Recent News
Aug 2025
Join Shanghai Jiao Tong University (SJTU) as a Tenure-Track Assistant Professor.
May 2025
Two papers were accepted by KDD 2025.
Apr 2025
Three papers were accepted by SIGIR 2025.
Jan 2025
One paper was accepted by WWW 2025.
Aug 2024
Our paper Mamba4Rec wins the best paper award at RelKD-KDD 2024.
Jul 2024
Two papers were accepted by RecSys 2024.
Jul 2024
Five papers were accepted by CIKM 2024 (Accept Rate: 23.0%).
Jun 2024
Our survey paper about LLM-enhanced RS was accepted by TOIS (CCF A).
Jun 2024
Two papers were accepted by Frontiers of Computer Science (CCF-B).
May 2024
One paper was accepted by KDD 2024 (Accept Rate: 20.0%).
Jan 2024
Three papers were accepted by WWW 2024 (Accept Rate: 20.2%).
Sep 2023
Our paper KAR wins the best paper award at DLP-RecSys 2023.
Jun 2023
We release our survey paper and awesome GitHub repo for LLM-enhanced RS.
May 2023
One paper was accepted by KDD 2023 (Accept Rate: 22.1%).
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Jianghao Lin
Tenure-Track Assistant Professor
Department of Data and Business Intelligence (DBI)
Supervisor at:
Shanghai, China Email: • linjianghao [AT] sjtu.edu.cn (preferred) • chiangel [DOT] ljh [AT] gmail.com My previous email chiangel@sjtu.edu.cn is deprecated!
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I am a Tenure-Track Assistant Professor in the Department of Data and Business Intelligence at Antai College of Economics and Management (ACEM), Shanghai Jiao Tong University (SJTU). I received my Ph.D. in Computer Science in 2025 and my B.E. in Software Engineering, both from Shanghai Jiao Tong University.
Concurrently, I serve as the supervisor at:
- Institute of Intelligent Computing (IIC), at Antai College of Economics and Management, co-worked with Prof. Dongdong Ge and Prof. Yinyu Ye.
- APEX Data & Knowledge Management Lab, at Department of Computer Science, co-worked with Prof. Weinan Zhang and Prof. Yong Yu.
My research interests lie in the fields of generative foundation models and data science, with a particular focus on large language models, AI agents, and diffusion models. I am also dedicated to exploring their real-world applications in areas such as information retrieval, recommender systems, operations research, and intelligent business. I have published over 30 research papers at prestigious international conferences and journals. My works have been recognized with Best Paper Awards at DLP-RecSys in 2023 and ReiK-KDD in 2024, respectively.
Our research groups (both IIC and APEX Lab) are looking for outstanding and highly motivated students to join us in exploring the frontiers of generative foundation models and data science. If you are interested, please feel free to send me your CV to linjianghao [AT] sjtu.edu.cn.
我的研究兴趣主要集中在生成式基础模型和数据科学领域，特别专注于大语言模型、AI智能体和扩散模型，并致力于探索这些技术在信息检索、推荐系统、运筹优化和智能商业等领域的交叉研究。我已在国际顶级会议和期刊上发表了30多篇研究论文，我的研究工作分别获得了2023年DLP-RecSys和2024年RelKD-KDD的最佳论文奖。
我们的研究团队（包含智能计算研究院与APEX实验室）正在寻找优秀且积极主动的学生加入我们，共同探索生成式基础模型和数据科学的前沿领域。如果您感兴趣，欢迎随时将您的简历发送至我的邮箱：linjianghao [AT] sjtu.edu.cn。
Surveys, Positions, and Tutorials
Survey Papers: |
A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges Yunjia Xi, Jianghao Lin†, Yongzhao Xiao, Zheli Zhou, Rong Shan, Te Gao, Jiachen Zhu, Weiwen Liu, Yong Yu, Weinan Zhang Arxiv Preprint. |
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Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey Jiachen Zhu, Menghui Zhu, Renting Rui, Rong Shan, Congmin Zheng, Bo Chen, Yunjia Xi, Jianghao Lin, Weiwen Liu, Ruiming Tang, Yong Yu, Weinan Zhang Arxiv Preprint. |
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A Survey of AI Agent Protocols Yingxuan Yang, Huacan Chai, Yuanyi Song, Siyuan Qi, Muning Wen, Ning Li, Junwei Liao, Haoyi Hu, Jianghao Lin†, Gaowei Chang, Weiwen Liu, Ying Wen, Yong Yu, Weinan Zhang Arxiv Preprint. |
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A Comprehensive Survey on Retrieval Methods in Recommender Systems Junjie Huang, Jizheng Chen, Jianghao Lin, Jiarui Qin, Ziming Feng, Weinan Zhang, Yong Yu ACM Transactions on Information Systems (TOIS) Conditional on Minor Revisions. |
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A Survey on Diffusion Models for Recommender Systems Jianghao Lin, Jiaqi Liu, Jiachen Zhu, Yunjia Xi, Chengkai Liu, Yangtian Zhang, Yong Yu, Weinan Zhang Arxiv Preprint. |
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How Can Recommender Systems Benefit from Large Language Models: A Survey Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Hao Zhang, Yong Liu, Chuhan Wu, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang ACM Transactions on Information Systems (TOIS) 2024. |
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Superplatforms Have to Attack AI Agents Jianghao Lin, Jiachen Zhu, Zheli Zhou, Yunjia Xi, Weiwen Liu, Yong Yu, Weinan Zhang Arxiv Preprint. |
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The Real Barrier to LLM Agent Usability is Agentic ROI Weiwen Liu, Jiarui Qin, Xu Huang, Xingshan Zeng, Yunjia Xi, Jianghao Lin, Chuhan Wu, Yasheng Wang, Lifeng Shang, Ruiming Tang, Defu Lian, Yong Yu, Weinan Zhang Arxiv Preprint. |
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Agentic Information Retrieval Weinan Zhang, Junwei Liao, Ning Li, Kounianhua Du, Jianghao Lin† Arxiv Preprint. |
Publications [Google Scholar]
* Co-first author, † Corresponding author See my full paper list categorized by research topics: [Link]. Selected Arxiv Preprints: |
A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges Yunjia Xi, Jianghao Lin†, Yongzhao Xiao, Zheli Zhou, Rong Shan, Te Gao, Jiachen Zhu, Weiwen Liu, Yong Yu, Weinan Zhang Arxiv Preprint. |
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Generative Representational Learning of Foundation Models for Recommendation Zheli Zhou, Chenxu Zhu, Jianghao Lin†, Bo Chen, Ruiming Tang, Weinan Zhang†, Yong Yu Arxiv Preprint. |
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InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation Yunjia Xi, Jianghao Lin†, Menghui Zhu, Yongzhao Xiao, Zhuoying Ou, Jiaqi Liu, Tong Wan, Bo Chen, Weiwen Liu, Yasheng Wang, Ruiming Tang, Weinan Zhang, Yong Yu Arxiv Preprint. |
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Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items Jianghao Lin, Peng Du, Jiaqi Liu, Weite Li, Yong Yu, Weinan Zhang, Yang Cao Arxiv Preprint. |
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CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models Congmin Zheng, Jiachen Zhu, Jianghao Lin, Xinyi Dai, Yong Yu, Weinan Zhang, Mengyue Yang Arxiv Preprint. |
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Diffusion Models for Recommender Systems: From Content Distribution To Content Creation Jianghao Lin, Yang Cao, Yong Yu, Weinan Zhang KDD 2025. |
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An Automatic Graph Construction Framework based on Large Language Models for Recommendation Rong Shan, Jianghao Lin†, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang KDD 2025. |
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Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin†, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang, Yong Yu SIGIR 2025. |
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Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems Renting Rui, Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu SIGIR 2025. |
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DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction Kefan Wang, Hao Wang, Wei Guo, Yong Liu, Jianghao Lin, Defu Lian, Enhong Chen SIGIR 2025. |
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Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations Junjie Huang, Jiarui Qin, Jianghao Lin, Ziming Feng, Yong Yu, Weinan Zhang WWW 2025. |
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LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis Weiming Zhang, Lingyue Fu, Qingyao Li, Kounianhua Du, Jianghao Lin, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu CIKM 2025. |
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AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing Lingyue Fu, Ting Long, Jianghao Lin, Wei Xia, Xinyi Dai, Ruiming Tang, Yasheng Wang, Weinan Zhang, Yong Yu ECML-PKDD 2025. |
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Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning Jiachen Zhu, Congmin Zheng, Jianghao Lin, Kounianhua Du, Ying Wen, Yong Yu, Jun Wang, Weinan Zhang ACL 2025 Findings. |
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An Efficient Approximation Framework for LLM-Enhanced Recommendation Huacan Chai, Menghui Zhu, Jianghao Lin, Yunjia Xi, Weinan Zhang, Yong Yu ICIC 2025. |
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A Comprehensive Survey on Retrieval Methods in Recommender Systems Junjie Huang, Jizheng Chen, Jianghao Lin, Jiarui Qin, Ziming Feng, Weinan Zhang, Yong Yu ACM Transactions on Information Systems (TOIS) Conditional on Minor Revisions. |
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Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation Rong Shan, Jiachen Zhu, Jianghao Lin, Chenxu Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang ACM Transactions on Recommender Systems (TORS) 2025. |
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Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models Yunjia Xi, Weiwen Liu, Jianghao Lin, Muyan Weng, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang ACM Transactions on Recommender Systems (TORS) 2025. |
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Sample-Efficient Deep Reinforcement Learning of Mobile Manipulation for 6-DOF Trajectory Following Yifan Zhou, Qiyu Feng, Yixuan Zhou, Jianghao Lin, Zhe Liu, Hesheng Wang IEEE Transactions on Automation Science and Engineering (T-ASE) 2025. |
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DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang KDD 2024 (Full, Oral). |
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ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang WWW 2024. |
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ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang WWW 2024. |
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M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu WWW 2024. |
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MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu CIKM 2024. |
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ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang CIKM 2024. |
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Retrieval-Oriented Knowledge for Click-Through Rate Prediction Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Yang Yang, Hao Zhang, Ruiming Tang CIKM 2024. |
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Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation Chengkai Liu, Jianghao Lin, Jianling Wang, Hanzhou Liu, James Caverlee CIKM 2024. |
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SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu CIKM 2024. |
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FLIP: Towards Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction Hangyu Wang*, Jianghao Lin*, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu RecSys 2024. |
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Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu RecSys 2024. DLP-RecSys 2023 (Best Paper Award). |
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Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee RelKD-KDD 2024 (Best Paper Award). |
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Invariant Graph Contrastive Learning for Mitigating Neighborhood Bias in Graph Neural Network based Recommender Systems Zhenyu Mu, Jianghao Lin, Xiaoyu Zhu, Weinan Zhang, Yong Yu ICANN 2024. |
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Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu CCIR 2024. |
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How Can Recommender Systems Benefit from Large Language Models: A Survey Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Hao Zhang, Yong Liu, Chuhan Wu, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang ACM Transactions on Information Systems (TOIS) 2024. |
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Towards Efficient and Effective Unlearning of Large Language Models for Recommendation Hangyu Wang*, Jianghao Lin*, Bo Chen, Yang Yang, Ruiming Tang, Weinan Zhang, Yong Yu Frontiers of Computer Science (FCS) 2024. |
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Large Language Models Make Sample-Efficient Recommender Systems Jianghao Lin, Xinyi Dai, Rong Shan, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang Frontiers of Computer Science (FCS) 2024. |
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MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang KDD 2023. |
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A Bird's-eye View of Reranking: from List Level to Page Level Yunjia Xi*, Jianghao Lin*, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu WSDM 2023. |
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An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages Lingyue Fu*, Jianghao Lin*, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu WSDM 2023. |
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Adversarially Trained Environment Models Are Effective Policy Evaluators and Improvers - An Application to Information Retrieval Yao Li, Yifan Liu, Xinyi Dai, Jianghao Lin, Hang Lai, Yunfei Liu, Yong Yu DAI 2023. |
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A Graph-Enhanced Click Model for Web Search Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu SIGIR 2021. |
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An Adversarial Imitation Click Model for Information Retrieval Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu WWW 2021. |
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Learning Ball-Balancing Robot through Deep Reinforcement Learning Yifan Zhou, Jianghao Lin, Shuai Wang, Chong Zhang ICCCR 2021. |
Honors
Academic Awards:|
CAST Youth Talent Support Project for Doctoral Students, 2024 中国科协青年人才托举工程博士生专项计划 |
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National Scholarship, 2024 研究生国家奖学金 |
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National Scholarship, 2021 研究生国家奖学金 |
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Shanghai Outstanding Undergraduate, 2021 上海市优秀毕业生 |
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National Scholarship, 2020 本科生国家奖学金 |
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National Scholarship, 2018 本科生国家奖学金 |
| Best Paper Award at RelKD-KDD, 2024 |
| Best Paper Award at DLP-RecSys, 2023 |
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Outstanding Winner (Top 0.14%), MCM/ICM 2020 美国大学生数学建模竞赛特等奖 |
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National Second Prize, CUMCM 2019 全国大学生数学建模竞赛全国二等奖 |
Academic Services
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Conference Review: KDD, WWW, WSDM, CIKM Journal Review: TKDE, TOIS, TORS, TCYB, Frontier of Computer Science (FCS), Nature Science Report, Journal of Intelligent & Fuzzy Systems |
Education
| Shanghai Jiao Tong University (SJTU) Ph.D. in Computer Science and Technology, 2021 - 2025, Shanghai, China Advisors: Prof. Weinan Zhang and Prof. Yong Yu Member of Wu Wen Jun Honorary Doctoral Program (吴文俊人工智能荣誉班) |
| Shanghai Jiao Tong University (SJTU) B.S. in Software Engineering, 2017 - 2021, Shanghai, China Member of Zhiyuan Honors Program (致远荣誉计划) |