Mengdi Xu
15 papers · 2020–2024 · 12 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (8)
🌉
Interdisciplinary Bridge
🤝
Dynamic Duo
(13)
🗃️
Keyword Collector
(71)
❓
The Questioner
(3)
⚡
Prolific Year
(9)
💎
Century Club
(15)
Conferences
NIPS (3)
CORL (2)
ACL (1)
AISTATS (1)
EACL (1)
EMNLP (1)
ICLR (1)
ICML (1)
IJCAI (1)
JMLR (1)
NAACL (1)
UAI (1)
Top co-authors
Keywords
optimal transport
(4)
domain adaptation
(3)
offline reinforcement learning
(2)
sample efficiency
(2)
multimodal learning
(2)
multi-task learning
(1)
imitation learning
(1)
reinforcement learning
(1)
online learning
(1)
visual observation
(1)
zero-shot learning
(1)
sim-to-real transfer
(1)
variational inference
(1)
transfer learning
(1)
causal discovery
(1)
sentiment analysis
(1)
few-shot learning
(1)
continual learning
(1)
sequence modeling
(1)
representation learning
(1)
Papers
Embodied Executable Policy Learning with Language-based Scene Summarization
NAACL 2024
Functional optimal transport: regularized map estimation and domain adaptation for functional data
JMLR 2024
Continual Vision-based Reinforcement Learning with Group Symmetries
CORL 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery
CORL 2023
SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment
ACL 2023
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
AISTATS 2023
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?
EACL 2023
Can Brain Signals Reveal Inner Alignment with Human Languages?
EMNLP 2023
Hyper-Decision Transformer for Efficient Online Policy Adaptation
ICLR 2023
A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning
UAI 2023
Adaptive Online Replanning with Diffusion Models
NIPS 2023
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
IJCAI 2022
Prompting Decision Transformer for Few-Shot Policy Generalization
ICML 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
NIPS 2022
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
NIPS 2020