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康怡琳，海歸博士/博士后，博士畢業于新加坡南洋理工大學計算機科學與工程學院，師從學院院長Miao Chun-Yan教授（IEEE Fellow）及科研副院長Tan Ah-Hwee教授（終身教授）。本科與碩士畢業于華中科技大學。現任人工智能系主任。主要研究方向包括強化學習、大語言模型與智能體、生成式模型、多模計算、社會計算等。碩士就讀期間曾在Intel中國實習，博士就讀期間先后在Intellisys, C2i及世界級研發中心The Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly從事科學研究工作。現為中國人工智能學會教育工作委員會委員，中國人工智能學會高級會員，中國計算機學會會員，IEEE學會會員，湖北省僑聯青委會委員。作為骨干成員參與新加坡國家重點研究基金項目2 項。目前已發表國際高水平學術會議及期刊論文20余篇（包含CCF A類會議）。擔任IEEE/WIC/ACM International Conference on Web Intelligent and Intelligent Agent Technology 2015組委會委員，長期擔任IJCAI、AAAI等國際頂級學術會議程序委員會委員（PC），常年擔任IEEE Trans. On Neural Network and Learning Systems（CCF A類期刊）等重要學術期刊審稿人。擔任獨角獸公司AI顧問。獲計算機領域本科教育教學改革試點工作（“101 計劃”）核心課程教材試點應用項目 1 項。

主要教授課程：

* 機器學習

* 機器學習課程設計

* 認知科學導論

* 軟件設計I：面向對象程序設計語言

* 智能科學前沿

* 走近人工智能（公選）

組里部分深造學生去向：

競賽指導：

指導學生參加國家級/省級競賽40余項, 包括：

* 指導研究生獲壁仞科技“飛翔杯”GPU編程挑戰賽二等獎（第四名，力壓清華大學、浙江大學團隊）。

* 國家級大學生創新訓練項目多項

* 中國高校智能機器人創意大賽一等獎

* 世界機器人大賽一等獎

* 中國大學生計算機設計大賽二等獎

* “泰迪杯”數據挖掘挑戰賽一等獎

* 中國工程機器人大賽一等獎

* 2019年“湖北省計算機專業人才培養合作聯盟”本科畢業論文答辯1等獎（第一名）

* 多項省級/校級“本科優秀學士學位論文”

部分論文成果：

[1] Zijing Wan, Xiaozhen Chen, Yilin Kang, Ziqi Zhou, Xiaoxue Jiang, Zheng Xiang, Dongwei Xu, Xiaobing Luo, “Computational screening of 2D anode materials with robust thermal and electrical properties for lithium-ion batteries”, Journal of Energy Storage, Volume 75, 2024,

[2] Xu, Aikun, Hu, Zhigang, Zhang, Xinyu, Xiao, Hui, Zheng, Hao, Chen, Bolei, Zheng, Meiguang, Zhong, Ping, Kang, Yilin, Li, Keqin, “QDRL: Queue-Aware Online DRL for Computation Offloading in Industrial Internet of Things”, IEEE Internet of Things Journal vol. 11, no. 5, pp. 7772-7786, 2024

[3]Zijing Wan, Yilin Kang, Renwei Ou, Song Xue, Dongwei Xu, Xiaobing Luo, “Multi-step time series forecasting on the temperature of lithium-ion batteries”, Journal of Energy Storage, Volume 64, 1 August 2023 (SCI 1區)

[4]楊紀星, 楊波, 朱劍林, 康怡琳,“面向金融領域的因果事理圖譜構建方法研究與實現”,中文信息學報, 2023 (中國中文信息學會旗艦刊物)

[5] Yilin Kang，Renwei Ou，Yi Zhang，Hongling Li，Shasha Tian, “PG-CODE: Latent Dirichlet Allocation Embedded Policy Knowledge Graph for Government Department Coordination” , Tsinghua Science and Technology, 2022 (SCI 1區)

[6] Yilin Kang，Renwei Ou, “Multi-Entity Government Policy Networks: Modelling and Characteristic Mining”, IEEE International Conference on Metaverse,  2022

[7]Dejun Wang, Hebin Hu, Yilin Kang, Yi Zhang, Zhida Guo and Tenglong Yu, “Policy2Graph: A Structure-aware Perspective on Constructing Policy Knowledge Graph for Smart Governance”, IEEE International Conference on Metaverse , 2022

[8]Ping Zhong, Aikun Xu, Yilin Kang, Shigeng Zhang , Yiming Zhang, “An optimal deployment scheme for extremely fast charging stations”, Peer-to-Peer Netw. Appl. 15(3): 1486-1504, 2022

[9]Aikun Xu, Ping Zhong*, Yilin Kang, Jiongqiang Duan, Anning Wang,Mingming Lu, and Chuan Shi, “THAN:Multi-Modal Transportation Recommendation with Heterogeneous Graph Attention Networks”, IEEE Transactions on Intelligent Transportation System, 2022（SCI 1區）

[10]康怡琳,孫璐冰,朱容波,李夢瑤, “深度學習中文命名實體識別研究綜述” ,華中科技大學學報：自然科學版, 44-53, 2022 (華科70周年校慶專刊)

[11]Shasha Tian, Yuanxiang Li, Yilin Kang, Jiening Xia, “Multi-robot path planning in wireless sensor networks based on jump mechanism PSO and safety gap obstacle avoidance”, Future Generation Computer Systems, Volume 118, pp.37-47, 2021 （SCI 2區）

[12]Budhitama Subagdja, Ah-Hwee Tan, Yi-Lin Kang, “A coordination , framework for multi-agent persuasion and adviser systems”, Expert Systems with applications, : 31~51, 2019（SCI 1區）

[13]Yilin Kang, Ah-Hwee Tan and Chunyan Miao, “An Adaptive Computational Model for Personalized Persuasion”, International Joint Conference on Artificial Intelligence 2015 (CCF A類)  

[14]Yilin Kang, Ah-Hwee Tan, “Making Personalized Persuasion: A Computational Model for Adaptive Persuasion”, Fourteenth International Conference on Autonomous Agents and Multiagent Systems (CCF B類)  

[15]Di Wang, Budhitama Subagdja, Yilin Kang, Ah-Hwee Tan and Daqing Zhang, “Towards Intelligent Caring Agents for Aging-In-Place: Issues and Challenges”, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014), Orlando, Florida, USA, December 9-12, 2014

[16]Yilin Kang and Ah-Hwee Tan, “Self-Organizing Cognitive Models for Virtual Agents”, In Proceedings, Thirteenth International Conference on Intelligent Virtual Agents, pp.29-43, Edinburgh, Scotland, U.K, 28 August - 01 September 2013.

[17]Yilin Kang, Fui-Hoon Nah and Ah-Hwee Tan, “Investigating Intelligent Agents in a 3D Virtual World”, In Proceedings, International Conference on Information Systems (ICIS 2012), Orlando, USA, December 16-19, 2012. （信息系統領域頂會）

[18]Yilin Kang, Ah-Hwee Tan and Fui-Hoon Nah, “Agent-based Virtual Humans in Co-Space: An Evaluative Study”, In Proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2012), Macau, China, December 4-7, 2012.

[19]Yilin Kang, Budhitama Subagdja, Ah-Hwee Tan, Yew-Soon Ong and Chun-Yan Miao, “Virtual Characters in Agent-Augmented Co-Space”, In Proceedings, Eleventh International Conference on Autonomous Agents and Multiagent Systems, pp. 1465-1466, Valencia, Spain, June 4-8, 2012. (CCF B類)  

[20]Yilin Kang, Ah-Hwee Tan, “Learning Personal Agents with Adaptive Player Modeling in Virtual Worlds”, IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pp. 173-180, Toronto, 2010.

[21]Yilin Kang, Ah-Hwee Tan, “Self-Organizing Agents for Reinforcement Learning in Virtual Worlds”, International Joint Conference on Neural Networks, pp. 3641-3648, Spain, 2010. (CCF C類)  

[22]Ah-Hwee Tan, Yilin Kang, “Agent-Augmented Co-Space: Toward Merging of Real World and Cyberspace”, ATC 2010, LNCS 6407, pp. 298-312. Springer, Heidelberg (2010).

[23]Zin-Yan Chua, Yilin Kang, Xing Jiang, Kah-Hoe Pang, Andrew C. Gregory, Chi-Yun Tan, Wai-Lun Wong, Ah-Hwee Tan, Yew-Soon Ong, Chun-Yan Miao. “Youth Olympic Village Co-Space”, 2010 International Conference on Cyberworlds, pp. 200-207, Singapore.

[24]Zheng-Xiang Pan, Liang Feng, Yew-Soon Ong, Yilin Kang, Ah-Hwee Tan, Chunyan Miao. “Meme Selection, Variation, and Transmission in Multi-agent System”, World Automation Congress 2010, Kobe, Japan, 2010.

課題組科研經費及研究生指標充足，組內氛圍好，可為研究生提供良好待遇、科研軟硬件環境及發展機會：

(1)長期招收碩士研究生（可推薦至國內知名雙一流大學或新加坡、加拿大等世界知名大學/機構聯合培養，可推薦高質量實習機會）；

(2)歡迎高年級本科生參與科研工作。

電子郵件地址：

ylkangATmail.scuec.edu.cn