The evolution of river topography of Northern Tibet since 8Ma B P. - Kaidao Fu; Xiaomin Fang; Chunhui Song; Qingquan Meng; Yougui Song (IGARSS, 2005)

Middle Pleistocene Climate Transition: Evidences from Rock Magnetic Record of Chinese Loess-paleosol Sequence. - Yougui Song; Masayuki Torii; Xiaomin Fang; Naoto Ishikawa (IGARSS, 2006)

Text Line Based Correction of Distorted Document Images. - Sanding Luo; Xiaomin Fang; Cong Zhao; Yisha Luo (TrustCom, 2011)

Fast DTT: a near linear algorithm for decomposing a tensor into factor tensors. - Xiaomin Fang; Rong Pan (KDD, 2014)

Personalized Tag Recommendation through Nonlinear Tensor Factorization Using Gaussian Kernel. - Xiaomin Fang; Rong Pan; Guoxiang Cao; Xiuqiang He 001; Wenyuan Dai (AAAI, 2015)

A Review of Turbidity Detection Based on Computer Vision. - Yeqi Liu; Yingyi Chen; Xiaomin Fang (IEEE Access, 2018)

Real time expert system for anomaly detection of aerators based on computer vision technology and existing surveillance cameras. - Yeqi Liu; Yingyi Chen; HuiHui Yu; Xiaomin Fang; Chuanyang Gong (CoRR, 2018)

Sequential Evaluation and Generation Framework for Combinatorial Recommender System. - Fan Wang 021; Xiaomin Fang; Lihang Liu; Yaxue Chen; Jiucheng Tao; Zhiming Peng; Cihang Jin; Hao Tian 005 (CoRR, 2019)

MBCAL: A Simple and Efficient Reinforcement Learning Method for Recommendation Systems. - Fan Wang 021; Xiaomin Fang; Lihang Liu; Hao Tian 005; Zhiming Peng (CoRR, 2019)

ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps. - Xiaomin Fang; Jizhou Huang; Fan Wang 021; Lingke Zeng; Haijin Liang; Haifeng Wang 001 (KDD, 2020)

SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps. - Xiaomin Fang; Jizhou Huang; Fan Wang 021; Lihang Liu; Yibo Sun; Haifeng Wang 001 (KDD, 2021)

Multimodal Pre-Training Model for Sequence-based Prediction of Protein-Protein Interaction. - Yang Xue; Zijing Liu; Xiaomin Fang; Fan Wang 021 (MLBC, 2021)

ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction. - Xiaomin Fang; Lihang Liu; Jieqiong Lei; Donglong He; Shanzhuo Zhang; Jingbo Zhou 003; Fan Wang 021; Hua Wu 003; Haifeng Wang 001 (CoRR, 2021)

LiteGEM: Lite Geometry Enhanced Molecular Representation Learning for Quantum Property Prediction. - Shanzhuo Zhang; Lihang Liu; Sheng Gao 003; Donglong He; Xiaomin Fang; Weibin Li; Zhengjie Huang; Weiyue Su; Wenjin Wang 003 (CoRR, 2021)

CELLS: Cost-Effective Evolution in Latent Space for Goal-Directed Molecular Generation. - Zhiyuan Chen; Xiaomin Fang; Fan Wang 021; Xiaotian Fan; Hua Wu 003; Haifeng Wang 001 (CoRR, 2021)

HelixMO: Sample-Efficient Molecular Optimization in Scene-Sensitive Latent Space. - Zhiyuan Chen; Xiaomin Fang; Zixu Hua; Yueyang Huang; Fan Wang 021; Hua Wu 003 (BIBM, 2022)

DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps. - Jizhou Huang; Zhengjie Huang; Xiaomin Fang; Shikun Feng; Xuyi Chen; Jiaxiang Liu 004; Haitao Yuan 002; Haifeng Wang 001 (CIKM, 2022)

DTSyn: a dual-transformer-based neural network to predict synergistic drug combinations. - Jing Hu; Jie Gao; Xiaomin Fang; Zijing Liu; Fan Wang 021; Weili Huang; Hua Wu 003; Guodong Zhao (Briefings Bioinform., 2022)

BatchDTA: implicit batch alignment enhances deep learning-based drug-target affinity estimation. - Hongyu Luo; Yingfei Xiang; Xiaomin Fang; Wei Li 176; Fan Wang 021; Hua Wu 003; Haifeng Wang 001 (Briefings Bioinform., 2022)

HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer. - Shanzhuo Zhang; Zhiyuan Yan 002; Yueyang Huang; Lihang Liu; Donglong He; Wei Wang; Xiaomin Fang; Xiaonan Zhang; Fan Wang 021; Hua Wu 003; Haifeng Wang 001 (Bioinform., 2022)

TCR: A Transformer Based Deep Network for Predicting Cancer Drugs Response. - Jie Gao; Jing Hu; Wanqing Sun; Yili Shen; Xiaonan Zhang; Xiaomin Fang; Fan Wang 021; Guodong Zhao (CoRR, 2022)

HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddle. - Guoxia Wang; Xiaomin Fang; Zhihua Wu; Yiqun Liu 012; Yang Xue; Yingfei Xiang; Dianhai Yu; Fan Wang 021; Yanjun Ma (CoRR, 2022)

HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative. - Xiaomin Fang; Fan Wang 021; Lihang Liu; Jingzhou He; Dayong Lin; Yingfei Xiang; Xiaonan Zhang; Hua Wu 003; Hui Li; Le Song (CoRR, 2022)

GEM-2: Next Generation Molecular Property Prediction Network with Many-body and Full-range Interaction Modeling. - Lihang Liu; Donglong He; Xiaomin Fang; Shanzhuo Zhang; Fan Wang 021; Jingzhou He; Hua Wu 003 (CoRR, 2022)

Efficient AlphaFold2 Training using Parallel Evoformer and Branch Parallelism. - Guoxia Wang; Zhihua Wu; Xiaomin Fang; Yingfei Xiang; Yiqun Liu 012; Dianhai Yu; Yanjun Ma (CoRR, 2022)

Geometry-enhanced molecular representation learning for property prediction. - Xiaomin Fang; Lihang Liu; Jieqiong Lei; Donglong He; Shanzhuo Zhang; Jingbo Zhou 003; Fan Wang 021; Hua Wu 003; Haifeng Wang 001 (Nat. Mach. Intell., 2022)

Pre-Training on Large-Scale Generated Docking Conformations with HelixDock to Unlock the Potential of Protein-ligand Structure Prediction Models. - Lihang Liu; Donglong He; Xianbin Ye; Shanzhuo Zhang; Xiaonan Zhang; Jingbo Zhou 003; Jun Li; Hua Chai; Fan Wang 021; Jingzhou He; Liang Zheng; Yonghui Li; et al. (CoRR, 2023)

A method for multiple-sequence-alignment-free protein structure prediction using a protein language model. - Xiaomin Fang; Fan Wang 021; Lihang Liu; Jingzhou He; Dayong Lin; Yingfei Xiang; Kunrui Zhu; Xiaonan Zhang; Hua Wu 003; Hui Li; Le Song (Nat. Mac. Intell., 2023)

Deep Learning with Geometry-Enhanced Molecular Representation for Augmentation of Large-Scale Docking-Based Virtual Screening. - Lan Yu; Xiao He 004; Xiaomin Fang; Lihang Liu; Jinfeng Liu 004 (J. Chem. Inf. Model., 2023)

HelixFold-Multimer: Elevating Protein Complex Structure Prediction to New Heights. - Xiaomin Fang; Jie Gao; Jing Hu; Lihang Liu; Yang Xue; Xiaonan Zhang; Kunrui Zhu (CoRR, 2024)

Unifying Sequences, Structures, and Descriptions for Any-to-Any Protein Generation with the Large Multimodal Model HelixProtX. - Zhiyuan Chen; Tianhao Chen; Chenggang Xie; Yang Xue; Xiaonan Zhang; Jingbo Zhou; Xiaomin Fang (CoRR, 2024)

Technical Report of HelixFold3 for Biomolecular Structure Prediction. - Lihang Liu; Shanzhuo Zhang; Yang Xue; Xianbin Ye; Kunrui Zhu; Yuxin Li; Yang Liu; Xiaonan Zhang; Xiaomin Fang (CoRR, 2024)

Precise Antigen-Antibody Structure Predictions Enhance Antibody Development with HelixFold-Multimer. - Jie Gao; Jing Hu; Lihang Liu; Yang Xue; Kunrui Zhu; Xiaonan Zhang; Xiaomin Fang (CoRR, 2024)

State-Specific Peptide Design Targeting G Protein-Coupled Receptors. - Yang Xue; Hong Wang; Jun Li; Jianguo Hu; Zhiyuan Chen; Zhi Zheng; Lihang Liu; Kunrui Zhu; Jingzhou He; Huanzhang Gong; Xiangqun Li; Xiaonan Zhang; et al. (J. Chem. Inf. Model., 2025)

HelixDesign-Binder: A Scalable Production-Grade Platform for Binder Design Built on HelixFold3. - Jie Gao; Jun Li; Jing Hu; Shanzhuo Zhang; Kunrui Zhu; Yueyang Huang; Xiaonan Zhang; Xiaomin Fang (CoRR, 2025)

HelixDesign-Antibody: A Scalable Production-Grade Platform for Antibody Design Built on HelixFold3. - Jie Gao; Jing Hu; Shanzhuo Zhang; Kunrui Zhu; Sheng Qian; Yueyang Huang; Xiaonan Zhang; Xiaomin Fang (CoRR, 2025)

BioScore: A Foundational Scoring Function For Diverse Biomolecular Complexes. - Yuchen Zhu; Jihong Chen; Yitong Li; Xiaomin Fang; Xianbin Ye; Jingzhou He; Xujun Zhang; Jingxuan Ge; Chao Shen 008; Xiaonan Zhang; Tingjun Hou; Chang-Yu Hsieh (CoRR, 2025)