PPaperPicks

Tongliang Liu

85 papers at tracked venues · 81 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-9640-6472 ↗Google Scholar ↗Homepage ↗

Venues

ICLR ×26NeurIPS ×22ICML ×18AAAI ×6CVPR ×4ACL ×3ICCV ×2IJCAI ×2CIKM ×1ECCV ×1

Frequent coauthors

Bo Han
×35
Yu Yao
×11
Feng Liu
×11
Mingming Gong
×10
Kun Zhang
×9
Xiaobo Xia
×9
Runnan Chen
×6
Yonggang Zhang
×6
Jiyang Zheng
×5
Xinmei Tian
×5
Zhuo Huang
×5
Ziming Hong
×5

Papers

  1. GUIC: Certified Graph Unlearning with Individual Fairness Guarantees
    AAAI 2026 ·
    Zichong Wang
    , Tongliang Liu,
    Wenbin Zhang
  2. La La LiDAR: Large-Scale Layout Generation from LiDAR Data
    AAAI 2026 ·
    Youquan Liu
    ,
    Lingdong Kong
    ,
    Weidong Yang
    ,
    Xin Li
    ,
    Alan Liang
    ,
    Runnan Chen
    ,
    Ben Fei
    , Tongliang Liu
  3. MedDCR: Learning to Design Agentic Workflows for Medical Coding
    ACL 2026 ·
    Jiyang Zheng
    ,
    Islam Nassar
    ,
    Thanh Vu
    ,
    Xu Zhong
    ,
    Yang Lin
    , Tongliang Liu,
    Long Duong
    ,
    Yuan-Fang Li
  4. Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer
    AAAI 2026 ·
    Jiaheng Wei
    ,
    Zhaowei Zhu
    ,
    Gang Niu
    , Tongliang Liu,
    Sijia Liu
    ,
    Masashi Sugiyama
    ,
    Yang Liu
  5. Select Before Use: On the Importance of Reference Model Selection in Preference Alignment
    ACL 2026 ·
    Muyang Li
    ,
    Runze Wu
    ,
    Xiangyu Zhao
    ,
    Bo Han
    ,
    Daoyi Dong
    , Tongliang Liu
  6. A Lens into Interpretable Transformer Mistakes via Semantic Dependency
    ICML 2025 ·
    Ruo-Jing Dong
    ,
    Yu Yao
    ,
    Bo Han
    , Tongliang Liu
  7. A Robust Method to Discover Causal or Anticausal Relation
    ICLR 2025 ·
    Yu Yao
    ,
    Yang Zhou
    ,
    Bo Han
    ,
    Mingming Gong
    ,
    Kun Zhang
    , Tongliang Liu
  8. A Sample Efficient Conditional Independence Test in the Presence of Discretization
    ICML 2025 ·
    Boyang Sun
    ,
    Yu Yao
    ,
    Xinshuai Dong
    ,
    Zongfang Liu
    , Tongliang Liu,
    Yumou Qiu
    ,
    Kun Zhang
  9. AgentAuditor: Human-level Safety and Security Evaluation for LLM Agents
    NeurIPS 2025 ·
    Hanjun Luo
    ,
    Shenyu Dai
    ,
    Chiming Ni
    ,
    Xinfeng Li
    ,
    Guibin Zhang
    ,
    Kun Wang
    , Tongliang Liu,
    Hanan Salam
  10. Aligning What Matters: Masked Latent Adaptation for Text-to-Audio-Video Generation
    NeurIPS 2025 ·
    Jiyang Zheng
    ,
    Siqi Pan
    ,
    Yu Yao
    ,
    Zhaoqing Wang
    ,
    Dadong Wang
    , Tongliang Liu
  11. Can Dependencies Induced by LLM-Agent Workflows Be Trusted?
    NeurIPS 2025 ·
    Yu Yao
    ,
    Yiliao Song
    ,
    Yian Xie
    ,
    Mengdan Fan
    ,
    Mingyu Guo
    , Tongliang Liu
  12. Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models
    ICLR 2025 ·
    Jiyang Zheng
    ,
    Jialiang Shen
    ,
    Yu Yao
    ,
    Min Wang
    ,
    Yang Yang
    ,
    Dadong Wang
    , Tongliang Liu
  13. Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning
    NeurIPS 2025 ·
    Xueqi Ma
    ,
    Jun Wang
    ,
    Yanbei Jiang
    ,
    Sarah M. Erfani
    , Tongliang Liu,
    James Bailey
  14. DEEM: Diffusion models serve as the eyes of large language models for image perception
    ICLR 2025 ·
    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
  15. Efficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations
    ICLR 2025 ·
    Xiu-Chuan Li
    , Tongliang Liu
  16. Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples
    NeurIPS 2025 ·
    Suqin Yuan
    ,
    Lei Feng
    ,
    Bo Han
    , Tongliang Liu
  17. Epistemic Uncertainty for Generated Image Detection
    NeurIPS 2025 ·
    Jun Nie
    ,
    Yonggang Zhang
    , Tongliang Liu,
    Yiu-ming Cheung
    ,
    Bo Han
    ,
    Xinmei Tian
  18. Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning
    ICML 2025 ·
    Puning Yang
    ,
    Qizhou Wang
    ,
    Zhuo Huang
    , Tongliang Liu,
    Chengqi Zhang
    ,
    Bo Han
  19. Flow: Modularized Agentic Workflow Automation
    ICLR 2025 ·
    Boye Niu
    ,
    Yiliao Song
    ,
    Kai Lian
    ,
    Yifan Shen
    ,
    Yu Yao
    ,
    Kun Zhang
    , Tongliang Liu
  20. From Debate to Equilibrium: Belief‑Driven Multi‑Agent LLM Reasoning via Bayesian Nash Equilibrium
    ICML 2025 ·
    Xie Yi
    ,
    Zhanke Zhou
    ,
    Chentao Cao
    ,
    Qiyu Niu
    , Tongliang Liu,
    Bo Han
  21. Generative Model Inversion Through the Lens of the Manifold Hypothesis
    NeurIPS 2025 ·
    Xiong Peng
    ,
    Bo Han
    ,
    Fengfei Yu
    , Tongliang Liu,
    Feng Liu
    ,
    Mingyuan Zhou
  22. Instance-dependent Early Stopping
    ICLR 2025 ·
    Suqin Yuan
    ,
    Runqi Lin
    ,
    Lei Feng
    ,
    Bo Han
    , Tongliang Liu
  23. Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising
    CVPR 2025 ·
    Yongli Xiang
    ,
    Ziming Hong
    ,
    Lina Yao
    ,
    Dadong Wang
    , Tongliang Liu
  24. LaVin-DiT: Large Vision Diffusion Transformer
    CVPR 2025 ·
    Zhaoqing Wang
    ,
    Xiaobo Xia
    ,
    Runnan Chen
    ,
    Dongdong Yu
    ,
    Changhu Wang
    ,
    Mingming Gong
    , Tongliang Liu
  25. Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
    IJCAI 2025 ·
    Zhiqiang Kou
    ,
    Si Qin
    ,
    Hailin Wang
    ,
    Jing Wang
    ,
    Ming-Kun Xie
    ,
    Shuo Chen
    ,
    Yuheng Jia
    , Tongliang Liu,
    Masashi Sugiyama
    ,
    Xin Geng
  26. Learning Graph Invariance by Harnessing Spuriosity
    ICLR 2025 ·
    Tianjun Yao
    ,
    Yongqiang Chen
    ,
    Kai Hu
    , Tongliang Liu,
    Kun Zhang
    ,
    Zhiqiang Shen
  27. MFT-VITON: High-Fidelity Virtual Try-On with Minimal Input via a Mask-Free Transformer-Diffusion Model
    ICCV 2025 ·
    Zhenchen Wan
    ,
    Yanwu Xu
    ,
    Dongting Hu
    ,
    Weilun Cheng
    ,
    Tianxi Chen
    ,
    Zhaoqing Wang
    ,
    Feng Liu
    , Tongliang Liu,
    Mingming Gong
  28. MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation
    NeurIPS 2025 ·
    Jiaxin Huang
    ,
    Runnan Chen
    ,
    Ziwen Li
    ,
    Zhengqing Gao
    ,
    Xiao He
    ,
    Yandong Guo
    ,
    Mingming Gong
    , Tongliang Liu
  29. Noisy Test-Time Adaptation in Vision-Language Models
    ICLR 2025 ·
    Chentao Cao
    ,
    Zhun Zhong
    ,
    Zhanke Zhou
    , Tongliang Liu,
    Yang Liu
    ,
    Kun Zhang
    ,
    Bo Han
  30. OpenInsGaussian: Open-Vocabulary Instance Gaussian Segmentation with Context-Aware Cross-View Fusion
    ICCV 2025 ·
    Tianyu Huang
    ,
    Runnan Chen
    ,
    Dongting Hu
    ,
    Fengming Huang
    ,
    Mingming Gong
    , Tongliang Liu
  31. Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection
    AAAI 2025 ·
    Zhipeng Zou
    ,
    Sheng Wan
    ,
    Guangyu Li
    ,
    Bo Han
    , Tongliang Liu,
    Lin Zhao
    ,
    Chen Gong
  32. Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
    NeurIPS 2025 ·
    Tianjun Yao
    ,
    Haoxuan Li
    ,
    Yongqiang Chen
    , Tongliang Liu,
    Le Song
    ,
    Eric P. Xing
    ,
    Zhiqiang Shen
  33. RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels
    NeurIPS 2025 ·
    Zhiqiang Kou
    ,
    Yucheng Xie
    ,
    Hailin Wang
    ,
    Junyang Chen
    ,
    Jing Wang
    ,
    Ming-Kun Xie
    ,
    Shuo Chen
    ,
    Yuheng Jia
    , Tongliang Liu,
    Xin Geng
  34. Ranked from Within: Ranking Large Multimodal Models Without Labels
    ICML 2025 ·
    Weijie Tu
    ,
    Weijian Deng
    ,
    Dylan Campbell
    ,
    Yu Yao
    ,
    Jiyang Zheng
    ,
    Tom Gedeon
    , Tongliang Liu
  35. Recovery of Causal Graph Involving Latent Variables via Homologous Surrogates
    ICLR 2025 ·
    Xiu-Chuan Li
    ,
    Jun Wang
    , Tongliang Liu
  36. Revealing Multimodal Causality with Large Language Models
    NeurIPS 2025 ·
    Jin Li
    ,
    Shoujin Wang
    ,
    Qi Zhang
    ,
    Feng Liu
    , Tongliang Liu,
    Longbing Cao
    ,
    Shui Yu
    ,
    Fang Chen
  37. Surprise3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes
    NeurIPS 2025 ·
    Jiaxin Huang
    ,
    Ziwen Li
    ,
    Hanlue Zhang
    ,
    Runnan Chen
    ,
    Zhengqing Gao
    ,
    Xiao He
    ,
    Yandong Guo
    ,
    Wenping Wang
    , Tongliang Liu,
    Mingming Gong
  38. Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models
    ICML 2025 ·
    Liangchen Liu
    ,
    Nannan Wang
    ,
    Xi Yang
    ,
    Xinbo Gao
    , Tongliang Liu
  39. Toward Robust Non-Transferable Learning: A Survey and Benchmark
    IJCAI 2025 ·
    Ziming Hong
    ,
    Yongli Xiang
    , Tongliang Liu
  40. Towards Effective Evaluations and Comparisons for LLM Unlearning Methods
    ICLR 2025 ·
    Qizhou Wang
    ,
    Bo Han
    ,
    Puning Yang
    ,
    Jianing Zhu
    , Tongliang Liu,
    Masashi Sugiyama
  41. Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
    ICLR 2025 ·
    Zhuo Huang
    ,
    Gang Niu
    ,
    Bo Han
    ,
    Masashi Sugiyama
    , Tongliang Liu
  42. Understanding and Enhancing the Transferability of Jailbreaking Attacks
    ICLR 2025 ·
    Runqi Lin
    ,
    Bo Han
    ,
    Fengwang Li
    , Tongliang Liu
  43. When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need
    ICML 2025 ·
    Ziming Hong
    ,
    Runnan Chen
    ,
    Zengmao Wang
    ,
    Bo Han
    ,
    Bo Du
    , Tongliang Liu
  44. Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions
    ICLR 2024 ·
    Xiu-Chuan Li
    ,
    Kun Zhang
    , Tongliang Liu
  45. Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization
    NeurIPS 2024 ·
    Hongling Zheng
    ,
    Li Shen
    ,
    Yong Luo
    , Tongliang Liu,
    Jialie Shen
    ,
    Dacheng Tao
  46. Discovery of the Hidden World with Large Language Models
    NeurIPS 2024 ·
    Chenxi Liu
    ,
    Yongqiang Chen
    , Tongliang Liu,
    Mingming Gong
    ,
    James Cheng
    ,
    Bo Han
    ,
    Kun Zhang
  47. E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning
    AAAI 2024 ·
    Qiang Qu
    ,
    Yiran Shen
    ,
    Xiaoming Chen
    ,
    Yuk Ying Chung
    , Tongliang Liu
  48. ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance
    CIKM 2024 ·
    Ling-Hao Chen
    ,
    Yuanshuo Zhang
    ,
    Taohua Huang
    ,
    Liangcai Su
    ,
    Zeyi Lin
    ,
    Xi Xiao
    ,
    Xiaobo Xia
    , Tongliang Liu
  49. Early Stopping Against Label Noise Without Validation Data
    ICLR 2024 ·
    Suqin Yuan
    ,
    Lei Feng
    , Tongliang Liu
  50. Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning
    CVPR 2024 ·
    Wei Zhang
    ,
    Chaoqun Wan
    , Tongliang Liu,
    Xinmei Tian
    ,
    Xu Shen
    ,
    Jieping Ye
  51. Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
    ICLR 2024 ·
    Jiyang Zheng
    ,
    Yu Yao
    ,
    Bo Han
    ,
    Dadong Wang
    , Tongliang Liu
  52. Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
    ICLR 2024 ·
    Rong Dai
    ,
    Yonggang Zhang
    ,
    Ang Li
    , Tongliang Liu,
    Xun Yang
    ,
    Bo Han
  53. Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
    ICML 2024 ·
    Chentao Cao
    ,
    Zhun Zhong
    ,
    Zhanke Zhou
    ,
    Yang Liu
    , Tongliang Liu,
    Bo Han
  54. Exploring Channel-Aware Typical Features for Out-of-Distribution Detection
    AAAI 2024 ·
    Rundong He
    ,
    Yue Yuan
    ,
    Zhongyi Han
    ,
    Fan Wang
    ,
    Wan Su
    ,
    Yilong Yin
    , Tongliang Liu,
    Yongshun Gong
  55. FedImpro: Measuring and Improving Client Update in Federated Learning
    ICLR 2024 ·
    Zhenheng Tang
    ,
    Yonggang Zhang
    ,
    Shaohuai Shi
    ,
    Xinmei Tian
    , Tongliang Liu,
    Bo Han
    ,
    Xiaowen Chu
  56. Federated Causal Discovery from Heterogeneous Data
    ICLR 2024 ·
    Loka Li
    ,
    Ignavier Ng
    ,
    Gongxu Luo
    ,
    Biwei Huang
    ,
    Guangyi Chen
    , Tongliang Liu,
    Bin Gu
    ,
    Kun Zhang
  57. Few-Shot Adversarial Prompt Learning on Vision-Language Models
    NeurIPS 2024 ·
    Yiwei Zhou
    ,
    Xiaobo Xia
    ,
    Zhiwei Lin
    ,
    Bo Han
    , Tongliang Liu
  58. IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
    ICLR 2024 ·
    Shaokun Zhang
    ,
    Xiaobo Xia
    ,
    Zhaoqing Wang
    ,
    Ling-Hao Chen
    ,
    Jiale Liu
    ,
    Qingyun Wu
    , Tongliang Liu
  59. Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
    ICML 2024 ·
    Jiacheng Zhang
    ,
    Feng Liu
    ,
    Dawei Zhou
    ,
    Jingfeng Zhang
    , Tongliang Liu
  60. Improving Non-Transferable Representation Learning by Harnessing Content and Style
    ICLR 2024 ·
    Ziming Hong
    ,
    Zhenyi Wang
    ,
    Li Shen
    ,
    Yu Yao
    ,
    Zhuo Huang
    ,
    Shiming Chen
    ,
    Chuanwu Yang
    ,
    Mingming Gong
    , Tongliang Liu
  61. In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment
    NeurIPS 2024 ·
    Dongting Hu
    ,
    Huan Fu
    ,
    Jiaxian Guo
    ,
    Liuhua Peng
    ,
    Tingjin Chu
    ,
    Feng Liu
    , Tongliang Liu,
    Mingming Gong
  62. Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency
    ICML 2024 ·
    Runqi Lin
    ,
    Chaojian Yu
    ,
    Bo Han
    ,
    Hang Su
    , Tongliang Liu
  63. Learning the Latent Causal Structure for Modeling Label Noise
    NeurIPS 2024 ·
    Yexiong Lin
    ,
    Yu Yao
    , Tongliang Liu
  64. MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
    ICML 2024 ·
    Hongduan Tian
    ,
    Feng Liu
    , Tongliang Liu,
    Bo Du
    ,
    Yiu-ming Cheung
    ,
    Bo Han
  65. Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning
    ICML 2024 ·
    Zhuo Huang
    ,
    Chang Liu
    ,
    Yinpeng Dong
    ,
    Hang Su
    ,
    Shibao Zheng
    , Tongliang Liu
  66. Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
    NeurIPS 2024 ·
    Hongduan Tian
    ,
    Feng Liu
    ,
    Zhanke Zhou
    , Tongliang Liu,
    Chengqi Zhang
    ,
    Bo Han
  67. Mitigating Label Noise on Graphs via Topological Sample Selection
    ICML 2024 ·
    Yuhao Wu
    ,
    Jiangchao Yao
    ,
    Xiaobo Xia
    ,
    Jun Yu
    ,
    Ruxin Wang
    ,
    Bo Han
    , Tongliang Liu
  68. Negative Label Guided OOD Detection with Pretrained Vision-Language Models
    ICLR 2024 ·
    Xue Jiang
    ,
    Feng Liu
    ,
    Zhen Fang
    ,
    Hong Chen
    , Tongliang Liu,
    Feng Zheng
    ,
    Bo Han
  69. Neural Auto-designer for Enhanced Quantum Kernels
    ICLR 2024 ·
    Cong Lei
    ,
    Yuxuan Du
    ,
    Peng Mi
    ,
    Jun Yu
    , Tongliang Liu
  70. NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
    ICLR 2024 ·
    Pengfei Zheng
    ,
    Yonggang Zhang
    ,
    Zhen Fang
    , Tongliang Liu,
    Defu Lian
    ,
    Bo Han
  71. NoiseGPT: Label Noise Detection and Rectification through Probability Curvature
    NeurIPS 2024 ·
    Haoyu Wang
    ,
    Zhuo Huang
    ,
    Zhiwei Lin
    , Tongliang Liu
  72. On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
    ICLR 2024 ·
    Runqi Lin
    ,
    Chaojian Yu
    ,
    Bo Han
    , Tongliang Liu
  73. One-Shot Learning as Instruction Data Prospector for Large Language Models
    ACL 2024 ·
    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
  74. Optimal Kernel Choice for Score Function-based Causal Discovery
    ICML 2024 ·
    Wenjie Wang
    ,
    Biwei Huang
    ,
    Feng Liu
    ,
    Xinge You
    , Tongliang Liu,
    Kun Zhang
    ,
    Mingming Gong
  75. Out-of-Distribution Detection with Negative Prompts
    ICLR 2024 ·
    Jun Nie
    ,
    Yonggang Zhang
    ,
    Zhen Fang
    , Tongliang Liu,
    Bo Han
    ,
    Xinmei Tian
  76. Pseudo-Private Data Guided Model Inversion Attacks
    NeurIPS 2024 ·
    Xiong Peng
    ,
    Bo Han
    ,
    Feng Liu
    , Tongliang Liu,
    Mingyuan Zhou
  77. Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
    ICML 2024 ·
    Xiaobo Xia
    ,
    Jiale Liu
    ,
    Shaokun Zhang
    ,
    Qingyun Wu
    ,
    Hongxin Wei
    , Tongliang Liu
  78. Robust Training of Federated Models with Extremely Label Deficiency
    ICLR 2024 ·
    Yonggang Zhang
    ,
    Zhiqin Yang
    ,
    Xinmei Tian
    ,
    Nannan Wang
    , Tongliang Liu,
    Bo Han
  79. Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning
    ICML 2024 ·
    Yusong Hu
    ,
    De Cheng
    ,
    Dingwen Zhang
    ,
    Nannan Wang
    , Tongliang Liu,
    Xinbo Gao
  80. Towards Realistic Model Selection for Semi-supervised Learning
    ICML 2024 ·
    Muyang Li
    ,
    Xiaobo Xia
    ,
    Runze Wu
    ,
    Fengming Huang
    ,
    Jun Yu
    ,
    Bo Han
    , Tongliang Liu
  81. Training A Secure Model Against Data-Free Model Extraction
    ECCV 2024 ·
    Zhenyi Wang
    ,
    Li Shen
    ,
    Junfeng Guo
    ,
    Tiehang Duan
    ,
    Siyu Luan
    , Tongliang Liu,
    Mingchen Gao
  82. Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
    ICML 2024 ·
    Yuhao Wu
    ,
    Jiangchao Yao
    ,
    Bo Han
    ,
    Lina Yao
    , Tongliang Liu
  83. Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?
    NeurIPS 2024 ·
    Haoang Chi
    ,
    He Li
    ,
    Wenjing Yang
    ,
    Feng Liu
    ,
    Long Lan
    ,
    Xiaoguang Ren
    , Tongliang Liu,
    Bo Han
  84. What If the Input is Expanded in OOD Detection?
    NeurIPS 2024 ·
    Boxuan Zhang
    ,
    Jianing Zhu
    ,
    Zengmao Wang
    , Tongliang Liu,
    Bo Du
    ,
    Bo Han
  85. Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning
    CVPR 2024 ·
    Ziming Hong
    ,
    Li Shen
    , Tongliang Liu