Wee Sun Lee
Professor
Works on machine learning, planning under uncertainty and approximate inference, including learning to decompose reasoning for LLMs.
Wee Sun Lee's lab at NUS works on probabilistic & causal inference, efficient training & inference and reasoning & agents. 24 papers since 2023, 20 at top venues, mostly ICLR and NeurIPS. 8 PhD students. 20 alumni. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 83%
- PhD students
- 8
- MS students
- 0
- alumni listed
- 20
Papers by yearfrom DBLP, 2023–2026
- 3 papers2026 · T1 3 · collecting
- 7 papers2025 · T1 6
- 7 papers2024 · T1 5
- 7 papers2023 · T1 6
T1 venuesOtherVenues: ICLR, NeurIPS, ACL, ICML, AAMAS
Research focuspaper titles that use each topic's words
- Reasoning & agents3 papers
- Efficient training & inference2 papers
- Probabilistic & causal inference1 paper
- approximate inference0 papers
- approximate0 papers
Paper list
From DBLP.
20263 papers
20257 papers
- NeurIPS (T1)Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions (opens in a new tab)
- ICML (T1)Continual Reinforcement Learning by Planning with Online World Models (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.KeYric: Unsupervised Keywords Extraction and Expansion from Music for Coherent Lyrics Generation (opens in a new tab)
- ICLR (T1)Learning to Search from Demonstration Sequences (opens in a new tab)
- NeurIPS (T1)Optimizing Anytime Reasoning via Budget Relative Policy Optimization (opens in a new tab)
- ICML (T1)SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy (opens in a new tab)
- NeurIPS (T1)Solving the Asymmetric Traveling Salesman Problem via Trace-Guided Cost Augmentation (opens in a new tab)
20247 papers
- CVPR (T1)Constrained Layout Generation with Factor Graphs (opens in a new tab)
- CIKM (T1)Efficient Global Message Passing for Heterophilous Graphs (opens in a new tab)
- ACMLEVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning (opens in a new tab)
- KDD (T1)Hierarchical Neural Constructive Solver for Real-world TSP Scenarios (opens in a new tab)
- ICLR (T1)Locality Sensitive Sparse Encoding for Learning World Models Online (opens in a new tab)
- Findings of EMNLPOn the Empirical Complexity of Reasoning and Planning in LLMs (opens in a new tab)
- ACL (T1)When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models (opens in a new tab)
20237 papers
- ICRA (T1)Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement (opens in a new tab)
- ICLR (T1)Efficient Offline Policy Optimization with a Learned Model (opens in a new tab)
- AAMAS (T1)ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search (opens in a new tab)
- JMLR (T1)Factor Graph Neural Networks (opens in a new tab)
- NeurIPS (T1)Large Language Models as Commonsense Knowledge for Large-Scale Task Planning (opens in a new tab)
- Findings of EACLLightweight Spatial Modeling for Combinatorial Information Extraction From Documents (opens in a new tab)
- ACL (T1)Tell2Design: A Dataset for Language-Guided Floor Plan Generation (opens in a new tab)
Where alumni went20 listed
Apply to NUSFall 2027
School of Computing PhD in Computer Science
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- USUT Austin
Radu Marculescu
- Trustworthy & safe ML
- USUT Austin
Haris Vikalo
- Trustworthy & safe ML
- USCMU
Artur W. Dubrawski
- Recognition, detection & segmentation
- USNYU
Andrew Gordon Wilson
- Probabilistic & causal inference
- CNTsinghua
Yanyan Lan
- Recommendation, search & web
- CNTsinghua
Andrew Chi-Chih Yao
- Reasoning & neuro-symbolic AI
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- DBLP
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
NUScloses