Sizhe Liu

According to our database, Sizhe Liu authored at least 19 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Intelligent Fault Diagnosis for Battery Packs Using FCE-GCN: Addressing the Challenges of Class Imbalance and Feature Similarity.

Sizhe Liu, Dezhi Xu, Chao Shen, Yujian Ye, Bin Jiang

IEEE Trans. Instrum. Meas., 2025

A Semi-Supervised Enhanced Fault Diagnosis Algorithm for Complex Equipment Assisted by Digital Multitwins.

Sizhe Liu, Dezhi Xu, Chao Shen, Yujian Ye, Bin Jiang

IEEE Trans. Instrum. Meas., 2025

High-Dimensional Feature Adaptive Selection and Season-Specific Short-Term Photovoltaic Power Forecast.

Dongze Li, Yongsheng Qi, Liqiang Liu, Sizhe Liu, Xuejin Gao

IEEE Trans. Instrum. Meas., 2025

Intelligent fault diagnosis for unbalanced battery data using adversarial domain expansion and enhanced stochastic configuration networks.

Sizhe Liu, Dezhi Xu, Yujian Ye, Tinglong Pan

Inf. Sci., 2025

Adversarial multi-source domain generalization approach for power prediction in unknown photovoltaic systems.

Sizhe Liu, Yongsheng Qi, Dongze Li, Liqiang Liu, Shunli Wang, Carlos Fernandez, Xuejin Gao

Appl. Soft Comput., 2025

Large Language Models Are Cross-Lingual Knowledge-Free Reasoners.

Peng Hu, Sizhe Liu, Changjiang Gao, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Shujian Huang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo.

Jun Xia, Sizhe Liu, Jingbo Zhou, Shaorong Chen, Hongxin Xiang, Zicheng Liu, Yue Liu, Stan Z. Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Adaptive fusion transfer learning-based digital multitwin-assised intelligent fault diagnosis.

Sizhe Liu, Yongsheng Qi, Liqiang Liu, Ran Ma, Dongze Li

Knowl. Based Syst., 2024

Autonomy Today: Many Delay-Prone Black Boxes (Artifact).

Sizhe Liu, Rohan Wagle, James H. Anderson, Ming Yang, Chi Zhang, Yunhua Li

Dagstuhl Artifacts Ser., 2024

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration.

Sizhe Liu, Yizhou Lu, Siyu Chen, Xiyang Hu, Jieyu Zhao, Tianfan Fu, Yue Zhao

CoRR, 2024

NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics.

Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li

CoRR, 2024

AdaNovo: Adaptive \emph{De Novo} Peptide Sequencing with Conditional Mutual Information.

Jun Xia, Shaorong Chen, Jingbo Zhou, Tianze Ling, Wenjie Du, Sizhe Liu, Stan Z. Li

CoRR, 2024

NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics.

Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning.

Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multilingual Contrastive Decoding via Language-Agnostic Layers Skipping.

Wenhao Zhu, Sizhe Liu, Shujian Huang, Shuaijie She, Chris Wendler, Jiajun Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Autonomy Today: Many Delay-Prone Black Boxes.

Sizhe Liu, Rohan Wagle, James H. Anderson, Ming Yang, Chi Zhang, Yunhua Li

Proceedings of the 36th Euromicro Conference on Real-Time Systems, 2024

kNN-BOX: A Unified Framework for Nearest Neighbor Generation.

Wenhao Zhu, Qianfeng Zhao, Yunzhe Lv, Shujian Huang, Siheng Zhao, Sizhe Liu, Jiajun Chen

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2022

Insights from an Industrial Collaborative Assembly Project: Lessons in Research and Collaboration.

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

CoRR, 2022

2012

Test-data volume optimization for diagnosis.

Hongfei Wang, Osei Poku, Xiaochun Yu, Sizhe Liu, Ibrahima Komara, Ronald D. Blanton

Proceedings of the 49th Annual Design Automation Conference 2012, 2012