Ren, Xiaozhe

8 publications

NeurIPS 2025 DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning Wenxuan Shi, Haochen Tan, Chuqiao Kuang, Xiaoguang Li, Hanting Chen, Xiaozhe Ren, Yasheng Wang, Lu Hou, Lifeng Shang

ICML 2025 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

NeurIPS 2024 DAPE: Data-Adaptive Positional Encoding for Length Extrapolation Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael Ng, Xin Jiang, Zhenguo Li, Yu Li

ECCV 2024 PixArt-Sigma: 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

ICML 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

NeurIPS 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

AAAI 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

ICML 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