Mengdi Xu

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All published works
Action Title Year Authors
+ PDF Chat Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications 2024 Xilun Zhang
Shiqi Liu
Peide Huang
Wei Han
Y. F. Lyu
Mengdi Xu
Ding Zhao
+ PDF Chat Embodied Executable Policy Learning with Language-based Scene Summarization 2024 Jielin Qiu
Mengdi Xu
William Han
Seungwhan Moon
Ding Zhao
+ Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation 2023 Jielin Qiu
Jiacheng Zhu
Mengdi Xu
Peide Huang
Michael Rosenberg
Douglas J. Weber
Emerson Liu
Ding Zhao
+ Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? 2023 Jielin Qiu
William Han
Jiacheng Zhu
Mengdi Xu
Michael Rosenberg
Emerson Liu
Douglas J. Weber
Ding Zhao
+ Hyper-Decision Transformer for Efficient Online Policy Adaptation 2023 Mengdi Xu
Yuchen Lu
Yikang Shen
Shun Zhang
Ding Zhao
Chuang Gan
+ Embodied Executable Policy Learning with Language-based Scene Summarization 2023 Jielin Qiu
Mengdi Xu
William Han
Seungwhan Moon
Ding Zhao
+ What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery 2023 Peide Huang
Xilun Zhang
Ziang Cao
Shiqi Liu
Mengdi Xu
Wenhao Ding
Jonathan Francis
Bingqing Chen
Ding Zhao
+ Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? 2023 Jielin Qiu
William Han
Jiacheng Zhu
Mengdi Xu
Michael Rosenberg
Emerson Liu
Douglas J. Weber
Ding Zhao
+ Guardians as You Fall: Active Mode Transition for Safe Falling 2023 Yikai Wang
Mengdi Xu
Guanya Shi
Ding Zhao
+ Adaptive Online Replanning with Diffusion Models 2023 Siyuan Zhou
Yilun Du
Shun Zhang
Mengdi Xu
Yikang Shen
Xiao Wei
Dit‐Yan Yeung
Chuang Gan
+ Creative Robot Tool Use with Large Language Models 2023 Mengdi Xu
Peide Huang
Wenhao Yu
Shiqi Liu
Xilun Zhang
Yaru Niu
Tingnan Zhang
Fei Xia
Jie Tan
Ding Zhao
+ Can Brain Signals Reveal Inner Alignment with Human Languages? 2023 Jielin Qiu
William Han
Jiacheng Zhu
Mengdi Xu
Douglas J. Weber
Bo Li
Ding Zhao
+ PDF Chat Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling 2022 Mengdi Xu
Peide Huang
Fengpei Li
Jiacheng Zhu
Xuewei Qi
Kentaro Oguchi
Zhiyuan Huang
Henry Lam
Ding Zhao
+ PDF Chat Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training 2022 Peide Huang
Mengdi Xu
Fei Fang
Ding Zhao
+ MHMS: Multimodal Hierarchical Multimedia Summarization 2022 Jielin Qiu
Jiacheng Zhu
Mengdi Xu
Franck Dernoncourt
Trung Bui
Zhaowen Wang
Bo Li
Ding Zhao
Hailin Jin
+ Prompting Decision Transformer for Few-Shot Policy Generalization 2022 Mengdi Xu
Yikang Shen
Shun Zhang
Yuchen Lu
Ding Zhao
Joshua B. Tenenbaum
Chuang Gan
+ Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training 2022 Peide Huang
Mengdi Xu
Fei Fang
Ding Zhao
+ Can Brain Signals Reveal Inner Alignment with Human Languages? 2022 William Han
Jielin Qiu
Jiacheng Zhu
Mengdi Xu
Douglas J. Weber
Bo Li
Ding Zhao
+ Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability 2022 Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Bo Li
Ding Zhao
+ Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment 2022 Jielin Qiu
Jiacheng Zhu
Mengdi Xu
Franck Dernoncourt
Trung Bui
Zhaowen Wang
Bo Li
Ding Zhao
Hailin Jin
+ Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation 2022 Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
+ Continual Vision-based Reinforcement Learning with Group Symmetries 2022 Shiqi Liu
Mengdi Xu
Piede Huang
Yongkang Liu
Kentaro Oguchi
Ding Zhao
+ Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables 2022 Mengdi Xu
Peide Huang
Yaru Niu
Visak Kumar
Jielin Qiu
Chao Fang
Kuan‐Hui Lee
Xuewei Qi
Henry Lam
Bo Li
+ PDF Chat Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling 2021 Mengdi Xu
Peide Huang
Fengpei Li
Jiacheng Zhu
Xuewei Qi
Kentaro Oguchi
Zhiyuan Huang
Henry Lam
Ding Zhao
+ PDF Chat Context-Aware Safe Reinforcement Learning for Non-Stationary Environments 2021 Baiming Chen
Zuxin Liu
Jiacheng Zhu
Mengdi Xu
Wenhao Ding
Liang Li
Ding Zhao
+ PDF Chat Delay-aware model-based reinforcement learning for continuous control 2021 Baiming Chen
Mengdi Xu
Liang Li
Ding Zhao
+ PDF Chat The Graded Priming Effect of Semantic Radical on Chinese Character Recognition 2021 Xiuhong Tong
Mengdi Xu
Jing Zhao
Liyan Yu
+ Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data. 2021 Jiacheng Zhu
Aritra Guha
Mengdi Xu
Yingchen Ma
Rayleigh Lei
Vincenzo Loffredo
XuanLong Nguyen
Ding Zhao
+ Context-Aware Safe Reinforcement Learning for Non-Stationary Environments 2021 Baiming Chen
Zuxin Liu
Jiacheng Zhu
Mengdi Xu
Wenhao Ding
Ding Zhao
+ Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling 2021 Mengdi Xu
Peide Huang
Fengpei Li
Jiacheng Zhu
Xuewei Qi
Kentaro Oguchi
Zhiyuan Huang
Henry Lam
Ding Zhao
+ Functional optimal transport: map estimation and domain adaptation for functional data 2021 Jiacheng Zhu
Aritra Guha
Dat Do
Mengdi Xu
XuanLong Nguyen
Ding Zhao
+ PDF Chat Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition 2020 Wentai Lei
Mengdi Xu
Feifei Hou
Wensi Jiang
Chiyu Wang
Ye Zhao
Tiankun Xu
Yan Li
Yumei Zhao
Wenjun Li
+ Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes 2020 Mengdi Xu
Wenhao Ding
Jiacheng Zhu
Zuxin Liu
Baiming Chen
Ding Zhao
+ Delay-Aware Multi-Agent Reinforcement Learning. 2020 Baiming Chen
Mengdi Xu
Zuxin Liu
Liang Li
Ding Zhao
+ PDF Chat CMTS: A Conditional Multiple Trajectory Synthesizer for Generating Safety-Critical Driving Scenarios 2020 Wenhao Ding
Mengdi Xu
Ding Zhao
+ Delay-Aware Model-Based Reinforcement Learning for Continuous Control 2020 Baiming Chen
Mengdi Xu
Liang Li
Ding Zhao
+ Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments 2020 Baiming Chen
Mengdi Xu
Zuxin Liu
Liang Li
Ding Zhao
+ Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition 2020 Wentai Lei
Mengdi Xu
Feifei Hou
Wensi Jiang
+ Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes 2020 Mengdi Xu
Wenhao Ding
Jiacheng Zhu
Zuxin Liu
Baiming Chen
Ding Zhao
+ CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios 2019 Wenhao Ding
Mengdi Xu
Ding Zhao
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Continuous control with deep reinforcement learning 2015 Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
Nicolas Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
5
+ PDF Chat Finite spectrum assignment of unstable time-delay systems with a safe implementation 2003 Sabine Mondié
Wim Michiels
4
+ PDF Chat Domain randomization for transferring deep neural networks from simulation to the real world 2017 Josh Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
4
+ Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes 2020 Mengdi Xu
Wenhao Ding
Jiacheng Zhu
Zuxin Liu
Baiming Chen
Ding Zhao
4
+ Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 2017 Chelsea Finn
Pieter Abbeel
Sergey Levine
4
+ PDF Chat Control of a Quadrotor With Reinforcement Learning 2017 Jemin Hwangbo
Inkyu Sa
Roland Siegwart
Marco Hutter
4
+ Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 2018 Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
4
+ Linear systems with delayed controls: A reduction 1982 Zvi Artstein
4
+ Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models 2018 Kurtland Chua
Roberto Calandra
Rowan McAllister
Sergey Levine
4
+ PDF Chat Reactive Reinforcement Learning in Asynchronous Environments 2018 Jaden B. Travnik
Kory W. Mathewson
Richard S. Sutton
Patrick M. Pilarski
4
+ Recurrent Attentive Neural Process for Sequential Data 2019 Shenghao Qin
Jiacheng Zhu
Jimmy Qin
Wenshuo Wang
Ding Zhao
4
+ Finite spectrum assignment problem for systems with delays 1979 A. Manitius
A.W. Olbrot
4
+ PDF Chat Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation 2021 Wenhao Ding
Baiming Chen
Bo Li
Kim Ji Eun
Ding Zhao
3
+ Autonomous agents modelling other agents: A comprehensive survey and open problems 2018 Stefano V. Albrecht
Peter Stone
3
+ Benchmarking Deep Reinforcement Learning for Continuous Control 2016 Yan Duan
Xi Chen
Rein Houthooft
John Schulman
Pieter Abbeel
3
+ Attention Is All You Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Ɓukasz Kaiser
Illia Polosukhin
3
+ PDF Chat Assistive Gym: A Physics Simulation Framework for Assistive Robotics 2020 Zackory Erickson
Vamsee Gangaram
Ariel Kapusta
C. Karen Liu
Charles C. Kemp
3
+ Attentive Neural Processes 2019 Hyunjik Kim
Andriy Mnih
Jonathan Schwarz
Marta Garnelo
Ali Eslami
Dan Rosenbaum
Oriol Vinyals
Yee Whye Teh
3
+ Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning 2018 Anusha Nagabandi
Ignasi Clavera
Simin Liu
Ronald S. Fearing
Pieter Abbeel
Sergey Levine
Chelsea Finn
3
+ PDF Chat On Unbounded Delays in Asynchronous Parallel Fixed-Point Algorithms 2017 Robert Hannah
Wotao Yin
3
+ Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network 2019 Wenchao Ding
Jing Chen
Shaojie Shen
2
+ Lyapunov-based Safe Policy Optimization for Continuous Control 2019 Yinlam Chow
Ofir Nachum
Aleksandra Faust
Edgar A. Duéñez‐GuzmĂĄn
Mohammad Ghavamzadeh
2
+ Online Vehicle Trajectory Prediction using Policy Anticipation Network and Optimization-based Context Reasoning 2019 Wenchao Ding
Shaojie Shen
2
+ Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. 2018 Jonathan Uesato
Ananya Kumar
Csaba SzepesvĂĄri
Tom Erez
Avraham Ruderman
Keith Anderson
Krishmamurthy
Dvijotham
Nicolas Heess
Pushmeet Kohli
2
+ Constrained Markov Decision Processes 1999 Eitan Altman
2
+ Multiple Instance Learning for ECG Risk Stratification 2018 Divya Shanmugam
Davis Blalock
John V. Guttag
2
+ PDF Chat Learning-Based Model Predictive Control for Safe Exploration 2018 Torsten Koller
Felix Berkenkamp
Matteo Turchetta
Andreas Krause
2
+ Learning agile and dynamic motor skills for legged robots 2019 Jemin Hwangbo
Joonho Lee
Alexey Dosovitskiy
C. Dario Bellicoso
Vassilios Tsounis
Vladlen Koltun
Marco Hutter
2
+ PDF Chat Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation 2006 T. P. Imthias Ahamed
Vivek S. Borkar
S. Juneja
2
+ Fully-Featured Attribute Transfer 2019 De Xie
Muli Yang
Cheng Deng
Wei Liu
Dacheng Tao
2
+ Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions 2018 Tim Sainburg
Marvin Thielk
Bradley H. Theilman
Benjamin Migliori
Timothy Q. Gentner
2
+ BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2018 Jacob Devlin
Ming‐Wei Chang
Kenton Lee
Kristina Toutanova
2
+ ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst 2019 Mayank Bansal
Alex Krizhevsky
Abhijit S. Ogale
2
+ Adversarial Mixup Resynthesizers 2019 Christopher Beckham
Sina Honari
Alex Lamb
Vikas Verma
Farnoosh Ghadiri
R Devon Hjelm
Christopher Pal
2
+ Safe Exploration in Continuous Action Spaces 2018 Gal Dalal
Krishnamurthy Dvijotham
Matej VecerĂ­k
Todd Hester
Cosmin Păduraru
Yuval Tassa
2
+ Domain Separation Networks 2016 Konstantinos Bousmalis
George Trigeorgis
Nathan Silberman
Dilip Krishnan
Dumitru Erhan
2
+ PDF Chat Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers 2017 Ding Zhao
Xianan Huang
Huei Peng
Henry Lam
David J. LeBlanc
2
+ Density estimation using Real NVP 2016 Laurent Dinh
Jascha Sohl‐Dickstein
Samy Bengio
2
+ PDF Chat Gaussian Processes for Data-Efficient Learning in Robotics and Control 2013 Marc Peter Deisenroth
Dieter Fox
Carl Edward Rasmussen
2
+ Deep Neural Networks as Gaussian Processes 2017 Jaehoon Lee
Yasaman Bahri
Roman Novak
Samuel S. Schoenholz
Jeffrey Pennington
Jascha Sohl‐Dickstein
2
+ Meta Reinforcement Learning with Latent Variable Gaussian Processes 2018 SteindĂłr SĂŠmundsson
Katja Hofmann
Marc Peter Deisenroth
2
+ A Markov chain perspective on adaptive Monte Carlo algorithms 2002 Paritosh Y. Desai
Peter W. Glynn
2
+ CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms 2017 Ahmed Elgammal
Bingchen Liu
Mohamed Elhoseiny
Marian Mazzone
2
+ Constrained Policy Optimization 2017 Joshua Achiam
David Held
Aviv Tamar
Pieter Abbeel
2
+ Stochastic Backpropagation and Approximate Inference in Deep Generative Models 2014 Danilo Jimenez Rezende
Shakir Mohamed
Daan Wierstra
2
+ Proximal Policy Optimization Algorithms 2017 John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
2
+ Categorical Reparameterization with Gumbel-Softmax 2016 Eric Jang
Shixiang Gu
Ben Poole
2
+ PDF Chat Adaptive Multilevel Splitting for Rare Event Analysis 2007 Frédéric Cérou
Arnaud Guyader
2
+ Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters. 2018 Wenhao Ding
Wenshuo Wang
Ding Zhao
2
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2