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Posts by Collection
portfolio
Portfolio item number 2
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publications
Modeling and Optimizing the Scaling Performance in Distributed Deep Learning Training
Published in Proceedings of the ACM Web Conference, 2022
Recommended citation: Ting Liu*, Tianhao Miao*, Qinghua Wu, Zhenyu Li, Guangxin He Jiaoren Wu, Shengzhuo Zhang, Xingwu Yang, Gareth Tyson, Gaogang Xie.
Multi-step Visual Reasoning with Visual Tokens Scaling and Verification
Published in Conference on Neural Information Processing Systems，NeurIPS, 2025
Recommended citation: Tianyi Bai, Zengjie Hu, Fupeng Sun, Qiu Jiantao, Yizhen Jiang, Guangxin He, Bohan Zeng, Conghui He, Binhang Yuan, Wentao Zhang.
UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models
Published in International Conference on Learning Representations, ICLR, 2026
Recommended citation: Guangxin He, Shen Nie, Fengqi Zhu, Yuankang Zhao, Tianyi Bai, Ran Yan, Jie Fu, Chongxuan Li, Binhang Yuan.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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