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ORCIDSteven C. H. Hoi
Steven Chu-Hong Hoi
Person information
- affiliation: Singapore Management University, School of Information Systems, Singapore
- affiliation: Nanyang Technological University, School of Computer Engineering, Singapore
- affiliation: Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
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Books and Theses
- 2006
[b1]Steven Chu-Hong Hoi:
Statistical machine learning for data mining and collaborative multimedia retrieval. Chinese University of Hong Kong, Hong Kong, 2006
Journal Articles
- 2024
- [j108]Quang Pham
, Chenghao Liu, Steven C. H. Hoi:
Continual Learning, Fast and Slow. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 134-149 (2024) - [j107]Zemin Liu, Yuan Fang, Wentao Zhang, Xinming Zhang, Steven C. H. Hoi:
Locality-Aware Tail Node Embeddings on Homogeneous and Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. 36(6): 2517-2532 (2024) - [j106]Xingyu Gao, Xi Wang, Zhenyu Chen, Wei Zhou, Steven C. H. Hoi:
Knowledge Enhanced Vision and Language Model for Multi-Modal Fake News Detection. IEEE Trans. Multim. 26: 8312-8322 (2024) - [j105]Zhijian Wu, Jun Li, Chang Xu, Dingjiang Huang, Steven C. H. Hoi:
RUN: Rethinking the UNet Architecture for Efficient Image Restoration. IEEE Trans. Multim. 26: 10381-10394 (2024) - 2023
- [j104]Hanqing Wang, Wenguan Wang, Wei Liang, Steven C. H. Hoi, Jianbing Shen, Luc Van Gool:
Active Perception for Visual-Language Navigation. Int. J. Comput. Vis. 131(3): 607-625 (2023) - [j103]Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang:
Merlion: End-to-End Machine Learning for Time Series. J. Mach. Learn. Res. 24: 226:1-226:6 (2023) - [j102]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Learning Structural Representations for Recipe Generation and Food Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3363-3377 (2023) - [j101]Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi:
Improving Tail-Class Representation with Centroid Contrastive Learning. Pattern Recognit. Lett. 168: 123-130 (2023) - [j100]Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu:
RegNet: Self-Regulated Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9562-9567 (2023) - 2022
- [j99]Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi:
Deep Learning for Person Re-Identification: A Survey and Outlook. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2872-2893 (2022) - [j98]Pan Zhou, Xiao-Tong Yuan, Zhouchen Lin, Steven C. H. Hoi:
A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 5933-5946 (2022) - [j97]Jianbing Shen, Yuanpei Liu, Xingping Dong, Xiankai Lu, Fahad Shahbaz Khan, Steven C. H. Hoi:
Distilled Siamese Networks for Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8896-8909 (2022) - [j96]Chuhui Xue, Shijian Lu, Steven C. H. Hoi:
Detection and rectification of arbitrary shaped scene texts by using text keypoints and links. Pattern Recognit. 124: 108494 (2022) - [j95]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Decomposing generation networks with structure prediction for recipe generation. Pattern Recognit. 126: 108578 (2022) - [j94]Chen Zhang, Jun Long Lim, Ouyang Liu, Aayush Madan, Yongwei Zhu, Shili Xiang, Kai Wu, Rebecca Yen-Ni Wong, Eugene Phua Jiliang, Karan M. Sabnani, Keng Boon Siah, Wenyu Jiang, Yixin Wang, Emily Hao Jianzhong, Steven C. H. Hoi:
A Data-Driven Method for Online Monitoring Tube Wall Thinning Process in Dynamic Noisy Environment. IEEE Trans Autom. Sci. Eng. 19(1): 441-456 (2022) - [j93]Cen Chen, Xiaofeng Zou, Zeng Zeng, Zhongyao Cheng, Le Zhang, Steven C. H. Hoi:
Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains. IEEE Trans. Cybern. 52(2): 1233-1246 (2022) - [j92]Mang Ye, He Li, Bo Du, Jianbing Shen, Ling Shao, Steven C. H. Hoi:
Collaborative Refining for Person Re-Identification With Label Noise. IEEE Trans. Image Process. 31: 379-391 (2022) - [j91]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Cross-Modal Graph With Meta Concepts for Video Captioning. IEEE Trans. Image Process. 31: 5150-5162 (2022) - [j90]Cen Chen, Kenli Li, Zhongyao Cheng, Francesco Piccialli, Steven C. H. Hoi, Zeng Zeng:
A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains. IEEE Trans. Intell. Transp. Syst. 23(4): 3268-3280 (2022) - [j89]Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi:
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism. IEEE Trans. Multim. 24: 2515-2525 (2022) - 2021
- [j88]Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao:
Online learning: A comprehensive survey. Neurocomputing 459: 249-289 (2021) - [j87]Wenguan Wang, Jianbing Shen, Xiankai Lu, Steven C. H. Hoi, Haibin Ling:
Paying Attention to Video Object Pattern Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2413-2428 (2021) - [j86]Zhihao Wang, Jian Chen, Steven C. H. Hoi:
Deep Learning for Image Super-Resolution: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3365-3387 (2021) - [j85]Jialiang Zhang, Lixiang Lin, Jianke Zhu, Yang Li, Yun-chen Chen, Yao Hu, Steven C. H. Hoi:
Attribute-Aware Pedestrian Detection in a Crowd. IEEE Trans. Multim. 23: 3085-3097 (2021) - 2020
- [j84]Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi:
Hierarchical multimodal attention for end-to-end audio-visual scene-aware dialogue response generation. Comput. Speech Lang. 63: 101095 (2020) - [j83]Jialiang Zhang, Xiongwei Wu, Steven C. H. Hoi, Jianke Zhu:
Feature agglomeration networks for single stage face detection. Neurocomputing 380: 180-189 (2020) - [j82]Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi:
Recent advances in deep learning for object detection. Neurocomputing 396: 39-64 (2020) - [j81]Xiongwei Wu, Doyen Sahoo, Daoxin Zhang, Jianke Zhu, Steven C. H. Hoi:
Single-shot bidirectional pyramid networks for high-quality object detection. Neurocomputing 401: 1-9 (2020) - [j80]Guangxia Li, Peilin Zhao, Tao Mei, Peng Yang, Yulong Shen, Kuiyu Chang, Steven C. H. Hoi:
Collaborative online ranking algorithms for multitask learning. Knowl. Inf. Syst. 62(6): 2327-2348 (2020) - [j79]Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu:
DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification. Neural Networks 127: 182-192 (2020) - [j78]Zhao Kang, Haiqi Pan, Steven C. H. Hoi, Zenglin Xu:
Robust Graph Learning From Noisy Data. IEEE Trans. Cybern. 50(5): 1833-1843 (2020) - [j77]Peilin Zhao, Dayong Wang, Pengcheng Wu, Steven C. H. Hoi:
A Unified Framework for Sparse Online Learning. ACM Trans. Knowl. Discov. Data 14(5): 59:1-59:20 (2020) - [j76]Chen Zhang, Steven C. H. Hoi, Fugee Tsung:
Time-Warped Sparse Non-negative Factorization for Functional Data Analysis. ACM Trans. Knowl. Discov. Data 14(6): 72:1-72:23 (2020) - [j75]Hantang Liu, Yinghao Xu, Jialiang Zhang, Jianke Zhu, Yang Li, Steven C. H. Hoi:
DeepFacade: A Deep Learning Approach to Facade Parsing With Symmetric Loss. IEEE Trans. Multim. 22(12): 3153-3165 (2020) - [j74]Dongming Wu, Xingping Dong, Jianbing Shen, Steven C. H. Hoi:
Reducing Estimation Bias via Triplet-Average Deep Deterministic Policy Gradient. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4933-4945 (2020) - 2019
- [j73]Yazhou Ren, Kangrong Hu, Xinyi Dai, Lili Pan, Steven C. H. Hoi, Zenglin Xu:
Semi-supervised deep embedded clustering. Neurocomputing 325: 121-130 (2019) - [j72]Guangxia Li, Yulong Shen, Peilin Zhao, Xiao Lu, Jia Liu, Yangyang Liu, Steven C. H. Hoi:
Detecting cyberattacks in industrial control systems using online learning algorithms. Neurocomputing 364: 338-348 (2019) - [j71]Doyen Sahoo, Steven C. H. Hoi, Bin Li:
Large Scale Online Multiple Kernel Regression with Application to Time-Series Prediction. ACM Trans. Knowl. Discov. Data 13(1): 9:1-9:33 (2019) - [j70]Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang:
Adaptive Cost-Sensitive Online Classification. IEEE Trans. Knowl. Data Eng. 31(2): 214-228 (2019) - 2018
- [j69]Zeng Zeng, Nanying Liang, XuLei Yang, Steven C. H. Hoi:
Multi-target deep neural networks: Theoretical analysis and implementation. Neurocomputing 273: 634-642 (2018) - [j68]Xudong Sun, Pengcheng Wu, Steven C. H. Hoi:
Face detection using deep learning: An improved faster RCNN approach. Neurocomputing 299: 42-50 (2018) - [j67]Chi Zhang, Peilin Zhao, Shuji Hao, Yeng Chai Soh, Bu-Sung Lee, Chunyan Miao, Steven C. H. Hoi:
Distributed multi-task classification: a decentralized online learning approach. Mach. Learn. 107(4): 727-747 (2018) - [j66]Jing Lu, Doyen Sahoo, Peilin Zhao, Steven C. H. Hoi:
Sparse Passive-Aggressive Learning for Bounded Online Kernel Methods. ACM Trans. Intell. Syst. Technol. 9(4): 45:1-45:27 (2018) - [j65]Dingjiang Huang, Shunchang Yu, Bin Li, Steven C. H. Hoi, Shuigeng Zhou:
Combination Forecasting Reversion Strategy for Online Portfolio Selection. ACM Trans. Intell. Syst. Technol. 9(5): 58:1-58:22 (2018) - [j64]Shuji Hao, Peiying Hu, Peilin Zhao, Steven C. H. Hoi, Chunyan Miao:
Online Active Learning with Expert Advice. ACM Trans. Knowl. Discov. Data 12(5): 58:1-58:22 (2018) - [j63]Shuji Hao, Jing Lu, Peilin Zhao, Chi Zhang, Steven C. H. Hoi, Chunyan Miao:
Second-Order Online Active Learning and Its Applications. IEEE Trans. Knowl. Data Eng. 30(7): 1338-1351 (2018) - 2017
- [j62]Ji Wan, Sheng Tang, Yongdong Zhang, Jintao Li, Pengcheng Wu, Steven C. H. Hoi:
HDIdx: High-dimensional indexing for efficient approximate nearest neighbor search. Neurocomputing 237: 401-404 (2017) - [j61]Yue Wu, Steven C. H. Hoi, Chenghao Liu, Jing Lu, Doyen Sahoo, Nenghai Yu:
SOL: A library for scalable online learning algorithms. Neurocomputing 260: 9-12 (2017) - [j60]Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun:
Collaborative topic regression for online recommender systems: an online and Bayesian approach. Mach. Learn. 106(5): 651-670 (2017) - [j59]Xingyu Gao, Steven C. H. Hoi, Yongdong Zhang, Jianshe Zhou, Ji Wan, Zhenyu Chen, Jintao Li, Jianke Zhu:
Sparse Online Learning of Image Similarity. ACM Trans. Intell. Syst. Technol. 8(5): 64:1-64:22 (2017) - [j58]Yue Wu, Steven C. H. Hoi, Tao Mei, Nenghai Yu:
Large-Scale Online Feature Selection for Ultra-High Dimensional Sparse Data. ACM Trans. Knowl. Discov. Data 11(4): 48:1-48:22 (2017) - [j57]Qingqun Ning, Jianke Zhu, Zhiyuan Zhong, Steven C. H. Hoi, Chun Chen:
Scalable Image Retrieval by Sparse Product Quantization. IEEE Trans. Multim. 19(3): 586-597 (2017) - 2016
- [j56]Bin Li, Doyen Sahoo, Steven C. H. Hoi:
OLPS: A Toolbox for On-Line Portfolio Selection. J. Mach. Learn. Res. 17: 35:1-35:5 (2016) - [j55]Jing Lu, Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Zhiyong Liu:
Large Scale Online Kernel Learning. J. Mach. Learn. Res. 17: 47:1-47:43 (2016) - [j54]Jing Lu, Peilin Zhao, Steven C. H. Hoi:
Online Passive-Aggressive Active learning. Mach. Learn. 103(2): 141-183 (2016) - [j53]Jialei Wang, Peilin Zhao, Steven C. H. Hoi:
Soft Confidence-Weighted Learning. ACM Trans. Intell. Syst. Technol. 8(1): 15:1-15:32 (2016) - [j52]Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Chunyan Miao, Zhiyong Liu:
Online Multi-Modal Distance Metric Learning with Application to Image Retrieval. IEEE Trans. Knowl. Data Eng. 28(2): 454-467 (2016) - [j51]Dingjiang Huang, Junlong Zhou, Bin Li, Steven C. H. Hoi, Shuigeng Zhou:
Robust Median Reversion Strategy for Online Portfolio Selection. IEEE Trans. Knowl. Data Eng. 28(9): 2480-2493 (2016) - 2015
- [j50]Bin Li, Steven C. H. Hoi, Doyen Sahoo, Zhiyong Liu:
Moving average reversion strategy for on-line portfolio selection. Artif. Intell. 222: 104-123 (2015) - [j49]Zhiyuan Zhong, Jianke Zhu, Steven C. H. Hoi:
Fast Object Retrieval Using Direct Spatial Matching. IEEE Trans. Multim. 17(8): 1391-1397 (2015) - 2014
- [j48]Peilin Zhao, Steven C. H. Hoi, Jialei Wang, Bin Li:
Online Transfer Learning. Artif. Intell. 216: 76-102 (2014) - [j47]Qian Liu, Steven C. H. Hoi, Chee Keong Kwoh, Limsoon Wong, Jinyan Li:
Integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots. BMC Bioinform. 15: 57 (2014) - [j46]Bin Li, Steven C. H. Hoi:
Online portfolio selection: A survey. ACM Comput. Surv. 46(3): 35:1-35:36 (2014) - [j45]Yong-Dong Zhang, Yu Wang, Sheng Tang, Steven C. H. Hoi, Jin-Tao Li:
FSpH: Fitted spectral hashing for efficient similarity search. Comput. Vis. Image Underst. 124: 3-11 (2014) - [j44]Ning Chen, Steven C. H. Hoi, Xiaokui Xiao:
Software process evaluation: a machine learning framework with application to defect management process. Empir. Softw. Eng. 19(6): 1531-1564 (2014) - [j43]Zhiyong Liu, Hong Qiao, Xu Yang, Steven C. H. Hoi:
Graph Matching by Simplified Convex-Concave Relaxation Procedure. Int. J. Comput. Vis. 109(3): 169-186 (2014) - [j42]Fei Xia, Dudu Tong, Lifeng Yang, Dayong Wang, Steven C. H. Hoi, Patrice Koehl, Lanyuan Lu:
Identifying essential pairwise interactions in elastic network model using the alpha shape theory. J. Comput. Chem. 35(15): 1111-1121 (2014) - [j41]Steven C. H. Hoi, Jialei Wang, Peilin Zhao:
LIBOL: a library for online learning algorithms. J. Mach. Learn. Res. 15(1): 495-499 (2014) - [j40]Hao Xia, Steven C. H. Hoi, Rong Jin, Peilin Zhao:
Online Multiple Kernel Similarity Learning for Visual Search. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 536-549 (2014) - [j39]Dayong Wang, Steven C. H. Hoi, Ying He, Jianke Zhu, Tao Mei, Jiebo Luo:
Retrieval-Based Face Annotation by Weak Label Regularized Local Coordinate Coding. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 550-563 (2014) - [j38]Liang Zhao, Steven C. H. Hoi, Zhenhua Li, Limsoon Wong, Hung T. Nguyen, Jinyan Li:
Coupling Graphs, Efficient Algorithmsand B-Cell Epitope Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 11(1): 7-16 (2014) - [j37]Jinfeng Zhuang, Tao Mei, Steven C. H. Hoi, Xian-Sheng Hua, Yongdong Zhang:
Community Discovery from Social Media by Low-Rank Matrix Recovery. ACM Trans. Intell. Syst. Technol. 5(4): 67:1-67:19 (2014) - [j36]Dayong Wang, Steven C. H. Hoi, Ying He, Jianke Zhu:
Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation. IEEE Trans. Knowl. Data Eng. 26(1): 166-179 (2014) - [j35]Jialei Wang, Peilin Zhao, Steven C. H. Hoi, Rong Jin:
Online Feature Selection and Its Applications. IEEE Trans. Knowl. Data Eng. 26(3): 698-710 (2014) - [j34]Guangxia Li, Steven C. H. Hoi, Kuiyu Chang, Wenting Liu, Ramesh C. Jain:
Collaborative Online Multitask Learning. IEEE Trans. Knowl. Data Eng. 26(8): 1866-1876 (2014) - [j33]Jialei Wang, Peilin Zhao, Steven C. H. Hoi:
Cost-Sensitive Online Classification. IEEE Trans. Knowl. Data Eng. 26(10): 2425-2438 (2014) - 2013
- [j32]Steven C. H. Hoi, Rong Jin, Peilin Zhao, Tianbao Yang:
Online Multiple Kernel Classification. Mach. Learn. 90(2): 289-316 (2013) - [j31]Zhi-Hua Zhou, Wee Sun Lee, Steven C. H. Hoi, Wray L. Buntine, Hiroshi Motoda:
Introduction: special issue of selected papers of ACML 2012. Mach. Learn. 92(2-3): 221-223 (2013) - [j30]Bin Li, Steven C. H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan:
Confidence Weighted Mean Reversion Strategy for Online Portfolio Selection. ACM Trans. Knowl. Discov. Data 7(1): 4:1-4:38 (2013) - [j29]Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng:
Classification in P2P networks with cascade support vector machines. ACM Trans. Knowl. Discov. Data 7(4): 20:1-20:29 (2013) - [j28]Hao Xia, Steven C. H. Hoi:
MKBoost: A Framework of Multiple Kernel Boosting. IEEE Trans. Knowl. Data Eng. 25(7): 1574-1586 (2013) - [j27]Hock Hee Ang, Vivekanand Gopalkrishnan, Indre Zliobaite, Mykola Pechenizkiy, Steven C. H. Hoi:
Predictive Handling of Asynchronous Concept Drifts in Distributed Environments. IEEE Trans. Knowl. Data Eng. 25(10): 2343-2355 (2013) - 2012
- [j26]Liang Zhao, Limsoon Wong, Lanyuan Lu, Steven C. H. Hoi, Jinyan Li:
B-cell epitope prediction through a graph model. BMC Bioinform. 13(S-17): S20 (2012) - [j25]Bin Li, Peilin Zhao, Steven C. H. Hoi, Vivekanand Gopalkrishnan:
PAMR: Passive aggressive mean reversion strategy for portfolio selection. Mach. Learn. 87(2): 221-258 (2012) - [j24]Jiazhi Xia, Dao Thi Phuong Quynh, Ying He, Xiaoming Chen, Steven C. H. Hoi:
Modeling and Compressing 3-D Facial Expressions Using Geometry Videos. IEEE Trans. Circuits Syst. Video Technol. 22(1): 77-90 (2012) - [j23]Steven C. H. Hoi, Rong Jin, Jinhui Tang, Zhi-Hua Zhou:
Introduction to the Special Section on Distance Metric Learning in Intelligent Systems. ACM Trans. Intell. Syst. Technol. 3(3): 52:1-52:2 (2012) - [j22]Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Nenghai Yu:
Learning Bregman Distance Functions for Semi-Supervised Clustering. IEEE Trans. Knowl. Data Eng. 24(3): 478-491 (2012) - [j21]Guangxia Li, Kuiyu Chang, Steven C. H. Hoi:
Multiview Semi-Supervised Learning with Consensus. IEEE Trans. Knowl. Data Eng. 24(11): 2040-2051 (2012) - 2011
- [j20]Qian Liu, Steven C. H. Hoi, Chinh T. T. Su, Zhenhua Li, Chee Keong Kwoh, Limsoon Wong, Jinyan Li:
Structural analysis of the hot spots in the binding between H1N1 HA and the 2D1 antibody: do mutations of H1N1 from 1918 to 2009 affect much on this binding? Bioinform. 27(18): 2529-2536 (2011) - [j19]Lei Wu, Steven C. H. Hoi:
Enhancing Bag-of-Words Models with Semantics-Preserving Metric Learning. IEEE Multim. 18(1): 24-37 (2011) - [j18]Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi:
A Family of Simple Non-Parametric Kernel Learning Algorithms. J. Mach. Learn. Res. 12: 1313-1347 (2011) - [j17]Peilin Zhao, Steven C. H. Hoi, Rong Jin:
Double Updating Online Learning. J. Mach. Learn. Res. 12: 1587-1615 (2011) - [j16]Boon-Seng Chew, Lap-Pui Chau, Ying He, Dayong Wang, Steven C. H. Hoi:
Spectral Geometry Image: Image Based 3D Models for Digital Broadcasting Applications. IEEE Trans. Broadcast. 57(3): 636-645 (2011) - [j15]Steven C. H. Hoi, Rong Jin:
Active multiple kernel learning for interactive 3D object retrieval systems. ACM Trans. Interact. Intell. Syst. 1(1): 3:1-3:27 (2011) - [j14]Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Nenghai Yu:
Distance metric learning from uncertain side information for automated photo tagging. ACM Trans. Intell. Syst. Technol. 2(2): 13:1-13:28 (2011) - [j13]Bin Li, Steven C. H. Hoi, Vivekanand Gopalkrishnan:
CORN: Correlation-driven nonparametric learning approach for portfolio selection. ACM Trans. Intell. Syst. Technol. 2(3): 21:1-21:29 (2011) - [j12]Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu, Shuicheng Yan:
Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching. ACM Trans. Multim. Comput. Commun. Appl. 7(1): 4:1-4:24 (2011) - 2010
- [j11]Liu Yang, Rong Jin, Lily B. Mummert, Rahul Sukthankar, Adam Goode, Bin Zheng, Steven C. H. Hoi, Mahadev Satyanarayanan:
A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 32(1): 30-44 (2010) - [j10]Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven C. H. Hoi:
P2PDocTagger: Content management through automated P2P collaborative tagging. Proc. VLDB Endow. 3(2): 1601-1604 (2010) - [j9]Lei Wu, Steven C. H. Hoi, Nenghai Yu:
Semantics-Preserving Bag-of-Words Models and Applications. IEEE Trans. Image Process. 19(7): 1908-1920 (2010) - [j8]Steven C. H. Hoi, Wei Liu, Shih-Fu Chang:
Semi-supervised distance metric learning for collaborative image retrieval and clustering. ACM Trans. Multim. Comput. Commun. Appl. 6(3): 18:1-18:26 (2010) - 2009
- [j7]Steven C. H. Hoi, Rong Jin, Michael R. Lyu:
Batch Mode Active Learning with Applications to Text Categorization and Image Retrieval. IEEE Trans. Knowl. Data Eng. 21(9): 1233-1248 (2009) - [j6]Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu:
Semisupervised SVM batch mode active learning with applications to image retrieval. ACM Trans. Inf. Syst. 27(3): 16:1-16:29 (2009) - 2008
- [j5]Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu:
Face Annotation Using Transductive Kernel Fisher Discriminant. IEEE Trans. Multim. 10(1): 86-96 (2008) - [j4]Steven C. H. Hoi, Michael R. Lyu:
A Multimodal and Multilevel Ranking Scheme for Large-Scale Video Retrieval. IEEE Trans. Multim. 10(4): 607-619 (2008) - [j3]Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu:
Robust Regularized Kernel Regression. IEEE Trans. Syst. Man Cybern. Part B 38(6): 1639-1644 (2008) - 2006
- [j2]Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu:
Collaborative image retrieval via regularized metric learning. Multim. Syst. 12(1): 34-44 (2006) - [j1]Steven C. H. Hoi, Michael R. Lyu, Rong Jin:
A Unified Log-Based Relevance Feedback Scheme for Image Retrieval. IEEE Trans. Knowl. Data Eng. 18(4): 509-524 (2006)
Conference and Workshop Papers
- 2024
- [c224]Anthony Meng Huat Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven C. H. Hoi, Caiming Xiong:
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. NAACL-HLT 2024: 3427-3454 - 2023
- [c223]Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi:
LAVIS: A One-stop Library for Language-Vision Intelligence. ACL (demo) 2023: 31-41 - [c222]Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven C. H. Hoi:
From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models. CVPR 2023: 10867-10877 - [c221]Yue Wang, Hung Le, Akhilesh Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi:
CodeT5+: Open Code Large Language Models for Code Understanding and Generation. EMNLP 2023: 1069-1088 - [c220]Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi:
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. EMNLP 2023: 5754-5765 - [c219]Hailin Chen, Amrita Saha, Steven Chu-Hong Hoi, Shafiq Joty:
Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation. EMNLP 2023: 6737-6749 - [c218]Weishi Wang, Yue Wang, Steven C. H. Hoi, Shafiq Joty:
Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models. EMNLP 2023: 6954-6968 - [c217]Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
OTW: Optimal Transport Warping for Time Series. ICASSP 2023: 1-5 - [c216]Junnan Li, Silvio Savarese, Steven C. H. Hoi:
Masked Unsupervised Self-training for Label-free Image Classification. ICLR 2023 - [c215]Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Learning Fast and Slow for Online Time Series Forecasting. ICLR 2023 - [c214]Junnan Li, Dongxu Li, Silvio Savarese, Steven C. H. Hoi:
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. ICML 2023: 19730-19742 - [c213]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
Learning Deep Time-index Models for Time Series Forecasting. ICML 2023: 37217-37237 - [c212]Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, Steven C. H. Hoi:
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning. NeurIPS 2023 - [c211]Dongxu Li, Junnan Li, Steven C. H. Hoi:
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing. NeurIPS 2023 - [c210]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
C3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues. SIGDIAL 2023: 548-561 - [c209]Weishi Wang, Yue Wang, Shafiq Joty, Steven C. H. Hoi:
RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair. ESEC/SIGSOFT FSE 2023: 146-158 - [c208]Akhilesh Deepak Gotmare, Junnan Li, Shafiq Joty, Steven C. H. Hoi:
Efficient Text-to-Code Retrieval with Cascaded Fast and Slow Transformer Models. ESEC/SIGSOFT FSE 2023: 388-400 - [c207]Steven C. H. Hoi:
Responsible AI for Trusted AI-powered Enterprise Platforms. WSDM 2023: 1277-1278 - 2022
- [c206]Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi:
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text. AAAI 2022: 11238-11247 - [c205]Dongxu Li, Junnan Li, Hongdong Li, Juan Carlos Niebles, Steven C. H. Hoi:
Align and Prompt: Video-and-Language Pre-training with Entity Prompts. CVPR 2022: 4943-4953 - [c204]Guangsen Wang, Samson Tan, Shafiq R. Joty, Gang Wu, Jimmy Au, Steven C. H. Hoi:
BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems. EMNLP (Demos) 2022: 178-190 - [c203]Nghi Bui, Yue Wang, Steven C. H. Hoi:
Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5. EMNLP (Findings) 2022: 812-823 - [c202]Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, Steven C. H. Hoi:
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. EMNLP (Findings) 2022: 951-967 - [c201]Hailin Chen, Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi:
Learning Label Modular Prompts for Text Classification in the Wild. EMNLP 2022: 1677-1690 - [c200]Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi, Soujanya Poria:
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding. EMNLP 2022: 6776-6791 - [c199]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning. ICLR 2022 - [c198]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. ICLR 2022 - [c197]Junnan Li, Dongxu Li, Caiming Xiong, Steven C. H. Hoi:
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. ICML 2022: 12888-12900 - [c196]Amrita Saha, Steven C. H. Hoi:
Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps. ICSE (SEIP) 2022: 197-206 - [c195]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval. ACM Multimedia 2022: 5517-5526 - [c194]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems. NAACL-HLT 2022: 3377-3393 - [c193]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
Multimodal Dialogue State Tracking. NAACL-HLT 2022: 3394-3415 - [c192]Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven Chu-Hong Hoi:
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning. NeurIPS 2022 - 2021
- [c191]Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi:
Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph. AAAI 2021: 4267-4275 - [c190]Wenzhuo Yang, Jia Li, Chenxi Li, Latrice Barnett, Markus Anderle, Simo Arajärvi, Harshavardhan Utharavalli, Caiming Xiong, Steven C. H. Hoi:
On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation. CIKM 2021: 4302-4311 - [c189]Yue Wang, Weishi Wang, Shafiq R. Joty, Steven C. H. Hoi:
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation. EMNLP (1) 2021: 8696-8708 - [c188]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization. ICCV 2021: 9455-9464 - [c187]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
Learning from Noisy Data with Robust Representation Learning. ICCV 2021: 9465-9474 - [c186]Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao:
VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results. ICCVW 2021: 2830-2838 - [c185]Guanlin Chen, Wenguan Wang, Zhijian He, Lujia Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven Chu-Hong Hoi, Qinghua Hu, Ming Liu, Andrea Sciarrone, Chao Sun, Chiara Garibotto, Duong Nguyen-Ngoc Tran, Fabio Lavagetto, Halar Haleem, Hakki Motorcu, Hasan F. Ates, Huy-Hung Nguyen, Hyung-Joon Jeon, Igor Bisio, Jae Wook Jeon, Jiahao Li, Long Hoang Pham, Moongu Jeon, Qianyu Feng, Shengwen Li, Tai Huu-Phuong Tran, Xiao Pan, Young-Min Song, Yuehan Yao, Yunhao Du, Zhenyu Xu, Zhipeng Luo:
VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCVW 2021: 2839-2846 - [c184]Yaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Chong Cheng, Fanfan Liu, Guojin Cao, Guozhen Li, Hongkai Wang, Jianye He, Junfeng Wan, Qi Wan, Qi Zhao, Shuchang Lyu, Wenzhe Zhao, Xiaoqiang Lu, Xingkui Zhu, Yingjie Liu, Yixuan Lv, Yujing Ma, Yuting Yang, Zhe Wang, Zhenyu Xu, Zhipeng Luo, Zhimin Zhang, Zhiguang Zhang, Zihao Li, Zixiao Zhang:
VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results. ICCVW 2021: 2847-2854 - [c183]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
MoPro: Webly Supervised Learning with Momentum Prototypes. ICLR 2021 - [c182]Junnan Li, Pan Zhou, Caiming Xiong, Steven C. H. Hoi:
Prototypical Contrastive Learning of Unsupervised Representations. ICLR 2021 - [c181]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues. ICLR 2021 - [c180]Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Contextual Transformation Networks for Online Continual Learning. ICLR 2021 - [c179]Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi:
PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection. ICLR 2021 - [c178]Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi:
Node-wise Localization of Graph Neural Networks. IJCAI 2021: 1520-1526 - [c177]Genta Indra Winata, Guangsen Wang, Caiming Xiong, Steven C. H. Hoi:
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition. Interspeech 2021: 2451-2455 - [c176]Xiongwei Wu, Xin Fu, Ying Liu, Ee-Peng Lim, Steven C. H. Hoi, Qianru Sun:
A Large-Scale Benchmark for Food Image Segmentation. ACM Multimedia 2021: 506-515 - [c175]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Cycle-Consistent Inverse GAN for Text-to-Image Synthesis. ACM Multimedia 2021: 630-638 - [c174]Pan Zhou, Caiming Xiong, Xiaotong Yuan, Steven Chu-Hong Hoi:
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. NeurIPS 2021: 6183-6197 - [c173]Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Gotmare, Shafiq R. Joty, Caiming Xiong, Steven Chu-Hong Hoi:
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation. NeurIPS 2021: 9694-9705 - [c172]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
DualNet: Continual Learning, Fast and Slow. NeurIPS 2021: 16131-16144 - [c171]Chenghao Liu, Tao Lu, Zhiyong Cheng, Xin Wang, Jianling Sun, Steven C. H. Hoi:
Discrete Listwise Collaborative Filtering for Fast Recommendation. SDM 2021: 46-54 - [c170]Mouxiang Chen, Chenghao Liu, Jianling Sun, Steven C. H. Hoi:
Adapting Interactional Observation Embedding for Counterfactual Learning to Rank. SIGIR 2021: 285-294 - [c169]Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi:
Task similarity aware meta learning: theory-inspired improvement on MAML. UAI 2021: 23-33 - 2020
- [c168]Jichuan Zeng, Xi Victoria Lin, Steven C. H. Hoi, Richard Socher, Caiming Xiong, Michael R. Lyu, Irwin King:
Photon: A Robust Cross-Domain Text-to-SQL System. ACL (demo) 2020: 204-214 - [c167]Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi:
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. ACL 2020: 935-945 - [c166]Hung Le, Steven C. H. Hoi:
Video-Grounded Dialogues with Pretrained Generation Language Models. ACL 2020: 5842-5848 - [c165]Zemin Liu, Wentao Zhang, Yuan Fang, Xinming Zhang, Steven C. H. Hoi:
Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks. CIKM 2020: 975-984 - [c164]Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi:
Learning Video Object Segmentation From Unlabeled Videos. CVPR 2020: 8957-8967 - [c163]Bo Yan, Chenxi Ma, Bahetiyaer Bare, Weimin Tan, Steven C. H. Hoi:
Disparity-Aware Domain Adaptation in Stereo Image Restoration. CVPR 2020: 13176-13184 - [c162]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Structure-Aware Generation Network for Recipe Generation from Images. ECCV (27) 2020: 359-374 - [c161]Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng:
The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation. ECCV (14) 2020: 728-744 - [c160]Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi:
Adaptive Task Sampling for Meta-learning. ECCV (18) 2020: 752-769 - [c159]Chien-Sheng Wu, Steven C. H. Hoi, Richard Socher, Caiming Xiong:
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue. EMNLP (1) 2020: 917-929 - [c158]Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi:
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. EMNLP (1) 2020: 1846-1859 - [c157]Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi:
UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. EMNLP (1) 2020: 1860-1877 - [c156]Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu:
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. EMNLP (1) 2020: 2439-2449 - [c155]Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi:
VD-BERT: A Unified Vision and Dialog Transformer with BERT. EMNLP (1) 2020: 3325-3338 - [c154]Chien-Sheng Wu, Steven C. H. Hoi, Caiming Xiong:
Improving Limited Labeled Dialogue State Tracking with Self-Supervision. EMNLP (Findings) 2020: 4462-4472 - [c153]Weishi Wang, Steven C. H. Hoi, Shafiq R. Joty:
Response Selection for Multi-Party Conversations with Dynamic Topic Tracking. EMNLP (1) 2020: 6581-6591 - [c152]Hung Le, Richard Socher, Steven C. H. Hoi:
Non-Autoregressive Dialog State Tracking. ICLR 2020 - [c151]Junnan Li, Richard Socher, Steven C. H. Hoi:
DivideMix: Learning with Noisy Labels as Semi-supervised Learning. ICLR 2020 - [c150]Xuan-Phi Nguyen, Shafiq R. Joty, Steven C. H. Hoi, Richard Socher:
Tree-Structured Attention with Hierarchical Accumulation. ICLR 2020 - [c149]Jianwen Yin, Chenghao Liu, Weiqing Wang, Jianling Sun, Steven C. H. Hoi:
Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling. KDD 2020: 359-367 - [c148]Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi:
Meta-RCNN: Meta Learning for Few-Shot Object Detection. ACM Multimedia 2020: 1679-1687 - [c147]Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu-Hong Hoi, Weinan E:
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning. NeurIPS 2020 - [c146]Pan Zhou, Caiming Xiong, Richard Socher, Steven Chu-Hong Hoi:
Theory-Inspired Path-Regularized Differential Network Architecture Search. NeurIPS 2020 - 2019
- [c145]Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi:
Discrete Social Recommendation. AAAI 2019: 208-215 - [c144]Chen Zhang, Steven C. H. Hoi:
Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach. AAAI 2019: 5733-5740 - [c143]Yang Li, Jianke Zhu, Steven C. H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu:
Robust Estimation of Similarity Transformation for Visual Object Tracking. AAAI 2019: 8666-8673 - [c142]Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi:
Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems. ACL (1) 2019: 5612-5623 - [c141]Wenguan Wang, Shuyang Zhao, Jianbing Shen, Steven C. H. Hoi, Ali Borji:
Salient Object Detection With Pyramid Attention and Salient Edges. CVPR 2019: 1448-1457 - [c140]Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven C. H. Hoi, Haibin Ling:
Learning Unsupervised Video Object Segmentation Through Visual Attention. CVPR 2019: 3064-3074 - [c139]Peng Gao, Zhengkai Jiang, Haoxuan You, Pan Lu, Steven C. H. Hoi, Xiaogang Wang, Hongsheng Li:
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering. CVPR 2019: 6639-6648 - [c138]Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi:
Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images. CVPR 2019: 11572-11581 - [c137]Doyen Sahoo, Hao Wang, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi:
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. KDD 2019: 2260-2268 - [c136]Congbo Ma, Hu Wang, Steven C. H. Hoi:
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks. MICCAI (6) 2019: 730-738 - [c135]Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi:
Robust Factorization Machine: A Doubly Capped Norms Minimization. SDM 2019: 738-746 - [c134]Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven C. H. Hoi:
Compositional Coding for Collaborative Filtering. SIGIR 2019: 145-154 - 2018
- [c133]Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi:
Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points. AAAI 2018: 2339-2346 - [c132]Peng Gao, Hongsheng Li, Shuang Li, Pan Lu, Yikang Li, Steven C. H. Hoi, Xiaogang Wang:
Question-Guided Hybrid Convolution for Visual Question Answering. ECCV (1) 2018: 485-501 - [c131]Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi:
Online Deep Learning: Learning Deep Neural Networks on the Fly. IJCAI 2018: 2660-2666 - [c130]Xulei Yang, Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, Steven C. H. Hoi:
Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions. KDD 2018: 923-931 - 2017
- [c129]Xin Wang, Steven C. H. Hoi, Chenghao Liu, Martin Ester:
Interactive Social Recommendation. CIKM 2017: 357-366 - [c128]Yi Ding, Chenghao Liu, Peilin Zhao, Steven C. H. Hoi:
Large Scale Kernel Methods for Online AUC Maximization. ICDM 2017: 91-100 - [c127]Wenpeng Zhang, Peilin Zhao, Wenwu Zhu, Steven C. H. Hoi, Tong Zhang:
Projection-free Distributed Online Learning in Networks. ICML 2017: 4054-4062 - [c126]Shuji Hao, Peilin Zhao, Yong Liu, Steven C. H. Hoi, Chunyan Miao:
Online Multitask Relative Similarity Learning. IJCAI 2017: 1823-1829 - [c125]Hantang Liu, Jialiang Zhang, Jianke Zhu, Steven C. H. Hoi:
DeepFacade: A Deep Learning Approach to Facade Parsing. IJCAI 2017: 2301-2307 - [c124]Xin Wang, Steven C. H. Hoi, Martin Ester, Jiajun Bu, Chun Chen:
Learning Personalized Preference of Strong and Weak Ties for Social Recommendation. WWW 2017: 1601-1610 - 2016
- [c123]Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun:
Online ARIMA Algorithms for Time Series Prediction. AAAI 2016: 1867-1873 - [c122]Doyen Sahoo, Steven C. H. Hoi, Peilin Zhao:
Cost Sensitive Online Multiple Kernel Classification. ACML 2016: 65-80 - [c121]Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun, Ee-Peng Lim:
Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications. CIKM 2016: 1161-1170 - [c120]Shuji Hao, Peilin Zhao, Jing Lu, Steven C. H. Hoi, Chunyan Miao, Chi Zhang:
SOAL: Second-Order Online Active Learning. ICDM 2016: 931-936 - [c119]Doyen Sahoo, Abhishek Sharma, Steven C. H. Hoi, Peilin Zhao:
Temporal Kernel Descriptors for Learning with Time-sensitive Patterns. SDM 2016: 540-548 - [c118]Jing Lu, Peilin Zhao, Steven C. H. Hoi:
Online Sparse Passive Aggressive Learning with Kernels. SDM 2016: 675-683 - [c117]Zhiyong Cheng, Jialie Shen, Steven C. H. Hoi:
On Effective Personalized Music Retrieval by Exploring Online User Behaviors. SIGIR 2016: 125-134 - [c116]Peng Yang, Peilin Zhao, Zhen Hai, Wei Liu, Steven C. H. Hoi, Xiaoli Li:
Efficient Multi-Class Selective Sampling on Graphs. UAI 2016 - [c115]Ning Chen, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao:
Mobile App Tagging. WSDM 2016: 63-72 - 2015
- [c114]Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong:
An Adaptive Gradient Method for Online AUC Maximization. AAAI 2015: 2568-2574 - [c113]Jialei Wang, Ji Wan, Yongdong Zhang, Steven C. H. Hoi:
SOLAR: Scalable Online Learning Algorithms for Ranking. ACL (1) 2015: 1692-1701 - [c112]Shuji Hao, Peilin Zhao, Steven C. H. Hoi, Chunyan Miao:
Learning Relative Similarity from Data Streams: Active Online Learning Approaches. CIKM 2015: 1181-1190 - [c111]Yang Li, Jianke Zhu, Steven C. H. Hoi:
Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches. CVPR 2015: 353-361 - [c110]Kasthuri Jayarajah, Meera Radhakrishnan, Steven C. H. Hoi, Archan Misra:
Candy crushing your sleep. UbiComp/ISWC Adjunct 2015: 753-762 - [c109]Peilin Zhao, Furen Zhuang, Min Wu, Xiaoli Li, Steven C. H. Hoi:
Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications. ICDM 2015: 649-658 - [c108]Dingjiang Huang, Yan Zhu, Bin Li, Shuigeng Zhou, Steven C. H. Hoi:
Semi-Universal Portfolios with Transaction Costs. IJCAI 2015: 178-184 - [c107]Ji Wan, Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Xingyu Gao, Dayong Wang, Yongdong Zhang, Jintao Li:
Online Learning to Rank for Content-Based Image Retrieval. IJCAI 2015: 2284-2290 - [c106]Shuji Hao, Steven C. H. Hoi, Chunyan Miao, Peilin Zhao:
Active Crowdsourcing for Annotation. WI-IAT (2) 2015: 1-8 - [c105]Ning Chen, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao:
SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning. WSDM 2015: 305-314 - 2014
- [c104]Xingyu Gao, Steven C. H. Hoi, Yongdong Zhang, Ji Wan, Jintao Li:
SOML: Sparse Online Metric Learning with Application to Image Retrieval. AAAI 2014: 1206-1212 - [c103]Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C. H. Hoi:
Learning Relative Similarity by Stochastic Dual Coordinate Ascent. AAAI 2014: 2142-2148 - [c102]Jing Lu, Peilin Zhao, Steven C. H. Hoi:
Online Passive Aggressive Active Learning and Its Applications. ACML 2014 - [c101]Dayong Wang, Pengcheng Wu, Peilin Zhao, Yue Wu, Chunyan Miao, Steven C. H. Hoi:
High-Dimensional Data Stream Classification via Sparse Online Learning. ICDM 2014: 1007-1012 - [c100]Ning Chen, Jialiu Lin, Steven C. H. Hoi, Xiaokui Xiao, Boshen Zhang:
AR-miner: mining informative reviews for developers from mobile app marketplace. ICSE 2014: 767-778 - [c99]Doyen Sahoo, Steven C. H. Hoi, Bin Li:
Online multiple kernel regression. KDD 2014: 293-302 - [c98]Ji Wan, Dayong Wang, Steven Chu-Hong Hoi, Pengcheng Wu, Jianke Zhu, Yongdong Zhang, Jintao Li:
Deep Learning for Content-Based Image Retrieval: A Comprehensive Study. ACM Multimedia 2014: 157-166 - 2013
- [c97]Jing Lu, Steven C. H. Hoi, Jialei Wang:
Second Order Online Collaborative Filtering. ACML 2013: 325-340 - [c96]Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Jinfeng Zhuang, Zhiyong Liu:
Large Scale Online Kernel Classification. IJCAI 2013: 1750-1756 - [c95]Dingjiang Huang, Junlong Zhou, Bin Li, Steven C. H. Hoi, Shuigeng Zhou:
Robust Median Reversion Strategy for On-Line Portfolio Selection. IJCAI 2013: 2006-2012 - [c94]Peilin Zhao, Steven C. H. Hoi:
Cost-sensitive online active learning with application to malicious URL detection. KDD 2013: 919-927 - [c93]Pengcheng Wu, Steven C. H. Hoi, Hao Xia, Peilin Zhao, Dayong Wang, Chunyan Miao:
Online multimodal deep similarity learning with application to image retrieval. ACM Multimedia 2013: 153-162 - [c92]Jialei Wang, Steven C. H. Hoi, Peilin Zhao, Zhiyong Liu:
Online multi-task collaborative filtering for on-the-fly recommender systems. RecSys 2013: 237-244 - [c91]Steven C. H. Hoi, Peilin Zhao:
Cost-Sensitive Double Updating Online Learning and Its Application to Online Anomaly Detection. SDM 2013: 207-215 - [c90]Dayong Wang, Steven C. H. Hoi, Pengcheng Wu, Jianke Zhu, Ying He, Chunyan Miao:
Learning to name faces: a multimodal learning scheme for search-based face annotation. SIGIR 2013: 443-452 - [c89]Peilin Zhao, Steven C. H. Hoi, Jinfeng Zhuang:
Active Learning with Expert Advice. UAI 2013 - [c88]Hao Xia, Pengcheng Wu, Steven C. H. Hoi:
Online multi-modal distance learning for scalable multimedia retrieval. WSDM 2013: 455-464 - [c87]Steven C. H. Hoi, Dayong Wang, I. Yeu Cheng, Elmer Weijie Lin, Jianke Zhu, Ying He, Chunyan Miao:
FANS: face annotation by searching large-scale web facial images. WWW (Companion Volume) 2013: 317-320 - 2012
- [c86]Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Yi, Steven C. H. Hoi:
Online Kernel Selection: Algorithms and Evaluations. AAAI 2012: 1197-1203 - [c85]Dayong Wang, Steven Chu-Hong Hoi, Ying He:
A unified learning framework for auto face annotation by mining web facial images. CIKM 2012: 1392-1401 - [c84]Jialei Wang, Peilin Zhao, Steven C. H. Hoi:
Cost-Sensitive Online Classification. ICDM 2012: 1140-1145 - [c83]Steven C. H. Hoi, Jialei Wang, Peilin Zhao:
Exact Soft Confidence-Weighted Learning. ICML 2012 - [c82]Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin, Pengcheng Wu:
Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning. ICML 2012 - [c81]Bin Li, Steven C. H. Hoi:
On-Line Portfolio Selection with Moving Average Reversion. ICML 2012 - [c80]Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin:
Online feature selection for mining big data. BigMine 2012: 93-100 - [c79]Peilin Zhao, Steven C. H. Hoi:
BDUOL: Double Updating Online Learning on a Fixed Budget. ECML/PKDD (1) 2012: 810-826 - [c78]Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin:
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval. SIGIR 2012: 55-64 - [c77]Steven C. H. Hoi, Wray L. Buntine:
Preface. ACML 2012 - 2011
- [c76]Guangxia Li, Kuiyu Chang, Steven C. H. Hoi, Wenting Liu, Ramesh C. Jain:
Collaborative online learning of user generated content. CIKM 2011: 285-290 - [c75]Jinfeng Zhuang, Tao Mei, Steven C. H. Hoi, Ying-Qing Xu, Shipeng Li:
When recommendation meets mobile: contextual and personalized recommendation on the go. UbiComp 2011: 153-162 - [c74]Peilin Zhao, Steven C. H. Hoi, Rong Jin, Tianbao Yang:
Online AUC Maximization. ICML 2011: 233-240 - [c73]Ning Chen, Steven C. H. Hoi, Xiaokui Xiao:
Software process evaluation: A machine learning approach. ASE 2011: 333-342 - [c72]Jinfeng Zhuang, Tao Mei, Steven C. H. Hoi, Xian-Sheng Hua, Shipeng Li:
Modeling social strength in social media community via kernel-based learning. ACM Multimedia 2011: 113-122 - [c71]Dayong Wang, Steven C. H. Hoi, Ying He, Jianke Zhu:
Retrieval-based face annotation by weak label regularized local coordinate coding. ACM Multimedia 2011: 353-362 - [c70]Dao Thi Phuong Quynh, Ying He, Xiaoming Chen, Jiazhi Xia, Qian Sun, Steven C. H. Hoi:
Modeling 3D articulated motions with conformal geometry videos (CGVs). ACM Multimedia 2011: 383-392 - [c69]Steven C. H. Hoi, Michal Jacovi, Ioannis Kompatsiaris, Jiebo Luo, Konstantinos Tserpes:
WSM2011: third ACM workshop on social media. ACM Multimedia 2011: 609-610 - [c68]Steven C. H. Hoi, Pengcheng Wu:
SIRE: a social image retrieval engine. ACM Multimedia 2011: 817-818 - [c67]Dayong Wang, Steven C. H. Hoi, Ying He:
An Effective Approach to Pose Invariant 3D Face Recognition. MMM (1) 2011: 217-228 - [c66]Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Ying He:
Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval. MMM (2) 2011: 371-382 - [c65]Hao Xia, Steven C. H. Hoi:
MKBoost: A Framework of Multiple Kernel Boosting. SDM 2011: 199-210 - [c64]Dayong Wang, Steven C. H. Hoi, Ying He:
Mining weakly labeled web facial images for search-based face annotation. SIGIR 2011: 535-544 - [c63]Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Ying He:
Mining social images with distance metric learning for automated image tagging. WSDM 2011: 197-206 - [c62]Jinfeng Zhuang, Steven C. H. Hoi:
A two-view learning approach for image tag ranking. WSDM 2011: 625-634 - [c61]Jialei Wang, Jinfeng Zhuang, Steven C. H. Hoi:
Unsupervised Multiple Kernel Learning. ACML 2011: 129-144 - [c60]Bin Li, Steven C. H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan:
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection. AISTATS 2011: 434-442 - [c59]Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi:
Two-Layer Multiple Kernel Learning. AISTATS 2011: 909-917 - 2010
- [c58]Rong Jin, Steven C. H. Hoi, Tianbao Yang:
Online Multiple Kernel Learning: Algorithms and Mistake Bounds. ALT 2010: 390-404 - [c57]Jinfeng Zhuang, Steven C. H. Hoi:
Non-parametric kernel ranking approach for social image retrieval. CIVR 2010: 26-33 - [c56]Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng:
Adaptive Ensemble Classification in P2P Networks. DASFAA (1) 2010: 34-48 - [c55]Guangxia Li, Steven C. H. Hoi, Kuiyu Chang, Ramesh C. Jain:
Micro-blogging Sentiment Detection by Collaborative Online Learning. ICDM 2010: 893-898 - [c54]Peilin Zhao, Steven C. H. Hoi:
OTL: A Framework of Online Transfer Learning. ICML 2010: 1231-1238 - [c53]Jiazhi Xia, Ying He, Dao Thi Phuong Quynh, Xiaoming Chen, Steven C. H. Hoi:
Modeling 3D facial expressions using geometry videos. ACM Multimedia 2010: 591-600 - [c52]Susanne Boll, Steven C. H. Hoi, Roelof van Zwol, Jiebo Luo:
WSM'10: 2nd ACM workshop on social media. ACM Multimedia 2010: 1737-1738 - [c51]Hock Hee Ang, Vivekanand Gopalkrishnan, Anwitaman Datta, Wee Keong Ng, Steven C. H. Hoi:
Satrap: Data and Network Heterogeneity Aware P2P Data-Mining. PAKDD (2) 2010: 63-70 - [c50]Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven C. H. Hoi:
On Classifying Drifting Concepts in P2P Networks. ECML/PKDD (1) 2010: 24-39 - [c49]Guangxia Li, Steven C. H. Hoi, Kuiyu Chang:
Two-View Transductive Support Vector Machines. SDM 2010: 235-244 - [c48]Yang Zhou, Rong Jin, Steven C. H. Hoi:
Exclusive Lasso for Multi-task Feature Selection. AISTATS 2010: 988-995 - 2009
- [c47]Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu:
Nonrigid shape recovery by Gaussian process regression. CVPR 2009: 1319-1326 - [c46]Jianke Zhu, Luc Van Gool, Steven C. H. Hoi:
Unsupervised face alignment by robust nonrigid mapping. ICCV 2009: 1265-1272 - [c45]Qi He, Daxin Jiang, Zhen Liao, Steven C. H. Hoi, Kuiyu Chang, Ee-Peng Lim, Hang Li:
Web Query Recommendation via Sequential Query Prediction. ICDE 2009: 1443-1454 - [c44]Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi:
SimpleNPKL: simple non-parametric kernel learning. ICML 2009: 1273-1280 - [c43]Lei Wu, Steven C. H. Hoi, Nenghai Yu:
Semantics-preserving bag-of-words models for efficient image annotation. LS-MMRM@ACM Multimedia 2009: 19-26 - [c42]Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Nenghai Yu:
Distance metric learning from uncertain side information with application to automated photo tagging. ACM Multimedia 2009: 135-144 - [c41]Ying He, Boon-Seng Chew, Dayong Wang, Steven Chu-Hong Hoi, Lap-Pui Chau:
Streaming 3D meshes using spectral geometry images. ACM Multimedia 2009: 431-440 - [c40]Susanne Boll, Steven C. H. Hoi, Jiebo Luo, Rong Jin, Irwin King, Dong Xu:
First ACM SIGMM international workshop onsocial media (WSM'09). ACM Multimedia 2009: 1161-1162 - [c39]Lei Wu, Rong Jin, Steven C. H. Hoi, Jianke Zhu, Nenghai Yu:
Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering. NIPS 2009: 2089-2097 - [c38]Peilin Zhao, Steven C. H. Hoi, Rong Jin:
DUOL: A Double Updating Approach for Online Learning. NIPS 2009: 2259-2267 - [c37]Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven C. H. Hoi:
Communication-Efficient Classification in P2P Networks. ECML/PKDD (1) 2009: 83-98 - 2008
- [c36]Steven C. H. Hoi, Rong Jin:
Semi-Supervised Ensemble Ranking. AAAI 2008: 634-639 - [c35]Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun, Rong Jin:
Representative entry selection for profiling blogs. CIKM 2008: 1387-1388 - [c34]Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu:
Semi-supervised SVM batch mode active learning for image retrieval. CVPR 2008 - [c33]Steven C. H. Hoi, Wei Liu, Shih-Fu Chang:
Semi-supervised distance metric learning for Collaborative Image Retrieval. CVPR 2008 - [c32]Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng, Anwitaman Datta:
Classification in P2P Networks by Bagging Cascade RSVMs. DBISP2P 2008: 13-25 - [c31]Wei Liu, Steven C. H. Hoi, Jianzhuang Liu:
Output Regularized Metric Learning with Side Information. ECCV (3) 2008: 358-371 - [c30]Jianke Zhu, Steven C. H. Hoi, Zenglin Xu, Michael R. Lyu:
An Effective Approach to 3D Deformable Surface Tracking. ECCV (3) 2008: 766-779 - [c29]Steven C. H. Hoi, Rong Jin:
Active kernel learning. ICML 2008: 400-407 - [c28]Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu, Shuicheng Yan:
Near-duplicate keyframe retrieval by nonrigid image matching. ACM Multimedia 2008: 41-50 - [c27]Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng:
Cascade RSVM in Peer-to-Peer Networks. ECML/PKDD (1) 2008: 55-70 - [c26]Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun:
On profiling blogs with representative entries. AND 2008: 55-62 - 2007
- [c25]Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, András A. Benczúr, Mátyás Brendel, Bálint Daróczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hernández-Gracidas, Steven C. H. Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marín-Castro, Hermann Ney, Xiaoguang Rui, Nicu Sebe, Julian Stöttinger, Lei Wu:
Overview of the ImageCLEF 2007 Object Retrieval Task. CLEF 2007: 445-471 - [c24]Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, András A. Benczúr, Mátyás Brendel, Bálint Daróczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hernández-Gracidas, Steven C. H. Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marín-Castro, Hermann Ney, Xiaoguang Rui, Nicu Sebe, Julian Stöttinger, Lei Wu:
Overview of the ImageCLEF 2007 Object Retrieval Task. CLEF (Working Notes) 2007 - [c23]Steven C. H. Hoi:
Cross-Language and Cross-Media Image Retrieval: An Empirical Study at ImageCLEF2007. CLEF 2007: 538-545 - [c22]Steven C. H. Hoi:
Cross-Language and Cross-Media Image Retrieval: An Empirical Study at ImageCLEF2007. CLEF (Working Notes) 2007 - [c21]Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu:
A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling. CVPR 2007 - [c20]Steven C. H. Hoi, Michael R. Lyu:
A Multimodal and Multilevel Ranking Framework for Content-Based Video Retrieval. ICASSP (4) 2007: 1225-1228 - [c19]Yuk Man Wong, Steven Chu-Hong Hoi, Michael R. Lyu:
An Empirical Study on Large-Scale Content-Based Image Retrieval. ICME 2007: 2206-2209 - [c18]Steven C. H. Hoi, Rong Jin, Michael R. Lyu:
Learning nonparametric kernel matrices from pairwise constraints. ICML 2007: 361-368 - [c17]Feng Kang, Rong Jin, Steven C. H. Hoi:
Similarity Beyond Distance Measurement. RIAO 2007: 449-460 - 2006
- [c16]Steven C. H. Hoi, Wei Liu, Michael R. Lyu, Wei-Ying Ma:
Learning Distance Metrics with Contextual Constraints for Image Retrieval. CVPR (2) 2006: 2072-2078 - [c15]Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu:
Real-Time Non-rigid Shape Recovery Via Active Appearance Models for Augmented Reality. ECCV (1) 2006: 186-197 - [c14]Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu:
Batch mode active learning and its application to medical image classification. ICML 2006: 417-424 - [c13]Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang:
Learning the unified kernel machines for classification. KDD 2006: 187-196 - [c12]Steven C. H. Hoi, Lawson L. S. Wong, Albert Lyu:
Chinese University of Hong Kong at TRECVID 2006: Shot Boundary Detection and Video Search. TRECVID 2006 - [c11]Qiankun Zhao, Steven C. H. Hoi, Tie-Yan Liu, Sourav S. Bhowmick, Michael R. Lyu, Wei-Ying Ma:
Time-dependent semantic similarity measure of queries using historical click-through data. WWW 2006: 543-552 - [c10]Steven C. H. Hoi, Rong Jin, Michael R. Lyu:
Large-scale text categorization by batch mode active learning. WWW 2006: 633-642 - 2005
- [c9]Steven C. H. Hoi, Jianke Zhu, Michael R. Lyu:
CUHK at ImageCLEF 2005: Cross-Language and Cross-Media Image Retrieval. CLEF 2005: 602-611 - [c8]Steven C. H. Hoi, Jianke Zhu, Michael R. Lyu:
CUHK Experiments with ImageCLEF 2005. CLEF (Working Notes) 2005 - [c7]Steven C. H. Hoi, Michael R. Lyu:
A Semi-Supervised Active Learning Framework for Image Retrieval. CVPR (2) 2005: 302-309 - [c6]Steven C. H. Hoi, Michael R. Lyu, Rong Jin:
Integrating User Feedback Log into Relevance Feedback by Coupled SVM for Content-Based Image Retrieval. ICDE Workshops 2005: 1177 - 2004
- [c5]Steven Chu-Hong Hoi, Michael R. Lyu:
Robust face recognition using minimax probability machine. ICME 2004: 1175-1178 - [c4]Steven Chu-Hong Hoi, Michael R. Lyu:
Group-based Relevance Feedback with Support Vector Machine Ensembles. ICPR (3) 2004: 874-877 - [c3]Steven Chu-Hong Hoi, Michael R. Lyu:
A novel log-based relevance feedback technique in content-based image retrieval. ACM Multimedia 2004: 24-31 - [c2]Steven Chu-Hong Hoi, Michael R. Lyu:
Web image learning for searching semantic concepts in image databases. WWW (Alternate Track Papers & Posters) 2004: 406-407 - 2003
- [c1]Steven Chu-Hong Hoi, Wei Wang, Michael R. Lyu:
A Novel Scheme for Video Similarity Detection. CIVR 2003: 373-382
Parts in Books or Collections
- 2011
- [p1]Jinfeng Zhuang, Steven C. H. Hoi:
Social Image Tag Ranking by Two-View Learning. Social Media Modeling and Computing 2011: 47-70
Editorship
- 2012
- [e4]Steven C. H. Hoi, Wray L. Buntine:
Proceedings of the 4th Asian Conference on Machine Learning, ACML 2012, Singapore, Singapore, November 4-6, 2012. JMLR Proceedings 25, JMLR.org 2012 [contents] - 2011
- [e3]Steven C. H. Hoi, Jiebo Luo, Susanne Boll, Dong Xu, Rong Jin:
Social Media Modeling and Computing. Springer 2011, ISBN 978-0-85729-435-7 [contents] - 2010
- [e2]Susanne Boll, Steven C. H. Hoi, Jiebo Luo, Roelof van Zwol, Rong Jin, Irwin King, Yiannis Kompatsiaris, Dong Xu:
Proceedings of second ACM SIGMM workshop on Social media, WSM@MM 2010, Firenze, Italy, October 25, 2010. ACM 2010, ISBN 978-1-4503-0173-2 [contents] - 2009
- [e1]Susanne Boll, Steven C. H. Hoi, Jiebo Luo, Rong Jin, Irwin King, Dong Xu:
Proceedings of the first SIGMM workshop on Social media, WSM@MM 2009, Beijing, China, October 23, 2009. ACM 2009, ISBN 978-1-60558-759-2 [contents]
Reference Works
- 2018
- [r2]Guangxia Li, Zhen Hai, Peilin Zhao, Kuiyu Chang, Steven C. H. Hoi:
Twitter Microblog Sentiment Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2014
- [r1]Guangxia Li, Kuiyu Chang, Steven C. H. Hoi:
Twitter Microblog Sentiment Analysis. Encyclopedia of Social Network Analysis and Mining 2014: 2253-2259
Informal and Other Publications
- 2024
- [i126]Xingtong Yu, Yuan Fang, Zemin Liu, Yuxia Wu, Zhihao Wen, Jianyuan Bo, Xinming Zhang, Steven C. H. Hoi:
Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting. CoRR abs/2402.01440 (2024) - [i125]Quang Pham, Giang Do, Huy Nguyen, TrungTin Nguyen, Chenghao Liu, Mina Sartipi, Binh T. Nguyen, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi, Nhat Ho:
CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition. CoRR abs/2402.02526 (2024) - [i124]Anthony Meng Huat Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven C. H. Hoi, Caiming Xiong:
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. CoRR abs/2404.02415 (2024) - 2023
- [i123]Junnan Li, Dongxu Li, Silvio Savarese, Steven C. H. Hoi:
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. CoRR abs/2301.12597 (2023) - [i122]Qian Cheng, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
LogAI: A Library for Log Analytics and Intelligence. CoRR abs/2301.13415 (2023) - [i121]Qian Cheng, Doyen Sahoo, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Gerald Woo, Manpreet Singh, Silvio Savarese, Steven C. H. Hoi:
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges. CoRR abs/2304.04661 (2023) - [i120]Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, Steven C. H. Hoi:
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning. CoRR abs/2305.06500 (2023) - [i119]Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi:
CodeT5+: Open Code Large Language Models for Code Understanding and Generation. CoRR abs/2305.07922 (2023) - [i118]Dongxu Li, Junnan Li, Steven C. H. Hoi:
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing. CoRR abs/2305.14720 (2023) - [i117]Nghi D. Q. Bui, Hung Le, Yue Wang, Junnan Li, Akhilesh Deepak Gotmare, Steven C. H. Hoi:
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM. CoRR abs/2306.00029 (2023) - [i116]Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
OTW: Optimal Transport Warping for Time Series. CoRR abs/2306.00620 (2023) - [i115]Chenghao Liu, Wenzhuo Yang, Himanshu Mittal, Manpreet Singh, Doyen Sahoo, Steven C. H. Hoi:
PyRCA: A Library for Metric-based Root Cause Analysis. CoRR abs/2306.11417 (2023) - [i114]Weishi Wang, Yue Wang, Shafiq Joty, Steven C. H. Hoi:
RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair. CoRR abs/2309.06057 (2023) - [i113]Hailin Chen, Amrita Saha, Steven C. H. Hoi, Shafiq Joty:
Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation. CoRR abs/2310.18628 (2023) - [i112]Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi:
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. CoRR abs/2312.07035 (2023) - 2022
- [i111]Junnan Li, Dongxu Li, Caiming Xiong, Steven C. H. Hoi:
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. CoRR abs/2201.12086 (2022) - [i110]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting. CoRR abs/2202.01381 (2022) - [i109]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. CoRR abs/2202.01575 (2022) - [i108]Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Learning Fast and Slow for Online Time Series Forecasting. CoRR abs/2202.11672 (2022) - [i107]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning. CoRR abs/2203.16102 (2022) - [i106]Amrita Saha, Steven C. H. Hoi:
Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps. CoRR abs/2204.11598 (2022) - [i105]Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi:
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding. CoRR abs/2205.11024 (2022) - [i104]Wenzhuo Yang, Jia Li, Caiming Xiong, Steven C. H. Hoi:
MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation. CoRR abs/2205.15540 (2022) - [i103]Wenzhuo Yang, Hung Le, Silvio Savarese, Steven C. H. Hoi:
OmniXAI: A Library for Explainable AI. CoRR abs/2206.01612 (2022) - [i102]Junnan Li, Silvio Savarese, Steven C. H. Hoi:
Masked Unsupervised Self-training for Zero-shot Image Classification. CoRR abs/2206.02967 (2022) - [i101]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
Multimodal Dialogue State Tracking. CoRR abs/2206.07898 (2022) - [i100]Wenzhuo Yang, Kun Zhang, Steven C. H. Hoi:
Causality-Based Multivariate Time Series Anomaly Detection. CoRR abs/2206.15033 (2022) - [i99]Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven C. H. Hoi:
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning. CoRR abs/2207.01780 (2022) - [i98]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting. CoRR abs/2207.06046 (2022) - [i97]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
3D Cartoon Face Generation with Controllable Expressions from a Single GAN Image. CoRR abs/2207.14425 (2022) - [i96]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval. CoRR abs/2207.14428 (2022) - [i95]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
Continual Learning: Fast and Slow. CoRR abs/2209.02370 (2022) - [i94]Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi:
LAVIS: A Library for Language-Vision Intelligence. CoRR abs/2209.09019 (2022) - [i93]Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, Steven C. H. Hoi:
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. CoRR abs/2210.08773 (2022) - [i92]Guangsen Wang, Samson Tan, Shafiq R. Joty, Gang Wu, Jimmy Au, Steven C. H. Hoi:
BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems. CoRR abs/2211.11982 (2022) - [i91]Guangsen Wang, Shafiq R. Joty, Junnan Li, Steven C. H. Hoi:
BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems. CoRR abs/2211.15916 (2022) - [i90]Hailin Chen, Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi:
Learning Label Modular Prompts for Text Classification in the Wild. CoRR abs/2211.17142 (2022) - [i89]Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven C. H. Hoi:
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models. CoRR abs/2212.10846 (2022) - 2021
- [i88]Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu:
RegNet: Self-Regulated Network for Image Classification. CoRR abs/2101.00590 (2021) - [i87]Jialiang Zhang, Lixiang Lin, Jianke Zhu, Steven C. H. Hoi:
Weakly-Supervised Multi-Face 3D Reconstruction. CoRR abs/2101.02000 (2021) - [i86]Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi:
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning. CoRR abs/2101.11802 (2021) - [i85]Chuhui Xue, Shijian Lu, Steven C. H. Hoi:
Detection and Rectification of Arbitrary Shaped Scene Texts by using Text Keypoints and Links. CoRR abs/2103.00785 (2021) - [i84]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues. CoRR abs/2103.00820 (2021) - [i83]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks. CoRR abs/2104.07921 (2021) - [i82]Xiongwei Wu, Xin Fu, Ying Liu, Ee-Peng Lim, Steven C. H. Hoi, Qianru Sun:
A Large-Scale Benchmark for Food Image Segmentation. CoRR abs/2105.05409 (2021) - [i81]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
C3: Compositional Counterfactual Constrastive Learning for Video-grounded Dialogues. CoRR abs/2106.08914 (2021) - [i80]Pan Zhou, Caiming Xiong, Xiao-Tong Yuan, Steven C. H. Hoi:
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. CoRR abs/2106.14749 (2021) - [i79]Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Deepak Gotmare, Shafiq R. Joty, Caiming Xiong, Steven C. H. Hoi:
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation. CoRR abs/2107.07651 (2021) - [i78]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Cycle-Consistent Inverse GAN for Text-to-Image Synthesis. CoRR abs/2108.01361 (2021) - [i77]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Cross-Modal Graph with Meta Concepts for Video Captioning. CoRR abs/2108.06458 (2021) - [i76]Yue Wang, Weishi Wang, Shafiq R. Joty, Steven C. H. Hoi:
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation. CoRR abs/2109.00859 (2021) - [i75]Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang:
Merlion: A Machine Learning Library for Time Series. CoRR abs/2109.09265 (2021) - [i74]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
DualNet: Continual Learning, Fast and Slow. CoRR abs/2110.00175 (2021) - [i73]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Learning Structural Representations for Recipe Generation and Food Retrieval. CoRR abs/2110.01209 (2021) - [i72]Akhilesh Deepak Gotmare, Junnan Li, Shafiq R. Joty, Steven C. H. Hoi:
Cascaded Fast and Slow Models for Efficient Semantic Code Search. CoRR abs/2110.07811 (2021) - [i71]Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi:
Improving Tail-Class Representation with Centroid Contrastive Learning. CoRR abs/2110.10048 (2021) - [i70]Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi:
Node-wise Localization of Graph Neural Networks. CoRR abs/2110.14322 (2021) - [i69]Dongxu Li, Junnan Li, Hongdong Li, Juan Carlos Niebles, Steven C. H. Hoi:
Align and Prompt: Video-and-Language Pre-training with Entity Prompts. CoRR abs/2112.09583 (2021) - 2020
- [i68]Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi:
Deep Learning for Person Re-identification: A Survey and Outlook. CoRR abs/2001.04193 (2020) - [i67]Junnan Li, Richard Socher, Steven C. H. Hoi:
DivideMix: Learning with Noisy Labels as Semi-supervised Learning. CoRR abs/2002.07394 (2020) - [i66]Hung Le, Richard Socher, Steven C. H. Hoi:
Non-Autoregressive Dialog State Tracking. CoRR abs/2002.08024 (2020) - [i65]Xuan-Phi Nguyen, Shafiq R. Joty, Steven C. H. Hoi, Richard Socher:
Tree-structured Attention with Hierarchical Accumulation. CoRR abs/2002.08046 (2020) - [i64]Junnan Li, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Towards Noise-resistant Object Detection with Noisy Annotations. CoRR abs/2003.01285 (2020) - [i63]Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi:
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism. CoRR abs/2003.03955 (2020) - [i62]Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi:
Learning Video Object Segmentation from Unlabeled Videos. CoRR abs/2003.05020 (2020) - [i61]Chien-Sheng Wu, Steven C. H. Hoi, Richard Socher, Caiming Xiong:
ToD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogues. CoRR abs/2004.06871 (2020) - [i60]Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi:
VD-BERT: A Unified Vision and Dialog Transformer with BERT. CoRR abs/2004.13278 (2020) - [i59]Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi:
UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. CoRR abs/2004.14307 (2020) - [i58]Junnan Li, Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Prototypical Contrastive Learning of Unsupervised Representations. CoRR abs/2005.04966 (2020) - [i57]Keqi Wang, Peng Gao, Steven C. H. Hoi, Qian Guo, Yuhua Qian:
Extreme Low-Light Imaging with Multi-granulation Cooperative Networks. CoRR abs/2005.08001 (2020) - [i56]Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi:
EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. CoRR abs/2005.12484 (2020) - [i55]Hung Le, Steven C. H. Hoi:
Video-Grounded Dialogues with Pretrained Generation Language Models. CoRR abs/2006.15319 (2020) - [i54]Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Theory-Inspired Path-Regularized Differential Network Architecture Search. CoRR abs/2006.16537 (2020) - [i53]Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi:
Adaptive Task Sampling for Meta-Learning. CoRR abs/2007.08735 (2020) - [i52]Congbo Ma, Hu Wang, Steven C. H. Hoi:
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks. CoRR abs/2007.10859 (2020) - [i51]Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng:
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation. CoRR abs/2007.11978 (2020) - [i50]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Decomposed Generation Networks with Structure Prediction for Recipe Generation from Food Images. CoRR abs/2007.13374 (2020) - [i49]Jichuan Zeng, Xi Victoria Lin, Caiming Xiong, Richard Socher, Michael R. Lyu, Irwin King, Steven C. H. Hoi:
Photon: A Robust Cross-Domain Text-to-SQL System. CoRR abs/2007.15280 (2020) - [i48]Quang Pham, Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi:
Bilevel Continual Learning. CoRR abs/2007.15553 (2020) - [i47]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Structure-Aware Generation Network for Recipe Generation from Images. CoRR abs/2009.00944 (2020) - [i46]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
MoPro: Webly Supervised Learning with Momentum Prototypes. CoRR abs/2009.07995 (2020) - [i45]Jie Guo, Hao Yan, Chen Zhang, Steven C. H. Hoi:
Partially Observable Online Change Detection via Smooth-Sparse Decomposition. CoRR abs/2009.10645 (2020) - [i44]Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu:
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. CoRR abs/2010.01838 (2020) - [i43]Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven C. H. Hoi, Weinan E:
Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning. CoRR abs/2010.05627 (2020) - [i42]Weishi Wang, Shafiq R. Joty, Steven C. H. Hoi:
Response Selection for Multi-Party Conversations with Dynamic Topic Tracking. CoRR abs/2010.07785 (2020) - [i41]Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi:
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. CoRR abs/2010.10095 (2020) - [i40]Jianwen Yin, Chenghao Liu, Weiqing Wang, Jianling Sun, Steven C. H. Hoi:
Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling. CoRR abs/2010.11401 (2020) - [i39]Chien-Sheng Wu, Steven Chu-Hong Hoi, Caiming Xiong:
Improving Limited Labeled Dialogue State Tracking with Self-Supervision. CoRR abs/2010.13920 (2020) - [i38]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization. CoRR abs/2011.11183 (2020) - [i37]Genta Indra Winata, Guangsen Wang, Caiming Xiong, Steven C. H. Hoi:
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition. CoRR abs/2012.01687 (2020) - 2019
- [i36]Zhihao Wang, Jian Chen, Steven C. H. Hoi:
Deep Learning for Image Super-resolution: A Survey. CoRR abs/1902.06068 (2019) - [i35]Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi:
Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images. CoRR abs/1905.01273 (2019) - [i34]Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven C. H. Hoi:
Compositional Coding for Collaborative Filtering. CoRR abs/1905.03752 (2019) - [i33]Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi:
Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems. CoRR abs/1907.01166 (2019) - [i32]Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi:
Recent Advances in Deep Learning for Object Detection. CoRR abs/1908.03673 (2019) - [i31]Doyen Sahoo, Hao Wang, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi:
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. CoRR abs/1909.11946 (2019) - [i30]Jialiang Zhang, Lixiang Lin, Yun-chen Chen, Yao Hu, Steven C. H. Hoi, Jianke Zhu:
CSID: Center, Scale, Identity and Density-aware Pedestrian Detection in a Crowd. CoRR abs/1910.09188 (2019) - [i29]Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng:
Classification Calibration for Long-tail Instance Segmentation. CoRR abs/1910.13081 (2019) - [i28]Guangxia Li, Yulong Shen, Peilin Zhao, Xiao Lu, Jia Liu, Yangyang Liu, Steven C. H. Hoi:
Detecting Cyberattacks in Industrial Control Systems Using Online Learning Algorithms. CoRR abs/1912.03589 (2019) - 2018
- [i27]Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao:
Online Learning: A Comprehensive Survey. CoRR abs/1802.02871 (2018) - [i26]Hung Le, Quang Pham, Doyen Sahoo, Steven C. H. Hoi:
URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection. CoRR abs/1802.03162 (2018) - [i25]Xiongwei Wu, Daoxin Zhang, Jianke Zhu, Steven C. H. Hoi:
Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection. CoRR abs/1803.08208 (2018) - [i24]Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang:
Adaptive Cost-sensitive Online Classification. CoRR abs/1804.02246 (2018) - [i23]Peng Gao, Pan Lu, Hongsheng Li, Shuang Li, Yikang Li, Steven C. H. Hoi, Xiaogang Wang:
Question-Guided Hybrid Convolution for Visual Question Answering. CoRR abs/1808.02632 (2018) - [i22]Peng Gao, Hongsheng Li, Haoxuan You, Zhengkai Jiang, Pan Lu, Steven C. H. Hoi, Xiaogang Wang:
Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering. CoRR abs/1812.05252 (2018) - [i21]Zhao Kang, Haiqi Pan, Steven C. H. Hoi, Zenglin Xu:
Robust Graph Learning from Noisy Data. CoRR abs/1812.06673 (2018) - [i20]Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu:
DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification. CoRR abs/1812.11478 (2018) - 2017
- [i19]Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi:
Malicious URL Detection using Machine Learning: A Survey. CoRR abs/1701.07179 (2017) - [i18]Xudong Sun, Pengcheng Wu, Steven C. H. Hoi:
Face Detection using Deep Learning: An Improved Faster RCNN Approach. CoRR abs/1701.08289 (2017) - [i17]Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi:
Online Deep Learning: Learning Deep Neural Networks on the Fly. CoRR abs/1711.03705 (2017) - [i16]Jialiang Zhang, Xiongwei Wu, Jianke Zhu, Steven C. H. Hoi:
Feature Agglomeration Networks for Single Stage Face Detection. CoRR abs/1712.00721 (2017) - [i15]Yang Li, Jianke Zhu, Wenjie Song, Zhefeng Wang, Hantang Liu, Steven C. H. Hoi:
Robust Estimation of Similarity Transformation for Visual Object Tracking with Correlation Filters. CoRR abs/1712.05231 (2017) - 2016
- [i14]Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong:
Adaptive Subgradient Methods for Online AUC Maximization. CoRR abs/1602.00351 (2016) - [i13]Qingqun Ning, Jianke Zhu, Zhiyuan Zhong, Steven C. H. Hoi, Chun Chen:
Scalable Image Retrieval by Sparse Product Quantization. CoRR abs/1603.04614 (2016) - [i12]Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun:
Online Bayesian Collaborative Topic Regression. CoRR abs/1605.08872 (2016) - [i11]Yue Wu, Steven C. H. Hoi, Chenghao Liu, Jing Lu, Doyen Sahoo, Nenghai Yu:
SOL: A Library for Scalable Online Learning Algorithms. CoRR abs/1610.09083 (2016) - 2015
- [i10]Dayong Wang, Pengcheng Wu, Peilin Zhao, Steven C. H. Hoi:
A Framework of Sparse Online Learning and Its Applications. CoRR abs/1507.07146 (2015) - [i9]Ji Wan, Sheng Tang, Yongdong Zhang, Jintao Li, Pengcheng Wu, Steven C. H. Hoi:
HDIdx: High-Dimensional Indexing for Efficient Approximate Nearest Neighbor Search. CoRR abs/1510.01991 (2015) - [i8]Steven C. H. Hoi, Xiongwei Wu, Hantang Liu, Yue Wu, Huiqiong Wang, Hui Xue, Qiang Wu:
LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks. CoRR abs/1511.02462 (2015) - [i7]Jing Lu, Steven C. H. Hoi, Doyen Sahoo, Peilin Zhao:
Budget Online Multiple Kernel Learning. CoRR abs/1511.04813 (2015) - 2014
- [i6]Yue Wu, Steven C. H. Hoi, Tao Mei:
Massive-scale Online Feature Selection for Sparse Ultra-high Dimensional Data. CoRR abs/1409.7794 (2014) - 2013
- [i5]Peilin Zhao, Steven C. H. Hoi, Jinfeng Zhuang:
Active Learning with Expert Advice. CoRR abs/1309.6875 (2013) - 2012
- [i4]Jialei Wang, Peilin Zhao, Steven C. H. Hoi:
Exact Soft Confidence-Weighted Learning. CoRR abs/1206.4612 (2012) - [i3]Bin Li, Steven C. H. Hoi:
On-Line Portfolio Selection with Moving Average Reversion. CoRR abs/1206.4626 (2012) - [i2]Peilin Zhao, Jialei Wang, Pengcheng Wu, Rong Jin, Steven C. H. Hoi:
Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning. CoRR abs/1206.4633 (2012) - [i1]Bin Li, Steven C. H. Hoi:
On-Line Portfolio Selection: A Survey. CoRR abs/1212.2129 (2012)
Coauthor Index
Akhilesh Gotmare
aka: Akhilesh Deepak Gotmare
aka: Akhilesh Deepak Gotmare
Shafiq R. Joty
aka: Shafiq Joty
aka: Shafiq Joty
[j108] [j103] [j89] [j61] [j60] [c220] [c217] [c215] [c213] [c199] [c198] [c191] [c180] [c178] [c172] [c171] [c170] [c160] [c157] [c149] [c145] [c138] [c135] [c134] [c133] [c129] [c128] [c123] [c121] [i125] [i122] [i121] [i116] [i115] [i112] [i110] [i109] [i108] [i107] [i98] [i95] [i75] [i74] [i70] [i63] [i59] [i53] [i48] [i40] [i35] [i34] [i19] [i12] [i11]
[j103] [j89] [j88] [j84] [j82] [j81] [j71] [j66] [j61] [j56] [j50] [c217] [c215] [c213] [c198] [c180] [c179] [c160] [c158] [c157] [c148] [c142] [c138] [c137] [c131] [c122] [c119] [c99] [i122] [i121] [i116] [i115] [i110] [i109] [i108] [i98] [i75] [i63] [i59] [i53] [i48] [i41] [i35] [i33] [i32] [i31] [i27] [i26] [i19] [i17] [i11] [i7]
[j88] [j80] [j77] [j72] [j70] [j67] [j66] [j64] [j63] [j60] [j55] [j54] [j53] [j52] [j48] [j41] [j40] [j35] [j33] [j32] [j30] [j25] [j17] [c135] [c133] [c128] [c127] [c126] [c123] [c122] [c121] [c120] [c119] [c118] [c116] [c114] [c112] [c109] [c107] [c106] [c103] [c102] [c101] [c96] [c94] [c93] [c92] [c91] [c89] [c84] [c83] [c82] [c80] [c79] [c74] [c63] [c60] [c54] [c38] [r2] [i28] [i27] [i24] [i14] [i12] [i10] [i7] [i5] [i4] [i2]
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