Cellular-Automata Based Qualitative Simulation for Nonprofit Group Behavior. - Hu Bin; Debing Zhang (J. Artif. Soc. Soc. Simul., 2007)

Matrix completion by Truncated Nuclear Norm Regularization. - Debing Zhang; Yao Hu; Jieping Ye; Xuelong Li 001; Xiaofei He 001 (CVPR, 2012)

Accelerated singular value thresholding for matrix completion. - Yao Hu; Debing Zhang; Jun Liu 003; Jieping Ye; Xiaofei He 001 (KDD, 2012)

Complementary Projection Hashing. - Zhongming Jin 001; Yao Hu; Yue Lin 003; Debing Zhang; Shiding Lin; Deng Cai 001; Xuelong Li 001 (ICCV, 2013)

Active Learning Based on Local Representation. - Yao Hu; Debing Zhang; Zhongming Jin 001; Deng Cai 001; Xiaofei He 001 (IJCAI, 2013)

A Unified Approximate Nearest Neighbor Search Scheme by Combining Data Structure and Hashing. - Debing Zhang; Genmao Yang; Yao Hu; Zhongming Jin 001; Deng Cai 001; Xiaofei He 001 (IJCAI, 2013)

Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization. - Yao Hu; Debing Zhang; Jieping Ye; Xuelong Li 001; Xiaofei He 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Fast and Accurate Hashing Via Iterative Nearest Neighbors Expansion. - Zhongming Jin 001; Debing Zhang; Yao Hu; Shiding Lin; Deng Cai 001; Xiaofei He 001 (IEEE Trans. Cybern., 2014)

Event Recovery by Faster Truncated Nuclear Norm Minimization. - Debing Zhang; Long Wei; Bin Hong; Yao Hu; Deng Cai 001; Xiaofei He 001 (IScIDE (2), 2015)

Large scale multi-class classification with truncated nuclear norm regularization. - Yao Hu; Zhongming Jin 001; Yi Shi; Debing Zhang; Deng Cai 001; Xiaofei He 001 (Neurocomputing, 2015)

Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery. - Ying Fu 001; Tao Zhang 042; Yinqiang Zheng; Debing Zhang; Hua Huang 001 (ECCV (3), 2018)

Hyperspectral Image Super-Resolution With Optimized RGB Guidance. - Ying Fu 001; Tao Zhang 042; Yinqiang Zheng; Debing Zhang; Hua Huang 001 (CVPR, 2019)

Lightweight Face Recognition Challenge. - Jiankang Deng; Jia Guo 003; Debing Zhang; Yafeng Deng; Xiangju Lu; Song Shi (ICCV Workshops, 2019)

EasyQuant: Post-training Quantization via Scale Optimization. - Di Wu 065; Qi Tang; Yongle Zhao; Ming Zhang; Ying Fu 001; Debing Zhang (CoRR, 2020)

Partial FC: Training 10 Million Identities on a Single Machine. - Xiang An; Xuhan Zhu; Yang Xiao; Lan Wu; Ming Zhang; Yuan Gao; Bin Qin; Debing Zhang; Ying Fu 001 (CoRR, 2020)

Partial FC: Training 10 Million Identities on a Single Machine. - Xiang An; Xuhan Zhu; Yuan Gao; Yang Xiao; Yongle Zhao; Ziyong Feng; Lan Wu; Bin Qin; Ming Zhang; Debing Zhang; Ying Fu 001 (ICCVW, 2021)

A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer. - Debing Zhang; Yuanqiang Cai; Sibo Wang 009; Jiahong Li; Zhuang Li 002; Yejun Tang; Hong Zhou (NeurIPS Datasets and Benchmarks, 2021)

EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling. - Jue Wang; Haofan Wang; Jincan Deng; Weijia Wu 001; Debing Zhang (CoRR, 2021)

A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer. - Weijia Wu 001; Yuanqiang Cai; Debing Zhang; Sibo Wang 009; Zhuang Li 002; Jiahong Li; Yejun Tang; Hong Zhou (CoRR, 2021)

Joint Camera Spectral Response Selection and Hyperspectral Image Recovery. - Ying Fu 001; Tao Zhang 042; Yinqiang Zheng; Debing Zhang; Hua Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

LORM: a novel reinforcement learning framework for biped gait control. - Weiyi Zhang 002; Yancao Jiang; Fasih Ud Din Farrukh; Chun Zhang; Debing Zhang; Guangqi Wang (PeerJ Comput. Sci., 2022)

AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. - Wentao Zhu 001; Yufang Huang; Xiufeng Xie; Wenxian Liu; Jincan Deng; Debing Zhang; Zhangyang Wang; Ji Liu 002 (CVPR Workshops, 2023)

One-shot Implicit Animatable Avatars with Model-based Priors. - Yangyi Huang; Hongwei Yi; Weiyang Liu; Haofan Wang; Boxi Wu; Wenxiao Wang 001; Binbin Lin; Debing Zhang; Deng Cai 001 (ICCV, 2023)

MPI-Flow: Learning Realistic Optical Flow with Multiplane Images. - Yingping Liang; Jiaming Liu; Debing Zhang; Ying Fu 001 (ICCV, 2023)

Recurrent Self-Supervised Video Denoising with Denser Receptive Field. - Zichun Wang; Yulun Zhang 001; Debing Zhang; Ying Fu 001 (ACM Multimedia, 2023)

LP-SLAM: Language-Perceptive RGB-D SLAM system based on Large Language Model. - Weiyi Zhang 002; Yushi Guo; Liting Niu; Peijun Li; Chun Zhang; Zeyu Wan; Jiaxiang Yan; Fasih Ud Din Farrukh; Debing Zhang (CoRR, 2023)

Deep external and internal learning for noisy compressive sensing. - Tao Zhang 042; Ying Fu 001; Debing Zhang; Chun Hu (Neurocomputing, 2023)

SLR: Learning Quadruped Locomotion without Privileged Information. - Shiyi Chen; Zeyu Wan; Shiyang Yan; Chun Zhang; Weiyi Zhang 002; Qiang Li; Debing Zhang; Fasih Ud Din Farrukh (CoRL, 2024)

SedarEval: Automated Evaluation using Self-Adaptive Rubrics. - Zhiyuan Fan; Weinong Wang; Xing Wu; Debing Zhang (EMNLP (Findings), 2024)

Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic. - Xin Zheng; Jie Lou; Boxi Cao; Xueru Wen; Yuqiu Ji; Hongyu Lin; Yaojie Lu 001; Xianpei Han; Debing Zhang; Le Sun 001 (CoRR, 2024)

Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models. - Junfeng Tian; Da Zheng; Yang Cheng; Rui Wang; Colin Zhang; Debing Zhang (CoRR, 2024)

CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning. - Huimu Yu; Xing Wu 002; Weidong Yin; Debing Zhang; Songlin Hu 001 (CoRR, 2024)

Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? - Xueru Wen; Jie Lou; Yaojie Lu 001; Hongyu Lin; Xing Yu; Xinyu Lu; Ben He; Xianpei Han; Debing Zhang; Le Sun 001 (CoRR, 2024)

Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models. - Weijian Luo; Colin Zhang; Debing Zhang; Zhengyang Geng (CoRR, 2024)

End-to-End Video Text Spotting with Transformer. - Weijia Wu 001; Yuanqiang Cai; Chunhua Shen; Debing Zhang; Ying Fu 001; Hong Zhou; Ping Luo 002 (Int. J. Comput. Vis., 2024)

Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models. - Junfeng Tian; Da Zheng; Yang Chen; Rui Wang; Colin Zhang; Debing Zhang (ACL (1), 2025)

Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch. - Xueru Wen; Jie Lou; Zichao Li; Yaojie Lu 001; XingYu; Yuqiu Ji; Guohai Xu; Hongyu Lin; Ben He; Xianpei Han; Le Sun 001; Debing Zhang (ACL (1), 2025)

On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation. - Xueru Wen; Jie Lou; Xinyu Lu; Yuqiu Ji; Xinyan Guan; Yaojie Lu 001; Hongyu Lin; Ben He; Xianpei Han; Debing Zhang; Le Sun 001 (ACL (Findings), 2025)

Critic-CoT: Boosting the Reasoning Abilities of Large Language Model via Chain-of-Thought Critic. - Xin Zheng; Jie Lou; Boxi Cao; Xueru Wen; Yuqiu Ji; Hongyu Lin; Yaojie Lu 001; Xianpei Han; Debing Zhang; Le Sun 001 (ACL (Findings), 2025)

Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? - Xueru Wen; Jie Lou; Yaojie Lu 001; Hongyu Lin; XingYu; Xinyu Lu; Ben He; Xianpei Han; Debing Zhang; Le Sun 001 (ICLR, 2025)

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? - Haotian Xu; Xing Wu; Weinong Wang; Zhongzhi Li; Da Zheng; Boyuan Chen 008; Yi Hu; Shijia Kang; Jiaming Ji; Yingying Zhang; Zhijiang Guo; Yaodong Yang 001; et al. (CoRR, 2025)

NExtLong: Toward Effective Long-Context Training without Long Documents. - Chaochen Gao; Xing Wu 002; Zijia Lin; Debing Zhang; Songlin Hu 001 (CoRR, 2025)

Scalable Oversight for Superhuman AI via Recursive Self-Critiquing. - Xueru Wen; Jie Lou; Xinyu Lu; Junjie Yang; Yanjiang Liu; Yaojie Lu 001; Debing Zhang; XingYu (CoRR, 2025)

Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch. - Xueru Wen; Jie Lou; Zichao Li; Yaojie Lu 001; Xing Yu; Yuqiu Ji; Guohai Xu; Hongyu Lin; Ben He; Xianpei Han; Le Sun 001; Debing Zhang (CoRR, 2025)

LoRA-Null: Low-Rank Adaptation via Null Space for Large Language Models. - Pengwei Tang; Yong Liu; Dongjie Zhang; Xing Wu; Debing Zhang (CoRR, 2025)

The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models. - Zichao Li; Xueru Wen; Jie Lou; Yuqiu Ji; Yaojie Lu 001; Xianpei Han; Debing Zhang; Le Sun 001 (CoRR, 2025)

MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning. - Yiwei Ma; Guohai Xu; Xiaoshuai Sun; Jiayi Ji; Jie Lou; Debing Zhang; Rongrong Ji (CoRR, 2025)

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions. - Chaochen Gao; Xing Wu 002; Zijia Lin; Debing Zhang; Songlin Hu 001 (CoRR, 2025)

Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction. - Yifei Wang; Weimin Bai; Colin Zhang; Debing Zhang; Weijian Luo; He Sun 010 (CoRR, 2025)

dots.llm1 Technical Report. - Bi Huo; Bin Tu; Cheng Qin; Da Zheng; Debing Zhang; Dongjie Zhang; En Li; Fu Guo; Jian Yao; Jie Lou; Junfeng Tian; Li Hu; et al. (CoRR, 2025)

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images. - Yingping Liang; Ying Fu 001; Yutao Hu; Wenqi Shao; Jiaming Liu; Debing Zhang (CoRR, 2025)

AdaMuon: Adaptive Muon Optimizer. - Chongjie Si; Debing Zhang; Wei Shen 002 (CoRR, 2025)