Yu Yao

37 papers A* 17A 1Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Storage to Steering: Memory Control Flow Attacks on LLM Agents.
CoRR
Zhenlin Xu, Xiaogang Zhu, Yu Yao, Minhui Xue, Yiliao Song
2026 J jnl
HUGE-Bench: A Benchmark for High-Level UAV Vision-Language-Action Tasks.
CoRR
Jingyu Guo, Ziye Chen, Ziwen Li, Zhengqing Gao, Jiaxin Huang, Hanlue Zhang, Fengming Huang, Yu Yao, Tongliang Liu, Mingming Gong
2026 J jnl
i-PhysGaussian: Implicit Physical Simulation for 3D Gaussian Splatting.
CoRR
Yicheng Cao, Zhuo Huang, Yu Yao, Yiming Ying, Daoyi Dong, Tongliang Liu
2025 A* conf
A Lens into Interpretable Transformer Mistakes via Semantic Dependency.
ICML
Ruo-Jing Dong, Yu Yao, Bo Han, Tongliang Liu
2025 A* conf
A Robust Method to Discover Causal or Anticausal Relation.
ICLR
Yu Yao, Yang Zhou, Bo Han, Mingming Gong, Kun Zhang, Tongliang Liu
2025 A* conf
A Sample Efficient Conditional Independence Test in the Presence of Discretization.
ICML
Boyang Sun, Yu Yao, Xinshuai Dong, Zongfang Liu, Tongliang Liu, Yumou Qiu, Kun Zhang
2025 J jnl
A Sample Efficient Conditional Independence Test in the Presence of Discretization.
CoRR
Boyang Sun, Yu Yao, Xinshuai Dong, Zongfang Liu, Tongliang Liu, Yumou Qiu, Kun Zhang
2025 J jnl
Beyond Optimal Transport: Model-Aligned Coupling for Flow Matching.
CoRR
Yexiong Lin, Yu Yao, Tongliang Liu
2025 A* conf
Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models.
ICLR
Jiyang Zheng, Jialiang Shen, Yu Yao, Min Wang, Yang Yang, Dadong Wang, Tongliang Liu
2025 J jnl
DINO-Detect: A Simple yet Effective Framework for Blur-Robust AI-Generated Image Detection.
CoRR
Jialiang Shen, Jiyang Zheng, Yunqi Xue, Huajie Chen, Yu Yao, Hui Kang, Ruiqi Liu, Helin Gong, Yang Yang, Dadong Wang, Tongliang Liu
2025 J jnl
Flow: A Modular Approach to Automated Agentic Workflow Generation.
CoRR
Boye Niu, Yiliao Song, Kai Lian, Yifan Shen, Yu Yao, Kun Zhang, Tongliang Liu
2025 A* conf
Flow: Modularized Agentic Workflow Automation.
ICLR
Boye Niu, Yiliao Song, Kai Lian, Yifan Shen, Yu Yao, Kun Zhang, Tongliang Liu
2025 J jnl
Improving the Instance-Dependent Transition Matrix Estimation by Exploiting Self-Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Yexiong Lin, Yu Yao, Zhaoqing Wang, Xu Shen, Jun Yu, Bo Han, Tongliang Liu
2025 A* conf
Ranked from Within: Ranking Large Multimodal Models Without Labels.
ICML
Weijie Tu, Weijian Deng, Dylan Campbell, Yu Yao, Jiyang Zheng, Tom Gedeon, Tongliang Liu
2025 A* conf
SmartCLIP: Modular Vision-language Alignment with Identification Guarantees.
CVPR
Shaoan Xie, Lingjing, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang
2025 J jnl
SmartCLIP: Modular Vision-language Alignment with Identification Guarantees.
CoRR
Shaoan Xie, Lingjing Kong, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang
2024 A* conf
Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation.
ICLR
Jiyang Zheng, Yu Yao, Bo Han, Dadong Wang, Tongliang Liu
2024 A* conf
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning.
NeurIPS
Yuewen Sun, Biwei Huang, Yu Yao, Donghuo Zeng, Xinshuai Dong, Songyao Jin, Boyang Sun, Roberto Legaspi, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2024 A* conf
Improving Non-Transferable Representation Learning by Harnessing Content and Style.
ICLR
Ziming Hong, Zhenyi Wang, Li Shen, Yu Yao, Zhuo Huang, Shiming Chen, Chuanwu Yang, Mingming Gong, Tongliang Liu
2024 A* conf
Learning the Latent Causal Structure for Modeling Label Noise.
NeurIPS
Yexiong Lin, Yu Yao, Tongliang Liu
2024 — conf
Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos.
AI (2)
Lianyang Ma, Yu Yao, Tao Liang, Tongliang Liu
2024 J jnl
ProtoSimi: label correction for fine-grained visual categorization.
Mach. Learn.
Jialiang Shen, Yu Yao, Shaoli Huang, Zhiyong Wang, Jing Zhang, Ruxing Wang, Jun Yu, Tongliang Liu
2024 J jnl
Ranked from Within: Ranking Large Multimodal Models for Visual Question Answering Without Labels.
CoRR
Weijie Tu, Weijian Deng, Dylan Campbell, Yu Yao, Jiyang Zheng, Tom Gedeon, Tongliang Liu
2024 A conf
Trustworthy and Responsible AI for Information and Knowledge Management System.
CIKM
Huaming Chen, Jun Zhuang, Yu Yao, Wei Jin, Haohan Wang, Yong Xie, Chi-Hung Chi, Kim-Kwang Raymond Choo
2023 A* conf
CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation.
NeurIPS
Yexiong Lin, Yu Yao, Xiaolong Shi, Mingming Gong, Xu Shen, Dong Xu, Tongliang Liu
2023 A* conf
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions.
ACM Multimedia
Wenjie Xuan, Shanshan Zhao, Yu Yao, Juhua Liu, Tongliang Liu, Yixin Chen, Bo Du, Dacheng Tao
2023 J jnl
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions.
CoRR
Wenjie Xuan, Shanshan Zhao, Yu Yao, Juhua Liu, Tongliang Liu, Yixin Chen, Bo Du, Dacheng Tao
2023 J jnl
Understanding How Pretraining Regularizes Deep Learning Algorithms.
IEEE Trans. Neural Networks Learn. Syst.
Yu Yao, Baosheng Yu, Chen Gong, Tongliang Liu
2023 A* conf
Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?
ICML
Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, Tongliang Liu
2022 J jnl
Do We Need to Penalize Variance of Losses for Learning with Label Noise?
CoRR
Yexiong Lin, Yu Yao, Yuxuan Du, Jun Yu, Bo Han, Mingming Gong, Tongliang Liu
2022 J jnl
Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos.
CoRR
Lianyang Ma, Yu Yao, Tao Liang, Tongliang Liu
2022 A* conf
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning.
ICLR
Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao
2021 A* conf
Instance-dependent Label-noise Learning under a Structural Causal Model.
NeurIPS
Yu Yao, Tongliang Liu, Mingming Gong, Bo Han, Gang Niu, Kun Zhang
2021 J jnl
Instance-dependent Label-noise Learning under a Structural Causal Model.
CoRR
Yu Yao, Tongliang Liu, Mingming Gong, Bo Han, Gang Niu, Kun Zhang
2020 A* conf
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning.
NeurIPS
Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Jiankang Deng, Gang Niu, Masashi Sugiyama
2020 J jnl
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning.
CoRR
Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Jiankang Deng, Gang Niu, Masashi Sugiyama
2020 J jnl
Towards Mixture Proportion Estimation without Irreducibility.
CoRR
Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao