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ORCIDDit-Yan Yeung
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- affiliation: Hong Kong University of Science and Technology
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2020 – today
- 2023
[j47]Meng Qin
, Chaorui Zhang, Bo Bai, Gong Zhang, Dit-Yan Yeung:
High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation. IEEE Trans. Knowl. Data Eng. 35(9): 9378-9393 (2023)- [c146]Yusen Sun, Liangyou Li, Qun Liu, Dit-Yan Yeung:
SongRewriter: A Chinese Song Rewriting System with Controllable Content and Rhyme Scheme. ACL (Findings) 2023: 12863-12880 - [c145]Xinran Zhao, Esin Durmus, Dit-Yan Yeung:
Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture. ACL (Findings) 2023: 13250-13264 - [c144]Zifan Shi, Yujun Shen, Yinghao Xu, Sida Peng, Yiyi Liao, Sheng Guo, Qifeng Chen, Dit-Yan Yeung:
Learning 3D-Aware Image Synthesis with Unknown Pose Distribution. CVPR 2023: 13062-13071 - [c143]Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu:
CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data. CVPR 2023: 15244-15253 - [c142]Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
Mixed Autoencoder for Self-Supervised Visual Representation Learning. CVPR 2023: 22742-22751 - [c141]Chiu Wai Yan, Tsz-Him Cheung, Dit-Yan Yeung:
ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation. ICLR 2023 - [c140]Jeongseok Hyun, Myunggu Kang, Dongyoon Wee, Dit-Yan Yeung:
Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker. WACV 2023: 4839-4848 - [i51]Zifan Shi, Yujun Shen, Yinghao Xu, Sida Peng, Yiyi Liao, Sheng Guo, Qifeng Chen, Dit-Yan Yeung:
Learning 3D-aware Image Synthesis with Unknown Pose Distribution. CoRR abs/2301.07702 (2023) - [i50]Chung Yan Fong, Dit-Yan Yeung:
Deep COVID-19 Forecasting for Multiple States with Data Augmentation. CoRR abs/2302.01155 (2023) - [i49]Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu:
CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data. CoRR abs/2303.12417 (2023) - [i48]Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
Mixed Autoencoder for Self-supervised Visual Representation Learning. CoRR abs/2303.17152 (2023) - [i47]Kai Chen, Enze Xie, Zhe Chen, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung:
Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt. CoRR abs/2306.04607 (2023) - [i46]Junjie Wu, Dit-Yan Yeung:
SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification. CoRR abs/2307.01488 (2023) - [i45]Xuechao Chen, Shuangjie Xu, Xiaoyi Zou, Tongyi Cao, Dit-Yan Yeung, Lu Fang:
SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation. CoRR abs/2308.13323 (2023) - 2022
- [c139]Xianghong Fang, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Dit-Yan Yeung:
Controlled Text Generation Using Dictionary Prior in Variational Autoencoders. ACL (Findings) 2022: 97-111 - [c138]Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu:
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. ECCV (38) 2022: 406-423 - [c137]Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, Qifeng Chen:
3D-Aware Indoor Scene Synthesis with Depth Priors. ECCV (16) 2022: 406-422 - [c136]Tsz-Him Cheung, Dit-Yan Yeung:
AdaAug: Learning Class- and Instance-adaptive Data Augmentation Policies. ICLR 2022 - [c135]Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung:
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting. NeurIPS 2022 - [c134]Zifan Shi, Yinghao Xu, Yujun Shen, Deli Zhao, Qifeng Chen, Dit-Yan Yeung:
Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator. NeurIPS 2022 - [i44]Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, Qifeng Chen:
3D-Aware Indoor Scene Synthesis with Depth Priors. CoRR abs/2202.08553 (2022) - [i43]Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu:
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. CoRR abs/2203.07724 (2022) - [i42]Jeongseok Hyun, Myunggu Kang, Dongyoon Wee, Dit-Yan Yeung:
Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker. CoRR abs/2205.00968 (2022) - [i41]Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung:
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting. CoRR abs/2207.05833 (2022) - [i40]Meng Qin, Chaorui Zhang, Bo Bai, Gong Zhang, Dit-Yan Yeung:
Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs. CoRR abs/2209.14825 (2022) - [i39]Zifan Shi, Yinghao Xu, Yujun Shen, Deli Zhao, Qifeng Chen, Dit-Yan Yeung:
Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator. CoRR abs/2209.15637 (2022) - [i38]Meng Qin, Dit-Yan Yeung:
Temporal Link Prediction: A Unified Framework, Taxonomy, and Review. CoRR abs/2210.08765 (2022) - [i37]Yusen Sun, Liangyou Li, Qun Liu, Dit-Yan Yeung:
SongRewriter: A Chinese Song Rewriting System with Controllable Content and Rhyme Scheme. CoRR abs/2211.15037 (2022) - 2021
- [j46]Hao Wang, Dit-Yan Yeung:
A Survey on Bayesian Deep Learning. ACM Comput. Surv. 53(5): 108:1-108:37 (2021) - [c133]Nedjma Ousidhoum, Xinran Zhao, Tianqing Fang, Yangqiu Song, Dit-Yan Yeung:
Probing Toxic Content in Large Pre-Trained Language Models. ACL/IJCNLP (1) 2021: 4262-4274 - [c132]Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. ICCV 2021: 7526-7534 - [c131]Tsz-Him Cheung, Dit-Yan Yeung:
MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space. ICLR 2021 - [c130]Zifan Shi, Na Fan, Dit-Yan Yeung, Qifeng Chen:
Stereo Waterdrop Removal with Row-wise Dilated Attention. IROS 2021: 3829-3836 - [c129]Wai-Lun Chan, Dit-Yan Yeung:
Clickstream Knowledge Tracing: Modeling How Students Answer Interactive Online Questions. LAK 2021: 99-109 - [i36]Zifan Shi, Na Fan, Dit-Yan Yeung, Qifeng Chen:
Stereo Waterdrop Removal with Row-wise Dilated Attention. CoRR abs/2108.03457 (2021) - [i35]Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. CoRR abs/2108.12178 (2021) - 2020
- [c128]Nedjma Ousidhoum, Yangqiu Song, Dit-Yan Yeung:
Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets. EMNLP (1) 2020: 2532-2542
2010 – 2019
- 2019
- [j45]Chun-Kit Yeung, Dit-Yan Yeung:
Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction. Int. J. Artif. Intell. Educ. 29(3): 317-341 (2019) - [c127]Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung:
Multilingual and Multi-Aspect Hate Speech Analysis. EMNLP/IJCNLP (1) 2019: 4674-4683 - [c126]Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung:
Marginalized Average Attentional Network for Weakly-Supervised Learning. ICLR (Poster) 2019 - [c125]Ting Sun, Dezhen Song, Dit-Yan Yeung, Ming Liu:
Semi-semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments. ICVS 2019: 63-74 - [c124]Mucong Ding, Kai Yang, Dit-Yan Yeung, Ting-Chuen Pong:
Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses. LAK 2019: 135-144 - [c123]Jinseok Lee, Dit-Yan Yeung:
Knowledge Query Network for Knowledge Tracing: How Knowledge Interacts with Skills. LAK 2019: 491-500 - [i34]Ting Sun, Lei Tai, Zhihan Gao, Ming Liu, Dit-Yan Yeung:
Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues. CoRR abs/1904.01749 (2019) - [i33]Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung:
Marginalized Average Attentional Network for Weakly-Supervised Learning. CoRR abs/1905.08586 (2019) - [i32]Ting Sun, Yuxiang Sun, Ming Liu, Dit-Yan Yeung:
Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation. CoRR abs/1906.03629 (2019) - [i31]Jinseok Lee, Dit-Yan Yeung:
Knowledge Query Network: How Knowledge Interacts with Skills. CoRR abs/1908.02146 (2019) - [i30]Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung:
Multilingual and Multi-Aspect Hate Speech Analysis. CoRR abs/1908.11049 (2019) - 2018
- [c122]Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen:
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following. IJCAI 2018: 4936-4942 - [c121]Siyi Li, Jiaji Zhou, Zhenzhong Jia, Dit-Yan Yeung, Matthew T. Mason:
Learning Accurate Objectness Instance Segmentation from Photorealistic Rendering for Robotic Manipulation. ISER 2018: 245-255 - [c120]Chun-Kit Yeung, Dit-Yan Yeung:
Addressing two problems in deep knowledge tracing via prediction-consistent regularization. L@S 2018: 5:1-5:10 - [c119]Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung:
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. UAI 2018: 339-349 - [i29]Ting Sun, Shengyi Nie, Dit-Yan Yeung, Shaojie Shen:
Gesture-based Piloting of an Aerial Robot using Monocular Vision. CoRR abs/1803.00757 (2018) - [i28]Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung:
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. CoRR abs/1803.07294 (2018) - [i27]Chun-Kit Yeung, Dit-Yan Yeung:
Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization. CoRR abs/1806.02180 (2018) - [i26]Chun-Kit Yeung, Zizheng Lin, Kai Yang, Dit-Yan Yeung:
Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction. CoRR abs/1806.03256 (2018) - [i25]Xingjian Shi, Dit-Yan Yeung:
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey. CoRR abs/1808.06865 (2018) - [i24]Ting Sun, Ming Liu, Haoyang Ye, Dit-Yan Yeung:
Point-cloud-based place recognition using CNN feature extraction. CoRR abs/1810.09631 (2018) - [i23]Ting Sun, Dezhen Song, Dit-Yan Yeung, Ming Liu:
Semi-Semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments. CoRR abs/1811.01592 (2018) - [i22]Mucong Ding, Kai Yang, Dit-Yan Yeung, Ting-Chuen Pong:
Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses. CoRR abs/1812.05044 (2018) - [i21]Lin Sun, Kui Jia, Yuejia Shen, Silvio Savarese, Dit-Yan Yeung, Bertram E. Shi:
Coupled Recurrent Network (CRN). CoRR abs/1812.10071 (2018) - 2017
- [j44]Ting Sun, Lin Sun, Dit-Yan Yeung:
Fine-grained categorization via CNN-based automatic extraction and integration of object-level and part-level features. Image Vis. Comput. 64: 47-66 (2017) - [c118]Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen:
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. AAAI 2017: 1805-1811 - [c117]Hao Wang, Xingjian Shi, Dit-Yan Yeung:
Relational Deep Learning: A Deep Latent Variable Model for Link Prediction. AAAI 2017: 2688-2694 - [c116]Siyi Li, Dit-Yan Yeung:
Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models. AAAI 2017: 4140-4146 - [c115]Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta:
Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection. ICCV 2017: 1819-1828 - [c114]Lin Sun, Kui Jia, Kevin Chen, Dit-Yan Yeung, Bertram E. Shi, Silvio Savarese:
Lattice Long Short-Term Memory for Human Action Recognition. ICCV 2017: 2166-2175 - [c113]Feng Xiong, Xingjian Shi, Dit-Yan Yeung:
Spatiotemporal Modeling for Crowd Counting in Videos. ICCV 2017: 5161-5169 - [c112]Ting Sun, Shengyi Nie, Dit-Yan Yeung, Shaojie Shen:
Gesture-based piloting of an aerial robot using monocular vision. ICRA 2017: 5913-5920 - [c111]Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo:
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model. NIPS 2017: 5617-5627 - [c110]Dit-Yan Yeung:
Keynote: Bayesian Deep Learning Models for Recommendation Applications. DLRS@RecSys 2017: 1 - [c109]Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung:
Dynamic Key-Value Memory Networks for Knowledge Tracing. WWW 2017: 765-774 - [i20]Hao Wang, Xiaodan Liang, Hao Zhang, Dit-Yan Yeung, Eric P. Xing:
ZM-Net: Real-time Zero-shot Image Manipulation Network. CoRR abs/1703.07255 (2017) - [i19]Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo:
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model. CoRR abs/1706.03458 (2017) - [i18]Ting Sun, Lin Sun, Dit-Yan Yeung:
Fine-Grained Categorization via CNN-Based Automatic Extraction and Integration of Object-Level and Part-Level Features. CoRR abs/1706.07397 (2017) - [i17]Feng Xiong, Xingjian Shi, Dit-Yan Yeung:
Spatiotemporal Modeling for Crowd Counting in Videos. CoRR abs/1707.07890 (2017) - [i16]Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta:
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection. CoRR abs/1708.00666 (2017) - [i15]Lin Sun, Kui Jia, Kevin Chen, Dit-Yan Yeung, Bertram E. Shi, Silvio Savarese:
Lattice Long Short-Term Memory for Human Action Recognition. CoRR abs/1708.03958 (2017) - [i14]Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen:
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following. CoRR abs/1709.08233 (2017) - 2016
- [j43]Yi Zhen, Yue Gao, Dit-Yan Yeung, Hongyuan Zha, Xuelong Li:
Spectral Multimodal Hashing and Its Application to Multimedia Retrieval. IEEE Trans. Cybern. 46(1): 27-38 (2016) - [j42]Hao Wang, Dit-Yan Yeung:
Towards Bayesian Deep Learning: A Framework and Some Existing Methods. IEEE Trans. Knowl. Data Eng. 28(12): 3395-3408 (2016) - [c108]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi:
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 2016: 777-823 - [c107]Hao Wang, Xingjian Shi, Dit-Yan Yeung:
Natural-Parameter Networks: A Class of Probabilistic Neural Networks. NIPS 2016: 118-126 - [c106]Hao Wang, Xingjian Shi, Dit-Yan Yeung:
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks. NIPS 2016: 415-423 - [i13]Hao Wang, Dit-Yan Yeung:
Towards Bayesian Deep Learning: A Survey. CoRR abs/1604.01662 (2016) - [i12]Hao Wang, Dit-Yan Yeung:
Towards Bayesian Deep Learning: A Framework and Some Existing Methods. CoRR abs/1608.06884 (2016) - [i11]Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen:
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. CoRR abs/1609.05294 (2016) - [i10]Hao Wang, Xingjian Shi, Dit-Yan Yeung:
Natural-Parameter Networks: A Class of Probabilistic Neural Networks. CoRR abs/1611.00448 (2016) - [i9]Hao Wang, Xingjian Shi, Dit-Yan Yeung:
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks. CoRR abs/1611.00454 (2016) - [i8]Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung:
Dynamic Key-Value Memory Network for Knowledge Tracing. CoRR abs/1611.08108 (2016) - 2015
- [j41]Deming Zhai, Yu Zhang, Dit-Yan Yeung, Hong Chang, Xilin Chen, Wen Gao:
Instance-specific canonical correlation analysis. Neurocomputing 155: 205-218 (2015) - [c105]Fei Mi, Dit-Yan Yeung:
Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs. AAAI 2015: 454-460 - [c104]Hao Wang, Xingjian Shi, Dit-Yan Yeung:
Relational Stacked Denoising Autoencoder for Tag Recommendation. AAAI 2015: 3052-3058 - [c103]Peixian Chen, Naiyan Wang, Nevin L. Zhang, Dit-Yan Yeung:
Bayesian adaptive matrix factorization with automatic model selection. CVPR 2015: 1284-1292 - [c102]Chuang Gan, Naiyan Wang, Yi Yang, Dit-Yan Yeung, Alexander G. Hauptmann:
DevNet: A Deep Event Network for multimedia event detection and evidence recounting. CVPR 2015: 2568-2577 - [c101]Naiyan Wang, Jianping Shi, Dit-Yan Yeung, Jiaya Jia:
Understanding and Diagnosing Visual Tracking Systems. ICCV 2015: 3101-3109 - [c100]Lin Sun, Kui Jia, Dit-Yan Yeung, Bertram E. Shi:
Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks. ICCV 2015: 4597-4605 - [c99]Mi Fei, Dit-Yan Yeung:
Temporal Models for Predicting Student Dropout in Massive Open Online Courses. ICDM Workshops 2015: 256-263 - [c98]Hao Wang, Naiyan Wang, Dit-Yan Yeung:
Collaborative Deep Learning for Recommender Systems. KDD 2015: 1235-1244 - [c97]Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo:
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting. NIPS 2015: 802-810 - [i7]Naiyan Wang, Siyi Li, Abhinav Gupta, Dit-Yan Yeung:
Transferring Rich Feature Hierarchies for Robust Visual Tracking. CoRR abs/1501.04587 (2015) - [i6]Naiyan Wang, Jianping Shi, Dit-Yan Yeung, Jiaya Jia:
Understanding and Diagnosing Visual Tracking Systems. CoRR abs/1504.06055 (2015) - [i5]Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo:
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting. CoRR abs/1506.04214 (2015) - [i4]Lin Sun, Kui Jia, Dit-Yan Yeung, Bertram E. Shi:
Human Action Recognition using Factorized Spatio-Temporal Convolutional Networks. CoRR abs/1510.00562 (2015) - 2014
- [j40]Zhihua Zhang, Cheng Chen, Guang Dai, Wu-Jun Li, Dit-Yan Yeung:
Multicategory large margin classification methods: Hinge losses vs. coherence functions. Artif. Intell. 215: 55-78 (2014) - [c96]Naiyan Wang, Dit-Yan Yeung:
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data. ICML 2014: 1107-1115 - [i3]Hao Wang, Naiyan Wang, Dit-Yan Yeung:
Collaborative Deep Learning for Recommender Systems. CoRR abs/1409.2944 (2014) - 2013
- [j39]Yi Zhen, Dit-Yan Yeung:
Active hashing and its application to image and text retrieval. Data Min. Knowl. Discov. 26(2): 255-274 (2013) - [j38]Yu Zhang, Dit-Yan Yeung:
Multilabel relationship learning. ACM Trans. Knowl. Discov. Data 7(2): 7:1-7:30 (2013) - [j37]Yu Zhang, Dit-Yan Yeung:
A Regularization Approach to Learning Task Relationships in Multitask Learning. ACM Trans. Knowl. Discov. Data 8(3): 12:1-12:31 (2013) - [c95]Naiyan Wang, Jingdong Wang, Dit-Yan Yeung:
Online Robust Non-negative Dictionary Learning for Visual Tracking. ICCV 2013: 657-664 - [c94]Naiyan Wang, Dit-Yan Yeung:
Bayesian Robust Matrix Factorization for Image and Video Processing. ICCV 2013: 1785-1792 - [c93]Yu Zhang, Dit-Yan Yeung:
Learning High-Order Task Relationships in Multi-Task Learning. IJCAI 2013: 1917-1923 - [c92]Jianping Shi, Naiyan Wang, Yang Xia, Dit-Yan Yeung, Irwin King, Jiaya Jia:
SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering. IJCAI 2013: 2705-2711 - [c91]