Design of Precision Configurable Multiply Accumulate Unit for Neural Network Accelerator. - Jian Chen; Xinru Zhou; Xinhe Li; Lijie Wang; Shengli Lu; Hao Liu (AIoTC, 2022)

KGCODE-Tab Results for SemTab 2022. - Xinhe Li; Shuxin Wang; Wei Zhou; Gongrui Zhang; Chenghuan Jiang; Tianyu Hong; Peng Wang (SemTab@ISWC, 2022)

Matching Tabular Data to Knowledge Graph Based on Multi-level Scoring Filters for Table Entity Disambiguation. - Xinhe Li; Chenghuan Jiang; Peng Wang (APWeb/WAIM (2), 2024)

stBERT: A Pretrained Model for Spatial Domain Identification of Spatial Transcriptomics. - Ziheng Wang; Xinhe Li; Hiroaki Takada; Ryoichi Nagatomi (IEEE Access, 2024)

AbGraftBERT: Enhancing Antibody Design Through Self-Grafting and Amino Acid-Based Perturbation of Pre- Trained Language Models. - Ziheng Wang; Xinhe Li; Ying Xie; Zeyu Wen; Ruinian Jin; Hiroaki Takada; Ryoichi Nagatomi (IEEE Access, 2024)

COEFF-KANs: A Paradigm to Address the Electrolyte Field with KANs. - Xinhe Li; Zhuoying Feng; Yezeng Chen; Weichen Dai 002; Zixu He; Yi Zhou; Shuhong Jiao (CoRR, 2024)

MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation. - Ziheng Wang; Xinhe Li; Haruki Momma; Ryoichi Nagatomi (CoRR, 2024)

KALE-LM: Unleash The Power Of AI For Science Via Knowledge And Logic Enhanced Large Model. - Weichen Dai 002; Yezeng Chen; Zijie Dai; Zhijie Huang; Yubo Liu; Yixuan Pan; Baiyang Song; Chengli Zhong; Xinhe Li; Zeyu Wang; Zhuoying Feng; Yi Zhou (CoRR, 2024)

RLDBF: Enhancing LLMs Via Reinforcement Learning With DataBase FeedBack. - Weichen Dai 002; Zijie Dai; Zhijie Huang; Yixuan Pan; Xinhe Li; Xi Li; Yi Zhou; Ji Qi; Jiang Wu (CoRR, 2025)