Stephan Zheng
13 papers · 2016–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (39) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Renaissance Researcher
(5)
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Century Club Β· Bronze
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(83)
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Research topics
Machine Learning
(8)
Artificial Intelligence
(7)
Deep Learning
(7)
Core AI
(7)
Learning Types Β· Deep Learning
(6)
Reinforcement Learning
(5)
Learning Types Β· Machine Learning
(5)
Methods
(4)
Applications
(3)
Core Methods
(3)
Optimization & Theory
(3)
Models
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Keywords
reinforcement learning
(3)
multi-resolution learning
(2)
multi-agent reinforcement learning
(2)
trajectory generation
(2)
spatio-temporal modeling
(1)
natural language generation
(1)
bounded rationality
(1)
feature embedding
(1)
causal reasoning
(1)
adversarial training
(1)
trajectory prediction
(1)
neural network optimization
(1)
tensor decomposition
(1)
hierarchical reinforcement learning
(1)
hierarchical model
(1)
parallel computing
(1)
rademacher complexity
(1)
distributed training
(1)
image processing
(1)
response generation
(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
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
ICML 2020
Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework
ACL 2020
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
ICLR 2019
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
NeurIPS 2019
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation
NeurIPS 2019
On the Generalization Gap in Reparameterizable Reinforcement Learning
ICML 2019
Generating Long-term Trajectories Using Deep Hierarchical Networks
NeurIPS 2016
Improving the Robustness of Deep Neural Networks via Stability Training
CVPR 2016