Min Zhang

According to our database, Min Zhang authored at least 55 papers between 2020 and 2026.

Collaborative distances:

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

2026

Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models.

Xinpeng Dong, Min Zhang, Kairong Han, Xu Tan, Fei Wu, Kun Kuang

CoRR, May, 2026

CASTLE: A Comprehensive Benchmark for Evaluating Student-Tailored Personalized Safety in Large Language Models.

Rui Jia, Ruiyi Lan, Fengrui Liu, Zhongxiang Dai, Bo Jiang, Jing Shao, Jingyuan Chen, Guandong Xu, Fei Wu, Min Zhang

CoRR, February, 2026

Reversible Diffusion Decoding for Diffusion Language Models.

Xinyun Wang, Min Zhang, Sen Cui, Zhikang Chen, Bo Jiang, Kun Kuang, Mingbao Lin

CoRR, February, 2026

A survey of slow thinking-based reasoning LLMs using reinforcement learning and test-time scaling law.

Qianjun Pan, Wenkai Ji, Yuyang Ding, Junsong Li, Shilian Chen, Junyi Wang, Jie Zhou, Qin Chen, Min Zhang, Yulan Wu, Liang He

Inf. Process. Manag., 2026

Tailoring Diagnostic Modeling to Individual Learners: Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction.

Tao Wu, Jingyuan Chen, Wang Lin, Jian Zhan, Mengze Li, Fangzhou Jin, Min Zhang, Kun Kuang, Fei Wu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Step-GRPO: Internalizing Dynamic Early Exit for Efficient Reasoning.

Benteng Chen, Weida Wang, Shufei Zhang, Mingbao Lin, Min Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

SMRC: Aligning Large Language Models with Student Reasoning for Mathematical Error Correction.

Biaojie Zeng, Min Zhang, Juan Zhou, Fengrui Liu, Ruiyang Huang, Xin Lin

CoRR, November, 2025

EduAgentQG: A Multi-Agent Workflow Framework for Personalized Question Generation.

Rui Jia, Min Zhang, Fengrui Liu, Bo Jiang, Kun Kuang, Zhongxiang Dai

CoRR, November, 2025

UCO: A Multi-Turn Interactive Reinforcement Learning Method for Adaptive Teaching with Large Language Models.

Shou'ang Wei, Min Zhang, Xin Lin, Bo Jiang, Kun Kuang, Zhongxiang Dai

CoRR, November, 2025

OmniEduBench: A Comprehensive Chinese Benchmark for Evaluating Large Language Models in Education.

Min Zhang, Hao Chen, Hao Chen, Wenqi Zhang, Didi Zhu, Xin Lin, Bo Jiang, Aimin Zhou, Fei Wu, Kun Kuang

CoRR, October, 2025

EduDial: Constructing a Large-scale Multi-turn Teacher-Student Dialogue Corpus.

Shou'ang Wei, Min Zhang, Xin Lin, Bo Jiang, Zhongxiang Dai, Kun Kuang

CoRR, October, 2025

DiaCDM: Cognitive Diagnosis in Teacher-Student Dialogues using the Initiation-Response-Evaluation Framework.

Rui Jia, Yuang Wei, Ruijia Li, Yuang-Hao Jiang, Xinyu Xie, Yaomin Shen, Min Zhang, Bo Jiang

CoRR, September, 2025

FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits.

Pingchen Lu, Zhi Hong, Zhiwei Shang, Zhiyong Wang, Yikun Ban, Yao Shu, Min Zhang, Shuang Qiu, Zhongxiang Dai

CoRR, September, 2025

T-POP: Test-Time Personalization with Online Preference Feedback.

Zikun Qu, Min Zhang, Mingze Kong, Xiang Li, Zhiwei Shang, Zhiyong Wang, Yikun Ban, Shuang Qiu, Yao Shu, Zhongxiang Dai

CoRR, September, 2025

CoDoL: Conditional Domain Prompt Learning for Out-of-Distribution Generalization.

Min Zhang, Bo Jiang, Jie Zhou, Yimeng Liu, Xin Lin

CoRR, September, 2025

ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios.

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

CoRR, July, 2025

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law.

Qianjun Pan, Wenkai Ji, Yuyang Ding, Junsong Li, Shilian Chen, Junyi Wang, Jie Zhou, Qin Chen, Min Zhang, Yulan Wu, Liang He

CoRR, May, 2025

LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction.

Ziwei Wang, Jie Zhou, Qin Chen, Min Zhang, Bo Jiang, Aimin Zhou, Qinchun Bai, Liang He

CoRR, February, 2025

Enhancing Visual-Language Prompt Tuning Through Sparse Knowledge-Guided Context Optimization.

Qiangxing Tian, Min Zhang

Entropy, 2025

A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding.

Chuan Zhou, Yaxuan Li, Chunyuan Zheng, Haiteng Zhang, Min Zhang, Haoxuan Li, Mingming Gong

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

CALM: Consensus-Aware Localized Merging for Multi-Task Learning.

Kunda Yan, Min Zhang, Sen Cui, Zikun Qu, Bo Jiang, Feng Liu, Changshui Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge.

Hanglei Hu, Yingying Guo, Zhikang Chen, Sen Cui, Fei Wu, Kun Kuang, Min Zhang, Bo Jiang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models.

Xinpeng Dong, Min Zhang, Didi Zhu, Ye Jun Jian, Keli Zhang, Aimin Zhou, Fei Wu, Kun Kuang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models.

Mingjia Li, Hong Qian, Tian-Zuo Wang, Shujun Li, Min Zhang, Aimin Zhou

Proceedings of the Forty-second International Conference on Machine Learning, 2025

REMEDY: Recipe Merging Dynamics in Large Vision-Language Models.

Didi Zhu, Yibing Song, Tao Shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation.

Wei Zhao, Pengxiang Ding, Min Zhang, Zhefei Gong, Shuanghao Bai, Han Zhao, Donglin Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema.

Junru Lu, Siyu An, Min Zhang, Yulan He, Di Yin, Xing Sun

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference.

Han Zhao, Min Zhang, Wei Zhao, Pengxiang Ding, Siteng Huang, Donglin Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Revisiting the Transferability of Few-Shot Image Classification: A Frequency Spectrum Perspective.

Min Zhang, Zhitao Wang, Donglin Wang

Entropy, June, 2024

Focus-Consistent Multi-Level Aggregation for Compositional Zero-Shot Learning.

Fengyuan Dai, Siteng Huang, Min Zhang, Biao Gong, Donglin Wang

CoRR, 2024

FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema.

Junru Lu, Siyu An, Min Zhang, Yulan He, Di Yin, Xing Sun

CoRR, 2024

RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner.

Ying Zang, Chenglong Fu, Runlong Cao, Didi Zhu, Min Zhang, Wenjun Hu, Lanyun Zhu, Tianrun Chen

CoRR, 2024

Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization.

Zhikang Chen, Min Zhang, Sen Cui, Haoxuan Li, Gang Niu, Mingming Gong, Changshui Zhang, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-Identification.

Can Cui, Siteng Huang, Wenxuan Song, Pengxiang Ding, Min Zhang, Donglin Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models.

Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

RotoGBML: Towards Out-of-distribution Generalization for Gradient-based Meta-learning.

Min Zhang, Zifeng Zhuang, Zhitao Wang, Donglin Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

High-Fidelity 3D Model Generation with Relightable Appearance from Single Freehand Sketches and Text Guidance.

Tianrun Chen, Runlong Cao, Ankang Lu, Tao Xu, Xiaoling Zhang, Papa Mao, Min Zhang, Lingyun Sun, Ying Zang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation.

Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models.

Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

PiTe: Pixel-Temporal Alignment for Large Video-Language Model.

Yang Liu, Pengxiang Ding, Siteng Huang, Min Zhang, Han Zhao, Donglin Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

QUAR-VLA: Vision-Language-Action Model for Quadruped Robots.

Pengxiang Ding, Han Zhao, Wenjie Zhang, Wenxuan Song, Min Zhang, Siteng Huang, Ningxi Yang, Donglin Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning.

Siteng Huang, Biao Gong, Yutong Feng, Min Zhang, Yiliang Lv, Donglin Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation.

Shuanghao Bai, Min Zhang, Wanqi Zhou, Siteng Huang, Zhirong Luan, Donglin Wang, Badong Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning to Reweight for Generalizable Graph Neural Network.

Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning to Reweight for Graph Neural Network.

Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu

CoRR, 2023

Expressive Forecasting of 3D Whole-body Human Motions.

Pengxiang Ding, Qiongjie Cui, Min Zhang, Mengyuan Liu, Haofan Wang, Donglin Wang

CoRR, 2023

Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance.

Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu

CoRR, 2023

TAGM: Task-Aware Graph Model for Few-shot Node Classification.

Feng Zhao, Min Zhang, Tiancheng Huang, Donglin Wang

Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization.

Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multi-Level Correlation Network For Few-Shot Image Classification.

Yunkai Dang, Meijun Sun, Min Zhang, Zhengyu Chen, Xinliang Zhang, Zheng Wang, Donglin Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters.

Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang

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

2022

Domain Generalized Few-Shot Image Classification via Meta Regularization Network.

Min Zhang, Siteng Huang, Donglin Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation.

Min Zhang, Siteng Huang, Wenbin Li, Donglin Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition.

Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Knowledge Distillation for Model-Agnostic Meta-Learning.

Min Zhang, Donglin Wang, Sibo Gai

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020