On the Selection of Strength for Fixed-Strength Interaction Coverage Based Prioritization. - Rubing Huang; Weiwen Zong; Tsong Yueh Chen; Dave Towey; Jinfu Chen 001; Yunan Zhou; Weifeng Sun 004 (COMPSAC (1), 2018)

Poster: Is Euclidean Distance the best Distance Measurement for Adaptive Random Testing? - Rubing Huang; Chenhui Cui; Weifeng Sun 004; Dave Towey (ICST, 2020)

Regression test case prioritization by code combinations coverage. - Rubing Huang; Quanjun Zhang; Dave Towey; Weifeng Sun 004; Jinfu Chen 001 (J. Syst. Softw., 2020)

Abstract Test Case Prioritization Using Repeated Small-Strength Level-Combination Coverage. - Rubing Huang; Weifeng Sun 004; Tsong Yueh Chen; Dave Towey; Jinfu Chen 001; Weiwen Zong; Yunan Zhou (IEEE Trans. Reliab., 2020)

KD-RRT: Restricted Random Testing based on K-Dimensional Tree. - Junlong Lian; Chenhui Cui; Weifeng Sun 004; Yiming Wu; Rubing Huang (DSA, 2021)

Which type of exclusion region is better for restricted random testing?: an empirical study. - Weifeng Sun 004; Rubing Huang; Chenhui Cui; Haibo Chen 005; Weijie Liu (SAC, 2021)

VPPS-ART: An Efficient Implementation of Fixed-Size-Candidate-Set Adaptive Random Testing using Vantage Point Partitioning Strategy. - Rubing Huang; Chenhui Cui; Dave Towey; Weifeng Sun 004; Junlong Lian (CoRR, 2021)

Identification of Failure Regions for Programs With Numeric Inputs. - Rubing Huang; Weifeng Sun 004; Tsong Yueh Chen; Sebastian Ng; Jin-Fu Chen 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

A Survey on Adaptive Random Testing. - Rubing Huang; Weifeng Sun 004; Yinyin Xu; Haibo Chen 005; Dave Towey; Xin Xia 001 (IEEE Trans. Software Eng., 2021)

Candidate test set reduction for adaptive random testing: An overheads reduction technique. - Rubing Huang; Haibo Chen 005; Weifeng Sun 004; Dave Towey (Sci. Comput. Program., 2022)

A nearest-neighbor divide-and-conquer approach for adaptive random testing. - Rubing Huang; Weifeng Sun 004; Haibo Chen 005; Chenhui Cui; Ning Yang (Sci. Comput. Program., 2022)

Revisiting and Improving Retrieval-Augmented Deep Assertion Generation. - Weifeng Sun 004; Hongyan Li; Meng Yan 001; Yan Lei; Hongyu Zhang 002 (ASE, 2023)

Just-In-Time Method Name Updating With Heuristics and Neural Model. - Zhenting Guo; Meng Yan 001; Hongyan Li; Zhezhe Chen; Weifeng Sun 004 (QRS, 2023)

Extended Abstract of Candidate Test Set Reduction for Adaptive Random Testing: An Overheads Reduction Technique. - Rubing Huang; Haibo Chen 005; Weifeng Sun 004; Dave Towey (SANER, 2023)

An Adaptive Partition-Based Approach for Adaptive Random Testing on Real Programs. - Yisheng Xia; Weifeng Sun 004; Meng Yan 001; Lei Xu; Dan Yang 001 (SANER, 2023)

A first look at bug report templates on GitHub. - Hongyan Li; Meng Yan 001; Weifeng Sun 004; Xiao Liu 004; Yunsong Wu (J. Syst. Softw., 2023)

Revisiting the Identification of the Co-evolution of Production and Test Code. - Weifeng Sun 004; Meng Yan 001; Zhongxin Liu 002; Xin Xia 001; Yan Lei; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2023)

VPP-ART: An Efficient Implementation of Fixed-Size-Candidate-Set Adaptive Random Testing Using Vantage Point Partitioning. - Rubing Huang; Chenhui Cui; Dave Towey; Weifeng Sun 004; Junlong Lian (IEEE Trans. Reliab., 2023)

Robust Test Selection for Deep Neural Networks. - Weifeng Sun 004; Meng Yan 001; Zhongxin Liu 002; David Lo 001 (IEEE Trans. Software Eng., 2023)

DFEPT: Data Flow Embedding for Enhancing Pre-Trained Model Based Vulnerability Detection. - Zhonghao Jiang; Weifeng Sun 004; Xiaoyan Gu; Jiaxin Wu; Tao Wen 012; Haibo Hu 002; Meng Yan 001 (Internetware, 2024)

Toward Cost-Effective Adaptive Random Testing: An Approximate Nearest Neighbor Approach. - Rubing Huang; Chenhui Cui; Junlong Lian; Dave Towey; Weifeng Sun 004; Haibo Chen 005 (IEEE Trans. Software Eng., 2024)

Method-Level Test-to-Code Traceability Link Construction by Semantic Correlation Learning. - Weifeng Sun 004; Zhenting Guo; Meng Yan 001; Zhongxin Liu 002; Yan Lei; Hongyu Zhang 002 (IEEE Trans. Software Eng., 2024)

Iterative Generation of Adversarial Example for Deep Code Models. - Li Huang; Weifeng Sun 004; Meng Yan 001 (ICSE, 2025)

Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing. - Li Huang; Weifeng Sun 004; Meng Yan 001; Zhongxin Liu 002; Yan Lei; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2025)

Exploring Automated Assertion Generation via Large Language Models. - Quanjun Zhang; Weifeng Sun 004; Chunrong Fang; Bowen Yu; Hongyan Li; Meng Yan 001; Jianyi Zhou; Zhenyu Chen 001 (ACM Trans. Softw. Eng. Methodol., 2025)

Retrieval-Augmented Fine-Tuning for Improving Retrieve-and-Edit Based Assertion Generation. - Hongyan Li; Weifeng Sun 004; Meng Yan 001; Ling Xu; Qiang Li; Xiaohong Zhang 002; Hongyu Zhang 002 (IEEE Trans. Software Eng., 2025)

DeepVec: State-Vector Aware Test Case Selection for Enhancing Recurrent Neural Network. - Zhonghao Jiang; Meng Yan 001; Li Huang; Weifeng Sun 004; Chao Liu 014; Song Sun; David Lo 001 (IEEE Trans. Software Eng., 2025)

Tab: template-aware bug report title generation via two-phase fine-tuned models. - Xiao Liu 004; Yinkang Xu; Weifeng Sun 004; Naiqi Huang; Song Sun; Qiang Li; Dan Yang 001; Meng Yan 001 (Autom. Softw. Eng., 2025)