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2020 – today
- 2025
[j9]Yingping Liang
, Ying Fu, Yutao Hu, Wenqi Shao, Jiaming Liu, Debing Zhang:
Flow-Anything: Learning Real-World Optical Flow Estimation From Large-Scale Single-View Images. IEEE Trans. Pattern Anal. Mach. Intell. 47(10): 8435-8452 (2025)- [c22]Junfeng Tian, Da Zheng, Yang Chen, Rui Wang, Colin Zhang, Debing Zhang:
Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models. ACL (1) 2025: 1223-1242 - [c21]Xin Zheng, Jie Lou, Boxi Cao, Xueru Wen, Yuqiu Ji, Hongyu Lin, Yaojie Lu, Xianpei Han, Debing Zhang, Le Sun:
Critic-CoT: Boosting the Reasoning Abilities of Large Language Model via Chain-of-Thought Critic. ACL (Findings) 2025: 1768-1806 - [c20]Xueru Wen, Jie Lou, Xinyu Lu, Yuqiu Ji, Xinyan Guan, Yaojie Lu, Hongyu Lin, Ben He, Xianpei Han, Debing Zhang, Le Sun:
On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation. ACL (Findings) 2025: 5215-5231 - [c19]Xueru Wen, Jie Lou, Zichao Li, Yaojie Lu, XingYu, Yuqiu Ji, Guohai Xu, Hongyu Lin, Ben He, Xianpei Han, Le Sun, Debing Zhang:
Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch. ACL (1) 2025: 15187-15211 - [c18]Xueru Wen, Jie Lou, Yaojie Lu, Hongyu Lin, XingYu, Xinyu Lu, Ben He, Xianpei Han, Debing Zhang, Le Sun:
Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? ICLR 2025 - [i30]Haotian Xu, Xing Wu, Weinong Wang, Zhongzhi Li, Da Zheng, Boyuan Chen, Yi Hu, Shijia Kang, Jiaming Ji, Yingying Zhang, Zhijiang Guo, Yaodong Yang, Muhan Zhang, Debing Zhang:
RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? CoRR abs/2501.11284 (2025) - [i29]Chaochen Gao, Xing Wu, Zijia Lin, Debing Zhang, Songlin Hu:
NExtLong: Toward Effective Long-Context Training without Long Documents. CoRR abs/2501.12766 (2025) - [i28]Zhiyuan Fan, Weinong Wang, Xing Wu, Debing Zhang:
SedarEval: Automated Evaluation using Self-Adaptive Rubrics. CoRR abs/2501.15595 (2025) - [i27]Xueru Wen, Jie Lou, Xinyu Lu, Junjie Yang, Yanjiang Liu, Yaojie Lu, Debing Zhang, XingYu:
Scalable Oversight for Superhuman AI via Recursive Self-Critiquing. CoRR abs/2502.04675 (2025) - [i26]Xueru Wen, Jie Lou, Zichao Li, Yaojie Lu, Xing Yu, Yuqiu Ji, Guohai Xu, Hongyu Lin, Ben He, Xianpei Han, Le Sun, Debing Zhang:
Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch. CoRR abs/2502.17173 (2025) - [i25]Pengwei Tang, Yong Liu, Dongjie Zhang, Xing Wu, Debing Zhang:
LoRA-Null: Low-Rank Adaptation via Null Space for Large Language Models. CoRR abs/2503.02659 (2025) - [i24]Zichao Li, Xueru Wen, Jie Lou, Yuqiu Ji, Yaojie Lu, Xianpei Han, Debing Zhang, Le Sun:
The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models. CoRR abs/2503.03122 (2025) - [i23]Yiwei Ma, Guohai Xu, Xiaoshuai Sun, Jiayi Ji, Jie Lou, Debing Zhang, Rongrong Ji:
MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning. CoRR abs/2503.20502 (2025) - [i22]Chaochen Gao, Xing Wu, Zijia Lin, Debing Zhang, Songlin Hu:
LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions. CoRR abs/2505.17134 (2025) - [i21]Yifei Wang, Weimin Bai, Colin Zhang, Debing Zhang, Weijian Luo, He Sun:
Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction. CoRR abs/2505.20755 (2025) - [i20]Bi Huo, Bin Tu, Cheng Qin, Da Zheng, Debing Zhang, Dongjie Zhang, En Li, Fu Guo, Jian Yao, Jie Lou, Junfeng Tian, Li Hu, Ran Zhu, Shengdong Chen, Shuo Liu, Su Guang, Te Wo, Weijun Zhang, Xiaoming Shi, Xinxin Peng, Xing Wu, Yawen Liu, Yuqiu Ji, Ze Wen, Zhenhai Liu, Zichao Li, Zilong Liao:
dots.llm1 Technical Report. CoRR abs/2506.05767 (2025) - [i19]Yingping Liang, Ying Fu, Yutao Hu, Wenqi Shao, Jiaming Liu, Debing Zhang:
Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images. CoRR abs/2506.07740 (2025) - [i18]Chongjie Si, Debing Zhang, Wei Shen:
AdaMuon: Adaptive Muon Optimizer. CoRR abs/2507.11005 (2025) - [i17]Junlong Jia, Xing Wu, Chaochen Gao, Ziyang Chen, Zijia Lin, Zhongzhi Li, Weinong Wang, Haotian Xu, Donghui Jin, Debing Zhang, Binghui Guo:
LiteLong: Resource-Efficient Long-Context Data Synthesis for LLMs. CoRR abs/2509.15568 (2025) - 2024
- [j8]Weijia Wu, Yuanqiang Cai, Chunhua Shen, Debing Zhang, Ying Fu, Hong Zhou, Ping Luo:
End-to-End Video Text Spotting with Transformer. Int. J. Comput. Vis. 132(9): 4019-4035 (2024) - [c17]Shiyi Chen, Zeyu Wan, Shiyang Yan, Chun Zhang, Weiyi Zhang, Qiang Li, Debing Zhang, Fasih Ud Din Farrukh:
SLR: Learning Quadruped Locomotion without Privileged Information. CoRL 2024: 3212-3224 - [c16]Zhiyuan Fan, Weinong Wang, Xing Wu, Debing Zhang:
SedarEval: Automated Evaluation using Self-Adaptive Rubrics. EMNLP (Findings) 2024: 16916-16930 - [i16]Shiyi Chen, Zeyu Wan, Shiyang Yan, Chun Zhang, Weiyi Zhang, Qiang Li, Debing Zhang, Fasih Ud Din Farrukh:
SLR: Learning Quadruped Locomotion without Privileged Information. CoRR abs/2406.04835 (2024) - [i15]Xin Zheng, Jie Lou, Boxi Cao, Xueru Wen, Yuqiu Ji, Hongyu Lin, Yaojie Lu, Xianpei Han, Debing Zhang, Le Sun:
Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic. CoRR abs/2408.16326 (2024) - [i14]Junfeng Tian, Da Zheng, Yang Cheng, Rui Wang, Colin Zhang, Debing Zhang:
Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models. CoRR abs/2409.04774 (2024) - [i13]Huimu Yu, Xing Wu, Weidong Yin, Debing Zhang, Songlin Hu:
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning. CoRR abs/2410.02229 (2024) - [i12]Xueru Wen, Jie Lou, Yaojie Lu, Hongyu Lin, Xing Yu, Xinyu Lu, Ben He, Xianpei Han, Debing Zhang, Le Sun:
Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? CoRR abs/2410.05584 (2024) - [i11]Weijian Luo, Colin Zhang, Debing Zhang, Zhengyang Geng:
Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models. CoRR abs/2410.20898 (2024) - 2023
- [j7]Tao Zhang, Ying Fu, Debing Zhang, Chun Hu:
Deep external and internal learning for noisy compressive sensing. Neurocomputing 531: 61-73 (2023) - [c15]Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu:
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CVPR Workshops 2023: 2238-2247 - [c14]Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai:
One-shot Implicit Animatable Avatars with Model-based Priors. ICCV 2023: 8940-8951 - [c13]Yingping Liang, Jiaming Liu, Debing Zhang, Ying Fu:
MPI-Flow: Learning Realistic Optical Flow with Multiplane Images. ICCV 2023: 13811-13822 - [c12]Zichun Wang, Yulun Zhang, Debing Zhang, Ying Fu:
Recurrent Self-Supervised Video Denoising with Denser Receptive Field. ACM Multimedia 2023: 7363-7372 - [i10]Weiyi Zhang, Yushi Guo, Liting Niu, Peijun Li, Chun Zhang, Zeyu Wan, Jiaxiang Yan, Fasih Ud Din Farrukh, Debing Zhang:
LP-SLAM: Language-Perceptive RGB-D SLAM system based on Large Language Model. CoRR abs/2303.10089 (2023) - [i9]Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu:
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CoRR abs/2304.06116 (2023) - [i8]Zichun Wang, Yulun Zhang, Debing Zhang, Ying Fu:
Recurrent Self-Supervised Video Denoising with Denser Receptive Field. CoRR abs/2308.03608 (2023) - [i7]Yingping Liang, Jiaming Liu, Debing Zhang, Ying Fu:
MPI-Flow: Learning Realistic Optical Flow with Multiplane Images. CoRR abs/2309.06714 (2023) - 2022
- [j6]Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang:
Joint Camera Spectral Response Selection and Hyperspectral Image Recovery. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 256-272 (2022) - [j5]Weiyi Zhang, Yancao Jiang, Fasih Ud Din Farrukh, Chun Zhang, Debing Zhang, Guangqi Wang:
LORM: a novel reinforcement learning framework for biped gait control. PeerJ Comput. Sci. 8: e927 (2022) - [i6]Weijia Wu, Debing Zhang, Ying Fu, Chunhua Shen, Hong Zhou, Yuanqiang Cai, Ping Luo:
End-to-End Video Text Spotting with Transformer. CoRR abs/2203.10539 (2022) - [i5]Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai:
One-shot Implicit Animatable Avatars with Model-based Priors. CoRR abs/2212.02469 (2022) - 2021
- [c11]Xiang An, Xuhan Zhu, Yuan Gao, Yang Xiao, Yongle Zhao, Ziyong Feng, Lan Wu, Bin Qin, Ming Zhang, Debing Zhang, Ying Fu:
Partial FC: Training 10 Million Identities on a Single Machine. ICCVW 2021: 1445-1449 - [c10]Debing Zhang, Yuanqiang Cai, Sibo Wang, Jiahong Li, Zhuang Li, Yejun Tang, Hong Zhou:
A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer. NeurIPS Datasets and Benchmarks 2021 - [i4]Jue Wang, Haofan Wang, Jincan Deng, Weijia Wu, Debing Zhang:
EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling. CoRR abs/2109.04699 (2021) - [i3]Weijia Wu, Yuanqiang Cai, Debing Zhang, Sibo Wang, Zhuang Li, Jiahong Li, Yejun Tang, Hong Zhou:
A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer. CoRR abs/2112.04888 (2021) - 2020
- [i2]Di Wu, Qi Tang, Yongle Zhao, Ming Zhang, Ying Fu, Debing Zhang:
EasyQuant: Post-training Quantization via Scale Optimization. CoRR abs/2006.16669 (2020) - [i1]Xiang An, Xuhan Zhu, Yang Xiao, Lan Wu, Ming Zhang, Yuan Gao, Bin Qin, Debing Zhang, Ying Fu:
Partial FC: Training 10 Million Identities on a Single Machine. CoRR abs/2010.05222 (2020)
2010 – 2019
- 2019
- [c9]Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang:
Hyperspectral Image Super-Resolution With Optimized RGB Guidance. CVPR 2019: 11661-11670 - [c8]Jiankang Deng, Jia Guo, Debing Zhang, Yafeng Deng, Xiangju Lu, Song Shi:
Lightweight Face Recognition Challenge. ICCV Workshops 2019: 2638-2646 - 2018
- [c7]Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang:
Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery. ECCV (3) 2018: 812-828 - 2015
- [j4]Yao Hu, Zhongming Jin, Yi Shi, Debing Zhang, Deng Cai, Xiaofei He:
Large scale multi-class classification with truncated nuclear norm regularization. Neurocomputing 148: 310-317 (2015) - [c6]Debing Zhang, Long Wei, Bin Hong, Yao Hu, Deng Cai, Xiaofei He:
Event Recovery by Faster Truncated Nuclear Norm Minimization. IScIDE (2) 2015: 171-180 - 2014
- [j3]Zhongming Jin, Debing Zhang, Yao Hu, Shiding Lin, Deng Cai, Xiaofei He:
Fast and Accurate Hashing Via Iterative Nearest Neighbors Expansion. IEEE Trans. Cybern. 44(11): 2167-2177 (2014) - 2013
- [j2]Yao Hu, Debing Zhang, Jieping Ye, Xuelong Li, Xiaofei He:
Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 35(9): 2117-2130 (2013) - [c5]Zhongming Jin, Yao Hu, Yue Lin, Debing Zhang, Shiding Lin, Deng Cai, Xuelong Li:
Complementary Projection Hashing. ICCV 2013: 257-264 - [c4]Debing Zhang, Genmao Yang, Yao Hu, Zhongming Jin, Deng Cai, Xiaofei He:
A Unified Approximate Nearest Neighbor Search Scheme by Combining Data Structure and Hashing. IJCAI 2013: 681-688 - [c3]Yao Hu, Debing Zhang, Zhongming Jin, Deng Cai, Xiaofei He:
Active Learning Based on Local Representation. IJCAI 2013: 1415-1421 - 2012
- [c2]Debing Zhang, Yao Hu, Jieping Ye, Xuelong Li, Xiaofei He:
Matrix completion by Truncated Nuclear Norm Regularization. CVPR 2012: 2192-2199 - [c1]Yao Hu, Debing Zhang, Jun Liu, Jieping Ye, Xiaofei He:
Accelerated singular value thresholding for matrix completion. KDD 2012: 298-306
2000 – 2009
- 2007
- [j1]Hu Bin, Debing Zhang:
Cellular-Automata Based Qualitative Simulation for Nonprofit Group Behavior. J. Artif. Soc. Soc. Simul. 10(1) (2007)
Coauthor Index
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