Edwin Zhang
9 papers · 2020–2024 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (24) π Conference Polyglot Β· Silver π§ Keyword Pioneer
π
Triple Crown
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Prolific Year Β· Productive
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Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(4)
Application Areas
(3)
Models
(3)
Artificial Intelligence
(2)
Data Science & Analytics
(2)
Reinforcement Learning
(2)
Applications
(2)
Architectures
(2)
Core AI
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Keywords
information retrieval
(3)
search engine
(3)
neural ranking
(3)
resource allocation
(2)
transfer learning
(1)
domain adaptation
(1)
offline reinforcement learning
(1)
automated planning
(1)
imitation learning
(1)
question answering
(1)
temporal planning
(1)
document retrieval
(1)
policy improvement
(1)
reward function
(1)
performance evaluation
(1)
hierarchical planning
(1)
generative model
(1)
gaussian mixture model
(1)
diffusion model
(1)
autoregressive transformer
(1)
Papers
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health
NeurIPS 2024
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks
ICLR 2024
Position: Social Environment Design Should be Further Developed for AI-based Policy-Making
ICML 2024
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization
IJCAI 2024
Transcendence: Generative Models Can Outperform The Experts That Train Them
NeurIPS 2024
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators
ICML 2023
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
EMNLP 2020
Cydex: Neural Search Infrastructure for the Scholarly Literature
EMNLP 2020
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset
ACL 2020