| 2026 | ACL | Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs. | Xuyuan Liu, Shengyu Chen, Xinshuai Dong, Yanchi Liu, Xujiang Zhao, Haoyu Wang, Yujun Yan, Haifeng Chen, Zhengzhang Chen |
| 2025 | ACL | Spectral Insights into Data-Oblivious Critical Layers in Large Language Models. | Xuyuan Liu, Lei Hsiung, Yaoqing Yang, Yujun Yan |
| 2025 | EMNLP | Judging with Many Minds: Do More Perspectives Mean Less Prejudice? On Bias Amplification and Resistance in Multi-Agent Based LLM-as-Judge. | Chiyu Ma, Enpei Zhang, Yilun Zhao, Wenjun Liu, Yaning Jia, Peijun Qing, Lin Shi, Arman Cohan, Yujun Yan, Soroush Vosoughi |
| 2025 | EMNLP | GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models. | Tuo Wang, Adithya Kulkarni, Tyler Cody, Peter A. Beling, Yujun Yan, Dawei Zhou |
| 2025 | ICML | MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-text Decoding. | Weikang Qiu, Zheng Huang, Haoyu Hu, Aosong Feng, Yujun Yan, Rex Ying |
| 2025 | KDD | Tackling Size Generalization of Graph Neural Networks on Biological Data from a Spectral Perspective. | Gaotang Li, Danai Koutra, Yujun Yan |
| 2025 | KDD | Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks. | Tuo Wang, Jian Kang, Yujun Yan, Adithya Kulkarni, Dawei Zhou |
| 2025 | WWW | Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. | Lifu Huang, Danai Koutra, Adithya Kulkarni, Temiloluwa Prioleau, Qingyun Wu, Yujun Yan, Yaoqing Yang, James Zou, Dawei Zhou |
| 2024 | CIKM | GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs. | Vipul Gupta, Xin Chen, Ruoyun Huang, Fanlong Meng, Jianjun Chen, Yujun Yan |
| 2024 | ICML | Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning. | Zheng Huang, Qihui Yang, Dawei Zhou, Yujun Yan |
| 2024 | ICML | EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs. | Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou |
| 2023 | KDD | Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. | Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan |
| 2022 | ICDM | Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks. | Yujun Yan, Milad Hashemi, Kevin Swersky, Yaoqing Yang, Danai Koutra |
| 2022 | WWW | Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. | Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra |
| 2019 | KDD | GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data. | Yujun Yan, Jiong Zhu, Marlena Duda, Eric Solarz, Chandra Sekhar Sripada, Danai Koutra |
| 2018 | SDM | Fast Flow-based Random Walk with Restart in a Multi-query Setting. | Yujun Yan, Mark Heimann, Di Jin, Danai Koutra |