Debing Zhang - RankMe

75 papers A* 15Misc 1Journal 48Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	JTok: On Token Embedding as another Axis of Scaling Law via Joint Token Self-modulation. CoRR Yebin Yang, Huaijin Wu, Fu Guo, Lin Yao, Xiaohan Qin, Jingzhi Wang, Debing Zhang, Junchi Yan
2026	A*	`conf`	LiteLong: Resource-Efficient Long-Context Data Synthesis for LLMs. AAAI Junlong Jia, Xing Wu, Chaochen Gao, Ziyang Chen, Zijia Lin, Zhongzhi Li, Weinong Wang, Haotian Xu, Donghui Jin, Debing Zhang, Binghui Guo
2026	J	`jnl`	LongBench Pro: A More Realistic and Comprehensive Bilingual Long-Context Evaluation Benchmark. CoRR Ziyang Chen, Xing Wu, Junlong Jia, Chaochen Gao, Qi Fu, Debing Zhang, Songlin Hu
2026	A*	`conf`	Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge. AAAI Pengwei Tang, Xiaolin Hu, Yong Liu, Lizhong Ding, Dongjie Zhang, Xing Wu, Debing Zhang
2026	J	`jnl`	SEA-Nav: Efficient Policy Learning for Safe and Agile Quadruped Navigation in Cluttered Environments. CoRR Shiyi Chen, Mingye Yang, Haiyan Mao, Jiaqi Zhang, Haiyi Liu, Shuheng He, Debing Zhang, Zihao Qiu, Chun Zhang
2026	J	`jnl`	Tackling Length Inflation Without Trade-offs: Group Relative Reward Rescaling for Reinforcement Learning. CoRR Zichao Li, Jie Lou, Fangchen Dong, Zhiyuan Fan, Mengjie Ren, Hongyu Lin, Xianpei Han, Debing Zhang, Le Sun, Yaojie Lu, Xing Yu
2025	J	`jnl`	AdaMuon: Adaptive Muon Optimizer. CoRR Chongjie Si, Debing Zhang, Wei Shen
2025	—	`conf`	Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch. ACL (1) Xueru Wen, Jie Lou, Zichao Li, Yaojie Lu, XingYu, Yuqiu Ji, Guohai Xu, Hongyu Lin, Ben He, Xianpei Han, Le Sun, Debing Zhang
2025	J	`jnl`	Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch. CoRR Xueru Wen, Jie Lou, Zichao Li, Yaojie Lu, Xing Yu, Yuqiu Ji, Guohai Xu, Hongyu Lin, Ben He, Xianpei Han, Le Sun, Debing Zhang
2025	J	`jnl`	Coupled Variational Reinforcement Learning for Language Model General Reasoning. CoRR Xueru Wen, Jie Lou, Yanjiang Liu, Hongyu Lin, Ben He, Xianpei Han, Le Sun, Yaojie Lu, Debing Zhang
2025	—	`conf`	Critic-CoT: Boosting the Reasoning Abilities of Large Language Model via Chain-of-Thought Critic. ACL (Findings) Xin Zheng, Jie Lou, Boxi Cao, Xueru Wen, Yuqiu Ji, Hongyu Lin, Yaojie Lu, Xianpei Han, Debing Zhang, Le Sun
2025	A*	`conf`	David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training. ICML Weijian Luo, Colin Zhang, Debing Zhang, Zhengyang Geng
2025	J	`jnl`	EntropyLong: Effective Long-Context Training via Predictive Uncertainty. CoRR Junlong Jia, Ziyang Chen, Xing Wu, Chaochen Gao, Zijia Lin, Debing Zhang, Songlin Hu, Binghui Guo
2025	J	`jnl`	Flow-Anything: Learning Real-World Optical Flow Estimation From Large-Scale Single-View Images. IEEE Trans. Pattern Anal. Mach. Intell. Yingping Liang, Ying Fu, Yutao Hu, Wenqi Shao, Jiaming Liu, Debing Zhang
2025	J	`jnl`	Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images. CoRR Yingping Liang, Ying Fu, Yutao Hu, Wenqi Shao, Jiaming Liu, Debing Zhang
2025	J	`jnl`	LiteLong: Resource-Efficient Long-Context Data Synthesis for LLMs. CoRR Junlong Jia, Xing Wu, Chaochen Gao, Ziyang Chen, Zijia Lin, Zhongzhi Li, Weinong Wang, Haotian Xu, Donghui Jin, Debing Zhang, Binghui Guo
2025	J	`jnl`	LoRA-Null: Low-Rank Adaptation via Null Space for Large Language Models. CoRR Pengwei Tang, Yong Liu, Dongjie Zhang, Xing Wu, Debing Zhang
2025	J	`jnl`	LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions. CoRR Chaochen Gao, Xing Wu, Zijia Lin, Debing Zhang, Songlin Hu
2025	J	`jnl`	MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning. CoRR Yiwei Ma, Guohai Xu, Xiaoshuai Sun, Jiayi Ji, Jie Lou, Debing Zhang, Rongrong Ji
2025	J	`jnl`	MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning. CoRR Qianhao Yuan, Jie Lou, Zichao Li, Jiawei Chen, Yaojie Lu, Hongyu Lin, Le Sun, Debing Zhang, Xianpei Han
2025	A*	`conf`	NExtLong: Toward Effective Long-Context Training without Long Documents. ICML Chaochen Gao, Xing Wu, Zijia Lin, Debing Zhang, Songlin Hu
2025	J	`jnl`	NExtLong: Toward Effective Long-Context Training without Long Documents. CoRR Chaochen Gao, Xing Wu, Zijia Lin, Debing Zhang, Songlin Hu
2025	—	`conf`	On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation. ACL (Findings) Xueru Wen, Jie Lou, Xinyu Lu, Yuqiu Ji, Xinyan Guan, Yaojie Lu, Hongyu Lin, Ben He, Xianpei Han, Debing Zhang, Le Sun
2025	J	`jnl`	PretrainZero: Reinforcement Active Pretraining. CoRR Xingrun Xing, Zhiyuan Fan, Jie Lou, Guoqi Li, Jiajun Zhang, Debing Zhang
2025	J	`jnl`	RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? CoRR 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
2025	A*	`conf`	Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? ICLR Xueru Wen, Jie Lou, Yaojie Lu, Hongyu Lin, XingYu, Xinyu Lu, Ben He, Xianpei Han, Debing Zhang, Le Sun
2025	J	`jnl`	Scalable Oversight for Superhuman AI via Recursive Self-Critiquing. CoRR Xueru Wen, Jie Lou, Xinyu Lu, Junjie Yang, Yanjiang Liu, Yaojie Lu, Debing Zhang, XingYu
2025	J	`jnl`	SedarEval: Automated Evaluation using Self-Adaptive Rubrics. CoRR Zhiyuan Fan, Weinong Wang, Xing Wu, Debing Zhang
2025	A*	`conf`	The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models. ICML Zichao Li, Xueru Wen, Jie Lou, Yuqiu Ji, Yaojie Lu, Xianpei Han, Debing Zhang, Le Sun
2025	J	`jnl`	The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models. CoRR Zichao Li, Xueru Wen, Jie Lou, Yuqiu Ji, Yaojie Lu, Xianpei Han, Debing Zhang, Le Sun
2025	J	`jnl`	Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction. CoRR Yifei Wang, Weimin Bai, Colin Zhang, Debing Zhang, Weijian Luo, He Sun
2025	—	`conf`	Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models. ACL (1) Junfeng Tian, Da Zheng, Yang Chen, Rui Wang, Colin Zhang, Debing Zhang
2025	J	`jnl`	dots.llm1 Technical Report. CoRR 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
2024	J	`jnl`	CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning. CoRR Huimu Yu, Xing Wu, Weidong Yin, Debing Zhang, Songlin Hu
2024	J	`jnl`	Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic. CoRR Xin Zheng, Jie Lou, Boxi Cao, Xueru Wen, Yuqiu Ji, Hongyu Lin, Yaojie Lu, Xianpei Han, Debing Zhang, Le Sun
2024	J	`jnl`	Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models. CoRR Weijian Luo, Colin Zhang, Debing Zhang, Zhengyang Geng
2024	J	`jnl`	End-to-End Video Text Spotting with Transformer. Int. J. Comput. Vis. Weijia Wu, Yuanqiang Cai, Chunhua Shen, Debing Zhang, Ying Fu, Hong Zhou, Ping Luo
2024	J	`jnl`	Lp-slam: language-perceptive RGB-D SLAM framework exploiting large language model. Complex Intell. Syst. Weiyi Zhang, Yushi Guo, Liting Niu, Peijun Li, Zeyu Wan, Fei Shao, Cheng Nian, Fasih Ud Din Farrukh, Debing Zhang, Chun Zhang, Qiang Li, Jianwei Zhang
2024	J	`jnl`	Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? CoRR Xueru Wen, Jie Lou, Yaojie Lu, Hongyu Lin, Xing Yu, Xinyu Lu, Ben He, Xianpei Han, Debing Zhang, Le Sun
2024	Misc	`conf`	SLR: Learning Quadruped Locomotion without Privileged Information. CoRL Shiyi Chen, Zeyu Wan, Shiyang Yan, Chun Zhang, Weiyi Zhang, Qiang Li, Debing Zhang, Fasih Ud Din Farrukh
2024	J	`jnl`	SLR: Learning Quadruped Locomotion without Privileged Information. CoRR Shiyi Chen, Zeyu Wan, Shiyang Yan, Chun Zhang, Weiyi Zhang, Qiang Li, Debing Zhang, Fasih Ud Din Farrukh
2024	—	`conf`	SedarEval: Automated Evaluation using Self-Adaptive Rubrics. EMNLP (Findings) Zhiyuan Fan, Weinong Wang, Xing Wu, Debing Zhang
2024	J	`jnl`	Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models. CoRR Junfeng Tian, Da Zheng, Yang Cheng, Rui Wang, Colin Zhang, Debing Zhang
2023	—	`conf`	AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CVPR Workshops Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu
2023	J	`jnl`	AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CoRR Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu
2023	J	`jnl`	Deep external and internal learning for noisy compressive sensing. Neurocomputing Tao Zhang, Ying Fu, Debing Zhang, Chun Hu
2023	J	`jnl`	LP-SLAM: Language-Perceptive RGB-D SLAM system based on Large Language Model. CoRR Weiyi Zhang, Yushi Guo, Liting Niu, Peijun Li, Chun Zhang, Zeyu Wan, Jiaxiang Yan, Fasih Ud Din Farrukh, Debing Zhang
2023	A*	`conf`	MPI-Flow: Learning Realistic Optical Flow with Multiplane Images. ICCV Yingping Liang, Jiaming Liu, Debing Zhang, Ying Fu
2023	J	`jnl`	MPI-Flow: Learning Realistic Optical Flow with Multiplane Images. CoRR Yingping Liang, Jiaming Liu, Debing Zhang, Ying Fu
2023	A*	`conf`	One-shot Implicit Animatable Avatars with Model-based Priors. ICCV Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai
2023	A*	`conf`	Recurrent Self-Supervised Video Denoising with Denser Receptive Field. ACM Multimedia Zichun Wang, Yulun Zhang, Debing Zhang, Ying Fu
2023	J	`jnl`	Recurrent Self-Supervised Video Denoising with Denser Receptive Field. CoRR Zichun Wang, Yulun Zhang, Debing Zhang, Ying Fu
2022	J	`jnl`	End-to-End Video Text Spotting with Transformer. CoRR Weijia Wu, Debing Zhang, Ying Fu, Chunhua Shen, Hong Zhou, Yuanqiang Cai, Ping Luo
2022	J	`jnl`	Joint Camera Spectral Response Selection and Hyperspectral Image Recovery. IEEE Trans. Pattern Anal. Mach. Intell. Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang
2022	J	`jnl`	LORM: a novel reinforcement learning framework for biped gait control. PeerJ Comput. Sci. Weiyi Zhang, Yancao Jiang, Fasih Ud Din Farrukh, Chun Zhang, Debing Zhang, Guangqi Wang
2022	J	`jnl`	One-shot Implicit Animatable Avatars with Model-based Priors. CoRR Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai
2021	—	`conf`	A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer. NeurIPS Datasets and Benchmarks Debing Zhang, Yuanqiang Cai, Sibo Wang, Jiahong Li, Zhuang Li, Yejun Tang, Hong Zhou
2021	J	`jnl`	A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer. CoRR Weijia Wu, Yuanqiang Cai, Debing Zhang, Sibo Wang, Zhuang Li, Jiahong Li, Yejun Tang, Hong Zhou
2021	J	`jnl`	EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling. CoRR Jue Wang, Haofan Wang, Jincan Deng, Weijia Wu, Debing Zhang
2021	—	`conf`	Partial FC: Training 10 Million Identities on a Single Machine. ICCVW Xiang An, Xuhan Zhu, Yuan Gao, Yang Xiao, Yongle Zhao, Ziyong Feng, Lan Wu, Bin Qin, Ming Zhang, Debing Zhang, Ying Fu
2020	J	`jnl`	EasyQuant: Post-training Quantization via Scale Optimization. CoRR Di Wu, Qi Tang, Yongle Zhao, Ming Zhang, Ying Fu, Debing Zhang
2020	J	`jnl`	Partial FC: Training 10 Million Identities on a Single Machine. CoRR Xiang An, Xuhan Zhu, Yang Xiao, Lan Wu, Ming Zhang, Yuan Gao, Bin Qin, Debing Zhang, Ying Fu
2019	A*	`conf`	Hyperspectral Image Super-Resolution With Optimized RGB Guidance. CVPR Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang
2019	—	`conf`	Lightweight Face Recognition Challenge. ICCV Workshops Jiankang Deng, Jia Guo, Debing Zhang, Yafeng Deng, Xiangju Lu, Song Shi
2018	—	`conf`	Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery. ECCV (3) Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang
2015	—	`conf`	Event Recovery by Faster Truncated Nuclear Norm Minimization. IScIDE (2) Debing Zhang, Long Wei, Bin Hong, Yao Hu, Deng Cai, Xiaofei He
2015	J	`jnl`	Large scale multi-class classification with truncated nuclear norm regularization. Neurocomputing Yao Hu, Zhongming Jin, Yi Shi, Debing Zhang, Deng Cai, Xiaofei He
2014	J	`jnl`	Fast and Accurate Hashing Via Iterative Nearest Neighbors Expansion. IEEE Trans. Cybern. Zhongming Jin, Debing Zhang, Yao Hu, Shiding Lin, Deng Cai, Xiaofei He
2013	A*	`conf`	A Unified Approximate Nearest Neighbor Search Scheme by Combining Data Structure and Hashing. IJCAI Debing Zhang, Genmao Yang, Yao Hu, Zhongming Jin, Deng Cai, Xiaofei He
2013	A*	`conf`	Active Learning Based on Local Representation. IJCAI Yao Hu, Debing Zhang, Zhongming Jin, Deng Cai, Xiaofei He
2013	A*	`conf`	Complementary Projection Hashing. ICCV Zhongming Jin, Yao Hu, Yue Lin, Debing Zhang, Shiding Lin, Deng Cai, Xuelong Li
2013	J	`jnl`	Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization. IEEE Trans. Pattern Anal. Mach. Intell. Yao Hu, Debing Zhang, Jieping Ye, Xuelong Li, Xiaofei He
2012	A*	`conf`	Accelerated singular value thresholding for matrix completion. KDD Yao Hu, Debing Zhang, Jun Liu, Jieping Ye, Xiaofei He
2012	A*	`conf`	Matrix completion by Truncated Nuclear Norm Regularization. CVPR Debing Zhang, Yao Hu, Jieping Ye, Xuelong Li, Xiaofei He
2007	J	`jnl`	Cellular-Automata Based Qualitative Simulation for Nonprofit Group Behavior. J. Artif. Soc. Soc. Simul. Hu Bin, Debing Zhang