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Xiaozhe Ren
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2020 – today
- 2024
- [c9]Shaohuai Shi, Xinglin Pan, Qiang Wang, Chengjian Liu, Xiaozhe Ren, Zhongzhe Hu, Yu Yang, Bo Li, Xiaowen Chu:
ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling. EuroSys 2024: 236-249 - [i16]Junsong Chen, Chongjian Ge, Enze Xie, Yue Wu, Lewei Yao, Xiaozhe Ren, Zhongdao Wang, Ping Luo, Huchuan Lu, Zhenguo Li:
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation. CoRR abs/2403.04692 (2024) - [i15]Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li:
CAPE: Context-Adaptive Positional Encoding for Length Extrapolation. CoRR abs/2405.14722 (2024) - 2023
- [c8]Yang Luo, Xiaozhe Ren, Zangwei Zheng, Zhuo Jiang, Xin Jiang, Yang You:
CAME: Confidence-guided Adaptive Memory Efficient Optimization. ACL (1) 2023: 4442-4453 - [c7]Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You:
One Student Knows All Experts Know: From Sparse to Dense. Tiny Papers @ ICLR 2023 - [c6]Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You:
A Study on Transformer Configuration and Training Objective. ICML 2023: 38913-38925 - [c5]Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue, Yang Luo, Xin Jiang, Yang You:
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline. NeurIPS 2023 - [c4]Bufang Yang, Lixing He, Neiwen Ling, Zhenyu Yan, Guoliang Xing, Xian Shuai, Xiaozhe Ren, Xin Jiang:
EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge. SenSys 2023: 111-124 - [i14]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:
PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing. CoRR abs/2303.10845 (2023) - [i13]Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue, Yang Luo, Xin Jiang, Yang You:
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline. CoRR abs/2305.13144 (2023) - [i12]Yang Luo, Xiaozhe Ren, Zangwei Zheng, Zhuo Jiang, Xin Jiang, Yang You:
CAME: Confidence-guided Adaptive Memory Efficient Optimization. CoRR abs/2307.02047 (2023) - [i11]Bufang Yang, Lixing He, Neiwen Ling, Zhenyu Yan, Guoliang Xing, Xian Shuai, Xiaozhe Ren, Xin Jiang:
EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge. CoRR abs/2311.10986 (2023) - [i10]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:
A Survey of Reasoning with Foundation Models. CoRR abs/2312.11562 (2023) - 2022
- [c3]Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li:
AutoBERT-Zero: Evolving BERT Backbone from Scratch. AAAI 2022: 10663-10671 - [i9]Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You:
One Student Knows All Experts Know: From Sparse to Dense. CoRR abs/2201.10890 (2022) - [i8]Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Xin Jiang, Yang You:
Deeper vs Wider: A Revisit of Transformer Configuration. CoRR abs/2205.10505 (2022) - 2021
- [c2]Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang:
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. EMNLP (Findings) 2021: 1424-1437 - [c1]Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok:
SparseBERT: Rethinking the Importance Analysis in Self-attention. ICML 2021: 9547-9557 - [i7]Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James T. Kwok:
SparseBERT: Rethinking the Importance Analysis in Self-attention. CoRR abs/2102.12871 (2021) - [i6]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:
PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation. CoRR abs/2104.12369 (2021) - [i5]Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li:
AutoBERT-Zero: Evolving BERT Backbone from Scratch. CoRR abs/2107.07445 (2021) - [i4]Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, Huamin Qu:
NumGPT: Improving Numeracy Ability of Generative Pre-trained Models. CoRR abs/2109.03137 (2021) - [i3]Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang:
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. CoRR abs/2109.07222 (2021) - [i2]Xiaoxin He, Fuzhao Xue, Xiaozhe Ren, Yang You:
Large-Scale Deep Learning Optimizations: A Comprehensive Survey. CoRR abs/2111.00856 (2021)
2010 – 2019
- 2019
- [i1]Junqiu Wei, Xiaozhe Ren, Xiaoguang Li, Wenyong Huang, Yi Liao, Yasheng Wang, Jiashu Lin, Xin Jiang, Xiao Chen, Qun Liu:
NEZHA: Neural Contextualized Representation for Chinese Language Understanding. CoRR abs/1909.00204 (2019)
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last updated on 2024-09-21 01:43 CEST by the dblp team
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