Wenzhe Li
13 papers · 2016–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(9)
🐣
Hot Topic Early Bird
🏆
Grand Slam
💎
Century Club
(12)
🔥
Unstoppable
(5)
Conferences
ICML (3)
NIPS (3)
AAAI (1)
AACL (1)
ACL (1)
AISTATS (1)
ICLR (1)
IJCNLP (1)
UAI (1)
Top co-authors
Keywords
offline reinforcement learning
(3)
text classification
(2)
graph neural network
(2)
text summarization
(2)
heterogeneous graph
(2)
variational inference
(1)
policy optimization
(1)
reinforcement learning
(1)
graph representation learning
(1)
attention mechanism
(1)
data augmentation
(1)
statistical inference
(1)
text representation
(1)
instruction following
(1)
markov chain monte carlo
(1)
image denoising
(1)
community detection
(1)
importance sampling
(1)
continuous control
(1)
hierarchical learning
(1)
Papers
AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following
ACL 2026
MATH-Perturb: Benchmarking LLMs’ 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
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL
ICLR 2022
LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning
NIPS 2022
Improving Graph-Based Text Representations with Character and Word Level N-grams
AACL 2022
Improving Graph-Based Text Representations with Character and Word Level N-grams
IJCNLP 2022
Offline Reinforcement Learning with Reverse Model-based Imagination
NIPS 2021
Tractable computation of expected kernels
UAI 2021
Estimating High Order Gradients of the Data Distribution by Denoising
NIPS 2021
Scalable MCMC for Mixed Membership Stochastic Blockmodels
AISTATS 2016