Publications

Selected Publications | Full List

* denotes equal contribution

A Large-Scale Multimodal Dataset and Benchmarks for Human Activity Scene Understanding and Reasoning Siyang Jiang, Mu Yuan, Xiang Ji, Bufang Yang, Zeyu Liu, Lilin Xu, Yang Li, Yuting He, Liran Dong, Wenrui Lu, Zhenyu Yan, Xiaofan Jiang, Wei Gao, Hongkai Chen, Guoliang Xing ACM MobiSys 2026 PDF \| Code \| Project Page \| 🏆Best Presentation Award (ANAI Workshop@MobiCom 2025) 🏁CUHK-X Challenge (Co-located with UbiComp/ISWC 2026) 🎉机器之心, MIT Technology Review China, DeepTech.
Towards Compute-Efficient Byzantine-Robust Federated Learning with Fully Homomorphic Encryption Siyang Jiang, Hao Yang, Qipeng Xie, Chuan Ma, Sen Wang, Zhe Liu, Tao Xiang, Guoliang Xing Nature Machine Intelligence 2025 (IF = 29.8) PDF \| Cover Candidate 🎉TechXplore, BioEngineer, ScienMag, 机器之心.
Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts Siyang Jiang, Rui Fang, Hsi-Wen Chen, Wei Ding, Guoliang Xing, Ming-Syan Chen NeurIPS 2025 PDF \| 🏆Scholar Award
ArtFL: Exploiting Data Resolution in Federated Learning for Dynamic Runtime Inference via Multi-Scale Training Siyang Jiang, Xian Shuai, Guoliang Xing ACM/IEEE IPSN 2024 PDF \| Demo \| 🏆Best Paper Award (1/93 submissions)

A Large-Scale Multimodal Dataset and Benchmarks for Human Activity Scene Understanding and Reasoning Siyang Jiang, Mu Yuan, Xiang Ji, Bufang Yang, Zeyu Liu, Lilin Xu, Yang Li, Yuting He, Liran Dong, Wenrui Lu, Zhenyu Yan, Xiaofan Jiang, Wei Gao, Hongkai Chen, Guoliang Xing ACM MobiSys 2026 PDF \| Code \| Project Page \| 🏆Best Presentation Award (ANAI Workshop@MobiCom 2025) 🏁CUHK-X Challenge (Co-located with UbiComp/ISWC 2026) 🎉机器之心, MIT Technology Review China, DeepTech.
Towards Compute-Efficient Byzantine-Robust Federated Learning with Fully Homomorphic Encryption Siyang Jiang, Hao Yang, Qipeng Xie, Chuan Ma, Sen Wang, Zhe Liu, Tao Xiang, Guoliang Xing Nature Machine Intelligence 2025 (IF = 29.8) PDF \| Cover Candidate 🎉TechXplore, BioEngineer, ScienMag, 机器之心.
Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts Siyang Jiang, Rui Fang, Hsi-Wen Chen, Wei Ding, Guoliang Xing, Ming-Syan Chen NeurIPS 2025 PDF \| 🏆Scholar Award
ArtFL: Exploiting Data Resolution in Federated Learning for Dynamic Runtime Inference via Multi-Scale Training Siyang Jiang, Xian Shuai, Guoliang Xing ACM/IEEE IPSN 2024 PDF \| Demo \| 🏆Best Paper Award (1/93 submissions)