Rong Kang

According to our database, Rong Kang authored at least 19 papers between 2007 and 2025.

Collaborative distances:

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

2025

Data-Agnostic Cardinality Learning from Imperfect Workloads.

Peizhi Wu, Rong Kang, Tieying Zhang, Jianjun Chen, Ryan Marcus, Zack Ives

Proc. VLDB Endow., April, 2025

AIBrix: Towards Scalable, Cost-Effective Large Language Model Inference Infrastructure.

Jiaxin Shan, Varun Gupta, Le Xu, Haiyang Shi, Jingyuan Zhang, Ning Wang, Linhui Xu, Rong Kang, Tongping Liu, Yifei Zhang, Yiqing Zhu, Shuowei Jin, Gangmuk Lim, Binbin Chen, Zuzhi Chen, Xiao Liu, Xin Chen, Kante Yin, Chak-Pong Chung, Chenyu Jiang, Yicheng Lu, Jianjun Chen, Caixue Lin, Wu Xiang, Rui Shi, Liguang Xie

CoRR, April, 2025

VIDEX: A Disaggregated and Extensible Virtual Index for the Cloud and AI Era.

Rong Kang, Shuai Wang, Tieying Zhang, Xianghong Xu, Linhui Xu, Zhimin Liang, Lei Zhang, Rui Shi, Jianjun Chen

CoRR, March, 2025

AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators.

Xianghong Xu, Tieying Zhang, Xiao He, Haoyang Li, Rong Kang, Shuai Wang, Linhui Xu, Zhimin Liang, Shangyu Luo, Lei Zhang, Jianjun Chen

CoRR, February, 2025

Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause Analysis.

Changhua Pei, Zexin Wang, Fengrui Liu, Zeyan Li, Yang Liu, Xiao He, Rong Kang, Tieying Zhang, Jianjun Chen, Jianhui Li, Gaogang Xie, Dan Pei

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

ABase: the Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments.

Rong Kang, Yanbin Chen, Ye Liu, Fuxin Jiang, Qingshuo Li, Miao Ma, Jian Liu, Guangliang Zhao, Tieying Zhang, Jianjun Chen, Lei Zhang

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

2024

AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators.

Xianghong Xu, Tieying Zhang, Xiao He, Haoyang Li, Rong Kang, Wang Shuai, Linhui Xu, Zhimin Liang, Shangyu Luo, Lei Zhang, Jianjun Chen

Proc. VLDB Endow., December, 2024

2023

COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations.

Xianghong Xu, Zhibing Zhao, Tieying Zhang, Rong Kang, Luming Sun, Jianjun Chen

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

2022

G-VIDO: A Vehicle Dynamics and Intermittent GNSS-Aided Visual-Inertial State Estimator for Autonomous Driving.

Lu Xiong, Rong Kang, Junqiao Zhao, Peizhi Zhang, Mingyu Xu, Ran Ju, Chen Ye, Tiantian Feng

IEEE Trans. Intell. Transp. Syst., 2022

2020

Apache IoTDB: Time-series database for Internet of Things.

Chen Wang, Xiangdong Huang, Jialin Qiao, Tian Jiang, Lei Rui, Jinrui Zhang, Rong Kang, Julian Feinauer, Kevin Mcgrail, Peng Wang, Diaohan Luo, Jun Yuan, Jianmin Wang, Jiaguang Sun

Proc. VLDB Endow., 2020

Development of Production Internet Framework for Value Creation.

Stanislaw Strzelczak, Rong Kang, Fernando Castaño

Int. J. Autom. Technol., 2020

VINS-PL-Vehicle: Points and Lines-based Monocular VINS Combined with Vehicle Kinematics for Indoor Garage.

Peizhi Zhang, Lu Xiong, Zhuoping Yu, Rong Kang, Mingyu Xu, Dequan Zeng

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019

DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features.

Rong Kang, Jieqi Shi, Xueming Li, Yang Liu, Xiao Liu

CoRR, 2019

A Motion Planning Method Addressing Arbitrary Lots for Autonomous Parking Vehicle.

Dequan Zeng, Yi Zhou, Zhuoping Yu, Lu Xiong, Lang Xia, Peizhi Zhang, Rong Kang, Zhiqiang Li, Zhiqiang Fu, Jie Yao

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

VINS-Vehicle: A Tightly-Coupled Vehicle Dynamics Extension to Visual-Inertial State Estimator.

Rong Kang, Lu Xiong, Mingyu Xu, Junqiao Zhao, Peizhi Zhang

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Maximum-Margin Hamming Hashing.

Rong Kang, Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Matching Consecutive Subpatterns over Streaming Time Series.

Rong Kang, Chen Wang, Peng Wang, Yuting Ding, Jianmin Wang

Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017

Fine-Grained Pattern Matching Over Streaming Time Series.

Rong Kang, Chen Wang, Peng Wang, Yuting Ding, Jianmin Wang

CoRR, 2017

2007

Adaptive Radial Basis Function Detector for Beamforming.

Sheng Chen, Khaled Labib, Rong Kang, Lajos Hanzo

Proceedings of IEEE International Conference on Communications, 2007