智能博弈实验室（Intelligame Lab） 隶属于电子科技大学，专注于 人工智能 与 智能电网 的交叉研究。在 张彦如教授 的带领下，实验室致力于通过数据驱动的方法提升未来能源系统的效率、韧性与智能化水平。

The Intelligame Lab at the University of Electronic Science and Technology of China (UESTC) is dedicated to advancing research at the intersection of Artificial Intelligence and Smart Grids. Under the leadership of Dr. Yanru Zhang, our lab explores data-driven methodologies for improving the efficiency, resilience, and intelligence of future energy systems.

实验室的主要研究方向包括基于机器学习的电力系统预测分析、建筑能源管理、电力交易以及多模态人工智能应用。我们拥有多样化的研究团队，现有 3 名研究员（杨涵博士, 刘旻昊博士 和 王岩博士）、6 名博士研究生以及 20 多名硕士研究生，广泛开展跨学科的学术与产业合作。

Our core research areas include machine learning for power systems, intelligent energy management, power trading, and multi-modal AI applications. With a diverse team of 3 research fellows (Dr. Han Yang, Dr. Minhao Liu and Dr. Yan Wang), 6 Ph.D. students, and over 20 master’s students, we actively engage in interdisciplinary collaborations across academia and industry.

实验室成员在人工智能与能源系统领域的国际顶级会议和期刊上发表了多篇论文。我们注重将理论研究应用于现实问题，积极助力国家"双碳"战略与智能城市基础设施建设。实验室总共发表论文 100+ 篇，中科院JCR-1区或CCF-A类文章 40+ 篇，电网领域中科院JCR-1区顶刊：IEEE Transactions on Smart Grid（影响因子IF 8.6）、IEEE Transactions on Sustainable Energy（IF 8.6）、Applied Energy（IF 10.1）、Smartgridcom。同时，我们的文章也发表在人工智能领域CCF-A类顶会，包括NIPS、ICLR、IJCAI等。实验室的人工智能与能源电力交叉领域已授权国家发明专利10+ 项，张彦如教授个人近5年主持项目经费超过 1500+ 万元，并与能源电力领域多个行业龙头单位建立了长期合作关系，具备扎实的产学研转化能力与示范基础。

Our members have published numerous papers in top international AI and energy systems conferences and journals. We strive to bridge theory and real-world applications, contributing to the national goals of carbon neutrality and intelligent urban infrastructure. The lab has published over 100+ papers in total, with 40+ papers in CAS JCR Q1 or CCF-A tier venues. Our work appears in top-tier journals in the power grid domain such as IEEE Transactions on Smart Grid (IF 8.6), IEEE Transactions on Sustainable Energy (IF 8.6), and Applied Energy (IF 10.1). Additionally, our research is published at premier AI conferences including NIPS, ICLR, and IJCAI. The lab has been granted 10+ national invention patents in the intersection of AI and energy systems. Professor Yanru Zhang has led projects with funding exceeding 15 million RMB over the past 5 years, establishing long-term collaborations with industry leaders in the energy sector, demonstrating strong capabilities in industry-academia-research transformation.

⭐️⭐️⭐️实验室长期招收人工智能、电气工程、计算机、智能电网、大模型等相关专业背景的本科、硕士和博士研究生，参与真实科研项目并发表高水平论文。联系我们: 左下角点击Email.

⭐️⭐️⭐️ We are actively recruiting graduate students with backgrounds in AI, Electrical Engineering, Computer Science, Smart Grid or Large language model. Students will engage in real-world research projects and publish in top-tier venues.

🔥 News / 最新动态

2025.09: 🎉🎉 我们的论文 《LLM-Enhanced Trading Decision Framework with Multi-Scale Memory for Electricity Markets》 在 IEEE SmartGridComm'25 荣获最佳论文奖！
2025.09: 🎉🎉 Our paper "LLM-Enhanced Trading Decision Framework with Multi-Scale Memory for Electricity Markets" has been selected for a Best Paper Award at IEEE SmartGridComm'25!
2025.09: 🎉🎉 我们的论文 《Socially Aware Load Forecasting Utilizing Large Language Models》 被 IEEE Transactions on Industrial Informatics 录用（🏆中科院一区期刊，工程技术1区，IF 9.9，EI 收录）！
2025.09: 🎉🎉 Our paper "Socially Aware Load Forecasting Utilizing Large Language Models" has been accepted by IEEE Transactions on Industrial Informatics (🏆Top Journal, CAS Tier 1 in Engineering, IF 9.9, indexed by EI)!
2025.09: 🎉🎉 我们的论文 《Advanced deep learning-based methodology for multi-class diagnosis of wind turbine blade faults at the wind farm level》 被 Engineering Applications of Artificial Intelligence 录用（🏆中科院一区期刊，IF 8.0）！
2025.09: 🎉🎉 Our paper "Advanced deep learning-based methodology for multi-class diagnosis of wind turbine blade faults at the wind farm level" has been accepted by Engineering Applications of Artificial Intelligence (🏆Top Journal, CAS Tier 1, IF 8.0)!
2025.09: 🎉🎉 我们的论文 《FedCoSR: Personalized Federated Learning With Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data》 被 IEEE Transactions on Cybernetics 录用（🏆中科院一区期刊，IF 10.5）！
2025.09: 🎉🎉 Our paper "FedCoSR: Personalized Federated Learning With Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data" has been accepted by IEEE Transactions on Cybernetics (🏆Top Journal, CAS Tier 1, IF 10.5)!
2025.09: 🎉🎉 我们的论文 《Semantic Communication based on Large Language Model for Underwater Image Transmission》 被 IEEE Transactions on Mobile Computing 录用（🏆中科院一区期刊，IF 9.2）！
2025.09: 🎉🎉 Our paper "Semantic Communication based on Large Language Model for Underwater Image Transmission" has been accepted by IEEE Transactions on Mobile Computing (🏆Top Journal, CAS Tier 1, IF 9.2)!
2025.07: 🎉🎉 我们的论文 《Leveraging Large Language Model for Generalization in Building Energy Management》 被 IEEE Transactions on Smart Grid 录用（🏆中科院一区期刊）！
2025.05: 🎉🎉 Our paper "Leveraging Large Language Model for Generalization in Building Energy Management" has been accepted by IEEE Transactions on Smart Grid (🏆Top Journal, CAS Tier 1)!
2022.04: 我们发布了一个开源项目 Awesome Energy LLM papers，致力于大语言模型在能源领域的应用。
We have released an open-source repository named Awesome Energy LLM papers, focusing on applications of LLMs in the energy domain.

🔍 Research / 研究方向

我们当前的研究主要集中在以下几个方向：

Our research interest currently focuses on:

能源系统智能预测与分析（Intelligent Forecasting and Analytics for Energy Systems）：融合人工智能与大规模能耗数据，开展负荷预测、用户行为建模与需求响应优化等任务，提升电力系统的智能化水平与运行效率。

Intelligent Forecasting and Analytics for Energy Systems: Combining AI techniques with large-scale energy consumption data to support load forecasting, user behavior modeling, and demand response optimization, aiming to enhance the intelligence and efficiency of power systems.
智能优化与控制（Intelligent Optimization and Control）：探索强化学习和优化技术用于电网的实时调度、可再生能源集成与建筑能源管理。

Intelligent Optimization and Control: Exploring reinforcement learning and optimization techniques for real-time grid control, renewable energy integration, and building energy management.
电力市场与交易机制（Electricity Market and Trading Mechanisms）：研究现货市场、辅助服务市场与碳交易机制中的定价模型与博弈策略，提升市场运行效率与公平性。

Electricity Market and Trading Mechanisms: Studying pricing models and game-theoretic strategies in spot markets, ancillary service markets, and carbon trading systems to enhance market efficiency and fairness.
多模态融合应用（Multimodal Integrated Applications）：融合图像、文本、时序等多模态数据，推动人工智能在智慧城市与能源系统中的感知、预测与决策能力。

Multimodal Integrated Applications: Integrating image, text, and time-series data to enhance perception, forecasting, and decision-making capabilities of AI in smart city and energy system scenarios.

我们积极开展跨人工智能、电力系统与政策等领域的合作，致力于构建可靠、高效、具备社会意识的能源解决方案。

We are actively exploring collaborations across AI, energy systems, and policy domains, aiming to build reliable, efficient, and socially aware energy solutions.

📝 Publications / 部分论文

2025.09: Weilong Chen, Xinran Zhang, Ling Zhu, Jian Shi, Zheng Chang, Zhu Han, Yanru Zhang, “Socially Aware Load Forecasting Utilizing Large Language Models”, in IEEE Transactions on Industrial Informatics, 2025. (🏆Top Journal, CAS Tier 1, Engineering & Computer Science SCI Q1, IF 9.9, EI Indexed)
2025.09: Weilong Chen, Wenxuan Xu, Haoran Chen, Xinran Zhang, Zhijin Qin, Yanru Zhang, Zhu Han, “Semantic Communication based on Large Language Model for Underwater Image Transmission”, in IEEE Transactions on Mobile Computing, 2025. (🏆Top Journal, CAS Tier 1, IF 9.2)
2025.09: Chenghao Huang, Xiaolu Chen, Yanru Zhang, Hao Wang, “FedCoSR: Personalized Federated Learning With Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data”, in IEEE Transactions on Cybernetics, 2025. (🏆Top Journal, CAS Tier 1, IF 10.5)
2025.07: Minghui Zhang, Minhao Liu, Hao Wang, Yang Wen, A-Li Luo, Yanru Zhang, “Leveraging Large Language Model for Generalization in Building Energy Management”, in IEEE Transactions on Smart Grid, 2025. (🏆Top Journal, CAS Tier 1, IF 9.8)
2025.09: Chunchen Wei, Shimin Cai, Han Yang, Yanru Zhang, “Advanced deep learning-based methodology for multi-class diagnosis of wind turbine blade faults at the wind farm level”, in Engineering Applications of Artificial Intelligence, vol. 160, Art no. 111801, 2025. (🏆Top Journal, CAS Tier 1, IF 8.0)
2025.05: Weilong Chen, Xinru Liu, Xinran Zhang, Jian Shi, Han Yang, Zhu Han, and Yanru Zhang, “SocioDiff: A Socio-aware Diffusion Model for Residential Load Data Generation“, in IEEE Transactions on Smart Grid, May. 2025. (🏆Top Journal, CAS Tier 1)
2025.05: Xiaolu Chen; Chenghao Huang; Yanru Zhang; Hao Wang, “Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation Under Statistical Heterogeneity“, in IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-11, 2025, Art no. 2529411. (CAS Tier 2)
2025.04: Wenhao Hu, Weilong Chen, Weimin Yuan, Xiaolu Chen, Han Yang, Yanru Zhang, Zhu Han, “Feature Disentangling Dual-stream Network for User Bias Alleviation in Social Media Prediction“, ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025, pp. 1-5. (CCF B)
2024.10: Wenhao Hu, Weilong Chen, Weimin Yuan, Yan Wang, Shimin Cai, Yanru Zhang, “Dual-Stream Pre-Training Transformer to Enhance Multimodal Learning for Social Media Prediction“, ACM MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia, Melbourne VIC, Australia, 2024, pp. 11450–11456. (🏆CCF A)
2024.10: Yan Zhuang, Yanru Zhang, Zheng Hu, Xiaoyue Zhang, Jiawen Deng, Fuji Ren, “GLoMo: Global-Local Modal Fusion for Multimodal Sentiment Analysis“, ACM MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia, Melbourne VIC, Australia, 2024, pp. 11450–11456. (🏆CCF A)
2024.10: Weilong Chen, Wenhao Hu, Xiaolu Chen, Weimin Yuan, Yan Wang, Yanru Zhang, Zhu Han, “Tri-Modal Transformers With Mixture-of-Modality-Experts for Social Media Prediction“, in IEEE Transactions on Circuits and Systems for Video Technology, vol. 35, no. 2, pp. 1897-1909, Feb. 2025. (🏆Top Journal, CAS Tier 1)
2024.07: Chenghao Huang; Shengrong Bu; Weilong Chen; Hao Wang; Yanru Zhang, “Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-Term Load Forecasting in Electricity Wholesale Markets“, in IEEE Transactions on Network Science and Engineering, vol. 11, no. 5, pp. 5073-5086, Sept.-Oct. 2024. (CAS Tier 2)
2024.06: Weilong Chen, Shengrong Bu, Xinran Zhang, Yanqing Tao, Yanru Zhang, Zhu Han, “Semi-Supervised Federated Analytics for Heterogeneous Household Characteristics Identification“, in IEEE Transactions on Smart Grid, vol. 15, no. 6, pp. 5799-5812, Nov. 2024. (🏆Top Journal, CAS Tier 1)
2024.06: Han Yang, Weimin Yuan, Weijun Zhu, Zhenye Sun, Yanru Zhang, Yingjie Zhou, “Wind turbine airfoil noise prediction using dedicated airfoil database and deep learning technology“, in Applied Energy,, vol.364, Art no. 123165, Jun. 2024. (🏆Top Journal, CAS Tier 1)
2024.05: Weilong Chen, Shaoliang Zhang, Ruobing Xie, Feng Xia, Leyu Lin, Xinran Zhang, Yan Wang, Yanru Zhang, “CIPPO: Contrastive Imitation Proximal Policy Optimization for Recommendation Based on Reinforcement Learning“, in IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 11, pp. 5753-5767, Nov. 2024. (🏆Top Journal, CAS Tier 1)
2023.10: Xiaolu Chen, Weilong Chen, Chenghao Huang, Zhongjian Zhang, Lixin Duan, Yanru Zhang, “Double-Fine-Tuning Multi-Objective Vision-and-Language Transformer for Social Media Popularity Prediction“, ACM MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia, Ottawa ON, Canada, 2023, pp. 9462–9466. (🏆CCF A)
2022.10: Weilong Chen, Chenghao Huang, Weimin Yuan, Xiaolu Chen, Wenhao Hu, Xinran Zhang, Yanru Zhang, “Title-and-tag contrastive vision-and-language transformer for social media popularity prediction“, ACM MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia, Lisboa, Portugal, 2022, pp. 7008–7012. (🏆CCF A)
….
other papers can be found in google scholar

🎖 Honors and Awards / 比赛获奖

2024.09: 🏆 Best Performance Prize, ACM MM SMP 2024 International Challenge
2023.09: 🏆 Best Performance Prize, ACM MM SMP 2023 International Challenge
2022.09: 🏆 Best Performance Prize, ACM MM SMP 2022 International Challenge
2020.10: 🥈 2nd Place, NeurIPS Procgen Challenge 2020
2020.09: 🏆 Best Performance Prize, ACM MM SMP 2020 International Challenge
2020.07: 🥇 1st Place, SIGIR FinIR Challenge 2020
2019 & 2020: 🥇 1st Place, ACM WSDM Cup (consecutive years)

👥 Team Members / 团队成员

🧑‍🏫 Director / 负责人

张彦如
Yanru Zhang
教授
Professor
国家级人才

🔬 Head / 研究员

杨涵
Han Yang
副研究员，硕士生导师
Associate Research Fellow, Supervisor of Master's Students

刘旻昊
Minhao Liu
副研究员，硕士生导师
Associate Research Fellow, Supervisor of Master's Students

王岩
Yan Wang
副研究员
Associate Research Fellow

🎓 Ph.D. Students / 博士生

陈维龙
Weilong Chen
博士生
Ph.D. Student

王鹏
Peng Wang
博士生
Ph.D. Student

兰卓
Zhuo Lan
博士生
Ph.D. Student

谢凯
Kai Xie
博士生
Ph.D. Student

丘楚贤
Chuxian Qiu
博士生
Ph.D. Student

陈斌
Bin Chen
博士生
Ph.D. Student

Akinwumi Akinsola Williams
博士生
Ph.D. Student

🎓 Master’s Students / 硕士生

刘心如
Xinru Liu

朱玲
Ling Zhu

胥汶渲
Wenxuan Xu

冯梦蝶
Mengdie Feng

蔡元卿
Yuanqin Cai

梁艺馨
Yixing Liang

周锝超
Dechao Zhou

冯莉婷
Liting Feng

李春旺
Chunwang Li

凌展旭
Zhanxu Ling

刘羽旗
Yuqi Liu

荣伟佳
Weijia Rong

王志远
Zhiyuan Wang

周钱
Qian Zhou

李斌
Bin Li

覃韵怡
Yunyi Qin

赖霖喆
Linzhe Lai

王麒松
Qisong Wang

吴悦炀
Yueyang Wu

蒲雨棋
Yuqi Pu

任晨玮
Chenwei Ren

曾梦颖
Mengying Zeng

官瑞翎
Ruiling Guan

黄雨欣
Yuxin Huang

杨镇宇
Zhenyu Yang

李嘉胜
Jiasheng Li

郑凯戈
Kaige Zheng

💻 Alumni / 毕业生

🎓 Academic / 学术界

Daniel Mawunyo Doe
2021级硕士毕业生
Graduated Master Student
休斯敦大学博士毕业
Ph.D. in University of Houston
助理教授
Assistant Professor in Prairie View A&M University

白玉
Yu Bai
2021级硕士毕业生
Graduated Master Student
阿尔托大学在读博士
Ph.D. student in Aalto university

庄岩
Yan Zhuang
2022级硕士毕业生
Graduated Master Student
电子科技大学在读博士
Ph.D. student in UESTC

张瑞昌
Ruichang Zhang
2022级硕士毕业生
Graduated Master Student
英国曼彻斯特大学在读博士
Ph.D. student in University of Manchester

李金豪
Jinhao Li
2022级本科毕业生
Undergraduate graduates
莫纳什大学在读博士
Ph.D. student in Monash University

黄承浩
Chenghao Huang
2023级硕士毕业生
Graduated Master Student
莫纳什大学在读博士
Ph.D. student in Monash University

袁伟民
Weimin Yuan
2024级硕士毕业生
Graduated Master Student
休斯敦大学在读博士
Ph.D. student in University of Houston

陶砚青
Yanqing Tao
2024级本科毕业生
Graduated undergraduate student
康奈尔大学在读博士
Ph.D. student in Cornell University

胡文浩
Wenhao Hu
2025级硕士毕业生
Graduated Master Student
卓克索大学在读博士
Ph.D. student in Drexel University

其他学术界毕业生 / Additional Academic Alumni

年级	学生姓名	类别	毕业去向	备注
2025年	曹言博	本科	阿卜杜拉国王科技大学博士生	全奖直博
2025年	吴雨桐	本科	澳大利亚昆士兰大学	硕士
2025年	陈晓璐	硕士	澳大利亚蒙纳士大学博士生	国家奖学金
2024年	林璨	本科	清华大学深圳国际研究生院	硕士
2024年	胡瑞	本科	北京大学深圳研究生院	硕士
2024年	毕然	本科	美国卡耐基梅隆大学	硕士，莱斯大学博士
2024年	杨秋翌	本科	美国卡耐基梅隆大学	硕士
2024年	黄俊博	本科	美国加州大学圣地亚哥分校	硕士
2023年	白薇	硕士	清华大学博士生	一等奖学金
2022年	赵泽源	本科	上海交通大学博士生	直博
2021年	郑元帅	本科	香港中文大学（深圳）博士生	一等奖学金
2021年	李冀鹏	本科	美国加州大学戴维斯分校博士生	成电杰出学子

🏭 Industry / 工业界

年级	学生姓名	类别	毕业去向	备注
2025年	张谢云	硕士	立晟智能科技有限公司	-
2025年	魏春晨	硕士	中国电子科技集团公司第二十八研究所（中电28所）	-
2025年	张明辉	硕士	TP-LINK	-
2025年	钟达庆	硕士	电子科技大学算法工程师	-
2024年	郭康帅	硕士	美团（Meituan）	国家奖学金
2024年	陈昱汐	硕士	腾讯（Tencent）	IEEE HPCC最佳论文奖
2024年	张重坚	硕士	中兴（ZTE）	-
2024年	常钰	硕士	百度（Baidu）	国家奖学金
2024年	杨顺吉	硕士	中金	-
2023年	何攀	硕士	上海魔珐科技公司	一等奖学金
2023年	陈典	硕士	TP-LINK	-
2023年	王虓一	硕士	宜宾市公务员	选调生
2023年	黄和金	硕士	中国建设银行（四川）	二等奖学金
2022年	洪峰	硕士	华为（Huawei）	国家奖学金
2021年	袁鑫	硕士	成都飞机工业（集团）有限责任公司（成飞）	智能空战
2021年	张赛	硕士	西南电子电信技术研究所（成都）/解放军第38研究所	强军计划
2021年	吴洁慧	硕士	成都市公务员	选调生