Teng Su

According to our database, Teng Su authored at least 19 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

HyperParallel: A Supernode-Affinity AI Framework.

Xin Zhang, Beilei Sun, Teng Su, Qinghua Zhang, Chong Bao, Lei Chen, Xuefeng Jin

CoRR, March, 2026

2025

Training Report of TeleChat3-MoE.

Xinzhang Liu, Chao Wang, Zhihao Yang, Zhuo Jiang, Xudong Zhao, Haoran Wang, Lei Li, Dongdong He, Luobin Liu, Kaizhe Yuan, Han Gao, Zihan Wang, Yitong Yao, Sishi Xiong, Wenmin Deng, Haowei He, Kaidong Yu, Yu Zhao, Ruiyu Fang, Yuhao Jiang, Yingyan Li, Xiaohui Hu, Xi Yu, Jingqi Li, Yanwei Liu, Qingli Li, Xinyu Shi, Junhao Niu, Chengnuo Huang, Yao Xiao, Ruiwen Wang, Fengkai Li, Luwen Pu, Kaipeng Jia, Fubei Yao, Yuyao Huang, Xuewei He, Zhuoru Jiang, Ruiting Song, Rui Xue, Qiyi Xie, Jie Zhang, Zilu Huang, Zhaoxiang Zhang, Zhilong Lu, Yanhan Zhang, Yin Zhang, Yanlei Xue, Zhu Yuan, Teng Su, Xin Jiang, Shuangyong Song, Yongxiang Li, Xuelong Li

CoRR, December, 2025

Cross-Search With Improved Multi-Dimensional Dichotomy-Based Joint Optimization for Distributed Parallel Training of DNN.

Guangyao Zhou, Yiqin Fu, Haocheng Lan, Yuanlun Xie, Wenhong Tian, Rajkumar Buyya, Jianhong Qian, Teng Su

IEEE Trans. Parallel Distributed Syst., July, 2025

EfficientMoE: Optimizing Mixture-of-Experts Model Training With Adaptive Load Balance.

Yan Zeng, Chengchuang Huang, Yipeng Mei, Lifu Zhang, Teng Su, Wei Ye, Wenqi Shi, Shengnan Wang

IEEE Trans. Parallel Distributed Syst., April, 2025

The knowledge distillation-assisted multimodal model for osteoporosis screening.

Teng Su, Qing Yang, Meng Si, Yuanyuan Sun, Xinyu Ji, Yuyan Zhang, Bing Ji

Comput. Methods Programs Biomed., 2025

Accelerating Model Training on Ascend Chips: An Industrial System for Profiling, Analysis and Optimization.

Yuhang Zhou, Zibo Wang, Zhibin Wang, Ruyi Zhang, Chen Tian, Xiaoliang Wang, Wanchun Dou, Guihai Chen, Bingqiang Wang, Yonghong Tian, Yan Zhang, Hui Wang, Fuchun Wei, Boquan Sun, Jingyi Zhang, Bin She, Teng Su, Yifan Yao, Chunsheng Li, Ziyang Zhang, Yaoyuan Wang, Bin Zhou, Guyue Liu

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

Efficient and Automatic 3D Parallelism Strategies Search via Contrastive Reinforcement Learning Pretrained Neural Networks.

Jie Ou, Xiaowang Li, Yueming Chen, Jiahong Qian, Teng Su, Wenhong Tian

Proceedings of the 12th IEEE International Conference on Data Science and Advanced Analytics, 2025

BMPipe: Bubble-Memory Co-Optimization Strategy Planner for Very-Large DNN Training.

Ruiwen Wang, Chong Li, Thibaut Tachon, Raja Appuswamy, Teng Su

Proceedings of the IEEE International Conference on Cluster Computing, 2025

2024

BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences.

Sun Ao, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun, Shengnan Wang, Teng Su

CoRR, 2024

CSIMD: Cross-Search Algorithm with Improved Multi-dimensional Dichotomy for Micro-Batch-Based Pipeline Parallel Training in DNN.

Guangyao Zhou, Haocheng Lan, Yuanlun Xie, Wenhong Tian, Jiahong Qian, Teng Su

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

2023

A Survey on Auto-Parallelism of Large-Scale Deep Learning Training.

Peng Liang, Yu Tang, Xiaoda Zhang, Youhui Bai, Teng Su, Zhiquan Lai, Linbo Qiao, Dongsheng Li

IEEE Trans. Parallel Distributed Syst., August, 2023

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X.

Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang

CoRR, 2023

PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing.

Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, Xinjing Huang, Yadao Wang, Weichao Wang, Pengfei Li, Xiaoda Zhang, Alexander Podolskiy, Grigory Arshinov, Andrey Bout, Irina Piontkovskaya, Jiansheng Wei, Xin Jiang, Teng Su, Qun Liu, Jun Yao

CoRR, 2023

TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks.

Peng Liang, Hao Zheng, Teng Su, Linbo Qiao, Dongsheng Li

CoRR, 2023

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X.

Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Lei Shen, Zihan Wang, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism.

Zhenkun Cai, Xiao Yan, Kaihao Ma, Yidi Wu, Yuzhen Huang, James Cheng, Teng Su, Fan Yu

IEEE Trans. Parallel Distributed Syst., 2022

2021

PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation.

Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, Yaowei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian

CoRR, 2021

2015

Task-D: A Task Based Programming Framework for Distributed System.

Jiachen Xue, Chong Chen, Lin Ma, Teng Su, Chen Tian, Wenqin Zheng, Ziang Hu

Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

2012

A Family of Fast Hadamard-Fourier Transform Algorithms.

Teng Su, Feng Yu

IEEE Signal Process. Lett., 2012