Zhiqing Zhong

According to our database, Zhiqing Zhong authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

An Executable Benchmarking Suite for Tool-Using Agents.

Zhiqing Zhong, Zhijing Ye, Jiamin Wang, Xiaodong Yu

CoRR, May, 2026

KV-RM: Regularizing KV-Cache Movement for Static-Graph LLM Serving.

Zhiqing Zhong, Zhijing Ye, Jian Zhang, Weijian Zheng, Bolun Sun, Xiaodong Yu

CoRR, May, 2026

SWE-ABS: Adversarial Benchmark Strengthening Exposes Inflated Success Rates on Test-based Benchmark.

Boxi Yu, Yang Cao, Yuzhong Zhang, Liting Lin, Junjielong Xu, Zhiqing Zhong, Qinghua Xu, Guancheng Wang, Jialun Cao, Shing-Chi Cheung, Pinjia He, Lionel C. Briand

CoRR, March, 2026

DualMamba: a patch-based model with dual mamba for long-term time series forecasting.

Guangyu Wei, Huichuan Huang, Zhiqing Zhong, Wenlong Sun, Yonghao Wan, Aimin Feng

Frontiers Comput. Sci., February, 2026

2025

BackportBench: A Multilingual Benchmark for Automated Backporting of Patches.

Zhiqing Zhong, Jiaming Huang, Pinjia He

CoRR, December, 2025

An Efficient Gradient-Aware Error-Bounded Lossy Compressor for Federated Learning.

Zhijing Ye, Sheng Di, Jiamin Wang, Zhiqing Zhong, Zhaorui Zhang, Xiaodong Yu

CoRR, November, 2025

SWE-Effi: Re-Evaluating Software AI Agent System Effectiveness Under Resource Constraints.

Zhiyu Fan, Kirill Vasilevski, Dayi Lin, Boyuan Chen, Yihao Chen, Zhiqing Zhong, Jie M. Zhang, Pinjia He, Ahmed E. Hassan

CoRR, September, 2025

Towards Understanding Performance Bugs in Popular Data Science Libraries.

Haowen Yang, Zhengda Li, Zhiqing Zhong, Xiaoying Tang, Pinjia He

Proc. ACM Softw. Eng., 2025

DABench-LLM: Standardized and In-Depth Benchmarking of Post-Moore Dataflow AI Accelerators for LLMs.

Ziyu Hu, Zhiqing Zhong, Weijian Zheng, Zhijing Ye, Xuwei Tan, Xueru Zhang, Zheng Xie, Rajkumar Kettimuthu, Xiaodong Yu

Proceedings of the IEEE International Symposium on Workload Characterization, 2025

An Empirical Study on Package-Level Deprecation in Python Ecosystem.

Zhiqing Zhong, Shilin He, Haoxuan Wang, Boxi Yu, Haowen Yang, Pinjia He

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Bi-Grid Reconstruction for Image Anomaly Detection.

Huichuan Huang, Zhiqing Zhong, Guangyu Wei, Yonghao Wan, Wenlong Sun, Aimin Feng

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?

Junjielong Xu, Qinan Zhang, Zhiqing Zhong, Shilin He, Chaoyun Zhang, Qingwei Lin, Dan Pei, Pinjia He, Dongmei Zhang, Qi Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FastREI: Fast Rare Event Identification on X-ray Data with Cross-Stage Optimizations.

Ziyu Hu, Jiamin Wang, Zhiqing Zhong, Weijian Zheng, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Antonino Miceli, Zhaorui Zhang, Rajkumar Kettimuthu, Xiaodong Yu

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Deep Learning or Classical Machine Learning? An Empirical Study on Log-Based Anomaly Detection.

Boxi Yu, Jiayi Yao, Qiuai Fu, Zhiqing Zhong, Haotian Xie, Yaoliang Wu, Yuchi Ma, Pinjia He

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

ROME: Testing Image Captioning Systems via Recursive Object Melting.

Boxi Yu, Zhiqing Zhong, Jiaqi Li, Yixing Yang, Shilin He, Pinjia He

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2022

Automated testing of image captioning systems.

Boxi Yu, Zhiqing Zhong, Xinran Qin, Jiayi Yao, Yuancheng Wang, Pinjia He

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

2021

Technology Report: Multi-Mobile Robot Localization and Navigation based on Visible Light Positioning.

Yanyi Chen, Zhiqing Zhong, Shangsheng Wen, Weipeng Guan

CoRR, 2021