韓特
韓特，現(xiàn)就職于偉德國際1946bv官網(wǎng)/能源與環(huán)境政策研究中心，預(yù)聘副教授、特別研究員、博士生導(dǎo)師，碳中和系統(tǒng)工程北京實驗室主任助理。入選中國科協(xié)“青年人才托舉”，清華大學(xué)“水木學(xué)者”，斯坦福全球前2%頂尖科學(xué)家（2021-2024連續(xù)4年），曾獲清華大學(xué)優(yōu)秀博士學(xué)位論文、中國運籌學(xué)會運籌應(yīng)用獎等榮譽。
主要研究方向包括智慧能源管理、信息能源系統(tǒng)、AI驅(qū)動的工業(yè)故障預(yù)測與健康管理、科學(xué)機器學(xué)習(xí)等。以第一/通訊作者身份在國際頂級SCI期刊上發(fā)表論文20余篇，入選ESI前1%高被引論文10余篇，ESI前0.1%熱點論文5篇，授權(quán)國家發(fā)明專利10余項。擔(dān)任人工智能領(lǐng)域頂級SCI期刊Applied Soft Computing編委、SCI期刊IEEE Sensors Journal副編輯，SCI期刊Reliability Engineering & System Safety、IEEE Transactions on Industrial Cyber-Physical Systems等國際著名期刊客座編輯。主持國家自然科學(xué)基金、北京市自然科學(xué)基金、中國博士后科學(xué)基金特別資助等國家級/省部級縱向項目課題9項，作為核心人員參與多項國家級重大/重點項目。
招生學(xué)科：管理科學(xué)與工程
歡迎對智慧能源管理、機器學(xué)習(xí)、AI大模型等方向感興趣的同學(xué)聯(lián)系攻讀碩士、博士研究生。
聯(lián)系方式
地址：北京市海淀區(qū)中關(guān)村南大街5號偉德國際1946bv官網(wǎng)（100081）
Email：hante@bit.edu.cn, hant15@tsinghua.org.cn
教育背景
2011/09 – 2015/06：清華大學(xué)，能源與動力工程系，工學(xué)學(xué)士
2015/09 – 2020/06：清華大學(xué)，能源與動力工程系，工學(xué)博士
2019/03 – 2019/09：阿爾伯塔大學(xué)，機械工程系，博士聯(lián)合培養(yǎng)
工作經(jīng)歷
2020/09 – 2023/02：清華大學(xué)，工業(yè)工程系，博士后
2023/02至今 偉德國際1946bv官網(wǎng)，偉德國際1946bv官網(wǎng)/能源與環(huán)境政策研究中心，預(yù)聘副教授、博士生導(dǎo)師
2024/05至今 偉德國際1946bv官網(wǎng)，碳中和系統(tǒng)工程北京實驗室，主任助理
代表性論文（*通訊作者, #共同第一作者）
[1] Chang Zhonghao, Han Te*. Prognostics and health management of photovoltaic systems based on deep learning: A state-of-the-art review and future perspectives. Renewable and Sustainable Energy Reviews, 2024, 205, 114861. (SCI, JCR1區(qū), 中科院Top期刊)
[2] Chang Zhonghao, Jia Kaiwen, Han Te*, Wei Yi-Ming. Towards more reliable photovoltaic energy conversion systems: A weakly-supervised learning perspective on anomaly detection. Energy Conversion and Management, 2024, 316, 118845. (SCI, JCR1區(qū), 中科院Top期刊)
[3] Han Te, Cong Rong-Gang*, Yu Biying, Tang Baojun, Wei Yi-Ming*. Integrating local knowledge with ChatGPT-like large-scale language models for enhanced societal comprehension of carbon neutrality. Energy and AI, 2024, 18, 100440.
[4] Han Te, Tian Jinpeng*, Chung C. Y.*, Wei Yi-Ming. Challenges and opportunities for battery health estimation: Bridging laboratory research and real-world applications. Journal of Energy Chemistry, 2024, 89, 434-436. (SCI, JCR1區(qū), 中科院Top期刊)
[5] Yao Yuantao, Han Te*, Yu Jie, Xie Min. Uncertainty-aware deep learning for reliable health monitoring in safety-critical energy systems. Energy, 2024, 291, 130419. (SCI, JCR1區(qū), 中科院Top期刊, Top 1% ESI高被引論文)
[6] Yao Jiachi, Chang Zhonghao, Han Te*, Tian Jinpeng*. Semi-supervised adversarial deep learning for capacity estimation of battery energy storage systems. Energy, 2024, 294, 130882. (SCI, JCR1區(qū), 中科院Top期刊, Top 1% ESI高被引論文)
[7] Chan Joey*#, Han Te#, Pan Ershun. Variational autoencoder-driven adversarial SVDD for power battery anomaly detection on real industrial data. Journal of Energy Storage, 2024, 103, Part B, 114267. (SCI, JCR1區(qū), 中科院Top期刊)
[8] Cheng Yongbo, Qv Junheng, Feng Ke, Han Te*. A Bayesian adversarial probsparse Transformer model for long-term remaining useful life prediction. Reliability Engineering & System Safety, 2024, 248, 110188. (SCI, JCR1區(qū), 中科院Top期刊)
[9] Chang Zhonghao, Zhang An-jun, Wang Huan*, Xu Jiajia, Han Te*. Photovoltaic cell anomaly detection enabled by scale distribution alignment learning and multi-scale linear attention framework. IEEE Internet of Things Journal, 2024, 11(16): 27816-27827. (SCI, JCR1區(qū), 中科院Top期刊)
[10] Zhang Xiaochen, Wang Chen, Zhou Wei, Xu Jiajia, Han Te*. Trustworthy diagnostics with out-of-distribution detection: A novel max-consistency and min-similarity guided deep ensembles for uncertainty estimation. IEEE Internet of Things Journal, 2024, 11(13): 23055-23067. (SCI, JCR1區(qū), 中科院Top期刊)
[11] Liu Ruonan, Zhang Quanhu, Han Te*, Yang Boyuan*, Zhang Weidong, Yin Shen and Zhou Donghua. Survey on foundation models for prognostics and health management in industrial cyber-physical systems. IEEE Transactions on Industrial Cyber-Physical Systems, 2024, 2: 264-280.
[12] Yao Jiachi and Han Te*. Data-driven lithium-ion batteries capacity estimation based on deep transfer learning using partial segment of charging/discharging data. Energy, 2023, 271, 127033. (SCI, JCR1區(qū), 中科院Top期刊, Top 0.1% ESI熱點論文, Top 1% ESI高被引論文)
[13] Han Te, Xie Wenzhen*, Pei Zhongyi. Semi-supervised adversarial discriminative learning approach for intelligent fault diagnosis of wind turbine. Information Sciences, 2023, 648, 119496. (SCI, JCR1區(qū), 中科院Top期刊, Top 0.1% ESI熱點論文, Top 1% ESI高被引論文)
[14] Xie Wenzhen, Han Te*, Pei Zhongyi and Xie Min. A unified out-of-distribution detection framework for trustworthy prognostics and health management in renewable energy systems. Engineering Applications of Artificial Intelligence, 2023, 125, 106707. (SCI, JCR1區(qū), 中科院Top期刊)
[15] Wang Zhe, Wu Zhiying, Li Xingqiu, Shao Haidong, Han Te*, Xie Min. Attention-aware temporal-spatial graph neural network with multi-sensor information fusion for fault diagnosis. Knowledge-Based Systems, 2023, 278, 110891. (SCI, JCR1區(qū), 中科院Top期刊)
[16] Miao Yonghao, Li Chenhui, Shi Huifang and Han Te*. Deep network-based maximum correlated kurtosis deconvolution: A novel deep deconvolution for bearing fault diagnosis. Mechanical Systems and Signal Processing, 2023, 189: 110110. (SCI, JCR1區(qū), 中科院Top期刊, Top 1% ESI高被引論文)
[17] Meng Huixing, Geng Mengyao and Han Te*. Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis. Reliability Engineering & System Safety, 2023, 236, 109288. (SCI, JCR1區(qū), 中科院Top期刊, Top 0.1% ESI熱點論文, Top 1% ESI高被引論文)
[18] Zhou Taotao, Han Te* and Enrique Lopez Droguett. Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework. Reliability Engineering & System Safety, 2022, 224: 108525. (SCI, JCR1區(qū), 中科院Top期刊, Top 0.1% ESI熱點論文, Top 1% ESI高被引論文)
[19] Han Te and Li Yan-Fu*. Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles. Reliability Engineering & System Safety, 2022, 226, 108648. (SCI, JCR1區(qū), 中科院Top期刊, Top 0.1% ESI熱點論文, Top 1% ESI高被引論文)
[20] Han Te, Wang Zhe* and Meng Huixing. End-to-end capacity estimation of Lithium-ion batteries with an enhanced long short-term memory network considering domain adaptation. Journal of Power Sources, 2022, 520: 230823. (SCI, JCR1區(qū), 中科院Top期刊)
[21] Han Te, Li Yan-Fu* and Qian Min. A hybrid generalization network for intelligent fault diagnosis of rotating machinery under unseen working conditions. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 3520011.( SCI, JCR1區(qū), 中科院Top期刊, Top 1% ESI高被引論文)
[22] Han Te, Liu Chao*, Wu Rui and Jiang Dongxiang. Deep transfer learning with limited data for machinery fault diagnosis. Applied Soft Computing, 2021, 103: 107150. (SCI, JCR1區(qū), 中科院Top期刊, Top 1% ESI高被引論文)
[23] Han Te, Liu Chao*, Yang Wenguang and Jiang Dongxiang. Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application. ISA Transactions, 2020, 97: 269-281. (SCI, JCR1區(qū), 中科院Top期刊, Top 0.1% ESI熱點論文，Top 1% ESI高被引論文)
[24] Han Te, Liu Chao*, Yang Wenguang and Jiang Dongxiang. A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults. Knowledge-Based Systems, 2019, 165: 474-487. (SCI, JCR1區(qū), 中科院Top期刊, Top 1% ESI高被引論文)
[25] Han Te, Liu Chao*, Wu Linjiang, Sarkar Soumik and Jiang Dongxiang. An adaptive spatiotemporal feature learning approach for fault diagnosis in complex systems. Mechanical Systems and Signal Processing, 2019, 117: 170-187. (SCI, JCR1區(qū), 中科院Top期刊, Top 1% ESI高被引論文)
[26] Han Te, Liu Chao*, Yang Wenguang and Jiang Dongxiang. Learning transferable features in deep convolutional neural networks for diagnosing unseen machine conditions. ISA Transactions, 2019, 93: 341-353. (SCI, JCR1區(qū), 中科院Top期刊)
[27] Han Te, Jiang Dongxiang*, Sun Yankui, Wang Nanfei and Yang Yizhou. Intelligent fault diagnosis method for rotating machinery via dictionary learning and sparse representation-based classification. Measurement, 2018, 118: 181-193. (SCI, JCR1區(qū), 中科院Top期刊)
[28] Han Te*, Jiang Dongxiang, Zhao Qi, Wang Lei and Yin Kai. Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery. Transactions of the Institute of Measurement and Control, 2018, 40(8): 2681-2693. (SCI, JCR3區(qū), Top 1% ESI高被引論文)
[29] 韓特, 李彥夫*, 雷亞國, 李乃鵬, 李響. 融合圖標(biāo)簽傳播和判別特征增強的工業(yè)機器人關(guān)鍵部件半監(jiān)督故障診斷方法. 機械工程學(xué)報, 2022, 58(17): 116-124.
科研項目
[1] 中國科協(xié)“青年人才托舉工程”項目：“可解釋、可通用”科學(xué)機器學(xué)習(xí)賦能的復(fù)雜系統(tǒng)智能運維，2023/12-2025/12，負責(zé)人
[2] 國家自然科學(xué)基金青年基金項目：小樣本下風(fēng)力發(fā)電機系統(tǒng)運行健康狀態(tài)表征與域泛化智能診斷研究，2023/01-2025/12，負責(zé)人
[3] 北京市自然科學(xué)基金豐臺前沿項目：機理-數(shù)據(jù)聯(lián)合驅(qū)動的鐵路物流園區(qū)智慧能源管控方法研究，2024/10-2027/09，負責(zé)人
[4] 工業(yè)與信息化部指導(dǎo)性軟課題：面向新型工業(yè)化的企業(yè)節(jié)能降碳優(yōu)化控制與數(shù)字化碳管理研究，2024/05-2024/12，負責(zé)人
[5] 安徽省科技創(chuàng)新攻堅計劃項目：水泥窯余熱低碳梯級綠色高效利用關(guān)鍵技術(shù)研究及應(yīng)用，2024/09-2027/09，課題負責(zé)人
[6] 寧夏回族自治區(qū)重點研發(fā)專項：電化學(xué)液冷儲能系統(tǒng)健康診斷與安全保障技術(shù)研究，2024/06-2027/05，課題負責(zé)人
[7] 安徽省科技重大專項“揭榜掛帥”項目：面向工業(yè)互聯(lián)網(wǎng)的多模態(tài)智能感知與認知決策技術(shù)攻關(guān)，2023/05-2025/12，子課題負責(zé)人
[8] 中國博士后科學(xué)基金特別資助、面上資助：數(shù)據(jù)驅(qū)動的高速列車傳動系統(tǒng)智能故障診斷與根原因分析方法研究，2021/05-2022/09，負責(zé)人
[9] 企業(yè)橫向委托-中國船舶集團系統(tǒng)工程研究院：機電設(shè)備亞健康狀態(tài)識別技術(shù)輔助研究及功能演示，2023/06-2024/06，負責(zé)人
學(xué)術(shù)兼職與服務(wù)
Editor of Applied Soft Computing, 2024-. (SCI, JCR Q1, 中科院一區(qū)Top期刊)
Associate Editor of IEEE Sensors Journal, 2023- (SCI, JCR Q1, 中科院二區(qū)期刊)
《能源與氣候變化》編委
《綜合智慧能源》青年編委
Leading Guest Editor of Reliability Engineering & System Safety (SCI, JCR Q1, 中科院一區(qū)Top期刊, FMS B類), Special Issue: Scientific Machine Learning for Enhancing Reliability and Safety of AI-powered Systems
Guest Editor of Journal of Risk and Reliability (SCI, JCR Q2, FMS B類), Special Issue: Domain-Knowledge Guided Machine Learning in Safety-Critical Applications
Guest Editor of IEEE Transactions on Industrial Cyber-Physical Systems, Special Issue: Machine Learning for Prognostics and Health Management of Industrial Cyber-physical Systems
Guest Editor of Measurement Science and Technology (SCI, JCR Q1, 中國科協(xié)高質(zhì)量科技期刊分級目錄T1級期刊), Special Issue: AI-Enabled Industrial Equipment Monitoring, Diagnosis and Health Management
北京市運籌學(xué)會副秘書長
中國“雙法”研究會能源經(jīng)濟與管理研究分會理事
中國機械工程學(xué)會工業(yè)大數(shù)據(jù)與智能系統(tǒng)分會委員
中國系統(tǒng)工程學(xué)會系統(tǒng)可靠性工程專業(yè)委員會委員
全國自動化系統(tǒng)與集成標(biāo)準(zhǔn)化技術(shù)委員會鋰電池智能制造裝備標(biāo)準(zhǔn)化工作組組員(SAC/TC159/WG18)
多個國際會議組委會成員或分論壇主席: IEEE Global Reliability & Prognostics and Health Management Conference (2023, 2024), International Conference on Artificial Intelligence and Autonomous Transportation (2024), International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (2022, 2023), etc.
主要榮譽獎勵
● 中國發(fā)明協(xié)會“發(fā)明創(chuàng)業(yè)獎”（二等獎，2/10）（2024）
● 斯坦福全球前2%頂尖科學(xué)家（2024）
● 中國科協(xié)“青年人才托舉工程”（2023）
● 斯坦福全球前2%頂尖科學(xué)家（2023）
● 中國運籌學(xué)會“運籌應(yīng)用獎”（提名獎，4/12）（2022）
● 斯坦福全球前2%頂尖科學(xué)家（2022）
● 斯坦福全球前2%頂尖科學(xué)家（2021）
● 清華大學(xué)優(yōu)秀博士學(xué)位論文，入選“清華大學(xué)優(yōu)秀博士學(xué)位論文叢書”出版項目（2020）
● 清華大學(xué)“水木學(xué)者”（2020）
● 教育部博士研究生“國家獎學(xué)金”（2019）
教學(xué)課程
《機器學(xué)習(xí)》（全英文）本科生課程
《碳市場實踐》研究生課程
學(xué)生培養(yǎng)
● 指導(dǎo)本科生韓明陽、駱道平等獲第十九屆“挑戰(zhàn)杯”全國大學(xué)生課外學(xué)術(shù)科技作品競賽2024年度“揭榜掛帥”專項賽特等獎
● 指導(dǎo)本科畢設(shè)學(xué)生常中豪獲批2024年北京市自然科學(xué)基金本科生“啟研”計劃
● 指導(dǎo)本科畢設(shè)學(xué)生常中豪獲清華大學(xué)直博生推免資格
