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Haoyang Zeng
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2020 – today
- 2024
- [j7]Ningjiang Chen
, Huan Tu, Haoyang Zeng, Yangjie Ou:
Anomaly detection for key performance indicators by fusing self-supervised spatio-temporal graph attention networks. Knowl. Based Syst. 300: 112167 (2024) - [c4]Haoyang Zeng
LSTD-MTS: Anomaly Detection with Capturing Long-Term Spatio-Temporal Dependence for Multi-dimensional Time Series. Internetware 2024 - 2022
- [c3]Haoyang Zeng, Ningjiang Chen, Wanting Li, Siyu Yu:
Cloud-Edge Collaborative Task Scheduling Mechanism Based on Improved Parameter Adaptation Particle Swarm Optimization Algorithm. ChineseCSCW (1) 2022: 449-464 - 2021
- [j6]Zheng Dai, Brooke D. Huisman, Haoyang Zeng, Brandon Carter, Siddhartha Jain, Michael E. Birnbaum
Machine learning optimization of peptides for presentation by class II MHCs. Bioinform. 37(19): 3160-3167 (2021) - 2020
- [j5]Ge Liu, Haoyang Zeng, Jonas Mueller, Brandon Carter
Antibody complementarity determining region design using high-capacity machine learning. Bioinform. 36(7): 2126-2133 (2020)
2010 – 2019
- 2019
- [b1]Haoyang Zeng:
Machine learning models for functional genomics and therapeutic design. Massachusetts Institute of Technology, Cambridge, USA, 2019 - [j4]Haoyang Zeng, David K. Gifford:
DeepLigand: accurate prediction of MHC class I ligands using peptide embedding. Bioinform. 35(14): i278-i283 (2019) - [j3]Ge Liu, Haoyang Zeng, David K. Gifford
Visualizing complex feature interactions and feature sharing in genomic deep neural networks. BMC Bioinform. 20(1): 401:1-401:14 (2019) - 2018
- [c2]Constantinos Daskalakis, Andrew Ilyas, Vasilis Syrgkanis, Haoyang Zeng:
Training GANs with Optimism. ICLR (Poster) 2018 - 2017
- [c1]Yuchun Guo, Kevin Tian, Haoyang Zeng, David K. Gifford:
K-mer Set Memory (KSM) Motif Representation Enables Accurate Prediction of the Impact of Regulatory Variants. RECOMB 2017: 372-374 - [i1]Constantinos Daskalakis, Andrew Ilyas, Vasilis Syrgkanis, Haoyang Zeng:
Training GANs with Optimism. CoRR abs/1711.00141 (2017) - 2016
- [j2]Haoyang Zeng
GERV: a statistical method for generative evaluation of regulatory variants for transcription factor binding. Bioinform. 32(4): 490-496 (2016) - [j1]Haoyang Zeng
Convolutional neural network architectures for predicting DNA-protein binding. Bioinform. 32(12): 121-127 (2016)
Coauthor Index
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last updated on 2024-08-03 20:14 CEST by the dblp team
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