Qianggang Ding

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 9

Top Topics

Blind Image Deconvolution

Structural Learning

Adaptive Regularization

Top Venues

Publications

Qianggang Ding, Deheng Ye, Tingyang Xu, Peilin Zhao
GPN: A Joint Structural Learning Framework for Graph Neural Networks. CoRR (2022)
Qianggang Ding, Sifan Wu, Tao Dai, Hao Sun, Jiadong Guo, Zhang-Hua Fu, Shutao Xia
Knowledge Refinery: Learning from Decoupled Label. AAAI (2021)
Sifan Wu, Xi Xiao, Qianggang Ding, Peilin Zhao, Ying Wei, Junzhou Huang
Adversarial Sparse Transformer for Time Series Forecasting. NeurIPS (2020)
Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Jian Guo
Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction. IJCAI (2020)
Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang
RetroXpert: Decompose Retrosynthesis Prediction like a Chemist. CoRR (2020)
Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang
RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist. NeurIPS (2020)
Jiawei Li, Shu-Tao Xia, Qianggang Ding
Multi-level Recognition on Falls from Activities of Daily Living. ICMR (2020)
Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Shu-Tao Xia
Adaptive Regularization of Labels. CoRR (2019)
Qianggang Ding, Fan Yang, Jiawei Li, Sifan Wu, Bowen Zhao, Zhi Wang, Shu-Tao Xia
RT-ADI: Fast Real-Time Video Representation for Multi-view Human Fall Detection. ICME Workshops (2019)