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Wang Zhang
Joined
May 2021
Names
Wang Zhang
(Preferred)
,
WANG ZHANG
Emails
****@mit.edu
(Confirmed)
,
****@gmail.com
(Confirmed)
Personal Links
LinkedIn
Career & Education History
PhD student
Massachusetts Institute of Technology
(mit.edu)
2020
–
2025
MS student
Massachusetts Institute of Technology
(mit.edu)
2017
–
2020
Undergrad student
Tsinghua University, Tsinghua University
(tsinghua.edu.cn)
2013
–
2017
Advisors, Relations & Conflicts
PhD Advisor
Luca Daniel
2020
–
Present
Expertise
No areas of expertise listed
Publications
Guaranteeing Conservation of Integrals with Projection in Physics-Informed Neural Networks
Anthony Baez
,
Wang Zhang
,
Ziwen Ma
,
Subhro Das
,
Lam M. Nguyen
,
Luca Daniel
Submitted to ICLR 2026
Readers:
Everyone
Contrastive Meta Learning for Dynamical Systems
Wang Zhang
,
Ziwen Ma
,
Subhro Das
,
Lam M. Nguyen
,
Luca Daniel
Submitted to ICLR 2025
Readers:
Everyone
Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks
Anthony Baez
,
Wang Zhang
,
Ziwen Ma
,
Subhro Das
,
Lam M. Nguyen
,
Luca Daniel
D3S3 2024 Poster
Readers:
Everyone
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction
Wang Zhang
,
Tsui-Wei Weng
,
Subhro Das
,
Alexandre Megretski
,
Luca Daniel
,
Lam M. Nguyen
ICML 2023 Poster
Readers:
Everyone
On the Fast Convergence of Unstable Reinforcement Learning Problems
Wang Zhang
,
Lam M. Nguyen
,
Subhro Das
,
Alexandre Megretski
,
Luca Daniel
,
Tsui-Wei Weng
Published: 01 Feb 2023, Last Modified: 13 Feb 2023
Submitted to ICLR 2023
Readers:
Everyone
Imposing conservation properties in deep dynamics modeling via contrastive learning
Wang Zhang
,
Subhro Das
,
Tsui-Wei Weng
,
Alexandre Megretski
,
Luca Daniel
,
Lam M. Nguyen
Published: 01 Feb 2023, Last Modified: 13 Feb 2023
Submitted to ICLR 2023
Readers:
Everyone
Fast Convergence for Unstable Reinforcement Learning Problems by Logarithmic Mapping
Wang Zhang
,
Lam M. Nguyen
,
Subhro Das
,
Alexandre Megretski
,
Luca Daniel
,
Tsui-Wei Weng
28 May 2022 (modified: 05 May 2023)
DARL 2022
Readers:
Everyone
Tactics on Refining Decision Boundary for Improving Certification-based Robust Training
Wang Zhang
,
Lam M. Nguyen
,
Subhro Das
,
Pin-Yu Chen
,
Sijia Liu
,
Alexandre Megretski
,
Luca Daniel
,
Tsui-Wei Weng
Published: 28 Jan 2022, Last Modified: 13 Feb 2023
ICLR 2022 Submitted
Readers:
Everyone
Robust Deep Reinforcement Learning through Adversarial Loss
Tuomas Oikarinen
,
Wang Zhang
,
Alexandre Megretski
,
Luca Daniel
,
Tsui-Wei Weng
Published: 09 Nov 2021, Last Modified: 22 Oct 2023
NeurIPS 2021 Poster
Readers:
Everyone
Co-Authors
Alexandre Megretski
Anthony Baez
Lam M. Nguyen
Luca Daniel
Pin-Yu Chen
Sijia Liu
Subhro Das
Tsui-Wei Weng
Tuomas Oikarinen
Ziwen Ma