Hongyu Zang

According to our database1, Hongyu Zang authored at least 21 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Towards Control-Centric Representations in Reinforcement Learning from Images.
CoRR, 2023

Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Principled Offline RL in the Presence of Rich Exogenous Information.
Proceedings of the International Conference on Machine Learning, 2023

Behavior Prior Representation learning for Offline Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Representation Learning in Deep RL via Discrete Information Bottleneck.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CHA: Categorical Hierarchy-based Attention for Next POI Recommendation.
ACM Trans. Inf. Syst., 2022

Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning.
CoRR, 2022

Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information.
CoRR, 2022

Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
On improving knowledge graph facilitated simple question answering system.
Neural Comput. Appl., 2021

SimSR: Simple Distance-based State Representation for Deep Reinforcement Learning.
CoRR, 2021

2020
Routing Enforced Generative Model for Recipe Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Homophonic Pun Generation with Lexically Constrained Rewriting.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Semi-Supervised Approach for Low-Resourced Text Generation.
CoRR, 2019

Massive Styles Transfer with Limited Labeled Data.
CoRR, 2019

A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Automated Chess Commentator Powered by Neural Chess Engine.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017
Towards Automatic Generation of Product Reviews from Aspect-Sentiment Scores.
Proceedings of the 10th International Conference on Natural Language Generation, 2017


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