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Yingtong Xiong
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2020 – today
- 2025
- [j2]Shangwei Wu, Yingtong Xiong, Hui Liang, Chuliang Weng:
D2-GCN: a graph convolutional network with dynamic disentanglement for node classification. Frontiers Comput. Sci. 19(1): 191305 (2025) - 2024
- [c2]Qiaoling Chen, Qinghao Hu, Guoteng Wang, Yingtong Xiong, Ting Huang, Xun Chen, Yang Gao, Hang Yan, Yonggang Wen, Tianwei Zhang, Peng Sun:
Lins: Reducing Communication Overhead of ZeRO for Efficient LLM Training. IWQoS 2024: 1-10 - [i2]Zheng Cai, Maosong Cao, Haojiong Chen, Kai Chen, Keyu Chen, Xin Chen, Xun Chen, Zehui Chen, Zhi Chen, Pei Chu, Xiaoyi Dong, Haodong Duan, Qi Fan, Zhaoye Fei, Yang Gao, Jiaye Ge, Chenya Gu, Yuzhe Gu, Tao Gui, Aijia Guo, Qipeng Guo, Conghui He, Yingfan Hu, Ting Huang, Tao Jiang, Penglong Jiao, Zhenjiang Jin, Zhikai Lei, Jiaxing Li, Jingwen Li, Linyang Li, Shuaibin Li, Wei Li, Yining Li, Hongwei Liu, Jiangning Liu, Jiawei Hong, Kaiwen Liu, Kuikun Liu, Xiaoran Liu, Chengqi Lv, Haijun Lv, Kai Lv, Li Ma, Runyuan Ma, Zerun Ma, Wenchang Ning, Linke Ouyang, Jiantao Qiu, Yuan Qu, Fukai Shang, Yunfan Shao, Demin Song, Zifan Song, Zhihao Sui, Peng Sun, Yu Sun, Huanze Tang, Bin Wang, Guoteng Wang, Jiaqi Wang, Jiayu Wang, Rui Wang, Yudong Wang, Ziyi Wang, Xingjian Wei, Qizhen Weng, Fan Wu, Yingtong Xiong, Xiaomeng Zhao, et al.:
InternLM2 Technical Report. CoRR abs/2403.17297 (2024) - [i1]Diandian Gu, Peng Sun, Qinghao Hu, Ting Huang, Xun Chen, Yingtong Xiong, Guoteng Wang, Qiaoling Chen, Shangchun Zhao, Jiarui Fang, Yonggang Wen, Tianwei Zhang, Xin Jin, Xuanzhe Liu:
LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism. CoRR abs/2406.18485 (2024) - 2023
- [j1]Shangwei Wu, Yingtong Xiong, Chuliang Weng:
Dynamic depth-width optimization for capsule graph convolutional network. Frontiers Comput. Sci. 17(6): 176346 (2023) - [c1]Shangwei Wu, Yingtong Xiong, Hui Liang, Chuliang Weng:
Clustering with Entropy-based Recombination for Training GCNs on Large Graphs. ICDM (Workshops) 2023: 1170-1177
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last updated on 2024-12-10 20:47 CET by the dblp team
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