| 2026 | AAAI | CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models Feedback. | Chenhan Jiang, Yihan Zeng, Dit-Yan Yeung |
| 2026 | ACL | Situated Embedding Models for Context-Aware Dense Retrieval. | Junjie Wu, Jiangnan Li, Yuqing Li, Lemao Liu, Liyan Xu, Jiwei Li, Dit-Yan Yeung, Jie Zhou, Mo Yu |
| 2025 | AAAI | G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4o. | Tony Cheng Tong, Sirui He, Zhiwen Shao, Dit-Yan Yeung |
| 2025 | ACL | Ref-Long: Benchmarking the Long-context Referencing Capability of Long-context Language Models. | Junjie Wu, Gefei Gu, Yanan Zheng, Dit-Yan Yeung, Arman Cohan |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models. | Tsz Ting Chung, Lemao Liu, Mo Yu, Dit-Yan Yeung |
| 2025 | ICLR | Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage. | Ying-yee Ava Lau, Zhiwen Shao, Dit-Yan Yeung |
| 2025 | NAACL | Understanding LLMs' Fluid Intelligence Deficiency: An Analysis of the ARC Task. | Junjie Wu, Mo Yu, Lemao Liu, Dit-Yan Yeung, Jie Zhou |
| 2025 | NAACL | The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding. | Mo Yu, Lemao Liu, Junjie Wu, Tsz Ting Chung, Shunchi Zhang, Jiangnan Li, Dit-Yan Yeung, Jie Zhou |
| 2025 | WACV | 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 |
| 2025 | WACV | 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 |
| 2024 | CVPR | Gaussian Shell Maps for Efficient 3D Human Generation. | Rameen Abdal, Yifan Wang, Zifan Shi, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-Yan Yeung, Gordon Wetzstein |
| 2024 | CVPR | 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 |
| 2024 | ECCV | 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 |
| 2024 | ECCV | 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 T. Kwok, Yu Zhang |
| 2024 | ECCV | JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation. | Chenhan Jiang, Yihan Zeng, Tianyang Hu, Songcun Xu, Wei Zhang, Hang Xu, Dit-Yan Yeung |
| 2024 | ECCV | Implicit Concept Removal of Diffusion Models. | Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok |
| 2024 | EMNLP | Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability. | Tsz Ting Chung, Leyang Cui, Lemao Liu, Xinting Huang, Shuming Shi, Dit-Yan Yeung |
| 2024 | ICASSP | Rethinking Targeted Adversarial Attacks for Neural Machine Translation. | Junjie Wu, Lemao Liu, Wei Bi, Dit-Yan Yeung |
| 2024 | ICLR | MagicDrive: Street View Generation with Diverse 3D Geometry Control. | Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu |
| 2024 | ICLR | 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, Xin Jiang, Qun Liu |
| 2024 | ICLR | 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 |
| 2024 | ICML | RoboDreamer: Learning Compositional World Models for Robot Imagination. | Siyuan Zhou, Yilun Du, Jiaben Chen, Yandong Li, Dit-Yan Yeung, Chuang Gan |
| 2024 | KDD | Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation. | Meng Qin, Chaorui Zhang, Yu Gao, Weixi Zhang, Dit-Yan Yeung |
| 2023 | ACL | SongRewriter: A Chinese Song Rewriting System with Controllable Content and Rhyme Scheme. | Yusen Sun, Liangyou Li, Qun Liu, Dit-Yan Yeung |
| 2023 | ACL | Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture. | Xinran Zhao, Esin Durmus, Dit-Yan Yeung |
| 2023 | CVPR | Mixed Autoencoder for Self-Supervised Visual Representation Learning. | Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung |
| 2023 | CVPR | 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 |
| 2023 | CVPR | CLIP | Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu |
| 2023 | EMNLP | Towards General Error Diagnosis via Behavioral Testing in Machine Translation. | Junjie Wu, Lemao Liu, Dit-Yan Yeung |
| 2023 | ICCV | 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 |
| 2023 | ICLR | ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation. | Chiu Wai Yan, Tsz-Him Cheung, Dit-Yan Yeung |
| 2023 | WACV | Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker. | Jeongseok Hyun, Myunggu Kang, Dongyoon Wee, Dit-Yan Yeung |
| 2022 | ACL | Controlled Text Generation Using Dictionary Prior in Variational Autoencoders. | Xianghong Fang, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Dit-Yan Yeung |
| 2022 | ECCV | 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 |
| 2022 | ECCV | 3D-Aware Indoor Scene Synthesis with Depth Priors. | Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, Qifeng Chen |
| 2022 | ICLR | AdaAug: Learning Class- and Instance-adaptive Data Augmentation Policies. | Tsz-Him Cheung, Dit-Yan Yeung |
| 2021 | ACL | Probing Toxic Content in Large Pre-Trained Language Models. | Nedjma Ousidhoum, Xinran Zhao, Tianqing Fang, Yangqiu Song, Dit-Yan Yeung |
| 2021 | ICCV | MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. | Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung |
| 2021 | ICLR | MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space. | Tsz-Him Cheung, Dit-Yan Yeung |
| 2021 | IROS | Stereo Waterdrop Removal with Row-wise Dilated Attention. | Zifan Shi, Na Fan, Dit-Yan Yeung, Qifeng Chen |
| 2021 | LAK | Clickstream Knowledge Tracing: Modeling How Students Answer Interactive Online Questions. | Wai-Lun Chan, Dit-Yan Yeung |
| 2020 | EMNLP | Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets. | Nedjma Ousidhoum, Yangqiu Song, Dit-Yan Yeung |
| 2019 | EMNLP | Multilingual and Multi-Aspect Hate Speech Analysis. | Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung |
| 2019 | ICLR | Marginalized Average Attentional Network for Weakly-Supervised Learning. | Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung |
| 2019 | ICVS | Semi-semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments. | Ting Sun, Dezhen Song, Dit-Yan Yeung, Ming Liu |
| 2019 | LAK | Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses. | Mucong Ding, Kai Yang, Dit-Yan Yeung, Ting-Chuen Pong |
| 2019 | LAK | Knowledge Query Network for Knowledge Tracing: How Knowledge Interacts with Skills. | Jinseok Lee, Dit-Yan Yeung |
| 2018 | IJCAI | Learning Unmanned Aerial Vehicle Control for Autonomous Target Following. | Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen |
| 2018 | UAI | GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. | Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung |
| 2017 | AAAI | Relational Deep Learning: A Deep Latent Variable Model for Link Prediction. | Hao Wang, Xingjian Shi, Dit-Yan Yeung |
| 2017 | AAAI | Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. | Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen |
| 2017 | AAAI | Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models. | Siyi Li, Dit-Yan Yeung |
| 2017 | ICCV | Lattice Long Short-Term Memory for Human Action Recognition. | Lin Sun, Kui Jia, Kevin Chen, Dit-Yan Yeung, Bertram E. Shi, Silvio Savarese |
| 2017 | ICCV | Spatiotemporal Modeling for Crowd Counting in Videos. | Feng Xiong, Xingjian Shi, Dit-Yan Yeung |
| 2017 | ICCV | Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection. | Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta |
| 2017 | ICRA | Gesture-based piloting of an aerial robot using monocular vision. | Ting Sun, Shengyi Nie, Dit-Yan Yeung, Shaojie Shen |
| 2017 | RecSys | Keynote: Bayesian Deep Learning Models for Recommendation Applications. | Dit-Yan Yeung |
| 2017 | WWW | Dynamic Key-Value Memory Networks for Knowledge Tracing. | Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung |
| 2016 | ECCV | The Visual Object Tracking VOT2016 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Toms Vojr, Gustav Hger, Alan Lukezic, Gustavo Fernndez, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, lvaro Garca-Martn, Andrs Sols Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martnez, 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, Joo F. Henriques, Jochen Lang, Jongwon Choi, Jos M. Martnez, 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 Laganire, 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 Hbner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi |
| 2015 | AAAI | Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs. | Fei Mi, Dit-Yan Yeung |
| 2015 | AAAI | Relational Stacked Denoising Autoencoder for Tag Recommendation. | Hao Wang, Xingjian Shi, Dit-Yan Yeung |
| 2015 | CVPR | Bayesian adaptive matrix factorization with automatic model selection. | Peixian Chen, Naiyan Wang, Nevin L. Zhang, Dit-Yan Yeung |
| 2015 | CVPR | DevNet: A Deep Event Network for multimedia event detection and evidence recounting. | Chuang Gan, Naiyan Wang, Yi Yang, Dit-Yan Yeung, Alexander G. Hauptmann |
| 2015 | ICCV | Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks. | Lin Sun, Kui Jia, Dit-Yan Yeung, Bertram E. Shi |
| 2015 | ICCV | Understanding and Diagnosing Visual Tracking Systems. | Naiyan Wang, Jianping Shi, Dit-Yan Yeung, Jiaya Jia |
| 2015 | ICDM | Temporal Models for Predicting Student Dropout in Massive Open Online Courses. | Mi Fei, Dit-Yan Yeung |
| 2015 | KDD | Collaborative Deep Learning for Recommender Systems. | Hao Wang, Naiyan Wang, Dit-Yan Yeung |
| 2014 | ICML | Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data. | Naiyan Wang, Dit-Yan Yeung |
| 2013 | ICCV | Online Robust Non-negative Dictionary Learning for Visual Tracking. | Naiyan Wang, Jingdong Wang, Dit-Yan Yeung |
| 2013 | ICCV | Bayesian Robust Matrix Factorization for Image and Video Processing. | Naiyan Wang, Dit-Yan Yeung |
| 2013 | IJCAI | SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering. | Jianping Shi, Naiyan Wang, Yang Xia, Dit-Yan Yeung, Irwin King, Jiaya Jia |
| 2013 | IJCAI | Learning High-Order Task Relationships in Multi-Task Learning. | Yu Zhang, Dit-Yan Yeung |
| 2012 | AAAI | Sparse Probabilistic Relational Projection. | Wu-Jun Li, Dit-Yan Yeung |
| 2012 | AAAI | Supervised Probabilistic Robust Embedding with Sparse Noise. | Yu Zhang, Dit-Yan Yeung, Eric P. Xing |
| 2012 | ECCV | A Probabilistic Approach to Robust Matrix Factorization. | Naiyan Wang, Tiansheng Yao, Jingdong Wang, Dit-Yan Yeung |
| 2012 | KDD | Overlapping community detection via bounded nonnegative matrix tri-factorization. | Yu Zhang, Dit-Yan Yeung |
| 2012 | KDD | A probabilistic model for multimodal hash function learning. | Yi Zhen, Dit-Yan Yeung |
| 2011 | AAAI | Social Relations Model for Collaborative Filtering. | Wu-Jun Li, Dit-Yan Yeung |
| 2011 | AAAI | Multi-Task Learning in Heterogeneous Feature Spaces. | Yu Zhang, Dit-Yan Yeung |
| 2011 | IJCAI | A Convex Formulation of Modularity Maximization for Community Detection. | Emprise Y. K. Chan, Dit-Yan Yeung |
| 2011 | IJCAI | Generalized Latent Factor Models for Social Network Analysis. | Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang |
| 2010 | AAAI | Adaptive Transfer Learning. | Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung, Qiang Yang |
| 2010 | AAAI | Transductive Learning on Adaptive Graphs. | Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou |
| 2010 | AAAI | Gaussian Process Latent Random Field. | Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu |
| 2010 | CVPR | Multi-task warped Gaussian process for personalized age estimation. | Yu Zhang, Dit-Yan Yeung |
| 2010 | KDD | Transfer metric learning by learning task relationships. | Yu Zhang, Dit-Yan Yeung |
| 2010 | SIGIR | SED: supervised experimental design and its application to text classification. | Yi Zhen, Dit-Yan Yeung |
| 2010 | UAI | Multi-Domain Collaborative Filtering. | Yu Zhang, Bin Cao, Dit-Yan Yeung |
| 2010 | UAI | A Convex Formulation for Learning Task Relationships in Multi-Task Learning. | Yu Zhang, Dit-Yan Yeung |
| 2009 | CVPR | Localized content-based image retrieval through evidence region identification. | Wu-Jun Li, Dit-Yan Yeung |
| 2009 | IJCAI | Relation Regularized Matrix Factorization. | Wu-Jun Li, Dit-Yan Yeung |
| 2009 | RecSys | TagiCoFi: tag informed collaborative filtering. | Yi Zhen, Wu-Jun Li, Dit-Yan Yeung |
| 2008 | CVPR | Human action recognition using Local Spatio-Temporal Discriminant Embedding. | Kui Jia, Dit-Yan Yeung |
| 2008 | CVPR | Semi-Supervised Discriminant Analysis using robust path-based similarity. | Yu Zhang, Dit-Yan Yeung |
| 2008 | ECCV | Learning Two-View Stereo Matching. | Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Quan |
| 2008 | ECCV | Structuring Visual Words in 3D for Arbitrary-View Object Localization. | Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Quan |
| 2007 | CVPR | Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds. | Wei Fan, Dit-Yan Yeung |
| 2007 | ICCV | Locally Smooth Metric Learning with Application to Image Retrieval. | Dit-Yan Yeung, Hong Chang |
| 2007 | ICML | Kernel selection forl semi-supervised kernel machines. | Guang Dai, Dit-Yan Yeung |
| 2007 | ICML | A kernel path algorithm for support vector machines. | Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky |
| 2007 | IJCAI | Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data. | Guang Dai, Dit-Yan Yeung |
| 2007 | IJCAI | A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning. | Dit-Yan Yeung, Hong Chang, Guang Dai |
| 2007 | MMM | Semi-supervised Cast Indexing for Feature-Length Films. | Wei Fan, Tao Wang, Jean-Yves Bouguet, Wei Hu, Yimin Zhang, Dit-Yan Yeung |
| 2006 | AAAI | Tensor Embedding Methods. | Guang Dai, Dit-Yan Yeung |
| 2006 | AAAI | A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking. | Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung |
| 2006 | CVPR | Graph Laplacian Kernels for Object Classification from a Single Example. | Hong Chang, Dit-Yan Yeung |
| 2006 | CVPR | Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification. | Wei Fan, Dit-Yan Yeung |
| 2006 | ECCV | Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion. | Guang Dai, Dit-Yan Yeung, Hong Chang |
| 2006 | ICDM | Solution Path for Semi-Supervised Classification with Manifold Regularization. | Gang Wang, Tao Chen, Dit-Yan Yeung, Frederick H. Lochovsky |
| 2006 | ICIP | Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features. | Shu Liao, Wei Fan, Albert C. S. Chung, Dit-Yan Yeung |
| 2006 | ICIP | Local Discriminant Embedding with Tensor Representation. | Jian Xia, Dit-Yan Yeung, Guang Dai |
| 2006 | ICML | Two-dimensional solution path for support vector regression. | Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky |
| 2005 | BMVC | Stepwise Metric Adaptation Based on Semi-Supervised Learning for Boosting Image Retrieval Performance. | Hong Chang, Dit-Yan Yeung |
| 2005 | ICCV | Robust Path-Based Spectral Clustering with Application to Image Segmentation. | Hong Chang, Dit-Yan Yeung |
| 2005 | ICIP | Nonlinear dimensionality reduction for classification using kernel weighted subspace method. | Guang Dai, Dit-Yan Yeung |
| 2005 | ICMLC | Kernel-Based Metric Adaptation with Pairwise Constraints. | Hong Chang, Dit-Yan Yeung |
| 2004 | AAAI | Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo. | Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan Yeung |
| 2004 | CVPR | Super-Resolution through Neighbor Embedding. | Hong Chang, Dit-Yan Yeung, Yimin Xiong |
| 2004 | ICML | Locally linear metric adaptation for semi-supervised clustering. | Hong Chang, Dit-Yan Yeung |
| 2004 | ICML | Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model. | Zhihua Zhang, James T. Kwok, Dit-Yan Yeung |
| 2004 | ICML | Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm. | Zhihua Zhang, Dit-Yan Yeung, James T. Kwok |
| 2003 | IJCAI | Parametric Distance Metric Learning with Label Information. | Zhihua Zhang, James T. Kwok, Dit-Yan Yeung |
| 2002 | ICDM | Mixtures of ARMA Models for Model-Based Time Series Clustering. | Yimin Xiong, Dit-Yan Yeung |
| 2002 | ICPR | Parzen-Window Network Intrusion Detectors. | Dit-Yan Yeung, Calvin Chow |
| 2002 | PAKDD | User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models. | Dit-Yan Yeung, Yuxin Ding |
| 2001 | AISTATS | Solving Hidden-Mode Markov Decision Problems. | Samuel Ping-Man Choi, Nevin Lianwen Zhang, Dit-Yan Yeung |
| 2001 | ICDAR | PenCalc: A Novel Application of On-Line Mathematical Expression Recognition Technology. | Kam-Fai Chan, Dit-Yan Yeung |
| 1999 | ICCV | A Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval. | Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin |
| 1998 | ICPR | Elastic structural matching for online handwritten alphanumeric character recognition. | Kam-Fai Chan, Dit-Yan Yeung |
| 1998 | SSPR | Towards Efficient Structural Analysis of Mathematical Expressions. | Kam-Fai Chan, Dit-Yan Yeung |
| 1996 | CVPR | Competitive Mixture of Deformable Models for Pattern Classification. | Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin |
| 1996 | ICANN | Bayesian Regularization in Constructive Neural Networks. | James Tin-Yau Kwok, Dit-Yan Yeung |
| 1995 | ICDAR | A grammatical inference approach to on-line handwriting modeling and recognition: a pilot study. | Dit-Yan Yeung |
| 1991 | ICML | A Neural Network Approach to Constructive Induction. | Dit-Yan Yeung |
| 1989 | ICRA | Using a context-sensitive learning for robot arm control. | Dit-Yan Yeung, George A. Gekey |
| 1987 | ICRA | A decentralized approach to the motion planning problem for multiple mobile robots. | Dit-Yan Yeung, George A. Bekey |