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Zihe Song
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2020 – today
- 2024
- [c10]Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea:
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. ACL (Findings) 2024: 338-354 - [c9]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu:
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CIKM 2024: 3248-3258 - [c8]Dezhi Ran
, Hao Wang
Guardian: A Runtime Framework for LLM-Based UI Exploration. ISSTA 2024: 958-970 - [c7]Xinyue Liu, Zihe Song, Weike Fang, Wei Yang, Weihang Wang:
WEFix: Intelligent Automatic Generation of Explicit Waits for Efficient Web End-to-End Flaky Tests. WWW 2024: 3043-3052 - [i9]Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu:
Cyclic Neural Network. CoRR abs/2402.03332 (2024) - [i8]Xinyue Liu, Zihe Song, Weike Fang, Wei Yang, Weihang Wang:
WEFix: Intelligent Automatic Generation of Explicit Waits for Efficient Web End-to-End Flaky Tests. CoRR abs/2402.09745 (2024) - [i7]Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea:
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. CoRR abs/2404.15592 (2024) - [i6]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu:
Mixed Supervised Graph Contrastive Learning for Recommendation. CoRR abs/2404.15954 (2024) - [i5]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu:
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CoRR abs/2407.18910 (2024) - [i4]Wooseong Yang, Chen Wang, Zihe Song, Weizhi Zhang, Philip S. Yu:
Item Cluster-aware Prompt Learning for Session-based Recommendation. CoRR abs/2410.04756 (2024) - 2022
- [c6]Simin Chen, Zihe Song, Mirazul Haque, Cong Liu, Wei Yang:
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models. CVPR 2022: 15344-15353 - [c5]Zihe Song, Yingfeng Chen, Lei Ma, Shangjie Lu, Honglei Lin, Changjie Fan, Wei Yang:
An Empirical Analysis of Compatibility Issues for Industrial Mobile Games (Practical Experience Report). ISSRE 2022: 217-228 - [c4]Simin Chen, Cong Liu, Mirazul Haque, Zihe Song, Wei Yang:
NMTSloth: understanding and testing efficiency degradation of neural machine translation systems. ESEC/SIGSOFT FSE 2022: 1148-1160 - [i3]Simin Chen, Zihe Song, Mirazul Haque, Cong Liu, Wei Yang:
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models. CoRR abs/2203.15859 (2022) - [i2]Simin Chen, Cong Liu, Mirazul Haque, Zihe Song, Wei Yang:
NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems. CoRR abs/2210.03696 (2022) - 2021
- [c3]Alan Romano, Zihe Song, Sampath Grandhi, Wei Yang, Weihang Wang:
UI-Based Flaky Tests Dataset. ICSE (Companion Volume) 2021: 234-235 - [c2]Alan Romano
An Empirical Analysis of UI-based Flaky Tests. ICSE 2021: 1585-1597 - [i1]Alan Romano, Zihe Song, Sampath Grandhi, Wei Yang, Weihang Wang:
An Empirical Analysis of UI-based Flaky Tests. CoRR abs/2103.02669 (2021) - 2020
- [c1]Zihe Song:
An automated framework for gaming platform to test multiple games. ICSE (Companion Volume) 2020: 134-136
Coauthor Index
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