| 2026 | AAAI | FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models. | Junkang Liu, Fanhua Shang, Hongying Liu, Yuxuan Tian, Yuanyuan Liu, Jin Liu, Kewen Zhu, Zhouchen Lin |
| 2026 | AAAI | KeepKV: Achieving Periodic Lossless KV Cache Compression for Efficient LLM Inference. | Yuxuan Tian, Zihan Wang, Yebo Peng, Aomufei Yuan, Zhiming Wang, Bairen Yi, Xin Liu, Yong Cui, Tong Yang |
| 2026 | HCI | Designing a Wearable Device for Early-Stage Diabetic Foot: Bridging Smart Healthcare with User-Centric Innovation. | Kexin Miao, Yuxuan Tian, Ruoxin Qiao, Siran Niu, Yun Chen |
| 2025 | IJCNN | SEmgFormer: Muscle Synergy Channel Attention Enhanced Vision Transformer Network For sEMG Motion Recognition Using STFT Spectrogram. | Zhuangzhuang Li, Yuxuan Tian, Chenyi Guo, Ji Wu |
| 2025 | IMC | Approaching 100% Confidence in Stream Summary through ReliableSketch. | Yuhan Wu, Hanbo Wu, Xilai Liu, Yuxuan Tian, Yikai Zhao, Tong Yang, Rui Qiu, Kaicheng Yang, Sha Wang, Tao Li, Lihua Miao, Gaogang Xie |
| 2025 | KDD | Measuring Item Freshness in Data Streams. | Zirui Liu, Zihan Jiang, An Zhang, Zhouran Shi, Yuxuan Tian, Tong Yang |
| 2025 | SMC | sEMG-DGCN: Directed Graph Convolutional Network for Rehabilitation Action Difficulty Assessment Based on sEMG. | Yuxuan Tian, Zhuangzhuang Li, Xuefeng Feng, Ji Wu, Chenyi Guo, Ye Ma, Dongwei Liu, Jian Ning |
| 2023 | VLDB | DBMLSched: Scheduling In-database Machine Learning Jobs. | Yunjia Zheng, Yuxuan Tian, Joseph Vinish D'silva, Bettina Kemme |