| 2024 | ICRA | A Data-Driven Approach to Geometric Modeling of Systems with Low-Bandwidth Actuator Dynamics. | Siming Deng, Junning Liu, Bibekananda Datta, Aishwarya Pantula, David H. Gracias, Thao D. Nguyen, Brian A. Bittner, Noah J. Cowan |
| 2022 | CIKM | Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems. | Junning Liu, Xinjian Li, Bo An, Zijie Xia, Xu Wang |
| 2022 | KDD | Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems. | Qihua Zhang, Junning Liu, Yuzhuo Dai, Yiyan Qi, Yifan Yuan, Kunlun Zheng, Fan Huang, Xianfeng Tan |
| 2020 | RecSys | Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations. | Hongyan Tang, Junning Liu, Ming Zhao, Xudong Gong |
| 2010 | RecSys | The YouTube video recommendation system. | James Davidson, Benjamin Liebald, Junning Liu, Palash Nandy, Taylor Van Vleet, Ullas Gargi, Sujoy Gupta, Yu He, Mike Lambert, Blake Livingston, Dasarathi Sampath |
| 2007 | INFOCOM | Bounds on the Gain of Network Coding and Broadcasting in Wireless Networks. | Junning Liu, Dennis Goeckel, Donald F. Towsley |
| 2006 | MOBICOM | On optimal communication cost for gathering correlated data through wireless sensor networks. | Junning Liu, Micah Adler, Donald F. Towsley, Chun Zhang |
| 2004 | ESA | Load Balancing in Hypercubic Distributed Hash Tables with Heterogeneous Processors. | Junning Liu, Micah Adler |