A decentralized approach to the motion planning problem for multiple mobile robots. - Dit-Yan Yeung; George A. Bekey (ICRA, 1987)

Using a context-sensitive learning for robot arm control. - Dit-Yan Yeung; George A. Gekey (ICRA, 1989)

A Neural Network Approach to Constructive Induction. - Dit-Yan Yeung (ML, 1991)

Experimental analysis of input weight freezing in constructive neural networks. - James Tin-Yau Kwok; Dit-Yan Yeung (ICNN, 1993)

Constructive neural networks as estimators of bayesian discriminant functions. - Dit-Yan Yeung (Pattern Recognit., 1993)

On reducing learning time in context-dependent mappings. - Dit-Yan Yeung; George A. Bekey (IEEE Trans. Neural Networks, 1993)

A grammatical inference approach to on-line handwriting modeling and recognition: a pilot study. - Dit-Yan Yeung (ICDAR, 1995)

Efficient cross-validation for feedforward neural networks. - James Tin-Yau Kwok; Dit-Yan Yeung (ICNN, 1995)

On-Line Handwritten Alphanumeric Character Recognition Using Feature Sequences. - Xiaolin Li 006; Dit-Yan Yeung (ICSC, 1995)

Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic Control. - Samuel P. M. Choi; Dit-Yan Yeung (NIPS, 1995)

Improving the approximation and convergence capabilities of projection pursuit learning. - James Tin-Yau Kwok; Dit-Yan Yeung (Neural Process. Lett., 1995)

Competitive Mixture of Deformable Models for Pattern Classification. - Kwok-Wai Cheung 001; Dit-Yan Yeung; Roland T. Chin (CVPR, 1996)

Bayesian Regularization in Constructive Neural Networks. - James Tin-Yau Kwok; Dit-Yan Yeung (ICANN, 1996)

Use of bias term in projection pursuit learning improves approximation and convergence properties. - James Tin-Yau Kwok; Dit-Yan Yeung (IEEE Trans. Neural Networks, 1996)

On-line handwritten alphanumeric character recognition using dominant points in strokes. - Xiaolin Li 006; Dit-Yan Yeung (Pattern Recognit., 1997)

Constructive algorithms for structure learning in feedforward neural networks for regression problems. - James Tin-Yau Kwok; Dit-Yan Yeung (IEEE Trans. Neural Networks, 1997)

Objective functions for training new hidden units in constructive neural networks. - James Tin-Yau Kwok; Dit-Yan Yeung (IEEE Trans. Neural Networks, 1997)

Elastic structural matching for online handwritten alphanumeric character recognition. - Kam-Fai Chan; Dit-Yan Yeung (ICPR, 1998)

Towards Efficient Structural Analysis of Mathematical Expressions. - Kam-Fai Chan; Dit-Yan Yeung (SSPR/SPR, 1998)

A Bayesian Framework for Deformable Pattern Recognition With Application to Handwritten Character Recognition. - Kwok-Wai Cheung 001; Dit-Yan Yeung; Roland T. Chin (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

A Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval. - Kwok-Wai Cheung 001; Dit-Yan Yeung; Roland T. Chin (ICCV, 1999)

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

Recognizing on-line handwritten alphanumeric characters through flexible structural matching. - Kam-Fai Chan; Dit-Yan Yeung (Pattern Recognit., 1999)

Mathematical expression recognition: a survey. - Kam-Fai Chan; Dit-Yan Yeung (Int. J. Document Anal. Recognit., 2000)

An efficient syntactic approach to structural analysis of on-line handwritten mathematical expressions. - Kam-Fai Chan; Dit-Yan Yeung (Pattern Recognit., 2000)

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

PenCalc: A Novel Application of On-Line Mathematical Expression Recognition Technology. - Kam-Fai Chan; Dit-Yan Yeung (ICDAR, 2001)

Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making. - Samuel P. M. Choi; Dit-Yan Yeung; Nevin Lianwen Zhang (Sequence Learning, 2001)

Error detection, error correction and performance evaluation in on-line mathematical expression recognition. - Kam-Fai Chan; Dit-Yan Yeung (Pattern Recognit., 2001)

Mixtures of ARMA Models for Model-Based Time Series Clustering. - Yimin Xiong; Dit-Yan Yeung (ICDM, 2002)

Parzen-Window Network Intrusion Detectors. - Dit-Yan Yeung; Calvin Chow (ICPR (4), 2002)

User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models. - Dit-Yan Yeung; Yuxin Ding (PAKDD, 2002)

Bidirectional Deformable Matching with Application to Handwritten Character Extraction. - Kwok-Wai Cheung 001; Dit-Yan Yeung; Roland T. Chin (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

On deformable models for visual pattern recognition. - Kwok-Wai Cheung 001; Dit-Yan Yeung; Roland T. Chin (Pattern Recognit., 2002)

Parametric Distance Metric Learning with Label Information. - Zhihua Zhang 004; James T. Kwok; Dit-Yan Yeung (IJCAI, 2003)

Host-based intrusion detection using dynamic and static behavioral models. - Dit-Yan Yeung; Yuxin Ding (Pattern Recognit., 2003)

Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo. - Zhihua Zhang 004; Kap Luk Chan; James T. Kwok; Dit-Yan Yeung (AAAI, 2004)

Super-Resolution through Neighbor Embedding. - Hong Chang 001; Dit-Yan Yeung; Yimin Xiong (CVPR (1), 2004)

Reinforcement Learning in Episodic Non-stationary Markovian Environments. - Samuel P. M. Choi; Nevin Lianwen Zhang; Dit-Yan Yeung (IC-AI, 2004)

SVC2004: First International Signature Verification Competition. - Dit-Yan Yeung; Hong Chang 001; Yimin Xiong; Susan E. George; Ramanujan S. Kashi; Takashi Matsumoto 001; Gerhard Rigoll (ICBA, 2004)

Locally linear metric adaptation for semi-supervised clustering. - Hong Chang 001; Dit-Yan Yeung (ICML, 2004)

Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model. - Zhihua Zhang 004; James T. Kwok; Dit-Yan Yeung (ICML, 2004)

Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm. - Zhihua Zhang 004; Dit-Yan Yeung; James T. Kwok (ICML, 2004)

IDR: An Intrusion Detection Router for Defending against Distributed Denial-of-Service (DDoS) Attacks. - Eric Y. K. Chan; H. W. Chan; K. M. Chan; Vivien P. S. Chan; Samuel T. Chanson; Matthew M. H. Cheung; C. F. Chong; Kam-Pui Chow; Albert K. T. Hui; Lucas Chi Kwong Hui; Luke C. K. Lam; W. C. Lau; et al. (ISPAN, 2004)

Time series clustering with ARMA mixtures. - Yimin Xiong; Dit-Yan Yeung (Pattern Recognit., 2004)

Stepwise Metric Adaptation Based on Semi-Supervised Learning for Boosting Image Retrieval Performance. - Hong Chang 001; Dit-Yan Yeung (BMVC, 2005)

Robust Path-Based Spectral Clustering with Application to Image Segmentation. - Hong Chang 001; Dit-Yan Yeung (ICCV, 2005)

Nonlinear dimensionality reduction for classification using kernel weighted subspace method. - Guang Dai; Dit-Yan Yeung (ICIP (2), 2005)

Kernel-Based Metric Adaptation with Pairwise Constraints. - Hong Chang 001; Dit-Yan Yeung (ICMLC, 2005)

Tensor Embedding Methods. - Guang Dai; Dit-Yan Yeung (AAAI, 2006)

A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking. - Jeffrey Junfeng Pan; Qiang Yang 001; Hong Chang 001; Dit-Yan Yeung (AAAI, 2006)

Graph Laplacian Kernels for Object Classification from a Single Example. - Hong Chang 001; Dit-Yan Yeung (CVPR (2), 2006)

Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification. - Wei Fan; Dit-Yan Yeung (CVPR (2), 2006)

Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion. - Guang Dai; Dit-Yan Yeung; Hong Chang 001 (ECCV (4), 2006)

Face Recognition with Image Sets Using Hierarchically Extracted Exemplars from Appearance Manifolds. - Wei Fan; Dit-Yan Yeung (FGR, 2006)

A Coordinated Detection and Response Scheme for Distributed Denial-of-Service Attacks. - Ho-Yu Lam; Chi-Pan Li; Samuel T. Chanson; Dit-Yan Yeung (ICC, 2006)

Solution Path for Semi-Supervised Classification with Manifold Regularization. - Gang Wang 004; Tao Chen; Dit-Yan Yeung; Frederick H. Lochovsky (ICDM, 2006)

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 (ICIP, 2006)

Local Discriminant Embedding with Tensor Representation. - Jian Xia; Dit-Yan Yeung; Guang Dai (ICIP, 2006)

Two-dimensional solution path for support vector regression. - Gang Wang 004; Dit-Yan Yeung; Frederick H. Lochovsky (ICML, 2006)

Defending Against TCP SYN Flooding Attacks Under Different Types of IP Spoofing. - Wei Chen; Dit-Yan Yeung (ICN/ICONS/MCL, 2006)

Intrusion Detection Routers: Design, Implementation and Evaluation Using an Experimental Testbed. - Eric Y. K. Chan; H. W. Chan; K. M. Chan; Vivien P. S. Chan; Samuel T. Chanson; Matthew M. H. Cheung; C. F. Chong; Kam-Pui Chow; Albert K. T. Hui; Lucas Chi Kwong Hui; S. K. Ip; Luke C. K. Lam; et al. (IEEE J. Sel. Areas Commun., 2006)

Model-based transductive learning of the kernel matrix. - Zhihua Zhang 004; James T. Kwok; Dit-Yan Yeung (Mach. Learn., 2006)

Robust locally linear embedding. - Hong Chang 001; Dit-Yan Yeung (Pattern Recognit., 2006)

Locally linear metric adaptation with application to semi-supervised clustering and image retrieval. - Hong Chang 001; Dit-Yan Yeung (Pattern Recognit., 2006)

Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval. - Hong Chang 001; Dit-Yan Yeung; William K. Cheung 001 (Pattern Recognit., 2006)

Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints. - Dit-Yan Yeung; Hong Chang 001 (Pattern Recognit., 2006)

Throttling spoofed SYN flooding traffic at the source. - Wei Chen; Dit-Yan Yeung (Telecommun. Syst., 2006)

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

Locally Smooth Metric Learning with Application to Image Retrieval. - Dit-Yan Yeung; Hong Chang 001 (ICCV, 2007)

Kernel selection forl semi-supervised kernel machines. - Guang Dai; Dit-Yan Yeung (ICML, 2007)

A kernel path algorithm for support vector machines. - Gang Wang 004; Dit-Yan Yeung; Frederick H. Lochovsky (ICML, 2007)

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

A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning. - Dit-Yan Yeung; Hong Chang 001; Guang Dai (IJCAI, 2007)

Semi-supervised Cast Indexing for Feature-Length Films. - Wei Fan; Tao Wang 003; Jean-Yves Bouguet; Wei Hu 002; Yimin Zhang 002; Dit-Yan Yeung (MMM (1), 2007)

Kernel-based distance metric learning for content-based image retrieval. - Hong Chang 001; Dit-Yan Yeung (Image Vis. Comput., 2007)

The Kernel Path in Kernelized LASSO. - Gang Wang 004; Dit-Yan Yeung; Frederick H. Lochovsky (AISTATS, 2007)

Surrogate maximization/minimization algorithms and extensions. - Zhihua Zhang 004; James T. Kwok; Dit-Yan Yeung (Mach. Learn., 2007)

Face recognition using a kernel fractional-step discriminant analysis algorithm. - Guang Dai; Dit-Yan Yeung; Yuntao Qian (Pattern Recognit., 2007)

Learning the kernel matrix by maximizing a KFD-based class separability criterion. - Dit-Yan Yeung; Hong Chang 001; Guang Dai (Pattern Recognit., 2007)

A Kernel Approach for Semisupervised Metric Learning. - Dit-Yan Yeung; Hong Chang 001 (IEEE Trans. Neural Networks, 2007)

Human action recognition using Local Spatio-Temporal Discriminant Embedding. - Kui Jia; Dit-Yan Yeung (CVPR, 2008)

Semi-Supervised Discriminant Analysis using robust path-based similarity. - Yu Zhang 006; Dit-Yan Yeung (CVPR, 2008)

Learning Two-View Stereo Matching. - Jianxiong Xiao; Jingni Chen; Dit-Yan Yeung; Long Quan (ECCV (3), 2008)

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

Posterior Consistency of the Silverman g-prior in Bayesian Model Choice. - Zhihua Zhang 004; Michael I. Jordan; Dit-Yan Yeung (NIPS, 2008)

Semi-supervised Discriminant Analysis Via CCCP. - Yu Zhang 006; Dit-Yan Yeung (ECML/PKDD (2), 2008)

A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability. - Dit-Yan Yeung; Hong Chang 001; Guang Dai (Neural Comput., 2008)

Robust path-based spectral clustering. - Hong Chang 001; Dit-Yan Yeung (Pattern Recognit., 2008)

A New Solution Path Algorithm in Support Vector Regression. - Gang Wang 004; Dit-Yan Yeung; Frederick H. Lochovsky (IEEE Trans. Neural Networks, 2008)

Localized content-based image retrieval through evidence region identification. - Wu-Jun Li; Dit-Yan Yeung (CVPR, 2009)

Relation Regularized Matrix Factorization. - Wu-Jun Li; Dit-Yan Yeung (IJCAI, 2009)

Probabilistic Relational PCA. - Wu-Jun Li; Dit-Yan Yeung; Zhihua Zhang 004 (NIPS, 2009)

Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension. - Yu Zhang 006; Dit-Yan Yeung (ECML/PKDD (2), 2009)

Semi-Supervised Multi-Task Regression. - Yu Zhang 006; Dit-Yan Yeung (ECML/PKDD (2), 2009)

TagiCoFi: tag informed collaborative filtering. - Yi Zhen; Wu-Jun Li; Dit-Yan Yeung (RecSys, 2009)

Latent Wishart Processes for Relational Kernel Learning. - Wu-Jun Li; Zhihua Zhang 004; Dit-Yan Yeung (AISTATS, 2009)

Coherence Functions for Multicategory Margin-based Classification Methods. - Zhihua Zhang 004; Michael I. Jordan; Wu-Jun Li; Dit-Yan Yeung (AISTATS, 2009)

Adaptive Transfer Learning. - Bin Cao 001; Sinno Jialin Pan; Yu Zhang 006; Dit-Yan Yeung; Qiang Yang 001 (AAAI, 2010)

Transductive Learning on Adaptive Graphs. - Yan-Ming Zhang 001; Yu Zhang 006; Dit-Yan Yeung; Cheng-Lin Liu 001; Xinwen Hou (AAAI, 2010)

Gaussian Process Latent Random Field. - Guoqiang Zhong 001; Wu-Jun Li; Dit-Yan Yeung; Xinwen Hou; Cheng-Lin Liu 001 (AAAI, 2010)

Multi-task warped Gaussian process for personalized age estimation. - Yu Zhang 006; Dit-Yan Yeung (CVPR, 2010)

Transfer metric learning by learning task relationships. - Yu Zhang 006; Dit-Yan Yeung (KDD, 2010)

Worst-Case Linear Discriminant Analysis. - Yu Zhang 006; Dit-Yan Yeung (NIPS, 2010)

Probabilistic Multi-Task Feature Selection. - Yu Zhang 006; Dit-Yan Yeung; Qian Xu (NIPS, 2010)

SED: supervised experimental design and its application to text classification. - Yi Zhen; Dit-Yan Yeung (SIGIR, 2010)

Multi-Domain Collaborative Filtering. - Yu Zhang 006; Bin Cao 001; Dit-Yan Yeung (UAI, 2010)

A Convex Formulation for Learning Task Relationships in Multi-Task Learning. - Yu Zhang 006; Dit-Yan Yeung (UAI, 2010)

Multi-Task Learning using Generalized t Process. - Yu Zhang 006; Dit-Yan Yeung (AISTATS, 2010)

A regularization framework for multiclass classification: A deterministic annealing approach. - Zhihua Zhang 004; Gang Wang 004; Dit-Yan Yeung; Guang Dai; Frederick H. Lochovsky (Pattern Recognit., 2010)

MILD: Multiple-Instance Learning via Disambiguation. - Wu-Jun Li; Dit-Yan Yeung (IEEE Trans. Knowl. Data Eng., 2010)

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

Multi-Task Learning in Heterogeneous Feature Spaces. - Yu Zhang 006; Dit-Yan Yeung (AAAI, 2011)

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

Generalized Latent Factor Models for Social Network Analysis. - Wu-Jun Li; Dit-Yan Yeung; Zhihua Zhang 004 (IJCAI, 2011)

Discriminative Experimental Design. - Yu Zhang 006; Dit-Yan Yeung (ECML/PKDD (3), 2011)

Semisupervised Generalized Discriminant Analysis. - Yu Zhang 006; Dit-Yan Yeung (IEEE Trans. Neural Networks, 2011)

Sparse Probabilistic Relational Projection. - Wu-Jun Li; Dit-Yan Yeung (AAAI, 2012)

Supervised Probabilistic Robust Embedding with Sparse Noise. - Yu Zhang 006; Dit-Yan Yeung; Eric P. Xing (AAAI, 2012)

A Probabilistic Approach to Robust Matrix Factorization. - Naiyan Wang; Tiansheng Yao; Jingdong Wang 001; Dit-Yan Yeung (ECCV (7), 2012)

Overlapping community detection via bounded nonnegative matrix tri-factorization. - Yu Zhang 006; Dit-Yan Yeung (KDD, 2012)

A probabilistic model for multimodal hash function learning. - Yi Zhen; Dit-Yan Yeung (KDD, 2012)

Co-Regularized Hashing for Multimodal Data. - Yi Zhen; Dit-Yan Yeung (NIPS, 2012)

Multi-Task Boosting by Exploiting Task Relationships. - Yu Zhang 006; Dit-Yan Yeung (ECML/PKDD (1), 2012)

Transfer Metric Learning with Semi-Supervised Extension. - Yu Zhang 006; Dit-Yan Yeung (ACM Trans. Intell. Syst. Technol., 2012)

Solution Path for Manifold Regularized Semisupervised Classification. - Gang Wang 004; Fei Wang 001; Tao Chen; Dit-Yan Yeung; Frederick H. Lochovsky (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Online Robust Non-negative Dictionary Learning for Visual Tracking. - Naiyan Wang; Jingdong Wang 001; Dit-Yan Yeung (ICCV, 2013)

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

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

Learning High-Order Task Relationships in Multi-Task Learning. - Yu Zhang 006; Dit-Yan Yeung (IJCAI, 2013)

Learning a Deep Compact Image Representation for Visual Tracking. - Naiyan Wang; Dit-Yan Yeung (NIPS, 2013)

Active hashing and its application to image and text retrieval. - Yi Zhen; Dit-Yan Yeung (Data Min. Knowl. Discov., 2013)

Multilabel relationship learning. - Yu Zhang 006; Dit-Yan Yeung (ACM Trans. Knowl. Discov. Data, 2013)

A Regularization Approach to Learning Task Relationships in Multitask Learning. - Yu Zhang 006; Dit-Yan Yeung (ACM Trans. Knowl. Discov. Data, 2013)

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

Multicategory large margin classification methods: Hinge losses vs. coherence functions. - Zhihua Zhang 004; Cheng Chen 015; Guang Dai; Wu-Jun Li; Dit-Yan Yeung (Artif. Intell., 2014)

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 014; Xingjian Shi; Dit-Yan Yeung (AAAI, 2015)

Bayesian adaptive matrix factorization with automatic model selection. - Peixian Chen; Naiyan Wang; Nevin L. Zhang; Dit-Yan Yeung (CVPR, 2015)

DevNet: A Deep Event Network for multimedia event detection and evidence recounting. - Chuang Gan 001; Naiyan Wang; Yi Yang 001; Dit-Yan Yeung; Alexander G. Hauptmann (CVPR, 2015)

Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks. - Lin Sun 004; Kui Jia; Dit-Yan Yeung; Bertram E. Shi (ICCV, 2015)

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

Temporal Models for Predicting Student Dropout in Massive Open Online Courses. - Mi Fei; Dit-Yan Yeung (ICDM Workshops, 2015)

Collaborative Deep Learning for Recommender Systems. - Hao Wang 014; Naiyan Wang; Dit-Yan Yeung (KDD, 2015)

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting. - Xingjian Shi; Zhourong Chen; Hao Wang 014; Dit-Yan Yeung; Wai-Kin Wong; Wang-chun Woo (NIPS, 2015)

Transferring Rich Feature Hierarchies for Robust Visual Tracking. - Naiyan Wang; Siyi Li; Abhinav Gupta 001; Dit-Yan Yeung (CoRR, 2015)

Instance-specific canonical correlation analysis. - Deming Zhai; Yu Zhang 006; Dit-Yan Yeung; Hong Chang 001; Xilin Chen 001; Wen Gao 001 (Neurocomputing, 2015)

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 001; Alfredo Petrosino; et al. (ECCV Workshops (2), 2016)

Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks. - Hao Wang 014; Xingjian Shi; Dit-Yan Yeung (NIPS, 2016)

Natural-Parameter Networks: A Class of Probabilistic Neural Networks. - Hao Wang 014; Xingjian Shi; Dit-Yan Yeung (NIPS, 2016)

Towards Bayesian Deep Learning: A Survey. - Hao Wang 014; Dit-Yan Yeung (CoRR, 2016)

Dynamic Key-Value Memory Network for Knowledge Tracing. - Jiani Zhang 001; Xingjian Shi; Irwin King; Dit-Yan Yeung (CoRR, 2016)

Spectral Multimodal Hashing and Its Application to Multimedia Retrieval. - Yi Zhen; Yue Gao 002; Dit-Yan Yeung; Hongyuan Zha; Xuelong Li 001 (IEEE Trans. Cybern., 2016)

Towards Bayesian Deep Learning: A Framework and Some Existing Methods. - Hao Wang 014; Dit-Yan Yeung (IEEE Trans. Knowl. Data Eng., 2016)

Relational Deep Learning: A Deep Latent Variable Model for Link Prediction. - Hao Wang 014; 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 (AAAI, 2017)

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

Lattice Long Short-Term Memory for Human Action Recognition. - Lin Sun 004; Kui Jia; Kevin Chen 001; Dit-Yan Yeung; Bertram E. Shi; Silvio Savarese (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 002; Xiaodan Liang; Xiaolong Wang 004; Dit-Yan Yeung; Abhinav Gupta 001 (ICCV, 2017)

Gesture-based piloting of an aerial robot using monocular vision. - Ting Sun 001; Shengyi Nie; Dit-Yan Yeung; Shaojie Shen (ICRA, 2017)

Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model. - Xingjian Shi; Zhihan Gao 001; Leonard Lausen; Hao Wang 014; Dit-Yan Yeung; Wai-Kin Wong; Wang-chun Woo (NIPS, 2017)

Keynote: Bayesian Deep Learning Models for Recommendation Applications. - Dit-Yan Yeung (DLRS@RecSys, 2017)

Dynamic Key-Value Memory Networks for Knowledge Tracing. - Jiani Zhang 001; Xingjian Shi; Irwin King; Dit-Yan Yeung (WWW, 2017)

ZM-Net: Real-time Zero-shot Image Manipulation Network. - Hao Wang 014; Xiaodan Liang; Hao Zhang 025; Dit-Yan Yeung; Eric P. Xing (CoRR, 2017)

Fine-grained categorization via CNN-based automatic extraction and integration of object-level and part-level features. - Ting Sun 001; Lin Sun 004; Dit-Yan Yeung (Image Vis. Comput., 2017)

Learning Unmanned Aerial Vehicle Control for Autonomous Target Following. - Siyi Li; Tianbo Liu 001; Chi Zhang 067; Dit-Yan Yeung; Shaojie Shen (IJCAI, 2018)

Learning Accurate Objectness Instance Segmentation from Photorealistic Rendering for Robotic Manipulation. - Siyi Li; Jiaji Zhou; Zhenzhong Jia; Dit-Yan Yeung; Matthew T. Mason (ISER, 2018)

Addressing two problems in deep knowledge tracing via prediction-consistent regularization. - Chun-Kit Yeung; Dit-Yan Yeung (L@S, 2018)

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. - Jiani Zhang 001; Xingjian Shi; Junyuan Xie; Hao Ma 001; Irwin King; Dit-Yan Yeung (UAI, 2018)

Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction. - Chun-Kit Yeung; Zizheng Lin; Kai Yang; Dit-Yan Yeung (CoRR, 2018)

Machine Learning for Spatiotemporal Sequence Forecasting: A Survey. - Xingjian Shi; Dit-Yan Yeung (CoRR, 2018)

Point-cloud-based place recognition using CNN feature extraction. - Ting Sun 001; Ming Liu 001; Haoyang Ye; Dit-Yan Yeung (CoRR, 2018)

Coupled Recurrent Network (CRN). - Lin Sun 004; Kui Jia; Yuejia Shen; Silvio Savarese; Dit-Yan Yeung; Bertram E. Shi (CoRR, 2018)

Multilingual and Multi-Aspect Hate Speech Analysis. - Nedjma Ousidhoum; Zizheng Lin; Hongming Zhang 009; Yangqiu Song; Dit-Yan Yeung (EMNLP/IJCNLP (1), 2019)

Marginalized Average Attentional Network for Weakly-Supervised Learning. - Yuan Yuan 002; Yueming Lyu; Xi Shen 001; Ivor W. Tsang; Dit-Yan Yeung (ICLR (Poster), 2019)

Semi-semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments. - Ting Sun 001; Dezhen Song; Dit-Yan Yeung; Ming Liu 001 (ICVS, 2019)

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 (LAK, 2019)

Knowledge Query Network for Knowledge Tracing: How Knowledge Interacts with Skills. - Jinseok Lee; Dit-Yan Yeung (LAK, 2019)

Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction. - Chun-Kit Yeung; Dit-Yan Yeung (Int. J. Artif. Intell. Educ., 2019)

Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues. - Ting Sun 001; Lei Tai; Zhihan Gao 001; Ming Liu 001; Dit-Yan Yeung (CoRR, 2019)

Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation. - Ting Sun 001; Yuxiang Sun; Ming Liu 001; Dit-Yan Yeung (CoRR, 2019)

Knowledge Query Network: How Knowledge Interacts with Skills. - Jinseok Lee; Dit-Yan Yeung (CoRR, 2019)

Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets. - Nedjma Ousidhoum; Yangqiu Song; Dit-Yan Yeung (EMNLP (1), 2020)

Probing Toxic Content in Large Pre-Trained Language Models. - Nedjma Ousidhoum; Xinran Zhao; Tianqing Fang; Yangqiu Song; Dit-Yan Yeung (ACL/IJCNLP (1), 2021)

MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. - Kai Chen 023; Lanqing Hong; Hang Xu 004; Zhenguo Li; Dit-Yan Yeung (ICCV, 2021)

MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space. - Tsz-Him Cheung; Dit-Yan Yeung (ICLR, 2021)

Stereo Waterdrop Removal with Row-wise Dilated Attention. - Zifan Shi; Na Fan 002; Dit-Yan Yeung; Qifeng Chen (IROS, 2021)

Clickstream Knowledge Tracing: Modeling How Students Answer Interactive Online Questions. - Wai-Lun Chan; Dit-Yan Yeung (LAK, 2021)

A Survey on Bayesian Deep Learning. - Hao Wang 014; Dit-Yan Yeung (ACM Comput. Surv., 2021)

Controlled Text Generation Using Dictionary Prior in Variational Autoencoders. - Xianghong Fang; Jian Li 054; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Dit-Yan Yeung (ACL (Findings), 2022)

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. - Kaican Li; Kai Chen 023; Haoyu Wang; Lanqing Hong; Chaoqiang Ye; Jianhua Han; Yukuai Chen; Wei Zhang 196; Chunjing Xu; Dit-Yan Yeung; Xiaodan Liang; Zhenguo Li; et al. (ECCV (38), 2022)

3D-Aware Indoor Scene Synthesis with Depth Priors. - Zifan Shi; Yujun Shen; Jiapeng Zhu 001; Dit-Yan Yeung; Qifeng Chen (ECCV (16), 2022)

AdaAug: Learning Class- and Instance-adaptive Data Augmentation Policies. - Tsz-Him Cheung; Dit-Yan Yeung (ICLR, 2022)

Earthformer: Exploring Space-Time Transformers for Earth System Forecasting. - Zhihan Gao 001; Xingjian Shi; Hao Wang 014; Yi Zhu 001; Yuyang Wang 001; Mu Li 003; Dit-Yan Yeung (NeurIPS, 2022)

Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator. - Zifan Shi; Yinghao Xu 001; Yujun Shen; Deli Zhao; Qifeng Chen; Dit-Yan Yeung (NeurIPS, 2022)

Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs. - Meng Qin 002; Chaorui Zhang; Bo Bai 001; Gong Zhang 001; Dit-Yan Yeung (CoRR, 2022)

SongRewriter: A Chinese Song Rewriting System with Controllable Content and Rhyme Scheme. - Yusen Sun; Liangyou Li; Qun Liu 001; Dit-Yan Yeung (ACL (Findings), 2023)

Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture. - Xinran Zhao; Esin Durmus; Dit-Yan Yeung (ACL (Findings), 2023)

Mixed Autoencoder for Self-Supervised Visual Representation Learning. - Kai Chen 023; Zhili Liu; Lanqing Hong; Hang Xu 004; Zhenguo Li; Dit-Yan Yeung (CVPR, 2023)

Learning 3D-Aware Image Synthesis with Unknown Pose Distribution. - Zifan Shi; Yujun Shen; Yinghao Xu 001; Sida Peng; Yiyi Liao; Sheng Guo; Qifeng Chen; Dit-Yan Yeung (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 004 (CVPR, 2023)

Towards General Error Diagnosis via Behavioral Testing in Machine Translation. - Junjie Wu 007; Lemao Liu; Dit-Yan Yeung (EMNLP (Findings), 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 (ICCV, 2023)

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

Adaptive Online Replanning with Diffusion Models. - Siyuan Zhou; Yilun Du; Shun Zhang; Mengdi Xu; Yikang Shen; Wei Xiao 003; Dit-Yan Yeung; Chuang Gan 001 (NeurIPS, 2023)

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

Deep COVID-19 Forecasting for Multiple States with Data Augmentation. - Chung Yan Fong; Dit-Yan Yeung (CoRR, 2023)

Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt. - Kai Chen 023; Enze Xie; Zhe Chen; Lanqing Hong; Zhenguo Li; Dit-Yan Yeung (CoRR, 2023)

SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification. - Junjie Wu 007; Dit-Yan Yeung (CoRR, 2023)

Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models. - Zhili Liu; Kai Chen 023; Yifan Zhang; Jianhua Han; Lanqing Hong; Hang Xu 004; Zhenguo Li; Dit-Yan Yeung; James T. Kwok (CoRR, 2023)

TrackDiffusion: Multi-object Tracking Data Generation via Diffusion Models. - Pengxiang Li; Zhili Liu; Kai Chen 023; Lanqing Hong; Yunzhi Zhuge; Dit-Yan Yeung; Huchuan Lu; Xu Jia 012 (CoRR, 2023)

Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning. - Yunhao Gou; Zhili Liu; Kai Chen 023; Lanqing Hong; Hang Xu 004; Aoxue Li; Dit-Yan Yeung; James T. Kwok; Yu Zhang 006 (CoRR, 2023)

High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation. - Meng Qin 002; Chaorui Zhang; Bo Bai 001; Gong Zhang 001; Dit-Yan Yeung (IEEE Trans. Knowl. Data Eng., 2023)

Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs. - Meng Qin 002; Chaorui Zhang; Bo Bai 001; Gong Zhang 001; Dit-Yan Yeung (ACM Trans. Knowl. Discov. Data, 2023)

Gaussian Shell Maps for Efficient 3D Human Generation. - Rameen Abdal; Yifan Wang 011; Zifan Shi; Yinghao Xu 001; Ryan Po; Zhengfei Kuang; Qifeng Chen; Dit-Yan Yeung; Gordon Wetzstein (CVPR, 2024)

DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception. - Yibo Wang; Ruiyuan Gao 001; Kai Chen 023; Kaiqiang Zhou; Yingjie Cai; Lanqing Hong; Zhenguo Li; Lihui Jiang; Dit-Yan Yeung; Qiang Xu 001; Kai Zhang 008 (CVPR, 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 (ECCV (35), 2024)

Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation. - Yunhao Gou; Kai Chen 023; Zhili Liu; Lanqing Hong; Hang Xu 004; Zhenguo Li; Dit-Yan Yeung; James T. Kwok; Yu Zhang 006 (ECCV (17), 2024)

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 196; Hang Xu 004; Dit-Yan Yeung (ECCV (26), 2024)

Implicit Concept Removal of Diffusion Models. - Zhili Liu; Kai Chen 023; Yifan Zhang; Jianhua Han; Lanqing Hong; Hang Xu 004; Zhenguo Li; Dit-Yan Yeung; James T. Kwok (ECCV (21), 2024)

Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability. - Tsz Ting Chung; Leyang Cui; Lemao Liu; Xinting Huang; Shuming Shi 001; Dit-Yan Yeung (EMNLP (Findings), 2024)

Rethinking Targeted Adversarial Attacks for Neural Machine Translation. - Junjie Wu 007; Lemao Liu; Wei Bi; Dit-Yan Yeung (ICASSP, 2024)

MagicDrive: Street View Generation with Diverse 3D Geometry Control. - Ruiyuan Gao 001; Kai Chen 023; Enze Xie; Lanqing Hong; Zhenguo Li; Dit-Yan Yeung; Qiang Xu 001 (ICLR, 2024)

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. - Kai Chen 023; Chunwei Wang; Kuo Yang; Jianhua Han; Lanqing Hong; Fei Mi; Hang Xu 004; Zhengying Liu; Wenyong Huang; Zhenguo Li; Dit-Yan Yeung; Lifeng Shang; et al. (ICLR, 2024)

GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation. - Kai Chen 023; Enze Xie; Zhe Chen; Yibo Wang; Lanqing Hong; Zhenguo Li; Dit-Yan Yeung (ICLR, 2024)

RoboDreamer: Learning Compositional World Models for Robot Imagination. - Siyuan Zhou; Yilun Du; Jiaben Chen; Yandong Li; Dit-Yan Yeung; Chuang Gan 001 (ICML, 2024)

Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation. - Meng Qin 002; Chaorui Zhang; Yu Gao; Weixi Zhang; Dit-Yan Yeung (KDD, 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 (NeurIPS, 2024)

TransformMix: Learning Transformation and Mixing Strategies from Data. - Tsz-Him Cheung; Dit-Yan Yeung (CoRR, 2024)

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; et al. (CoRR, 2024)

AnyAttack: Towards Large-scale Self-supervised Generation of Targeted Adversarial Examples for Vision-Language Models. - Jiaming Zhang 006; Junhong Ye; Xingjun Ma; Yige Li; Yunfan Yang; Jitao Sang; Dit-Yan Yeung (CoRR, 2024)

SG-LRA: Self-Generating Automatic Scoliosis Cobb Angle Measurement with Low-Rank Approximation. - Zhiwen Shao; Yichen Yuan; Lizhuang Ma; Dit-Yan Yeung; Xiaojia Zhu (CoRR, 2024)

IRWE: Inductive Random Walk for Joint Inference of Identity and Position Network Embedding. - Meng Qin 002; Dit-Yan Yeung (Trans. Mach. Learn. Res., 2024)

Temporal Link Prediction: A Unified Framework, Taxonomy, and Review. - Meng Qin 002; Dit-Yan Yeung (ACM Comput. Surv., 2024)

A Survey of Automated Data Augmentation for Image Classification: Learning to Compose, Mix, and Generate. - Tsz-Him Cheung; Dit-Yan Yeung (IEEE Trans. Neural Networks Learn. Syst., 2024)

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

Ref-Long: Benchmarking the Long-context Referencing Capability of Long-context Language Models. - Junjie Wu 007; Gefei Gu; Yanan Zheng; Dit-Yan Yeung; Arman Cohan (ACL (1), 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; et al. (CVPR, 2025)

Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models. - Jiaming Zhang 006; Junhong Ye; Xingjun Ma; Yige Li; Yunfan Yang; Yunhao Chen; Jitao Sang; Dit-Yan Yeung (CVPR, 2025)

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

Understanding LLMs' Fluid Intelligence Deficiency: An Analysis of the ARC Task. - Junjie Wu 007; Mo Yu; Lemao Liu; Dit-Yan Yeung; Jie Zhou 016 (NAACL (Long Papers), 2025)

The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding. - Mo Yu; Lemao Liu; Junjie Wu 007; Tsz Ting Chung; Shunchi Zhang; Jiangnan Li; Dit-Yan Yeung; Jie Zhou 016 (NAACL (Long Papers), 2025)

Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases. - Kai Chen 023; Yanze Li; Wenhua Zhang; Yanxin Liu; Pengxiang Li; Ruiyuan Gao 001; Lanqing Hong; Meng Tian; Xinhai Zhao; Zhenguo Li; Dit-Yan Yeung; Huchuan Lu; et al. (WACV, 2025)

TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models. - Pengxiang Li; Kai Chen 023; Zhili Liu; Ruiyuan Gao 001; Lanqing Hong; Dit-Yan Yeung; Huchuan Lu; Xu Jia 012 (WACV, 2025)

Graph Neural Networks for multivariate time-series forecasting via learning hierarchical spatiotemporal dependencies. - Zhou Zhou 003; Ronisha Basker; Dit-Yan Yeung (Eng. Appl. Artif. Intell., 2025)

MF-CLIP: Leveraging CLIP as Surrogate Models for No-Box Adversarial Attacks. - Jiaming Zhang 006; Lingyu Qiu; Qi Yi; Yige Li; Jitao Sang; Changsheng Xu; Dit-Yan Yeung (IEEE Trans. Inf. Forensics Secur., 2025)

Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models. - Junjie Wu 007; Tsz Ting Chung; Kai Chen 023; Dit-Yan Yeung (Trans. Mach. Learn. Res., 2025)

CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models Feedback. - Chenhan Jiang; Yihan Zeng; Hang Xu 004; Dit-Yan Yeung (CoRR, 2025)

Learning 3D Persistent Embodied World Models. - Siyuan Zhou; Yilun Du; Yuncong Yang; Lei Han; Peihao Chen; Dit-Yan Yeung; Chuang Gan 001 (CoRR, 2025)

High-level LoRA and hierarchical fusion for enhanced micro-expression recognition. - Zhiwen Shao; Yifan Cheng; Yong Zhou 003; Xiang Xiang 001; Jian Li 054; Bing Liu 016; Dit-Yan Yeung (Vis. Comput., 2025)

ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving. - Kai Chen 023; Ruiyuan Gao 001; Lanqing Hong; Hang Xu 004; Xu Jia 012; Holger Caesar; Dengxin Dai; Bingbing Liu; Dzmitry Tsishkou; Songcen Xu; Chunjing Xu; Qiang Xu 001; et al. (CoRR, 2025)

SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension. - Junjie Wu 007; Jiangnan Li; Yuqing Li; Lemao Liu; Liyan Xu; Jiwei Li; Dit-Yan Yeung; Jie Zhou 016; Mo Yu (CoRR, 2025)

Constrained and directional ensemble attention for facial action unit detection. - Zhiwen Shao; Bikuan Chen; Yong Zhou 003; Xuehuai Shi; Canlin Li; Lizhuang Ma; Dit-Yan Yeung (Pattern Recognit., 2026)