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。
Our members have published 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.
⭐️⭐️⭐️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
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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)! -
2025.05: 🎉🎉 我们的论文 《Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation Under Statistical Heterogeneity》 被 IEEE Transactions on Instrumentation and Measurement 接收（中科院二区）！
2025.05: 🎉🎉 Our paper "Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation Under Statistical Heterogeneity" has been accepted by IEEE Transactions on Instrumentation and Measurement (CAS Tier 2)! -
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:
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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.
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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.
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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.
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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
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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- 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
🔬 Head / 研究员
🎓 Ph.D. Students / 博士生
🎓 Master’s Students / 硕士生
Xinru Liu
Ling Zhu
Wenxuan Xu
Mengdie Feng
Yuanqin Cai
Yixing Liang
Dechao Zhou
Liting Feng
Chunwang Li
Zhanxu Ling
Yuqi Liu
Weijia Rong
Zhiyuan Wang
Qian Zhou
Bin Li
Yunyi Qin
Linzhe Lai
Qisong Wang
Yueyang Wu
💻 Alumni / 毕业生
🎓 Academic / 学术界
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
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
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
🏭 Industry / 工业界
🎓 2025级毕业生
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张谢云
就业单位：立晟智能科技有限公司 -
魏春晨
就业单位：中国电子科技集团公司第二十八研究所（中电28所） -
张明辉
就业单位：TP-LINK -
钟达庆
就业单位：电子科技大学算法工程师 -
陈晓璐
就业单位：[信息已经被隐藏]
🎓 2024级毕业生
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郭康帅
就业单位：美团（Meituan） -
陈昱汐
就业单位：腾讯（Tencent） -
张重坚
就业单位：中兴（ZTE） -
常钰
就业单位：百度（Baidu） -
杨顺吉
就业单位：[信息已经被隐藏]
🎓 2023级毕业生
- 何攀
就业单位：上海魔珐科技公司 - 陈典
就业单位：TP-LINK - 王虓一
就业单位：[信息已经被隐藏]地区公务员 - 黄和金
就业单位：中国建设银行 （四川）
🎓 2022级毕业生
- 洪峰
就业单位：华为（Huawei）
🎓 2021级毕业生
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袁鑫
就业单位：成都飞机工业（集团）有限责任公司 （成飞） -
张赛
就业单位：西南电子电信技术研究所 （成都）