Mingkang Zhu

According to our database, Mingkang Zhu authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond.

Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin, Lingdong Kong, Jize Zhang, Teng Tu, Weijian Ma, Ziqi Huang, Senqiao Yang, Wei Huang, Yeying Jin, Zhefan Rao, Jinhui Ye, Xinyu Lin, Xichen Zhang, Qisheng Hu, Shuai Yang, Leyang Shen, Wei Chow, Yifei Dong, Fengyi Wu, Quanyu Long, Bin Xia, Shaozuo Yu, Mingkang Zhu, Wenhu Zhang, Jiehui Huang, Haokun Gui, Haoxuan Che, Long Chen, Qifeng Chen, Wenxuan Zhang, Wenya Wang, Xiaojuan Qi, Yang Deng, Yanwei Li, Mike Zheng Shou, Zhi-Qi Cheng, See-Kiong Ng, Ziwei Liu, Philip Torr, Jiaya Jia

CoRR, April, 2026

2025

ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for Large Vision-and-Language Models.

Yuqi Liu, Liangyu Chen, Jiazhen Liu, Mingkang Zhu, Zhisheng Zhong, Bei Yu, Jiaya Jia

CoRR, October, 2025

Stratified GRPO: Handling Structural Heterogeneity in Reinforcement Learning of LLM Search Agents.

Mingkang Zhu, Xi Chen, Bei Yu, Hengshuang Zhao, Jiaya Jia

CoRR, October, 2025

From Noisy Traces to Stable Gradients: Bias-Variance Optimized Preference Optimization for Aligning Large Reasoning Models.

Mingkang Zhu, Xi Chen, Bei Yu, Hengshuang Zhao, Jiaya Jia

CoRR, October, 2025

MiCo: Multi-image Contrast for Reinforcement Visual Reasoning.

Xi Chen, Mingkang Zhu, Shaoteng Liu, Xiaoyang Wu, Xiaogang Xu, Yu Liu, Xiang Bai, Hengshuang Zhao

CoRR, June, 2025

Modular Customization of Diffusion Models via Blockwise-Parameterized Low-Rank Adaptation.

Mingkang Zhu, Xi Chen, Zhongdao Wang, Bei Yu, Hengshuang Zhao, Jiaya Jia

CoRR, March, 2025

Effective LLM Knowledge Learning via Model Generalization.

Mingkang Zhu, Xi Chen, Zhongdao Wang, Bei Yu, Hengshuang Zhao, Jiaya Jia

CoRR, March, 2025

TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization.

Mingkang Zhu, Xi Chen, Zhongdao Wang, Bei Yu, Hengshuang Zhao, Jiaya Jia

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

Enhancing LLM Knowledge Learning through Generalization.

Mingkang Zhu, Xi Chen, Zhongdao Wang, Bei Yu, Hengshuang Zhao, Jiaya Jia

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

LogoSticker: Inserting Logos Into Diffusion Models for Customized Generation.

Mingkang Zhu, Xi Chen, Zhongdao Wang, Hengshuang Zhao, Jiaya Jia

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Learning to Generalize Provably in Learning to Optimize.

Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors.

Arman Maesumi, Mingkang Zhu, Yi Wang, Tianlong Chen, Zhangyang Wang, Chandrajit Bajaj

CoRR, 2021

Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm.

Mingkang Zhu, Tianlong Chen, Zhangyang Wang

Proceedings of the 38th International Conference on Machine Learning, 2021