Weiwen Liu
Tenured Track Associate Professor
Works on large language models and recommendation algorithms in the APEX Data & Knowledge Management Lab.
Weiwen Liu's lab at SJTU works on recommendation, search & web, large language models and knowledge, QA & retrieval. 70 papers since 2023, 49 at top venues, mostly CIKM and WWW. Applications close .
At a glance
- papers, 2023–2026
- 18/ year
- at T1 venues
- 70%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 20 papers2026 · T1 14 · collecting
- 22 papers2025 · T1 15
- 12 papers2024 · T1 6
- 16 papers2023 · T1 14
T1 venuesOtherVenues: CIKM, WWW, ACL, ICLR, EMNLP
Research focuspaper titles that use each topic's words
- Large language models26 papers
- Recommendation, search & web21 papers
- recommendation10 papers
- Knowledge, QA & retrieval9 papers
- knowledge management0 papers
Paper list
From the lab homepage and DBLP.
202620 papers
- ACL (T1)A Survey of Large Language Model-Based Search Agents (opens in a new tab)
- ACL (T1)ACE-Router: Generalizing History-Aware Routing from MCP Tools to the Agent Web (opens in a new tab)
- Findings of ACLAgent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning (opens in a new tab)
- ICLR (T1)ATGen: Adversarial Reinforcement Learning for Test Case Generation (opens in a new tab)
- AAMAS (T1)Automatically Benchmarking LLM Code Agents through Agent-driven Annotation and Evaluation (opens in a new tab)
- WWW (T1)ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks (opens in a new tab)
- ACL (T1)ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge Evolution (opens in a new tab)
- Theor. Comput. Sci.Contextual combinatorial conservative bandits (opens in a new tab)
- ACL (T1)CoreCodeBench: Decoupling Code Intelligence via Fine-Grained Repository-Level Tasks (opens in a new tab)
- AAMAS (T1)DebugTA: An LLM-Based Agent for Simplifying Debugging and Teaching in Programming Education (opens in a new tab)
- KDD (T1)DynaTree: Dynamic Agentic Retrieval Tree for Time-Sensitive News Retrieval (opens in a new tab)
- Trans. Recomm. Syst.Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models (opens in a new tab)
202522 papers
- APWeb-WAIMA Retrieval-Enhanced Click Model for Web Search (opens in a new tab)
- Findings of EMNLPACEBench: A Comprehensive Evaluation of LLM Tool Usage (opens in a new tab)
- SIGIR (T1)Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems (opens in a new tab)
- ACL (T1)Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger (opens in a new tab)
- IJCNNCECAT: Certainty-Guaranteed Environment for Computerized Adaptive Testing (opens in a new tab)
- Findings of NAACLChain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step (opens in a new tab)
- WWW (T1)D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems (opens in a new tab)
- SIGIR (T1)Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding (opens in a new tab)
- ACM Trans. Inf. Syst.How Can Recommender Systems Benefit from Large Language Models: A Survey (opens in a new tab)
- WWW (T1)HyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation (opens in a new tab)
- IJCNNIECAT: an Individualized High-Efficiency Ability Assessment for Computerized Adaptive Testing (opens in a new tab)
- EMNLP (T1)iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use (opens in a new tab)
202412 papers
- ACM Trans. Knowl. Discov. DataA Survey on Bid Optimization in Real-Time Bidding Display Advertising (opens in a new tab)
- CCEAIAn AUTOSAR Crypto Stack System for Supporting Automotive Electronic Information Security (opens in a new tab)
- CIKM (T1)EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction (opens in a new tab)
- ICASSP (T1)Enhancing Multi-Task Models For Recommendation with Tensor Trace Norm (opens in a new tab)
- WWW (T1)HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning (opens in a new tab)
- CIKM (T1)MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models (opens in a new tab)
- PAKDDMulti-sourced Integrated Ranking with Exposure Fairness (opens in a new tab)
- Findings of ACLPlanning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios (opens in a new tab)
- CCIRPlay to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models (opens in a new tab)
- WWW (T1)The 2nd Workshop on Recommendation with Generative Models (opens in a new tab)
- RecSys (T1)Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models (opens in a new tab)
- ACM Trans. Knowl. Discov. DataUtility-Oriented Reranking with Counterfactual Context (opens in a new tab)
202316 papers
- WSDM (T1)A Bird's-eye View of Reranking: From List Level to Page Level (opens in a new tab)
- IJCAI (T1)A Survey on User Behavior Modeling in Recommender Systems (opens in a new tab)
- WSDM (T1)An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages (opens in a new tab)
- KDD (T1)Deep Landscape Forecasting in Multi-Slot Real-Time Bidding (opens in a new tab)
- CIKM (T1)DFFM: Domain Facilitated Feature Modeling for CTR Prediction (opens in a new tab)
- WWW (T1)Integrated Ranking for News Feed with Reinforcement Learning (opens in a new tab)
- RecSys (T1)International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023 (opens in a new tab)
- ACM Trans. Inf. Syst.Learning to Retrieve User Behaviors for Click-through Rate Estimation (opens in a new tab)
- CIKM (T1)Multi-domain Recommendation with Embedding Disentangling and Domain Alignment (opens in a new tab)
- KDD (T1)On-device Integrated Re-ranking with Heterogeneous Behavior Modeling (opens in a new tab)
- IEEE AccessOptical Neural Network in Free-Space and Nanophotonics (opens in a new tab)
- CIKM (T1)Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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