Hongchen Wei I am currently a final-year Ph.D. student at Wuhan University, under the supervision of Prof. Zhenzhong Chen. I received my M.E. degree from Nanjing University of Science and Technology, China, in 2023. I received my B.Sc. degree from Xi'an Shiyou University, China, in 2020. Email Google Scholar Github CV (EN) CV (ZH)

My current research focuses on building executable virtual environments inspired by generative agents, which simulate real-world interaction dynamics for dynamic evaluation, synthetic data generation, and RL-based post-training. I also work on agentic multimodal understanding, especially tool-augmented long-document and long-video agents, as well as multimodal model merging for aligning perception and reasoning capabilities and enabling cross-modal knowledge transfer. These efforts are developed under Office Intelligence, a project hub for our recent work on agentic document intelligence.

• Executable generative-agent environments for dynamic evaluation, synthetic data generation, and Agentic RL
• Tool-augmented multimodal agents for long-document and long-video understanding
• Multimodal model merging for perception-reasoning alignment and cross-modal knowledge transfer

• [Dec. 2025 - Present] Research intern at Microsoft Research Asia (MSRA), working on executable multi-agent environments for realistic office workflows, Agentic Document Understanding, agent evaluation, and data synthesis.

	DocAtlas: Long-Document Understanding as Mutable-State Interaction Hongchen Wei, et al. NeurIPS 2026 (under review) Work done at MSRA.
	XL-DocBench: Benchmarking Evidence-Grounded Extra-Long Document Understanding Hongchen Wei, et al. NeurIPS 2026 (under review) Work done at MSRA.
	PASA: Post-Merge Perception-Reasoning Asymmetry as a Self-Alignment Signal for MLLMs Hongchen Wei, Zhenzhong Chen. NeurIPS 2026 (under review)
	Training-Free Reasoning and Reflection in MLLMs Hongchen Wei, Zhenzhong Chen arXiv Preprint, 2025

LongCaptioning: Unlocking the Power of Long Caption Generation in Large Multimodal Models Hongchen Wei, Zhihong Tan, Yaosi Hu, Chang Wen Chen, Zhenzhong Chen arXiv Preprint, 2025

LOP: Learning Optimal Pruning for Efficient On-Demand MLLMs Scaling Zhihan Zhang, Xiang Pan, Hongchen Wei, Zhenzhong Chen arXiv Preprint, 2025

RSFAKE-1M: A Large-Scale Dataset for Detecting Diffusion-Generated Remote Sensing Forgeries Zhihong Tan, Jiayi Wang, Huiying Shi, Binyuan Huang, Hongchen Wei, Zhenzhong Chen arXiv Preprint, 2025

TDSAgent: A Task-Driven Sampling Agent for Long Video Question Answering Author list includes Hongchen Wei Under Review, 2026

GTC: Game-Theoretic Token Compression for Video Large Language Models Author list includes Hongchen Wei Under Review, 2026

ETC: Extreme Token Compression via Task-aware Visual Information Distillation in VLMs Author list includes Hongchen Wei Under Review, 2026

See What We Cannot See: A Geo-guided Reasoning Benchmark for Object Counting under Adverse Earth Observation Conditions Author list includes Hongchen Wei CVPR, 2026

Visual Context Window Extension: A New Perspective for Long Video Understanding Hongchen Wei, Zhenzhong Chen ACM MM (CCF-A Conference), 2025 Project page

RealVG: Unleashing MLLMs for Training-Free Spatio-Temporal Video Grounding in the Wild Hongchen Wei, Zhenzhong Chen ACM MM (CCF-A Conference), 2025

Remote Sensing Semantic Segmentation Quality Assessment based on Vision Language Model Huiying Shi, Zhihong Tan, Zhihan Zhang, Hongchen Wei, Yaosi Hu, Yingxue Zhang, Zhenzhong Chen TGRS (CCF-B Journal), 2025

Improving Generalization of Image Captioning with Unsupervised Prompt Learning Hongchen Wei, Zhenzhong Chen TOMM (CCF-B Journal), 2024

Exploiting Cross-Modal Prediction and Relation Consistency for Semisupervised Image Captioning Yang Yang, Hongchen Wei , Hengshu Zhu, Dianhai Yu, Hui Xiong, Jian Yang TCYB (CCF-B Journal), 2022 (student first author) Code

S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification Yang Yang, Hongchen Wei , Zhenqiang Sun, Guangyu Li, Yuanchun Zhou, Hui Xiong, Jian Yang TKDD (CCF-B Journal), 2021 (student first author)

• Reviewer: ICLR25/26, CVPR25/26, NeurIPS25/26, ICML26, TNNLS