Hongyu Zang
14 papers · 2019–2025 · 8 venues · across top CS/AI venues
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Machine Learning
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Deep Learning
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Reinforcement Learning
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Artificial Intelligence
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representation learning
(4)
latent representation
(3)
text generation
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offline reinforcement learning
(3)
reinforcement learning
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state representation
(2)
variational inference
(1)
wavelet transform
(1)
robotic manipulation
(1)
self-supervised learning
(1)
constraint satisfaction
(1)
game artificial intelligence
(1)
deep learning
(1)
behavior cloning
(1)
value iteration
(1)
information bottleneck
(1)
value function
(1)
time series forecasting
(1)
markov decision process
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robustness
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Papers
Learning Fused State Representations for Control from Multi-View Observations
ICML 2025
Learning Latent Dynamic Robust Representations for World Models
ICML 2024
Behavior Prior Representation learning for Offline Reinforcement Learning
ICLR 2023
Principled Offline RL in the Presence of Rich Exogenous Information
ICML 2023
Representation Learning in Deep RL via Discrete Information Bottleneck
AISTATS 2023
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning
NeurIPS 2023
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series
AAAI 2023
Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning
NeurIPS 2022
SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning
AAAI 2022
Homophonic Pun Generation with Lexically Constrained Rewriting
EMNLP 2020
Routing Enforced Generative Model for Recipe Generation
EMNLP 2020
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal
AAAI 2020
Automated Chess Commentator Powered by Neural Chess Engine
ACL 2019
A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment
IJCAI 2019