个人简介：
何亮，清华大学研究员、皇冠体育注册教授、博士生导师。清华大学援疆干部，皇冠体育注册智能与科学技术学院党委副书记，院长。
研究领域：语音处理、知识图谱与智能决策等。常年从事科研和教学工作，积累了较丰富教学科学研究经验和领域专业知识。主持6项国家级项目（1项国家重大科技专项课题、2项国家自然科学基金）和1项自治区重点研发计划课题等各类科研项目20余项，参与8项国家级项目（1项国家重点研发技术课题，1项国家自然科学基金重大项目）。科研成果在国家重要部门与地区部署百余套。与华为、淘宝和腾讯等知名公司合作，合作研发的算法与系统在手机淘宝等上线应用。声纹识别技术助力反电信诈骗并起草制定1项行业标准。多次参加国际权威评测（NIST SRE等），并取得优异成绩。发表学术论文100余篇，代表性研究成果在Nature Communication（Featured Articles）、IMeta、IEEE Trans on ASLP、Agricultural Water Management、Knowledge-Based Systems、Big Data Mining and Analytics、EMNLP、ICASSP和Interspeech等国际期刊与会议上发表。授权国家发明专利8项，科研成果孵化产业公司，北京华控智加科技有限公司（国家高新技术企业、北京专精特新中小企业）。
全国高校黄大年式教师团队成员。担任中文信息学会开源情报技术专委会秘书长等。IEEE ASLP, Pattern Recognition, ICASSP, INTERSPEECH等国际期刊/会议审稿人。2020-2023年ICME领域主席、分会主席；2020年；Interspeech、ICASSP分会主席等；2019-2020年全国声纹识别技术与应用研讨会会议主席。
研究方向：
语音处理、知识图谱与智能决策等
主讲课程：
程序设计语言、优化方法与理论、机器学习、人工智能导论
近五年学术成果：
一、学术论文
[1] Liu Yuhan, Chen Xin, Yi Sheng, Guo Wenjia, He Liang&, Leveraging Biological Knowledge Graph and Dynamic Connection Mechanism for Cancer Status Prediction Based on Genomic Data, Big Data Mining and Analytics, Accepted（中科院1区，IF=7.7，唯一通讯作者）
[2] Yi Chen, Meiwei Lin, Zhuo Yu, Weihong Sun, Weiguo Fu, Liang He&, Enhancing cotton irrigation with distributional actor–critic reinforcement learning, Agricultural Water Management, Volume 307, 2025, 109194, //doi.org/10.1016/j.agwat.2024.109194. （中科院1区，IF=5.9，唯一通讯作者）
[3] Guang-Xu Ren*, Liang He*, Yong-Xin Liu*, Yu-Ke Fei, Xiao-Fan Liu, Qiu-Yi Lu, Xin Chen, Zhi-Da Song, Jia-Qi Wang, The long-term intake of milk fat does not significantly increase the blood lipid burden in normal and high-fat diet-fed mice, iMeta 3, e256. （IF=23.7，共同一作）
[4] Zhihua Fang, Liang He&, Lin Li and Ying Hu, Improving Speaker Verification With Noise-Aware Label Ensembling and Sample Selection: Learning and Correcting Noisy Speaker Labels, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 32, pp. 2988-3001, 2024, doi: 10.1109/TASLP.2024.3407527.（语音领域顶刊，IF=4.1，唯一通讯作者）
[5] Peiru Yang, Hongjun Wang, Yingzhuo Huang, Shuai Yang, Ya Zhang, Liang Huang, Yuesong Zhang, Guoxin Wang, Shizhong Yang, Liang He&, Yongfeng Huang, LMKG: A Large-Scale and Multi-Source Medical Knowledge Graph for Intelligent Medicine Applications, Knowledge-Based Systems, Volume 284, 2024.（中科院1区，IF=7.2，唯一通讯作者）
[6] Jian Zhang, Jin Ma, Xiaochen Guo, Lin Li, Liang He&, A Speaker Recognition Method Based on Stable Learning, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 10221-10225.
[7] Liang He&, Ruida Li, Mengqi Niu, A Study on Graph Embedding for Speaker Recognition, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 10741-10745.
[8] Zhida Song, Liang He&, Penghao Wang, Ying Hu, Hao Huang, Introducing Multilingual Phonetic Information to Speaker Embedding for Speaker Verification, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 10091-10095.
[9] Liang He&, Zhihua Fang, Zuoer Chen, Minqiang Xu, Ying Meng, Penghao Wang, Multi-View Speaker Embedding Learning for Enhanced Stability and Discriminability, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 10081-10085.
[10] Kunting Li, Yong Hu, Liang He&, Fandong Meng, and Jie Zhou. C-LLM: Learn to Check Chinese Spelling Errors Character by Character. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 5944–5957 (EMNLP 2024, main long paper), Miami, Florida, USA. Association for Computational Linguistics.
[11] Tao Qi, Fangzhao Wu, Chuhan Wu, Liang He, Yongfeng Huang, Xing Xie. Differentially Private Knowledge Transfer for Federated Learning, Nature Communications, Jun 24. 2023, vol. 14, no. 3785, pp: 1-9.
[12] Yi Chen, Liang He&. SKD-NER: Continual Named Entity Recognition via Span-based Knowledge Distillation with Reinforcement Learning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024, main long paper), pp: 6689–6700, Singapore.
近五年主持或在研项目：
1.国家自然科学基金，大规模高精度可解释说话人识别关键问题研究，2024-2027，主持、
2.自治区重点研发专项课题，基于生物知识库与因果推断的新疆女性高发肿瘤诊疗技术研发与应用，2022-2026，主持
3.新一代人工智能国家科技重大专项课题，智能农事决策与调度管理系统，2022-2025，主持
4.国家重点研发专项，网络XX隐藏与网络XX构建技术，2022-2025，参与
5.国家自然科学基金，肝癌精准治疗的智能化外科决策与手术规划，2021-2025，参与
