Dacheng Tao

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 1481

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)
Simin Li, Huangxinxin Xu, Jiakai Wang, Ruixiao Xu, Aishan Liu, Fazhi He, Xianglong Liu, Dacheng Tao
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. IEEE Trans. Image Process. 33 (2024)
Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models. CoRR (2024)
Jingcai Guo, Zhijie Rao, Song Guo, Jingren Zhou, Dacheng Tao
Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects. CoRR (2024)
Yang Qian, Yuxuan Du, Dacheng Tao
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction. Quantum Mach. Intell. 6 (1) (2024)
Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Xuebo Liu, Min Zhang, Dacheng Tao
Parameter-Efficient and Student-Friendly Knowledge Distillation. IEEE Trans. Multim. 26 (2024)
Sihan Ma, Jing Zhang, Qiong Cao, Dacheng Tao
PoseBench: Benchmarking the Robustness of Pose Estimation Models under Corruptions. CoRR (2024)
Yang Qian, Xinbiao Wang, Yuxuan Du, Xingyao Wu, Dacheng Tao
The Dilemma of Quantum Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Qingyu Lu, Baopu Qiu, Liang Ding, Kanjian Zhang, Tom Kocmi, Dacheng Tao
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models. ACL (Findings) (2024)
Ziyang Xu, Keqin Peng, Liang Ding, Dacheng Tao, Xiliang Lu
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction. CoRR (2024)
Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. LREC/COLING (2024)
Chen Zhao, Ting Yu, Zhigao Zheng, Yuanyuan Zhu, Song Jin, Bo Du, Dacheng Tao
SpeedCore: Space-efficient and Dependency-aware GPU Parallel Framework for Core Decomposition. ICPP (2024)
Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao
Revisiting Knowledge Distillation for Autoregressive Language Models. ACL (1) (2024)
Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
Revisiting Demonstration Selection Strategies in In-Context Learning. ACL (1) (2024)
Chen Zhao, Ting Yu, Zhigao Zheng, Yuanyuan Zhu, Song Jin, Bo Du, Dacheng Tao
PICO: Accelerating All k-Core Paradigms on GPU. APNet (2024)
Changtong Zan, Liang Ding, Li Shen, Yibing Zhen, Weifeng Liu, Dacheng Tao
Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning. CoRR (2024)
Di Wang, Meiqi Hu, Yao Jin, Yuchun Miao, Jiaqi Yang, Yichu Xu, Xiaolei Qin, Jiaqi Ma, Lingyu Sun, Chenxing Li, Chuan Fu, Hongruixuan Chen, Chengxi Han, Naoto Yokoya, Jing Zhang, Minqiang Xu, Lin Liu, Lefei Zhang, Chen Wu, Bo Du, Dacheng Tao, Liangpei Zhang
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model. 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)
Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. CoRR (2024)
Zhiyao Ren, Yibing Zhan, Baosheng Yu, Liang Ding, Dacheng Tao
Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation. CoRR (2024)
Di Wang, Jing Zhang, Minqiang Xu, Lin Liu, Dong-Sheng Wang, Erzhong Gao, Chengxi Han, Haonan Guo, Bo Du, Dacheng Tao, Liangpei Zhang
MTP: Advancing Remote Sensing Foundation Model via Multitask Pretraining. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (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)
Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, Dacheng Tao
TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation. AAAI (2024)
Di Wang, Jing Zhang, Minqiang Xu, Lin Liu, Dongsheng Wang, Erzhong Gao, Chengxi Han, Haonan Guo, Bo Du, Dacheng Tao, Liangpei Zhang
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining. CoRR (2024)
Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao
Q-value Regularized Transformer for Offline Reinforcement Learning. CoRR (2024)
Jianzong Wu, Xiangtai Li, Xia Li, Henghui Ding, Yunhai Tong, Dacheng Tao
Toward Robust Referring Image Segmentation. IEEE Trans. Image Process. 33 (2024)
Xudong Tian, Zhizhong Zhang, Cong Wang, Wensheng Zhang, Yanyun Qu, Lizhuang Ma, Zongze Wu, Yuan Xie, Dacheng Tao
Variational Distillation for Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Rong Bao, Rui Zheng, Shihan Dou, Xiao Wang, Enyu Zhou, Bo Wang, Qi Zhang, Liang Ding, Dacheng Tao
Aligning Large Language Models from Self-Reference AI Feedback with one General Principle. CoRR (2024)
Wenhao Sun, Rong-Cheng Tu, Jingyi Liao, Dacheng Tao
Diffusion Model-Based Video Editing: A Survey. CoRR (2024)
Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao
-Norm Bounded Adversarial Perturbations via Gated Batch Normalization. Int. J. Comput. Vis. 132 (6) (2024)
Haimei Zhao, Jing Zhang, Zhuo Chen, Bo Yuan, Dacheng Tao
On Robust Cross-view Consistency in Self-supervised Monocular Depth Estimation. Mach. Intell. Res. 21 (3) (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)
Mengya Han, Yibing Zhan, Yong Luo, Bo Du, Han Hu, Yonggang Wen, Dacheng Tao
Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Luofeng Liao, Li Shen, Jia Duan, Mladen Kolar, Dacheng Tao
Local AdaGrad-type algorithm for stochastic convex-concave optimization. Mach. Learn. 113 (4) (2024)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. ACL (Findings) (2024)
Shi Fu, Fengxiang He, Xinmei Tian, Dacheng Tao
Convergence of Bayesian Bilevel Optimization. ICLR (2024)
Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao
Revisiting Knowledge Distillation for Autoregressive Language Models. CoRR (2024)
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
Learning Multi-Agent Communication from Graph Modeling Perspective. CoRR (2024)
Kun Wei, Da Chen, Yuhong Li, Xu Yang, Cheng Deng, Dacheng Tao
Incremental Embedding Learning With Disentangled Representation Translation. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Danuta Rutkowska, Piotr Duda, Jinde Cao, Maciej Jaworski, Marek Kisiel-Dorohinicki, Dacheng Tao, Leszek Rutkowski
Probabilistic neural networks for incremental learning over time-varying streaming data with application to air pollution monitoring. Appl. Soft Comput. 161 (2024)
Haiyun Li, Qihuang Zhong, Ke Zhu, Juhua Liu, Bo Du, Dacheng Tao
Iterative Data Augmentation with Large Language Models for Aspect-based Sentiment Analysis. CoRR (2024)
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. ICLR (2024)
Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao
Topology-aware Embedding Memory for Learning on Expanding Graphs. CoRR (2024)
Haoyu He, Jianfei Cai, Jing Liu, Zizheng Pan, Jing Zhang, Dacheng Tao, Bohan Zhuang
Pruning Self-Attentions Into Convolutional Layers in Single Path. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (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)
Yisong Xiao, Aishan Liu, QianJia Cheng, Zhenfei Yin, Siyuan Liang, Jiapeng Li, Jing Shao, Xianglong Liu, Dacheng Tao
GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing. CoRR (2024)
Qidong Liu, Cheng Long, Jie Zhang, Mingliang Xu, Dacheng Tao
Aspect-Aware Graph Attention Network for Heterogeneous Information Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao
Topology-aware Embedding Memory for Continual Learning on Expanding Networks. KDD (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)
Jianbin Zheng, Minghui Hu, Zhongyi Fan, Chaoyue Wang, Changxing Ding, Dacheng Tao, Tat-Jen Cham
Trajectory Consistency Distillation. CoRR (2024)
Zonghao Ying, Aishan Liu, Tianyuan Zhang, Zhengmin Yu, Siyuan Liang, Xianglong Liu, Dacheng Tao
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt. CoRR (2024)
Haimei Zhao, Qiming Zhang, Shanshan Zhao, Zhe Chen, Jing Zhang, Dacheng Tao
SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection. AAAI (2024)
Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao
Temporal Feature Matters: A Framework for Diffusion Model Quantization. CoRR (2024)
Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang
One For All: Towards Training One Graph Model For All Classification Tasks. ICLR (2024)
Yikun Wang, Rui Zheng, Liang Ding, Qi Zhang, Dahua Lin, Dacheng Tao
Uncertainty Aware Learning for Language Model Alignment. CoRR (2024)
Zhengwei Tao, Ting-En Lin, Xiancai Chen, Hangyu Li, Yuchuan Wu, Yongbin Li, Zhi Jin, Fei Huang, Dacheng Tao, Jingren Zhou
A Survey on Self-Evolution of Large Language Models. CoRR (2024)
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization. ICLR (2024)
Wenjie Xuan, Yufei Xu, Shanshan Zhao, Chaoyue Wang, Juhua Liu, Bo Du, Dacheng Tao
When ControlNet Meets Inexplicit Masks: A Case Study of ControlNet on its Contour-following Ability. CoRR (2024)
Jianzong Wu, Xiangtai Li, Shilin Xu, Haobo Yuan, Henghui Ding, Yibo Yang, Xia Li, Jiangning Zhang, Yunhai Tong, Xudong Jiang, Bernard Ghanem, Dacheng Tao
Towards Open Vocabulary Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao
Grounded Affordance from Exocentric View. Int. J. Comput. Vis. 132 (6) (2024)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. CoRR (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)
Yang Yang, Chaoyue Wang, Xiaojie Guo, Dacheng Tao
Robust Unpaired Image Dehazing via Density and Depth Decomposition. Int. J. Comput. Vis. 132 (5) (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)
Xinbiao Wang, Yuxuan Du, Kecheng Liu, Yong Luo, Bo Du, Dacheng Tao
Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem. CoRR (2024)
Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao
Towards Theoretical Understandings of Self-Consuming Generative Models. CoRR (2024)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Xincheng Shuai, Henghui Ding, Xingjun Ma, Rongcheng Tu, Yu-Gang Jiang, Dacheng Tao
A Survey of Multimodal-Guided Image Editing with Text-to-Image Diffusion Models. CoRR (2024)
Guanpu Chen, Gehui Xu, Fengxiang He, Dacheng Tao, Thomas Parisini, Karl Henrik Johansson
Inverse learning of black-box aggregator for robust Nash equilibrium. CoRR (2024)
Changcheng Xiao, Qiong Cao, Yujie Zhong, Long Lan, Xiang Zhang, Zhigang Luo, Dacheng Tao
MotionTrack: Learning motion predictor for multiple object tracking. Neural Networks 179 (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)
Chen Zhao, Ting Yu, Zhigao Zheng, Song Jin, Jiawei Jiang, Bo Du, Dacheng Tao
PICO: Accelerating All k-Core Paradigms on GPU. 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)
Youfa Liu, Bo Du, Yongyong Chen, Lefei Zhang, Mingming Gong, Dacheng Tao
Convex-Concave Tensor Robust Principal Component Analysis. Int. J. Comput. Vis. 132 (5) (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)
Haimei Zhao, Jing Zhang, Zhuo Chen, Shanshan Zhao, Dacheng Tao
UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather. CoRR (2024)
Qihuang Zhong, Kang Wang, Ziyang Xu, Juhua Liu, Liang Ding, Bo Du, Dacheng Tao
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Reasoners. CoRR (2024)
Kaixin Huang, Li Shen, Chen Zhao, Chun Yuan, Dacheng Tao
Solving Continual Offline Reinforcement Learning with Decision Transformer. CoRR (2024)
Zhenyu Xu, Ziliang Ren, Qieshi Zhang, Jie Lou, Dacheng Tao, Jun Cheng
Semantic-focused Patch Tokenizer with Multi-branch Mixer for Visual Place Recognition. ICRA (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)
Hongyu Li, Liang Ding, Meng Fang, Dacheng Tao
Revisiting Catastrophic Forgetting in Large Language Model Tuning. CoRR (2024)
Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao
Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao
FREE: Faster and Better Data-Free Meta-Learning. CoRR (2024)
Tengfei Yu, Xuebo Liu, Liang Ding, Kehai Chen, Dacheng Tao, Min Zhang
Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation. ACL (1) (2024)
Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. ACL (Findings) (2024)
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
Learning Multi-Agent Communication from Graph Modeling Perspective. ICLR (2024)
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR (2024)
Xikun Zhang, Dongjin Song, Dacheng Tao
Continual Learning on Graphs: Challenges, Solutions, and Opportunities. CoRR (2024)
Yiyang Chen, Lunhao Duan, Shanshan Zhao, Changxing Ding, Dacheng Tao
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis. CoRR (2024)
Xuming An, Dui Wang, Li Shen, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
Federated Learning with Only Positive Labels by Exploring Label Correlations. CoRR (2024)
Shiye Lei, Dacheng Tao
A Comprehensive Survey of Dataset Distillation. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Xiaofeng Cong, Yu Zhao, Jie Gui, Junming Hou, Dacheng Tao
A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning. CoRR (2024)
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. WWW (2024)
Xinjian Huang, Weiwei Liu, Bo Du, Dacheng Tao
Leveraged Matrix Completion With Noise. IEEE Trans. Cybern. 54 (8) (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)
Xiaohan Xu, Ming Li, Chongyang Tao, Tao Shen, Reynold Cheng, Jinyang Li, Can Xu, Dacheng Tao, Tianyi Zhou
A Survey on Knowledge Distillation of Large Language Models. CoRR (2024)

Dacheng Tao.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Dacheng Tao