Clustering with Entropy-based Recombination for Training GCNs on Large Graphs. - Shangwei Wu 001; Yingtong Xiong; Hui Liang; Chuliang Weng (ICDM (Workshops), 2023)

Dynamic depth-width optimization for capsule graph convolutional network. - Shangwei Wu 001; Yingtong Xiong; Chuliang Weng (Frontiers Comput. Sci., 2023)

Lins: Reducing Communication Overhead of ZeRO for Efficient LLM Training. - Qiaoling Chen; Qinghao Hu 004; Guoteng Wang; Yingtong Xiong; Ting Huang; Xun Chen; Yang Gao 042; Hang Yan 001; Yonggang Wen 001; Tianwei Zhang 004; Peng Sun 006 (IWQoS, 2024)

InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding. - Qiaoling Chen; Diandian Gu; Guoteng Wang; Xun Chen; Yingtong Xiong; Ting Huang; Qinghao Hu 004; Xin Jin 008; Yonggang Wen 001; Tianwei Zhang 004; Peng Sun 006 (CoRR, 2024)

InternLM2 Technical Report. - Zheng Cai; Maosong Cao; Haojiong Chen; Kai Chen 026; Keyu Chen; Xin Chen; Xun Chen; Zehui Chen; Zhi Chen 006; Pei Chu; Xiaoyi Dong; Haodong Duan; et al. (CoRR, 2024)

LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism. - Diandian Gu; Peng Sun 006; Qinghao Hu 004; Ting Huang; Xun Chen; Yingtong Xiong; Guoteng Wang; Qiaoling Chen; Shangchun Zhao; Jiarui Fang; Yonggang Wen 001; Tianwei Zhang 004; et al. (CoRR, 2024)

D2-GCN: a graph convolutional network with dynamic disentanglement for node classification. - Shangwei Wu 001; Yingtong Xiong; Hui Liang; Chuliang Weng (Frontiers Comput. Sci., 2025)

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models. - Jinguo Zhu; Weiyun Wang; Zhe Chen 017; Zhaoyang Liu 001; Shenglong Ye; Lixin Gu; Hao Tian 006; Yuchen Duan; Weijie Su 002; Jie Shao; Zhangwei Gao; Erfei Cui; et al. (CoRR, 2025)

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law. - Yicheng Bao; Guanxu Chen; Mingkang Chen; Yunhao Chen; Chiyu Chen; Lingjie Chen; Sirui Chen; Xinquan Chen; Jie Cheng; Yu Cheng 001; Dengke Deng; Yizhuo Ding; et al. (CoRR, 2025)