Siyu Ding

According to our database, Siyu Ding authored at least 12 papers between 2021 and 2026.

Collaborative distances:

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

2026

SpikingBrain2.0: Brain-Inspired Foundation Models for Efficient Long-Context and Cross-Platform Inference.

Yuqi Pan, Jinghao Zhuang, Yupeng Feng, Fangzhi Zhong, Siyu Ding, Xuerui Qiu, Shaowei Gu, Bohan Sun, Zhiyong Qin, Yibo Zhong, Lingtao Ouyang, Kun Yang, Zehao Liu, Yuhong Chou, Shurong Wang, Anjie Hu, Han Xu, Bo Xu, Guoqi Li

CoRR, April, 2026

KnowRL: Boosting LLM Reasoning via Reinforcement Learning with Minimal-Sufficient Knowledge Guidance.

Linhao Yu, Tianmeng Yang, Siyu Ding, Renren Jin, Naibin Gu, Xiangzhao Hao, Shuaiyi Nie, Deyi Xiong, Weichong Yin, Yu Sun, Hua Wu

CoRR, April, 2026

ATTNPO: Attention-Guided Process Supervision for Efficient Reasoning.

Shuaiyi Nie, Siyu Ding, Wenyuan Zhang, Linhao Yu, Tianmeng Yang, Yao Chen, Tingwen Liu, Weichong Yin, Yu Sun, Hua Wu

CoRR, February, 2026

SpikingBrain: Spiking Brain-inspired Large Models.

Yuqi Pan, Yupeng Feng, Jinghao Zhuang, Siyu Ding, Han Xu, Zehao Liu, Bohan Sun, Yuhong Chou, Xuerui Qiu, Anlin Deng, Anjie Hu, Shurong Wang, Peng Zhou, Man Yao, Jibin Wu, Jian Yang, Bo Xu, Guoqi Li

Trans. Mach. Learn. Res., 2026

Difficulty-aware and relational decoupled knowledge distillation.

Zhiqiang Bao, Siyu Ding, Baocheng Chen, Pengshuo Zhang

Neurocomputing, 2026

2025

Auditable-choice reframing unlocks RL-based verification for open-ended tasks.

Mengyu Zhang, Xubo Liu, Siyu Ding, Weichong Yin, Yu Sun, Hua Wu, Wenya Guo, Ying Zhang

CoRR, November, 2025

SpikingBrain Technical Report: Spiking Brain-inspired Large Models.

Yuqi Pan, Yupeng Feng, Jinghao Zhuang, Siyu Ding, Zehao Liu, Bohan Sun, Yuhong Chou, Han Xu, Xuerui Qiu, Anlin Deng, Anjie Hu, Peng Zhou, Man Yao, Jibin Wu, Jian Yang, Guoliang Sun, Bo Xu, Guoqi Li

CoRR, September, 2025

A parametric reduced-order model based on tensor decomposition for unstructured mesh data.

Yanjie Tong, Qingzhou Lu, Siyu Ding, Xingjian Wang

J. Comput. Phys., 2025

2022

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters.

Yang Xiang, Zhihua Wu, Weibao Gong, Siyu Ding, Xianjie Mo, Yuang Liu, Shuohuan Wang, Peng Liu, Yongshuai Hou, Long Li, Bin Wang, Shaohuai Shi, Yaqian Han, Yue Yu, Ge Li, Yu Sun, Yanjun Ma, Dianhai Yu

CoRR, 2022

2021

ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.

Shuohuan Wang, Yu Sun, Yang Xiang, Zhihua Wu, Siyu Ding, Weibao Gong, Shikun Feng, Junyuan Shang, Yanbin Zhao, Chao Pang, Jiaxiang Liu, Xuyi Chen, Yuxiang Lu, Weixin Liu, Xi Wang, Yangfan Bai, Qiuliang Chen, Li Zhao, Shiyong Li, Peng Sun, Dianhai Yu, Yanjun Ma, Hao Tian, Hua Wu, Tian Wu, Wei Zeng, Ge Li, Wen Gao, Haifeng Wang

CoRR, 2021

ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.

Yu Sun, Shuohuan Wang, Shikun Feng, Siyu Ding, Chao Pang, Junyuan Shang, Jiaxiang Liu, Xuyi Chen, Yanbin Zhao, Yuxiang Lu, Weixin Liu, Zhihua Wu, Weibao Gong, Jianzhong Liang, Zhizhou Shang, Peng Sun, Wei Liu, Xuan Ouyang, Dianhai Yu, Hao Tian, Hua Wu, Haifeng Wang

CoRR, 2021

ERNIE-Doc: A Retrospective Long-Document Modeling Transformer.

Siyu Ding, Junyuan Shang, Shuohuan Wang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021