| 2026 | INFOCOM | Task Profiling and Draft Model Selection for Accelerating Distributed Speculative Decoding. | Jialin Dong, Yaodan Xu, Tan Chen, Sheng Zhou, Zhisheng Niu |
| 2024 | IJCNN | Delayed MDPs with Feature Mapping. | Jialin Dong, Jiayi Wang, Lin F. Yang |
| 2023 | ICML | Does Sparsity Help in Learning Misspecified Linear Bandits? | Jialin Dong, Lin Yang |
| 2023 | VTC | MoRFF: Multi-View Object Detection for Connected Autonomous Driving under Communication and Localization Limitations. | Ruiqing Mao, Jingyu Guo, Yukuan Jia, Jialin Dong, Yuxuan Sun, Sheng Zhou, Zhisheng Niu |
| 2021 | KDD | Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs. | Jialin Dong, Da Zheng, Lin F. Yang, George Karypis |
| 2020 | ICASSP | Bandit Sampling for Faster Activity and Data Detection in Massive Random Access. | Jialin Dong, Jun Zhang, Yuanming Shi |
| 2019 | AISTATS | Blind Demixing via Wirtinger Flow with Random Initialization. | Jialin Dong, Yuanming Shi |
| 2019 | ICASSP | Sparse Blind Demixing for Low-latency Signal Recovery in Massive Iot Connectivity. | Jialin Dong, Yuanming Shi, Zhi Ding |
| 2019 | VTC | Sparse Blind Demixing for Low-Latency Wireless Random Access with Massive Connectivity. | Min Fu, Jialin Dong, Yuanming Shi |
| 2018 | ISIT | Nonconvex Demixing from Bilinear Measurements. | Jialin Dong, Yuanming Shi |
| 2018 | WCNC | Blind demixing for low-latency communication. | Jialin Dong, Kai Yang, Yuanming Shi |
| 2017 | ICDM | Ranking from Crowdsourced Pairwise Comparisons via Smoothed Matrix Manifold Optimization. | Jialin Dong, Kai Yang, Yuanming Shi |