Zhenguang Liu
Scholar

Zhenguang Liu

Google Scholar ID: OP2ySB8AAAAJ
Zhejiang University
BlockchainSmart Contract SecurityMultimedia
Citations & Impact
All-time
Citations
5,672
 
H-index
33
 
i10-index
72
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • Published multiple papers, including:
  • - Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion, IJCAI 2021
  • - Deep Dual Consecutive Network for Human Pose Estimation, CVPR 2021
  • - Aggregated Multi-GANs for Controlled 3D Human Motion Prediction, AAAI 2021
  • - Interactive Rare-Category-of-Interest Mining from Large Datasets, AAAI 2020
  • - Smart Contract Vulnerability Detection using Graph Neural Network, IJCAI 2020
  • - Zero-Shot Multi-View Indoor Localization via Graph Location Networks, ACM Multimedia 2020
  • - Towards Natural and Accurate Future Motion Prediction of Humans and Animals, CVPR 2019
  • - Multi-Level Fusion based Class-aware Attention Model for Weakly Labeled Audio Tagging, ACM MM 2019
  • - Multi-Modal Multi-Task Learning for Automatic Dietary Assessment, AAAI 2018
  • - NAIS: Neural Attentive Item Similarity Model for Recommendation, TKDE 2018
  • - Multiview and Multimodal Pervasive Indoor Localization, ACM MM 2017
  • - Fusion of Magnetic and Visual Sensors for Indoor Localization: Infrastructure-Free and More Effective, TMM 2017
  • - Towards Personalized Activity Level Prediction in Community Question Answering Websites, TOMM 2019
Research Experience
  • Worked as a postdoctoral fellow at the School of Computing, National University of Singapore (NUS), supervised by Prof. Chua Tat Seng and Prof. Roger Zimmermann; also worked as a research fellow at A*STAR (Singapore's Agency for Science, Technology, and Research) and National University of Singapore.
Education
  • Received B.E. degree from Shandong University in 2010 and Ph.D. degree from Zhejiang University in 2015.
Background
  • Research interests include multimedia data analysis, deep learning, and blockchain.
Miscellany
  • Served as a program committee member for several international conferences, including ACM MM, IJCAI, AAAI, CVPR, ICCV, etc.