Yixuan Wang
35 papers · 2021–2026 · 12 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 29% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yixuan Wang?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Qi Zhu, Chao Huang, Qingyuan Wu
9 papers
· 2021–2026
· ICML, L4DC, ICLR
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Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping
L4DC 2026
Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems
ICLR 2025
Directly Forecasting Belief for Reinforcement Learning with Delays
ICML 2025
Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays
ICML 2024
REGLO: Provable Neural Network Repair for Global Robustness Properties
AAAI 2024
State-wise safe reinforcement learning with pixel observations
L4DC 2024
Variational Delayed Policy Optimization
NeurIPS 2024
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments
ICML 2023
Weak Adaptation Learning: Addressing Cross-Domain Data Insufficiency With Weak Annotator
ICCV 2021
7 papers whose co-authors appear nowhere else under this name
AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment
ACL 2026
Time-aware Motion Planning in Dynamic Environments with Conformal Prediction
L4DC 2026
DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning
RSS 2025
Logical forms complement probability in understanding language model (and human) performance
ACL 2025
HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection
NeurIPS 2024
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
NeurIPS 2024
Delving into Evaluation Metrics for Generation: A Thorough Assessment of How Metrics Generalize to Rephrasing Across Languages
AACL 2023