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2020 – today
- 2024
[i18]Xiaomin Fang, Jie Gao, Jing Hu, Lihang Liu, Yang Xue, Xiaonan Zhang, Kunrui Zhu:
HelixFold-Multimer: Elevating Protein Complex Structure Prediction to New Heights. CoRR abs/2404.10260 (2024)- [i17]Zhiyuan Chen, Tianhao Chen, Chenggang Xie, Yang Xue, Xiaonan Zhang, Jingbo Zhou, Xiaomin Fang:
Unifying Sequences, Structures, and Descriptions for Any-to-Any Protein Generation with the Large Multimodal Model HelixProtX. CoRR abs/2407.09274 (2024) - [i16]Lihang Liu, Shanzhuo Zhang, Yang Xue, Xianbin Ye, Kunrui Zhu, Yuxin Li
, Yang Liu, Xiaonan Zhang, Xiaomin Fang:
Technical Report of HelixFold3 for Biomolecular Structure Prediction. CoRR abs/2408.16975 (2024) - 2023
- [j7]Lan Yu, Xiao He, Xiaomin Fang, Lihang Liu, Jinfeng Liu:
Deep Learning with Geometry-Enhanced Molecular Representation for Augmentation of Large-Scale Docking-Based Virtual Screening. J. Chem. Inf. Model. 63(21): 6501-6514 (2023) - [j6]Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Kunrui Zhu, Xiaonan Zhang, Hua Wu, Hui Li, Le Song:
A method for multiple-sequence-alignment-free protein structure prediction using a protein language model. Nat. Mac. Intell. 5(10): 1087-1096 (2023) - [i15]Lihang Liu, Donglong He, Xianbin Ye, Shanzhuo Zhang, Xiaonan Zhang, Jingbo Zhou, Jun Li, Hua Chai, Fan Wang, Jingzhou He, Liang Zheng, Yonghui Li, Xiaomin Fang:
Pre-Training on Large-Scale Generated Docking Conformations with HelixDock to Unlock the Potential of Protein-ligand Structure Prediction Models. CoRR abs/2310.13913 (2023) - 2022
- [j5]Hongyu Luo, Yingfei Xiang, Xiaomin Fang, Wei Li, Fan Wang, Hua Wu, Haifeng Wang:
BatchDTA: implicit batch alignment enhances deep learning-based drug-target affinity estimation. Briefings Bioinform. 23(4) (2022) - [j4]Jing Hu, Jie Gao, Xiaomin Fang, Zijing Liu, Fan Wang, Weili Huang, Hua Wu, Guodong Zhao:
DTSyn: a dual-transformer-based neural network to predict synergistic drug combinations. Briefings Bioinform. 23(5) (2022) - [j3]Shanzhuo Zhang, Zhiyuan Yan, Yueyang Huang, Lihang Liu, Donglong He, Wei Wang, Xiaomin Fang, Xiaonan Zhang, Fan Wang, Hua Wu, Haifeng Wang:
HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer. Bioinform. 38(13): 3444-3453 (2022) - [j2]Xiaomin Fang, Lihang Liu, Jieqiong Lei, Donglong He, Shanzhuo Zhang, Jingbo Zhou, Fan Wang, Hua Wu, Haifeng Wang:
Geometry-enhanced molecular representation learning for property prediction. Nat. Mach. Intell. 4(2): 127-134 (2022) - [c10]Zhiyuan Chen, Xiaomin Fang, Zixu Hua, Yueyang Huang, Fan Wang, Hua Wu:
HelixMO: Sample-Efficient Molecular Optimization in Scene-Sensitive Latent Space. BIBM 2022: 315-321 - [c9]Jizhou Huang, Zhengjie Huang, Xiaomin Fang, Shikun Feng, Xuyi Chen, Jiaxiang Liu, Haitao Yuan, Haifeng Wang:
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps. CIKM 2022: 3172-3181 - [i14]Shanzhuo Zhang, Zhiyuan Yan, Yueyang Huang, Lihang Liu, Donglong He, Wei Wang, Xiaomin Fang, Xiaonan Zhang, Fan Wang, Hua Wu, Haifeng Wang:
HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer. CoRR abs/2205.08055 (2022) - [i13]Jie Gao, Jing Hu, Wanqing Sun, Yili Shen, Xiaonan Zhang, Xiaomin Fang, Fan Wang, Guodong Zhao:
TCR: A Transformer Based Deep Network for Predicting Cancer Drugs Response. CoRR abs/2207.04457 (2022) - [i12]Guoxia Wang, Xiaomin Fang, Zhihua Wu, Yiqun Liu, Yang Xue, Yingfei Xiang, Dianhai Yu, Fan Wang, Yanjun Ma:
HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddle. CoRR abs/2207.05477 (2022) - [i11]Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Xiaonan Zhang, Hua Wu, Hui Li, Le Song:
HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative. CoRR abs/2207.13921 (2022) - [i10]Lihang Liu, Donglong He, Xiaomin Fang, Shanzhuo Zhang, Fan Wang, Jingzhou He, Hua Wu:
GEM-2: Next Generation Molecular Property Prediction Network with Many-body and Full-range Interaction Modeling. CoRR abs/2208.05863 (2022) - [i9]Jizhou Huang, Zhengjie Huang, Xiaomin Fang, Shikun Feng, Xuyi Chen, Jiaxiang Liu, Haitao Yuan, Haifeng Wang:
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps. CoRR abs/2208.06979 (2022) - [i8]Guoxia Wang, Zhihua Wu, Xiaomin Fang, Yingfei Xiang, Yiqun Liu, Dianhai Yu, Yanjun Ma:
Efficient AlphaFold2 Training using Parallel Evoformer and Branch Parallelism. CoRR abs/2211.00235 (2022) - 2021
- [c8]Xiaomin Fang, Jizhou Huang, Fan Wang, Lihang Liu, Yibo Sun, Haifeng Wang:
SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps. KDD 2021: 2840-2848 - [c7]Yang Xue, Zijing Liu, Xiaomin Fang, Fan Wang:
Multimodal Pre-Training Model for Sequence-based Prediction of Protein-Protein Interaction. MLBC 2021: 34-46 - [i7]Xiaomin Fang, Lihang Liu, Jieqiong Lei, Donglong He, Shanzhuo Zhang, Jingbo Zhou, Fan Wang, Hua Wu, Haifeng Wang:
ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction. CoRR abs/2106.06130 (2021) - [i6]Shanzhuo Zhang, Lihang Liu, Sheng Gao, Donglong He, Xiaomin Fang, Weibin Li, Zhengjie Huang, Weiyue Su, Wenjin Wang:
LiteGEM: Lite Geometry Enhanced Molecular Representation Learning for Quantum Property Prediction. CoRR abs/2106.14494 (2021) - [i5]Zhiyuan Chen, Xiaomin Fang, Fan Wang, Xiaotian Fan, Hua Wu, Haifeng Wang:
CELLS: Cost-Effective Evolution in Latent Space for Goal-Directed Molecular Generation. CoRR abs/2112.00905 (2021) - [i4]Yang Xue, Zijing Liu, Xiaomin Fang, Fan Wang:
Multimodal Pre-Training Model for Sequence-based Prediction of Protein-Protein Interaction. CoRR abs/2112.04814 (2021) - 2020
- [c6]Xiaomin Fang, Jizhou Huang, Fan Wang, Lingke Zeng, Haijin Liang, Haifeng Wang:
ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps. KDD 2020: 2697-2705
2010 – 2019
- 2019
- [i3]Fan Wang, Xiaomin Fang, Lihang Liu, Yaxue Chen, Jiucheng Tao, Zhiming Peng, Cihang Jin, Hao Tian:
Sequential Evaluation and Generation Framework for Combinatorial Recommender System. CoRR abs/1902.00245 (2019) - [i2]Fan Wang, Xiaomin Fang, Lihang Liu, Hao Tian, Zhiming Peng:
MBCAL: A Simple and Efficient Reinforcement Learning Method for Recommendation Systems. CoRR abs/1911.02248 (2019) - 2018
- [j1]Yeqi Liu, Yingyi Chen, Xiaomin Fang:
A Review of Turbidity Detection Based on Computer Vision. IEEE Access 6: 60586-60604 (2018) - [i1]Yeqi Liu, Yingyi Chen, HuiHui Yu, Xiaomin Fang, Chuanyang Gong:
Real time expert system for anomaly detection of aerators based on computer vision technology and existing surveillance cameras. CoRR abs/1810.04108 (2018) - 2015
- [c5]Xiaomin Fang, Rong Pan, Guoxiang Cao, Xiuqiang He, Wenyuan Dai:
Personalized Tag Recommendation through Nonlinear Tensor Factorization Using Gaussian Kernel. AAAI 2015: 439-445 - 2014
- [c4]Xiaomin Fang, Rong Pan:
Fast DTT: a near linear algorithm for decomposing a tensor into factor tensors. KDD 2014: 967-976 - 2011
- [c3]Sanding Luo, Xiaomin Fang, Cong Zhao, Yisha Luo:
Text Line Based Correction of Distorted Document Images. TrustCom 2011: 1494-1499
2000 – 2009
- 2006
- [c2]Yougui Song, Masayuki Torii, Xiaomin Fang, Naoto Ishikawa:
Middle Pleistocene Climate Transition: Evidences from Rock Magnetic Record of Chinese Loess-paleosol Sequence. IGARSS 2006: 1580-1583 - 2005
- [c1]Kaidao Fu, Xiaomin Fang, Chunhui Song, Qingquan Meng, Yougui Song:
The evolution of river topography of Northern Tibet since 8Ma B P. IGARSS 2005: 2183-2186
Coauthor Index
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