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ORCIDSteven C. H. Hoi
Steven Chu-Hong Hoi
Person information
- affiliation: Singapore Management University, School of Information Systems
- affiliation: Nanyang Technological University, School of Computer Engineering
- affiliation: Chinese University of Hong Kong, Department of Computer Science and Engineering
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2020 – today
- 2022
[j96]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)- [j95]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) - [j94]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Decomposing generation networks with structure prediction for recipe generation. Pattern Recognit. 126: 108578 (2022) - [j93]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) - [j92]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) - [j91]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) - [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) - [i94]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) - [i93]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) - [i92]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) - [i91]Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Learning Fast and Slow for Online Time Series Forecasting. CoRR abs/2202.11672 (2022) - [i90]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning. CoRR abs/2203.16102 (2022) - [i89]Amrita Saha, Steven C. H. Hoi:
Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps. CoRR abs/2204.11598 (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) - [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 - [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
- [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) - [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 - [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]