Junchi Yu

35 papers A* 9Journal 25Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Fragile Guardrail: Diffusion LLM's Safety Blessing and Its Failure Mode.
CoRR
Zeyuan He, Yupeng Chen, Lang Lin, Yihan Wang, Shenxu Chang, Eric Sommerlade, Philip Torr, Junchi Yu, Adel Bibi, Jialin Yu
2026 A* conf
ARCHE: A Novel Task to Evaluate LLMs on Latent Reasoning Chain Extraction.
AAAI
Pengze Li, Jiaqi Liu, Junchi Yu, Lihao Liu, Mingyu Ding, Wanli Ouyang, Shixiang Tang, Xi Chen
2026 A* conf
Deep Research Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks.
AAAI
Haiyuan Wan, Chen Yang, Junchi Yu, Meiqi Tu, Jiaxuan Lu, Di Yu, Jianbao Cao, Ben Gao, Jiaqing Xie, Aoran Wang, Wenlong Zhang, Philip Torr, Dongzhan Zhou
2026 J jnl
TDGNet: Hallucination Detection in Diffusion Language Models via Temporal Dynamic Graphs.
CoRR
Arshia Hemmat, Philip Torr, Yongqiang Chen, Junchi Yu
2026 J jnl
The Alignment Curse: Cross-Modality Jailbreak Transfer in Omni-Models.
CoRR
Yupeng Chen, Junchi Yu, Aoxi Liu, Philip Torr, Adel Bibi
2025 J jnl
ARCHE: A Novel Task to Evaluate LLMs on Latent Reasoning Chain Extraction.
CoRR
Pengze Li, Jiaqi Liu, Junchi Yu, Lihao Liu, Mingyu Ding, Wanli Ouyang, Shixiang Tang, Xi Chen
2025 J jnl
Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?
CoRR
Junchi Yu, Yujie Liu, Jindong Gu, Philip Torr, Dongzhan Zhou
2025 J jnl
DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks.
CoRR
Haiyuan Wan, Chen Yang, Junchi Yu, Meiqi Tu, Jiaxuan Lu, Di Yu, Jianbao Cao, Ben Gao, Jiaqing Xie, Aoran Wang, Wenlong Zhang, Philip Torr, Dongzhan Zhou
2025 J jnl
From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning.
CoRR
Cheng Yang, Jiaxuan Lu, Haiyuan Wan, Junchi Yu, Feiwei Qin
2025 J jnl
Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks.
CoRR
Cheng Yang, Haiyuan Wan, Yiran Peng, Xin Chen, Zhaoyang Yu, Jiayi Zhang, Junchi Yu, Xinlei Yu, Xiawu Zheng, Dongzhan Zhou, Chenglin Wu
2025 J jnl
TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models.
CoRR
Shenxu Chang, Junchi Yu, Weixing Wang, Yongqiang Chen, Jialin Yu, Philip Torr, Jindong Gu
2024 J jnl
Recognizing Predictive Substructures With Subgraph Information Bottleneck.
IEEE Trans. Pattern Anal. Mach. Intell.
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
2024 A* conf
Thought Propagation: an Analogical Approach to Complex Reasoning with Large Language Models.
ICLR
Junchi Yu, Ran He, Zhitao Ying
2023 J jnl
Generative Explanation for Graph Neural Network: Methods and Evaluation.
IEEE Data Eng. Bull.
Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying
2023 J jnl
Generative Explanations for Graph Neural Network: Methods and Evaluations.
CoRR
Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying
2023 A* conf
Mind the Label Shift of Augmentation-based Graph OOD Generalization.
CVPR
Junchi Yu, Jian Liang, Ran He
2023 J jnl
Mind the Label Shift of Augmentation-based Graph OOD Generalization.
CoRR
Junchi Yu, Jian Liang, Ran He
2023 A* conf
Rumor Detection with Diverse Counterfactual Evidence.
KDD
Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiaoyu Zhang
2023 J jnl
Rumor Detection with Diverse Counterfactual Evidence.
CoRR
Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiaoyu Zhang
2023 J jnl
ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Jie Cao, Mandi Luo, Junchi Yu, Ming-Hsuan Yang, Ran He
2023 J jnl
Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models.
CoRR
Junchi Yu, Ran He, Rex Ying
2022 J jnl
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.
CoRR
Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao
2022 J jnl
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization.
CoRR
Junchi Yu, Jian Liang, Ran He
2022 A* conf
Improving Subgraph Recognition with Variational Graph Information Bottleneck.
CVPR
Junchi Yu, Jie Cao, Ran He
2022 J jnl
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data.
CoRR
Jie Cao, Mandi Luo, Junchi Yu, Ming-Hsuan Yang, Ran He
2022 J jnl
Structure-aware conditional variational auto-encoder for constrained molecule optimization.
Pattern Recognit.
Junchi Yu, Tingyang Xu, Yu Rong, Junzhou Huang, Ran He
2022 A* conf
Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.
KDD
Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang
2021 A* conf
Graph Information Bottleneck for Subgraph Recognition.
ICLR
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
2021 J jnl
Improving Subgraph Recognition with Variational Graph Information Bottleneck.
CoRR
Junchi Yu, Jie Cao, Ran He
2021 J jnl
Recognizing Predictive Substructures with Subgraph Information Bottleneck.
CoRR
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
2021 J jnl
Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows.
CoRR
Junchi Yu, Tingyang Xu, Ran He
2020 J jnl
Cosmetic-Aware Makeup Cleanser.
CoRR
Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan
2020 J jnl
Graph Information Bottleneck for Subgraph Recognition.
CoRR
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
2019 A* conf
Pose-preserving Cross Spectral Face Hallucination.
IJCAI
Junchi Yu, Jie Cao, Yi Li, Xiaofei Jia, Ran He
2019 — conf
Semantic-Aware Makeup Cleanser.
BTAS
Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan