Debing Zhang

According to our database, Debing Zhang authored at least 52 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AdaMuon: Adaptive Muon Optimizer.

Chongjie Si, Debing Zhang, Wei Shen

CoRR, July, 2025

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images.

Yingping Liang, Ying Fu, Yutao Hu, Wenqi Shao, Jiaming Liu, Debing Zhang

CoRR, June, 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, 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

CoRR, June, 2025

Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction.

Yifei Wang, Weimin Bai, Colin Zhang, Debing Zhang, Weijian Luo, He Sun

CoRR, May, 2025

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions.

Chaochen Gao, Xing Wu, Zijia Lin, Debing Zhang, Songlin Hu

CoRR, May, 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, March, 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, Xianpei Han, Debing Zhang, Le Sun

CoRR, March, 2025

LoRA-Null: Low-Rank Adaptation via Null Space for Large Language Models.

Pengwei Tang, Yong Liu, Dongjie Zhang, Xing Wu, Debing Zhang

CoRR, March, 2025

Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch.

Xueru Wen, Jie Lou, Zichao Li, Yaojie Lu, Xing Yu, Yuqiu Ji, Guohai Xu, Hongyu Lin, Ben He, Xianpei Han, Le Sun, Debing Zhang

CoRR, February, 2025

Scalable Oversight for Superhuman AI via Recursive Self-Critiquing.

Xueru Wen, Jie Lou, Xinyu Lu, Junjie Yang, Yanjiang Liu, Yaojie Lu, Debing Zhang, XingYu

CoRR, February, 2025

NExtLong: Toward Effective Long-Context Training without Long Documents.

Chaochen Gao, Xing Wu, Zijia Lin, Debing Zhang, Songlin Hu

CoRR, January, 2025

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

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

CoRR, January, 2025

Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?

Xueru Wen, Jie Lou, Yaojie Lu, Hongyu Lin, XingYu, Xinyu Lu, Ben He, Xianpei Han, Debing Zhang, Le Sun

Proceedings of the Thirteenth International Conference on Learning Representations, 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, Xianpei Han, Debing Zhang, Le Sun

Proceedings of the Findings of the Association for Computational Linguistics, 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, Hongyu Lin, Ben He, Xianpei Han, Debing Zhang, Le Sun

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch.

Xueru Wen, Jie Lou, Zichao Li, Yaojie Lu, XingYu, Yuqiu Ji, Guohai Xu, Hongyu Lin, Ben He, Xianpei Han, Le Sun, Debing Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

End-to-End Video Text Spotting with Transformer.

Weijia Wu, Yuanqiang Cai, Chunhua Shen, Debing Zhang, Ying Fu, Hong Zhou, Ping Luo

Int. J. Comput. Vis., September, 2024

Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models.

Weijian Luo, Colin Zhang, Debing Zhang, Zhengyang Geng

CoRR, 2024

Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?

Xueru Wen, Jie Lou, Yaojie Lu, Hongyu Lin, Xing Yu, Xinyu Lu, Ben He, Xianpei Han, Debing Zhang, Le Sun

CoRR, 2024

CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning.

Huimu Yu, Xing Wu, Weidong Yin, Debing Zhang, Songlin Hu

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

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, Xianpei Han, Debing Zhang, Le Sun

CoRR, 2024

SedarEval: Automated Evaluation using Self-Adaptive Rubrics.

Zhiyuan Fan, Weinong Wang, Xing Wu, Debing Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SLR: Learning Quadruped Locomotion without Privileged Information.

Shiyi Chen, Zeyu Wan, Shiyang Yan, Chun Zhang, Weiyi Zhang, Qiang Li, Debing Zhang, Fasih Ud Din Farrukh

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Deep external and internal learning for noisy compressive sensing.

Tao Zhang, Ying Fu, Debing Zhang, Chun Hu

Neurocomputing, April, 2023

LP-SLAM: Language-Perceptive RGB-D SLAM system based on Large Language Model.

Weiyi Zhang, Yushi Guo, Liting Niu, Peijun Li, Chun Zhang, Zeyu Wan, Jiaxiang Yan, Fasih Ud Din Farrukh, Debing Zhang

CoRR, 2023

Recurrent Self-Supervised Video Denoising with Denser Receptive Field.

Zichun Wang, Yulun Zhang, Debing Zhang, Ying Fu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

MPI-Flow: Learning Realistic Optical Flow with Multiplane Images.

Yingping Liang, Jiaming Liu, Debing Zhang, Ying Fu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

One-shot Implicit Animatable Avatars with Model-based Priors.

Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection.

Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

LORM: a novel reinforcement learning framework for biped gait control.

Weiyi Zhang, Yancao Jiang, Fasih Ud Din Farrukh, Chun Zhang, Debing Zhang, Guangqi Wang

PeerJ Comput. Sci., 2022

Joint Camera Spectral Response Selection and Hyperspectral Image Recovery.

Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer.

Weijia Wu, Yuanqiang Cai, Debing Zhang, Sibo Wang, Zhuang Li, Jiahong Li, Yejun Tang, Hong Zhou

CoRR, 2021

EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling.

Jue Wang, Haofan Wang, Jincan Deng, Weijia Wu, Debing Zhang

CoRR, 2021

A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer.

Debing Zhang, Yuanqiang Cai, Sibo Wang, Jiahong Li, Zhuang Li, Yejun Tang, Hong Zhou

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

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

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

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

CoRR, 2020

EasyQuant: Post-training Quantization via Scale Optimization.

Di Wu, Qi Tang, Yongle Zhao, Ming Zhang, Ying Fu, Debing Zhang

CoRR, 2020

2019

Lightweight Face Recognition Challenge.

Jiankang Deng, Jia Guo, Debing Zhang, Yafeng Deng, Xiangju Lu, Song Shi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Hyperspectral Image Super-Resolution With Optimized RGB Guidance.

Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery.

Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang

Proceedings of the Computer Vision - ECCV 2018, 2018

2015

Large scale multi-class classification with truncated nuclear norm regularization.

Yao Hu, Zhongming Jin, Yi Shi, Debing Zhang, Deng Cai, Xiaofei He

Neurocomputing, 2015

Event Recovery by Faster Truncated Nuclear Norm Minimization.

Debing Zhang, Long Wei, Bin Hong, Yao Hu, Deng Cai, Xiaofei He

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

2014

Fast and Accurate Hashing Via Iterative Nearest Neighbors Expansion.

Zhongming Jin, Debing Zhang, Yao Hu, Shiding Lin, Deng Cai, Xiaofei He

IEEE Trans. Cybern., 2014

2013

Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization.

Yao Hu, Debing Zhang, Jieping Ye, Xuelong Li, Xiaofei He

IEEE Trans. Pattern Anal. Mach. Intell., 2013

A Unified Approximate Nearest Neighbor Search Scheme by Combining Data Structure and Hashing.

Debing Zhang, Genmao Yang, Yao Hu, Zhongming Jin, Deng Cai, Xiaofei He

Proceedings of the IJCAI 2013, 2013

Active Learning Based on Local Representation.

Yao Hu, Debing Zhang, Zhongming Jin, Deng Cai, Xiaofei He

Proceedings of the IJCAI 2013, 2013

Complementary Projection Hashing.

Zhongming Jin, Yao Hu, Yue Lin, Debing Zhang, Shiding Lin, Deng Cai, Xuelong Li

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Accelerated singular value thresholding for matrix completion.

Yao Hu, Debing Zhang, Jun Liu, Jieping Ye, Xiaofei He

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Matrix completion by Truncated Nuclear Norm Regularization.

Debing Zhang, Yao Hu, Jieping Ye, Xuelong Li, Xiaofei He

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2007

Cellular-Automata Based Qualitative Simulation for Nonprofit Group Behavior.

Hu Bin, Debing Zhang

J. Artif. Soc. Soc. Simul., 2007