Xiaobo Xia - RankMe

110 papers A* 31A 1Journal 76Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	APEX: A Decoupled Memory-based Explorer for Asynchronous Aerial Object Goal Navigation. CoRR Daoxuan Zhang, Ping Chen, Xiaobo Xia, Xiu Su, Ruichen Zhen, Jianqiang Xiao, Shuo Yang
2026	J	`jnl`	AUHead: Realistic Emotional Talking Head Generation via Action Units Control. CoRR Jiayi Lyu, Leigang Qu, Wenjing Zhang, Hanyu Jiang, Kai Liu, Zhenglin Zhou, Xiaobo Xia, Jian Xue, Tat-Seng Chua
2026	J	`jnl`	BATQuant: Outlier-resilient MXFP4 Quantization via Learnable Block-wise Optimization. CoRR Ji-Fu Li, Manyi Zhang, Xiaobo Xia, Han Bao, Haoli Bai, Zhenhua Dong, Xianzhi Yu
2026	J	`jnl`	Do All Individual Layers Help? An Empirical Study of Task-Interfering Layers in Vision-Language Models. CoRR Zhiming Liu, Yujie Wei, Lei Feng, Xiu Su, Xiaobo Xia, Weili Guan, Zeke Xie, Shuo Yang
2026	J	`jnl`	FreeAct: Freeing Activations for LLM Quantization. CoRR Xiaohao Liu, Xiaobo Xia, Manyi Zhang, Ji-Fu Li, Xianzhi Yu, Fei Shen, Xiu Su, See-Kiong Ng, Tat-Seng Chua
2026	J	`jnl`	Generalizable Multimodal Large Language Model Editing via Invariant Trajectory Learning. CoRR Jiajie Su, Haoyuan Wang, Xiaohua Feng, Yunshan Ma, Xiaobo Xia, Yuyuan Li, Xiaolin Zheng, Jianmao Xiao, Chaochao Chen
2026	J	`jnl`	Inject Once Survive Later: Backdooring Vision-Language-Action Models to Persist Through Downstream Fine-tuning. CoRR Jianyi Zhou, Yujie Wei, Ruichen Zhen, Bo Zhao, Xiaobo Xia, Rui Shao, Xiu Su, Shuo Yang
2026	J	`jnl`	Lingua-SafetyBench: A Benchmark for Safety Evaluation of Multilingual Vision-Language Models. CoRR Enyi Shi, Pengyang Shao, Yanxin Zhang, Chenhang Cui, Jiayi Lyu, Xu Xie, Xiaobo Xia, Fei Shen, Tat-Seng Chua
2026	A*	`conf`	Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models. AAAI Yuchen Zhou, Jiayu Tang, Shuo Yang, Xiaoyan Xiao, Yuqin Dai, Wenhao Yang, Chao Gou, Xiaobo Xia, Tat-Seng Chua
2026	J	`jnl`	Positive-Unlabeled Reinforcement Learning Distillation for On-Premise Small Models. CoRR Zhiqiang Kou, Junyang Chen, Xin-Qiang Cai, Xiaobo Xia, Ming-Kun Xie, Dong-Dong Wu, Biao Liu, Yuheng Jia, Xin Geng, Masashi Sugiyama, Tat-Seng Chua
2026	A*	`conf`	Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm. AAAI Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiang Chen, Xiaolin Zheng, Chaochao Chen
2026	J	`jnl`	SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models. CoRR Weijiang Lv, Yaoxuan Feng, Xiaobo Xia, Jiayu Wang, Yan Jing, Wenchao Chen, Bo Chen
2026	J	`jnl`	What Makes Low-Bit Quantization-Aware Training Work for Reasoning LLMs? A Systematic Study. CoRR Keyu Lv, Manyi Zhang, Xiaobo Xia, Jingchen Ni, Shannan Yan, Xianzhi Yu, Lu Hou, Chun Yuan, Haoli Bai
2025	J	`jnl`	A three-tier AI solution for equitable glaucoma diagnosis across China's hierarchical healthcare system. npj Digit. Medicine Yi Zhou, Haitao Nie, Xinyu Gong, Minhui Dai, Zhaohong Guo, Xiaoling Deng, Mengyang Li, Yong Liu, Lingyu Sun, Xiangyi Tang, Ling Zhou, Zhiyao Tang, Ziqing Xia, Lemeng Feng, Wulong Zhang, Qingqing Yi, Xiaobo Xia, Bin Xie, Weitao Song
2025	J	`jnl`	AnchorFlow: Training-Free 3D Editing via Latent Anchor-Aligned Flows. CoRR Zhenglin Zhou, Fan Ma, Chengzhuo Gui, Xiaobo Xia, Hehe Fan, Yi Yang, Tat-Seng Chua
2025	J	`jnl`	Calibrated Multimodal Representation Learning with Missing Modalities. CoRR Xiaohao Liu, Xiaobo Xia, Jiaheng Wei, Shuo Yang, Xiu Su, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	Continual Multimodal Contrastive Learning. CoRR Xiaohao Liu, Xiaobo Xia, See-Kiong Ng, Tat-Seng Chua
2025	A*	`conf`	DEEM: Diffusion models serve as the eyes of large language models for image perception. ICLR 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
2025	A*	`conf`	DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization. ICML Zhenglin Zhou, Xiaobo Xia, Fan Ma, Hehe Fan, Yi Yang, Tat-Seng Chua
2025	J	`jnl`	DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization. CoRR Zhenglin Zhou, Xiaobo Xia, Fan Ma, Hehe Fan, Yi Yang, Tat-Seng Chua
2025	J	`jnl`	GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents. CoRR Run Luo, Lu Wang, Wanwei He, Xiaobo Xia
2025	A*	`conf`	Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs. AAAI Lei Zhang, Yunshui Li, Jiaming Li, Xiaobo Xia, Jiaxi Yang, Run Luo, Minzheng Wang, Longze Chen, Junhao Liu, Qiang Qu, Min Yang
2025	J	`jnl`	ITS3D: Inference-Time Scaling for Text-Guided 3D Diffusion Models. CoRR Zhenglin Zhou, Fan Ma, Xiaobo Xia, Hehe Fan, Yi Yang, Tat-Seng Chua
2025	J	`jnl`	Identifying Trustworthiness Challenges in Deep Learning Models for Continental-Scale Water Quality Prediction. CoRR Xiaobo Xia, Xiaofeng Liu, Jiale Liu, Kuai Fang, Lu Lu, Samet Oymak, William S. Currie, Tongliang Liu
2025	J	`jnl`	L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models. CoRR Xiaohao Liu, Xiaobo Xia, Weixiang Zhao, Manyi Zhang, Xianzhi Yu, Xiu Su, Shuo Yang, See-Kiong Ng, Tat-Seng Chua
2025	A*	`conf`	LaVin-DiT: Large Vision Diffusion Transformer. CVPR Zhaoqing Wang, Xiaobo Xia, Runnan Chen, Dongdong Yu, Changhu Wang, Mingming Gong, Tongliang Liu
2025	J	`jnl`	LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment. CoRR Shikun Li, Shipeng Li, Zhiqin Yang, Xinghua Zhang, Gaode Chen, Xiaobo Xia, Hengyu Liu, Zhe Peng
2025	J	`jnl`	Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models. CoRR Yuchen Zhou, Jiayu Tang, Shuo Yang, Xiaoyan Xiao, Yuqin Dai, Wenhao Yang, Chao Gou, Xiaobo Xia, Tat-Seng Chua
2025	—	`conf`	MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct. ACL (Findings) 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
2025	J	`jnl`	NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching. CoRR Run Luo, Xiaobo Xia, Lu Wang, Longze Chen, Renke Shan, Jing Luo, Min Yang, Tat-Seng Chua
2025	J	`jnl`	OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models. CoRR Hao Zheng, Zirui Pang, Ling Li, Zhijie Deng, Yuhan Pu, Zhaowei Zhu, Xiaobo Xia, Jiaheng Wei
2025	J	`jnl`	Potent but Stealthy: Rethink Profile Pollution against Sequential Recommendation via Bi-level Constrained Reinforcement Paradigm. CoRR Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiaolin Zheng, Chaochao Chen
2025	J	`jnl`	Principled Multimodal Representation Learning. CoRR Xiaohao Liu, Xiaobo Xia, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score. CoRR Xuanning Zhou, Hao Zeng, Xiaobo Xia, Bingyi Jing, Hongxin Wei
2025	J	`jnl`	Taming Camera-Controlled Video Generation with Verifiable Geometry Reward. CoRR Zhaoqing Wang, Xiaobo Xia, Zhuolin Bie, Jinlin Liu, Dongdong Yu, Jia-Wang Bian, Changhu Wang
2025	A*	`conf`	Towards Modality Generalization: A Benchmark and Prospective Analysis. ACM Multimedia Xiaohao Liu, Xiaobo Xia, Zhuo Huang, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation. CoRR Jiyu Guo, Shuo Yang, Yiming Huang, Yancheng Long, Xiaobo Xia, Xiu Su, Bo Zhao, Zeke Xie, Liqiang Nie
2025	J	`jnl`	VCM: Vision Concept Modeling Based on Implicit Contrastive Learning with Vision-Language Instruction Fine-Tuning. CoRR Run Luo, Renke Shan, Longze Chen, Ziqiang Liu, Lu Wang, Min Yang, Xiaobo Xia
2025	J	`jnl`	Where, What, Why: Towards Explainable Driver Attention Prediction. CoRR Yuchen Zhou, Jiayu Tang, Xiaoyan Xiao, Yueyao Lin, Linkai Liu, Zipeng Guo, Hao Fei, Xiaobo Xia, Chao Gou
2024	J	`jnl`	Conditional Consistency Regularization for Semi-Supervised Multi-Label Image Classification. IEEE Trans. Multim. Zhengning Wu, Tianyu He, Xiaobo Xia, Jun Yu, Xu Shen, Tongliang Liu
2024	J	`jnl`	DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception. CoRR Run Luo, Yunshui Li, Longze Chen, Wanwei He, Ting-En Lin, Ziqiang Liu, Lei Zhang, Zikai Song, Xiaobo Xia, Tongliang Liu, Min Yang, Binyuan Hui
2024	A	`conf`	ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance. CIKM Ling-Hao Chen, Yuanshuo Zhang, Taohua Huang, Liangcai Su, Zeyi Lin, Xi Xiao, Xiaobo Xia, Tongliang Liu
2024	A*	`conf`	Few-Shot Adversarial Prompt Learning on Vision-Language Models. NeurIPS Yiwei Zhou, Xiaobo Xia, Zhiwei Lin, Bo Han, Tongliang Liu
2024	J	`jnl`	Few-Shot Adversarial Prompt Learning on Vision-Language Models. CoRR Yiwei Zhou, Xiaobo Xia, Zhiwei Lin, Bo Han, Tongliang Liu
2024	J	`jnl`	Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs. CoRR Lei Zhang, Yunshui Li, Jiaming Li, Xiaobo Xia, Jiaxi Yang, Run Luo, Minzheng Wang, Longze Chen, Junhao Liu, Min Yang
2024	A*	`conf`	IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models. ICLR Shaokun Zhang, Xiaobo Xia, Zhaoqing Wang, Ling-Hao Chen, Jiale Liu, Qingyun Wu, Tongliang Liu
2024	J	`jnl`	LaVin-DiT: Large Vision Diffusion Transformer. CoRR Zhaoqing Wang, Xiaobo Xia, Runnan Chen, Dongdong Yu, Changhu Wang, Mingming Gong, Tongliang Liu
2024	J	`jnl`	MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct. CoRR Run Luo, Haonan Zhang, Longze Chen, Ting-En Lin, Xiong Liu, Yuchuan Wu, Min Yang, Minzheng Wang, Pengpeng Zeng, Lianli Gao, Heng Tao Shen, Yunshui Li, Xiaobo Xia, Fei Huang, Jingkuan Song, Yongbin Li
2024	J	`jnl`	Mitigating Label Noise on Graph via Topological Sample Selection. CoRR Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu
2024	A*	`conf`	Mitigating Label Noise on Graphs via Topological Sample Selection. ICML Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu
2024	—	`conf`	One-Shot Learning as Instruction Data Prospector for Large Language Models. ACL (1) 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
2024	J	`jnl`	Open-Vocabulary Segmentation with Unpaired Mask-Text Supervision. CoRR Zhaoqing Wang, Xiaobo Xia, Ziye Chen, Xiao He, Yandong Guo, Mingming Gong, Tongliang Liu
2024	A*	`conf`	Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints. ICML Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Hongxin Wei, Tongliang Liu
2024	J	`jnl`	Regularly Truncated M-Estimators for Learning With Noisy Labels. IEEE Trans. Pattern Anal. Mach. Intell. Xiaobo Xia, Pengqian Lu, Chen Gong, Bo Han, Jun Yu, Jun Yu, Tongliang Liu
2024	J	`jnl`	Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection. CoRR Yewen Li, Chaojie Wang, Xiaobo Xia, Xu He, Ruyi An, Dong Li, Tongliang Liu, Bo An, Xinrun Wang
2024	J	`jnl`	Tackling Noisy Labels With Network Parameter Additive Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. Jingyi Wang, Xiaobo Xia, Long Lan, Xinghao Wu, Jun Yu, Wenjing Yang, Bo Han, Tongliang Liu
2024	J	`jnl`	Tackling Noisy Labels with Network Parameter Additive Decomposition. CoRR Jingyi Wang, Xiaobo Xia, Long Lan, Xinghao Wu, Jun Yu, Wenjing Yang, Bo Han, Tongliang Liu
2024	J	`jnl`	Towards Modality Generalization: A Benchmark and Prospective Analysis. CoRR Xiaohao Liu, Xiaobo Xia, Zhuo Huang, Tat-Seng Chua
2024	A*	`conf`	Towards Realistic Model Selection for Semi-supervised Learning. ICML Muyang Li, Xiaobo Xia, Runze Wu, Fengming Huang, Jun Yu, Bo Han, Tongliang Liu
2024	J	`jnl`	Transferring Annotator- and Instance-Dependent Transition Matrix for Learning From Crowds. IEEE Trans. Pattern Anal. Mach. Intell. Shikun Li, Xiaobo Xia, Jiankang Deng, Shiming Ge, Tongliang Liu
2023	A*	`conf`	A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond. ICLR Yong Lin, Renjie Pi, Weizhong Zhang, Xiaobo Xia, Jiahui Gao, Xiao Zhou, Tongliang Liu, Bo Han
2023	A*	`conf`	Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples. ICCV Xiaobo Xia, Bo Han, Yibing Zhan, Jun Yu, Mingming Gong, Chen Gong, Tongliang Liu
2023	J	`jnl`	Coreset Selection with Prioritized Multiple Objectives. CoRR Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Tongliang Liu
2023	J	`jnl`	Dynamics-Aware Loss for Learning with Label Noise. CoRR Xiu-Chuan Li, Xiaobo Xia, Fei Zhu, Tongliang Liu, Xu-Yao Zhang, Cheng-Lin Liu
2023	J	`jnl`	Dynamics-aware loss for learning with label noise. Pattern Recognit. Xiu-Chuan Li, Xiaobo Xia, Fei Zhu, Tongliang Liu, Xu-Yao Zhang, Cheng-Lin Liu
2023	J	`jnl`	ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance. CoRR Linghao Chen, Yuanshuo Zhang, Taohua Huang, Liangcai Su, Zeyi Lin, Xi Xiao, Xiaobo Xia, Tongliang Liu
2023	J	`jnl`	Extended $T$T: Learning With Mixed Closed-Set and Open-Set Noisy Labels. IEEE Trans. Pattern Anal. Mach. Intell. Xiaobo Xia, Bo Han, Nannan Wang, Jiankang Deng, Jiatong Li, Yinian Mao, Tongliang Liu
2023	A*	`conf`	Harnessing Out-Of-Distribution Examples via Augmenting Content and Style. ICLR Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu
2023	A*	`conf`	Holistic Label Correction for Noisy Multi-Label Classification. ICCV Xiaobo Xia, Jiankang Deng, Wei Bao, Yuxuan Du, Bo Han, Shiguang Shan, Tongliang Liu
2023	A*	`conf`	HumanMAC: Masked Motion Completion for Human Motion Prediction. ICCV Ling-Hao Chen, Jiawei Zhang, Yewen Li, Yiren Pang, Xiaobo Xia, Tongliang Liu
2023	J	`jnl`	HumanMAC: Masked Motion Completion for Human Motion Prediction. CoRR Ling-Hao Chen, Jiawei Zhang, Yewen Li, Yiren Pang, Xiaobo Xia, Tongliang Liu
2023	J	`jnl`	IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models. CoRR Shaokun Zhang, Xiaobo Xia, Zhaoqing Wang, Ling-Hao Chen, Jiale Liu, Qingyun Wu, Tongliang Liu
2023	J	`jnl`	Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision. CoRR Yuhao Wu, Xiaobo Xia, Jun Yu, Bo Han, Gang Niu, Masashi Sugiyama, Tongliang Liu
2023	A*	`conf`	Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning. ICLR Xiaobo Xia, Jiale Liu, Jun Yu, Xu Shen, Bo Han, Tongliang Liu
2023	J	`jnl`	Multi-Label Noise Transition Matrix Estimation with Label Correlations: Theory and Algorithm. CoRR Shikun Li, Xiaobo Xia, Hansong Zhang, Shiming Ge, Tongliang Liu
2023	J	`jnl`	One Shot Learning as Instruction Data Prospector for Large Language Models. CoRR Yunshui Li, Binyuan Hui, Xiaobo Xia, Jiaxi Yang, Min Yang, Lei Zhang, Shuzheng Si, Junhao Liu, Tongliang Liu, Fei Huang, Yongbin Li
2023	A*	`conf`	Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources. NeurIPS Haotian Zheng, Qizhou Wang, Zhen Fang, Xiaobo Xia, Feng Liu, Tongliang Liu, Bo Han
2023	J	`jnl`	Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources. CoRR Haotian Zheng, Qizhou Wang, Zhen Fang, Xiaobo Xia, Feng Liu, Tongliang Liu, Bo Han
2023	J	`jnl`	Regularly Truncated M-estimators for Learning with Noisy Labels. CoRR Xiaobo Xia, Pengqian Lu, Chen Gong, Bo Han, Jun Yu, Jun Yu, Tongliang Liu
2023	A*	`conf`	Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization. CVPR Zhuo Huang, Miaoxi Zhu, Xiaobo Xia, Li Shen, Jun Yu, Chen Gong, Bo Han, Bo Du, Tongliang Liu
2023	J	`jnl`	Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization. CoRR Zhuo Huang, Miaoxi Zhu, Xiaobo Xia, Li Shen, Jun Yu, Chen Gong, Bo Han, Bo Du, Tongliang Liu
2023	J	`jnl`	Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds. CoRR Shikun Li, Xiaobo Xia, Jiankang Deng, Shiming Ge, Tongliang Liu
2023	J	`jnl`	VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence. CoRR Jianing Qiu, Jian Wu, Hao Wei, Peilun Shi, Minqing Zhang, Yunyun Sun, Lin Li, Hanruo Liu, Hongyi Liu, Simeng Hou, Yuyang Zhao, Xuehui Shi, Junfang Xian, Xiaoxia Qu, Sirui Zhu, Lijie Pan, Xiaoniao Chen, Xiaojia Zhang, Shuai Jiang, Kebing Wang, Chenlong Yang, Mingqiang Chen, Sujie Fan, Jianhua Hu, Aiguo Lv, Hui Miao, Li Guo, Shujun Zhang, Cheng Pei, Xiaojuan Fan, Jianqin Lei, Ting Wei, Junguo Duan, Chun Liu, Xiaobo Xia, Siqi Xiong, Junhong Li, Benny Lo, Yih Chung Tham, Tien Yin Wong, Ningli Wang, Wu Yuan
2022	J	`jnl`	A machine learning approach for predicting human shortest path task performance. Vis. Informatics Shijun Cai, Seok-Hee Hong, Xiaobo Xia, Tongliang Liu, Weidong Huang
2022	A*	`conf`	Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning. NeurIPS Shikun Li, Xiaobo Xia, Hansong Zhang, Yibing Zhan, Shiming Ge, Tongliang Liu
2022	J	`jnl`	Harnessing Out-Of-Distribution Examples via Augmenting Content and Style. CoRR Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu
2022	J	`jnl`	LR-SVM+: Learning Using Privileged Information with Noisy Labels. IEEE Trans. Multim. Zhengning Wu, Xiaobo Xia, Ruxin Wang, Jiatong Li, Jun Yu, Yinian Mao, Tongliang Liu
2022	A*	`conf`	Objects in Semantic Topology. ICLR Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu
2022	A*	`conf`	Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE. NeurIPS Yewen Li, Chaojie Wang, Xiaobo Xia, Tongliang Liu, Xin Miao, Bo An
2022	A*	`conf`	Pluralistic Image Completion with Gaussian Mixture Models. NeurIPS Xiaobo Xia, Wenhao Yang, Jie Ren, Yewen Li, Yibing Zhan, Bo Han, Tongliang Liu
2022	J	`jnl`	Pluralistic Image Completion with Probabilistic Mixture-of-Experts. CoRR Xiaobo Xia, Wenhao Yang, Jie Ren, Yewen Li, Yibing Zhan, Bo Han, Tongliang Liu
2022	A*	`conf`	Sample Selection with Uncertainty of Losses for Learning with Noisy Labels. ICLR Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama
2022	A*	`conf`	Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data. KDD Xiaobo Xia, Shuo Shan, Mingming Gong, Nannan Wang, Fei Gao, Haikun Wei, Tongliang Liu
2022	A*	`conf`	Selective-Supervised Contrastive Learning with Noisy Labels. CVPR Shikun Li, Xiaobo Xia, Shiming Ge, Tongliang Liu
2022	J	`jnl`	Selective-Supervised Contrastive Learning with Noisy Labels. CoRR Shikun Li, Xiaobo Xia, Shiming Ge, Tongliang Liu
2021	J	`jnl`	BloodCaps: A capsule network based model for the multiclassification of human peripheral blood cells. Comput. Methods Programs Biomed. Fei Long, Jing-Jie Peng, Weitao Song, Xiaobo Xia, Jun Sang
2021	A*	`conf`	Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels. ICML Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu
2021	J	`jnl`	Instance Correction for Learning with Open-set Noisy Labels. CoRR Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama
2021	J	`jnl`	Kernel Mean Estimation by Marginalized Corrupted Distributions. CoRR Xiaobo Xia, Shuo Shan, Mingming Gong, Nannan Wang, Fei Gao, Haikun Wei, Tongliang Liu
2021	J	`jnl`	Learning lightweight super-resolution networks with weight pruning. Neural Networks Xinrui Jiang, Nannan Wang, Jingwei Xin, Xiaobo Xia, Xi Yang, Xinbo Gao
2021	J	`jnl`	Objects in Semantic Topology. CoRR Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu
2021	A*	`conf`	Robust early-learning: Hindering the memorization of noisy labels. ICLR Xiaobo Xia, Tongliang Liu, Bo Han, Chen Gong, Nannan Wang, Zongyuan Ge, Yi Chang
2021	J	`jnl`	Sample Selection with Uncertainty of Losses for Learning with Noisy Labels. CoRR Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama
2020	J	`jnl`	Class2Simi: A New Perspective on Learning with Label Noise. CoRR Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu
2020	J	`jnl`	Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels. CoRR Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Jiankang Deng, Jiatong Li, Yinian Mao
2020	J	`jnl`	Multi-Class Classification from Noisy-Similarity-Labeled Data. CoRR Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu
2020	A*	`conf`	Part-dependent Label Noise: Towards Instance-dependent Label Noise. NeurIPS Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Mingming Gong, Haifeng Liu, Gang Niu, Dacheng Tao, Masashi Sugiyama
2020	J	`jnl`	Parts-dependent Label Noise: Towards Instance-dependent Label Noise. CoRR Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Mingming Gong, Haifeng Liu, Gang Niu, Dacheng Tao, Masashi Sugiyama
2019	A*	`conf`	Are Anchor Points Really Indispensable in Label-Noise Learning? NeurIPS Xiaobo Xia, Tongliang Liu, Nannan Wang, Bo Han, Chen Gong, Gang Niu, Masashi Sugiyama
2019	J	`jnl`	Are Anchor Points Really Indispensable in Label-Noise Learning? CoRR Xiaobo Xia, Tongliang Liu, Nannan Wang, Bo Han, Chen Gong, Gang Niu, Masashi Sugiyama