Test-data volume optimization for diagnosis. - Hongfei Wang; Osei Poku; Xiaochun Yu; Sizhe Liu; Ibrahima Komara; Ronald D. Blanton (DAC, 2012)

Insights from an Industrial Collaborative Assembly Project: Lessons in Research and Collaboration. - Tan Chen 001; Zhe Huang 010; 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; et al. (CoRR, 2022)

kNN-BOX: A Unified Framework for Nearest Neighbor Generation. - Wenhao Zhu; Qianfeng Zhao; Yunzhe Lv; Shujian Huang; Siheng Zhao; Sizhe Liu; Jiajun Chen 001 (EACL (Demonstrations), 2024)

Autonomy Today: Many Delay-Prone Black Boxes. - Sizhe Liu; Rohan Wagle; James H. Anderson; Ming Yang 036; Chi Zhang; Yunhua Li (ECRTS, 2024)

Multilingual Contrastive Decoding via Language-Agnostic Layers Skipping. - Wenhao Zhu; Sizhe Liu; Shujian Huang; Shuaijie She; Chris Wendler; Jiajun Chen 001 (EMNLP (Findings), 2024)

FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning. - Sizhe Liu; Jun Xia 001; Lecheng Zhang; Yuchen Liu; Yue Liu 008; Wenjie Du 003; Zhangyang Gao; Bozhen Hu; Cheng Tan 012; Hongxin Xiang; Stan Z. Li (NeurIPS, 2024)

NovoBench: Benchmarking Deep Learning-based emph{De Novo} Sequencing Methods in Proteomics. - Jingbo Zhou; Shaorong Chen; Jun Xia 001; Sizhe Liu; Tianze Ling; Wenjie Du 003; Yue Liu 008; Jianwei Yin; Stan Z. Li (NeurIPS, 2024)

AdaNovo: Adaptive emph{De Novo} Peptide Sequencing with Conditional Mutual Information. - Jun Xia 001; Shaorong Chen; Jingbo Zhou; Tianze Ling; Wenjie Du 003; Sizhe Liu; Stan Z. Li (CoRR, 2024)

NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics. - Jingbo Zhou; Shaorong Chen; Jun Xia 001; Sizhe Liu; Tianze Ling; Wenjie Du 003; Yue Liu 008; Jianwei Yin; Stan Z. Li (CoRR, 2024)

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration. - Sizhe Liu; Yizhou Lu; Siyu Chen; Xiyang Hu; Jieyu Zhao 001; Tianfan Fu; Yue Zhao 016 (CoRR, 2024)

Autonomy Today: Many Delay-Prone Black Boxes (Artifact). - Sizhe Liu; Rohan Wagle; James H. Anderson; Ming Yang 036; Chi Zhang; Yunhua Li (Dagstuhl Artifacts Ser., 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)

Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo. - Jun Xia 001; Sizhe Liu; Jingbo Zhou; Shaorong Chen; Hongxin Xiang; Zicheng Liu 006; Yue Liu 008; Stan Z. Li (ICLR, 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 (NAACL (Long Papers), 2025)

Adversarial multi-source domain generalization approach for power prediction in unknown photovoltaic systems. - Sizhe Liu; Yongsheng Qi; Dongze Li; Liqiang Liu; Shunli Wang 002; Carlos Fernandez; Xuejin Gao (Appl. Soft Comput., 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)

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)

A Semi-Supervised Enhanced Fault Diagnosis Algorithm for Complex Equipment Assisted by Digital Multitwins. - Sizhe Liu; Dezhi Xu; Chao Shen 001; Yujian Ye; Bin Jiang 001 (IEEE Trans. Instrum. Meas., 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 001; Yujian Ye; Bin Jiang 001 (IEEE Trans. Instrum. Meas., 2025)