Yujun Yan - RankMe

50 papers A* 12A 2Journal 27Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs. CoRR Xinyue Zeng, Junhong Lin, Yujun Yan, Feng Guo, Liang Shi, Jun Wu, Dawei Zhou
2026	J	`jnl`	Low-Rank Plus Sparse Matrix Transfer Learning under Growing Representations and Ambient Dimensions. CoRR Jinhang Chai, Xuyuan Liu, Elynn Chen, Yujun Yan
2026	J	`jnl`	Optimistic Transfer under Task Shift via Bellman Alignment. CoRR Jinhang Chai, Enpei Zhang, Elynn Chen, Yujun Yan
2025	—	`conf`	GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models. EMNLP (Findings) Tuo Wang, Adithya Kulkarni, Tyler Cody, Peter A. Beling, Yujun Yan, Dawei Zhou
2025	J	`jnl`	GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models. CoRR Tuo Wang, Adithya Kulkarni, Tyler Cody, Peter A. Beling, Yujun Yan, Dawei Zhou
2025	J	`jnl`	Judging with Many Minds: Do More Perspectives Mean Less Prejudice? CoRR Chiyu Ma, Enpei Zhang, Yilun Zhao, Wenjun Liu, Yaning Jia, Peijun Qing, Lin Shi, Arman Cohan, Yujun Yan, Soroush Vosoughi
2025	—	`conf`	Judging with Many Minds: Do More Perspectives Mean Less Prejudice? On Bias Amplification and Resistance in Multi-Agent Based LLM-as-Judge. EMNLP (Findings) Chiyu Ma, Enpei Zhang, Yilun Zhao, Wenjun Liu, Yaning Jia, Peijun Qing, Lin Shi, Arman Cohan, Yujun Yan, Soroush Vosoughi
2025	J	`jnl`	MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-Text Decoding. CoRR Weikang Qiu, Zheng Huang, Haoyu Hu, Aosong Feng, Yujun Yan, Rex Ying
2025	A*	`conf`	MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-text Decoding. ICML Weikang Qiu, Zheng Huang, Haoyu Hu, Aosong Feng, Yujun Yan, Rex Ying
2025	—	`conf`	Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks. KDD (2) Tuo Wang, Jian Kang, Yujun Yan, Adithya Kulkarni, Dawei Zhou
2025	J	`jnl`	Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks. CoRR Tuo Wang, Jian Kang, Yujun Yan, Adithya Kulkarni, Dawei Zhou
2025	J	`jnl`	Representation Interventions Enable Lifelong Unstructured Knowledge Control. CoRR Xuyuan Liu, Zhengzhang Chen, Xinshuai Dong, Yanchi Liu, Xujiang Zhao, Shengyu Chen, Haoyu Wang, Yujun Yan, Haifeng Chen
2025	J	`jnl`	Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI. CoRR Zheng Huang, Enpei Zhang, Yinghao Cai, Weikang Qiu, Carl Yang, Elynn Chen, Xiang Zhang, Rex Ying, Dawei Zhou, Yujun Yan
2025	—	`conf`	Spectral Insights into Data-Oblivious Critical Layers in Large Language Models. ACL (Findings) Xuyuan Liu, Lei Hsiung, Yaoqing Yang, Yujun Yan
2025	J	`jnl`	Spectral Insights into Data-Oblivious Critical Layers in Large Language Models. CoRR Xuyuan Liu, Lei Hsiung, Yaoqing Yang, Yujun Yan
2025	—	`conf`	Tackling Size Generalization of Graph Neural Networks on Biological Data from a Spectral Perspective. KDD (2) Gaotang Li, Danai Koutra, Yujun Yan
2025	—	`conf`	Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. WWW (Companion Volume) Lifu Huang, Danai Koutra, Adithya Kulkarni, Temiloluwa Prioleau, Qingyun Wu, Yujun Yan, Yaoqing Yang, James Zou, Dawei Zhou
2025	J	`jnl`	Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift. CoRR Yi Zhang, Elynn Chen, Yujun Yan
2024	A*	`conf`	Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning. ICML Zheng Huang, Qihui Yang, Dawei Zhou, Yujun Yan
2024	J	`jnl`	Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning. CoRR Zheng Huang, Qihui Yang, Dawei Zhou, Yujun Yan
2024	A*	`conf`	EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs. ICML Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou
2024	A*	`conf`	Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks. NeurIPS Xuyuan Liu, Yinghao Cai, Qihui Yang, Yujun Yan
2024	J	`jnl`	Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks. CoRR Xuyuan Liu, Yinghao Cai, Qihui Yang, Yujun Yan
2024	J	`jnl`	Firmware Vulnerability Detection Algorithm Based on Matching Pattern-Specific Numerical Features With Structural Features. IEEE Access Peng Liu, Yasu Cao, Yujun Yan, Yong Wang
2024	A	`conf`	GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs. CIKM Vipul Gupta, Xin Chen, Ruoyun Huang, Fanlong Meng, Jianjun Chen, Yujun Yan
2024	J	`jnl`	GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs. CoRR Vipul Gupta, Xin Chen, Ruoyun Huang, Fanlong Meng, Jianjun Chen, Yujun Yan
2024	J	`jnl`	How to evaluate your medical time series classification? CoRR Yihe Wang, Taida Li, Yujun Yan, Wenzhan Song, Xiang Zhang
2024	A*	`conf`	Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification. NeurIPS Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang
2024	J	`jnl`	Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification. CoRR Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang
2024	A*	`conf`	Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance. NeurIPS Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang
2024	J	`jnl`	Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance. CoRR Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang
2023	J	`jnl`	Heterophily and Graph Neural Networks: Past, Present and Future. IEEE Data Eng. Bull. Jiong Zhu, Yujun Yan, Mark Heimann, Lingxiao Zhao, Leman Akoglu, Danai Koutra
2023	A*	`conf`	Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. KDD Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan
2023	J	`jnl`	Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. CoRR Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan
2023	J	`jnl`	Size Generalizability of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective. CoRR Yujun Yan, Gaotang Li, Danai Koutra
2022	A*	`conf`	Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. WWW Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra
2022	—	`—`	Towards Generalizable Neural Networks for Graph Applications Yujun Yan
2022	A*	`conf`	Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks. ICDM Yujun Yan, Milad Hashemi, Kevin Swersky, Yaoqing Yang, Danai Koutra
2021	—	`conf`	A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks. 3DV Yefan Zhou, Yiru Shen, Yujun Yan, Chen Feng, Yaoqing Yang
2021	J	`jnl`	A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks. CoRR Yefan Zhou, Yiru Shen, Yujun Yan, Chen Feng, Yaoqing Yang
2021	J	`jnl`	Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. CoRR Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra
2021	—	`conf`	Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models. IEEE BigData Zhengming Zhang, Yaoqing Yang, Zhewei Yao, Yujun Yan, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney
2021	J	`jnl`	Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks. CoRR Yujun Yan, Milad Hashemi, Kevin Swersky, Yaoqing Yang, Danai Koutra
2020	J	`jnl`	Benchmarking Semi-supervised Federated Learning. CoRR Zhengming Zhang, Zhewei Yao, Yaoqing Yang, Yujun Yan, Joseph E. Gonzalez, Michael W. Mahoney
2020	A*	`conf`	Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs. NeurIPS Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra
2020	J	`jnl`	Generalizing Graph Neural Networks Beyond Homophily. CoRR Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra
2020	A*	`conf`	Neural Execution Engines: Learning to Execute Subroutines. NeurIPS Yujun Yan, Kevin Swersky, Danai Koutra, Parthasarathy Ranganathan, Milad Hashemi
2020	J	`jnl`	Neural Execution Engines: Learning to Execute Subroutines. CoRR Yujun Yan, Kevin Swersky, Danai Koutra, Parthasarathy Ranganathan, Milad Hashemi
2019	A*	`conf`	GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data. KDD Yujun Yan, Jiong Zhu, Marlena Duda, Eric Solarz, Chandra Sekhar Sripada, Danai Koutra
2018	A	`conf`	Fast Flow-based Random Walk with Restart in a Multi-query Setting. SDM Yujun Yan, Mark Heimann, Di Jin, Danai Koutra