| 2025 | SC | StraGCN: GPU-Accelerated Strassen's Sparse-Dense Matrix Multiplication for Graph Convolutional Network Training. | Weidong He, Haikun Liu, Zhuohui Duan, Xiaofei Liao, Shuhao Zhang, Fubing Mao, Hai Jin |
| 2024 | COLING | MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction. | Weihao Zhao, Weidong He, Hao Wang, Haoyang Bi, Han Wu, Chen Zhu, Tong Xu, Enhong Chen |
| 2023 | AAAI | BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning. | Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu |
| 2022 | KSEM | Low-Quality itDanMu Detection via Eye-Tracking Patterns. | Xiangyang Liu, Weidong He, Tong Xu, Enhong Chen |
| 2021 | EMNLP | Label-Enhanced Hierarchical Contextualized Representation for Sequential Metaphor Identification. | Shuqun Li, Liang Yang, Weidong He, Shiqi Zhang, Jingjie Zeng, Hongfei Lin |
| 2021 | ICASSP | Gating Feature Dense Network for Single Anisotropic Mr Image Super-Resolution. | Weidong He, Yangjinan Hu, Lulu Wang, Zhongshi He, Jinglong Du |
| 2021 | IJCAI | DeepME: Deep Mixture Experts for Large-scale Image Classification. | Ming He, Guangyi Lv, Weidong He, Jianping Fan, Guihua Zeng |
| 2019 | PAKDD | Gossiping the Videos: An Embedding-Based Generative Adversarial Framework for Time-Sync Comments Generation. | Guangyi Lv, Tong Xu, Qi Liu, Enhong Chen, Weidong He, Mingxiao An, Zhongming Chen |