Yu, Xiaodong

15 publications

ICLR 2026 ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning Yuxiang Guo, Jiang Liu, Ze Wang, Hao Chen, Ximeng Sun, Yang Zhao, Jialian Wu, Xiaodong Yu, Zicheng Liu, Emad Barsoum

ICLR 2026 Latent Visual Reasoning Bangzheng Li, Ximeng Sun, Jiang Liu, Ze Wang, Jialian Wu, Xiaodong Yu, Emad Barsoum, Muhao Chen, Zicheng Liu

TMLR 2026 Learning from Online Videos at Inference Time for Computer-Use Agents Yujian Liu, Ze Wang, Hao Chen, Ximeng Sun, Xiaodong Yu, Jialian Wu, Jiang Liu, Emad Barsoum, Zicheng Liu, Shiyu Chang

ICLR 2026 Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity Yide Ran, Wentao Guo, Jingwei Sun, Yanzhou Pan, Xiaodong Yu, Hao Wang, Jianwen Xie, Yiran Chen, Denghui Zhang, Zhaozhuo Xu

ICLR 2026 XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models Xingrui Wang, Jiang Liu, Chao Huang, Xiaodong Yu, Ze Wang, Ximeng Sun, Jialian Wu, Alan Yuille, Emad Barsoum, Zicheng Liu

ICLR 2026 ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training Feijiang Han, Xiaodong Yu, Jianheng Tang, Delip Rao, Weihua Du, Lyle Ungar

NeurIPS 2025 Unleashing Hour-Scale Video Training for Long Video-Language Understanding Jingyang Lin, Jialian Wu, Ximeng Sun, Ze Wang, Jiang Liu, Yusheng Su, Xiaodong Yu, Hao Chen, Jiebo Luo, Zicheng Liu, Emad Barsoum

ICLR 2025 Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity Wentao Guo, Jikai Long, Yimeng Zeng, Zirui Liu, Xinyu Yang, Yide Ran, Jacob R. Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, Zhaozhuo Xu

ICMLW 2024 Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity Wentao Guo, Jikai Long, Yimeng Zeng, Zirui Liu, Xinyu Yang, Yide Ran, Jacob R. Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, Zhaozhuo Xu

ICMLW 2024 Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity Wentao Guo, Jikai Long, Yimeng Zeng, Zirui Liu, Xinyu Yang, Yide Ran, Jacob R. Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, Zhaozhuo Xu

NeurIPSW 2023 Automatic Hallucination Assessment for Aligned Large Language Models via Transferable Adversarial Attacks Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao

AAAI 2022 SOIT: Segmenting Objects with Instance-Aware Transformers Xiaodong Yu, Dahu Shi, Xing Wei, Ye Ren, Tingqun Ye, Wenming Tan

ICCV 2011 Active Scene Recognition with Vision and Language Xiaodong Yu, Cornelia Fermüller, Ching Lik Teo, Yezhou Yang, Yiannis Aloimonos

ECCV 2010 Attribute-Based Transfer Learning for Object Categorization with Zero/One Training Example Xiaodong Yu, Yiannis Aloimonos

ECCV 2008 Learning Visual Shape Lexicon for Document Image Content Recognition Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann