Technical Reports
-
*: equal contribution, #: corresponding author
Full Reports in 2026
-
Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models
Junlin Fang, Do Nguyen-Thanh, Xiaogang Xu, Zhen Fang, Sean Du.
Arxiv, 2026. -
Last But Not Least: Boundary Attention CalibratiON for Multimodal KV Cache Compression
Tianhao Chen, Yuheng Wu, Kelu Yao, Xiaogang Xu, Xiaobin Hu, Dongman Lee.
Arxiv, 2026. -
HDRAgent: An Agentic Framework for Multi-Exposure HDR Imaging
Weiyu Zhou, Tao Hu, Yijian Wang, Xiaogang Xu, Ruixing Wang, Qingsen Yan.
Arxiv, 2026. -
Streaming Communication in Multi-Agent Reasoning
Zhen Yang, Xiaogang Xu, Wen Wang, Cong Chen, Xander Xu, Ying-Cong Chen.
Arxiv, 2026. -
LITMUS: Benchmarking Behavioral Jailbreaks of LLM Agents in Real OS Environments
Chiyu Zhang, Huiqin Yang, Bendong Jiang, Xiaolei Zhang, Yiran Zhao, Ruyi Chen, Lu Zhou, Xiaogang Xu#, Jiafei Wu, Liming Fang, Zhe Liu.
Arxiv, 2026. -
AHPA: Adaptive Hierarchical Prior Alignment for Diffusion Transformers
Ruibin Min, Yexin Liu, Aimin Pan, Changsheng Lu, Jiafei Wu, Kelu Yao, Xiaogang Xu, Harry Yang.
Arxiv, 2026. -
From Thinker to Society: Security in Hierarchical Autonomy Evolution of AI Agents
Xiaolei Zhang, Lu Zhou, Xiaogang Xu#, Jiafei Wu, Tianyu Du, Heqing Huang, Hao Peng, Zhe Liu.
Arxiv, 2026. -
Low-Light Video Enhancement with An Effective Spatial-Temporal Decomposition Paradigm
Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu.
Arxiv, 2026. -
MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification
MiroMind Team.
Arxiv, 2026. -
Multi-Agent Tool-Integrated Policy Optimization with Process Reward
Zhanfeng Mo*, Xiaogang Xu*, Xingxuan Li*, Lidong Bing.
Github, 2026.
Full Reports in 2025
-
Enhancing Diffusion-based Restoration Models via Difficulty-Adaptive Reinforcement Learning with IQA Reward
Xiaogang Xu, Ruihang Chu, Jian Wang, Kun Zhou, Wenjie Shu, Harry Yang, Ser-Nam Lim, Hao Chen, Liang Lin.
Arxiv, 2025. -
Boosting Fidelity for Pre-Trained-Diffusion-Based Low-Light Image Enhancement via Condition Refinement
Xiaogang Xu, Jian Wang, Yunfan Lu, Ruihang Chu, Ruixing Wang, Jiafei Wu, Bei Yu, Liang Lin.
Arxiv, 2025. -
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling
MiroMind Team.
Arxiv, 2025. -
Jailbreaking Commercial Black-Box LLMs with Explicitly Harmful Prompts
Chiyu Zhang, Lu Zhou, Xiaogang Xu, Jiafei Wu, Liming Fang, Zhe Liu.
Arxiv, 2025. -
Generative Distribution Distillation
Jiequan Cui, Beier Zhu, Qingshan Xu, Xiaogang Xu, Pengguang Chen, Xiaojuan Qi, Bei Yu, Hanwang Zhang, Richang Hong.
Arxiv, 2025. -
Generative Visual Commonsense Answering and Explaining with Generative Scene Graph Constructing
Fan Yuan, Xiaoyuan Fang, Rong Quan, Jing Li, Wei Bi, Xiaogang Xu, Piji Li.
Arxiv, 2025. -
From Events to Enhancement: A Survey on Event-Based Imaging Technologies
Yunfan Lu, Xiaogang Xu, Pengteng Li, Yusheng Wang, Yi Cui, Huizai Yao, Hui Xiong.
Arxiv, 2025.
Full Reports in 2024
-
Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning
Huiwen Wu, Xiaohan Li, Deyi Zhang, Xiaogang Xu#, Jiafei Wu, Puning Zhao, Zhe Liu.
Arxiv, 2024.
Full Reports in 2023
-
Self-supervised Learning for Enhancing Geometrical Modeling in 3D-Aware Generative Adversarial Network
Jiarong Guo, Xiaogang Xu#, Hengshuang Zhao.
Arxiv, 2023. -
Clarity ChatGPT: An Interactive and Adaptive Processing System for Image Restoration and Enhancement
Yanyan Wei, Zhao Zhang, Jiahuan Ren, Xiaogang Xu, Richang Hong, Yi Yang, Shuicheng Yan, Meng Wang.
Arxiv, 2023.
Full Reports in 2022
-
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments
Xiaogang Xu, Hengshuang Zhao, Philip Torr, Jiaya Jia.
Arxiv, 2022.