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ORCIDDit-Yan Yeung
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- affiliation: Hong Kong University of Science and Technology
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2020 – today
- 2024
[j50]Meng Qin
, Dit-Yan Yeung:
Temporal Link Prediction: A Unified Framework, Taxonomy, and Review. ACM Comput. Surv. 56(4): 89:1-89:40 (2024)- [j49]Tsz-Him Cheung, Dit-Yan Yeung:
A Survey of Automated Data Augmentation for Image Classification: Learning to Compose, Mix, and Generate. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13185-13205 (2024) - [c162]Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang:
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception. CVPR 2024: 7246-7255 - [c161]Rameen Abdal, Yifan Wang, Zifan Shi, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-Yan Yeung, Gordon Wetzstein:
Gaussian Shell Maps for Efficient 3D Human Generation. CVPR 2024: 9441-9451 - [c160]Zhili Chen, Shuangjie Xu, Maosheng Ye, Zian Qian, Xiaoyi Zou, Dit-Yan Yeung, Qifeng Chen:
Learning High-Resolution Vector Representation from Multi-camera Images for 3D Object Detection. ECCV (35) 2024: 385-403 - [c159]Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang:
Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation. ECCV (17) 2024: 388-404 - [c158]Chenhan Jiang, Yihan Zeng, Tianyang Hu, Songcun Xu, Wei Zhang, Hang Xu, Dit-Yan Yeung:
JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation. ECCV (26) 2024: 439-456 - [c157]Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok:
Implicit Concept Removal of Diffusion Models. ECCV (21) 2024: 457-473 - [c156]Tsz Ting Chung, Leyang Cui, Lemao Liu, Xinting Huang, Shuming Shi, Dit-Yan Yeung:
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability. EMNLP (Findings) 2024: 11057-11070 - [c155]Junjie Wu, Lemao Liu, Wei Bi, Dit-Yan Yeung:
Rethinking Targeted Adversarial Attacks for Neural Machine Translation. ICASSP 2024: 12191-12195 - [c154]Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu:
MagicDrive: Street View Generation with Diverse 3D Geometry Control. ICLR 2024 - [c153]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:
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. ICLR 2024 - [c152]Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung:
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation. ICLR 2024 - [c151]Siyuan Zhou, Yilun Du, Jiaben Chen, Yandong Li, Dit-Yan Yeung, Chuang Gan:
RoboDreamer: Learning Compositional World Models for Robot Imagination. ICML 2024 - [c150]Meng Qin, Chaorui Zhang, Yu Gao, Weixi Zhang, Dit-Yan Yeung:
Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation. KDD 2024: 2467-2478 - [i75]Meng Qin, Dit-Yan Yeung:
IRWE: Inductive Random Walk for Joint Inference of Identity and Position Network Embedding. CoRR abs/2401.00651 (2024) - [i74]Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang:
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation. CoRR abs/2403.09572 (2024) - [i73]Tsz-Him Cheung, Dit-Yan Yeung:
TransformMix: Learning Transformation and Mixing Strategies from Data. CoRR abs/2403.12429 (2024) - [i72]Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang:
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception. CoRR abs/2403.13304 (2024) - [i71]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:
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases. CoRR abs/2404.10595 (2024) - [i70]Siyuan Zhou, Yilun Du, Jiaben Chen, Yandong Li, Dit-Yan Yeung, Chuang Gan:
RoboDreamer: Learning Compositional World Models for Robot Imagination. CoRR abs/2404.12377 (2024) - [i69]Meng Qin, Chaorui Zhang, Yu Gao, Weixi Zhang, Dit-Yan Yeung:
Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation. CoRR abs/2405.20277 (2024) - [i68]Junjie Wu, Lemao Liu, Wei Bi, Dit-Yan Yeung:
Rethinking Targeted Adversarial Attacks For Neural Machine Translation. CoRR abs/2407.05319 (2024) - [i67]Chenhan Jiang, Yihan Zeng, Tianyang Hu, Songcun Xu, Wei Zhang, Hang Xu, Dit-Yan Yeung:
JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation. CoRR abs/2407.12291 (2024) - [i66]Zhili Chen, Shuangjie Xu, Maosheng Ye, Zian Qian, Xiaoyi Zou, Dit-Yan Yeung, Qifeng Chen:
Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection. CoRR abs/2407.15354 (2024) - [i65]Jiaming Zhang, Junhong Ye, Xingjun Ma, Yige Li, Yunfan Yang, Jitao Sang, Dit-Yan Yeung:
AnyAttack: Towards Large-scale Self-supervised Generation of Targeted Adversarial Examples for Vision-Language Models. CoRR abs/2410.05346 (2024) - [i64]Tsz Ting Chung, Leyang Cui, Lemao Liu, Xinting Huang, Shuming Shi, Dit-Yan Yeung:
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability. CoRR abs/2410.11786 (2024) - [i63]Junjie Wu, Tsz Ting Chung, Kai Chen, Dit-Yan Yeung:
Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models. CoRR abs/2410.23114 (2024) - [i62]Chiu Wai Yan, Shi Quan Foo, Van-Hoang Trinh, Dit-Yan Yeung, Kam-Fai Wong, Wai-Kin Wong:
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting. CoRR abs/2410.23159 (2024) - [i61]Zhiwen Shao, Yichen Yuan, Lizhuang Ma, Dit-Yan Yeung, Xiaojia Zhu:
SG-LRA: Self-Generating Automatic Scoliosis Cobb Angle Measurement with Low-Rank Approximation. CoRR abs/2411.12604 (2024) - [i60]Tony Cheng Tong, Sirui He, Zhiwen Shao, Dit-Yan Yeung:
G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4o. CoRR abs/2412.13647 (2024) - 2023
- [j48]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): 127:1-127:34 (2023) - [j47]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): 9378-9393 (2023) - [c149]Yusen Sun, Liangyou Li, Qun Liu, Dit-Yan Yeung:
SongRewriter: A Chinese Song Rewriting System with Controllable Content and Rhyme Scheme. ACL (Findings) 2023: 12863-12880 - [c148]Xinran Zhao, Esin Durmus, Dit-Yan Yeung:
Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture. ACL (Findings) 2023: 13250-13264 - [c147]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: 13062-13071 - [c146]Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu:
CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data. CVPR 2023: 15244-15253 - [c145]Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
Mixed Autoencoder for Self-Supervised Visual Representation Learning. CVPR 2023: 22742-22751 - [c144]Junjie Wu, Lemao Liu, Dit-Yan Yeung:
Towards General Error Diagnosis via Behavioral Testing in Machine Translation. EMNLP (Findings) 2023: 6706-6720 - [c143]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: 8535-8544 - [c142]Chiu Wai Yan, Tsz-Him Cheung, Dit-Yan Yeung:
ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation. ICLR 2023 - [c141]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 - [c140]Jeongseok Hyun, Myunggu Kang, Dongyoon Wee, Dit-Yan Yeung:
Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker. WACV 2023: 4839-4848 - [i59]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 abs/2301.07702 (2023) - [i58]Chung Yan Fong, Dit-Yan Yeung:
Deep COVID-19 Forecasting for Multiple States with Data Augmentation. CoRR abs/2302.01155 (2023) - [i57]Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu:
CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data. CoRR abs/2303.12417 (2023) - [i56]Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
Mixed Autoencoder for Self-supervised Visual Representation Learning. CoRR abs/2303.17152 (2023) - [i55]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 abs/2306.04607 (2023) - [i54]Junjie Wu, Dit-Yan Yeung:
SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification. CoRR abs/2307.01488 (2023) - [i53]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 abs/2308.13323 (2023) - [i52]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 abs/2310.02601 (2023) - [i51]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 abs/2310.05873 (2023) - [i50]Siyuan Zhou, Yilun Du, Shun Zhang, Mengdi Xu, Yikang Shen, Wei Xiao, Dit-Yan Yeung, Chuang Gan:
Adaptive Online Replanning with Diffusion Models. CoRR abs/2310.09629 (2023) - [i49]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 abs/2310.10477 (2023) - [i48]Junjie Wu, Lemao Liu, Dit-Yan Yeung:
Towards General Error Diagnosis via Behavioral Testing in Machine Translation. CoRR abs/2310.13362 (2023) - [i47]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 abs/2311.17857 (2023) - [i46]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 abs/2312.00651 (2023) - [i45]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 abs/2312.12379 (2023) - 2022
- [c139]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: 97-111 - [c138]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: 406-423 - [c137]Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, Qifeng Chen:
3D-Aware Indoor Scene Synthesis with Depth Priors. ECCV (16) 2022: 406-422 - [c136]Tsz-Him Cheung, Dit-Yan Yeung:
AdaAug: Learning Class- and Instance-adaptive Data Augmentation Policies. ICLR 2022 - [c135]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 - [c134]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 - [i44]Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, Qifeng Chen:
3D-Aware Indoor Scene Synthesis with Depth Priors. CoRR abs/2202.08553 (2022) - [i43]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 abs/2203.07724 (2022) - [i42]Jeongseok Hyun, Myunggu Kang, Dongyoon Wee, Dit-Yan Yeung:
Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker. CoRR abs/2205.00968 (2022) - [i41]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 abs/2207.05833 (2022) - [i40]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 abs/2209.14825 (2022) - [i39]Zifan Shi, Yinghao Xu, Yujun Shen, Deli Zhao, Qifeng Chen, Dit-Yan Yeung:
Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator. CoRR abs/2209.15637 (2022) - [i38]Meng Qin, Dit-Yan Yeung:
Temporal Link Prediction: A Unified Framework, Taxonomy, and Review. CoRR abs/2210.08765 (2022) - [i37]Yusen Sun, Liangyou Li, Qun Liu, Dit-Yan Yeung:
SongRewriter: A Chinese Song Rewriting System with Controllable Content and Rhyme Scheme. CoRR abs/2211.15037 (2022) - 2021
- [j46]Hao Wang, Dit-Yan Yeung:
A Survey on Bayesian Deep Learning. ACM Comput. Surv. 53(5): 108:1-108:37 (2021) - [c133]Nedjma Ousidhoum, Xinran Zhao, Tianqing Fang, Yangqiu Song, Dit-Yan Yeung:
Probing Toxic Content in Large Pre-Trained Language Models. ACL/IJCNLP (1) 2021: 4262-4274 - [c132]Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. ICCV 2021: 7526-7534 - [c131]Tsz-Him Cheung, Dit-Yan Yeung:
MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space. ICLR 2021 - [c130]Zifan Shi, Na Fan, Dit-Yan Yeung, Qifeng Chen:
Stereo Waterdrop Removal with Row-wise Dilated Attention. IROS 2021: 3829-3836 - [c129]Wai-Lun Chan, Dit-Yan Yeung:
Clickstream Knowledge Tracing: Modeling How Students Answer Interactive Online Questions. LAK 2021: 99-109 - [i36]Zifan Shi, Na Fan, Dit-Yan Yeung, Qifeng Chen:
Stereo Waterdrop Removal with Row-wise Dilated Attention. CoRR abs/2108.03457 (2021) - [i35]Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. CoRR abs/2108.12178 (2021) - 2020
- [c128]Nedjma Ousidhoum, Yangqiu Song, Dit-Yan Yeung:
Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets. EMNLP (1) 2020: 2532-2542
2010 – 2019
- 2019
- [j45]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): 317-341 (2019) - [c127]Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung:
Multilingual and Multi-Aspect Hate Speech Analysis. EMNLP/IJCNLP (1) 2019: 4674-4683 - [c126]Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung:
Marginalized Average Attentional Network for Weakly-Supervised Learning. ICLR (Poster) 2019 - [c125]Ting Sun, Dezhen Song, Dit-Yan Yeung, Ming Liu:
Semi-semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments. ICVS 2019: 63-74 - [c124]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: 135-144 - [c123]Jinseok Lee, Dit-Yan Yeung:
Knowledge Query Network for Knowledge Tracing: How Knowledge Interacts with Skills. LAK 2019: 491-500 - [i34]Ting Sun, Lei Tai, Zhihan Gao, Ming Liu, Dit-Yan Yeung:
Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues. CoRR abs/1904.01749 (2019) - [i33]Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung:
Marginalized Average Attentional Network for Weakly-Supervised Learning. CoRR abs/1905.08586 (2019) - [i32]Ting Sun, Yuxiang Sun, Ming Liu, Dit-Yan Yeung:
Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation. CoRR abs/1906.03629 (2019) - [i31]Jinseok Lee, Dit-Yan Yeung:
Knowledge Query Network: How Knowledge Interacts with Skills. CoRR abs/1908.02146 (2019) - [i30]Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung:
Multilingual and Multi-Aspect Hate Speech Analysis. CoRR abs/1908.11049 (2019) - 2018
- [c122]Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen:
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following. IJCAI 2018: 4936-4942 - [c121]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: 245-255 - [c120]Chun-Kit Yeung, Dit-Yan Yeung:
Addressing two problems in deep knowledge tracing via prediction-consistent regularization. L@S 2018: 5:1-5:10 - [c119]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: 339-349 - [i29]Ting Sun, Shengyi Nie, Dit-Yan Yeung, Shaojie Shen:
Gesture-based Piloting of an Aerial Robot using Monocular Vision. CoRR abs/1803.00757 (2018) - [i28]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 abs/1803.07294 (2018) - [i27]Chun-Kit Yeung, Dit-Yan Yeung:
Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization. CoRR abs/1806.02180 (2018) - [i26]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 abs/1806.03256 (2018) - [i25]Xingjian Shi, Dit-Yan Yeung:
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey. CoRR abs/1808.06865 (2018) - [i24]Ting Sun, Ming Liu, Haoyang Ye, Dit-Yan Yeung:
Point-cloud-based place recognition using CNN feature extraction. CoRR abs/1810.09631 (2018) - [i23]Ting Sun, Dezhen Song, Dit-Yan Yeung, Ming Liu:
Semi-Semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments. CoRR abs/1811.01592 (2018) - [i22]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 abs/1812.05044 (2018) - [i21]Lin Sun, Kui Jia, Yuejia Shen, Silvio Savarese, Dit-Yan Yeung, Bertram E. Shi:
Coupled Recurrent Network (CRN). CoRR abs/1812.10071 (2018) - 2017
- [j44]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: 47-66 (2017) - [c118]Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen:
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. AAAI 2017: 1805-1811 - [c117]Hao Wang, Xingjian Shi, Dit-Yan Yeung:
Relational Deep Learning: A Deep Latent Variable Model for Link Prediction. AAAI 2017: 2688-2694 - [c116]Siyi Li, Dit-Yan Yeung:
Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models. AAAI 2017: 4140-4146 - [c115]Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta:
Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection. ICCV 2017: 1819-1828 - [c114]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: 2166-2175 - [c113]Feng Xiong, Xingjian Shi, Dit-Yan Yeung:
Spatiotemporal Modeling for Crowd Counting in Videos. ICCV 2017: 5161-5169 - [c112]Ting Sun, Shengyi Nie, Dit-Yan Yeung, Shaojie Shen:
Gesture-based piloting of an aerial robot using monocular vision. ICRA 2017: 5913-5920 - [c111]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: 5617-5627 - [c110]Dit-Yan Yeung:
Keynote: Bayesian Deep Learning Models for Recommendation Applications. DLRS@RecSys 2017: 1 - [c109]Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung:
Dynamic Key-Value Memory Networks for Knowledge Tracing. WWW 2017: 765-774 - [i20]Hao Wang, Xiaodan Liang, Hao Zhang, Dit-Yan Yeung, Eric P. Xing:
ZM-Net: Real-time Zero-shot Image Manipulation Network. CoRR abs/1703.07255 (2017) - [i19]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 abs/1706.03458 (2017) - [i18]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 abs/1706.07397 (2017) - [i17]Feng Xiong, Xingjian Shi, Dit-Yan Yeung:
Spatiotemporal Modeling for Crowd Counting in Videos. CoRR abs/1707.07890 (2017) - [i16]Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta:
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection. CoRR abs/1708.00666 (2017) - [i15]Lin Sun, Kui Jia, Kevin Chen, Dit-Yan Yeung, Bertram E. Shi, Silvio Savarese:
Lattice Long Short-Term Memory for Human Action Recognition. CoRR abs/1708.03958 (2017) - [i14]Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen:
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following. CoRR abs/1709.08233 (2017) - 2016
- [j43]Yi Zhen, Yue Gao, Dit-Yan Yeung, Hongyuan Zha, Xuelong Li:
Spectral Multimodal Hashing and Its Application to Multimedia Retrieval. IEEE Trans. Cybern. 46(1): 27-38 (2016) - [j42]Hao Wang, Dit-Yan Yeung:
Towards Bayesian Deep Learning: A Framework and Some Existing Methods. IEEE Trans. Knowl. Data Eng. 28(12): 3395-3408 (2016) - [c108]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: 777-823 - [c107]Hao Wang, Xingjian Shi, Dit-Yan Yeung:
Natural-Parameter Networks: A Class of Probabilistic Neural Networks. NIPS 2016: 118-126 - [c106]Hao Wang, Xingjian Shi, Dit-Yan Yeung:
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks. NIPS 2016: 415-423 - [i13]Hao Wang, Dit-Yan Yeung:
Towards Bayesian Deep Learning: A Survey. CoRR abs/1604.01662 (2016) - [i12]Hao Wang, Dit-Yan Yeung:
Towards Bayesian Deep Learning: A Framework and Some Existing Methods. CoRR abs/1608.06884 (2016) - [i11]Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen:
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. CoRR abs/1609.05294 (2016) - [i10]Hao Wang, Xingjian Shi, Dit-Yan Yeung:
Natural-Parameter Networks: A Class of Probabilistic Neural Networks. CoRR abs/1611.00448 (2016) - [i9]Hao Wang, Xingjian Shi, Dit-Yan Yeung:
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks. CoRR abs/1611.00454 (2016) - [i8]Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung:
Dynamic Key-Value Memory Network for Knowledge Tracing. CoRR abs/1611.08108 (2016) - 2015
- [j41]Deming Zhai, Yu Zhang, Dit-Yan Yeung, Hong Chang, Xilin Chen, Wen Gao:
Instance-specific canonical correlation analysis. Neurocomputing 155: 205-218 (2015) - [c105]Fei Mi, Dit-Yan Yeung:
Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs. AAAI 2015: 454-460 - [c104]Hao Wang, Xingjian Shi, Dit-Yan Yeung:
Relational Stacked Denoising Autoencoder for Tag Recommendation. AAAI 2015: 3052-3058 - [c103]Peixian Chen, Naiyan Wang, Nevin L. Zhang, Dit-Yan Yeung:
Bayesian adaptive matrix factorization with automatic model selection. CVPR 2015: 1284-1292 - [c102]Chuang Gan, Naiyan Wang, Yi Yang, Dit-Yan Yeung, Alexander G. Hauptmann:
DevNet: A Deep Event Network for multimedia event detection and evidence recounting. CVPR 2015: 2568-2577 - [c101]Naiyan Wang, Jianping Shi, Dit-Yan Yeung, Jiaya Jia:
Understanding and Diagnosing Visual Tracking Systems. ICCV 2015: 3101-3109 - [c100]Lin Sun, Kui Jia, Dit-Yan Yeung, Bertram E. Shi:
Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks. ICCV 2015: 4597-4605 - [c99]Mi Fei, Dit-Yan Yeung:
Temporal Models for Predicting Student Dropout in Massive Open Online Courses. ICDM Workshops 2015: 256-263 - [c98]Hao Wang, Naiyan Wang, Dit-Yan Yeung:
Collaborative Deep Learning for Recommender Systems. KDD 2015: 1235-1244 - [c97]Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo:
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting. NIPS 2015: 802-810 - [i7]Naiyan Wang, Siyi Li, Abhinav Gupta, Dit-Yan Yeung:
Transferring Rich Feature Hierarchies for Robust Visual Tracking. CoRR abs/1501.04587 (2015) - [i6]Naiyan Wang, Jianping Shi, Dit-Yan Yeung, Jiaya Jia:
Understanding and Diagnosing Visual Tracking Systems. CoRR abs/1504.06055 (2015) - [i5]Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo:
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting. CoRR abs/1506.04214 (2015) - [i4]Lin Sun, Kui Jia, Dit-Yan Yeung, Bertram E. Shi:
Human Action Recognition using Factorized Spatio-Temporal Convolutional Networks. CoRR abs/1510.00562 (2015) - 2014
- [j40]Zhihua Zhang, Cheng Chen, Guang Dai, Wu-Jun Li, Dit-Yan Yeung:
Multicategory large margin classification methods: Hinge losses vs. coherence functions. Artif. Intell. 215: 55-78 (2014) - [c96]Naiyan Wang, Dit-Yan Yeung:
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data. ICML 2014: 1107-1115 - [i3]Hao Wang, Naiyan Wang, Dit-Yan Yeung:
Collaborative Deep Learning for Recommender Systems. CoRR abs/1409.2944 (2014) - 2013
- [j39]Yi Zhen, Dit-Yan Yeung:
Active hashing and its application to image and text retrieval. Data Min. Knowl. Discov. 26(2): 255-274 (2013) - [j38]Yu Zhang, Dit-Yan Yeung:
Multilabel relationship learning. ACM Trans. Knowl. Discov. Data 7(2): 7:1-7:30 (2013) - [j37]Yu Zhang, Dit-Yan Yeung:
A Regularization Approach to Learning Task Relationships in Multitask Learning. ACM Trans. Knowl. Discov. Data 8(3): 12:1-12:31 (2013) - [c95]Naiyan Wang, Jingdong Wang, Dit-Yan Yeung:
Online Robust Non-negative Dictionary Learning for Visual Tracking. ICCV 2013: 657-664 - [c94]Naiyan Wang, Dit-Yan Yeung:
Bayesian Robust Matrix Factorization for Image and Video Processing. ICCV 2013: 1785-1792 - [c93]Yu Zhang, Dit-Yan Yeung:
Learning High-Order Task Relationships in Multi-Task Learning. IJCAI 2013: 1917-1923 - [c92]Jianping Shi, Naiyan Wang, Yang Xia, Dit-Yan Yeung, Irwin King, Jiaya Jia:
SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering. IJCAI 2013: 2705-2711 - [c91]Naiyan Wang, Dit-Yan Yeung:
Learning a Deep Compact Image Representation for Visual Tracking. NIPS 2013: 809-817 - 2012
- [j36]Yu Zhang, Dit-Yan Yeung:
Transfer Metric Learning with Semi-Supervised Extension. ACM Trans. Intell. Syst. Technol. 3(3): 54:1-54:28 (2012) - [j35]Gang Wang, Fei Wang, Tao Chen, Dit-Yan Yeung, Frederick H. Lochovsky:
Solution Path for Manifold Regularized Semisupervised Classification. IEEE Trans. Syst. Man Cybern. Part B 42(2): 308-319 (2012) - [c90]Wu-Jun Li, Dit-Yan Yeung:
Sparse Probabilistic Relational Projection. AAAI 2012: 1005-1011 - [c89]Yu Zhang, Dit-Yan Yeung, Eric P. Xing:
Supervised Probabilistic Robust Embedding with Sparse Noise. AAAI 2012: 1226-1232 - [c88]Naiyan Wang, Tiansheng Yao, Jingdong Wang, Dit-Yan Yeung:
A Probabilistic Approach to Robust Matrix Factorization. ECCV (7) 2012: 126-139 - [c87]Yu Zhang, Dit-Yan Yeung:
Overlapping community detection via bounded nonnegative matrix tri-factorization. KDD 2012: 606-614 - [c86]Yi Zhen, Dit-Yan Yeung:
A probabilistic model for multimodal hash function learning. KDD 2012: 940-948 - [c85]Yi Zhen, Dit-Yan Yeung:
Co-Regularized Hashing for Multimodal Data. NIPS 2012: 1385-1393 - [c84]Yu Zhang, Dit-Yan Yeung:
Multi-Task Boosting by Exploiting Task Relationships. ECML/PKDD (1) 2012: 697-710 - [i2]Yu Zhang, Bin Cao, Dit-Yan Yeung:
Multi-Domain Collaborative Filtering. CoRR abs/1203.3535 (2012) - [i1]Yu Zhang, Dit-Yan Yeung:
A Convex Formulation for Learning Task Relationships in Multi-Task Learning. CoRR abs/1203.3536 (2012) - 2011
- [j34]Yu Zhang, Dit-Yan Yeung:
Semisupervised Generalized Discriminant Analysis. IEEE Trans. Neural Networks 22(8): 1207-1217 (2011) - [c83]Yu Zhang, Dit-Yan Yeung:
Multi-Task Learning in Heterogeneous Feature Spaces. AAAI 2011: 574-579 - [c82]Wu-Jun Li, Dit-Yan Yeung:
Social Relations Model for Collaborative Filtering. AAAI 2011: 803-808 - [c81]Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang:
Generalized Latent Factor Models for Social Network Analysis. IJCAI 2011: 1705-1710 - [c80]Emprise Y. K. Chan, Dit-Yan Yeung:
A Convex Formulation of Modularity Maximization for Community Detection. IJCAI 2011: 2218-2225 - [c79]Yu Zhang, Dit-Yan Yeung:
Discriminative Experimental Design. ECML/PKDD (3) 2011: 585-596 - 2010
- [j33]Zhihua Zhang, Gang Wang, Dit-Yan Yeung, Guang Dai, Frederick H. Lochovsky:
A regularization framework for multiclass classification: A deterministic annealing approach. Pattern Recognit. 43(7): 2466-2475 (2010) - [j32]Wu-Jun Li, Dit-Yan Yeung:
MILD: Multiple-Instance Learning via Disambiguation. IEEE Trans. Knowl. Data Eng. 22(1): 76-89 (2010) - [c78]Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung, Qiang Yang:
Adaptive Transfer Learning. AAAI 2010: 407-412 - [c77]Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou:
Transductive Learning on Adaptive Graphs. AAAI 2010: 661-666 - [c76]Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu:
Gaussian Process Latent Random Field. AAAI 2010: 679-684 - [c75]Yu Zhang, Dit-Yan Yeung:
Multi-task warped Gaussian process for personalized age estimation. CVPR 2010: 2622-2629 - [c74]Yu Zhang, Dit-Yan Yeung:
Transfer metric learning by learning task relationships. KDD 2010: 1199-1208 - [c73]Yu Zhang, Dit-Yan Yeung, Qian Xu:
Probabilistic Multi-Task Feature Selection. NIPS 2010: 2559-2567 - [c72]Yu Zhang, Dit-Yan Yeung:
Worst-Case Linear Discriminant Analysis. NIPS 2010: 2568-2576 - [c71]Yi Zhen, Dit-Yan Yeung:
SED: supervised experimental design and its application to text classification. SIGIR 2010: 299-306 - [c70]Yu Zhang, Bin Cao, Dit-Yan Yeung:
Multi-Domain Collaborative Filtering. UAI 2010: 725-732 - [c69]Yu Zhang, Dit-Yan Yeung:
A Convex Formulation for Learning Task Relationships in Multi-Task Learning. UAI 2010: 733-442 - [c68]Yu Zhang, Dit-Yan Yeung:
Multi-Task Learning using Generalized t Process. AISTATS 2010: 964-971
2000 – 2009
- 2009
- [c67]Wu-Jun Li, Dit-Yan Yeung:
Localized content-based image retrieval through evidence region identification. CVPR 2009: 1666-1673 - [c66]Wu-Jun Li, Dit-Yan Yeung:
Relation Regularized Matrix Factorization. IJCAI 2009: 1126-1131 - [c65]Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang:
Probabilistic Relational PCA. NIPS 2009: 1123-1131 - [c64]Yu Zhang, Dit-Yan Yeung:
Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension. ECML/PKDD (2) 2009: 602-616 - [c63]Yu Zhang, Dit-Yan Yeung:
Semi-Supervised Multi-Task Regression. ECML/PKDD (2) 2009: 617-631 - [c62]Yi Zhen, Wu-Jun Li, Dit-Yan Yeung:
TagiCoFi: tag informed collaborative filtering. RecSys 2009: 69-76 - [c61]Wu-Jun Li, Zhihua Zhang, Dit-Yan Yeung:
Latent Wishart Processes for Relational Kernel Learning. AISTATS 2009: 336-343 - [c60]Zhihua Zhang, Michael I. Jordan, Wu-Jun Li, Dit-Yan Yeung:
Coherence Functions for Multicategory Margin-based Classification Methods. AISTATS 2009: 647-654 - 2008
- [j31]Dit-Yan Yeung, Hong Chang, Guang Dai:
A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability. Neural Comput. 20(11): 2839-2861 (2008) - [j30]Hong Chang, Dit-Yan Yeung:
Robust path-based spectral clustering. Pattern Recognit. 41(1): 191-203 (2008) - [j29]Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky:
A New Solution Path Algorithm in Support Vector Regression. IEEE Trans. Neural Networks 19(10): 1753-1767 (2008) - [c59]Kui Jia, Dit-Yan Yeung:
Human action recognition using Local Spatio-Temporal Discriminant Embedding. CVPR 2008 - [c58]Yu Zhang, Dit-Yan Yeung:
Semi-Supervised Discriminant Analysis using robust path-based similarity. CVPR 2008 - [c57]Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Quan:
Learning Two-View Stereo Matching. ECCV (3) 2008: 15-27 - [c56]Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Quan:
Structuring Visual Words in 3D for Arbitrary-View Object Localization. ECCV (3) 2008: 725-737 - [c55]Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung:
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice. NIPS 2008: 1969-1976 - [c54]Yu Zhang, Dit-Yan Yeung:
Semi-supervised Discriminant Analysis Via CCCP. ECML/PKDD (2) 2008: 644-659 - 2007
- [j28]Hong Chang, Dit-Yan Yeung:
Kernel-based distance metric learning for content-based image retrieval. Image Vis. Comput. 25(5): 695-703 (2007) - [j27]Zhihua Zhang, James T. Kwok, Dit-Yan Yeung:
Surrogate maximization/minimization algorithms and extensions. Mach. Learn. 69(1): 1-33 (2007) - [j26]Guang Dai, Dit-Yan Yeung, Yuntao Qian:
Face recognition using a kernel fractional-step discriminant analysis algorithm. Pattern Recognit. 40(1): 229-243 (2007) - [j25]Dit-Yan Yeung, Hong Chang, Guang Dai:
Learning the kernel matrix by maximizing a KFD-based class separability criterion. Pattern Recognit. 40(7): 2021-2028 (2007) - [j24]Dit-Yan Yeung, Hong Chang:
A Kernel Approach for Semisupervised Metric Learning. IEEE Trans. Neural Networks 18(1): 141-149 (2007) - [c53]Wei Fan, Dit-Yan Yeung:
Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds. CVPR 2007 - [c52]Dit-Yan Yeung, Hong Chang:
Locally Smooth Metric Learning with Application to Image Retrieval. ICCV 2007: 1-7 - [c51]Guang Dai, Dit-Yan Yeung:
Kernel selection forl semi-supervised kernel machines. ICML 2007: 185-192 - [c50]Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky:
A kernel path algorithm for support vector machines. ICML 2007: 951-958 - [c49]Guang Dai, Dit-Yan Yeung:
Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data. IJCAI 2007: 744-749 - [c48]Dit-Yan Yeung, Hong Chang, Guang Dai:
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning. IJCAI 2007: 1138-1143 - [c47]Wei Fan, Tao Wang, Jean-Yves Bouguet, Wei Hu, Yimin Zhang, Dit-Yan Yeung:
Semi-supervised Cast Indexing for Feature-Length Films. MMM (1) 2007: 625-635 - [c46]Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky:
The Kernel Path in Kernelized LASSO. AISTATS 2007: 580-587 - 2006
- [j23]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:
Intrusion Detection Routers: Design, Implementation and Evaluation Using an Experimental Testbed. IEEE J. Sel. Areas Commun. 24(10): 1889-1900 (2006) - [j22]Zhihua Zhang, James T. Kwok, Dit-Yan Yeung:
Model-based transductive learning of the kernel matrix. Mach. Learn. 63(1): 69-101 (2006) - [j21]Dit-Yan Yeung, Hong Chang:
Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints. Pattern Recognit. 39(5): 1007-1010 (2006) - [j20]Hong Chang, Dit-Yan Yeung:
Robust locally linear embedding. Pattern Recognit. 39(6): 1053-1065 (2006) - [j19]Hong Chang, Dit-Yan Yeung:
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval. Pattern Recognit. 39(7): 1253-1264 (2006) - [j18]Hong Chang, Dit-Yan Yeung, William K. Cheung:
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval. Pattern Recognit. 39(10): 1905-1917 (2006) - [j17]Wei Chen, Dit-Yan Yeung:
Throttling spoofed SYN flooding traffic at the source. Telecommun. Syst. 33(1-3): 47-65 (2006) - [c45]Guang Dai, Dit-Yan Yeung:
Tensor Embedding Methods. AAAI 2006: 330-335 - [c44]Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung:
A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking. AAAI 2006: 988-993 - [c43]Wei Fan, Dit-Yan Yeung:
Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification. CVPR (2) 2006: 1384-1390 - [c42]Hong Chang, Dit-Yan Yeung:
Graph Laplacian Kernels for Object Classification from a Single Example. CVPR (2) 2006: 2011-2016 - [c41]Guang Dai, Dit-Yan Yeung, Hong Chang:
Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion. ECCV (4) 2006: 308-320 - [c40]Wei Fan, Dit-Yan Yeung:
Face Recognition with Image Sets Using Hierarchically Extracted Exemplars from Appearance Manifolds. FGR 2006: 177-182 - [c39]Ho-Yu Lam, Chi-Pan Li, Samuel T. Chanson, Dit-Yan Yeung:
A Coordinated Detection and Response Scheme for Distributed Denial-of-Service Attacks. ICC 2006: 2165-2170 - [c38]Gang Wang, Tao Chen, Dit-Yan Yeung, Frederick H. Lochovsky:
Solution Path for Semi-Supervised Classification with Manifold Regularization. ICDM 2006: 1124-1129 - [c37]Shu Liao, Wei Fan, Albert C. S. Chung, Dit-Yan Yeung:
Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features. ICIP 2006: 665-668 - [c36]Jian Xia, Dit-Yan Yeung, Guang Dai:
Local Discriminant Embedding with Tensor Representation. ICIP 2006: 929-932 - [c35]Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky:
Two-dimensional solution path for support vector regression. ICML 2006: 993-1000 - [c34]Wei Chen, Dit-Yan Yeung:
Defending Against TCP SYN Flooding Attacks Under Different Types of IP Spoofing. ICN/ICONS/MCL 2006: 38 - [e1]Dit-Yan Yeung, James T. Kwok, Ana L. N. Fred, Fabio Roli, Dick de Ridder:
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006, Proceedings. Lecture Notes in Computer Science 4109, Springer 2006, ISBN 3-540-37236-9 [contents] - 2005
- [c33]Hong Chang, Dit-Yan Yeung:
Stepwise Metric Adaptation Based on Semi-Supervised Learning for Boosting Image Retrieval Performance. BMVC 2005 - [c32]Hong Chang, Dit-Yan Yeung:
Robust Path-Based Spectral Clustering with Application to Image Segmentation. ICCV 2005: 278-285 - [c31]Guang Dai, Dit-Yan Yeung:
Nonlinear dimensionality reduction for classification using kernel weighted subspace method. ICIP (2) 2005: 838-841 - [c30]Hong Chang, Dit-Yan Yeung:
Kernel-Based Metric Adaptation with Pairwise Constraints. ICMLC 2005: 721-730 - 2004
- [j16]Yimin Xiong, Dit-Yan Yeung:
Time series clustering with ARMA mixtures. Pattern Recognit. 37(8): 1675-1689 (2004) - [c29]Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan Yeung:
Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo. AAAI 2004: 372-377 - [c28]Hong Chang, Dit-Yan Yeung, Yimin Xiong:
Super-Resolution through Neighbor Embedding. CVPR (1) 2004: 275-282 - [c27]Samuel P. M. Choi, Nevin Lianwen Zhang, Dit-Yan Yeung:
Reinforcement Learning in Episodic Non-stationary Markovian Environments. IC-AI 2004: 752-758 - [c26]Dit-Yan Yeung, Hong Chang, Yimin Xiong, Susan E. George, Ramanujan S. Kashi, Takashi Matsumoto, Gerhard Rigoll:
SVC2004: First International Signature Verification Competition. ICBA 2004: 16-22 - [c25]Hong Chang, Dit-Yan Yeung:
Locally linear metric adaptation for semi-supervised clustering. ICML 2004 - [c24]Zhihua Zhang, James T. Kwok, Dit-Yan Yeung:
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model. ICML 2004 - [c23]Zhihua Zhang, Dit-Yan Yeung, James T. Kwok:
Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm. ICML 2004 - [c22]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:
IDR: An Intrusion Detection Router for Defending against Distributed Denial-of-Service (DDoS) Attacks. ISPAN 2004: 581-586 - 2003
- [j15]Dit-Yan Yeung, Yuxin Ding:
Host-based intrusion detection using dynamic and static behavioral models. Pattern Recognit. 36(1): 229-243 (2003) - [c21]Zhihua Zhang, James T. Kwok, Dit-Yan Yeung:
Parametric Distance Metric Learning with Label Information. IJCAI 2003: 1450- - 2002
- [j14]Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin:
Bidirectional Deformable Matching with Application to Handwritten Character Extraction. IEEE Trans. Pattern Anal. Mach. Intell. 24(8): 1133-1139 (2002) - [j13]Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin:
On deformable models for visual pattern recognition. Pattern Recognit. 35(7): 1507-1526 (2002) - [c20]Yimin Xiong, Dit-Yan Yeung:
Mixtures of ARMA Models for Model-Based Time Series Clustering. ICDM 2002: 717-720 - [c19]Dit-Yan Yeung, Calvin Chow:
Parzen-Window Network Intrusion Detectors. ICPR (4) 2002: 385-388 - [c18]Dit-Yan Yeung, Yuxin Ding:
User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models. PAKDD 2002: 494-505 - 2001
- [j12]Kam-Fai Chan, Dit-Yan Yeung:
Error detection, error correction and performance evaluation in on-line mathematical expression recognition. Pattern Recognit. 34(8): 1671-1684 (2001) - [c17]Samuel Ping-Man Choi, Nevin Lianwen Zhang, Dit-Yan Yeung:
Solving Hidden-Mode Markov Decision Problems. AISTATS 2001: 49-56 - [c16]Kam-Fai Chan, Dit-Yan Yeung:
PenCalc: A Novel Application of On-Line Mathematical Expression Recognition Technology. ICDAR 2001: 774-778 - [c15]Samuel P. M. Choi, Dit-Yan Yeung, Nevin Lianwen Zhang:
Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making. Sequence Learning 2001: 264-287 - 2000
- [j11]Kam-Fai Chan, Dit-Yan Yeung:
Mathematical expression recognition: a survey. Int. J. Document Anal. Recognit. 3(1): 3-15 (2000) - [j10]Kam-Fai Chan, Dit-Yan Yeung:
An efficient syntactic approach to structural analysis of on-line handwritten mathematical expressions. Pattern Recognit. 33(3): 375-384 (2000)
1990 – 1999
- 1999
- [j9]Kam-Fai Chan, Dit-Yan Yeung:
Recognizing on-line handwritten alphanumeric characters through flexible structural matching. Pattern Recognit. 32(7): 1099-1114 (1999) - [c14]Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin:
A Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval. ICCV 1999: 1105-1110 - [c13]Samuel P. M. Choi, Dit-Yan Yeung, Nevin Lianwen Zhang:
An Environment Model for Nonstationary Reinforcement Learning. NIPS 1999: 987-993 - 1998
- [j8]Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin:
A Bayesian Framework for Deformable Pattern Recognition With Application to Handwritten Character Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 20(12): 1382-1388 (1998) - [c12]Kam-Fai Chan, Dit-Yan Yeung:
Elastic structural matching for online handwritten alphanumeric character recognition. ICPR 1998: 1508-1511 - [c11]Kam-Fai Chan, Dit-Yan Yeung:
Towards Efficient Structural Analysis of Mathematical Expressions. SSPR/SPR 1998: 437-444 - 1997
- [j7]Xiaolin Li, Dit-Yan Yeung:
On-line handwritten alphanumeric character recognition using dominant points in strokes. Pattern Recognit. 30(1): 31-44 (1997) - [j6]James Tin-Yau Kwok, Dit-Yan Yeung:
Constructive algorithms for structure learning in feedforward neural networks for regression problems. IEEE Trans. Neural Networks 8(3): 630-645 (1997) - [j5]James Tin-Yau Kwok, Dit-Yan Yeung:
Objective functions for training new hidden units in constructive neural networks. IEEE Trans. Neural Networks 8(5): 1131-1148 (1997) - 1996
- [j4]James Tin-Yau Kwok, Dit-Yan Yeung:
Use of bias term in projection pursuit learning improves approximation and convergence properties. IEEE Trans. Neural Networks 7(5): 1168-1183 (1996) - [c10]Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin:
Competitive Mixture of Deformable Models for Pattern Classification. CVPR 1996: 613-618 - [c9]James Tin-Yau Kwok, Dit-Yan Yeung:
Bayesian Regularization in Constructive Neural Networks. ICANN 1996: 557-562 - 1995
- [j3]James Tin-Yau Kwok, Dit-Yan Yeung:
Improving the approximation and convergence capabilities of projection pursuit learning. Neural Process. Lett. 2(3): 20-25 (1995) - [c8]Dit-Yan Yeung:
A grammatical inference approach to on-line handwriting modeling and recognition: a pilot study. ICDAR 1995: 1069-1073 - [c7]James Tin-Yau Kwok, Dit-Yan Yeung:
Efficient cross-validation for feedforward neural networks. ICNN 1995: 2789-2794 - [c6]Xiaolin Li, Dit-Yan Yeung:
On-Line Handwritten Alphanumeric Character Recognition Using Feature Sequences. ICSC 1995: 197-204 - [c5]Samuel P. M. Choi, Dit-Yan Yeung:
Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic Control. NIPS 1995: 945-951 - 1993
- [j2]Dit-Yan Yeung:
Constructive neural networks as estimators of bayesian discriminant functions. Pattern Recognit. 26(1): 189-204 (1993) - [j1]Dit-Yan Yeung, George A. Bekey:
On reducing learning time in context-dependent mappings. IEEE Trans. Neural Networks 4(1): 31-42 (1993) - [c4]James Tin-Yau Kwok, Dit-Yan Yeung:
Experimental analysis of input weight freezing in constructive neural networks. ICNN 1993: 511-516 - 1991
- [c3]Dit-Yan Yeung:
A Neural Network Approach to Constructive Induction. ML 1991: 228-232
1980 – 1989
- 1989
- [c2]Dit-Yan Yeung, George A. Gekey:
Using a context-sensitive learning for robot arm control. ICRA 1989: 1441-1447 - 1987
- [c1]Dit-Yan Yeung, George A. Bekey:
A decentralized approach to the motion planning problem for multiple mobile robots. ICRA 1987: 1779-1784
Coauthor Index
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