Haoyi Zhou

According to our database, Haoyi Zhou authored at least 51 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards uncertainty-calibrated structural data enrichment with large language model for few-shot entity resolution.

Mengyi Yan, Yaoshu Wang, Xiaohan Jiang, Haoyi Zhou, Jianxin Li

Frontiers Comput. Sci., November, 2025

A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models.

Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Minglai Shao, Xingcheng Fu

Int. J. Mach. Learn. Cybern., August, 2025

FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers.

Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Zhenzhe Zhang, Tianchen Zhu, Shanghang Zhang, Jianxin Li

CoRR, May, 2025

Instructing the Architecture Search for Spatial-temporal Sequence Forecasting with LLM.

Xin Xue, Haoyi Zhou, Tianyu Chen, Shuai Zhang, Yizhou Long, Jianxin Li

CoRR, March, 2025

PINNsAgent: Automated PDE Surrogation with Large Language Models.

Qingpo Wuwu, Chonghan Gao, Tianyu Chen, Yihang Huang, Yuekai Zhang, Jianing Wang, Jianxin Li, Haoyi Zhou, Shanghang Zhang

CoRR, January, 2025

Ionformer: A Data-Driven Deep Learning Baseline for Global Ionospheric TEC Forecasting.

Lanhao Li, Yang Liu, Haoyi Zhou, Kunlin Yang, Haojun Yan, Jianxin Li

IEEE Trans. Geosci. Remote. Sens., 2025

HiViT: Hierarchical attention-based Transformer for multi-scale whole slide histopathological image classification.

Jinze Yu, Shuo Li, Luxin Tan, Haoyi Zhou, Zhongwu Li, Jianxin Li

Expert Syst. Appl., 2025

Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding.

Tianyu Chen, Xingcheng Fu, Yisen Gao, Haodong Qian, Yuecen Wei, Kun Yan, Haoyi Zhou, Jianxin Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration?

Ziming Wang, Zeyu Shi, Haoyi Zhou, Shiqi Gao, Qingyun Sun, Jianxin Li

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection.

Shuai Zhang, Yu Fan, Haoyi Zhou, Bo Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

FLUE: Streamlined Uncertainty Estimation for Large Language Models.

Shiqi Gao, Tianxiang Gong, Zijie Lin, Runhua Xu, Haoyi Zhou, Jianxin Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

Zixuan Yuan, Junming Liu, Haoyi Zhou, Denghui Zhang, Hao Liu, Nengjun Zhu, Hui Xiong

IEEE Trans. Knowl. Data Eng., November, 2024

PE-Attack: On the Universal Positional Embedding Vulnerability in Transformer-Based Models.

Shiqi Gao, Haoyi Zhou, Tianyu Chen, Mingrui He, Runhua Xu, Jianxin Li

IEEE Trans. Inf. Forensics Secur., 2024

A lightweight multi-layer perceptron for efficient multivariate time series forecasting.

Zhenghong Wang, Sijie Ruan, Tianqiang Huang, Haoyi Zhou, Shanghang Zhang, Yi Wang, Leye Wang, Zhou Huang, Yu Liu

Knowl. Based Syst., 2024

ArcEDB: An Arbitrary-Precision Encrypted Database via (Amortized) Modular Homomorphic Encryption.

Zhou Zhang, Song Bian, Zian Zhao, Ran Mao, Haoyi Zhou, Jiafeng Hua, Yier Jin, Zhenyu Guan

IACR Cryptol. ePrint Arch., 2024

Building Flexible Machine Learning Models for Scientific Computing at Scale.

Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Shanghang Zhang, Jianxin Li

CoRR, 2024

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

Ziqi Yuan, Haoyi Zhou, Tianyu Chen, Jianxin Li

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

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

Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Zukun Zhu, Jianxin Li

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization.

Qi Song, Tianxiang Gong, Shiqi Gao, Haoyi Zhou, Jianxin Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning.

Pusen Dong, Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection.

Ziqi Yuan, Haoyi Zhou, Qingyun Sun, Jianxin Li

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.

Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong

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.

Luxin Tan, Huan Li, Jinze Yu, Haoyi Zhou, Zhi Wang, Zhiyong Niu, Jianxin Li, Zhongwu Li

Medical Biol. Eng. Comput., June, 2023

Expanding the prediction capacity in long sequence time-series forecasting.

Haoyi Zhou, Jianxin Li, Shanghang Zhang, Shuai Zhang, Mengyi Yan, Hui Xiong

Artif. Intell., May, 2023

Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution.

Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CLDG: Contrastive Learning on Dynamic Graphs.

Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

BadRes: Reveal the Backdoors Through Residual Connection.

Mingrui He, Tianyu Chen, Haoyi Zhou, Shanghang Zhang, Jianxin Li

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Chunyang Jiang, Tianchen Zhu, Haoyi Zhou, Chang Liu, Ting Deng, Chunming Hu, Jianxin Li

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.

Tianyu Chen, Shaohan Huang, Yuan Xie, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei

CoRR, 2022

Cross-Domain Object Detection with Mean-Teacher Transformer.

Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang

CoRR, 2022

MtCut: A Multi-Task Framework for Ranked List Truncation.

Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao

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.

Haoyi Zhou, Siyang Xiao, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li

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.

Jianxin Li, Shuai Zhang, Hui Xiong, Haoyi Zhou

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.

Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qingyun Sun, Chunyang Jiang, Shuai Zhang, Chunming Hu

Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

Learning Music Sequence Representation From Text Supervision.

Tianyu Chen, Yuan Xie, Shuai Zhang, Shaohan Huang, Haoyi Zhou, Jianxin Li

Proceedings of the IEEE International Conference on Acoustics, 2022

MTTrans: Cross-domain Object Detection with Mean Teacher Transformer.

Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption.

Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei

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.

Haoyi Zhou, Hao Peng, Jieqi Peng, Shuai Zhang, Jianxin Li

ACM Trans. Intell. Syst. Technol., 2021

A Bisubmodular Approach to Event Detection and Prediction in Multivariate Social Graphs.

Shuai Zhang, Haoyi Zhou, Feng Chen, Jianxin Li

IEEE Trans. Comput. Soc. Syst., 2021

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

Xin Guo, Jianlei Yang, Haoyi Zhou, Xucheng Ye, Jianxin Li

CoRR, 2021

Osprey: A fast and accurate patch presence test framework for binaries.

Peiyuan Sun, Qiben Yan, Haoyi Zhou, Jianxin Li

Comput. Commun., 2021

Triplet Attention: Rethinking the Similarity in Transformers.

Haoyi Zhou, Jianxin Li, Jieqi Peng, Shuai Zhang, Shanghang Zhang

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.

Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang

Proceedings of the IEEE International Conference on Data Mining, 2021

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.

Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Differentially-private Federated Neural Architecture Search.

Ishika Singh, Haoyi Zhou, Kunlin Yang, Meng Ding, Bill Lin, Pengtao Xie

CoRR, 2020

2018

A Time-Sensitive Hybrid Learning Model for Patient Subgrouping.

Yingchun Zhang, Haoyi Zhou, Jianxin Li, Wanlu Sun, Yahong Chen

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Classification of Reservoir Fracture Development Level by Convolution Neural Network Algorithm.

Zhengyang Wu, Xiuwen Mo, Haoyi Zhou, Lipan Liu, Jinfeng Li

Proceedings of the 14th International Conference on Natural Computation, 2018

2017

Stacked Kernel Network.

Shuai Zhang, Jianxin Li, Pengtao Xie, Yingchun Zhang, Minglai Shao, Haoyi Zhou, Mengyi Yan

CoRR, 2017

Improving the Generalization Performance of Multi-class SVM via Angular Regularization.

Jianxin Li, Haoyi Zhou, Pengtao Xie, Yingchun Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2015

Learning Graph Model for Different Dimensions Image Matching.

Haoyi Zhou, Xiao Bai, Jun Zhou, Haichuan Yang, Yun Liu

Proceedings of the Graph-Based Representations in Pattern Recognition, 2015