All in a Row: Compressed Convolution Networks for Graphs. - Junshu Sun; Shuhui Wang; Xinzhe Han; Zhe Xue; Qingming Huang (ICML, 2023)

Expanding Sparse Tuning for Low Memory Usage. - Shufan Shen; Junshu Sun; Xiangyang Ji; Qingming Huang; Shuhui Wang (NeurIPS, 2024)

Towards Dynamic Message Passing on Graphs. - Junshu Sun; Chenxue Yang; Xiangyang Ji; Qingming Huang; Shuhui Wang (NeurIPS, 2024)

Scalable Graph Compressed Convolutions. - Junshu Sun; Chenxue Yang; Shuhui Wang; Qingming Huang (CoRR, 2024)

Video Language Model Pretraining with Spatio-temporal Masking. - Yue Wu; Zhaobo Qi; Junshu Sun; Yaowei Wang 001; Qingming Huang; Shuhui Wang (CVPR, 2025)

Enhancing Pre-trained Representation Classifiability can Boost its Interpretability. - Shufan Shen; Zhaobo Qi; Junshu Sun; Qingming Huang; Qi Tian 001; Shuhui Wang (ICLR, 2025)

Learning Fine-Grained Representations through Textual Token Disentanglement in Composed Video Retrieval. - Yue Wu; Zhaobo Qi; Yiling Wu; Junshu Sun; Yaowei Wang 001; Shuhui Wang (ICLR, 2025)