Min Zhang - RankMe

62 papers A* 18A 3B 2Misc 1Journal 34Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey of slow thinking-based reasoning LLMs using reinforcement learning and test-time scaling law. Inf. Process. Manag. Qianjun Pan, Wenkai Ji, Yuyang Ding, Junsong Li, Shilian Chen, Junyi Wang, Jie Zhou, Qin Chen, Min Zhang, Yulan Wu, Liang He
2026	J	`jnl`	CASTLE: A Comprehensive Benchmark for Evaluating Student-Tailored Personalized Safety in Large Language Models. CoRR Rui Jia, Ruiyi Lan, Fengrui Liu, Zhongxiang Dai, Bo Jiang, Jing Shao, Jingyuan Chen, Guandong Xu, Fei Wu, Min Zhang
2026	J	`jnl`	Reversible Diffusion Decoding for Diffusion Language Models. CoRR Xinyun Wang, Min Zhang, Sen Cui, Zhikang Chen, Bo Jiang, Kun Kuang, Mingbao Lin
2025	J	`jnl`	A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law. CoRR Qianjun Pan, Wenkai Ji, Yuyang Ding, Junsong Li, Shilian Chen, Junyi Wang, Jie Zhou, Qin Chen, Min Zhang, Yulan Wu, Liang He
2025	—	`conf`	A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding. KDD (1) Chuan Zhou, Yaxuan Li, Chunyuan Zheng, Haiteng Zhang, Min Zhang, Haoxuan Li, Mingming Gong
2025	A*	`conf`	Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge. ICML Hanglei Hu, Yingying Guo, Zhikang Chen, Sen Cui, Fei Wu, Kun Kuang, Min Zhang, Bo Jiang
2025	A*	`conf`	CALM: Consensus-Aware Localized Merging for Multi-Task Learning. ICML Kunda Yan, Min Zhang, Sen Cui, Zikun Qu, Bo Jiang, Feng Liu, Changshui Zhang
2025	J	`jnl`	CALM: Consensus-Aware Localized Merging for Multi-Task Learning. CoRR Kunda Yan, Min Zhang, Sen Cui, Zikun Qu, Bo Jiang, Feng Liu, Changshui Zhang
2025	J	`jnl`	CoDoL: Conditional Domain Prompt Learning for Out-of-Distribution Generalization. CoRR Min Zhang, Bo Jiang, Jie Zhou, Yimeng Liu, Xin Lin
2025	A*	`conf`	Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference. AAAI Han Zhao, Min Zhang, Wei Zhao, Pengxiang Ding, Siteng Huang, Donglin Wang
2025	J	`jnl`	DiaCDM: Cognitive Diagnosis in Teacher-Student Dialogues using the Initiation-Response-Evaluation Framework. CoRR Rui Jia, Yuang Wei, Ruijia Li, Yuang-Hao Jiang, Xinyu Xie, Yaomin Shen, Min Zhang, Bo Jiang
2025	J	`jnl`	ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios. CoRR Shou'ang Wei, Xinyun Wang, Shuzhen Bi, Jian Chen, Ruijia Li, Bo Jiang, Xin Lin, Min Zhang, Yu Song, Bingdong Li, Aimin Zhou, Hao Hao
2025	A*	`conf`	ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models. ICML Xinpeng Dong, Min Zhang, Didi Zhu, Ye Jun Jian, Keli Zhang, Aimin Zhou, Fei Wu, Kun Kuang
2025	J	`jnl`	EduAgentQG: A Multi-Agent Workflow Framework for Personalized Question Generation. CoRR Rui Jia, Min Zhang, Fengrui Liu, Bo Jiang, Kun Kuang, Zhongxiang Dai
2025	J	`jnl`	EduDial: Constructing a Large-scale Multi-turn Teacher-Student Dialogue Corpus. CoRR Shou'ang Wei, Min Zhang, Xin Lin, Bo Jiang, Zhongxiang Dai, Kun Kuang
2025	J	`jnl`	Enhancing Visual-Language Prompt Tuning Through Sparse Knowledge-Guided Context Optimization. Entropy Qiangxing Tian, Min Zhang
2025	B	`conf`	FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema. COLING Junru Lu, Siyu An, Min Zhang, Yulan He, Di Yin, Xing Sun
2025	J	`jnl`	FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits. CoRR Pingchen Lu, Zhi Hong, Zhiwei Shang, Zhiyong Wang, Yikun Ban, Yao Shu, Min Zhang, Shuang Qiu, Zhongxiang Dai
2025	J	`jnl`	LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction. CoRR Ziwei Wang, Jie Zhou, Qin Chen, Min Zhang, Bo Jiang, Aimin Zhou, Qinchun Bai, Liang He
2025	J	`jnl`	OmniEduBench: A Comprehensive Chinese Benchmark for Evaluating Large Language Models in Education. CoRR Min Zhang, Hao Chen, Hao Chen, Wenqi Zhang, Didi Zhu, Xin Lin, Bo Jiang, Aimin Zhou, Fei Wu, Kun Kuang
2025	A*	`conf`	REMEDY: Recipe Merging Dynamics in Large Vision-Language Models. ICLR Didi Zhu, Yibing Song, Tao Shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu
2025	J	`jnl`	SMRC: Aligning Large Language Models with Student Reasoning for Mathematical Error Correction. CoRR Biaojie Zeng, Min Zhang, Juan Zhou, Fengrui Liu, Ruiyang Huang, Xin Lin
2025	A*	`conf`	Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models. ICML Mingjia Li, Hong Qian, Tian-Zuo Wang, Shujun Li, Min Zhang, Aimin Zhou
2025	J	`jnl`	T-POP: Test-Time Personalization with Online Preference Feedback. CoRR Zikun Qu, Min Zhang, Mingze Kong, Xiang Li, Zhiwei Shang, Zhiyong Wang, Yikun Ban, Shuang Qiu, Yao Shu, Zhongxiang Dai
2025	J	`jnl`	UCO: A Multi-Turn Interactive Reinforcement Learning Method for Adaptive Teaching with Large Language Models. CoRR Shou'ang Wei, Min Zhang, Xin Lin, Bo Jiang, Kun Kuang, Zhongxiang Dai
2025	J	`jnl`	VLAS: Vision-Language-Action Model With Speech Instructions For Customized Robot Manipulation. CoRR Wei Zhao, Pengxiang Ding, Min Zhang, Zhefei Gong, Shuanghao Bai, Han Zhao, Donglin Wang
2025	A*	`conf`	VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation. ICLR Wei Zhao, Pengxiang Ding, Min Zhang, Zhefei Gong, Shuanghao Bai, Han Zhao, Donglin Wang
2024	J	`jnl`	Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference. CoRR Han Zhao, Min Zhang, Wei Zhao, Pengxiang Ding, Siteng Huang, Donglin Wang
2024	J	`jnl`	FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema. CoRR Junru Lu, Siyu An, Min Zhang, Yulan He, Di Yin, Xing Sun
2024	J	`jnl`	Focus-Consistent Multi-Level Aggregation for Compositional Zero-Shot Learning. CoRR Fengyuan Dai, Siteng Huang, Min Zhang, Biao Gong, Donglin Wang
2024	A*	`conf`	Learning to Reweight for Generalizable Graph Neural Network. AAAI Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
2024	A*	`conf`	MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. ICLR Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang
2024	J	`jnl`	MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. CoRR Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang
2024	J	`jnl`	Multi-Level Correlation Network For Few-Shot Image Classification. CoRR Yunkai Dang, Min Zhang, Zhengyu Chen, Xinliang Zhang, Zheng Wang, Meijun Sun, Donglin Wang
2024	A*	`conf`	Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. KDD Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu
2024	A*	`conf`	Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization. NeurIPS Zhikang Chen, Min Zhang, Sen Cui, Haoxuan Li, Gang Niu, Mingming Gong, Changshui Zhang, Kun Zhang
2024	—	`conf`	PiTe: Pixel-Temporal Alignment for Large Video-Language Model. ECCV (5) Yang Liu, Pengxiang Ding, Siteng Huang, Min Zhang, Han Zhao, Donglin Wang
2024	J	`jnl`	PiTe: Pixel-Temporal Alignment for Large Video-Language Model. CoRR Yang Liu, Pengxiang Ding, Siteng Huang, Min Zhang, Han Zhao, Donglin Wang
2024	A*	`conf`	ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-Identification. ACM Multimedia Can Cui, Siteng Huang, Wenxuan Song, Pengxiang Ding, Min Zhang, Donglin Wang
2024	J	`jnl`	ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-Identification. CoRR Can Cui, Siteng Huang, Wenxuan Song, Pengxiang Ding, Min Zhang, Donglin Wang
2024	A*	`conf`	Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation. AAAI Shuanghao Bai, Min Zhang, Wanqi Zhou, Siteng Huang, Zhirong Luan, Donglin Wang, Badong Chen
2024	—	`conf`	QUAR-VLA: Vision-Language-Action Model for Quadruped Robots. ECCV (5) Pengxiang Ding, Han Zhao, Wenjie Zhang, Wenxuan Song, Min Zhang, Siteng Huang, Ningxi Yang, Donglin Wang
2024	J	`jnl`	Revisiting the Transferability of Few-Shot Image Classification: A Frequency Spectrum Perspective. Entropy Min Zhang, Zhitao Wang, Donglin Wang
2024	A	`conf`	RotoGBML: Towards Out-of-distribution Generalization for Gradient-based Meta-learning. ICME Min Zhang, Zifeng Zhuang, Zhitao Wang, Donglin Wang
2024	A*	`conf`	Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. EMNLP Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang
2024	J	`jnl`	Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. CoRR Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang
2024	A*	`conf`	Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning. CVPR Siteng Huang, Biao Gong, Yutong Feng, Min Zhang, Yiliang Lv, Donglin Wang
2023	J	`jnl`	Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. CoRR Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu
2023	J	`jnl`	Expressive Forecasting of 3D Whole-body Human Motions. CoRR Pengxiang Ding, Qiongjie Cui, Min Zhang, Mengyuan Liu, Haofan Wang, Donglin Wang
2023	J	`jnl`	Learning to Reweight for Graph Neural Network. CoRR Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
2023	A*	`conf`	MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters. ICCV Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang
2023	A	`conf`	Multi-Level Correlation Network For Few-Shot Image Classification. ICME Yunkai Dang, Meijun Sun, Min Zhang, Zhengyu Chen, Xinliang Zhang, Zheng Wang, Donglin Wang
2023	J	`jnl`	Prompt-based Distribution Alignment for Unsupervised Domain Adaptation. CoRR Shuanghao Bai, Min Zhang, Wanqi Zhou, Siteng Huang, Zhirong Luan, Donglin Wang, Badong Chen
2023	A*	`conf`	Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. KDD Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang
2023	J	`jnl`	Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. CoRR Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang
2023	B	`conf`	TAGM: Task-Aware Graph Model for Few-shot Node Classification. ICMR Feng Zhao, Min Zhang, Tiancheng Huang, Donglin Wang
2022	Misc	`conf`	Domain Generalized Few-Shot Image Classification via Meta Regularization Network. ICASSP Min Zhang, Siteng Huang, Donglin Wang
2022	—	`conf`	Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation. ECCV (20) Min Zhang, Siteng Huang, Wenbin Li, Donglin Wang
2022	J	`jnl`	Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation. CoRR Min Zhang, Siteng Huang, Wenbin Li, Donglin Wang
2021	A*	`conf`	Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition. AAAI Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang
2020	J	`jnl`	Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition. CoRR Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang
2020	A	`conf`	Knowledge Distillation for Model-Agnostic Meta-Learning. ECAI Min Zhang, Donglin Wang, Sibo Gai