| 2025 | ICLR | Reasoning of Large Language Models over Knowledge Graphs with Super-Relations. | Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu |
| 2025 | ICML | LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection. | Xinyue Zeng, Haohui Wang, Junhong Lin, Jun Wu, Tyler Cody, Dawei Zhou |
| 2025 | KDD | When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark. | Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Yada Zhu, Julian Shun |
| 2024 | UAI | Revisiting Convergence of AdaGrad with Relaxed Assumptions. | Yusu Hong, Junhong Lin |
| 2022 | VCIP | DesnowFormer: an effective transformer-based image desnowing network. | Ting Zhang, Nanfeng Jiang, Junhong Lin, Jielian Lin, Tiesong Zhao |
| 2018 | ICML | Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods. | Junhong Lin, Volkan Cevher |
| 2018 | ICML | Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces. | Junhong Lin, Volkan Cevher |
| 2016 | ICML | Generalization Properties and Implicit Regularization for Multiple Passes SGM. | Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco |