Haoyang Zeng

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 12

Top Venues

Massachusetts Institute of Technology, Cambridge, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, USA

PHD

Publications

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 (2024)
Haoyang Zeng, Ningjiang Chen, Tao Deng
LSTD-MTS: Anomaly Detection with Capturing Long-Term Spatio-Temporal Dependence for Multi-dimensional Time Series. Internetware (2024)
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)
Zheng Dai, Brooke D. Huisman, Haoyang Zeng, Brandon Carter, Siddhartha Jain, Michael E. Birnbaum, David K. Gifford
Machine learning optimization of peptides for presentation by class II MHCs. Bioinform. 37 (19) (2021)
Ge Liu, Haoyang Zeng, Jonas Mueller, Brandon Carter, Ziheng Wang, Jonas Schilz, Geraldine Horny, Michael E. Birnbaum, Stefan Ewert, David K. Gifford
Antibody complementarity determining region design using high-capacity machine learning. Bioinform. 36 (7) (2020)
Haoyang Zeng, David K. Gifford
DeepLigand: accurate prediction of MHC class I ligands using peptide embedding. Bioinform. 35 (14) (2019)
Ge Liu, Haoyang Zeng, David K. Gifford
Visualizing complex feature interactions and feature sharing in genomic deep neural networks. BMC Bioinform. 20 (1) (2019)
Constantinos Daskalakis, Andrew Ilyas, Vasilis Syrgkanis, Haoyang Zeng
Training GANs with Optimism. ICLR (Poster) (2018)
Constantinos Daskalakis, Andrew Ilyas, Vasilis Syrgkanis, Haoyang Zeng
Training GANs with Optimism. CoRR (2017)
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)
Haoyang Zeng, Tatsunori B. Hashimoto, Daniel D. Kang, David K. Gifford
GERV: a statistical method for generative evaluation of regulatory variants for transcription factor binding. Bioinform. 32 (4) (2016)
Haoyang Zeng, Matthew D. Edwards, Ge Liu, David K. Gifford
Convolutional neural network architectures for predicting DNA-protein binding. Bioinform. 32 (12) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Haoyang Zeng