刘嘉成于2026年9月加入上海交通大学溥渊未来技术学院，担任长聘教轨副教授。入选国家高层次青年人才计划、上海市海外高层次青年人才计划。主要研究方向包括大模型、智能体、人工智能交叉应用等，在相关领域顶级会议与期刊发表CCF-A类论文30余篇，获得3项国际会议最佳论文（提名）奖。指导学生获得包括字节筋斗云、腾讯青云、京东顶尖青年技术天才计划、小米未来星等企业顶尖人才计划。 欢迎相关工科专业学有余力的本科生联系加入课题组。长期招收硕士、博士、博士后、研究助理。

2011年-2015年，大连理工大学，软件学院，学士

2015年-2017年，上海交通大学，软件学院，硕士

2017年-2022年，上海交通大学，电子信息与电气工程学院，博士

2022 - 2025, 香港中文大学，博士后研究员

2025 - 2026, 香港科技大学 ，博士后研究员

2026 - 至今，上海交通大学溥渊未来技术学院 ，长聘教轨副教授

2026年，国家高层次青年人才

2026年，上海市高层次青年人才

ICML、ICLR、TC、TNNLS等顶级会议、期刊审稿人

1. Jiacheng Liu, et al. “Causal Dependency-Aware Unsupervised Routing for Large Reasoning Model.” The Forty-third International Conference on Machine Learning (CCF-A), July. 2026.

2. Jiacheng Liu, et al. “A Survey on Inference Optimization Techniques for Mixture of Experts Models”. ACM Computing Surveys (IF: 28), Mar. 2026.

3. Jiacheng Liu, et al. “Space-Exit: Enabling Efficient Adaptive Computing in Space with Early Exits”. Proc. the USENIX Annual Technical Conference (CCF-A), Jul. 2025.

4. Jiacheng Liu, et al. “Noisy Multi-Label Aggregation with Self-Supervised Graph Transformer in Mobile Crowdsourcing”. IEEE Transactions on Mobile Computing (CCF-A), Dec, 2025.

5. Jiacheng Liu, et al. “BAT: A Versatile Bipartite Attention-based Approach for Comprehensive Truth Inference in Mobile Crowdsourcing”. IEEE Transactions on Mobile Computing (CCF-A), Apr. 2025.

6. Jiacheng Liu, et al. “An Adaptive and Interpretable Congestion Control Service Based on Multi-Objective Reinforcement Learning”. IEEE Transactions on Service Computing (CCF-A), Dec. 2024.

7. Jiacheng Liu, et al. “Practical Network Modeling Using Weak Supervision Signals for Human-Centric Networking in Metaverse”. IEEE Journal on Selected Areas in Communications (CCF-A), Dec. 2023.

8. Jiacheng Liu, et al. “scHeteroNet: A Heterophily-Aware Graph Neural Network for Accurate Cell Type Annotation and Novel Cell Detection”. Advanced Science (IF: 14.1), Mar. 2025

9. Tianle Chen, Pengyu Cheng, Qiyuan Zhu, Jiacheng Wang, Bei Liu, Hao Gu, Ruijie Shen, Xiaofeng Hou, Sirui Han, Jiacheng Liu*. “Adaptive Spatial and Temporal Redundancy Optimization for Efficient Reasoning in Large Language Models”. The 64th Annual Meeting of the Association for Computational Linguistics (CCF A), 2026.

10. Hao Liu, Jiacheng Liu*, et al. “Towards a Foundation Model for Crowdsourced Label Aggregation”. The Fourteenth International Conference on Learning Representations (CCF A), 2026.