Liang Wang
Hi! I am Liang Wang, a PhD student at Institute of Automation, Chinese Academy of Sciences (CASIA). I am a member of CRIPAC and advised by Liang Wang, Shu Wu, and Qiang Liu. Previously, I received a B.E. in Software Engineering from Tongji University.
Github / Google Scholar / Email
Research Interests
Education
PhD
at Institute of Automation, Chinese Academy of Sciences
2023 - 2026, expected
Master
at Institute of Automation, Chinese Academy of Sciences
2021 - 2023
Bachelor
at Tongji University
2017 - 2021
Publications
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection
Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang
WWW 2024 CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction
Liang Wang, Hao Fu, Shu Wu, Qiang Liu, Shu Wu, Xuelei Tan, Fangsheng Huang, Mengdi Zhang, Wei Wu
SDM 2024 Rethinking Graph Masked Autoencoders through Alignment and Uniformity
Liang Wang*, Xiang Tao*, Qiang Liu, Shu Wu, Liang Wang
AAAI 2024 Paper Code Poster GSLB: The Graph Structure Learning Benchmark
Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu
NeurIPS 2023 Paper Code Personalized Interest Sustainability Modeling for Sequential POI Recommendation
Zewen Long*, Liang Wang*, Qiang Liu, Shu Wu
CIKM 2023 Paper
Projects
PyGCL
An easy-to-use library for graph contrastive learning with PyTorch. It implements a wide variety of contrastive objectives, data augmentations, contrasting modes and other utilities useful for implementing and evaluating contrastive learning on graphs.
GSLB
An open-source library built for easy implementation and evaluation of graph structure learning model family. It offers a versatile control of graph dataset laoding, structure learners, structure processors, and a bunch of reproduced models.