Publications · RAIL Lab

2026

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

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

arXiv preprint, 2026

arXiv Code

Reversible Diffusion Decoding for Diffusion Language Models

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

arXiv preprint, 2026

arXiv

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

arXiv preprint, 2026

arXiv

From Coefficients to Directions: Rethinking Model Merging with Directional Alignment

Zhikang Chen, Sen Cui, Deheng Ye, Min Zhang, Gang Niu, Yu Zhang, Masashi Sugiyama, Tingting Zhu

arXiv preprint, 2026

arXiv

Merging without Forgetting: Continual Fusion of Task-Specific Models via Optimal Transport

Zecheng Pan, Zhikang Chen, Ding Li, Min Zhang^†, Sen Cui, Hongshuo Jin, Luqi Tao, Yi Yang, Deheng Ye, Yu Zhang, Tingting Zhu, Tianling Ren

arXiv preprint, 2026

arXiv

AmbiguousWorld: Benchmarking and Resolving Ambiguous Instructions in Video World Models

Bo Wang, Sen Cui, Jin Li, Mingxi Huang, Zhikang Chen, Min Zhang, Guocai Yao, Changshui Zhang

NeurIPS 2026

Merging with Directional Alignment overview

Geometry-Aware Directional Alignment for Coherent Model Merging

Zhikang Chen, Sen Cui, Deheng Ye, Min Zhang, Gang Niu, Yu Zhang, Masashi Sugiyama, Tingting Zhu

NeurIPS 2026

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

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

IPM 2026

arXiv Code

MetaForge: A Self-Evolving Multimodal Agent that Retrieves, Adapts, and Forges Tools On Demand

Shouang Wei, Houcheng Min, Xinpeng Dong, Xin Lin, Sen Cui, Bo Jiang, Zhongxiang Dai, Kun Kuang, Guandong Xu, Fei Wu, Min Zhang^†

EMNLP 2026 (Findings)

arXiv Code

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

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

EMNLP 2026 (Findings)

arXiv Code

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^†

EMNLP 2026

arXiv Code

Unidirectional Cognitive Optimization overview

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

Shouang Wei, Min Zhang^†, Xin Lin, Bo Jiang, Kun Kuang, Zhongxiang Dai

EMNLP 2026

arXiv Code

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

Shouang Wei, Min Zhang^†, Xin Lin, Bo Jiang, Zhongxiang Dai, Kun Kuang

EMNLP 2026 (Findings)

arXiv Code

OmniPhys: A Unified Multimodal Benchmark for Physics Understanding and Genera

Hao Chen, Yumin Lin, Nadila Yushanjiang, Xin Lin, Min Zhang^†

EMNLP 2026 (Findings)

arXiv Code

OmniHandwritingOCR: A Diagnostic Benchmark for Evaluating Multimodal LLMs in Handwritten OCR Scenarios

Zinuo Guo, Min Zhang^†, Bo Jiang

CIKM 2026

arXiv

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

Min Zhang, Yuyin Wang, Zhongxiang Dai, Zhikang Chen, Jie Zhou, Miao Liu, Sen Cui

TMLR 2026

arXiv Code

Affordance-Graphed Task Worlds: Self-Evolving Task Generation for Scalable Embodied Learning

Xiang Liu, Sen Cui, Guocai Yao, Zhong Cao, Jingheng Ma, Min Zhang, Changshui Zhang

ECCV 2026

arXiv Code

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

ICML 2026

arXiv Code

ALSO: Adversarial Online Strategy Optimization for Social Agents

Xiang Li, Liping Yi, Mingze Kong, Min Zhang, Zhongxiang Dai, QingHua Hu

ICML 2026

arXiv Code

Step-GRPO: Internalizing Dynamic Early Exit for Efficient Reasoning

Benteng Chen*, Weida Wang*, Shufei Zhang, Mingbao Lin, Min Zhang^†

ACL 2026

arXiv Code

Think Faster Than Words: Efficient LLM Chain-of-Thought Reasoning via Dynamic Shortcut Decoding

Fan Liu, Yanhao Wang, Min Zhang^†, Zhikang Chen, Zeyuan Li, Lewei He, Jiahui Pan

ACL 2026

arXiv Code

personalized distractor generation overview

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

ACL 2026

arXiv Code

CAST: Context-Aware Dynamic Latent Space Transformation for Interactive Text-to-Image Retrieval

Xuanzuo Lin, Min Zhang, Daizong Liu, Zhiwen Zuo, Xun Yang, Changting Lin, Xun Wang, Jianfeng Dong

CVPR 2026

arXiv Code

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

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

CVPR 2026 (Findings)

arXiv Code

EvoWorld: A World-Model-Centric Framework for Continuous Self-Evolution of Modular Embodied Skills

Boshi Zhang, Sen Cui, BaoHuaYin, Youyi Kou, Junyu Wu, Zuo Pu, TAO XUE, Zhikang Chen, Shanshan Wei, Min Zhang, Miao Liu, Changshui Zhang, Zhang Tao

CVPR 2026 (FMEA Workshop)

arXiv

Scene2Demo: Self-Evolving Embodied Data Generation via Object-Action Graph

Xiang Liu, Sen Cui, Guocai Yao, Zhong Cao, Jingheng Ma, Min Zhang, Miao Liu, Changshui Zhang

CVPR 2026 (FMEA Workshop)

Paper

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

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

ICASSP 2026

arXiv Code

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

IPM 2026

arXiv

2025

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

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

ICML 2025

arXiv Code

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

ICML 2025

arXiv Code

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

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

ICML 2025

arXiv Code

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

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

ICML 2025

arXiv Code

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

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

AAAI 2025

arXiv Code

A Social Computing Model of Lexical Coordination in overview

The Emergence of Shared Norms in Decentralized Networks: A Social Computing Model of Lexical Coordination

Fengrui Liu, Ruiyang Huang, Jianan Zhang, Ruohan Jiang, Qingyang Li, Min Zhang^†

ICSC 2025

arXiv

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

KDD 2025

arXiv Code

Remedy: Recipe merging dynamics in large vision-language models

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

ICLR 2025

arXiv

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

ICLR 2025

arXiv Code

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

COLING 2025

arXiv Code

2024

Neural Collapse Inspired Feature Alignment overview

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

NeurIPS 2024

arXiv

Scaling Laws Across Model Architectures overview

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

EMNLP 2024

arXiv

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

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

ACMMM 2024

arXiv Code

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

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

ECCV 2024 ORAL

arXiv Code

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

ECCV 2024

arXiv

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

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

arXiv preprint, 2024

arXiv

Neural-collapse-anchored Prompt Tuning overview

Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models

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

KDD 2024

arXiv

RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning

Min Zhang, Zifeng Zhuang, Zhitao Wang, Donglin Wang

ICME 2024ORAL

arXiv

Multi-Path Cross-Modal Traction overview

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

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

CVPR 2024

arXiv Code

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

Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang

ICLR 2024

arXiv Code

Pareto Graph Self-Supervised Learning

Zhengyu Chen, Teng Xiao, Donglin Wang, Min Zhang

ICASSP 2024

arXiv

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

AAAI 2024

arXiv

Expressive Forecasting of 3D Whole-Body Human Motions

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

AAAI 2024

arXiv Code

Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation

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

AAAI 2024

arXiv Code

2023 and earlier · selected

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

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

ICCV 2023 ORAL

arXiv Code

Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization

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

KDD 2023

arXiv

Multi-Level Correlation Network for Few-Shot Image Classification

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

ICME 2023

arXiv Code

Understanding Prompt Tuning for V-L Models through the Lens of Neural Collapse

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

KDD 2023

arXiv

Bidirectional Synaptic Phototransistor Based on Two-Dimensional Ferroelectric Semiconductor for Mixed Color Pattern Recognition

Yitong Chen, Min Zhang, Dingwei Li, Yingjie Tang, Huihui Ren, Jiye Li, Kun Liang, Yan Wang, Liaoyong Wen, Wenbin Li, Wei Kong, Shi Liu, Hong Wang, Donglin Wang, Bowen Zhu

ACS Nano 2023

arXiv