Yeung, Dit-Yan

121 publications

CVPR 2025 Anyattack: Towards Large-Scale Self-Supervised Adversarial Attacks on Vision-Language Models Jiaming Zhang, Junhong Ye, Xingjun Ma, Yige Li, Yunfan Yang, Yunhao Chen, Jitao Sang, Dit-Yan Yeung

WACV 2025 Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases Kai Chen, Yanze Li, Wenhua Zhang, Yanxin Liu, Pengxiang Li, Ruiyuan Gao, Lanqing Hong, Meng Tian, Xinhai Zhao, Zhenguo Li, Dit-Yan Yeung, Huchuan Lu, Xu Jia

CVPR 2025 EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions Kai Chen, Yunhao Gou, Runhui Huang, Zhili Liu, Daxin Tan, Jing Xu, Chunwei Wang, Yi Zhu, Yihan Zeng, Kuo Yang, Dingdong Wang, Kun Xiang, Haoyuan Li, Haoli Bai, Jianhua Han, Xiaohui Li, Weike Jin, Nian Xie, Yu Zhang, James T. Kwok, Hengshuang Zhao, Xiaodan Liang, Dit-Yan Yeung, Xiao Chen, Zhenguo Li, Wei Zhang, Qun Liu, Lanqing Hong, Lu Hou, Hang Xu

ICLR 2025 Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage Ying-yee Ava Lau, Zhiwen Shao, Dit-Yan Yeung

AAAI 2025 G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4o Tony Cheng Tong, Sirui He, Zhiwen Shao, Dit-Yan Yeung

NeurIPS 2025 Learning 3D Persistent Embodied World Models Siyuan Zhou, Yilun Du, Yuncong Yang, Lei Han, Peihao Chen, Dit-Yan Yeung, Chuang Gan

TMLR 2025 STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting Shi Quan Foo, Chi-Ho Wong, Zhihan Gao, Dit-Yan Yeung, Ka-Hing Wong, Wai-Kin Wong

WACV 2025 TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models Pengxiang Li, Kai Chen, Zhili Liu, Ruiyuan Gao, Lanqing Hong, Dit-Yan Yeung, Huchuan Lu, Xu Jia

TMLR 2025 Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models Junjie Wu, Tsz Ting Chung, Kai Chen, Dit-Yan Yeung

CVPR 2024 DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang

ECCV 2024 Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James Kwok, Yu Zhang

NeurIPS 2024 Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting Chiu-Wai Yan, Shi Quan Foo, Van Hoan Trinh, Dit-Yan Yeung, Ka-Hing Wong, Wai-Kin Wong

ICLR 2024 Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang

CVPR 2024 Gaussian Shell Maps for Efficient 3D Human Generation Rameen Abdal, Wang Yifan, Zifan Shi, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-Yan Yeung, Gordon Wetzstein

ICLR 2024 GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung

TMLR 2024 IRWE: Inductive Random Walk for Joint Inference of Identity and Position Network Embedding Meng Qin, Dit-Yan Yeung

ECCV 2024 Implicit Concept Removal of Diffusion Models Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James Kwok

ECCV 2024 JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation ChenHan Jiang, Yihan Zeng, Tianyang Hu, Songcen Xu, Wei Zhang, Hang Xu, Dit-Yan Yeung

ECCV 2024 Learning High-Resolution Vector Representation from Multi-Camera Images for 3D Object Detection Zhili Chen, Shuangjie Xu, Maosheng Ye, Zian Qian, Xiaoyi Zou, Dit-Yan Yeung, Qifeng Chen

ICLR 2024 MagicDrive: Street View Generation with Diverse 3D Geometry Control Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu

ICML 2024 RoboDreamer: Learning Compositional World Models for Robot Imagination Siyuan Zhou, Yilun Du, Jiaben Chen, Yandong Li, Dit-Yan Yeung, Chuang Gan

NeurIPS 2023 Adaptive Online Replanning with Diffusion Models Siyuan Zhou, Yilun Du, Shun Zhang, Mengdi Xu, Yikang Shen, Wei Xiao, Dit-Yan Yeung, Chuang Gan

CVPR 2023 CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu

WACV 2023 Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker Jeongseok Hyun, Myunggu Kang, Dongyoon Wee, Dit-Yan Yeung

ICLR 2023 ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation Chiu Wai Yan, Tsz-Him Cheung, Dit-Yan Yeung

CVPR 2023 Learning 3D-Aware Image Synthesis with Unknown Pose Distribution Zifan Shi, Yujun Shen, Yinghao Xu, Sida Peng, Yiyi Liao, Sheng Guo, Qifeng Chen, Dit-Yan Yeung

CVPR 2023 Mixed Autoencoder for Self-Supervised Visual Representation Learning Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung

ICCV 2023 SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation Xuechao Chen, Shuangjie Xu, Xiaoyi Zou, Tongyi Cao, Dit-Yan Yeung, Lu Fang

ECCV 2022 3D-Aware Indoor Scene Synthesis with Depth Priors Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, Qifeng Chen

ICLR 2022 AdaAug: Learning Class- and Instance-Adaptive Data Augmentation Policies Tsz-Him Cheung, Dit-Yan Yeung

ECCV 2022 CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving 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

NeurIPS 2022 Earthformer: Exploring Space-Time Transformers for Earth System Forecasting Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung

NeurIPS 2022 Improving 3D-Aware Image Synthesis with a Geometry-Aware Discriminator Zifan Shi, Yinghao Xu, Yujun Shen, Deli Zhao, Qifeng Chen, Dit-Yan Yeung

ICLR 2021 MODALS: Modality-Agnostic Automated Data Augmentation in the Latent Space Tsz-Him Cheung, Dit-Yan Yeung

ICCV 2021 MultiSiam: Self-Supervised Multi-Instance Siamese Representation Learning for Autonomous Driving Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung

ICLR 2019 Marginalized Average Attentional Network for Weakly-Supervised Learning Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung

UAI 2018 GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung

IJCAI 2018 Learning Unmanned Aerial Vehicle Control for Autonomous Target Following Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen

NeurIPS 2017 Deep Learning for Precipitation Nowcasting: A Benchmark and a New Model Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, Wang-chun Woo

ICCV 2017 Lattice Long Short-Term Memory for Human Action Recognition Lin Sun, Kui Jia, Kevin Chen, Dit-Yan Yeung, Bertram E. Shi, Silvio Savarese

AAAI 2017 Relational Deep Learning: A Deep Latent Variable Model for Link Prediction Hao Wang, Xingjian Shi, Dit-Yan Yeung

AAAI 2017 Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen

ICCV 2017 Spatiotemporal Modeling for Crowd Counting in Videos Feng Xiong, Xingjian Shi, Dit-Yan Yeung

ICCV 2017 Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta

AAAI 2017 Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models Siyi Li, Dit-Yan Yeung

NeurIPS 2016 Collaborative Recurrent Autoencoder: Recommend While Learning to Fill in the Blanks Hao Wang, Xingjian Shi, Dit-Yan Yeung

NeurIPS 2016 Natural-Parameter Networks: A Class of Probabilistic Neural Networks Hao Wang, Xingjian Shi, Dit-Yan Yeung

ECCV 2016 The Visual Object Tracking VOT2016 Challenge Results 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

ECCVW 2016 The Visual Object Tracking VOT2016 Challenge Results 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

CVPR 2015 Bayesian Adaptive Matrix Factorization with Automatic Model Selection Peixian Chen, Naiyan Wang, Nevin L. Zhang, Dit-Yan Yeung

NeurIPS 2015 Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, Wang-chun Woo

CVPR 2015 DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting Chuang Gan, Naiyan Wang, Yi Yang, Dit-Yan Yeung, Alex G. Hauptmann

ICCV 2015 Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks Lin Sun, Kui Jia, Dit-Yan Yeung, Bertram E. Shi

AAAI 2015 Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs Fei Mi, Dit-Yan Yeung

AAAI 2015 Relational Stacked Denoising Autoencoder for Tag Recommendation Hao Wang, Xingjian Shi, Dit-Yan Yeung

ICCV 2015 Understanding and Diagnosing Visual Tracking Systems Naiyan Wang, Jianping Shi, Dit-Yan Yeung, Jiaya Jia

ICML 2014 Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data Naiyan Wang, Dit-Yan Yeung

ICCV 2013 Bayesian Robust Matrix Factorization for Image and Video Processing Naiyan Wang, Dit-Yan Yeung

IJCAI 2013 Learning High-Order Task Relationships in Multi-Task Learning Yu Zhang, Dit-Yan Yeung

NeurIPS 2013 Learning a Deep Compact Image Representation for Visual Tracking Naiyan Wang, Dit-Yan Yeung

ICCV 2013 Online Robust Non-Negative Dictionary Learning for Visual Tracking Naiyan Wang, Jingdong Wang, Dit-Yan Yeung

IJCAI 2013 SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering Jianping Shi, Naiyan Wang, Yang Xia, Dit-Yan Yeung, Irwin King, Jiaya Jia

ECCV 2012 A Probabilistic Approach to Robust Matrix Factorization Naiyan Wang, Tiansheng Yao, Jingdong Wang, Dit-Yan Yeung

NeurIPS 2012 Co-Regularized Hashing for Multimodal Data Yi Zhen, Dit-Yan Yeung

ECML-PKDD 2012 Multi-Task Boosting by Exploiting Task Relationships Yu Zhang, Dit-Yan Yeung

AAAI 2012 Sparse Probabilistic Relational Projection Wu-Jun Li, Dit-Yan Yeung

AAAI 2012 Supervised Probabilistic Robust Embedding with Sparse Noise Yu Zhang, Dit-Yan Yeung, Eric P. Xing

IJCAI 2011 A Convex Formulation of Modularity Maximization for Community Detection Emprise Y. K. Chan, Dit-Yan Yeung

ECML-PKDD 2011 Discriminative Experimental Design Yu Zhang, Dit-Yan Yeung

IJCAI 2011 Generalized Latent Factor Models for Social Network Analysis Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang

AAAI 2011 Multi-Task Learning in Heterogeneous Feature Spaces Yu Zhang, Dit-Yan Yeung

AAAI 2011 Social Relations Model for Collaborative Filtering Wu-Jun Li, Dit-Yan Yeung

UAI 2010 A Convex Formulation for Learning Task Relationships in Multi-Task Learning Yu Zhang, Dit-Yan Yeung

AAAI 2010 Adaptive Transfer Learning Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung, Qiang Yang

AAAI 2010 Gaussian Process Latent Random Field Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu

UAI 2010 Multi-Domain Collaborative Filtering Yu Zhang, Bin Cao, Dit-Yan Yeung

CVPR 2010 Multi-Task Warped Gaussian Process for Personalized Age Estimation Yu Zhang, Dit-Yan Yeung

NeurIPS 2010 Probabilistic Multi-Task Feature Selection Yu Zhang, Dit-Yan Yeung, Qian Xu

AAAI 2010 Transductive Learning on Adaptive Graphs Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou

NeurIPS 2010 Worst-Case Linear Discriminant Analysis Yu Zhang, Dit-Yan Yeung

AISTATS 2009 Coherence Functions for Multicategory Margin-Based Classification Methods Zhihua Zhang, Michael Jordan, Wu-Jun Li, Dit-Yan Yeung

ECML-PKDD 2009 Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-Supervised Extension Yu Zhang, Dit-Yan Yeung

AISTATS 2009 Latent Wishart Processes for Relational Kernel Learning Wu-Jun Li, Zhihua Zhang, Dit-Yan Yeung

CVPR 2009 Localized Content-Based Image Retrieval Through Evidence Region Identification Wu-Jun Li, Dit-Yan Yeung

NeurIPS 2009 Probabilistic Relational PCA Wu-jun Li, Dit-Yan Yeung, Zhihua Zhang

IJCAI 2009 Relation Regularized Matrix Factorization Wu-Jun Li, Dit-Yan Yeung

ECML-PKDD 2009 Semi-Supervised Multi-Task Regression Yu Zhang, Dit-Yan Yeung

CVPR 2008 Human Action Recognition Using Local Spatio-Temporal Discriminant Embedding Kui Jia, Dit-Yan Yeung

ECCV 2008 Learning Two-View Stereo Matching Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Quan

NeurIPS 2008 Posterior Consistency of the Silverman G-Prior in Bayesian Model Choice Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung

CVPR 2008 Semi-Supervised Discriminant Analysis Using Robust Path-Based Similarity Yu Zhang, Dit-Yan Yeung

ECML-PKDD 2008 Semi-Supervised Discriminant Analysis via CCCP Yu Zhang, Dit-Yan Yeung

ECCV 2008 Structuring Visual Words in 3D for Arbitrary-View Object Localization Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Quan

ICML 2007 A Kernel Path Algorithm for Support Vector Machines Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky

IJCAI 2007 A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning Dit-Yan Yeung, Hong Chang, Guang Dai

IJCAI 2007 Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data Guang Dai, Dit-Yan Yeung

CVPR 2007 Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds Wei Fan, Dit-Yan Yeung

ICML 2007 Kernel Selection Forl Semi-Supervised Kernel Machines Guang Dai, Dit-Yan Yeung

ICCV 2007 Locally Smooth Metric Learning with Application to Image Retrieval Dit-Yan Yeung, Hong Chang

MLJ 2007 Surrogate Maximization/minimization Algorithms and Extensions Zhihua Zhang, James T. Kwok, Dit-Yan Yeung

AISTATS 2007 The Kernel Path in Kernelized LASSO Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky

AAAI 2006 A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung

ECCV 2006 Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion Guang Dai, Dit-Yan Yeung, Hong Chang

CVPR 2006 Graph Laplacian Kernels for Object Classification from a Single Example Hong Chang, Dit-Yan Yeung

CVPR 2006 Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification Wei Fan, Dit-Yan Yeung

MLJ 2006 Model-Based Transductive Learning of the Kernel Matrix Zhihua Zhang, James T. Kwok, Dit-Yan Yeung

AAAI 2006 Tensor Embedding Methods Guang Dai, Dit-Yan Yeung

ICML 2006 Two-Dimensional Solution Path for Support Vector Regression Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky

ICCV 2005 Robust Path-Based Spectral Clustering with Application to Image Segmentation Hong Chang, Dit-Yan Yeung

ICML 2004 Bayesian Inference for Transductive Learning of Kernel Matrix Using the Tanner-Wong Data Augmentation Algorithm Zhihua Zhang, Dit-Yan Yeung, James T. Kwok

AAAI 2004 Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan Yeung

ICML 2004 Locally Linear Metric Adaptation for Semi-Supervised Clustering Hong Chang, Dit-Yan Yeung

CVPR 2004 Super-Resolution Through Neighbor Embedding Hong Chang, Dit-Yan Yeung, Yimin Xiong

ICML 2004 Surrogate Maximization/minimization Algorithms for AdaBoost and the Logistic Regression Model Zhihua Zhang, James T. Kwok, Dit-Yan Yeung

IJCAI 2003 Parametric Distance Metric Learning with Label Information Zhihua Zhang, James T. Kwok, Dit-Yan Yeung

AISTATS 2001 Solving Hidden-Mode Markov Decision Problems Samuel Ping-Man Choi, Nevin Lianwen Zhang, Dit-Yan Yeung

ICCV 1999 A Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin

NeurIPS 1999 An Environment Model for Nonstationary Reinforcement Learning Samuel P. M. Choi, Dit-Yan Yeung, Nevin Lianwen Zhang

CVPR 1996 Competitive Mixture of Deformable Models for Pattern Classification Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin

NeurIPS 1995 Predictive Q-Routing: A Memory-Based Reinforcement Learning Approach to Adaptive Traffic Control Samuel P. M. Choi, Dit-Yan Yeung

ICML 1991 A Neural Network Approach to Constructive Induction Dit-Yan Yeung