Wenzhe Li
12 papers · 2016–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Mega-Team Β· Squad
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
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Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Reinforcement Learning
(5)
Deep Learning
(4)
Applications
(4)
Methods
(4)
Mathematics & Optimization
(3)
Core AI
(3)
Learning Types
(3)
Optimization & Theory
(3)
Bayesian & Probabilistic
(2)
Models
(2)
Optimization
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Keywords
offline reinforcement learning
(4)
large language model
(2)
policy optimization
(2)
reinforcement learning
(1)
data augmentation
(1)
variational inference
(1)
statistical inference
(1)
text classification
(1)
hierarchical learning
(1)
mathematical reasoning
(1)
general agents
(1)
text summarization
(1)
supervised learning
(1)
instruction following
(1)
community detection
(1)
robustness
(1)
image denoising
(1)
markov chain monte carlo
(1)
importance sampling
(1)
langevin dynamics
(1)
Papers
AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following
ACL 2026
MATH-Perturb: Benchmarking LLMsβ Math Reasoning Abilities against Hard Perturbations
ICML 2025
Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games
ICML 2025
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
ICML 2024
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery
AAAI 2023
Improving Graph-Based Text Representations with Character and Word Level N-grams
AACL 2022
LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning
NeurIPS 2022
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL
ICLR 2022
Estimating High Order Gradients of the Data Distribution by Denoising
NeurIPS 2021
Offline Reinforcement Learning with Reverse Model-based Imagination
NeurIPS 2021
Tractable computation of expected kernels
UAI 2021
Scalable MCMC for Mixed Membership Stochastic Blockmodels
AISTATS 2016