Haoyi Zhou

Orcid: 0000-0002-2393-3634

According to our database1, Haoyi Zhou authored at least 38 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading.
IEEE Trans. Knowl. Data Eng., November, 2024

PE-Attack: On the Universal Positional Embedding Vulnerability in Transformer-Based Models.
IEEE Trans. Inf. Forensics Secur., 2024

A lightweight multi-layer perceptron for efficient multivariate time series forecasting.
Knowl. Based Syst., 2024

ArcEDB: An Arbitrary-Precision Encrypted Database via (Amortized) Modular Homomorphic Encryption.
IACR Cryptol. ePrint Arch., 2024

Building Flexible Machine Learning Models for Scientific Computing at Scale.
CoRR, 2024

PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Colorectal cancer lymph node metastasis prediction with weakly supervised transformer-based multi-instance learning.
Medical Biol. Eng. Comput., June, 2023

Expanding the prediction capacity in long sequence time-series forecasting.
Artif. Intell., May, 2023

Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CLDG: Contrastive Learning on Dynamic Graphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

BadRes: Reveal the Backdoors Through Residual Connection.
Proceedings of the IEEE International Conference on Acoustics, 2023

Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
Task-Specific Expert Pruning for Sparse Mixture-of-Experts.
CoRR, 2022

Cross-Domain Object Detection with Mean-Teacher Transformer.
CoRR, 2022

MtCut: A Multi-Task Framework for Ranked List Truncation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Jump Self-attention: Capturing High-order Statistics in Transformers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AutoST: Towards the Universal Modeling of Spatio-temporal Sequences.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AIQoSer: Building the efficient Inference-QoS for AI Services.
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

Learning Music Sequence Representation From Text Supervision.
Proceedings of the IEEE International Conference on Acoustics, 2022

MTTrans: Cross-domain Object Detection with Mean Teacher Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling.
ACM Trans. Intell. Syst. Technol., 2021

A Bisubmodular Approach to Event Detection and Prediction in Multivariate Social Graphs.
IEEE Trans. Comput. Soc. Syst., 2021

RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models.
CoRR, 2021

Osprey: A fast and accurate patch presence test framework for binaries.
Comput. Commun., 2021

Triplet Attention: Rethinking the Similarity in Transformers.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series.
Proceedings of the IEEE International Conference on Data Mining, 2021

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Differentially-private Federated Neural Architecture Search.
CoRR, 2020

2018
A Time-Sensitive Hybrid Learning Model for Patient Subgrouping.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Classification of Reservoir Fracture Development Level by Convolution Neural Network Algorithm.
Proceedings of the 14th International Conference on Natural Computation, 2018

2017
Stacked Kernel Network.
CoRR, 2017

Improving the Generalization Performance of Multi-class SVM via Angular Regularization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2015
Learning Graph Model for Different Dimensions Image Matching.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015


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