Stephan Zheng
13 papers · 2016–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π Cross-Pollinator (8)
π
Cross-Pollinator
(8)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(40)
π±
Topic Pioneer
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Grand Slam
π
Triple Crown
π
Century Club
(13)
ποΈ
Keyword Collector
(68)
π
Trend Setter
Conferences
ICML (4)
NIPS (3)
ACL (2)
AAAI (1)
CVPR (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
multiresolution learning
(2)
reinforcement learning
(2)
bounded rationality
(1)
causal reasoning
(1)
neural network optimization
(1)
natural language generation
(1)
trajectory prediction
(1)
rademacher complexity
(1)
feature embedding
(1)
adversarial training
(1)
response generation
(1)
tensor decomposition
(1)
hierarchical reinforcement learning
(1)
parallel computing
(1)
imitation learning
(1)
distributed training
(1)
image processing
(1)
spatiotemporal modeling
(1)
missing value imputation
(1)
multi-agent reinforcement learning
(1)
Papers
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
ICML 2025
Position: Social Environment Design Should be Further Developed for AI-based Policy-Making
ICML 2024
Learning to Play General-Sum Games against Multiple Boundedly Rational Agents
AAAI 2023
WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU
JMLR 2022
ESPRIT: Explaining Solutions to Physical Reasoning Tasks
ACL 2020
Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework
ACL 2020
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
ICML 2020
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation
NIPS 2019
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
NIPS 2019
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
ICLR 2019
On the Generalization Gap in Reparameterizable Reinforcement Learning
ICML 2019
Improving the Robustness of Deep Neural Networks via Stability Training
CVPR 2016
Generating Long-term Trajectories Using Deep Hierarchical Networks
NIPS 2016