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2020 – today
- 2024
[j1]Yifei He, Runxiang Cheng, Gargi Balasubramaniam, Yao-Hung Hubert Tsai, Han Zhao:
Efficient Modality Selection in Multimodal Learning. J. Mach. Learn. Res. 25: 47:1-47:39 (2024)- [c6]Runxiang Cheng
, Shuai Wang, Reyhaneh Jabbarvand, Darko Marinov:
Revisiting Test-Case Prioritization on Long-Running Test Suites. ISSTA 2024: 615-627 - 2023
- [c5]Runxiang Cheng, Chris Cai, Selman Yilmaz, Rahul Mitra, Malay Bag, Mrinmoy Ghosh, Tianyin Xu:
Towards GPU Memory Efficiency for Distributed Training at Scale. SoCC 2023: 281-297 - [i3]Xinyu Lian, Yinfang Chen, Runxiang Cheng, Jie Huang, Parth Thakkar, Tianyin Xu:
Configuration Validation with Large Language Models. CoRR abs/2310.09690 (2023) - 2022
- [c4]Runxiang Cheng, Gargi Balasubramaniam, Yifei He, Yao-Hung Hubert Tsai, Han Zhao:
Greedy modality selection via approximate submodular maximization. UAI 2022: 389-399 - [i2]Runxiang Cheng, Gargi Balasubramaniam, Yifei He, Yao-Hung Hubert Tsai, Han Zhao:
Greedy Modality Selection via Approximate Submodular Maximization. CoRR abs/2210.12562 (2022) - 2021
- [c3]Runxiang Cheng, Lingming Zhang, Darko Marinov, Tianyin Xu:
Test-case prioritization for configuration testing. ISSTA 2021: 452-465 - 2020
- [c2]Xudong Sun, Runxiang Cheng, Jianyan Chen, Elaine Ang, Owolabi Legunsen, Tianyin Xu:
Testing Configuration Changes in Context to Prevent Production Failures. OSDI 2020: 735-751
2010 – 2019
- 2018
- [c1]Mingyang Zhou, Runxiang Cheng, Yong Jae Lee, Zhou Yu:
A Visual Attention Grounding Neural Model for Multimodal Machine Translation. EMNLP 2018: 3643-3653 - [i1]Mingyang Zhou, Runxiang Cheng, Yong Jae Lee, Zhou Yu:
A Visual Attention Grounding Neural Model for Multimodal Machine Translation. CoRR abs/1808.08266 (2018)
Coauthor Index
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