我是刘磊,目前专注于医疗大语言模型方向的相关研究和应用。我于香港中文大学(深圳)获得博士学位,随后通过蚂蚁星计划加入蚂蚁集团。同时,我由蚂蚁集团与浙江大学联合资助从事博士后研究工作。
招聘信息:蚂蚁医疗算法团队现面向大规模基础设施、大模型训练及医疗应用方向,招募实习生与全职成员。
🎓 教育经历
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2025 - Now 2020 - 2025 | Post-doc - 浙江大学 PhD - 香港中文大学(深圳) |
🧑💻 工作经历
Ant Group,Algorithm Expert
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2025.6 - Now | 算法专家, 蚂蚁健康, 蚂蚁集团 |
📝 学术论文
[1] Lei Liu, Hao Zhu, Xiaoyan Yang, Yue Shen, Zhixuan Chu, Jian Wang, Jinjie Gu, Kui Ren. Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training. Oral Presentation, ACL 2026
[2] Lei Liu, Li Liu, Yawen Cui. Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning. ACM-MM 2024
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[3] Lei Liu, Xiaoyan Yang, Fangzhou Li, Chenfei Chi, Yue Shen, Shiwei Lyu, Ming Zhang, Xiaowei Ma, Xiangguo Lyu, Liya Ma, Zhiqiang Zhang, Wei Xue, Yiran Huang, Jinjie Gu. Towards Automatic Evaluation for LLMs’ Clinical Capabilities: Metric, Data, and Algorithm. KDD 2024▴
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[4] Yuxuan Zhang*, Lei Liu*, Li Liu. Cuing Without Sharing: A Federated Cued Speech Recognition Framework via Mutual Knowledge Distillation. ACM-MM 2023
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[5] Yaopei Zeng*, Lei Liu*, Li Liu, Li Shen, Shaoguo Liu, Baoyuan Wu. Global Balanced Experts for Federated Long-Tailed Learning. ICCV 2023
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[6] Lei Liu, Li Liu. Cross-modal Mutual Learning for Cued Speech Recognition. ICCV 2023
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[7] Lei Liu, Li Liu, Haizhou Li. Computation and Parameter Efficient Multi-Modal Fusion Transformer for Cued Speech Recognition. IEEE TASLP
[8] Xidong Wang, Shuqi Guo, Yue Shen, Junying Chen, Jian Wang, Jinjie Gu, Ping Zhang, Lei Liu†, Benyou Wang†. LiveClin: A Live Clinical Benchmark without Leakage
*Co-first Author †Corresponding Author