Jie Zhang
Professor
Works on user modeling, personalized recommendation and trust modeling in multi-agent systems.
Jie Zhang's lab at NTU works on recommendation, search & web, data management & big data and reasoning & neuro-symbolic AI. 77 papers since 2023, 40 at top venues, mostly NeurIPS and AAAI. 9 PhD students and 1 master's student. 35 alumni.
At a glance
- papers, 2023–2026
- 20/ year
- at T1 venues
- 52%
- PhD students
- 9
- MS students
- 1
- alumni listed
- 35
Papers by yearfrom the lab homepage, 2023–2026
- 27 papers2026 · T1 17 · collecting
- 14 papers2025 · T1 5
- 21 papers2024 · T1 10
- 15 papers2023 · T1 8
T1 venuesOtherVenues: NeurIPS, AAAI, TOIS, ICLR, TNNLS
Research focuspaper titles that use each topic's words
- Recommendation, search & web20 papers
- Data management & big data4 papers
- Reasoning & neuro-symbolic AI4 papers
- modeling2 papers
- personalized0 papers
Paper list
From the lab homepage.
202627 papers
- Engineering Applications of Artificial IntelligenceA Statistic-Augmented Neural Network for change point detection and type identification
- ACL (T1)Adaptive and Representative Multi-Interest Modeling for Recommendation with Large Language Model
- EMNLP (T1)Beyond a Single Story: Meta-Reviewing Sparse and Incomplete User-generated Contents for Recommendation
- ACM SIGKDD International Conference on Knowledge Discovery and Data MiningBidding strategy design in auction-based federated learning
- NeurIPS (T1)Distributionally Robust Black Box Optimization-based Bidding Strategy in Auction-based Federated Learning
- WWW (T1)Dynamic Experts Synergy for Multi-Task Recommendation
- NeurIPS (T1)From Retrieval to Recognition: Knowledge-Enhanced Foundation Models for Time Series Classification
- TOISGaCLLM: Large Language Model with Graph Convolution for Recommendation
- ICLR (T1)Generalizable Heuristic Generation Through LLMs with Meta-Optimization
- NeurIPS (T1)Geometry-Regularized Collapse Resistance via Consensus Enhancement for Federated Learning
- ACM SIGKDD International Conference on Knowledge Discovery and Data MiningG虏PRO: Gradient-guided Graph Prompt Optimization for LLM-based POI Recommendation
- the IEEE Internet of Things JournalKnowledge-Aware Modeling with Frequency Adaptive Learning for Battery Health Prognostics
202514 papers
- IEEE Transactions on Dependable and Secure ComputingAction-Perturbation Backdoor Attacks on Partially Observable Multiagent Systems
- AAAI (T1)Active Large Language Model-based Knowledge Distillation for Session-based Recommendation
- NeurIPS (T1)Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity
- TOISDecentralized Next Point-of-Interest Recommendation Guided by Willingness to Share
- SCIENCE CHINA Information SciencesDPCN: Enabling Efficient Multi-Agent Path Finding via Decentralized-Planning-Centralized-Negotiation Paradigm
- SIGIR (T1)Enhancing New-item Fairness in Dynamic Recommender Systems
- Asia Simulation ConferenceLearning to Optimize Capacity Planning in Semiconductor Manufacturing
- MLLMs, and Beyond: Methods, Theories, Applications and Opportunities, ACM Computing SurveysModel Merging in LLMs
- WWW (T1)Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation
- OmegaMulti-period fourth-party logistics network design with promised service time and regret behavior
- AAAI (T1)Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
- KDD Datasets and Benchmarks TrackRL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
202421 papers
- AAMAS (T1)2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem
- —40th IEEE International Conference on Data Engineering (ICDE)
- NeurIPS (T1)Collaboration! Towards Robust Neural Methods for Routing Problems
- SIGIR (T1)Configurable Fairness for New Item Recommendation Considering Entry Time of Items
- IEEE Transactions on CommunicationsCooperative Relaying for Tunnel Construction Site Communication Networks with Hybrid Hierarchical Proximal Policy Optimization
- Information SciencesCross-Domain Continual Learning via CLAMP
- TNNLS (T1)Decision-making with Speculative Opponent Models
- ICLR (T1)Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
- IEEE Transactions on Wireless CommunicationsDiffusion-based Deep Reinforcement Learning for Resource Management in Connected Construction Equipment Networks: A Hierarchical Framework
- ACM SIGKDD International Conference on Knowledge Discovery and Data MiningDisentangled Multi-interest Representation Learning for Sequential Recommendation
- AAAI (T1)Enhancing Job Recommendation through LLM-based Generative Adversarial Networks
- International Journal of Production EconomicsGreen fourth-party logistics network design under carbon cap-and-trade policy
202315 papers
- TOISA Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals
- ACM Recommender Systems ConferenceDisentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction
- NeurIPS (T1)Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift
- —IEEE Transactions on Intelligent Transportation Systems (TITS)
- TNNLS (T1)Learning Feature Embedding Refiner for Solving Vehicle Routing Problems
- TKDE (T1)Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling
- TOISMeta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System
- UAI (T1)Multi-View Graph Contrastive Learning for Solving Vehicle Routing Problems
- ICDE (T1)Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams
- TNNLS (T1)Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration
- ACM Transactions on Recommender SystemsSelfCF: A Simple Framework for Self-supervised Collaborative Filtering
- TKDE (T1)Single-site Perishable Inventory Management under Uncertainties: A Deep Reinforcement Learning Approach
Where alumni went35 listed
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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