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Xiaobo Xia

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

30

Venues

8

Active years

2021–2026

Best venue rank

A*

Where they publish

Papers

30 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIPotent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm.Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiang Chen, Xiaolin Zheng, Chaochao Chen
2026AAAILogic Unseen: Revealing the Logical Blindspots of Vision-Language Models.Yuchen Zhou, Jiayu Tang, Shuo Yang, Xiaoyan Xiao, Yuqin Dai, Wenhao Yang, Chao Gou, Xiaobo Xia, Tat-Seng Chua
2026ACLLearnAlign: Data Selection for LLM Reinforcement Learning with Improved Gradient Alignment.Shipeng Li, Zhiqin Yang, Shikun Li, Xiaobo Xia, Hengyu Liu, Xinghua Zhang, Gaode Chen, Dong Fang, Ying Tai, Zhe Peng
2026ACLSPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models.Weijiang Lv, Yaoxuan Feng, Xiaobo Xia, Jiayu Wang, Yan Jing, Wenchao Chen, Bo Chen
2026ACLOFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models.Hao Zheng, Zirui Pang, Ling Li, Zhijie Deng, Yuhan Pu, Zhaowei Zhu, Xiaobo Xia, Jiaheng Wei
2025AAAIHierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs.Lei Zhang, Yunshui Li, Jiaming Li, Xiaobo Xia, Jiaxi Yang, Run Luo, Minzheng Wang, Longze Chen, Junhao Liu, Qiang Qu, Min Yang
2025ACLMMEvol: Empowering Multimodal Large Language Models with Evol-Instruct.Run Luo, Haonan Zhang, Longze Chen, Ting-En Lin, Xiong Liu, Yuchuan Wu, Min Yang, Yongbin Li, Minzheng Wang, Pengpeng Zeng, Lianli Gao, Heng Tao Shen, Yunshui Li, Hamid Alinejad-Rokny, Xiaobo Xia, Jingkuan Song, Fei Huang
2025CVPRLaVin-DiT: Large Vision Diffusion Transformer.Zhaoqing Wang, Xiaobo Xia, Runnan Chen, Dongdong Yu, Changhu Wang, Mingming Gong, Tongliang Liu
2025ICCVWhere, What, Why: Towards Explainable Driver Attention Prediction.Yuchen Zhou, Jiayu Tang, Xiaoyan Xiao, Yueyao Lin, Linkai Liu, Zipeng Guo, Hao Fei, Xiaobo Xia, Chao Gou
2025ICLRDEEM: Diffusion models serve as the eyes of large language models for image perception.Run Luo, Yunshui Li, Longze Chen, Wanwei He, Ting-En Lin, Ziqiang Liu, Lei Zhang, Zikai Song, Hamid Rokny, Xiaobo Xia, Tongliang Liu, Binyuan Hui, Min Yang
2025ICMLDreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization.Zhenglin Zhou, Xiaobo Xia, Fan Ma, Hehe Fan, Yi Yang, Tat-Seng Chua
2024ACLOne-Shot Learning as Instruction Data Prospector for Large Language Models.Yunshui Li, Binyuan Hui, Xiaobo Xia, Jiaxi Yang, Min Yang, Lei Zhang, Shuzheng Si, Ling-Hao Chen, Junhao Liu, Tongliang Liu, Fei Huang, Yongbin Li
2024CIKMERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance.Ling-Hao Chen, Yuanshuo Zhang, Taohua Huang, Liangcai Su, Zeyi Lin, Xi Xiao, Xiaobo Xia, Tongliang Liu
2024ICLRIDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models.Shaokun Zhang, Xiaobo Xia, Zhaoqing Wang, Ling-Hao Chen, Jiale Liu, Qingyun Wu, Tongliang Liu
2024ICMLTowards Realistic Model Selection for Semi-supervised Learning.Muyang Li, Xiaobo Xia, Runze Wu, Fengming Huang, Jun Yu, Bo Han, Tongliang Liu
2024ICMLMitigating Label Noise on Graphs via Topological Sample Selection.Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu
2024ICMLRefined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints.Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Hongxin Wei, Tongliang Liu
2023CVPRRobust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization.Zhuo Huang, Miaoxi Zhu, Xiaobo Xia, Li Shen, Jun Yu, Chen Gong, Bo Han, Bo Du, Tongliang Liu
2023ICCVHumanMAC: Masked Motion Completion for Human Motion Prediction.Ling-Hao Chen, Jiawei Zhang, Yewen Li, Yiren Pang, Xiaobo Xia, Tongliang Liu
2023ICCVCombating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples.Xiaobo Xia, Bo Han, Yibing Zhan, Jun Yu, Mingming Gong, Chen Gong, Tongliang Liu
2023ICCVHolistic Label Correction for Noisy Multi-Label Classification.Xiaobo Xia, Jiankang Deng, Wei Bao, Yuxuan Du, Bo Han, Shiguang Shan, Tongliang Liu
2023ICLRHarnessing Out-Of-Distribution Examples via Augmenting Content and Style.Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu
2023ICLRA Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond.Yong Lin, Renjie Pi, Weizhong Zhang, Xiaobo Xia, Jiahui Gao, Xiao Zhou, Tongliang Liu, Bo Han
2023ICLRModerate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning.Xiaobo Xia, Jiale Liu, Jun Yu, Xu Shen, Bo Han, Tongliang Liu
2022CVPRSelective-Supervised Contrastive Learning with Noisy Labels.Shikun Li, Xiaobo Xia, Shiming Ge, Tongliang Liu
2022ICLRSample Selection with Uncertainty of Losses for Learning with Noisy Labels.Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama
2022ICLRObjects in Semantic Topology.Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu
2022KDDSample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data.Xiaobo Xia, Shuo Shan, Mingming Gong, Nannan Wang, Fei Gao, Haikun Wei, Tongliang Liu
2021ICLRRobust early-learning: Hindering the memorization of noisy labels.Xiaobo Xia, Tongliang Liu, Bo Han, Chen Gong, Nannan Wang, Zongyuan Ge, Yi Chang
2021ICMLClass2Simi: A Noise Reduction Perspective on Learning with Noisy Labels.Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu