Dacheng Tao

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 1465

Top Venues

CoRR

IEEE Trans. Image Process.

CVPR

IEEE Trans. Neural Networks Learn. Syst.

Birkbeck, University of London, UK (PHD)

Education History

Birkbeck, University of London, UK

PHD

Publications

Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao
Poisson Process for Bayesian Optimization. CoRR (2024)
Mang Ye, Xiuwen Fang, Bo Du, Pong C. Yuen, Dacheng Tao
Heterogeneous Federated Learning: State-of-the-art and Research Challenges. ACM Comput. Surv. 56 (3) (2024)
Jingcai Guo, Zhijie Rao, Song Guo, Jingren Zhou, Dacheng Tao
Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects. CoRR (2024)
Maoyuan Ye, Jing Zhang, Juhua Liu, Chenyu Liu, Baocai Yin, Cong Liu, Bo Du, Dacheng Tao
Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation. CoRR (2024)
Yuqi Zhang, Liang Ding, Lefei Zhang, Dacheng Tao
Intention Analysis Prompting Makes Large Language Models A Good Jailbreak Defender. CoRR (2024)
Jianping Gou, Liyuan Sun, Baosheng Yu, Shaohua Wan, Dacheng Tao
Hierarchical Multi-Attention Transfer for Knowledge Distillation. ACM Trans. Multim. Comput. Commun. Appl. 20 (2) (2024)
Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
Revisiting Demonstration Selection Strategies in In-Context Learning. CoRR (2024)
Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao
Topology-aware Embedding Memory for Learning on Expanding Graphs. CoRR (2024)
Tongyan Hua, Haotian Bai, Zidong Cao, Ming Liu, Dacheng Tao, Lin Wang
Hi-Map: Hierarchical Factorized Radiance Field for High-Fidelity Monocular Dense Mapping. CoRR (2024)
Wenbin Wang, Liang Ding, Li Shen, Yong Luo, Han Hu, Dacheng Tao
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge. CoRR (2024)
Hao Wang, Licheng Pan, Zhichao Chen, Degui Yang, Sen Zhang, Yifei Yang, Xinggao Liu, Haoxuan Li, Dacheng Tao
FreDF: Learning to Forecast in Frequency Domain. CoRR (2024)
Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu
Shortcut Learning of Large Language Models in Natural Language Understanding. Commun. ACM 67 (1) (2024)
Yanfang Zhang, Yiliu Sun, Yibing Zhan, Dapeng Tao, Dacheng Tao, Chen Gong
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning. CoRR (2024)
Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. Neural Networks 169 (2024)
Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao
Towards Theoretical Understandings of Self-Consuming Generative Models. CoRR (2024)
Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, Dacheng Tao
TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation. CoRR (2024)
Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases. CoRR (2024)
Haibin He, Maoyuan Ye, Jing Zhang, Juhua Liu, Dacheng Tao
GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching. CoRR (2024)
Kaixin Huang, Li Shen, Chen Zhao, Chun Yuan, Dacheng Tao
Solving Continual Offline Reinforcement Learning with Decision Transformer. CoRR (2024)
Xiangtai Li, Jiangning Zhang, Yibo Yang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Dacheng Tao
Sfnet: Faster and Accurate Semantic Segmentation Via Semantic Flow. Int. J. Comput. Vis. 132 (2) (2024)
Xikun Zhang, Dongjin Song, Dacheng Tao
Continual Learning on Graphs: Challenges, Solutions, and Opportunities. CoRR (2024)
Shiye Lei, Dacheng Tao
A Comprehensive Survey of Dataset Distillation. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. CoRR (2024)
Yifei Cheng, Li Shen, Linli Xu, Xun Qian, Shiwei Wu, Yiming Zhou, Tie Zhang, Dacheng Tao, Enhong Chen
Communication-Efficient Distributed Learning with Local Immediate Error Compensation. CoRR (2024)
Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao
ViTPose++: Vision Transformer for Generic Body Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Wei Zhai, Yang Cao, Jing Zhang, Haiyong Xie, Dacheng Tao, Zheng-Jun Zha
On Exploring Multiplicity of Primitives and Attributes for Texture Recognition in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Yuchun Miao, Sen Zhang, Liang Ding, Rong Bao, Lefei Zhang, Dacheng Tao
Mitigating Reward Hacking via Information-Theoretic Reward Modeling. CoRR (2024)
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
Representation Surgery for Multi-Task Model Merging. CoRR (2024)
Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. CoRR (2024)
Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhijun Tu, Kai Han, Hailin Hu, Dacheng Tao
A Survey on Transformer Compression. CoRR (2024)
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
AdaMerging: Adaptive Model Merging for Multi-Task Learning. CoRR (2023)
Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. IJCAI (2023)
Tinglei Feng, Yingjie Zhai, Jufeng Yang, Jie Liang, Deng-Ping Fan, Jing Zhang, Ling Shao, Dacheng Tao
IC9600: A Benchmark Dataset for Automatic Image Complexity Assessment. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Haixiang Sun, Ye Shi, Jingya Wang, Hoang Duong Tuan, H. Vincent Poor, Dacheng Tao
Alternating Differentiation for Optimization Layers. ICLR (2023)
Dingfeng Shi, Qiong Cao, Yujie Zhong, Shan An, Jian Cheng, Haogang Zhu, Dacheng Tao
Temporal Action Localization with Enhanced Instant Discriminability. CoRR (2023)
Yangyang Xu, Yibo Yang, Bernard Ghanem, Lefei Zhang, Du Bo, Dacheng Tao
Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction. CoRR (2023)
Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. ACL (1) (2023)
Dalu Guo, Chang Xu, Dacheng Tao
Bilinear Graph Networks for Visual Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Youjian Zhang, Chaoyue Wang, Dacheng Tao
Neural Maximum a Posteriori Estimation on Unpaired Data for Motion Deblurring. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Haibo Qiu, Baosheng Yu, Yixin Chen, Dacheng Tao
PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation. CoRR (2023)
Yifan Shi, Yingqi Liu, Yan Sun, Zihao Lin, Li Shen, Xueqian Wang, Dacheng Tao
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training. CoRR (2023)
Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. EMNLP (2023)
Zhihao Cheng, Li Shen, Dacheng Tao
Off-policy Imitation Learning from Visual Inputs. ICRA (2023)
Hongling Zheng, Li Shen, Anke Tang, Yong Luo, Han Hu, Bo Du, Dacheng Tao
Learn From Model Beyond Fine-Tuning: A Survey. CoRR (2023)
Di Wang, Qiming Zhang, Yufei Xu, Jing Zhang, Bo Du, Dacheng Tao, Liangpei Zhang
Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Haoyu He, Jing Zhang, Bohan Zhuang, Jianfei Cai, Dacheng Tao
End-to-End One-Shot Human Parsing. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning. CoRR (2023)
Nan Yin, Li Shen, Mengzhu Wang, Xiao Luo, Zhigang Luo, Dacheng Tao
OMG: Towards Effective Graph Classification Against Label Noise. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Jinkai Tian, Xiaoyu Sun, Yuxuan Du, Shanshan Zhao, Qing Liu, Kaining Zhang, Wei Yi, Wanrong Huang, Chaoyue Wang, Xingyao Wu, Min-Hsiu Hsieh, Tongliang Liu, Wenjing Yang, Dacheng Tao
Recent Advances for Quantum Neural Networks in Generative Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger
Unifying Flow, Stereo and Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Qihuang Zhong, Liang Ding, Keqin Peng, Juhua Liu, Bo Du, Li Shen, Yibing Zhan, Dacheng Tao
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE. CoRR (2023)
Di Wang, Jing Zhang, Bo Du, Minqiang Xu, Lin Liu, Dacheng Tao, Liangpei Zhang
SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model. NeurIPS (2023)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT. CoRR (2023)
Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao
Improving the Model Consistency of Decentralized Federated Learning. ICML (2023)
Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao
Structured Cooperative Learning with Graphical Model Priors. CoRR (2023)
Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Tongliang Liu, Bo Du, Dacheng Tao
DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting. CVPR (2023)
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
Prompt-Tuning Decision Transformer with Preference Ranking. CoRR (2023)
Chao Zhang, Xinyu Chen, Wensheng Li, Lixue Liu, Wei Wu, Dacheng Tao
Understanding Deep Neural Networks via Linear Separability of Hidden Layers. CoRR (2023)
Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao
A Survey on Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao
Dynamic Contrastive Distillation for Image-Text Retrieval. IEEE Trans. Multim. 25 (2023)
Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang
Learning to Generalize Provably in Learning to Optimize. AISTATS (2023)
Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Bo Du, Dacheng Tao
DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer. AAAI (2023)
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
Towards Making the Most of ChatGPT for Machine Translation. EMNLP (Findings) (2023)
Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang
Upcycling Models Under Domain and Category Shift. CVPR (2023)
Shengcong Chen, Changxing Ding, Dacheng Tao, Hao Chen
DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation. MICCAI (6) (2023)
Di Wang, Jing Zhang, Bo Du, Liangpei Zhang, Dacheng Tao
DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification. CoRR (2023)
Feng Yan, Xiaoheng Jiang, Yang Lu, Lisha Cui, Shupan Li, Jiale Cao, Mingliang Xu, Dacheng Tao
Global Context Aggregation Network for Lightweight Saliency Detection of Surface Defects. CoRR (2023)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang
Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. WACV (Workshops) (2023)
Yi Wu, Ziqiang Li, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, Dacheng Tao
Domain Re-Modulation for Few-Shot Generative Domain Adaptation. CoRR (2023)
Jizhizi Li, Jing Zhang, Dacheng Tao
Deep Image Matting: A Comprehensive Survey. CoRR (2023)
Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond. Int. J. Comput. Vis. 131 (5) (2023)
Xinghao Yang, Yongshun Gong, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu
Semantic-Preserving Adversarial Text Attacks. IEEE Trans. Sustain. Comput. 8 (4) (2023)
Kaiwen Yang, Tao Shen, Xinmei Tian, Xiubo Geng, Chongyang Tao, Dacheng Tao, Tianyi Zhou
Good Questions Help Zero-Shot Image Reasoning. CoRR (2023)
Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao
Improving Heterogeneous Model Reuse by Density Estimation. IJCAI (2023)
Zheng Zhang, Donglin Yang, Yaqi Xia, Liang Ding, Dacheng Tao, Xiaobo Zhou, Dazhao Cheng
MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism. IPDPS (2023)
Hao Sun, Li Shen, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data. CoRR (2023)
Changtong Zan, Liang Ding, Li Shen, Yibin Lei, Yibing Zhan, Weifeng Liu, Dacheng Tao
Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation. CoRR (2023)
Pengfei Wang, Changxing Ding, Wentao Tan, Mingming Gong, Kui Jia, Dacheng Tao
Uncertainty-Aware Clustering for Unsupervised Domain Adaptive Object Re-Identification. IEEE Trans. Multim. 25 (2023)
Jie Gui, Tuo Chen, Qiong Cao, Zhenan Sun, Hao Luo, Dacheng Tao
A Survey of Self-Supervised Learning from Multiple Perspectives: Algorithms, Theory, Applications and Future Trends. CoRR (2023)
Xiangtai Li, Shilin Xu, Yibo Yang, Haobo Yuan, Guangliang Cheng, Yunhai Tong, Zhouchen Lin, Dacheng Tao
PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation. CoRR (2023)
Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao
Make Landscape Flatter in Differentially Private Federated Learning. CVPR (2023)
Yadi Wang, Jun Wang, Dacheng Tao
Neurodynamics-driven supervised feature selection. Pattern Recognit. 136 (2023)
Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. CoRR (2023)
Mingjin Zhang, Qianqian Wu, Jing Zhang, Xinbo Gao, Jie Guo, Dacheng Tao
Fluid Micelle Network for Image Super-Resolution Reconstruction. IEEE Trans. Cybern. 53 (1) (2023)
Qinglun Li, Li Shen, Guanghao Li, Quanjun Yin, Dacheng Tao
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning. CoRR (2023)
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
MerA: Merging Pretrained Adapters For Few-Shot Learning. CoRR (2023)
Liu Liu, Ji Liu, Cho-Jui Hsieh, Dacheng Tao
Stochastically Controlled Compositional Gradient for Composition Problems. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
Self-Evolution Learning for Discriminative Language Model Pretraining. CoRR (2023)
Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman. NeurIPS (2023)
Hao Liu, Muhan Zhang, Zehao Dong, Lecheng Kong, Yixin Chen, Bradley A. Fritz, Dacheng Tao, Christopher R. King
Time Associated Meta Learning for Clinical Prediction. CoRR (2023)
Ting Zhe, Yongqian Li, Jing Zhang, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
FHA-Kitchens: A Novel Dataset for Fine-Grained Hand Action Recognition in Kitchen Scenes. CoRR (2023)
Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models. CoRR (2023)
Jingwei Zhang, Tongliang Liu, Dacheng Tao
An Optimal Transport Analysis on Generalization in Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Guanghao Li, Li Shen, Yan Sun, Yue Hu, Han Hu, Dacheng Tao
Subspace based Federated Unlearning. CoRR (2023)
Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. CoRR (2023)
Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages. CoRR (2023)
Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. CoRR (2023)
Xinqi Zhu, Chang Xu, Dacheng Tao
ContraFeat: Contrasting Deep Features for Semantic Discovery. AAAI (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dacheng Tao