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ORCIDHao Tian 0010
Person information
- affiliation: Southern Methodist University, Dallas, TX, USA
Other persons with the same name
- Hao Tian — disambiguation page
- Hao Tian 0001 — Georgia State University, Department of Computer Science, Atlanta, GA, USA
- Hao Tian 0002
![[0000-0001-5760-7792]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5760-7792")
— Hubei University of Economics, School of Information Engineering, China (and 1 more) - Hao Tian 0003 — Shanghai Key Laboratory of Trustworthy Computing, China (and 1 more)
- Hao Tian 0004 — University of Alberta, Department of Electrical and Computer Engineering, Edmonton, AB, Canada
- Hao Tian 0005 — Baidu Inc., Beijing, China
- Hao Tian 0006 — SenseTime, Beijing, China (and 1 more)
- Hao Tian 0007 — Beijing Technology and Business University, Beijing
- Hao Tian 0008 — Soochow University, Suzhou, China
- Hao Tian 0009 — Hubei University of Economics, Wuhan, China
- Hao Tian 0011 — Dalian Maritime University, Dalian, China
- Hao Tian 0012 — Nanjing University of Information Science and Technology, Nanjing, China
- Hao Tian 0013 — Anhui University of Technology, Ma'anshan, China
- Hao Tian 0014 — Hong Kong Polytechnic University, Hung Hom, Hong Kong, SAR, China
- Hao Tian 0015 — Beihang University, Beijing, China
- Hao Tian 0016 — Tsinghua University, Beijing, China
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2020 – today
- 2023
[j5]Hao Tian, Sian Xiao, Xi Jiang, Peng Tao:
PASSerRank: Prediction of allosteric sites with learning to rank. J. Comput. Chem. 44(28): 2223-2229 (2023)- [j4]Hao Tian, Xi Jiang, Sian Xiao, Hunter La Force, Eric C. Larson, Peng Tao:
LAST: Latent Space-Assisted Adaptive Sampling for Protein Trajectories. J. Chem. Inf. Model. 63(1): 67-75 (2023) - [j3]Hao Tian, Sian Xiao, Xi Jiang, Peng Tao:
PASSer: fast and accurate prediction of protein allosteric sites. Nucleic Acids Res. 51(W1): 427-431 (2023) - 2021
- [j2]Hao Tian, Xi Jiang, Peng Tao:
PASSer: prediction of allosteric sites server. Mach. Learn. Sci. Technol. 2(3): 35015 (2021) - 2020
- [j1]Hao Tian, Peng Tao:
ivis Dimensionality Reduction Framework for Biomacromolecular Simulations. J. Chem. Inf. Model. 60(10): 4569-4581 (2020)
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