Technical Reports
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*: equal contribution, #: corresponding author
Full Reports in 2026
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Exploring the Potential of Contrastive Language-Image Pre-training for Multi-Source Remote Sensing Data
Xiangyang Miao, Kelu Yao, Yekai Huang, Xiaogang Xu, Junxiao Xue, Minjun Shen, Chenghui Lv, Shanji Liu, Yaying Chen, Chao Li.
Arxiv, 2026. -
Beyond Execution: Auditing Experimental Fidelity in LLM-Driven Scientific Research
Lezhi Yu, Xiaogang Xu#, Yuhua Zhou, Shuibing He, Aimin Pan.
Arxiv, 2026. -
LLM-based Agents for Forecasting and Prediction: Methods, Training, Evaluation, and Applications
Xiaogang Xu, Jiaqi Tang, Jianmin Chen, Yingying Yan, Zhenchao Tang, Xiangxin Zhou, Xiaobin Hu, et al.
Arxiv, 2026. -
ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs
Jiale Cui, Yueyao Yuan, Kaixi Zhong, Xiaogang Xu#, Jiafei Wu, Zhe Liu.
Arxiv, 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. -
HDRAgent: An Agentic Framework for Multi-Exposure HDR Imaging
Weiyu Zhou, Tao Hu, Yijian Wang, Xiaogang Xu, Ruixing Wang, Qingsen Yan.
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
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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.
Full Reports in 2024
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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
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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
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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.