Dit-Yan Yeung

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 119

Top Venues

Publications

Meng Qin, Dit-Yan Yeung
IRWE: Inductive Random Walk for Joint Inference of Identity and Position Network Embedding. CoRR (2024)
Meng Qin, Dit-Yan Yeung
Temporal Link Prediction: A Unified Framework, Taxonomy, and Review. ACM Comput. Surv. 56 (4) (2024)
Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
Mixed Autoencoder for Self-Supervised Visual Representation Learning. CVPR (2023)
Junjie Wu, Lemao Liu, Dit-Yan Yeung
Towards General Error Diagnosis via Behavioral Testing in Machine Translation. CoRR (2023)
Chiu Wai Yan, Tsz-Him Cheung, Dit-Yan Yeung
ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation. ICLR (2023)
Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok
Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models. CoRR (2023)
Rameen Abdal, Wang Yifan, Zifan Shi, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-Yan Yeung, Gordon Wetzstein
Gaussian Shell Maps for Efficient 3D Human Generation. CoRR (2023)
Kai Chen, Enze Xie, Zhe Chen, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung
Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt. CoRR (2023)
Chung Yan Fong, Dit-Yan Yeung
Deep COVID-19 Forecasting for Multiple States with Data Augmentation. CoRR (2023)
Junjie Wu, Dit-Yan Yeung
SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification. CoRR (2023)
Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu
: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data. CVPR (2023)
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
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. CoRR (2023)
Zifan Shi, Yujun Shen, Yinghao Xu, Sida Peng, Yiyi Liao, Sheng Guo, Qifeng Chen, Dit-Yan Yeung
Learning 3D-aware Image Synthesis with Unknown Pose Distribution. CoRR (2023)
Xinran Zhao, Esin Durmus, Dit-Yan Yeung
Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture. ACL (Findings) (2023)
Yunhao Gou, Zhili Liu, Kai Chen, Lanqing Hong, Hang Xu, Aoxue Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning. CoRR (2023)
Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
Mixed Autoencoder for Self-supervised Visual Representation Learning. CoRR (2023)
Pengxiang Li, Zhili Liu, Kai Chen, Lanqing Hong, Yunzhi Zhuge, Dit-Yan Yeung, Huchuan Lu, Xu Jia
TrackDiffusion: Multi-object Tracking Data Generation via Diffusion Models. CoRR (2023)
Jeongseok Hyun, Myunggu Kang, Dongyoon Wee, Dit-Yan Yeung
Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker. WACV (2023)
Xuechao Chen, Shuangjie Xu, Xiaoyi Zou, Tongyi Cao, Dit-Yan Yeung, Lu Fang
SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation. ICCV (2023)
Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu
: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data. CoRR (2023)
Yusen Sun, Liangyou Li, Qun Liu, Dit-Yan Yeung
SongRewriter: A Chinese Song Rewriting System with Controllable Content and Rhyme Scheme. ACL (Findings) (2023)
Siyuan Zhou, Yilun Du, Shun Zhang, Mengdi Xu, Yikang Shen, Wei Xiao, Dit-Yan Yeung, Chuang Gan
Adaptive Online Replanning with Diffusion Models. CoRR (2023)
Meng Qin, Chaorui Zhang, Bo Bai, Gong Zhang, Dit-Yan Yeung
Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs. ACM Trans. Knowl. Discov. Data 17 (9) (2023)
Siyuan Zhou, Yilun Du, Shun Zhang, Mengdi Xu, Yikang Shen, Wei Xiao, Dit-Yan Yeung, Chuang Gan
Adaptive Online Replanning with Diffusion Models. NeurIPS (2023)
Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
MagicDrive: Street View Generation with Diverse 3D Geometry Control. CoRR (2023)
Zifan Shi, Yujun Shen, Yinghao Xu, Sida Peng, Yiyi Liao, Sheng Guo, Qifeng Chen, Dit-Yan Yeung
Learning 3D-Aware Image Synthesis with Unknown Pose Distribution. CVPR (2023)
Meng Qin, Chaorui Zhang, Bo Bai, Gong Zhang, Dit-Yan Yeung
High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Xuechao Chen, Shuangjie Xu, Xiaoyi Zou, Tongyi Cao, Dit-Yan Yeung, Lu Fang
SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation. CoRR (2023)
Junjie Wu, Lemao Liu, Dit-Yan Yeung
Towards General Error Diagnosis via Behavioral Testing in Machine Translation. EMNLP (Findings) (2023)
Meng Qin, Dit-Yan Yeung
Temporal Link Prediction: A Unified Framework, Taxonomy, and Review. CoRR (2022)
Tsz-Him Cheung, Dit-Yan Yeung
AdaAug: Learning Class- and Instance-adaptive Data Augmentation Policies. ICLR (2022)
Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, Qifeng Chen
3D-Aware Indoor Scene Synthesis with Depth Priors. ECCV (16) (2022)
Yusen Sun, Liangyou Li, Qun Liu, Dit-Yan Yeung
SongRewriter: A Chinese Song Rewriting System with Controllable Content and Rhyme Scheme. CoRR (2022)
Jeongseok Hyun, Myunggu Kang, Dongyoon Wee, Dit-Yan Yeung
Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker. CoRR (2022)
Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, Qifeng Chen
3D-Aware Indoor Scene Synthesis with Depth Priors. CoRR (2022)
Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. ECCV (38) (2022)
Zifan Shi, Yinghao Xu, Yujun Shen, Deli Zhao, Qifeng Chen, Dit-Yan Yeung
Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator. NeurIPS (2022)
Xianghong Fang, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Dit-Yan Yeung
Controlled Text Generation Using Dictionary Prior in Variational Autoencoders. ACL (Findings) (2022)
Meng Qin, Chaorui Zhang, Bo Bai, Gong Zhang, Dit-Yan Yeung
Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs. CoRR (2022)
Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. CoRR (2022)
Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting. NeurIPS (2022)
Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting. CoRR (2022)
Zifan Shi, Yinghao Xu, Yujun Shen, Deli Zhao, Qifeng Chen, Dit-Yan Yeung
Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator. CoRR (2022)
Zifan Shi, Na Fan, Dit-Yan Yeung, Qifeng Chen
Stereo Waterdrop Removal with Row-wise Dilated Attention. CoRR (2021)
Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. ICCV (2021)
Wai-Lun Chan, Dit-Yan Yeung
Clickstream Knowledge Tracing: Modeling How Students Answer Interactive Online Questions. LAK (2021)
Zifan Shi, Na Fan, Dit-Yan Yeung, Qifeng Chen
Stereo Waterdrop Removal with Row-wise Dilated Attention. IROS (2021)
Tsz-Him Cheung, Dit-Yan Yeung
MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space. ICLR (2021)
Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. CoRR (2021)
Nedjma Ousidhoum, Xinran Zhao, Tianqing Fang, Yangqiu Song, Dit-Yan Yeung
Probing Toxic Content in Large Pre-Trained Language Models. ACL/IJCNLP (1) (2021)
Nedjma Ousidhoum, Yangqiu Song, Dit-Yan Yeung
Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets. EMNLP (1) (2020)
Hao Wang, Dit-Yan Yeung
A Survey on Bayesian Deep Learning. ACM Comput. Surv. 53 (5) (2020)
Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung
Multilingual and Multi-Aspect Hate Speech Analysis. EMNLP/IJCNLP (1) (2019)
Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung
Multilingual and Multi-Aspect Hate Speech Analysis. CoRR (2019)
Ting Sun, Lei Tai, Zhihan Gao, Ming Liu, Dit-Yan Yeung
Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues. CoRR (2019)
Chun-Kit Yeung, Dit-Yan Yeung
Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction. Int. J. Artif. Intell. Educ. 29 (3) (2019)
Ting Sun, Yuxiang Sun, Ming Liu, Dit-Yan Yeung
Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation. CoRR (2019)
Mucong Ding, Kai Yang, Dit-Yan Yeung, Ting-Chuen Pong
Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses. LAK (2019)
Jinseok Lee, Dit-Yan Yeung
Knowledge Query Network for Knowledge Tracing: How Knowledge Interacts with Skills. LAK (2019)
Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung
Marginalized Average Attentional Network for Weakly-Supervised Learning. ICLR (Poster) (2019)
Jinseok Lee, Dit-Yan Yeung
Knowledge Query Network: How Knowledge Interacts with Skills. CoRR (2019)
Ting Sun, Dezhen Song, Dit-Yan Yeung, Ming Liu
Semi-semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments. ICVS (2019)
Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung
Marginalized Average Attentional Network for Weakly-Supervised Learning. CoRR (2019)
Mucong Ding, Kai Yang, Dit-Yan Yeung, Ting-Chuen Pong
Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses. CoRR (2018)
Chun-Kit Yeung, Zizheng Lin, Kai Yang, Dit-Yan Yeung
Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction. CoRR (2018)
Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following. IJCAI (2018)
Ting Sun, Dezhen Song, Dit-Yan Yeung, Ming Liu
Semi-Semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments. CoRR (2018)
Chun-Kit Yeung, Dit-Yan Yeung
Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization. CoRR (2018)
Siyi Li, Jiaji Zhou, Zhenzhong Jia, Dit-Yan Yeung, Matthew T. Mason
Learning Accurate Objectness Instance Segmentation from Photorealistic Rendering for Robotic Manipulation. ISER (2018)
Chun-Kit Yeung, Dit-Yan Yeung
Addressing two problems in deep knowledge tracing via prediction-consistent regularization. L@S (2018)
Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. UAI (2018)
Lin Sun, Kui Jia, Yuejia Shen, Silvio Savarese, Dit-Yan Yeung, Bertram E. Shi
Coupled Recurrent Network (CRN). CoRR (2018)
Ting Sun, Shengyi Nie, Dit-Yan Yeung, Shaojie Shen
Gesture-based Piloting of an Aerial Robot using Monocular Vision. CoRR (2018)
Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. CoRR (2018)
Xingjian Shi, Dit-Yan Yeung
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey. CoRR (2018)
Ting Sun, Ming Liu, Haoyang Ye, Dit-Yan Yeung
Point-cloud-based place recognition using CNN feature extraction. CoRR (2018)
Ting Sun, Shengyi Nie, Dit-Yan Yeung, Shaojie Shen
Gesture-based piloting of an aerial robot using monocular vision. ICRA (2017)
Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. AAAI (2017)
Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following. CoRR (2017)
Hao Wang, Xingjian Shi, Dit-Yan Yeung
Relational Deep Learning: A Deep Latent Variable Model for Link Prediction. AAAI (2017)
Lin Sun, Kui Jia, Kevin Chen, Dit-Yan Yeung, Bertram E. Shi, Silvio Savarese
Lattice Long Short-Term Memory for Human Action Recognition. ICCV (2017)
Dit-Yan Yeung
Keynote: Bayesian Deep Learning Models for Recommendation Applications. DLRS@RecSys (2017)
Siyi Li, Dit-Yan Yeung
Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models. AAAI (2017)
Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model. NIPS (2017)
Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta
Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection. ICCV (2017)
Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model. CoRR (2017)
Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection. CoRR (2017)
Feng Xiong, Xingjian Shi, Dit-Yan Yeung
Spatiotemporal Modeling for Crowd Counting in Videos. CoRR (2017)
Hao Wang, Xiaodan Liang, Hao Zhang, Dit-Yan Yeung, Eric P. Xing
ZM-Net: Real-time Zero-shot Image Manipulation Network. CoRR (2017)
Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung
Dynamic Key-Value Memory Networks for Knowledge Tracing. WWW (2017)
Ting Sun, Lin Sun, Dit-Yan Yeung
Fine-grained categorization via CNN-based automatic extraction and integration of object-level and part-level features. Image Vis. Comput. 64 (2017)
Ting Sun, Lin Sun, Dit-Yan Yeung
Fine-Grained Categorization via CNN-Based Automatic Extraction and Integration of Object-Level and Part-Level Features. CoRR (2017)
Feng Xiong, Xingjian Shi, Dit-Yan Yeung
Spatiotemporal Modeling for Crowd Counting in Videos. ICCV (2017)
Lin Sun, Kui Jia, Kevin Chen, Dit-Yan Yeung, Bertram E. Shi, Silvio Savarese
Lattice Long Short-Term Memory for Human Action Recognition. CoRR (2017)
Hao Wang, Dit-Yan Yeung
Towards Bayesian Deep Learning: A Framework and Some Existing Methods. IEEE Trans. Knowl. Data Eng. 28 (12) (2016)
Hao Wang, Xingjian Shi, Dit-Yan Yeung
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks. CoRR (2016)
Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung
Dynamic Key-Value Memory Network for Knowledge Tracing. CoRR (2016)
Hao Wang, Xingjian Shi, Dit-Yan Yeung
Natural-Parameter Networks: A Class of Probabilistic Neural Networks. CoRR (2016)
Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) (2016)
Hao Wang, Dit-Yan Yeung
Towards Bayesian Deep Learning: A Survey. CoRR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dit-Yan Yeung