Dit-Yan Yeung - RankMe

323 papers A* 84A 19B 5C 2Misc 3Journal 148Unranked 61

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An online forecasting-based fine-tuning pipeline for time-series anomaly prediction. Neural Networks Zhou Zhou, Van-Hoan Trinh, Yuet Ming Joyce Yue, Dit-Yan Yeung, Ka-Hing Wong, Wai-Kin Wong
2026	A*	`conf`	CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models Feedback. AAAI Chenhan Jiang, Yihan Zeng, Dit-Yan Yeung
2026	J	`jnl`	Constrained and directional ensemble attention for facial action unit detection. Pattern Recognit. Zhiwen Shao, Bikuan Chen, Yong Zhou, Xuehuai Shi, Canlin Li, Lizhuang Ma, Dit-Yan Yeung
2026	J	`jnl`	Mixture of Cluster-Conditional LoRA Experts for Vision-Language Instruction Tuning. IEEE Trans. Image Process. Yunhao Gou, Zhili Liu, Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2026	J	`jnl`	TextRSR: Enhanced Arbitrary-Shaped Scene Text Representation via Robust Subspace Recovery. IEEE Trans. Multim. Zhiwen Shao, Shengtian Jiang, Hancheng Zhu, Xuehuai Shi, Canlin Li, Lizhuang Ma, Dit-Yan Yeung
2025	A*	`conf`	Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models. CVPR Jiaming Zhang, Junhong Ye, Xingjun Ma, Yige Li, Yunfan Yang, Yunhao Chen, Jitao Sang, Dit-Yan Yeung
2025	A	`conf`	Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases. WACV 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	J	`jnl`	CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models Feedback. CoRR Chenhan Jiang, Yihan Zeng, Hang Xu, Dit-Yan Yeung
2025	—	`conf`	DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models. EMNLP (Findings) Tsz Ting Chung, Lemao Liu, Mo Yu, Dit-Yan Yeung
2025	J	`jnl`	DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models. CoRR Tsz Ting Chung, Lemao Liu, Mo Yu, Dit-Yan Yeung
2025	J	`jnl`	ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving. CoRR Kai Chen, Ruiyuan Gao, Lanqing Hong, Hang Xu, Xu Jia, Holger Caesar, Dengxin Dai, Bingbing Liu, Dzmitry Tsishkou, Songcen Xu, Chunjing Xu, Qiang Xu, Huchuan Lu, Dit-Yan Yeung
2025	A*	`conf`	EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. CVPR 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	A*	`conf`	Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage. ICLR Ying-yee Ava Lau, Zhiwen Shao, Dit-Yan Yeung
2025	A*	`conf`	G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4o. AAAI Tony Cheng Tong, Sirui He, Zhiwen Shao, Dit-Yan Yeung
2025	J	`jnl`	Graph Neural Networks for multivariate time-series forecasting via learning hierarchical spatiotemporal dependencies. Eng. Appl. Artif. Intell. Zhou Zhou, Ronisha Basker, Dit-Yan Yeung
2025	J	`jnl`	High-level LoRA and hierarchical fusion for enhanced micro-expression recognition. Vis. Comput. Zhiwen Shao, Yifan Cheng, Yong Zhou, Xiang Xiang, Jian Li, Bing Liu, Dit-Yan Yeung
2025	J	`jnl`	Learning 3D Persistent Embodied World Models. CoRR Siyuan Zhou, Yilun Du, Yuncong Yang, Lei Han, Peihao Chen, Dit-Yan Yeung, Chuang Gan
2025	J	`jnl`	MF-CLIP: Leveraging CLIP as Surrogate Models for No-Box Adversarial Attacks. IEEE Trans. Inf. Forensics Secur. Jiaming Zhang, Lingyu Qiu, Qi Yi, Yige Li, Jitao Sang, Changsheng Xu, Dit-Yan Yeung
2025	J	`jnl`	Micro-Expression Recognition via Fine-Grained Dynamic Perception. CoRR Zhiwen Shao, Yifan Cheng, Fan Zhang, Xuehuai Shi, Canlin Li, Lizhuang Ma, Dit-Yan Yeung
2025	J	`jnl`	Micro-Expression Recognition via Fine-Grained Dynamic Perception. ACM Trans. Multim. Comput. Commun. Appl. Zhiwen Shao, Yifan Cheng, Fan Zhang, Xuehuai Shi, Canlin Li, Lizhuang Ma, Dit-Yan Yeung
2025	J	`jnl`	Mirror Detection via Multi-Directional Similarity Perception and Spectral Saliency Enhancement. IEEE Trans. Circuits Syst. Video Technol. Zhiwen Shao, Rui Chen, Xuehuai Shi, Bing Liu, Canlin Li, Lizhuang Ma, Dit-Yan Yeung
2025	—	`conf`	Ref-Long: Benchmarking the Long-context Referencing Capability of Long-context Language Models. ACL (1) Junjie Wu, Gefei Gu, Yanan Zheng, Dit-Yan Yeung, Arman Cohan
2025	J	`jnl`	Ref-Long: Benchmarking the Long-context Referencing Capability of Long-context Language Models. CoRR Junjie Wu, Gefei Gu, Yanan Zheng, Dit-Yan Yeung, Arman Cohan
2025	J	`jnl`	STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting. CoRR Shi Quan Foo, Chi-Ho Wong, Zhihan Gao, Dit-Yan Yeung, Ka-Hing Wong, Wai-Kin Wong
2025	J	`jnl`	STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting. Trans. Mach. Learn. Res. Shi Quan Foo, Chi-Ho Wong, Zhihan Gao, Dit-Yan Yeung, Ka-Hing Wong, Wai-Kin Wong
2025	J	`jnl`	SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension. CoRR Junjie Wu, Jiangnan Li, Yuqing Li, Lemao Liu, Liyan Xu, Jiwei Li, Dit-Yan Yeung, Jie Zhou, Mo Yu
2025	—	`conf`	The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding. NAACL (Long Papers) Mo Yu, Lemao Liu, Junjie Wu, Tsz Ting Chung, Shunchi Zhang, Jiangnan Li, Dit-Yan Yeung, Jie Zhou
2025	J	`jnl`	The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding. CoRR Mo Yu, Lemao Liu, Junjie Wu, Tsz Ting Chung, Shunchi Zhang, Jiangnan Li, Dit-Yan Yeung, Jie Zhou
2025	A	`conf`	TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models. WACV Pengxiang Li, Kai Chen, Zhili Liu, Ruiyuan Gao, Lanqing Hong, Dit-Yan Yeung, Huchuan Lu, Xu Jia
2025	—	`conf`	Understanding LLMs' Fluid Intelligence Deficiency: An Analysis of the ARC Task. NAACL (Long Papers) Junjie Wu, Mo Yu, Lemao Liu, Dit-Yan Yeung, Jie Zhou
2025	J	`jnl`	Understanding LLMs' Fluid Intelligence Deficiency: An Analysis of the ARC Task. CoRR Junjie Wu, Mo Yu, Lemao Liu, Dit-Yan Yeung, Jie Zhou
2025	J	`jnl`	Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models. Trans. Mach. Learn. Res. Junjie Wu, Tsz Ting Chung, Kai Chen, Dit-Yan Yeung
2024	J	`jnl`	A Survey of Automated Data Augmentation for Image Classification: Learning to Compose, Mix, and Generate. IEEE Trans. Neural Networks Learn. Syst. Tsz-Him Cheung, Dit-Yan Yeung
2024	J	`jnl`	AnyAttack: Towards Large-scale Self-supervised Generation of Targeted Adversarial Examples for Vision-Language Models. CoRR Jiaming Zhang, Junhong Ye, Xingjun Ma, Yige Li, Yunfan Yang, Jitao Sang, Dit-Yan Yeung
2024	J	`jnl`	Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases. CoRR Yanze Li, Wenhua Zhang, Kai Chen, Yanxin Liu, Pengxiang Li, Ruiyuan Gao, Lanqing Hong, Meng Tian, Xinhai Zhao, Zhenguo Li, Dit-Yan Yeung, Huchuan Lu, Xu Jia
2024	A*	`conf`	DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception. CVPR Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang
2024	J	`jnl`	DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception. CoRR Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang
2024	J	`jnl`	EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. CoRR 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, Jun Yao, Lanqing Hong, Lu Hou, Hang Xu
2024	J	`jnl`	Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation. CoRR Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2024	—	`conf`	Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation. ECCV (17) Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2024	A*	`conf`	Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting. NeurIPS Chiu Wai Yan, Shi Quan Foo, Van-Hoan Trinh, Dit-Yan Yeung, Ka-Hing Wong, Wai-Kin Wong
2024	J	`jnl`	Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting. CoRR Chiu Wai Yan, Shi Quan Foo, Van-Hoan Trinh, Dit-Yan Yeung, Ka-Hing Wong, Wai-Kin Wong
2024	J	`jnl`	G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4o. CoRR Tony Cheng Tong, Sirui He, Zhiwen Shao, Dit-Yan Yeung
2024	A*	`conf`	Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. ICLR 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	A*	`conf`	Gaussian Shell Maps for Efficient 3D Human Generation. CVPR Rameen Abdal, Yifan Wang, Zifan Shi, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-Yan Yeung, Gordon Wetzstein
2024	A*	`conf`	GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation. ICLR Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung
2024	J	`jnl`	IRWE: Inductive Random Walk for Joint Inference of Identity and Position Network Embedding. CoRR Meng Qin, Dit-Yan Yeung
2024	J	`jnl`	IRWE: Inductive Random Walk for Joint Inference of Identity and Position Network Embedding. Trans. Mach. Learn. Res. Meng Qin, Dit-Yan Yeung
2024	—	`conf`	Implicit Concept Removal of Diffusion Models. ECCV (21) Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok
2024	—	`conf`	JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation. ECCV (26) Chenhan Jiang, Yihan Zeng, Tianyang Hu, Songcun Xu, Wei Zhang, Hang Xu, Dit-Yan Yeung
2024	J	`jnl`	JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation. CoRR Chenhan Jiang, Yihan Zeng, Tianyang Hu, Songcun Xu, Wei Zhang, Hang Xu, Dit-Yan Yeung
2024	—	`conf`	Learning High-Resolution Vector Representation from Multi-camera Images for 3D Object Detection. ECCV (35) Zhili Chen, Shuangjie Xu, Maosheng Ye, Zian Qian, Xiaoyi Zou, Dit-Yan Yeung, Qifeng Chen
2024	J	`jnl`	Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection. CoRR Zhili Chen, Shuangjie Xu, Maosheng Ye, Zian Qian, Xiaoyi Zou, Dit-Yan Yeung, Qifeng Chen
2024	A*	`conf`	MagicDrive: Street View Generation with Diverse 3D Geometry Control. ICLR Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
2024	A*	`conf`	Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation. KDD Meng Qin, Chaorui Zhang, Yu Gao, Weixi Zhang, Dit-Yan Yeung
2024	J	`jnl`	Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation. CoRR Meng Qin, Chaorui Zhang, Yu Gao, Weixi Zhang, Dit-Yan Yeung
2024	J	`jnl`	Rethinking Targeted Adversarial Attacks For Neural Machine Translation. CoRR Junjie Wu, Lemao Liu, Wei Bi, Dit-Yan Yeung
2024	Misc	`conf`	Rethinking Targeted Adversarial Attacks for Neural Machine Translation. ICASSP Junjie Wu, Lemao Liu, Wei Bi, Dit-Yan Yeung
2024	A*	`conf`	RoboDreamer: Learning Compositional World Models for Robot Imagination. ICML Siyuan Zhou, Yilun Du, Jiaben Chen, Yandong Li, Dit-Yan Yeung, Chuang Gan
2024	J	`jnl`	RoboDreamer: Learning Compositional World Models for Robot Imagination. CoRR Siyuan Zhou, Yilun Du, Jiaben Chen, Yandong Li, Dit-Yan Yeung, Chuang Gan
2024	J	`jnl`	SG-LRA: Self-Generating Automatic Scoliosis Cobb Angle Measurement with Low-Rank Approximation. CoRR Zhiwen Shao, Yichen Yuan, Lizhuang Ma, Dit-Yan Yeung, Xiaojia Zhu
2024	—	`conf`	Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability. EMNLP (Findings) Tsz Ting Chung, Leyang Cui, Lemao Liu, Xinting Huang, Shuming Shi, Dit-Yan Yeung
2024	J	`jnl`	Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability. CoRR Tsz Ting Chung, Leyang Cui, Lemao Liu, Xinting Huang, Shuming Shi, Dit-Yan Yeung
2024	J	`jnl`	Temporal Link Prediction: A Unified Framework, Taxonomy, and Review. ACM Comput. Surv. Meng Qin, Dit-Yan Yeung
2024	J	`jnl`	TransformMix: Learning Transformation and Mixing Strategies from Data. CoRR Tsz-Him Cheung, Dit-Yan Yeung
2024	J	`jnl`	Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models. CoRR Junjie Wu, Tsz Ting Chung, Kai Chen, Dit-Yan Yeung
2023	A*	`conf`	Adaptive Online Replanning with Diffusion Models. NeurIPS Siyuan Zhou, Yilun Du, Shun Zhang, Mengdi Xu, Yikang Shen, Wei Xiao, Dit-Yan Yeung, Chuang Gan
2023	J	`jnl`	Adaptive Online Replanning with Diffusion Models. CoRR Siyuan Zhou, Yilun Du, Shun Zhang, Mengdi Xu, Yikang Shen, Wei Xiao, Dit-Yan Yeung, Chuang Gan
2023	A*	`conf`	CLIP CVPR Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu
2023	J	`jnl`	CLIP CoRR Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu
2023	J	`jnl`	Deep COVID-19 Forecasting for Multiple States with Data Augmentation. CoRR Chung Yan Fong, Dit-Yan Yeung
2023	A	`conf`	Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker. WACV Jeongseok Hyun, Myunggu Kang, Dongyoon Wee, Dit-Yan Yeung
2023	J	`jnl`	Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. CoRR 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
2023	J	`jnl`	Gaussian Shell Maps for Efficient 3D Human Generation. CoRR Rameen Abdal, Wang Yifan, Zifan Shi, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-Yan Yeung, Gordon Wetzstein
2023	J	`jnl`	Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models. CoRR Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok
2023	J	`jnl`	High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation. IEEE Trans. Knowl. Data Eng. Meng Qin, Chaorui Zhang, Bo Bai, Gong Zhang, Dit-Yan Yeung
2023	A*	`conf`	ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation. ICLR Chiu Wai Yan, Tsz-Him Cheung, Dit-Yan Yeung
2023	J	`jnl`	Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt. CoRR Kai Chen, Enze Xie, Zhe Chen, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung
2023	A*	`conf`	Learning 3D-Aware Image Synthesis with Unknown Pose Distribution. CVPR Zifan Shi, Yujun Shen, Yinghao Xu, Sida Peng, Yiyi Liao, Sheng Guo, Qifeng Chen, Dit-Yan Yeung
2023	J	`jnl`	Learning 3D-aware Image Synthesis with Unknown Pose Distribution. CoRR Zifan Shi, Yujun Shen, Yinghao Xu, Sida Peng, Yiyi Liao, Sheng Guo, Qifeng Chen, Dit-Yan Yeung
2023	J	`jnl`	MagicDrive: Street View Generation with Diverse 3D Geometry Control. CoRR Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
2023	A*	`conf`	Mixed Autoencoder for Self-Supervised Visual Representation Learning. CVPR Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
2023	J	`jnl`	Mixed Autoencoder for Self-supervised Visual Representation Learning. CoRR Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
2023	J	`jnl`	Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning. CoRR Yunhao Gou, Zhili Liu, Kai Chen, Lanqing Hong, Hang Xu, Aoxue Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2023	J	`jnl`	SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification. CoRR Junjie Wu, Dit-Yan Yeung
2023	A*	`conf`	SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation. ICCV Xuechao Chen, Shuangjie Xu, Xiaoyi Zou, Tongyi Cao, Dit-Yan Yeung, Lu Fang
2023	J	`jnl`	SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation. CoRR Xuechao Chen, Shuangjie Xu, Xiaoyi Zou, Tongyi Cao, Dit-Yan Yeung, Lu Fang
2023	—	`conf`	SongRewriter: A Chinese Song Rewriting System with Controllable Content and Rhyme Scheme. ACL (Findings) Yusen Sun, Liangyou Li, Qun Liu, Dit-Yan Yeung
2023	—	`conf`	Towards General Error Diagnosis via Behavioral Testing in Machine Translation. EMNLP (Findings) Junjie Wu, Lemao Liu, Dit-Yan Yeung
2023	J	`jnl`	Towards General Error Diagnosis via Behavioral Testing in Machine Translation. CoRR Junjie Wu, Lemao Liu, Dit-Yan Yeung
2023	—	`conf`	Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture. ACL (Findings) Xinran Zhao, Esin Durmus, Dit-Yan Yeung
2023	J	`jnl`	Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs. ACM Trans. Knowl. Discov. Data Meng Qin, Chaorui Zhang, Bo Bai, Gong Zhang, Dit-Yan Yeung
2023	J	`jnl`	TrackDiffusion: Multi-object Tracking Data Generation via Diffusion Models. CoRR Pengxiang Li, Zhili Liu, Kai Chen, Lanqing Hong, Yunzhi Zhuge, Dit-Yan Yeung, Huchuan Lu, Xu Jia
2022	—	`conf`	3D-Aware Indoor Scene Synthesis with Depth Priors. ECCV (16) Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, Qifeng Chen
2022	J	`jnl`	3D-Aware Indoor Scene Synthesis with Depth Priors. CoRR Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, Qifeng Chen
2022	A*	`conf`	AdaAug: Learning Class- and Instance-adaptive Data Augmentation Policies. ICLR Tsz-Him Cheung, Dit-Yan Yeung
2022	—	`conf`	CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. ECCV (38) 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	J	`jnl`	CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. CoRR 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	—	`conf`	Controlled Text Generation Using Dictionary Prior in Variational Autoencoders. ACL (Findings) Xianghong Fang, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Dit-Yan Yeung
2022	J	`jnl`	Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker. CoRR Jeongseok Hyun, Myunggu Kang, Dongyoon Wee, Dit-Yan Yeung
2022	A*	`conf`	Earthformer: Exploring Space-Time Transformers for Earth System Forecasting. NeurIPS Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung
2022	J	`jnl`	Earthformer: Exploring Space-Time Transformers for Earth System Forecasting. CoRR Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung
2022	A*	`conf`	Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator. NeurIPS Zifan Shi, Yinghao Xu, Yujun Shen, Deli Zhao, Qifeng Chen, Dit-Yan Yeung
2022	J	`jnl`	Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator. CoRR Zifan Shi, Yinghao Xu, Yujun Shen, Deli Zhao, Qifeng Chen, Dit-Yan Yeung
2022	J	`jnl`	SongRewriter: A Chinese Song Rewriting System with Controllable Content and Rhyme Scheme. CoRR Yusen Sun, Liangyou Li, Qun Liu, Dit-Yan Yeung
2022	J	`jnl`	Temporal Link Prediction: A Unified Framework, Taxonomy, and Review. CoRR Meng Qin, Dit-Yan Yeung
2022	J	`jnl`	Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs. CoRR Meng Qin, Chaorui Zhang, Bo Bai, Gong Zhang, Dit-Yan Yeung
2021	J	`jnl`	A Survey on Bayesian Deep Learning. ACM Comput. Surv. Hao Wang, Dit-Yan Yeung
2021	A	`conf`	Clickstream Knowledge Tracing: Modeling How Students Answer Interactive Online Questions. LAK Wai-Lun Chan, Dit-Yan Yeung
2021	A*	`conf`	MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space. ICLR Tsz-Him Cheung, Dit-Yan Yeung
2021	A*	`conf`	MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. ICCV Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
2021	J	`jnl`	MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. CoRR Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
2021	—	`conf`	Probing Toxic Content in Large Pre-Trained Language Models. ACL/IJCNLP (1) Nedjma Ousidhoum, Xinran Zhao, Tianqing Fang, Yangqiu Song, Dit-Yan Yeung
2021	A	`conf`	Stereo Waterdrop Removal with Row-wise Dilated Attention. IROS Zifan Shi, Na Fan, Dit-Yan Yeung, Qifeng Chen
2021	J	`jnl`	Stereo Waterdrop Removal with Row-wise Dilated Attention. CoRR Zifan Shi, Na Fan, Dit-Yan Yeung, Qifeng Chen
2020	—	`conf`	Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets. EMNLP (1) Nedjma Ousidhoum, Yangqiu Song, Dit-Yan Yeung
2019	A	`conf`	Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses. LAK Mucong Ding, Kai Yang, Dit-Yan Yeung, Ting-Chuen Pong
2019	J	`jnl`	Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues. CoRR Ting Sun, Lei Tai, Zhihan Gao, Ming Liu, Dit-Yan Yeung
2019	J	`jnl`	Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction. Int. J. Artif. Intell. Educ. Chun-Kit Yeung, Dit-Yan Yeung
2019	A	`conf`	Knowledge Query Network for Knowledge Tracing: How Knowledge Interacts with Skills. LAK Jinseok Lee, Dit-Yan Yeung
2019	J	`jnl`	Knowledge Query Network: How Knowledge Interacts with Skills. CoRR Jinseok Lee, Dit-Yan Yeung
2019	—	`conf`	Marginalized Average Attentional Network for Weakly-Supervised Learning. ICLR (Poster) Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung
2019	J	`jnl`	Marginalized Average Attentional Network for Weakly-Supervised Learning. CoRR Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung
2019	J	`jnl`	Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation. CoRR Ting Sun, Yuxiang Sun, Ming Liu, Dit-Yan Yeung
2019	—	`conf`	Multilingual and Multi-Aspect Hate Speech Analysis. EMNLP/IJCNLP (1) Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung
2019	J	`jnl`	Multilingual and Multi-Aspect Hate Speech Analysis. CoRR Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung
2019	C	`conf`	Semi-semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments. ICVS Ting Sun, Dezhen Song, Dit-Yan Yeung, Ming Liu
2018	J	`jnl`	Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization. CoRR Chun-Kit Yeung, Dit-Yan Yeung
2018	B	`conf`	Addressing two problems in deep knowledge tracing via prediction-consistent regularization. L@S Chun-Kit Yeung, Dit-Yan Yeung
2018	J	`jnl`	Coupled Recurrent Network (CRN). CoRR Lin Sun, Kui Jia, Yuejia Shen, Silvio Savarese, Dit-Yan Yeung, Bertram E. Shi
2018	J	`jnl`	Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses. CoRR Mucong Ding, Kai Yang, Dit-Yan Yeung, Ting-Chuen Pong
2018	A	`conf`	GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. UAI Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung
2018	J	`jnl`	GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. CoRR Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung
2018	J	`jnl`	Gesture-based Piloting of an Aerial Robot using Monocular Vision. CoRR Ting Sun, Shengyi Nie, Dit-Yan Yeung, Shaojie Shen
2018	J	`jnl`	Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction. CoRR Chun-Kit Yeung, Zizheng Lin, Kai Yang, Dit-Yan Yeung
2018	—	`conf`	Learning Accurate Objectness Instance Segmentation from Photorealistic Rendering for Robotic Manipulation. ISER Siyi Li, Jiaji Zhou, Zhenzhong Jia, Dit-Yan Yeung, Matthew T. Mason
2018	A*	`conf`	Learning Unmanned Aerial Vehicle Control for Autonomous Target Following. IJCAI Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen
2018	J	`jnl`	Machine Learning for Spatiotemporal Sequence Forecasting: A Survey. CoRR Xingjian Shi, Dit-Yan Yeung
2018	J	`jnl`	Point-cloud-based place recognition using CNN feature extraction. CoRR Ting Sun, Ming Liu, Haoyang Ye, Dit-Yan Yeung
2018	J	`jnl`	Semi-Semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments. CoRR Ting Sun, Dezhen Song, Dit-Yan Yeung, Ming Liu
2017	—	`conf`	Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model. NIPS Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo
2017	J	`jnl`	Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model. CoRR Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo
2017	A*	`conf`	Dynamic Key-Value Memory Networks for Knowledge Tracing. WWW Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung
2017	J	`jnl`	Fine-Grained Categorization via CNN-Based Automatic Extraction and Integration of Object-Level and Part-Level Features. CoRR Ting Sun, Lin Sun, Dit-Yan Yeung
2017	J	`jnl`	Fine-grained categorization via CNN-based automatic extraction and integration of object-level and part-level features. Image Vis. Comput. Ting Sun, Lin Sun, Dit-Yan Yeung
2017	A*	`conf`	Gesture-based piloting of an aerial robot using monocular vision. ICRA Ting Sun, Shengyi Nie, Dit-Yan Yeung, Shaojie Shen
2017	—	`conf`	Keynote: Bayesian Deep Learning Models for Recommendation Applications. DLRS@RecSys Dit-Yan Yeung
2017	A*	`conf`	Lattice Long Short-Term Memory for Human Action Recognition. ICCV Lin Sun, Kui Jia, Kevin Chen, Dit-Yan Yeung, Bertram E. Shi, Silvio Savarese
2017	J	`jnl`	Lattice Long Short-Term Memory for Human Action Recognition. CoRR Lin Sun, Kui Jia, Kevin Chen, Dit-Yan Yeung, Bertram E. Shi, Silvio Savarese
2017	J	`jnl`	Learning Unmanned Aerial Vehicle Control for Autonomous Target Following. CoRR Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen
2017	A*	`conf`	Relational Deep Learning: A Deep Latent Variable Model for Link Prediction. AAAI Hao Wang, Xingjian Shi, Dit-Yan Yeung
2017	A*	`conf`	Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. AAAI Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen
2017	A*	`conf`	Spatiotemporal Modeling for Crowd Counting in Videos. ICCV Feng Xiong, Xingjian Shi, Dit-Yan Yeung
2017	J	`jnl`	Spatiotemporal Modeling for Crowd Counting in Videos. CoRR Feng Xiong, Xingjian Shi, Dit-Yan Yeung
2017	A*	`conf`	Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection. ICCV Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta
2017	J	`jnl`	Temporal Dynamic Graph LSTM for Action-driven Video Object Detection. CoRR Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta
2017	A*	`conf`	Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models. AAAI Siyi Li, Dit-Yan Yeung
2017	J	`jnl`	ZM-Net: Real-time Zero-shot Image Manipulation Network. CoRR Hao Wang, Xiaodan Liang, Hao Zhang, Dit-Yan Yeung, Eric P. Xing
2016	—	`conf`	Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks. NIPS Hao Wang, Xingjian Shi, Dit-Yan Yeung
2016	J	`jnl`	Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks. CoRR Hao Wang, Xingjian Shi, Dit-Yan Yeung
2016	J	`jnl`	Dynamic Key-Value Memory Network for Knowledge Tracing. CoRR Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung
2016	—	`conf`	Natural-Parameter Networks: A Class of Probabilistic Neural Networks. NIPS Hao Wang, Xingjian Shi, Dit-Yan Yeung
2016	J	`jnl`	Natural-Parameter Networks: A Class of Probabilistic Neural Networks. CoRR Hao Wang, Xingjian Shi, Dit-Yan Yeung
2016	J	`jnl`	Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. CoRR Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen
2016	J	`jnl`	Spectral Multimodal Hashing and Its Application to Multimedia Retrieval. IEEE Trans. Cybern. Yi Zhen, Yue Gao, Dit-Yan Yeung, Hongyuan Zha, Xuelong Li
2016	—	`conf`	The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 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
2016	J	`jnl`	Towards Bayesian Deep Learning: A Framework and Some Existing Methods. CoRR Hao Wang, Dit-Yan Yeung
2016	J	`jnl`	Towards Bayesian Deep Learning: A Framework and Some Existing Methods. IEEE Trans. Knowl. Data Eng. Hao Wang, Dit-Yan Yeung
2016	J	`jnl`	Towards Bayesian Deep Learning: A Survey. CoRR Hao Wang, Dit-Yan Yeung
2015	A*	`conf`	Bayesian adaptive matrix factorization with automatic model selection. CVPR Peixian Chen, Naiyan Wang, Nevin L. Zhang, Dit-Yan Yeung
2015	A*	`conf`	Collaborative Deep Learning for Recommender Systems. KDD Hao Wang, Naiyan Wang, Dit-Yan Yeung
2015	—	`conf`	Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting. NIPS Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo
2015	J	`jnl`	Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting. CoRR Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo
2015	A*	`conf`	DevNet: A Deep Event Network for multimedia event detection and evidence recounting. CVPR Chuang Gan, Naiyan Wang, Yi Yang, Dit-Yan Yeung, Alexander G. Hauptmann
2015	A*	`conf`	Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks. ICCV Lin Sun, Kui Jia, Dit-Yan Yeung, Bertram E. Shi
2015	J	`jnl`	Human Action Recognition using Factorized Spatio-Temporal Convolutional Networks. CoRR Lin Sun, Kui Jia, Dit-Yan Yeung, Bertram E. Shi
2015	J	`jnl`	Instance-specific canonical correlation analysis. Neurocomputing Deming Zhai, Yu Zhang, Dit-Yan Yeung, Hong Chang, Xilin Chen, Wen Gao
2015	A*	`conf`	Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs. AAAI Fei Mi, Dit-Yan Yeung
2015	A*	`conf`	Relational Stacked Denoising Autoencoder for Tag Recommendation. AAAI Hao Wang, Xingjian Shi, Dit-Yan Yeung
2015	—	`conf`	Temporal Models for Predicting Student Dropout in Massive Open Online Courses. ICDM Workshops Mi Fei, Dit-Yan Yeung
2015	J	`jnl`	Transferring Rich Feature Hierarchies for Robust Visual Tracking. CoRR Naiyan Wang, Siyi Li, Abhinav Gupta, Dit-Yan Yeung
2015	A*	`conf`	Understanding and Diagnosing Visual Tracking Systems. ICCV Naiyan Wang, Jianping Shi, Dit-Yan Yeung, Jiaya Jia
2015	J	`jnl`	Understanding and Diagnosing Visual Tracking Systems. CoRR Naiyan Wang, Jianping Shi, Dit-Yan Yeung, Jiaya Jia
2014	J	`jnl`	Collaborative Deep Learning for Recommender Systems. CoRR Hao Wang, Naiyan Wang, Dit-Yan Yeung
2014	A*	`conf`	Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data. ICML Naiyan Wang, Dit-Yan Yeung
2014	J	`jnl`	Multicategory large margin classification methods: Hinge losses vs. coherence functions. Artif. Intell. Zhihua Zhang, Cheng Chen, Guang Dai, Wu-Jun Li, Dit-Yan Yeung
2013	J	`jnl`	A Regularization Approach to Learning Task Relationships in Multitask Learning. ACM Trans. Knowl. Discov. Data Yu Zhang, Dit-Yan Yeung
2013	J	`jnl`	Active hashing and its application to image and text retrieval. Data Min. Knowl. Discov. Yi Zhen, Dit-Yan Yeung
2013	A*	`conf`	Bayesian Robust Matrix Factorization for Image and Video Processing. ICCV Naiyan Wang, Dit-Yan Yeung
2013	A*	`conf`	Learning High-Order Task Relationships in Multi-Task Learning. IJCAI Yu Zhang, Dit-Yan Yeung
2013	—	`conf`	Learning a Deep Compact Image Representation for Visual Tracking. NIPS Naiyan Wang, Dit-Yan Yeung
2013	J	`jnl`	Multilabel relationship learning. ACM Trans. Knowl. Discov. Data Yu Zhang, Dit-Yan Yeung
2013	A*	`conf`	Online Robust Non-negative Dictionary Learning for Visual Tracking. ICCV Naiyan Wang, Jingdong Wang, Dit-Yan Yeung
2013	A*	`conf`	SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering. IJCAI Jianping Shi, Naiyan Wang, Yang Xia, Dit-Yan Yeung, Irwin King, Jiaya Jia
2012	J	`jnl`	A Convex Formulation for Learning Task Relationships in Multi-Task Learning CoRR Yu Zhang, Dit-Yan Yeung
2012	—	`conf`	A Probabilistic Approach to Robust Matrix Factorization. ECCV (7) Naiyan Wang, Tiansheng Yao, Jingdong Wang, Dit-Yan Yeung
2012	A*	`conf`	A probabilistic model for multimodal hash function learning. KDD Yi Zhen, Dit-Yan Yeung
2012	—	`conf`	Co-Regularized Hashing for Multimodal Data. NIPS Yi Zhen, Dit-Yan Yeung
2012	J	`jnl`	Multi-Domain Collaborative Filtering CoRR Yu Zhang, Bin Cao, Dit-Yan Yeung
2012	—	`conf`	Multi-Task Boosting by Exploiting Task Relationships. ECML/PKDD (1) Yu Zhang, Dit-Yan Yeung
2012	A*	`conf`	Overlapping community detection via bounded nonnegative matrix tri-factorization. KDD Yu Zhang, Dit-Yan Yeung
2012	J	`jnl`	Solution Path for Manifold Regularized Semisupervised Classification. IEEE Trans. Syst. Man Cybern. Part B Gang Wang, Fei Wang, Tao Chen, Dit-Yan Yeung, Frederick H. Lochovsky
2012	A*	`conf`	Sparse Probabilistic Relational Projection. AAAI Wu-Jun Li, Dit-Yan Yeung
2012	A*	`conf`	Supervised Probabilistic Robust Embedding with Sparse Noise. AAAI Yu Zhang, Dit-Yan Yeung, Eric P. Xing
2012	J	`jnl`	Transfer Metric Learning with Semi-Supervised Extension. ACM Trans. Intell. Syst. Technol. Yu Zhang, Dit-Yan Yeung
2011	A*	`conf`	A Convex Formulation of Modularity Maximization for Community Detection. IJCAI Emprise Y. K. Chan, Dit-Yan Yeung
2011	—	`conf`	Discriminative Experimental Design. ECML/PKDD (3) Yu Zhang, Dit-Yan Yeung
2011	A*	`conf`	Generalized Latent Factor Models for Social Network Analysis. IJCAI Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang
2011	A*	`conf`	Multi-Task Learning in Heterogeneous Feature Spaces. AAAI Yu Zhang, Dit-Yan Yeung
2011	J	`jnl`	Semisupervised Generalized Discriminant Analysis. IEEE Trans. Neural Networks Yu Zhang, Dit-Yan Yeung
2011	A*	`conf`	Social Relations Model for Collaborative Filtering. AAAI Wu-Jun Li, Dit-Yan Yeung
2010	A	`conf`	A Convex Formulation for Learning Task Relationships in Multi-Task Learning. UAI Yu Zhang, Dit-Yan Yeung
2010	J	`jnl`	A regularization framework for multiclass classification: A deterministic annealing approach. Pattern Recognit. Zhihua Zhang, Gang Wang, Dit-Yan Yeung, Guang Dai, Frederick H. Lochovsky
2010	A*	`conf`	Adaptive Transfer Learning. AAAI Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung, Qiang Yang
2010	A*	`conf`	Gaussian Process Latent Random Field. AAAI Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu
2010	J	`jnl`	MILD: Multiple-Instance Learning via Disambiguation. IEEE Trans. Knowl. Data Eng. Wu-Jun Li, Dit-Yan Yeung
2010	A	`conf`	Multi-Domain Collaborative Filtering. UAI Yu Zhang, Bin Cao, Dit-Yan Yeung
2010	A	`conf`	Multi-Task Learning using Generalized t Process. AISTATS Yu Zhang, Dit-Yan Yeung
2010	A*	`conf`	Multi-task warped Gaussian process for personalized age estimation. CVPR Yu Zhang, Dit-Yan Yeung
2010	—	`conf`	Probabilistic Multi-Task Feature Selection. NIPS Yu Zhang, Dit-Yan Yeung, Qian Xu
2010	A*	`conf`	SED: supervised experimental design and its application to text classification. SIGIR Yi Zhen, Dit-Yan Yeung
2010	A*	`conf`	Transductive Learning on Adaptive Graphs. AAAI Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou
2010	A*	`conf`	Transfer metric learning by learning task relationships. KDD Yu Zhang, Dit-Yan Yeung
2010	—	`conf`	Worst-Case Linear Discriminant Analysis. NIPS Yu Zhang, Dit-Yan Yeung
2009	A	`conf`	Coherence Functions for Multicategory Margin-based Classification Methods. AISTATS Zhihua Zhang, Michael I. Jordan, Wu-Jun Li, Dit-Yan Yeung
2009	—	`conf`	Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension. ECML/PKDD (2) Yu Zhang, Dit-Yan Yeung
2009	A	`conf`	Latent Wishart Processes for Relational Kernel Learning. AISTATS Wu-Jun Li, Zhihua Zhang, Dit-Yan Yeung
2009	A*	`conf`	Localized content-based image retrieval through evidence region identification. CVPR Wu-Jun Li, Dit-Yan Yeung
2009	—	`conf`	Probabilistic Relational PCA. NIPS Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang
2009	A*	`conf`	Relation Regularized Matrix Factorization. IJCAI Wu-Jun Li, Dit-Yan Yeung
2009	—	`conf`	Semi-Supervised Multi-Task Regression. ECML/PKDD (2) Yu Zhang, Dit-Yan Yeung
2009	A	`conf`	TagiCoFi: tag informed collaborative filtering. RecSys Yi Zhen, Wu-Jun Li, Dit-Yan Yeung
2008	J	`jnl`	A New Solution Path Algorithm in Support Vector Regression. IEEE Trans. Neural Networks Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky
2008	J	`jnl`	A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability. Neural Comput. Dit-Yan Yeung, Hong Chang, Guang Dai
2008	A*	`conf`	Human action recognition using Local Spatio-Temporal Discriminant Embedding. CVPR Kui Jia, Dit-Yan Yeung
2008	—	`conf`	Learning Two-View Stereo Matching. ECCV (3) Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Quan
2008	—	`conf`	Posterior Consistency of the Silverman g-prior in Bayesian Model Choice. NIPS Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung
2008	J	`jnl`	Robust path-based spectral clustering. Pattern Recognit. Hong Chang, Dit-Yan Yeung
2008	A*	`conf`	Semi-Supervised Discriminant Analysis using robust path-based similarity. CVPR Yu Zhang, Dit-Yan Yeung
2008	—	`conf`	Semi-supervised Discriminant Analysis Via CCCP. ECML/PKDD (2) Yu Zhang, Dit-Yan Yeung
2008	—	`conf`	Structuring Visual Words in 3D for Arbitrary-View Object Localization. ECCV (3) Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Quan
2007	J	`jnl`	A Kernel Approach for Semisupervised Metric Learning. IEEE Trans. Neural Networks Dit-Yan Yeung, Hong Chang
2007	A*	`conf`	A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning. IJCAI Dit-Yan Yeung, Hong Chang, Guang Dai
2007	A*	`conf`	A kernel path algorithm for support vector machines. ICML Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky
2007	A*	`conf`	Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data. IJCAI Guang Dai, Dit-Yan Yeung
2007	J	`jnl`	Face recognition using a kernel fractional-step discriminant analysis algorithm. Pattern Recognit. Guang Dai, Dit-Yan Yeung, Yuntao Qian
2007	A*	`conf`	Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds. CVPR Wei Fan, Dit-Yan Yeung
2007	A*	`conf`	Kernel selection forl semi-supervised kernel machines. ICML Guang Dai, Dit-Yan Yeung
2007	J	`jnl`	Kernel-based distance metric learning for content-based image retrieval. Image Vis. Comput. Hong Chang, Dit-Yan Yeung
2007	J	`jnl`	Learning the kernel matrix by maximizing a KFD-based class separability criterion. Pattern Recognit. Dit-Yan Yeung, Hong Chang, Guang Dai
2007	A*	`conf`	Locally Smooth Metric Learning with Application to Image Retrieval. ICCV Dit-Yan Yeung, Hong Chang
2007	—	`conf`	Semi-supervised Cast Indexing for Feature-Length Films. MMM (1) Wei Fan, Tao Wang, Jean-Yves Bouguet, Wei Hu, Yimin Zhang, Dit-Yan Yeung
2007	J	`jnl`	Surrogate maximization/minimization algorithms and extensions. Mach. Learn. Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
2007	A	`conf`	The Kernel Path in Kernelized LASSO. AISTATS Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky
2006	—	`conf`	A Coordinated Detection and Response Scheme for Distributed Denial-of-Service Attacks. ICC Ho-Yu Lam, Chi-Pan Li, Samuel T. Chanson, Dit-Yan Yeung
2006	A*	`conf`	A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking. AAAI Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung
2006	—	`conf`	Defending Against TCP SYN Flooding Attacks Under Different Types of IP Spoofing. ICN/ICONS/MCL Wei Chen, Dit-Yan Yeung
2006	—	`conf`	Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion. ECCV (4) Guang Dai, Dit-Yan Yeung, Hong Chang
2006	J	`jnl`	Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints. Pattern Recognit. Dit-Yan Yeung, Hong Chang
2006	—	`conf`	Face Recognition with Image Sets Using Hierarchically Extracted Exemplars from Appearance Manifolds. FGR Wei Fan, Dit-Yan Yeung
2006	B	`conf`	Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features. ICIP Shu Liao, Wei Fan, Albert C. S. Chung, Dit-Yan Yeung
2006	—	`conf`	Graph Laplacian Kernels for Object Classification from a Single Example. CVPR (2) Hong Chang, Dit-Yan Yeung
2006	J	`jnl`	Intrusion Detection Routers: Design, Implementation and Evaluation Using an Experimental Testbed. IEEE J. Sel. Areas Commun. 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, W. C. Lau, Kevin K. H. Pun, Anthony Y. F. Tsang, Wai Wan Tsang, Sam C. W. Tso, Dit-Yan Yeung, Siu-Ming Yiu, Kwun Yin Yu, W. Ju
2006	B	`conf`	Local Discriminant Embedding with Tensor Representation. ICIP Jian Xia, Dit-Yan Yeung, Guang Dai
2006	—	`conf`	Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification. CVPR (2) Wei Fan, Dit-Yan Yeung
2006	J	`jnl`	Locally linear metric adaptation with application to semi-supervised clustering and image retrieval. Pattern Recognit. Hong Chang, Dit-Yan Yeung
2006	J	`jnl`	Model-based transductive learning of the kernel matrix. Mach. Learn. Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
2006	J	`jnl`	Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval. Pattern Recognit. Hong Chang, Dit-Yan Yeung, William K. Cheung
2006	J	`jnl`	Robust locally linear embedding. Pattern Recognit. Hong Chang, Dit-Yan Yeung
2006	A*	`conf`	Solution Path for Semi-Supervised Classification with Manifold Regularization. ICDM Gang Wang, Tao Chen, Dit-Yan Yeung, Frederick H. Lochovsky
2006	—	`ed.`	Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006, Proceedings SSPR/SPR Dit-Yan Yeung, James T. Kwok, Ana L. N. Fred, Fabio Roli, Dick de Ridder
2006	A*	`conf`	Tensor Embedding Methods. AAAI Guang Dai, Dit-Yan Yeung
2006	J	`jnl`	Throttling spoofed SYN flooding traffic at the source. Telecommun. Syst. Wei Chen, Dit-Yan Yeung
2006	A*	`conf`	Two-dimensional solution path for support vector regression. ICML Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky
2005	Misc	`conf`	Kernel-Based Metric Adaptation with Pairwise Constraints. ICMLC Hong Chang, Dit-Yan Yeung
2005	—	`conf`	Nonlinear dimensionality reduction for classification using kernel weighted subspace method. ICIP (2) Guang Dai, Dit-Yan Yeung
2005	A*	`conf`	Robust Path-Based Spectral Clustering with Application to Image Segmentation. ICCV Hong Chang, Dit-Yan Yeung
2005	A	`conf`	Stepwise Metric Adaptation Based on Semi-Supervised Learning for Boosting Image Retrieval Performance. BMVC Hong Chang, Dit-Yan Yeung
2004	A*	`conf`	Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo. AAAI Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan Yeung
2004	A*	`conf`	Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm. ICML Zhihua Zhang, Dit-Yan Yeung, James T. Kwok
2004	—	`conf`	IDR: An Intrusion Detection Router for Defending against Distributed Denial-of-Service (DDoS) Attacks. ISPAN 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, Kevin K. H. Pun, Anthony Y. F. Tsang, Wai Wan Tsang, Sam C. W. Tso, Dit-Yan Yeung, Kwun Yin Yu
2004	A*	`conf`	Locally linear metric adaptation for semi-supervised clustering. ICML Hong Chang, Dit-Yan Yeung
2004	Misc	`conf`	Reinforcement Learning in Episodic Non-stationary Markovian Environments. IC-AI Samuel P. M. Choi, Nevin Lianwen Zhang, Dit-Yan Yeung
2004	—	`conf`	SVC2004: First International Signature Verification Competition. ICBA Dit-Yan Yeung, Hong Chang, Yimin Xiong, Susan E. George, Ramanujan S. Kashi, Takashi Matsumoto, Gerhard Rigoll
2004	—	`conf`	Super-Resolution through Neighbor Embedding. CVPR (1) Hong Chang, Dit-Yan Yeung, Yimin Xiong
2004	A*	`conf`	Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model. ICML Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
2004	J	`jnl`	Time series clustering with ARMA mixtures. Pattern Recognit. Yimin Xiong, Dit-Yan Yeung
2003	J	`jnl`	Host-based intrusion detection using dynamic and static behavioral models. Pattern Recognit. Dit-Yan Yeung, Yuxin Ding
2003	A*	`conf`	Parametric Distance Metric Learning with Label Information. IJCAI Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
2002	J	`jnl`	Bidirectional Deformable Matching with Application to Handwritten Character Extraction. IEEE Trans. Pattern Anal. Mach. Intell. Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin
2002	A*	`conf`	Mixtures of ARMA Models for Model-Based Time Series Clustering. ICDM Yimin Xiong, Dit-Yan Yeung
2002	J	`jnl`	On deformable models for visual pattern recognition. Pattern Recognit. Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin
2002	—	`conf`	Parzen-Window Network Intrusion Detectors. ICPR (4) Dit-Yan Yeung, Calvin Chow
2002	B	`conf`	User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models. PAKDD Dit-Yan Yeung, Yuxin Ding
2001	J	`jnl`	Error detection, error correction and performance evaluation in on-line mathematical expression recognition. Pattern Recognit. Kam-Fai Chan, Dit-Yan Yeung
2001	—	`conf`	Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making. Sequence Learning Samuel P. M. Choi, Dit-Yan Yeung, Nevin Lianwen Zhang
2001	A	`conf`	PenCalc: A Novel Application of On-Line Mathematical Expression Recognition Technology. ICDAR Kam-Fai Chan, Dit-Yan Yeung
2001	A	`conf`	Solving Hidden-Mode Markov Decision Problems. AISTATS Samuel Ping-Man Choi, Nevin Lianwen Zhang, Dit-Yan Yeung
2000	J	`jnl`	An efficient syntactic approach to structural analysis of on-line handwritten mathematical expressions. Pattern Recognit. Kam-Fai Chan, Dit-Yan Yeung
2000	J	`jnl`	Mathematical expression recognition: a survey. Int. J. Document Anal. Recognit. Kam-Fai Chan, Dit-Yan Yeung
1999	A*	`conf`	A Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval. ICCV Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin
1999	—	`conf`	An Environment Model for Nonstationary Reinforcement Learning. NIPS Samuel P. M. Choi, Dit-Yan Yeung, Nevin Lianwen Zhang
1999	J	`jnl`	Recognizing on-line handwritten alphanumeric characters through flexible structural matching. Pattern Recognit. Kam-Fai Chan, Dit-Yan Yeung
1998	J	`jnl`	A Bayesian Framework for Deformable Pattern Recognition With Application to Handwritten Character Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin
1998	B	`conf`	Elastic structural matching for online handwritten alphanumeric character recognition. ICPR Kam-Fai Chan, Dit-Yan Yeung
1998	—	`conf`	Towards Efficient Structural Analysis of Mathematical Expressions. SSPR/SPR Kam-Fai Chan, Dit-Yan Yeung
1997	J	`jnl`	Constructive algorithms for structure learning in feedforward neural networks for regression problems. IEEE Trans. Neural Networks James Tin-Yau Kwok, Dit-Yan Yeung
1997	J	`jnl`	Objective functions for training new hidden units in constructive neural networks. IEEE Trans. Neural Networks James Tin-Yau Kwok, Dit-Yan Yeung
1997	J	`jnl`	On-line handwritten alphanumeric character recognition using dominant points in strokes. Pattern Recognit. Xiaolin Li, Dit-Yan Yeung
1996	C	`conf`	Bayesian Regularization in Constructive Neural Networks. ICANN James Tin-Yau Kwok, Dit-Yan Yeung
1996	A*	`conf`	Competitive Mixture of Deformable Models for Pattern Classification. CVPR Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin
1996	J	`jnl`	Use of bias term in projection pursuit learning improves approximation and convergence properties. IEEE Trans. Neural Networks James Tin-Yau Kwok, Dit-Yan Yeung
1995	A	`conf`	A grammatical inference approach to on-line handwriting modeling and recognition: a pilot study. ICDAR Dit-Yan Yeung
1995	—	`conf`	Efficient cross-validation for feedforward neural networks. ICNN James Tin-Yau Kwok, Dit-Yan Yeung
1995	J	`jnl`	Improving the approximation and convergence capabilities of projection pursuit learning. Neural Process. Lett. James Tin-Yau Kwok, Dit-Yan Yeung
1995	—	`conf`	On-Line Handwritten Alphanumeric Character Recognition Using Feature Sequences. ICSC Xiaolin Li, Dit-Yan Yeung
1995	—	`conf`	Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic Control. NIPS Samuel P. M. Choi, Dit-Yan Yeung
1993	J	`jnl`	Constructive neural networks as estimators of bayesian discriminant functions. Pattern Recognit. Dit-Yan Yeung
1993	—	`conf`	Experimental analysis of input weight freezing in constructive neural networks. ICNN James Tin-Yau Kwok, Dit-Yan Yeung
1993	J	`jnl`	On reducing learning time in context-dependent mappings. IEEE Trans. Neural Networks Dit-Yan Yeung, George A. Bekey
1991	—	`conf`	A Neural Network Approach to Constructive Induction. ML Dit-Yan Yeung
1989	A*	`conf`	Using a context-sensitive learning for robot arm control. ICRA Dit-Yan Yeung, George A. Gekey
1987	A*	`conf`	A decentralized approach to the motion planning problem for multiple mobile robots. ICRA Dit-Yan Yeung, George A. Bekey