I am Jinpeng Chen, an Associate Professor and Doctoral Advisor at the School of Computer Science (National Model Software College), Beijing University of Posts and Telecommunications (BUPT), and Deputy Director of the Digital & Intelligent Transformation Department. I am a Senior Member of CCF, a Senior Member of CIC, and a member of IEEE and ACM. My research interests include data mining & intelligent computing, AI & applications, and multimodal learning.

I have led or participated in 40+ research projects funded by national programs, provincial/ministerial agencies, and industry partners. These include the National Key R&D Program, National Science and Technology Innovation 2030 Major Projects, Major Projects on Cyberspace Security, NSFC General/Youth Programs, the National Social Science Foundation, Beijing Natural Science Foundation Key/Frontier/Haidian Joint/Youth Programs, and collaborative funds from CCF–Tencent Rhino Bird, CCF–Zhejiang Lab “Zhihai”, CCF–Zhipu LLM, SMP–IDATA Morning Star, BUPT Frontier Research Promotion / Youth Innovation Programs, and key lab open grants. I have published 100+ papers at leading venues such as SIGIR, WWW, NeurIPS, ICML, AAAI, ACM MM, ACL, EMNLP, TKDE, and TMC, received the ICONIP 2022 Best Paper Award, and hold 14 granted/pending patents.

📢 News

• 2026.08 — Our paper “Bridging Reasoning and Retrieval: A Large-Small Model Collaboration Framework for Multimodal Entity Alignment” was accepted by EMNLP 2026 (Findings). 🎉
• 2026.08 — Our paper “Structure Attribute Seesaw: Conflict Aware Embedding Decoupling in Attributed Graph Clustering” was accepted by IEEE ICDM 2026. 🎉
• 2026.08 — Our paper “Diffusion Optimized Social Prompt: Adapting Pre-trained Recommenders for Cold-start Users” was accepted by IEEE ICDM 2026. 🎉
• 2026.06 — Congratulations to Zhang Fan, Jianxiang, and Ma Jian on their successful graduation! 🎉

🔬 Research

Our group focuses on four tightly connected directions: Social Media & Data Mining, Recommender Systems, Large Language Models (LLMs), and Intelligent Transportation & Spatiotemporal Forecasting. We emphasize principled modeling, robust evaluation, and deployable systems.

1) Social Media & Data Mining

• User & Content Modeling: multimodal representation learning for posts/users (text–image–video), topic and sentiment dynamics, influence estimation.
• Community Discovery: graph-based and dynamic community detection on interaction/interest networks; profiling communities and tracking evolution over time.

2) Recommender Systems

• Sequential Recommendation: session- and long-horizon sequence models capturing short-term intents and long-term preferences; temporal/context signals.
• Multimodal Recommendation: fusing text, image, and behavioral cues for cold-start and explainability; contrastive and cross-modal alignment.
• Fine-grained User & Item Modeling: attribute- and aspect-level representations, disentangled factors, and side-information enrichment for precise matching.

3) Large Language Models (LLMs)

• Model Lightweighting: distillation, pruning, quantization, and parameter-efficient tuning (LoRA/QLoRA) for efficient training and inference.
• Multi-Agent Applications: planner–solver–critic pipelines, tool-augmented agents for retrieval/recommendation, evaluation agents for safety and reliability.

4) Intelligent Transportation & Spatiotemporal Forecasting

• Traffic Flow Prediction: graph neural models over road networks (sensor/road-link graphs), dynamic connectivity, and data fusion (speed/volume/ETC).
• Spatiotemporal Forecasting: multi-scale temporal modeling, spatial attention and diffusion on grids/graphs, probabilistic forecasting and uncertainty.
• Autonomous-Driving Assistance: perception–map–trajectory fusion, intention and risk prediction for driving decision support under real-time constraints.

📚 Selected Publications

Peer-reviewed journal/conference papers from 2023+. Preprints (arXiv/CoRR) are excluded.

2026

1. Enhancing Explainable Sequential Recommendation With Disentangled Representations and Auxiliary Review Explanations. Chen, Jinpeng and Guan, Huachen and Gao, Hongbo and Li, Huan and Yang, Zhenye and Zhang, Fan and Wei, Kaimin and Kou, Feifei and Wu, Xindong IEEE Trans. Comput. Soc. Syst. 2026. [Link]
2. Medical Image Privacy in Federated Learning: Segmentation-Reorganization and Sparsified Gradient Matching Attacks. Wei, Kaimin and Qian, Jin and Jia, Chengkun and Chen, Jinpeng and Zhang, Jilian and Wu, Yongdong and Zhu, Jinyu and Guo, Yuhan IEEE J. Biomed. Health Informatics 2026. [Link]
3. Adapt-MDRL: An Adaptive Multiagent Deep Reinforcement Learning Framework for Dynamic UAV Crowdsensing. Chen, Xiaohui and Wei, Kaimin and Chen, Jinpeng IEEE Trans. Aerosp. Electron. Syst. 2026. [Link]
4. M4Rec: Multi-Modal Knowledge Graph Modeling of Multi-Dimensional User Preferences for Next-POI Recommendation. Chen, Jinpeng and Zhang, Fan and Li, Huan and Lu, Hua and Wei, Kaimin and Wang, Senzhang and Jensen, Christian S. IEEE Trans. Knowl. Data Eng. 2026. [Link]
5. DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation. Zhang, Fan and Chen, Jinpeng and Wang, Tao and Li, Huan and Wang, Senzhang and Kou, Feifei and Ji, Ye and Wei, Kaimin and Yang, Zhenye In Fortieth AAAI Conference on Artificial Intelligence, AAAI 2026, Singapore, January 20-27, 2026 2026. [Link]
6. Same Last-Item Confusion Unveiled: A Unified Mitigation Framework for Graph Learning in Session-Based Recommendation. Chen, Jinpeng and He, Jianxiang and Cao, Yuan and Li, Huan and Yang, Zhenye and Wei, Kaimin and Jin, Xiongnan and Wang, Senzhang and Tu, Weiping In Proceedings of the ACM Web Conference 2026, WWW 2026, Leipzig, Germany, May 12-16, 2026 2026. [Link]
7. E2E-PP: End-to-End Privacy Protection via compressive sensing and personalized differential privacy for mobile crowdsensing. Zheng, Xingyu and Wei, Kaimin and Liu, Zhiquan and Chen, Jinpeng and Jia, Chengkun and Zhang, Jilian Comput. Secur. 2026. [Link]
8. Towards dynamic cooperative scheduling in multi-UAV urban sensing: A hierarchical reinforcement learning approach. Jiao, Mengge and Wei, Kaimin and Liu, Zhiquan and Chen, Jinpeng and Jia, Chengkun and Li, Yan and Pei, Tingrui Internet Things 2026. [Link]
9. STA-MS: A many-to-many stable task allocation based on multi-round selection in mobile crowdsensing. Zhao, Shiting and Wei, Kaimin and Liu, Zhiquan and Chen, Jinpeng J. Netw. Comput. Appl. 2026. [Link]
10. Frequency-enhanced heterogeneous graph-based sequential recommendation with disentangled methods. Chen, Jinpeng and Fu, Wenbo and Guan, Huachen and Zhang, Fan and Yang, Zhenye and He, Jianxiang and Gao, Hongbo and Wei, Kaimin Knowl. Inf. Syst. 2026. [Link]
11. See the Forest for the Trees: Loosely Speculative Decoding via Visual-Semantic Guidance for Efficient Inference of Video LLMs. Ji, Yicheng and Zhang, Jun and Chen, Jinpeng and Wang, Cong and Shou, Lidan and Chen, Gang and Li, Huan In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2026, San Diego, California, United States, July 2-7, 2026 2026. [Link]

2025

1. Adaptive graph diffusion networks: compact and expressive GNNs with large receptive fields. Sun, Chuxiong and Zhang, Muhan and Hu, Jie and Gu, Hongming and Chen, Jinpeng and Yang, Mingchuan Artif. Intell. Rev. 2025. [Link]
2. IDBR: Interaction-Aware Dual-Granularity Learning for Bundle Recommendation. Wang, Jinqing and Cao, Yuan and Zhang, Fan and Kou, Feifei and Wei, Kaimin and Zhang, Jinghui and Chen, Jinpeng Big Data Min. Anal. 2025. [Link]
3. Dual-view collaboration fusion on diffusion learning for bundle recommendation. Chen, Jinpeng and Wang, Jinqing and Zhang, Fan and Cao, Yuan and Wei, Kaimin and Huang, Liwei and Zhu, Haoran and Kou, Feifei and Huang, Hongben Inf. Fusion 2025. [Link]
4. PD-DRL: Towards privacy-preserving and energy-sustainable UAV crowdsensing. Chen, Xiaohui and Wei, Kaimin and Chen, Jinpeng and Wu, Yongdong Internet Things 2025. [Link]
5. Privacy-Preserving Multitask Online Matching in Mobile Crowdsensing: A Snapshot-Based Approach. Wei, Kaimin and Zhao, Shiting and Chen, Jinpeng and Pei, Tingrui and Sun, Dezhi IEEE Internet Things J. 2025. [Link]
6. Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced Training. Sun, Chuxiong and Hu, Jie and Gu, Hongming and Chen, Jinpeng and Liang, Wei and Yang, Mingchuan Pattern Recognit. 2025. [Link]
7. Driving Risk Assessment for Intelligent Vehicles Based on Entropy-Informed Graph Neural Networks and Gaussian Distributions. Gao, Hongbo and Wang, Chengbo and Niu, Runda and Fang, Xiaozhao and Chen, Jinpeng and Sun, Yining and Jin, Huiqing and Wang, Danwei IEEE Trans. Neural Networks Learn. Syst. 2025. [Link]
8. HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models. Jin, Xiongnan and Wang, Zhilin and Chen, Jinpeng and Yang, Liu and Oh, Byungkook and Hwang, Seung-won and Li, Jianqiang In AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA 2025. [Link]
9. Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection. Bi, Weihong and Kou, Feifei and Shi, Lei and Li, Yawen and Li, Haisheng and Chen, Jinpeng and Xu, Mingying In AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA 2025. [Link]
10. Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation. Chen, Jinpeng and He, Jianxiang and Li, Huan and Wang, Senzhang and Cao, Yuan and Wei, Kaimin and Yang, Zhenye and Ji, Ye In Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 2025. [Link]
11. Stable Task Allocation in Mobile Crowdsensing: An Interruption-Driven Approach. Wei, Kaimin and Qi, Guozi and Cui, Lin and Chen, Jinpeng and Chen, Xiaohui and Xu, Ke IEEE Trans. Netw. Serv. Manag. 2025. [Link]
12. STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation. Yang, Zhenye and Chen, Jinpeng and Li, Huan and Jin, Xiongnan and Li, Xuanyang and Zhang, Junwei and Gao, Hongbo and Wei, Kaimin and Wang, Senzhang In Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 2025. [Link]
13. SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning. Ji, Yicheng and Zhang, Jun and Xia, Heming and Chen, Jinpeng and Shou, Lidan and Chen, Gang and Li, Huan In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, EMNLP 2025, Suzhou, China, November 4-9, 2025 2025. [Link]
14. Heterogeneous Graph-Based Sequential Recommendation with Disentangled Methods. Chen, Jinpeng and Guan, Huachen and Zhang, Fan and Yang, Zhenye and He, Jianxiang and Gao, Hongbo and Wei, Kaimin In IEEE International Conference on Data Mining, ICDM 2025, Washington DC, USA, November 12-15, 2025 2025. [Link]
15. Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation. Zhang, Fan and Chen, Jinpeng and Li, Huan and Wang, Senzhang and Cao, Yuan and Wei, Kaimin and He, Jianxiang and Kou, Feifei and Wang, Jinqing In Proceedings of the 33rd ACM International Conference on Multimedia, MM 2025, Dublin, Ireland, October 27-31, 2025 2025. [Link]
16. CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization. Yan, Yichen and Zhong, Ming and Zhu, Qi and Gu, Xiaoling and Chen, Jinpeng and Li, Huan In Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025 2025. [Link]

2024

1. Aggregation-based dual heterogeneous task allocation in spatial crowdsourcing. Lin, Xiaochuan and Wei, Kaimin and Li, Zhetao and Chen, Jinpeng and Pei, Tingrui Frontiers Comput. Sci. 2024. [Link]
2. SR-HetGNN: session-based recommendation with heterogeneous graph neural network. Chen, Jinpeng and Li, Haiyang and Zhang, Xudong and Zhang, Fan and Wang, Senzhang and Wei, Kaimin and Ji, Jiaqi Knowl. Inf. Syst. 2024. [Link]
3. CRAS: cross-domain recommendation via aspect-level sentiment extraction. Zhang, Fan and Zhou, Yaoyao and Sun, Pengfei and Xu, Yi and Han, Wanjiang and Huang, Hongben and Chen, Jinpeng Knowl. Inf. Syst. 2024. [Link]
4. Group Task Recommendation in Mobile Crowdsensing: An Attention-Based Neural Collaborative Approach. Wei, Kaimin and Qi, Guozi and Li, Zhetao and Guo, Song and Chen, Jinpeng IEEE Trans. Mob. Comput. 2024. [Link]
5. EMPNet: An extract-map-predict neural network architecture for cross-domain recommendation. Chen, Jinpeng and Zhang, Fan and Li, Huan and Lu, Hua and Jin, Xiongnan and Liu, Kuien and Li, Hongjun and Wang, Yongheng World Wide Web (WWW) 2024. [Link]
6. From Black-box to Label-only: a Plug-and-Play Attack Network for Model Inversion. Bao, Huan and Wei, Kaimin and Chen, Yao and Hou, Hanting and Chen, Jinpeng and Wu, Yongdong In 35th British Machine Vision Conference, BMVC 2024, Glasgow, UK, November 25-28, 2024 2024. [Link]
7. PACIFIC: Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Counterfactual Data Augmentation. Chen, Jinpeng and Guan, Huachen and Li, Huan and Zhang, Fan and Huang, Liwei and Pang, Guangyao and Jin, Xiongnan In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 2024. [Link]
8. GI-SMN: Gradient Inversion Attack Against Federated Learning Without Prior Knowledge. Qian, Jin and Wei, Kaimin and Wu, Yongdong and Zhang, Jilian and Chen, Jinpeng and Bao, Huan In Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part VIII 2024. [Link]

2023

1. FePN: A robust feature purification network to defend against adversarial examples. Cao, Dongliang and Wei, Kaimin and Wu, Yongdong and Zhang, Jilian and Feng, Bingwen and Chen, Jinpeng Comput. Secur. 2023. [Link]
2. Mandari: Multi-Modal Temporal Knowledge Graph-aware Sub-graph Embedding for Next-POI Recommendation. Liu, Xiaoqian and Li, Xiuyun and Cao, Yuan and Zhang, Fan and Jin, Xiongnan and Chen, Jinpeng In IEEE International Conference on Multimedia and Expo, ICME 2023, Brisbane, Australia, July 10-14, 2023 2023. [Link]

🏆 Honors and Teaching Awards

• First Prize, China Institute of Electronics (CIE) Teaching Achievement Award; First Prize, Teaching Paper at the 14th Beijing Higher Education Young Teachers’ Basic Teaching Skills Competition.
• Excellence Award, National Information & Electronic Disciplines Graduate Education Essay; CCGEC 2025 Best Paper (First Prize); CECC 2024 Teaching Case (First Prize).
• Third Prize, 12th Excellent Higher Education Paper; Zhou Jiongpang Outstanding Young Teacher Award; “ChuanYou 70 · Truth-Seeking & Innovation Pioneer” Award; “Beijing Mobile” Teaching Innovation Award.
• BUPT Graduate Teaching Achievement Award (Second Prize); BUPT 15th Teaching Observation Competition (Second Prize); BUPT Young Teachers’ Basic Teaching Skills Competition (Second Prize); BUPT Teaching Innovation Competition (Second Prize).
• “Outstanding Instructor” for the Undergraduate Innovation & Entrepreneurship Training Program.

📖 Teaching

Selected undergraduate and graduate courses with brief descriptions, instructors, and offering unit.

🤝 Service

Professional Committees

• Vice Director, World Young Scientists Association (WYSA) Committee on Digital-Intelligence Integration.
• Member, China AI Education Alliance.
• Reviewer, CSCIED Scientific Evaluation Database.
• Executive Member, CCF Technical Committee on Big Data.
• Executive Member, CCF Technical Committee on Artificial Intelligence & Pattern Recognition.
• Executive Member, CCF Technical Committee on Databases.
• Founding Executive Member, CCF Large Model Forum.
• Member, CAAI Technical Committee on Intelligent Service.
• Member, CAAI Technical Committee on Embodied Intelligence.
• Standing Member, CICC Committee on Medical-Engineering Integration.
• Member, CIPS Young Scholars Committee.
• Member, CIPS Technical Committee on Social Media Processing.
• Member, CIPS Technical Committee on Language and Knowledge Computing.
• Member, CCF YOCSEF Headquarters.

Editorial Boards

• Editorial Board Member, Scientific Reports.
• Early-Career Editorial Board Member, Big Data Mining and Analytics.
• Executive Committee Member, Computer Science (《计算机科学》).
• Editorial Board Member, Journal of Social Computing.
• Early-Career Editorial Board Member, Journal of Huazhong University of Science and Technology (《华中科技大学学报》).
• Early-Career Editorial Board Member, Computer Science and Exploration (《计算机科学与探索》).
• Assistant Editor, Journal of Intelligent Systems (《智能系统学报》).

Program Leadership & Program Committees

• Session Chair, “Edge–End Big Data Intelligence” Forum, the 14th CCF Big Data Conference (CCF BigData 2026), August 23, 2026.
• Area Chair, CCL 2025 (Chinese Computational Linguistics).
• Program Committee: The Web Conference (WWW) 2025, IJCAI 2024–2025, ACM Multimedia 2025, AAAI 2025, and other major venues.

Reviewer (Journals & Conferences)

Served as reviewer for leading journals and conferences, including: TOIS, TKDE, WWW, KDD, SIGIR, ICML, CVPR.

🎤 Talks

• 2026-08-01 From Preference Transfer to Intent Reasoning: Research on Generative Cross-Domain Recommendation. Invited talk at the “Generative Search and Recommendation” Forum of the 11th CCF China Conference on Data Mining (CCDM 2026).
• 2025-11-02 Preference-aware Causal Intervention and Intent-driven Sequential Recommendation. Invited talk at the 11th China Conference on Intelligent Technology and Big Data (CITBD 2025).
• 2025-06-23 Academic Talk (Invited). Zhejiang Normal University.
• 2025-03-21 Future Recommendation: Exploring Paths to Personalized Recommendation in the LLM Era. Special guest, YOCSEF Jinan Technical Forum, National Supercomputing Center Jinan Science Park (Main Building 451).
• 2024-12-11 Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Data Augmentation. Invited talk at the Zhixing Forum: Frontiers of Data Mining and Embodied Intelligence, Beijing Jiaotong University (Siyuan Time Café).
• 2024-11-22 Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Data Augmentation. Keynote at the CETC Taiji / Institute 15 Youth Academic Exchange & Inaugural Meeting of the CSE Young Editorial Board.
• 2024-11-16 Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Data Augmentation. Invited talk at the AI for Science Academic Forum, BUPT Research Institute (on campus).
• 2024-10-13 Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Data Augmentation. Invited speaker, The 12th China National Conference on Social Media Processing (SMP 2024), Xinxiang, China.
• 2023-11-24 Mandari: Multi-Modal Temporal Knowledge Graph-aware Sub-graph Embedding for Next-POI Recommendation. Talk at CCIR 2023 Summer School, Beijing, China.
• 2023-07-22 Mandari: Multi-Modal Temporal Knowledge Graph-aware Sub-graph Embedding for Next-POI Recommendation. Talk at KDD China 2023 Summer School, Chengdu, China.

🎓 Students

Student Mentoring

• Supervised 22 Undergraduate Innovation & Entrepreneurship Training Projects (9 national, 9 municipal).
• Students received BUPT Innovation & Entrepreneurship Practice Awards: First Prize (2019), Second Prize ×2 (2021), Third Prize ×2 (2018, 2021).
• Graduate mentees won Third Prize at the BUPT Graduate Innovation & Entrepreneurship Exhibition (2020).

💻 Alumni

I am so fortunate to have worked with these students:

Doctoral Graduates

• 2026:
  • 张帆 — 中国电科院

Master Graduates

• 2026:
  • 贺健翔 — 字节跳动
  • 马健 — 字节跳动
• 2025:
  • 关华琛 — 美团-营销推荐算法
  • 王晋卿 — 中电信数智科技有限公司
  • 余子羽 — 华为-AI Infra工程师
  • 井然 — 中航信移动科技股份有限公司-软件工程师
• 2024:
  • 张旭东 — 兴业银行总行
  • 刘晓倩 — 阿里巴巴-淘天算法工程师
  • 刘真光 — 农业银行-研发
• 2023:
  • 曹源 — 新加坡国立大学-博士生
  • 栾厚蕴 — 牵手未来-算法工程师
  • 许祎 — 阿里巴巴-推荐广告算法
  • 王博杰 — 智谱AI-大模型算法
• 2022:
  • 李海洋 — 美团-算法策略岗
  • 周瑶瑶 — 阿里巴巴集团-后端开发工程师
  • 胡哈蕾 — 华为-软件开发工程师
• 2021:
  • 耿新尧 — Apple

Undergraduate Alumni

• 2026:
  • 张钧渭 — 复旦大学 读研
  • 密言 — 中国科学院计算技术研究所 保研
• 2025:
  • 黄天瑞 — 中国科学院大学软件学院
  • 刘应秋 — 好未来-Golang开发
• 2024:
  • 朱霄 — 香港科技大学（广州）
• 2022:
  • 陈昱滔 — 澳门大学-博士生
  • 张超伟 — 厦门建发-信息岗
  • 马瑞遥 — 新加坡国立大学-RA，博士生
• 2021:
  • 熊博韬 — 四川电信-AI工程师
• 2020:
  • 邓宇彤 — 留学
• 2019:
  • 张佩 — 广西大学-助理教授
• 2018:
  • 张静怡 — 易方达基金 IT
• 2017:
  • 贺桐 — 腾讯-游戏开发

🏛️ Affiliations