Haoyi Zhou

About Haoyi Zhou

Haoyi Zhou, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Beihang University, specializes in the field of Machine Learning, Data Mining, Time-series.

His recent articles reflect a diverse array of research interests and contributions to the field:

Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning

Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification

PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization

Building Flexible Machine Learning Models for Scientific Computing at Scale

MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies

Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning

Expanding the prediction capacity in long sequence time-series forecasting

CLDG: Contrastive Learning on Dynamic Graphs

Haoyi Zhou Information

University

Position

PhD student

Citations(all)

2174

Citations(since 2020)

2165

Cited By

30

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Haoyi Zhou Skills & Research Interests

Machine Learning

Data Mining

Time-series

Top articles of Haoyi Zhou

Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization

arXiv preprint arXiv:2401.10547, WSDM 2024

2024/1/19

Building Flexible Machine Learning Models for Scientific Computing at Scale

arXiv preprint arXiv:2402.16014

2024/2/25

MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies

2024

Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning

2023/5

Expanding the prediction capacity in long sequence time-series forecasting

Artificial Intelligence

2023/5/1

CLDG: Contrastive Learning on Dynamic Graphs

2023/4/3

LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading

IEEE Transactions on Knowledge and Data Engineering

2023/12/6

LST-Bench: A Benchmark for long sequence time-series forecasting Task

2023/10/13

Haoyi Zhou
Haoyi Zhou

H-Index: 4

Jianxin Li
Jianxin Li

H-Index: 35

PDE-Diffusion: Physic guided diffusion model for solving partial derivative equations

2023/10/13

Towards long-delayed sparsity: Learning a better transformer through reward redistribution

Proceedings of the 32nd International Joint Conference on Artificial Intelligence

2023/8/19

BadRes: Reveal the Backdoors Through Residual Connection

2023/6/4

Colorectal cancer lymph node metastasis prediction with weakly supervised transformer-based multi-instance learning

Medical & Biological Engineering & Computing

2023/6

Jump Self-attention: Capturing High-order Statistics in Transformers

2022/12

Autost: Towards the universal modeling of spatio-temporal sequences

Advances in Neural Information Processing Systems

2022/12/6

Efficient failure recovery method for stream data processing system

Journal of Computer Applications

2022/11/10

MTTrans: Cross-domain object detection with mean teacher transformer

2022/11/6

Cascaded Teaching Transformers with Data Reweighting for Long Sequence Time-series Forecasting

2022/9/29

Aiqoser: building the efficient inference-qos for ai services

2022/6/10

See List of Professors in Haoyi Zhou University(Beihang University)

Co-Authors

academic-engine