Jianda Chen
9 papers · 2018–2025 · 7 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(25)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Deep Learning
(4)
Reinforcement Learning
(4)
Core AI
(4)
Core Methods
(4)
Methods
(4)
Applications · Reinforcement Learning
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Natural Language Processing
(2)
Application Areas
(2)
Knowledge & Reasoning
(1)
Applications · Natural Language Processing
(1)
Architectures
(1)
Keywords
deep reinforcement learning
(4)
representation learning
(3)
reinforcement learning
(3)
metric learning
(2)
deep hashing
(1)
embedding space
(1)
visual observation
(1)
generative model
(1)
information retrieval
(1)
temporal information
(1)
partially observable
(1)
gradient attention
(1)
markov decision process
(1)
gradient descent
(1)
temporal learning
(1)
state representation
(1)
temporal reasoning
(1)
knowledge graph
(1)
image retrieval
(1)
model compression
(1)
Papers
Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts
ACL 2025
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
NeurIPS 2024
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs
EMNLP 2024
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities
ICLR 2022
Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning
NeurIPS 2022
Sequential Generative Exploration Model for Partially Observable Reinforcement Learning
AAAI 2021
Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning
NeurIPS 2020
Accelerate Learning of Deep Hashing With Gradient Attention
ICCV 2019
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning
IJCAI 2018