Dacheng Tao

ORCID

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 1412

Top Venues

CoRR

IEEE Trans. Image Process.

CVPR

IEEE Trans. Neural Networks Learn. Syst.

Birkbeck, University of London, UK (PHD)

This page only lists publications with an associated author ORCID identifier.

Education History

Birkbeck, University of London, UK

PHD

Publications

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)
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)
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)
Zhihao Cheng, Li Shen, Dacheng Tao
Off-policy Imitation Learning from Visual Inputs. ICRA (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)
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)
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)
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)
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)
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)
Di Wang, Jing Zhang, Bo Du, Liangpei Zhang, Dacheng Tao
DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification. 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)
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)
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)
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)
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)
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)
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)
Kunping Huang, Sen Zhang, Jing Zhang, Dacheng Tao
Event-based Simultaneous Localization and Mapping: A Comprehensive Survey. CoRR (2023)
Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao, Chris Ding, Dacheng Tao
Tensorized Bipartite Graph Learning for Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. USENIX Security Symposium (2023)
Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Dongsheng Li, Dacheng Tao
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. CoRR (2023)
Zhihao Cheng, Liu Liu, Aishan Liu, Hao Sun, Meng Fang, Dacheng Tao
On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Dacheng Tao, Xuelong Li
VTAE: Variational Transformer Autoencoder with Manifolds Learning. CoRR (2023)
Qianyu Zhou, Xiangtai Li, Lu He, Yibo Yang, Guangliang Cheng, Yunhai Tong, Lizhuang Ma, Dacheng Tao
TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao
Symmetric Pruning in Quantum Neural Networks. ICLR (2023)
Danuta Rutkowska, Piotr Duda, Jinde Cao, Leszek Rutkowski, Aleksander Byrski, Maciej Jaworski, Dacheng Tao
convergence of stream data mining algorithms based on probabilistic neural networks. Inf. Sci. 631 (2023)
Cheng Wen, Jianzhi Long, Baosheng Yu, Dacheng Tao
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis. 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. CoRR (2023)
Yixing Liu, Yan Sun, Zhengtao Ding, Li Shen, Bo Liu, Dacheng Tao
Enhance Local Consistency in Federated Learning: A Multi-Step Inertial Momentum Approach. CoRR (2023)
Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao
Fusion of Global and Local Knowledge for Personalized Federated Learning. CoRR (2023)
Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning. CoRR (2023)
Di Wang, Bo Du, Liangpei Zhang, Dacheng Tao
HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search. CoRR (2023)
Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao
Offline Quantum Reinforcement Learning in a Conservative Manner. AAAI (2023)
Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization. CVPR (2023)
Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao
Make Landscape Flatter in Differentially Private Federated Learning. CoRR (2023)
Shengcong Chen, Changxing Ding, Minfeng Liu, Jun Cheng, Dacheng Tao
CPP-Net: Context-Aware Polygon Proposal Network for Nucleus Segmentation. IEEE Trans. Image Process. 32 (2023)
Jing Jing, Ziyang Liu, Hao Guan, Wanlin Zhu, Zhe Zhang, Xia Meng, Jian Cheng, Yuesong Pan, Yong Jiang, Yilong Wang, Haijun Niu, Xingquan Zhao, Wei Wen, Jinxi Lin, Wei Li, Hao Li, Perminder S. Sachdev, Tao Liu, Zixiao Li, Dacheng Tao, Yongjun Wang
A Deep Learning System to Predict Recurrence and Disability Outcomes in Patients with Transient Ischemic Attack or Ischemic Stroke. Adv. Intell. Syst. 5 (4) (2023)
Cheng Wen, Baosheng Yu, Dacheng Tao
Learnable Skeleton-Aware 3D Point Cloud Sampling. CVPR (2023)
Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang
Dynamic Focus-aware Positional Queries for Semantic Segmentation. CVPR (2023)
Rong Bao, Rui Zheng, Liang Ding, Qi Zhang, Dacheng Tao
CASN: Class-Aware Score Network for Textual Adversarial Detection. ACL (1) (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. CoRR (2023)
Haowen Chen, Fengxiang He, Shiye Lei, Dacheng Tao
Spectral complexity-scaled generalisation bound of complex-valued neural networks. Artif. Intell. 322 (2023)
Qingyue Wang, Liang Ding, Yanan Cao, Zhiliang Tian, Shi Wang, Dacheng Tao, Li Guo
Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models. CoRR (2023)
Chang Li, Dongjin Song, Dacheng Tao
HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings. ICLR (2023)
Zongqi Liu, Xueguan Song, Chao Zhang, Yunsheng Ma, Dacheng Tao
RSAL-iMFS: A framework of randomized stacking with active learning for incremental multi-fidelity surrogate modeling. Eng. Appl. Artif. Intell. 120 (2023)
Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao
Fusion of Global and Local Knowledge for Personalized Federated Learning. Trans. Mach. Learn. Res. 2023 (2023)
Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao
VanillaNet: the Power of Minimalism in Deep Learning. CoRR (2023)
Haibin He, Jing Zhang, Mengyang Xu, Juhua Liu, Bo Du, Dacheng Tao
Scalable Mask Annotation for Video Text Spotting. CoRR (2023)
Xiangtai Li, Hao He, Yibo Yang, Henghui Ding, Kuiyuan Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao
Improving Video Instance Segmentation via Temporal Pyramid Routing. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Pengfei Wang, Changxing Ding, Zhiyin Shao, Zhibin Hong, Shengli Zhang, Dacheng Tao
Quality-Aware Part Models for Occluded Person Re-Identification. IEEE Trans. Multim. 25 (2023)
Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. ICML (2023)
Hongwei Yi, Hualin Liang, Yifei Liu, Qiong Cao, Yandong Wen, Timo Bolkart, Dacheng Tao, Michael J. Black
Generating Holistic 3D Human Motion from Speech. CVPR (2023)
Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Jun Cheng, Dacheng Tao
Human-imperceptible, Machine-recognizable Images. CoRR (2023)
Guanpu Chen, Gehui Xu, Fengxiang He, Yiguang Hong, Leszek Rutkowski, Dacheng Tao
Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms. CoRR (2023)
Yuxuan Du, Yibo Yang, Tongliang Liu, Zhouchen Lin, Bernard Ghanem, Dacheng Tao
ShadowNet for Data-Centric Quantum System Learning. CoRR (2023)
Qingyu Lu, Baopu Qiu, Liang Ding, Liping Xie, Dacheng Tao
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPT. CoRR (2023)
Haibo Qiu, Baosheng Yu, Dacheng Tao
Collect-and-Distribute Transformer for 3D Point Cloud Analysis. CoRR (2023)
Meng Lan, Jing Zhang, Lefei Zhang, Dacheng Tao
Learning to Learn Better for Video Object Segmentation. AAAI (2023)
Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. CoRR (2023)
Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. ACL (Findings) (2023)
Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang
Upcycling Models under Domain and Category Shift. CoRR (2023)
Tao Chen, Liang Lv, Di Wang, Jing Zhang, Yue Yang, Zeyang Zhao, Chen Wang, Xiaowei Guo, Hao Chen, Qingye Wang, Yufei Xu, Qiming Zhang, Bo Du, Liangpei Zhang, Dacheng Tao
Revolutionizing Agrifood Systems with Artificial Intelligence: A Survey. CoRR (2023)
Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao
Quantum Imitation Learning. CoRR (2023)
Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. ICML (2023)
Yuchun Miao, Lefei Zhang, Liangpei Zhang, Dacheng Tao
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration. CoRR (2023)
Yajing Kong, Liu Liu, Maoying Qiao, Zhen Wang, Dacheng Tao
Trust-Region Adaptive Frequency for Online Continual Learning. Int. J. Comput. Vis. 131 (7) (2023)
Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao
FedABC: Targeting Fair Competition in Personalized Federated Learning. AAAI (2023)
Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan
Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case. ICLR (2023)
Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao
Tilted Sparse Additive Models. ICML (2023)
Wenjie Xuan, Shanshan Zhao, Yu Yao, Juhua Liu, Tongliang Liu, Yixin Chen, Bo Du, Dacheng Tao
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dacheng Tao