Xiaozhe Ren

According to our database, Xiaozhe Ren authored at least 27 papers between 2019 and 2025.

Collaborative distances:

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

2025

A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook.

Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li

ACM Comput. Surv., November, 2025

Pangu DeepDiver: Adaptive Search Intensity Scaling via Open-Web Reinforcement Learning.

Wenxuan Shi, Haochen Tan, Chuqiao Kuang, Xiaoguang Li, Xiaozhe Ren, Chen Zhang, Hanting Chen, Yasheng Wang, Lifeng Shang, Fisher Yu, Yunhe Wang

CoRR, May, 2025

Self-Adjust Softmax.

Chuanyang Zheng, Yihang Gao, Guoxuan Chen, Han Shi, Jing Xiong, Xiaozhe Ren, Chao Huang, Xin Jiang, Zhenguo Li, Yu Li

CoRR, February, 2025

TaskSense: A Translation-like Approach for Tasking Heterogeneous Sensor Systems with LLMs.

Kaiwei Liu, Bufang Yang, Lilin Xu, Yunqi Guo, Guoliang Xing, Xian Shuai, Xiaozhe Ren, Xin Jiang, Zhenyu Yan

Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

DAPE V2: Process Attention Score as Feature Map for Length Extrapolation.

Chuanyang Zheng, Yihang Gao, Han Shi, Jing Xiong, Jiankai Sun, Jingyao Li, Minbin Huang, Xiaozhe Ren, Michael Ng, Xin Jiang, Zhenguo Li, Yu Li

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator.

Guoxuan Chen, Han Shi, Jiawei Li, Yihang Gao, Xiaozhe Ren, Yimeng Chen, Xin Jiang, Zhenguo Li, Weiyang Liu, Chao Huang

CoRR, 2024

Scaling Law for Language Models Training Considering Batch Size.

Xian Shuai, Yiding Wang, Yimeng Wu, Xin Jiang, Xiaozhe Ren

CoRR, 2024

CAPE: Context-Adaptive Positional Encoding for Length Extrapolation.

Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li

CoRR, 2024

Poster Abstract: Tasking Heterogeneous Sensor Systems with LLMs.

Kaiwei Liu, Bufang Yang, Lilin Xu, Yunqi Guo, Neiwen Ling, Zhihe Zhao, Guoliang Xing, Xian Shuai, Xiaozhe Ren, Xin Jiang, Zhenyu Yan

Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

DAPE: Data-Adaptive Positional Encoding for Length Extrapolation.

Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling.

Shaohuai Shi, Xinglin Pan, Qiang Wang, Chengjian Liu, Xiaozhe Ren, Zhongzhe Hu, Yu Yang, Bo Li, Xiaowen Chu

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

PIXART-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

Junsong Chen, Chongjian Ge, Enze Xie, Yue Wu, Lewei Yao, Xiaozhe Ren, Zhongdao Wang, Ping Luo, Huchuan Lu, Zhenguo Li

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

A Survey of Reasoning with Foundation Models.

Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li

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

EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge.

Bufang Yang, Lixing He, Neiwen Ling, Zhenyu Yan, Guoliang Xing, Xian Shuai, Xiaozhe Ren, Xin Jiang

Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline.

Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue, Yang Luo, Xin Jiang, Yang You

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Study on Transformer Configuration and Training Objective.

Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You

Proceedings of the International Conference on Machine Learning, 2023

One Student Knows All Experts Know: From Sparse to Dense.

Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

CAME: Confidence-guided Adaptive Memory Efficient Optimization.

Yang Luo, Xiaozhe Ren, Zangwei Zheng, Zhuo Jiang, Xin Jiang, Yang You

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Deeper vs Wider: A Revisit of Transformer Configuration.

Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Xin Jiang, Yang You

CoRR, 2022

AutoBERT-Zero: Evolving BERT Backbone from Scratch.

Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Large-Scale Deep Learning Optimizations: A Comprehensive Survey.

Xiaoxin He, Fuzhao Xue, Xiaozhe Ren, Yang You

CoRR, 2021

NumGPT: Improving Numeracy Ability of Generative Pre-trained Models.

Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, Huamin Qu

CoRR, 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

SparseBERT: Rethinking the Importance Analysis in Self-attention.

Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok

Proceedings of the 38th International Conference on Machine Learning, 2021

EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation.

Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2019

NEZHA: Neural Contextualized Representation for Chinese Language Understanding.

Junqiu Wei, Xiaozhe Ren, Xiaoguang Li, Wenyong Huang, Yi Liao, Yasheng Wang, Jiashu Lin, Xin Jiang, Xiao Chen, Qun Liu

CoRR, 2019