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ORCIDSizhe Liu
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2020 – today
- 2025
[j3]Sizhe Liu
, Dezhi Xu, Yujian Ye, Tinglong Pan:
Intelligent fault diagnosis for unbalanced battery data using adversarial domain expansion and enhanced stochastic configuration networks. Inf. Sci. 687: 121399 (2025)- 2024
- [j2]Sizhe Liu, Rohan Wagle, James H. Anderson, Ming Yang, Chi Zhang, Yunhua Li:
Autonomy Today: Many Delay-Prone Black Boxes (Artifact). Dagstuhl Artifacts Ser. 10(1): 3:1-3:3 (2024) - [j1]Sizhe Liu, Yongsheng Qi, Liqiang Liu, Ran Ma, Dongze Li:
Adaptive fusion transfer learning-based digital multitwin-assised intelligent fault diagnosis. Knowl. Based Syst. 297: 111923 (2024) - [c4]Wenhao Zhu, Qianfeng Zhao, Yunzhe Lv, Shujian Huang, Siheng Zhao, Sizhe Liu, Jiajun Chen:
kNN-BOX: A Unified Framework for Nearest Neighbor Generation. EACL (Demonstrations) 2024: 10-17 - [c3]Sizhe Liu, Rohan Wagle, James H. Anderson, Ming Yang, Chi Zhang, Yunhua Li:
Autonomy Today: Many Delay-Prone Black Boxes. ECRTS 2024: 12:1-12:27 - [c2]Wenhao Zhu, Sizhe Liu, Shujian Huang, Shuaijie She, Chris Wendler, Jiajun Chen:
Multilingual Contrastive Decoding via Language-Agnostic Layers Skipping. EMNLP (Findings) 2024: 8775-8782 - [i7]Jun Xia, Shaorong Chen, Jingbo Zhou, Tianze Ling, Wenjie Du, Sizhe Liu, Stan Z. Li:
AdaNovo: Adaptive \emph{De Novo} Peptide Sequencing with Conditional Mutual Information. CoRR abs/2403.07013 (2024) - [i6]Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li:
NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics. CoRR abs/2406.11906 (2024) - [i5]Peng Hu, Sizhe Liu, Changjiang Gao, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Shujian Huang:
Large Language Models Are Cross-Lingual Knowledge-Free Reasoners. CoRR abs/2406.16655 (2024) - [i4]Wenhao Zhu, Sizhe Liu, Shujian Huang, Shuaijie She, Chris Wendler, Jiajun Chen:
Multilingual Contrastive Decoding via Language-Agnostic Layers Skipping. CoRR abs/2407.10795 (2024) - [i3]Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li:
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning. CoRR abs/2410.15010 (2024) - 2023
- [i2]Wenhao Zhu, Qianfeng Zhao, Yunzhe Lv, Shujian Huang, Siheng Zhao, Sizhe Liu, Jiajun Chen:
kNN-BOX: A Unified Framework for Nearest Neighbor Generation. CoRR abs/2302.13574 (2023) - 2022
- [i1]Tan Chen, Zhe Huang, James Motes, Junyi Geng, Quang Minh Ta, Holly Dinkel, Hameed Abdul-Rashid, Jessica Myers, Ye-Ji Mun, Wei-che Lin, Yuan-yung Huang, Sizhe Liu, Marco Morales, Nancy M. Amato, Katherine Rose Driggs-Campbell, Timothy Bretl:
Insights from an Industrial Collaborative Assembly Project: Lessons in Research and Collaboration. CoRR abs/2205.14340 (2022)
2010 – 2019
- 2012
- [c1]Hongfei Wang, Osei Poku, Xiaochun Yu, Sizhe Liu, Ibrahima Komara, Ronald D. Blanton:
Test-data volume optimization for diagnosis. DAC 2012: 567-572
Coauthor Index
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