Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning. - Yu Yao 005; Tongliang Liu; Bo Han 003; Mingming Gong; Jiankang Deng; Gang Niu 001; Masashi Sugiyama (NeurIPS, 2020)

Towards Mixture Proportion Estimation without Irreducibility. - Yu Yao 005; Tongliang Liu; Bo Han 003; Mingming Gong; Gang Niu 001; Masashi Sugiyama; Dacheng Tao (CoRR, 2020)

Instance-dependent Label-noise Learning under a Structural Causal Model. - Yu Yao 005; Tongliang Liu; Mingming Gong; Bo Han 003; Gang Niu 001; Kun Zhang 001 (NeurIPS, 2021)

Rethinking Class-Prior Estimation for Positive-Unlabeled Learning. - Yu Yao 005; Tongliang Liu; Bo Han 003; Mingming Gong; Gang Niu 001; Masashi Sugiyama; Dacheng Tao (ICLR, 2022)

Do We Need to Penalize Variance of Losses for Learning with Label Noise? - Yexiong Lin; Yu Yao 005; Yuxuan Du; Jun Yu 001; Bo Han 003; Mingming Gong; Tongliang Liu (CoRR, 2022)

Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise? - Yu Yao 005; Mingming Gong; Yuxuan Du; Jun Yu 001; Bo Han 003; Kun Zhang 001; Tongliang Liu (ICML, 2023)

PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions. - Wenjie Xuan; Shanshan Zhao 001; Yu Yao 005; Juhua Liu; Tongliang Liu; Yixin Chen 001; Bo Du 001; Dacheng Tao (ACM Multimedia, 2023)

CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation. - Yexiong Lin; Yu Yao 005; Xiaolong Shi; Mingming Gong; Xu Shen 001; Dong Xu 001; Tongliang Liu (NeurIPS, 2023)

Understanding How Pretraining Regularizes Deep Learning Algorithms. - Yu Yao 005; Baosheng Yu; Chen Gong 002; Tongliang Liu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos. - Lianyang Ma; Yu Yao 005; Tao Liang; Tongliang Liu (AI (2), 2024)

Trustworthy and Responsible AI for Information and Knowledge Management System. - Huaming Chen; Jun Zhuang; Yu Yao 005; Wei Jin 009; Haohan Wang; Yong Xie 002; Chi-Hung Chi; Kim-Kwang Raymond Choo (CIKM, 2024)

Improving Non-Transferable Representation Learning by Harnessing Content and Style. - Ziming Hong; Zhenyi Wang 001; Li Shen 008; Yu Yao 005; Zhuo Huang; Shiming Chen 002; Chuanwu Yang; Mingming Gong; Tongliang Liu (ICLR, 2024)

Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation. - Jiyang Zheng; Yu Yao 005; Bo Han 003; Dadong Wang; Tongliang Liu (ICLR, 2024)

Learning the Latent Causal Structure for Modeling Label Noise. - Yexiong Lin; Yu Yao 005; Tongliang Liu (NeurIPS, 2024)

Identifying Latent State-Transition Processes for Individualized Reinforcement Learning. - Yuewen Sun; Biwei Huang; Yu Yao 005; Donghuo Zeng; Xinshuai Dong; Songyao Jin; Boyang Sun; Roberto Legaspi; Kazushi Ikeda; Peter Spirtes; Kun Zhang 001 (NeurIPS, 2024)

Ranked from Within: Ranking Large Multimodal Models for Visual Question Answering Without Labels. - Weijie Tu; Weijian Deng; Dylan Campbell; Yu Yao 005; Jiyang Zheng; Tom Gedeon; Tongliang Liu (CoRR, 2024)

ProtoSimi: label correction for fine-grained visual categorization. - Jialiang Shen; Yu Yao 005; Shaoli Huang; Zhiyong Wang 001; Jing Zhang 037; Ruxing Wang; Jun Yu 001; Tongliang Liu (Mach. Learn., 2024)

SmartCLIP: Modular Vision-language Alignment with Identification Guarantees. - Shaoan Xie; Lingjing; Yujia Zheng 001; Yu Yao 005; Zeyu Tang 002; Eric P. Xing; Guangyi Chen 002; Kun Zhang 001 (CVPR, 2025)

Flow: Modularized Agentic Workflow Automation. - Boye Niu; Yiliao Song; Kai Lian; Yifan Shen 004; Yu Yao 005; Kun Zhang 001; Tongliang Liu (ICLR, 2025)

A Robust Method to Discover Causal or Anticausal Relation. - Yu Yao 005; Yang Zhou; Bo Han 003; Mingming Gong; Kun Zhang 001; Tongliang Liu (ICLR, 2025)

Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models. - Jiyang Zheng; Jialiang Shen; Yu Yao 005; Min Wang; Yang Yang; Dadong Wang; Tongliang Liu (ICLR, 2025)

Flow: A Modular Approach to Automated Agentic Workflow Generation. - Boye Niu; Yiliao Song; Kai Lian; Yifan Shen 004; Yu Yao 005; Kun Zhang 001; Tongliang Liu (CoRR, 2025)

Beyond Optimal Transport: Model-Aligned Coupling for Flow Matching. - Yexiong Lin; Yu Yao 005; Tongliang Liu (CoRR, 2025)

A Sample Efficient Conditional Independence Test in the Presence of Discretization. - Boyang Sun; Yu Yao 005; Xinshuai Dong; Zongfang Liu; Tongliang Liu; Yumou Qiu; Kun Zhang 001 (CoRR, 2025)

SmartCLIP: Modular Vision-language Alignment with Identification Guarantees. - Shaoan Xie; Lingjing Kong; Yujia Zheng 001; Yu Yao 005; Zeyu Tang 002; Eric P. Xing; Guangyi Chen 002; Kun Zhang 001 (CoRR, 2025)