| 2025 | EuroSys | Achieving Fairness Generalizability for Learning-based Congestion Control with Jury. | Han Tian, Xudong Liao, Decang Sun, Chaoliang Zeng, Yilun Jin, Junxue Zhang, Xinchen Wan, Zilong Wang, Yong Wang, Kai Chen |
| 2025 | KDD | Experience Speaks Louder: Black-box Hard-label Adversarial Attack through Reinforcement Learning. | Yilun Jin, Kun Zhu, Feng Tang, Jiaxuan Shi, Yong Chen |
| 2025 | KDD | Exploiting Student Parallelism for Low-latency GPU Inference of BERT-like Models in Online Services. | Weiyan Wang, Yilun Jin, Yiming Zhang, Victor Junqiu Wei, Han Tian, Li Chen, Jinbao Xue, Yangyu Tao, Di Wang, Kai Chen |
| 2025 | WWW | IntentionGPT: Boosting E-commerce User Intent Recognition with Self-data Augmentation and Structure-aware Retrieval. | Yilun Jin, Chunqi Wu, Ying Zhang, Chenglong Shi, Zhao Li, Wei Yin, Xuming Pan |
| 2025 | SIGCOMM | MixNet: A Runtime Reconfigurable Optical-Electrical Fabric for Distributed Mixture-of-Experts Training. | Xudong Liao, Yijun Sun, Han Tian, Xinchen Wan, Yilun Jin, Zilong Wang, Zhenghang Ren, Xinyang Huang, Wenxue Li, Kin Fai Tse, Zhizhen Zhong, Guyue Liu, Ying Zhang, Xiaofeng Ye, Yiming Zhang, Kai Chen |
| 2025 | SIGCOMM | Coflow Scheduling for LLM Training. | Xinchen Wan, Xinyu Yang, Kaiqiang Xu, Xudong Liao, Yilun Jin, Yijun Sun, Zhenghang Ren, Han Tian, Kai Chen |
| 2024 | EuroSys | Accelerating Privacy-Preserving Machine Learning With GeniBatch. | Xinyang Huang, Junxue Zhang, Xiaodian Cheng, Hong Zhang, Yilun Jin, Shuihai Hu, Han Tian, Kai Chen |
| 2024 | USENIX | Efficient Decentralized Federated Singular Vector Decomposition. | Di Chai, Junxue Zhang, Liu Yang, Yilun Jin, Leye Wang, Kai Chen, Qiang Yang |
| 2023 | KDD | Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities. | Yilun Jin, Kai Chen, Qiang Yang |
| 2022 | IJCAI | Secure Forward Aggregation for Vertical Federated Neural Networks. | Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen |
| 2022 | KDD | Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting. | Yilun Jin, Kai Chen, Qiang Yang |
| 2021 | AAAI | GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks. | Yi Li, Yilun Jin, Guojie Song, Zihao Zhu, Chuan Shi, Yiming Wang |
| 2021 | WWW | Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. | Qingqing Long, Yilun Jin, Yi Wu, Guojie Song |
| 2020 | AAAI | GraLSP: Graph Neural Networks with Local Structural Patterns. | Yilun Jin, Guojie Song, Chuan Shi |
| 2020 | ECAI | EPNE: Evolutionary Pattern Preserving Network Embedding. | Junshan Wang, Yilun Jin, Guojie Song, Xiaojun Ma |
| 2020 | IJCAI | Domain Adaptive Classification on Heterogeneous Information Networks. | Shuwen Yang, Guojie Song, Yilun Jin, Lun Du |
| 2020 | KDD | Graph Structural-topic Neural Network. | Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin |
| 2020 | WWW | Active Domain Transfer on Network Embedding. | Lichen Jin, Yizhou Zhang, Guojie Song, Yilun Jin |
| 2019 | CIKM | Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. | Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin |
| 2019 | IJCAI | DANE: Domain Adaptive Network Embedding. | Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin |