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Sijie Shen
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2020 – today
- 2024
- [j5]Song Yu, Shufeng Gong, Qian Tao, Sijie Shen, Yanfeng Zhang, Wenyuan Yu, Pengxi Liu, Zhixin Zhang, Hongfu Li, Xiaojian Luo, Ge Yu, Jingren Zhou:
LSMGraph: A High-Performance Dynamic Graph Storage System with Multi-Level CSR. Proc. ACM Manag. Data 2(6): 243:1-243:28 (2024) - [c11]Tao He, Shuxian Hu, Longbin Lai, Dongze Li, Neng Li, Xue Li, Lexiao Liu, Xiaojian Luo, Bingqing Lyu, Ke Meng, Sijie Shen, Li Su, Lei Wang, Jingbo Xu, Wenyuan Yu, Weibin Zeng, Lei Zhang, Siyuan Zhang, Jingren Zhou, Xiaoli Zhou, Diwen Zhu:
GraphScope Flex: LEGO-like Graph Computing Stack. SIGMOD Conference Companion 2024: 386-399 - [c10]Taochun Wang, Sijie Shen, Qingshan Wu, Fulong Chen, Peng Hu, Chuanxin Zhao, Shuhan Wan:
Traceable Health Data Sharing Based-on Blockchain. WASA (1) 2024: 196-208 - [i7]Rongxin Chen, Yifan Peng, Xingda Wei, Hongrui Xie, Rong Chen, Sijie Shen, Haibo Chen:
Characterizing the Dilemma of Performance and Index Size in Billion-Scale Vector Search and Breaking It with Second-Tier Memory. CoRR abs/2405.03267 (2024) - [i6]Song Yu, Shufeng Gong, Qian Tao, Sijie Shen, Yanfeng Zhang, Wenyuan Yu, Pengxi Liu, Zhixin Zhang, Hongfu Li, Xiaojian Luo, Ge Yu, Jingren Zhou:
LSMGraph: A High-Performance Dynamic Graph Storage System with Multi-Level CSR. CoRR abs/2411.06392 (2024) - 2023
- [j4]Yongping Zhang, Sijie Shen, Sen Xu:
Strip steel surface defect detection based on lightweight YOLOv5. Frontiers Neurorobotics 17 (2023) - [c9]Longbin Lai, Yufan Yang, Zhibin Wang, Yuxuan Liu, Haotian Ma, Sijie Shen, Bingqing Lyu, Xiaoli Zhou, Wenyuan Yu, Zhengping Qian, Chen Tian, Sheng Zhong, Yeh-Ching Chung, Jingren Zhou:
GLogS: Interactive Graph Pattern Matching Query At Large Scale. USENIX ATC 2023: 53-69 - [c8]Sijie Shen, Zihang Yao, Lin Shi, Lei Wang, Longbin Lai, Qian Tao, Li Su, Rong Chen, Wenyuan Yu, Haibo Chen, Binyu Zang, Jingren Zhou:
Bridging the Gap between Relational OLTP and Graph-based OLAP. USENIX ATC 2023: 181-196 - [i5]Tao He, Shuxian Hu, Longbin Lai, Dongze Li, Neng Li, Xue Li, Lexiao Liu, Xiaojian Luo, Binqing Lyu, Ke Meng, Sijie Shen, Li Su, Lei Wang, Jingbo Xu, Wenyuan Yu, Weibin Zeng, Lei Zhang, Siyuan Zhang, Jingren Zhou, Xiaoli Zhou, Diwen Zhu:
GraphScope Flex: LEGO-like Graph Computing Stack. CoRR abs/2312.12107 (2023) - 2022
- [j3]Sijie Shen, Xingda Wei, Rong Chen, Haibo Chen, Binyu Zang:
DrTM+B: Replication-Driven Live Reconfiguration for Fast and General Distributed Transaction Processing. IEEE Trans. Parallel Distributed Syst. 33(10): 2628-2643 (2022) - [c7]Yusen Xu, Sijie Shen, Mingcong Han, Rong Chen:
FNotify: A Low-Latency and Scalable Publish/Subscribe System using RDMA. HPCC/DSS/SmartCity/DependSys 2022: 327-336 - [c6]Sijie Shen, Xiang Zhu, Yihong Dong, Qizhi Guo, Yankun Zhen, Ge Li:
Incorporating domain knowledge through task augmentation for front-end JavaScript code generation. ESEC/SIGSOFT FSE 2022: 1533-1543 - [i4]Sijie Shen, Xiang Zhu, Yihong Dong, Qizhi Guo, Yankun Zhen, Ge Li:
Incorporating Domain Knowledge through Task Augmentation for Front-End JavaScript Code Generation. CoRR abs/2208.10091 (2022) - 2021
- [c5]Sijie Shen, Rong Chen, Haibo Chen, Binyu Zang:
Retrofitting High Availability Mechanism to Tame Hybrid Transaction/Analytical Processing. OSDI 2021: 219-238 - [i3]Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin:
Modular Tree Network for Source Code Representation Learning. CoRR abs/2104.00196 (2021) - 2020
- [j2]Guangjie Li, Hui Liu, Ge Li, Sijie Shen, Hanlin Tang:
LSTM-based argument recommendation for non-API methods. Sci. China Inf. Sci. 63(9): 1-22 (2020) - [j1]Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin:
Modular Tree Network for Source Code Representation Learning. ACM Trans. Softw. Eng. Methodol. 29(4): 31:1-31:23 (2020) - [i2]Wenhan Wang, Sijie Shen, Ge Li, Zhi Jin:
Towards Full-line Code Completion with Neural Language Models. CoRR abs/2009.08603 (2020)
2010 – 2019
- 2019
- [i1]Yongjie Liu, Sijie Shen:
Self-adaptive Single and Multi-illuminant Estimation Framework based on Deep Learning. CoRR abs/1902.04705 (2019) - 2018
- [c4]Sijie Shen, Toshihiko Yamasaki, Michi Sato, Kenji Kajiwara:
Photo Selection for Family Album using Deep Neural Networks. MMArt&ACM@ICMR 2018: 8-13 - 2017
- [c3]Sijie Shen, Ryosuke Furuta, Toshihiko Yamasaki, Kiyoharu Aizawa:
Fooling Neural Networks in Face Attractiveness Evaluation: Adversarial Examples with High Attractiveness Score But Low Subjective Score. BigMM 2017: 66-69 - [c2]Sijie Shen, Toshihiko Yamasaki, Kiyoharu Aizawa, Toru Sugahara:
Data-Driven Geometric Face Image Smilization Featuring Moving Least Square Based Deformation. BigMM 2017: 220-225 - [c1]Xingda Wei, Sijie Shen, Rong Chen, Haibo Chen:
Replication-driven Live Reconfiguration for Fast Distributed Transaction Processing. USENIX ATC 2017: 335-347
Coauthor Index
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