Search Results for author: Wang Zhang

Found 9 papers, 5 papers with code

A Light-weight Transformer-based Self-supervised Matching Network for Heterogeneous Images

no code implementations30 Apr 2024 Wang Zhang, TingTing Li, Yuntian Zhang, Gensheng Pei, Xiruo Jiang, Yazhou Yao

Nevertheless, annotated data is frequently limited in the field of remote sensing image matching.

Graphs Generalization under Distribution Shifts

no code implementations25 Mar 2024 Qin Tian, Wenjun Wang, Chen Zhao, Minglai Shao, Wang Zhang, Dong Li

Traditional machine learning methods heavily rely on the independent and identically distribution assumption, which imposes limitations when the test distribution deviates from the training distribution.

Attribute Graph Learning

Next-Generation Simulation Illuminates Scientific Problems of Organised Complexity

no code implementations18 Jan 2024 Cheng Wang, Chuwen Wang, Wang Zhang, Shirong Zeng, Yu Zhao, Ronghui Ning, Changjun Jiang

SBS represents a higher level of paradigms integration based on foundational models to simulate complex systems, such as social systems involving sophisticated human strategies and behaviours.

Weather Forecasting

One step closer to unbiased aleatoric uncertainty estimation

1 code implementation16 Dec 2023 Wang Zhang, Ziwen Ma, Subhro Das, Tsui-Wei Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen

Neural networks are powerful tools in various applications, and quantifying their uncertainty is crucial for reliable decision-making.

Decision Making

ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction

1 code implementation11 Feb 2023 Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen

Deep neural networks (DNN) have shown great capacity of modeling a dynamical system; nevertheless, they usually do not obey physics constraints such as conservation laws.

Contrastive Learning

Representation Learning on Heterostructures via Heterogeneous Anonymous Walks

1 code implementation18 Jan 2022 Xuan Guo, Pengfei Jiao, Ting Pan, Wang Zhang, Mengyu Jia, Danyang Shi, Wenjun Wang

Capturing structural similarity has been a hot topic in the field of network embedding recently due to its great help in understanding the node functions and behaviors.

Network Embedding

Tactics on Refining Decision Boundary for Improving Certification-based Robust Training

no code implementations29 Sep 2021 Wang Zhang, Lam M. Nguyen, Subhro Das, Pin-Yu Chen, Sijia Liu, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng

In verification-based robust training, existing methods utilize relaxation based methods to bound the worst case performance of neural networks given certain perturbation.

Robust Deep Reinforcement Learning through Adversarial Loss

2 code implementations NeurIPS 2021 Tuomas Oikarinen, Wang Zhang, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng

To address this issue, we propose RADIAL-RL, a principled framework to train reinforcement learning agents with improved robustness against $l_p$-norm bounded adversarial attacks.

Adversarial Attack Atari Games +3

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