| Fang Yuan, Yang Geping, Chen Xiang, Gong Zhiguo, Yang Yiyang, Chen Can, Hao Zhifeng | “Landmark-based k-factorization multi-view subspace clustering”, Information Sciences, Volume: 667, 2024 |
| Liu Liu, Ding Zhijun, Cheng Dazhao, Zhou Xiaobo | “Locality-Aware and Fault-Tolerant Batching for Machine Learning on Distributed Datasets”, IEEE Transactions on Cloud Computing, Volume: 12, 2024 |
| Ye Zhuyifan, Wang Nannan, Zhou Jiantao, Ouyang Defang | “Organic crystal structure prediction via coupled generative adversarial networks and graph convolutional networks”, Innovation, Volume: 5, 2024 |
| Wang Mengzhu, Chen Junyang, Wang Ye, Gong Zhiguo, Wu Kaishun, Leung Victor C. M. | “TFC: Transformer Fused Convolution for Adversarial Domain Adaptation”, IEEE Transactions on Computational Social Systems, Volume: 11, 2024 |
| Qiao Ziyue, Wang Pengyang, Wang Pengfei, Ning Zhiyuan, Fu Yanjie, Du Yi, Zhou Yuanchun, Huang Jianqiang, Hua Xian-Sheng, Xiong Hui | “A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning”, ACM Transactions on the Web, Volume: 18, 2024 |
| Dong Hao, Wang Pengyang, Xiao Meng, Ning Zhiyuan, Wang Pengfei, Zhou Yuanchun | “Temporal inductive path neural network for temporal knowledge graph reasoning”, Artificial Intelligence, Volume: 329, 2024 |
| Guo Xianwei, Huang Fangwan, Yang Dingqi, Tu Chunyu, Yu Zhiyong, Guo Wenzhong | “Spatiotemporal Fracture Data Inference in Sparse Mobile Crowdsensing: A Graph- and Attention-Based Approach”, IEEE/ACM Transactions on Networking, Volume: 32, 2024 |
| Zhou Haoran, Rang Wei, Chen Hongyang, Zhou Xiaobo, Cheng Dazhao | “DeepTM: Efficient Tensor Management in Heterogeneous Memory for DNN Training”, IEEE Transactions on Parallel and Distributed Systems, 2024 |