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Tongliang Liu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

165

Venues

17

Active years

2015–2026

Best venue rank

A*

Where they publish

Papers

165 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAILa La LiDAR: Large-Scale Layout Generation from LiDAR Data.Youquan Liu, Lingdong Kong, Weidong Yang, Xin Li, Alan Liang, Runnan Chen, Ben Fei, Tongliang Liu
2026AAAIGUIC: Certified Graph Unlearning with Individual Fairness Guarantees.Zichong Wang, Tongliang Liu, Wenbin Zhang
2026AAAIRobust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer.Jiaheng Wei, Zhaowei Zhu, Gang Niu, Tongliang Liu, Sijia Liu, Masashi Sugiyama, Yang Liu
2026ACLSelect Before Use: On the Importance of Reference Model Selection in Preference Alignment.Muyang Li, Runze Wu, Xiangyu Zhao, Bo Han, Daoyi Dong, Tongliang Liu
2026ACLMedDCR: Learning to Design Agentic Workflows for Medical Coding.Jiyang Zheng, Islam Nassar, Thanh Vu, Xu Zhong, Yang Lin, Tongliang Liu, Long Duong, Yuan-Fang Li
2025AAAIProvable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection.Zhipeng Zou, Sheng Wan, Guangyu Li, Bo Han, Tongliang Liu, Lin Zhao, Chen Gong
2025CVPRLaVin-DiT: Large Vision Diffusion Transformer.Zhaoqing Wang, Xiaobo Xia, Runnan Chen, Dongdong Yu, Changhu Wang, Mingming Gong, Tongliang Liu
2025CVPRJailbreaking the Non-Transferable Barrier via Test-Time Data Disguising.Yongli Xiang, Ziming Hong, Lina Yao, Dadong Wang, Tongliang Liu
2025ICCVOpenInsGaussian: Open-Vocabulary Instance Gaussian Segmentation with Context-Aware Cross-View Fusion.Tianyu Huang, Runnan Chen, Dongting Hu, Fengming Huang, Mingming Gong, Tongliang Liu
2025ICCVMFT-VITON: High-Fidelity Virtual Try-On with Minimal Input via a Mask-Free Transformer-Diffusion Model.Zhenchen Wan, Yanwu Xu, Dongting Hu, Weilun Cheng, Tianxi Chen, Zhaoqing Wang, Feng Liu, Tongliang Liu, Mingming Gong
2025ICLRNoisy Test-Time Adaptation in Vision-Language Models.Chentao Cao, Zhun Zhong, Zhanke Zhou, Tongliang Liu, Yang Liu, Kun Zhang, Bo Han
2025ICLRTowards Out-of-Modal Generalization without Instance-level Modal Correspondence.Zhuo Huang, Gang Niu, Bo Han, Masashi Sugiyama, Tongliang Liu
2025ICLREfficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations.Xiu-Chuan Li, Tongliang Liu
2025ICLRUnderstanding and Enhancing the Transferability of Jailbreaking Attacks.Runqi Lin, Bo Han, Fengwang Li, Tongliang Liu
2025ICLRRecovery of Causal Graph Involving Latent Variables via Homologous Surrogates.Xiu-Chuan Li, Jun Wang, Tongliang Liu
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
2025ICLRFlow: Modularized Agentic Workflow Automation.Boye Niu, Yiliao Song, Kai Lian, Yifan Shen, Yu Yao, Kun Zhang, Tongliang Liu
2025ICLRTowards Effective Evaluations and Comparisons for LLM Unlearning Methods.Qizhou Wang, Bo Han, Puning Yang, Jianing Zhu, Tongliang Liu, Masashi Sugiyama
2025ICLRLearning Graph Invariance by Harnessing Spuriosity.Tianjun Yao, Yongqiang Chen, Kai Hu, Tongliang Liu, Kun Zhang, Zhiqiang Shen
2025ICLRA Robust Method to Discover Causal or Anticausal Relation.Yu Yao, Yang Zhou, Bo Han, Mingming Gong, Kun Zhang, Tongliang Liu
2025ICLRInstance-dependent Early Stopping.Suqin Yuan, Runqi Lin, Lei Feng, Bo Han, Tongliang Liu
2025ICLRChain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models.Jiyang Zheng, Jialiang Shen, Yu Yao, Min Wang, Yang Yang, Dadong Wang, Tongliang Liu
2025ICMLSurrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models.Liangchen Liu, Nannan Wang, Xi Yang, Xinbo Gao, Tongliang Liu
2025ICMLA Lens into Interpretable Transformer Mistakes via Semantic Dependency.Ruo-Jing Dong, Yu Yao, Bo Han, Tongliang Liu
2025ICMLWhen Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need.Ziming Hong, Runnan Chen, Zengmao Wang, Bo Han, Bo Du, Tongliang Liu
2025ICMLA Sample Efficient Conditional Independence Test in the Presence of Discretization.Boyang Sun, Yu Yao, Xinshuai Dong, Zongfang Liu, Tongliang Liu, Yumou Qiu, Kun Zhang
2025ICMLRanked from Within: Ranking Large Multimodal Models Without Labels.Weijie Tu, Weijian Deng, Dylan Campbell, Yu Yao, Jiyang Zheng, Tom Gedeon, Tongliang Liu
2025ICMLExploring Criteria of Loss Reweighting to Enhance LLM Unlearning.Puning Yang, Qizhou Wang, Zhuo Huang, Tongliang Liu, Chengqi Zhang, Bo Han
2025ICMLFrom Debate to Equilibrium: Belief‑Driven Multi‑Agent LLM Reasoning via Bayesian Nash Equilibrium.Xie Yi, Zhanke Zhou, Chentao Cao, Qiyu Niu, Tongliang Liu, Bo Han
2025IJCAIToward Robust Non-Transferable Learning: A Survey and Benchmark.Ziming Hong, Yongli Xiang, Tongliang Liu
2025IJCAILabel Distribution Learning with Biased Annotations Assisted by Multi-Label Learning.Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng
2024AAAIExploring Channel-Aware Typical Features for Out-of-Distribution Detection.Rundong He, Yue Yuan, Zhongyi Han, Fan Wang, Wan Su, Yilong Yin, Tongliang Liu, Yongshun Gong
2024AAAIE2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning.Qiang Qu, Yiran Shen, Xiaoming Chen, Yuk Ying Chung, Tongliang Liu
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
2024CVPRYour Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning.Ziming Hong, Li Shen, Tongliang Liu
2024CVPREnhanced Motion-Text Alignment for Image-to-Video Transfer Learning.Wei Zhang, Chaoqun Wan, Tongliang Liu, Xinmei Tian, Xu Shen, Jieping Ye
2024ECCVTraining A Secure Model Against Data-Free Model Extraction.Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao
2024ICLREnhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting.Rong Dai, Yonggang Zhang, Ang Li, Tongliang Liu, Xun Yang, Bo Han
2024ICLRImproving Non-Transferable Representation Learning by Harnessing Content and Style.Ziming Hong, Zhenyi Wang, Li Shen, Yu Yao, Zhuo Huang, Shiming Chen, Chuanwu Yang, Mingming Gong, Tongliang Liu
2024ICLRNegative Label Guided OOD Detection with Pretrained Vision-Language Models.Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han
2024ICLRNeural Auto-designer for Enhanced Quantum Kernels.Cong Lei, Yuxuan Du, Peng Mi, Jun Yu, Tongliang Liu
2024ICLRFederated Causal Discovery from Heterogeneous Data.Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang
2024ICLROn the Over-Memorization During Natural, Robust and Catastrophic Overfitting.Runqi Lin, Chaojian Yu, Bo Han, Tongliang Liu
2024ICLRCausal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions.Xiu-Chuan Li, Kun Zhang, Tongliang Liu
2024ICLROut-of-Distribution Detection with Negative Prompts.Jun Nie, Yonggang Zhang, Zhen Fang, Tongliang Liu, Bo Han, Xinmei Tian
2024ICLRFedImpro: Measuring and Improving Client Update in Federated Learning.Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu, Bo Han, Xiaowen Chu
2024ICLREarly Stopping Against Label Noise Without Validation Data.Suqin Yuan, Lei Feng, 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
2024ICLRRobust Training of Federated Models with Extremely Label Deficiency.Yonggang Zhang, Zhiqin Yang, Xinmei Tian, Nannan Wang, Tongliang Liu, Bo Han
2024ICLREnhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation.Jiyang Zheng, Yu Yao, Bo Han, Dadong Wang, Tongliang Liu
2024ICLRNoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation.Pengfei Zheng, Yonggang Zhang, Zhen Fang, Tongliang Liu, Defu Lian, Bo Han
2024ICMLEnvisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection.Chentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu, Tongliang Liu, Bo Han
2024ICMLMachine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning.Zhuo Huang, Chang Liu, Yinpeng Dong, Hang Su, Shibao Zheng, Tongliang Liu
2024ICMLTask-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning.Yusong Hu, De Cheng, Dingwen Zhang, Nannan Wang, Tongliang Liu, Xinbo Gao
2024ICMLLayer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency.Runqi Lin, Chaojian Yu, Bo Han, Hang Su, Tongliang Liu
2024ICMLTowards Realistic Model Selection for Semi-supervised Learning.Muyang Li, Xiaobo Xia, Runze Wu, Fengming Huang, Jun Yu, Bo Han, Tongliang Liu
2024ICMLMOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence.Hongduan Tian, Feng Liu, Tongliang Liu, Bo Du, Yiu-ming Cheung, Bo Han
2024ICMLOptimal Kernel Choice for Score Function-based Causal Discovery.Wenjie Wang, Biwei Huang, Feng Liu, Xinge You, Tongliang Liu, Kun Zhang, Mingming Gong
2024ICMLUnraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning.Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, 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
2024ICMLImproving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training.Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, 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
2023CVPRArchitecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning.Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao
2023CVPRBiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency.Shuo Yang, Zhaopan Xu, Kai Wang, Yang You, Hongxun Yao, Tongliang Liu, Min Xu
2023CVPRDeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting.Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Tongliang Liu, Bo Du, Dacheng Tao
2023ICCVHumanMAC: Masked Motion Completion for Human Motion Prediction.Ling-Hao Chen, Jiawei Zhang, Yewen Li, Yiren Pang, Xiaobo Xia, Tongliang Liu
2023ICCVPADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels.Huaxi Huang, Hui Kang, Sheng Liu, Olivier Salvado, Thierry Rakotoarivelo, Dadong Wang, Tongliang Liu
2023ICCVMultiscale Representation for Real-Time Anti-Aliasing Neural Rendering.Dongting Hu, Zhenkai Zhang, Tingbo Hou, Tongliang Liu, Huan Fu, Mingming Gong
2023ICCVPoint-Query Quadtree for Crowd Counting, Localization, and More.Chengxin Liu, Hao Lu, Zhiguo Cao, 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
2023ICCVALIP: Adaptive Language-Image Pre-training with Synthetic Caption.Kaicheng Yang, Jiankang Deng, Xiang An, Jiawei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu
2023ICCVLate Stopping: Avoiding Confidently Learning from Mislabeled Examples.Suqin Yuan, Lei Feng, Tongliang Liu
2023ICLRUnicom: Universal and Compact Representation Learning for Image Retrieval.Xiang An, Jiankang Deng, Kaicheng Yang, Jaiwei Li, Ziyong Feng, Jia Guo, Jing Yang, 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
2023ICLRContextual Convolutional Networks.Shuxian Liang, Xu Shen, Tongliang Liu, Xian-Sheng Hua
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
2023ICLRMosaic Representation Learning for Self-supervised Visual Pre-training.Zhaoqing Wang, Ziyu Chen, Yaqian Li, Yandong Guo, Jun Yu, Mingming Gong, Tongliang Liu
2023ICLRSymmetric Pruning in Quantum Neural Networks.Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao
2023ICLROut-of-distribution Detection with Implicit Outlier Transformation.Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, 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
2023ICLRCombating Exacerbated Heterogeneity for Robust Models in Federated Learning.Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han
2023ICMLEvolving Semantic Prototype Improves Generative Zero-Shot Learning.Shiming Chen, Wenjin Hou, Ziming Hong, Xiaohan Ding, Yibing Song, Xinge You, Tongliang Liu, Kun Zhang
2023ICMLDiversity-enhancing Generative Network for Few-shot Hypothesis Adaptation.Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han
2023ICMLDetecting Out-of-distribution Data through In-distribution Class Prior.Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han
2023ICMLA Universal Unbiased Method for Classification from Aggregate Observations.Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen
2023ICMLWhich is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, Tongliang Liu
2023ICMLPhase-aware Adversarial Defense for Improving Adversarial Robustness.Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, Tongliang Liu
2023ICMLEliminating Adversarial Noise via Information Discard and Robust Representation Restoration.Dawei Zhou, Yukun Chen, Nannan Wang, Decheng Liu, Xinbo Gao, Tongliang Liu
2023ICMLExploring Model Dynamics for Accumulative Poisoning Discovery.Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han
2023ICMLUnleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability.Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han
2023IJCAIGraph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities.Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao
2022CCGRIDTrain Me to Fight: Machine-Learning Based On-Device Malware Detection for Mobile Devices.Amirmohammad Pasdar, Young Choon Lee, Tongliang Liu, Seok-Hee Hong
2022CIKMLearning and Mining with Noisy Labels.Masashi Sugiyama, Tongliang Liu, Bo Han, Yang Liu, Gang Niu
2022CVPRKilling Two Birds with One Stone: Efficient and Robust Training of Face Recognition CNNs by Partial FC.Xiang An, Jiankang Deng, Jia Guo, Ziyong Feng, Xuhan Zhu, Jing Yang, Tongliang Liu
2022CVPRInstance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation.De Cheng, Tongliang Liu, Yixiong Ning, Nannan Wang, Bo Han, Gang Niu, Xinbo Gao, Masashi Sugiyama
2022CVPRSimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation.Xiaoqing Guo, Jie Liu, Tongliang Liu, Yixuan Yuan
2022CVPRSelective-Supervised Contrastive Learning with Noisy Labels.Shikun Li, Xiaobo Xia, Shiming Ge, Tongliang Liu
2022CVPRCRIS: CLIP-Driven Referring Image Segmentation.Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, Tongliang Liu
2022CVPRExploring Set Similarity for Dense Self-supervised Representation Learning.Zhaoqing Wang, Qiang Li, Guoxin Zhang, Pengfei Wan, Wen Zheng, Nannan Wang, Mingming Gong, Tongliang Liu
2022CVPRMutual Quantization for Cross-Modal Search with Noisy Labels.Erkun Yang, Dongren Yao, Tongliang Liu, Cheng Deng
2022ECCVUnleashing the Potential of Adaptation Models via Go-getting Domain Labels.Xin Jin, Tianyu He, Xu Shen, Songhua Wu, Tongliang Liu, Jingwen Ye, Xinchao Wang, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua
2022ICLRUnderstanding and Improving Graph Injection Attack by Promoting Unnoticeability.Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng
2022ICLRMeta Discovery: Learning to Discover Novel Classes given Very Limited Data.Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, Gang Niu, Mingyuan Zhou, Masashi Sugiyama
2022ICLRLearning with Noisy Labels Revisited: A Study Using Real-World Human Annotations.Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang 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
2022ICLRRethinking Class-Prior Estimation for Positive-Unlabeled Learning.Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao
2022ICLRExploiting Class Activation Value for Partial-Label Learning.Fei Zhang, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Tao Qin, Masashi Sugiyama
2022ICLRAdversarial Robustness Through the Lens of Causality.Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schlkopf, Kun Zhang
2022ICLRReliable Adversarial Distillation with Unreliable Teachers.Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang
2022ICMIImproving Supervised Learning in Conversational Analysis through Reusing Preprocessing Data as Auxiliary Supervisors.Joshua Y. Kim, Tongliang Liu, Kalina Yacef
2022ICMLTo Smooth or Not? When Label Smoothing Meets Noisy Labels.Jiaheng Wei, Hangyu Liu, Tongliang Liu, Gang Niu, Masashi Sugiyama, Yang Liu
2022ICMLEstimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network.Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu
2022ICMLUnderstanding Robust Overfitting of Adversarial Training and Beyond.Chaojian Yu, Bo Han, Li Shen, Jun Yu, Chen Gong, Mingming Gong, Tongliang Liu
2022ICMLImproving Adversarial Robustness via Mutual Information Estimation.Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu
2022ICMLModeling Adversarial Noise for Adversarial Training.Dawei Zhou, Nannan Wang, Bo Han, Tongliang Liu
2022IJCAIRobust Weight Perturbation for Adversarial Training.Chaojian Yu, Bo Han, Mingming Gong, Li Shen, Shiming Ge, Bo Du, Tongliang Liu
2022KDDBilateral Dependency Optimization: Defending Against Model-inversion Attacks.Xiong Peng, Feng Liu, Jingfeng Zhang, Long Lan, Junjie Ye, Tongliang Liu, Bo Han
2022KDDSample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data.Xiaobo Xia, Shuo Shan, Mingming Gong, Nannan Wang, Fei Gao, Haikun Wei, Tongliang Liu
2022MMSPNonlinear Multi-Model Reuse.Yong Luo, Ling-Yu Duan, Yan Bai, Tongliang Liu, Yihang Lou, Yonggang Wen
2021AAAITackling Instance-Dependent Label Noise via a Universal Probabilistic Model.Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong
2021AAAILearning with Group Noise.Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han
2021CVPRRevisiting Knowledge Distillation: An Inheritance and Exploration Framework.Zhen Huang, Xu Shen, Jun Xing, Tongliang Liu, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua
2021CVPRA Second-Order Approach to Learning With Instance-Dependent Label Noise.Zhaowei Zhu, Tongliang Liu, Yang Liu
2021ICCVMe-Momentum: Extracting Hard Confident Examples from Noisily Labeled Data.Yingbin Bai, Tongliang Liu
2021ICCVRemoving Adversarial Noise in Class Activation Feature Space.Dawei Zhou, Nannan Wang, Chunlei Peng, Xinbo Gao, Xiaoyu Wang, Jun Yu, 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
2021ICMLConfidence Scores Make Instance-dependent Label-noise Learning Possible.Antonin Berthon, Bo Han, Gang Niu, Tongliang Liu, Masashi Sugiyama
2021ICMLLearning Diverse-Structured Networks for Adversarial Robustness.Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama
2021ICMLMaximum Mean Discrepancy Test is Aware of Adversarial Attacks.Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama
2021ICMLProvably End-to-end Label-noise Learning without Anchor Points.Xuefeng Li, Tongliang Liu, Bo Han, Gang Niu, Masashi Sugiyama
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
2021ICMLTowards Defending against Adversarial Examples via Attack-Invariant Features.Dawei Zhou, Tongliang Liu, Bo Han, Nannan Wang, Chunlei Peng, Xinbo Gao
2021IGARSSVecnet: A Spectral and Multi-Scale Spatial Fusion Deep Network for Pixel-Level Cloud Type Classification in Himawari-8 Imagery.Zhaoqing Wang, Xiangyu Kong, Zhanbei Cui, Ming Wu, Chuang Zhang, Mingming Gong, Tongliang Liu
2021MICCAIRelational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition.Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge
2021SDMRobust Dual Recurrent Neural Networks for Financial Time Series Prediction.Jiayu He, Matloob Khushi, Nguyen Hoang Tran, Tongliang Liu
2020AAAIDiversified Bayesian Nonnegative Matrix Factorization.Maoying Qiao, Jun Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao
2020AAAIGenerative-Discriminative Complementary Learning.Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich
2020ECCVSub-center ArcFace: Boosting Face Recognition by Large-Scale Noisy Web Faces.Jiankang Deng, Jia Guo, Tongliang Liu, Mingming Gong, Stefanos Zafeiriou
2020ICMLLearning with Bounded Instance and Label-dependent Label Noise.Jiacheng Cheng, Tongliang Liu, Kotagiri Ramamohanarao, Dacheng Tao
2020ICMLLTF: A Label Transformation Framework for Correcting Label Shift.Jiaxian Guo, Mingming Gong, Tongliang Liu, Kun Zhang, Dacheng Tao
2020ICMLLabel-Noise Robust Domain Adaptation.Xiyu Yu, Tongliang Liu, Mingming Gong, Kun Zhang, Kayhan Batmanghelich, Dacheng Tao
2020ICMLDual-Path Distillation: A Unified Framework to Improve Black-Box Attacks.Yonggang Zhang, Ya Li, Tongliang Liu, Xinmei Tian
2019CVPRDistillHash: Unsupervised Deep Hashing by Distilling Data Pairs.Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao
2019IJCAIPositive and Unlabeled Learning with Label Disambiguation.Chuang Zhang, Dexin Ren, Tongliang Liu, Jian Yang, Chen Gong
2018AAAIDomain Generalization via Conditional Invariant Representations.Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao
2018AAAIReliable Multi-View Clustering.Hong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu
2018ACCVRobust Angular Local Descriptor Learning.Yanwu Xu, Mingming Gong, Tongliang Liu, Kayhan Batmanghelich, Chaohui Wang
2018CVPRAn Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption.Xiyu Yu, Tongliang Liu, Mingming Gong, Kayhan Batmanghelich, Dacheng Tao
2018ECCVDeep Domain Generalization via Conditional Invariant Adversarial Networks.Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, Dacheng Tao
2018ECCVCorrecting the Triplet Selection Bias for Triplet Loss.Baosheng Yu, Tongliang Liu, Mingming Gong, Changxing Ding, Dacheng Tao
2018ECCVLearning with Biased Complementary Labels.Xiyu Yu, Tongliang Liu, Mingming Gong, Dacheng Tao
2018IJCAIQuantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization.Yuxuan Du, Tongliang Liu, Yinan Li, Runyao Duan, Dacheng Tao
2018IJCAIOnline Heterogeneous Transfer Metric Learning.Yong Luo, Tongliang Liu, Yonggang Wen, Dacheng Tao
2018IJCAISemantic Structure-based Unsupervised Deep Hashing.Erkun Yang, Cheng Deng, Tongliang Liu, Wei Liu, Dacheng Tao
2017CVPROn Compressing Deep Models by Low Rank and Sparse Decomposition.Xiyu Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao
2017ICMLAlgorithmic Stability and Hypothesis Complexity.Tongliang Liu, Gbor Lugosi, Gergely Neu, Dacheng Tao
2017IJCAIUnderstanding How Feature Structure Transfers in Transfer Learning.Tongliang Liu, Qiang Yang, Dacheng Tao
2017IJCAIGeneral Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer.Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao
2016AAAIDiversified Dynamical Gaussian Process Latent Variable Model for Video Repair.Hao Xiong, Tongliang Liu, Dacheng Tao
2016ICMLDomain Adaptation with Conditional Transferable Components.Mingming Gong, Kun Zhang, Tongliang Liu, Dacheng Tao, Clark Glymour, Bernhard Schlkopf
2015IJCAIMulti-Task Model and Feature Joint Learning.Ya Li, Xinmei Tian, Tongliang Liu, Dacheng Tao
2015KDDSpectral Ensemble Clustering.Hongfu Liu, Tongliang Liu, Junjie Wu, Dacheng Tao, Yun Fu