A comprehensive comparison of residue-level methylation levels with the regression-based gene-level methylation estimations by ReGear. - Jinpu Cai; Yuyang Xu; Wen Zhang; Shiying Ding; Yuewei Sun; Jingyi Lyu; Meiyu Duan; Shuai Liu 010; Lan Huang 002; Fengfeng Zhou (Briefings Bioinform., 2021)

SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group Sparsity. - Haitao Xu; Songwei Liu; Yuyang Xu; Shuai Wang; Jiashi Li; Chenqian Yan; Liangqiang Li; Lean Fu; Xin Pan; Fangmin Chen (CoRR, 2023)

Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction. - Yuyang Xu; Haochao Ying; Siyi Qian; Fuzhen Zhuang; Xiao Zhang 015; Deqing Wang; Jian Wu 001; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

ERStruct: a fast Python package for inferring the number of top principal components from whole genome sequencing data. - Jinghan Yang; Yuyang Xu; Minhao Yao; Gao Wang; Zhonghua Liu (BMC Bioinform., 2023)

BioGSF: a graph-driven semantic feature integration framework for biomedical relation extraction. - Yang Yang; Zixuan Zheng; Yuyang Xu; Huifang Wei; Wenying Yan (Briefings Bioinform., 2024)

PoCo: A Self-Supervised Approach via Polar Transformation Based Progressive Contrastive Learning for Ophthalmic Disease Diagnosis. - Jinhong Wang; Tingting Chen 002; Jintai Chen; Yixuan Wu; Yuyang Xu; Danny Chen 001; Haochao Ying; Jian Wu 001 (CoRR, 2024)

Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. - Kendall Schmidt; Ben Bearce; Ken Chang; Laura Coombs; Keyvan Farahani; Marawan Elbatel; Kaouther Mouheb; Robert Marti; Ruipeng Zhang; Yao Zhang 010; Yanfeng Wang 001; Yaojun Hu; et al. (CoRR, 2024)

LLMs Can Simulate Standardized Patients via Agent Coevolution. - Zhuoyun Du; Lujie Zheng; Renjun Hu; Yuyang Xu; Xiawei Li; Ying Sun; Wei Chen 001; Jian Wu 001; Haolei Cai; Haohao Ying (CoRR, 2024)

Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. - Kendall Schmidt; Benjamin Bearce; Ken Chang; Laura Coombs; Keyvan Farahani; Marawan Elbatel; Kaouther Mouheb; Robert Marti; Ruipeng Zhang; Ya Zhang 002; Yanfeng Wang 001; Yaojun Hu; et al. (Medical Image Anal., 2024)

A Protein-Context Enhanced Master Slave Framework for Zero-Shot Drug Target Interaction Prediction. - Yuyang Xu; Jingbo Zhou; Haochao Ying; Jintai Chen; Wei Chen 001; Danny Z. Chen; Jian Wu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

LLMs Can Simulate Standardized Patients via Agent Coevolution. - Zhuoyun Du; Lujie Zheng; Renjun Hu; Yuyang Xu; Xiawei Li; Ying Sun; Wei Chen 001; Jian Wu 001; Haolei Cai; Haochao Ying (ACL (1), 2025)

A Progressively-Passing-Then-Disentangling Approach to Recipe Recommendation. - Chunlai Dong; Haochao Ying; Renjun Hu; Yuyang Xu; Jintai Chen; Fuzhen Zhuang; Jian Wu 001 (IEEE Trans. Multim., 2025)

Large language models could be rote learners. - Yuyang Xu; Renjun Hu; Haochao Ying; Jian Wu 001; Xing Shi; Wei Lin 016 (CoRR, 2025)

SSPO: Self-traced Step-wise Preference Optimization for Process Supervision and Reasoning Compression. - Yuyang Xu; Yi Cheng; Haochao Ying; Zhuoyun Du; Renjun Hu; Xing Shi; Wei Lin 016; Jian Wu 001 (CoRR, 2025)