RT-ADI: Fast Real-Time Video Representation for Multi-view Human Fall Detection. - Qianggang Ding; Fan Yang; Jiawei Li 006; Sifan Wu; Bowen Zhao 003; Zhi Wang 001; Shu-Tao Xia (ICME Workshops, 2019)

Adaptive Regularization of Labels. - Qianggang Ding; Sifan Wu; Hao Sun; Jiadong Guo; Shu-Tao Xia (CoRR, 2019)

Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction. - Qianggang Ding; Sifan Wu; Hao Sun; Jiadong Guo; Jian Guo (IJCAI, 2020)

Multi-level Recognition on Falls from Activities of Daily Living. - Jiawei Li 006; Shu-Tao Xia; Qianggang Ding (ICMR, 2020)

Adversarial Sparse Transformer for Time Series Forecasting. - Sifan Wu; Xi Xiao; Qianggang Ding; Peilin Zhao; Ying Wei 001; Junzhou Huang (NeurIPS, 2020)

RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist. - Chaochao Yan; Qianggang Ding; Peilin Zhao; Shuangjia Zheng; Jinyu Yang; Yang Yu 010; Junzhou Huang (NeurIPS, 2020)

Knowledge Refinery: Learning from Decoupled Label. - Qianggang Ding; Sifan Wu; Tao Dai 001; Hao Sun; Jiadong Guo; Zhang-Hua Fu; Shutao Xia (AAAI, 2021)

GPN: A Joint Structural Learning Framework for Graph Neural Networks. - Qianggang Ding; Deheng Ye; Tingyang Xu; Peilin Zhao (CoRR, 2022)

TradExpert: Revolutionizing Trading with Mixture of Expert LLMs. - Qianggang Ding; Haochen Shi; Bang Liu (CoRR, 2024)

MatExpert: Decomposing Materials Discovery By Mimicking Human Experts. - Qianggang Ding; Santiago Miret; Bang Liu (ICLR, 2025)

DASFormer: self-supervised pretraining for earthquake monitoring. - Qianggang Ding; Zhichao Shen; Weiqiang Zhu; Bang Liu (Vis. Intell., 2025)