default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJames T. Kwok
James Tin-Yau Kwok
Person information
- affiliation: Hong Kong University of Science and Technology
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j86]Hansi Yang
, Quanming Yao, Bo Han, James T. Kwok:
Searching to Exploit Memorization Effect in Deep Learning With Noisy Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7833-7849 (2024)- [j85]Biwei Cao, Jiuxin Cao, Bo Liu, Jie Gui, Jun Zhou, Yuan Yan Tang, James Tin-Yau Kwok:
Response Generation in Social Network With Topic and Emotion Constraints. IEEE Trans. Comput. Soc. Syst. 11(5): 6592-6604 (2024) - [j84]Yaofo Chen, Yong Guo, Daihai Liao, Fanbing Lv, Hengjie Song, James Tin-Yau Kwok, Mingkui Tan:
Automated Dominative Subspace Mining for Efficient Neural Architecture Search. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9281-9297 (2024) - [j83]Yifan Wang, Jie Gui, Yuan Yan Tang, James Tin-Yau Kwok:
CFVNet: An End-to-End Cancelable Finger Vein Network for Recognition. IEEE Trans. Inf. Forensics Secur. 19: 7810-7823 (2024) - [j82]Yu-Xin Zhang, Jie Gui, James Tin-Yau Kwok:
Constructing Diverse Inlier Consistency for Partial Point Cloud Registration. IEEE Trans. Image Process. 33: 6535-6549 (2024) - [j81]Qianli Ma, Zhen Liu, Zhenjing Zheng, Ziyang Huang, Siying Zhu, Zhongzhong Yu, James T. Kwok:
A Survey on Time-Series Pre-Trained Models. IEEE Trans. Knowl. Data Eng. 36(12): 7536-7555 (2024) - [j80]Jie Gui, Xiaofeng Cong, Lei He, Yuan Yan Tang, James Tin-Yau Kwok:
Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding. IEEE Trans. Multim. 26: 4819-4830 (2024) - [j79]Fan Feng, Lu Hou, Qi She, Rosa H. M. Chan, James T. Kwok:
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8999-9013 (2024) - [c158]Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok:
Forward-Backward Reasoning in Large Language Models for Mathematical Verification. ACL (Findings) 2024: 6647-6661 - [c157]Tao Li, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James T. Kwok:
Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy. ECCV (65) 2024: 342-359 - [c156]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 - [c155]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 - [c154]Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li:
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. ICLR 2024 - [c153]Lifeng Shen, Weiyu Chen, James T. Kwok:
Multi-Resolution Diffusion Models for Time Series Forecasting. ICLR 2024 - [c152]Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu:
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. ICLR 2024 - [c151]Weiyu Chen, James T. Kwok:
Efficient Pareto Manifold Learning with Low-Rank Structure. ICML 2024 - [c150]Runsheng Yu, Youzhi Zhang, James T. Kwok:
Improving Sharpness-Aware Minimization by Lookahead. ICML 2024 - [i74]Yanbin Wei, Shuai Fu, Weisen Jiang, James T. Kwok, Yu Zhang:
Rendering Graphs for Graph Reasoning in Multimodal Large Language Models. CoRR abs/2402.02130 (2024) - [i73]Yanbin Wei, Qiushi Huang, James T. Kwok, Yu Zhang:
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion. CoRR abs/2402.02389 (2024) - [i72]Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok:
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts. CoRR abs/2402.05382 (2024) - [i71]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) - [i70]Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok:
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment. CoRR abs/2405.00557 (2024) - [i69]Runsheng Yu, Yong Wang, Xiaoqi Jiao, Youzhi Zhang, James T. Kwok:
Direct Alignment of Language Models via Quality-Aware Self-Refinement. CoRR abs/2405.21040 (2024) - [i68]Lifeng Shen, Jincheng Yu, Hansi Yang, James T. Kwok:
Mixup Augmentation with Multiple Interpolations. CoRR abs/2406.01417 (2024) - [i67]Hansi Yang, James T. Kwok:
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning. CoRR abs/2406.13183 (2024) - [i66]Tao Li, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James T. Kwok:
Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy. CoRR abs/2407.03641 (2024) - [i65]Weiyu Chen, James T. Kwok:
Efficient Pareto Manifold Learning with Low-Rank Structure. CoRR abs/2407.20734 (2024) - [i64]Siyu Zhai, Zhibo He, Xiaofeng Cong, Junming Hou, Jie Gui, Jian Wei You, Xin Gong, James Tin-Yau Kwok, Yuan Yan Tang:
Unrevealed Threats: A Comprehensive Study of the Adversarial Robustness of Underwater Image Enhancement Models. CoRR abs/2409.06420 (2024) - [i63]Yifan Wang, Jie Gui, Yuan Yan Tang, James Tin-Yau Kwok:
CFVNet: An End-to-End Cancelable Finger Vein Network for Recognition. CoRR abs/2409.14774 (2024) - [i62]Xiaofeng Cong, Jing Zhang, Yeying Jin, Junming Hou, Yu Zhao, Jie Gui, James Tin-Yau Kwok, Yuan Yan Tang:
Underwater Organism Color Enhancement via Color Code Decomposition, Adaptation and Interpolation. CoRR abs/2409.19685 (2024) - [i61]Shuhao Chen, Weisen Jiang, Baijiong Lin, James T. Kwok, Yu Zhang:
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models. CoRR abs/2409.19886 (2024) - 2023
- [j78]Yongqi Zhang, Quanming Yao, James T. Kwok:
Bilinear Scoring Function Search for Knowledge Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1458-1473 (2023) - [j77]Hui Zhang, Quanming Yao, James T. Kwok, Xiang Bai:
Searching a High Performance Feature Extractor for Text Recognition Network. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6231-6246 (2023) - [j76]Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei:
Feedback Pyramid Attention Networks for Single Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4881-4892 (2023) - [j75]Jidong Ge, Yuxiang Liu, Jie Gui, Lanting Fang, Ming Lin, James Tin-Yau Kwok, Liguo Huang, Bin Luo:
Learning the Relation Between Similarity Loss and Clustering Loss in Self-Supervised Learning. IEEE Trans. Image Process. 32: 3442-3454 (2023) - [j74]Biwei Cao, Jiuxin Cao, Jie Gui, Jiayun Shen, Bo Liu, Lei He, Yuan Yan Tang, James Tin-Yau Kwok:
AlignVE: Visual Entailment Recognition Based on Alignment Relations. IEEE Trans. Multim. 25: 7378-7387 (2023) - [c149]Hansi Yang, Yongqi Zhang, Quanming Yao, James T. Kwok:
Positive-Unlabeled Node Classification with Structure-aware Graph Learning. CIKM 2023: 4390-4394 - [c148]Yunhao Gou, Tom Ko, Hansi Yang, James T. Kwok, Yu Zhang, Mingxuan Wang:
Leveraging per Image-Token Consistency for Vision-Language Pre-training. CVPR 2023: 19155-19164 - [c147]Yanbin Wei, Qiushi Huang, Yu Zhang, James T. Kwok:
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion. EMNLP (Findings) 2023: 8667-8683 - [c146]Yuhui Guo, Xun Liang, James T. Kwok, Xiangping Zheng, Bo Wu, Yuefeng Ma:
Cross-Modal Matching and Adaptive Graph Attention Network for RGB-D Scene Recognition. ICASSP 2023: 1-5 - [c145]Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang:
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training. ICCV 2023: 22121-22132 - [c144]Weisen Jiang, Hansi Yang, Yu Zhang, James T. Kwok:
An Adaptive Policy to Employ Sharpness-Aware Minimization. ICLR 2023 - [c143]Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok:
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts. ICLR 2023 - [c142]Runsheng Yu, Weiyu Chen, Xinrun Wang, James T. Kwok:
Enhancing Meta Learning via Multi-Objective Soft Improvement Functions. ICLR 2023 - [c141]Weisen Jiang, Yu Zhang, James T. Kwok:
Effective Structured Prompting by Meta-Learning and Representative Verbalizer. ICML 2023: 15186-15199 - [c140]Lifeng Shen, James T. Kwok:
Non-autoregressive Conditional Diffusion Models for Time Series Prediction. ICML 2023: 31016-31029 - [c139]Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok:
Nonparametric Iterative Machine Teaching. ICML 2023: 40851-40870 - [c138]Zhenqian Shen, Hansi Yang, Yong Li, James T. Kwok, Quanming Yao:
Efficient Hyper-parameter Optimization with Cubic Regularization. NeurIPS 2023 - [c137]Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok:
Nonparametric Teaching for Multiple Learners. NeurIPS 2023 - [i60]Jidong Ge, Yuxiang Liu, Jie Gui, Lanting Fang, Ming Lin, James Tin-Yau Kwok, LiGuo Huang, Bin Luo:
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning. CoRR abs/2301.03041 (2023) - [i59]Jie Gui, Xiaofeng Cong, Chengwei Peng, Yuan Yan Tang, James Tin-Yau Kwok:
Adversarial Attack and Defense for Dehazing Networks. CoRR abs/2303.17255 (2023) - [i58]Biwei Cao, Lulu Hua, Jiuxin Cao, Jie Gui, Bo Liu, James Tin-Yau Kwok:
No Place to Hide: Dual Deep Interaction Channel Network for Fake News Detection based on Data Augmentation. CoRR abs/2303.18049 (2023) - [i57]Weisen Jiang, Hansi Yang, Yu Zhang, James T. Kwok:
An Adaptive Policy to Employ Sharpness-Aware Minimization. CoRR abs/2304.14647 (2023) - [i56]Qianli Ma, Zhen Liu, Zhenjing Zheng, Ziyang Huang, Siying Zhu, Zhongzhong Yu, James T. Kwok:
A Survey on Time-Series Pre-Trained Models. CoRR abs/2305.10716 (2023) - [i55]Weisen Jiang, Yu Zhang, James T. Kwok:
Effective Structured Prompting by Meta-Learning and Representative Verbalizer. CoRR abs/2306.00618 (2023) - [i54]Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok:
Nonparametric Iterative Machine Teaching. CoRR abs/2306.03007 (2023) - [i53]Lifeng Shen, James T. Kwok:
Non-autoregressive Conditional Diffusion Models for Time Series Prediction. CoRR abs/2306.05043 (2023) - [i52]Jie Gui, Xiaofeng Cong, Lei He, Yuan Yan Tang, James Tin-Yau Kwok:
Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding. CoRR abs/2306.05675 (2023) - [i51]Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok:
Forward-Backward Reasoning in Large Language Models for Verification. CoRR abs/2308.07758 (2023) - [i50]Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang:
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training. CoRR abs/2308.11331 (2023) - [i49]Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu:
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. CoRR abs/2309.12284 (2023) - [i48]Yulong Zhang, Shuhao Chen, Weisen Jiang, Yu Zhang, Jiangang Lu, James T. Kwok:
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation. CoRR abs/2309.14360 (2023) - [i47]Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Yue Wu, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li:
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. CoRR abs/2310.00426 (2023) - [i46]Weisen Jiang, Baijiong Lin, Han Shi, Yu Zhang, Zhenguo Li, James T. Kwok:
Effective and Parameter-Efficient Reusing Fine-Tuned Models. CoRR abs/2310.01886 (2023) - [i45]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) - [i44]Hansi Yang, Yongqi Zhang, Quanming Yao, James T. Kwok:
Positive-Unlabeled Node Classification with Structure-aware Graph Learning. CoRR abs/2310.13538 (2023) - [i43]Mingwei Xu, Xiaofeng Cao, Ivor W. Tsang, James T. Kwok:
Aggregation Weighting of Federated Learning via Generalization Bound Estimation. CoRR abs/2311.05936 (2023) - [i42]Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok:
Nonparametric Teaching for Multiple Learners. CoRR abs/2311.10318 (2023) - [i41]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
- [j73]Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei:
Pyramidal dense attention networks for single image super-resolution. IET Image Process. 16(12): 3247-3257 (2022) - [j72]Kangshun Li, Dunmin Chen, Zhaolian Zeng, Guang Chen, James Tin-Yau Kwok:
New transformation method in continuous particle swarm optimisation for feature selection. Int. J. Wirel. Mob. Comput. 22(2): 114-124 (2022) - [j71]Quanming Yao, Yaqing Wang, Bo Han, James T. Kwok:
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization. J. Mach. Learn. Res. 23: 136:1-136:60 (2022) - [j70]Quanming Yao, Hansi Yang, En-Liang Hu, James T. Kwok:
Efficient Low-Rank Semidefinite Programming With Robust Loss Functions. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6153-6168 (2022) - [c136]Sen Li, Fuyu Lv, Taiwei Jin, Guiyang Li, Yukun Zheng, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng, James T. Kwok, Qianli Ma:
Query Rewriting in TaoBao Search. CIKM 2022: 3262-3271 - [c135]Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok:
Revisiting Over-smoothing in BERT from the Perspective of Graph. ICLR 2022 - [c134]Weisen Jiang, James T. Kwok, Yu Zhang:
Subspace Learning for Effective Meta-Learning. ICML 2022: 10177-10194 - [c133]Hansi Yang, James T. Kwok:
Efficient Variance Reduction for Meta-learning. ICML 2022: 25070-25095 - [i40]Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok:
Revisiting Over-smoothing in BERT from the Perspective of Graph. CoRR abs/2202.08625 (2022) - [i39]Quanming Yao, Yaqing Wang, Bo Han, James T. Kwok:
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization. CoRR abs/2205.03059 (2022) - [i38]Hui Zhang, Quanming Yao, James T. Kwok, Xiang Bai:
Searching a High-Performance Feature Extractor for Text Recognition Network. CoRR abs/2209.13139 (2022) - [i37]Biwei Cao, Jiuxin Cao, Jie Gui, Jiayun Shen, Bo Liu, Lei He, Yuan Yan Tang, James Tin-Yau Kwok:
AlignVE: Visual Entailment Recognition Based on Alignment Relations. CoRR abs/2211.08736 (2022) - [i36]Yunhao Gou, Tom Ko, Hansi Yang, James T. Kwok, Yu Zhang, Mingxuan Wang:
Leveraging per Image-Token Consistency for Vision-Language Pre-training. CoRR abs/2211.15398 (2022) - 2021
- [j69]Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni:
Generalizing from a Few Examples: A Survey on Few-shot Learning. ACM Comput. Surv. 53(3): 63:1-63:34 (2021) - [j68]Huan Zhao, Quanming Yao, Yangqiu Song, James T. Kwok, Dik Lun Lee:
Side Information Fusion for Recommender Systems over Heterogeneous Information Network. ACM Trans. Knowl. Discov. Data 15(4): 60:1-60:32 (2021) - [j67]Yuan Cao, Heng Qi, Jie Gui, Keqiu Li, Yuan Yan Tang, James Tin-Yau Kwok:
Learning to Hash With Dimension Analysis Based Quantizer for Image Retrieval. IEEE Trans. Multim. 23: 3907-3918 (2021) - [j66]Yuefeng Ma, Xun Liang, Gang Sheng, James T. Kwok, Maoli Wang, Guangshun Li:
Noniterative Sparse LS-SVM Based on Globally Representative Point Selection. IEEE Trans. Neural Networks Learn. Syst. 32(2): 788-798 (2021) - [c132]Lifeng Shen, Zhongzhong Yu, Qianli Ma, James T. Kwok:
Time Series Anomaly Detection with Multiresolution Ensemble Decoding. AAAI 2021: 9567-9575 - [c131]Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok:
SparseBERT: Rethinking the Importance Analysis in Self-attention. ICML 2021: 9547-9557 - [c130]Weisen Jiang, Yu Zhang, James T. Kwok:
SEEN: Few-Shot Classification with SElf-ENsemble. IJCNN 2021: 1-8 - [c129]Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, William K. Cheung, James T. Kwok:
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation. NeurIPS 2021: 20970-20982 - [c128]Weisen Jiang, James T. Kwok, Yu Zhang:
Effective Meta-Regularization by Kernelized Proximal Regularization. NeurIPS 2021: 26212-26222 - [c127]Zac Wellmer, James T. Kwok:
Dropout's Dream Land: Generalization from Learned Simulators to Reality. ECML/PKDD (1) 2021: 255-270 - [c126]Yaqing Wang, Quanming Yao, James T. Kwok:
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning. WWW 2021: 1798-1808 - [i35]Hansi Yang, Quanming Yao, James T. Kwok:
Tensorizing Subgraph Search in the Supernet. CoRR abs/2101.01078 (2021) - [i34]Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James T. Kwok:
SparseBERT: Rethinking the Importance Analysis in Self-attention. CoRR abs/2102.12871 (2021) - [i33]Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, William K. Cheung, James T. Kwok:
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation. CoRR abs/2106.06326 (2021) - [i32]Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei:
Feedback Pyramid Attention Networks for Single Image Super-Resolution. CoRR abs/2106.06966 (2021) - [i31]Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei:
Pyramidal Dense Attention Networks for Lightweight Image Super-Resolution. CoRR abs/2106.06996 (2021) - [i30]Zac Wellmer, James T. Kwok:
Dropout's Dream Land: Generalization from Learned Simulators to Reality. CoRR abs/2109.08342 (2021) - 2020
- [j65]Yaqing Wang, James T. Kwok, Lionel M. Ni:
Generalized Convolutional Sparse Coding With Unknown Noise. IEEE Trans. Image Process. 29: 5386-5395 (2020) - [c125]Han Shi, Haozheng Fan, James T. Kwok:
Effective Decoding in Graph Auto-Encoder Using Triadic Closure. AAAI 2020: 906-913 - [c124]Quanming Yao, Hansi Yang, Bo Han, Gang Niu, James Tin-Yau Kwok:
Searching to Exploit Memorization Effect in Learning with Noisy Labels. ICML 2020: 10789-10798 - [c123]Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon:
Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. KDD 2020: 3533-3534 - [c122]Lifeng Shen, Zhuocong Li, James T. Kwok:
Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network. NeurIPS 2020 - [c121]Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James T. Kwok, Tong Zhang:
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS. NeurIPS 2020 - [c120]Quanming Yao, Xiangning Chen, James T. Kwok, Yong Li, Cho-Jui Hsieh:
Efficient Neural Interaction Function Search for Collaborative Filtering. WWW 2020: 1660-1670 - [p2]Xiawei Guo, Quanming Yao, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. Federated Learning 2020: 269-283 - [e12]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part IV. Communications in Computer and Information Science 1332, Springer 2020, ISBN 978-3-030-63819-1 [contents] - [e11]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V. Communications in Computer and Information Science 1333, Springer 2020, ISBN 978-3-030-63822-1 [contents] - [e10]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12532, Springer 2020, ISBN 978-3-030-63829-0 [contents] - [e9]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12533, Springer 2020, ISBN 978-3-030-63832-0 [contents] - [e8]