A Visual Attention Grounding Neural Model for Multimodal Machine Translation. - Mingyang Zhou 004; Runxiang Cheng; Yong Jae Lee; Zhou Yu 005 (EMNLP, 2018)

Testing Configuration Changes in Context to Prevent Production Failures. - Xudong Sun 013; Runxiang Cheng; Jianyan Chen; Elaine Ang; Owolabi Legunsen; Tianyin Xu (OSDI, 2020)

Test-case prioritization for configuration testing. - Runxiang Cheng; Lingming Zhang 001; Darko Marinov; Tianyin Xu (ISSTA, 2021)

Greedy modality selection via approximate submodular maximization. - Runxiang Cheng; Gargi Balasubramaniam; Yifei He; Yao-Hung Hubert Tsai; Han Zhao 002 (UAI, 2022)

Towards GPU Memory Efficiency for Distributed Training at Scale. - Runxiang Cheng; Chris Cai; Selman Yilmaz; Rahul Mitra; Malay Bag; Mrinmoy Ghosh; Tianyin Xu (SoCC, 2023)

Configuration Validation with Large Language Models. - Xinyu Lian; Yinfang Chen; Runxiang Cheng; Jie Huang 009; Parth Thakkar; Tianyin Xu (CoRR, 2023)

Revisiting Test-Case Prioritization on Long-Running Test Suites. - Runxiang Cheng; Shuai Wang 035; Reyhaneh Jabbarvand; Darko Marinov (ISSTA, 2024)

Efficient Modality Selection in Multimodal Learning. - Yifei He; Runxiang Cheng; Gargi Balasubramaniam; Yao-Hung Hubert Tsai; Han Zhao 002 (J. Mach. Learn. Res., 2024)

Large Language Models as Configuration Validators. - Xinyu Lian; Yinfang Chen; Runxiang Cheng; Jie Huang 009; Parth Thakkar; Minjia Zhang; Tianyin Xu (ICSE, 2025)

pytest-ranking: A Regression Test Prioritization Tool for Python. - Runxiang Cheng; Kaiyao Ke; Darko Marinov (SIGSOFT FSE Companion, 2025)

Agentic Bug Reproduction for Effective Automated Program Repair at Google. - Runxiang Cheng; Michele Tufano; Jürgen Cito; José Cambronero; Pat Rondon; Renyao Wei; Aaron Sun; Satish Chandra 001 (CoRR, 2025)

Abstain and Validate: A Dual-LLM Policy for Reducing Noise in Agentic Program Repair. - José Cambronero; Michele Tufano; Sherry Shi; Renyao Wei; Grant Uy; Runxiang Cheng; Chin-Jung Liu 001; Shiying Pan; Satish Chandra 001; Pat Rondon (CoRR, 2025)