Jinrong Guo - RankMe

14 papers A* 1B 2C 1Misc 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Research on SeaTreasure Target Detection Technology Based on Improved YOLOv7-Tiny. IEEE Access Xiang Shi, Yunli Zhao, Jinrong Guo, Yan Liu, Yongqi Zhang
2025	J	`jnl`	TARAC: Mitigating Hallucination in LVLMs via Temporal Attention Real-time Accumulative Connection. CoRR Chunzhao Xie, Tongxuan Liu, Lei Jiang, Yuting Zeng, Jinrong Guo, Yunheng Shen, Weizhe Huang, Jing Li, Xiaohua Xu
2025	J	`jnl`	xLLM Technical Report. CoRR Tongxuan Liu, Tao Peng, Peijun Yang, Xiaoyang Zhao, Xiusheng Lu, Weizhe Huang, Zirui Liu, Xiaoyu Chen, Zhiwei Liang, Jun Xiong, Donghe Jin, Minchao Zhang, Jinrong Guo, Yingxu Deng, Xu Zhang, Xianzhe Dong, Siqi Wang, Siyu Wu, Yu Wu, Zihan Tang, Yuting Zeng, Yanshu Wang, Jinguang Liu, Meng Kang, Menxin Li, Yunlong Wang, Yiming Liu, Xiaolong Ma, Yifan Wang, Yichen Zhang, Jinrun Yin, Keyang Zheng, Jiawei Yin, Jun Zhang, Ziyue Wang, Xiaobo Lin, Liangyu Liu, Liwei Lan, Yang Liu, Chunhua Peng, Han Liu, Songcheng Ren, Xuezhu Wang, Yunheng Shen, Yi Wang, Guyue Liu, Hui Chen, Tong Yang, Hailong Yang, Jing Li, Guiguang Ding, Ke Zhang
2024	J	`jnl`	Identification of KLF9 and FOSL2 as Endoplasmic Reticulum Stress Signature Genes in Osteoarthritis with Multiple Machine Learning Approaches. Comput. Informatics Wenfei Xu, Qijie Mei, Kan Duan, Chunyu Ming, Yanhong Li, Jinrong Guo, Qi Hu, Chao Zeng, Changshen Yuan
2024	B	`conf`	Parquet-Based CTR Model Training in Production Environment. SMC Zhibing Liu, Jinrong Guo, Biyu Zhou, Xiaokun Zhu, Yongjun Bao, Jizhong Han, Songlin Hu
2021	J	`jnl`	Evaluating and analyzing the energy efficiency of CNN inference on high-performance GPU. Concurr. Comput. Pract. Exp. Chunrong Yao, Wantao Liu, Weiqing Tang, Jinrong Guo, Songlin Hu, Yijun Lu, Wei Jiang
2020	Misc	`conf`	Accelerating Distributed Deep Learning By Adaptive Gradient Quantization. ICASSP Jinrong Guo, Wantao Liu, Wang Wang, Jizhong Han, Ruixuan Li, Yijun Lu, Songlin Hu
2020	A*	`conf`	Tail: An Automated and Lightweight Gradient Compression Framework for Distributed Deep Learning. DAC Jinrong Guo, Songlin Hu, Wang Wang, Chunrong Yao, Jizhong Han, Ruixuan Li, Yijun Lu
2019	B	`conf`	A GPU memory efficient speed-up scheme for training ultra-deep neural networks: poster. PPoPP Jinrong Guo, Wantao Liu, Wang Wang, Qu Lu, Songlin Hu, Jizhong Han, Ruixuan Li
2019	C	`conf`	AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-Deep Neural Networks. ICCD Jinrong Guo, Wantao Liu, Wang Wang, Chunrong Yao, Jizhong Han, Ruixuan Li, Yijun Lu, Songlin Hu
2019	J	`jnl`	AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Deep Neural Networks. CoRR Jinrong Guo, Wantao Liu, Wang Wang, Qu Lu, Songlin Hu, Jizhong Han, Ruixuan Li
2018	—	`conf`	Multi-stage Gradient Compression: Overcoming the Communication Bottleneck in Distributed Deep Learning. ICONIP (1) Qu Lu, Wantao Liu, Jizhong Han, Jinrong Guo
2015	J	`jnl`	Comments on "Sliding-Mode Formation Control for Cooperative Autonomous Mobile Robots". IEEE Trans. Ind. Electron. Dianwei Qian, Shiwen Tong, Jinrong Guo, Suk Gyu Lee
2015	J	`jnl`	Leader-follower-based formation control of nonholonomic mobile robots with mismatched uncertainties via integral sliding mode. J. Syst. Control. Eng. Dianwei Qian, Shiwen Tong, Jinrong Guo, Suk Gyu Lee