周号益｜北京航空航天大学｜学者主页

2026

面向非同配图的非对称自监督学习方法

秦佳雯，黄鹏峰，孙庆赟，周号益，李建欣

《计算机研究与发展》

2026

用于病理图像分类的混合CLIP专家模型

于金泽，刘燕雯，陈永泉，李硕，孙庆赟，周号益，李建欣

《清华大学学报(自然科学版)》

DOI

2026

Towards Reliable Multimodal Intelligence via Uncertainty-Aware Inference

Tianxiang Gong, Shiqi Gao, Qi Song, Qingyun Sun, Haoyi Zhou, Jianxin Li, Yue Cao

Chinese Journal of Electronics

DOI

2026

A Safety-Enhanced Reinforcement Learning Framework for Vision-Language Models in Autonomous Driving

Shiqi Gao, Qi Song, Tianxiang Gong, Runhua Xu, Haoyi Zhou, Chao Li, Jianxin Li

Chinese Journal of Electronics

2026

Table Question Answering via Adaptive Routing

Yang Liu, Mengyi Yan, Jia-lin Xue, Weilong Ren, Yutong Ye, Haoyi Zhou, Jian-Xin Li, Zhu-Min Chen

IEEE International Conference on Data Engineering

DOI

2026

A Survey on Foundation Models for Structured Data: Tabular, Time Series, and Graphs

Qing-Yun Sun, Haonan Yuan, Yi Huang, Zi-Wei Zhang, Xing-Cheng Fu, Rui-Jie Wang, Haoyi Zhou, Jian-Xin Li, Jia Wu, Philip S. Yu

IEEE Transactions on Knowledge and Data Engineering

DOI

2026

LatentFlow: Discovering Latent Continuous Dynamics across Channels for Multivariate Time Series Anomaly Detection

Lijun Sun, Shuai Zhang, Xin Xue, Lan-Hao Li, Haoyi Zhou, Jian-Xin Li

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2

DOI

2026

From Compression to Exploration: Active Querying Agent for 3D Physical Field Understanding

Chonghan Gao, Haoyi Zhou, Zhemeng Luo, Shengkai Jin, Qian Yu, Tianyu Chen, Jian-Xin Li

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2

DOI

2026

MinST: Multilevel Enhanced Architecture Search for Spatial-Temporal Forecasting with LLM

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

Lecture notes in computer science

DOI

2026

EC-Flow: Entropy-Enhanced Contrastive Learning for Fixed-Point Constrained Time-Series Flow Matching

Xin Xue, Xingcheng Fu, Yisen Gao, Yunhao Fu, Lanhao Li, Tianyu Chen, Ruijie Wang, Haoyi Zhou, Jianxin Li

Lecture notes in computer science

DOI

2026

NEST: Tackling Dataset-Level Distribution Shifts via Regime-Oriented Mixture-of-Experts

Lanhao Li, Bingshu Xie, L G Sun, Xin Xue, Haoyi Zhou, Jianxin Li

International Joint Conference on Artificial Intelligence

DOI

2026

FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence

Guoan Wan, Tianyu Chen, Fangzheng Feng, Haoyi Zhou, Runhua Xu

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

Periodicity-Aware Time Series Forecasting for Electric Load

Pengfei Lu, Fang Zhichun, Huidong Wang, Jintao Wu, Xin Xue, Lanhao Li, Haoyi Zhou

Lecture notes in electrical engineering

DOI

2025

MNDetector：基于多层网络的异常访问检测方法

袁子淇，孙庆赟，周号益，朱祖坤，李建欣

《计算机研究与发展》

2025

基于不确定性校准的云边协同推理框架

鲁飞鸿，罗杨一飞，高士淇，邰振赢，周号益，孙庆赟，李建欣

《计算机学报》

2025

融合图神经网络的高效子图匹配算法

薛欣，朱天晨，孙庆赟，周号益，李建欣

《计算机研究与发展》

2025

FLUE: Streamlined Uncertainty Estimation for Large Language Models

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

AAAI Conference on Artificial Intelligence

DOI

2025

MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection

Shuai Zhang, Yu-Hui Fan, Haoyi Zhou, Bo Li

AAAI Conference on Artificial Intelligence

DOI

2025

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

Mengyi Yan, Yaoshu Wang, Xiao-Han Jiang, Haoyi Zhou, Jianxin Li

Frontiers of Computer Science

DOI

2025

Leveraging LLMs for Semantic Correlation Enhancement in Spatial-temporal Imputation

Xin Xue, Haoyi Zhou, Lanhao Li, Yihan Lin, Tianyu Chen, Jianxin Li

ACM Transactions on Intelligent Systems and Technology

DOI

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

International Joint Conference on Artificial Intelligence

DOI

2025

Adaptive dynamic graphs for anomaly detection via inter- and intra-diffusion

Ziqi Yuan, Haoyi Zhou, Qingyun Sun

International Journal of Machine Learning and Cybernetics

DOI

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

International Journal of Machine Learning and Cybernetics

DOI

2025

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

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

IEEE Transactions on Geoscience and Remote Sensing

DOI

2024

基于情境化神经算子的空气动力学风阻预测

宋琪，陈天宇，王子铭，金圣凯，高崇涵，石荣晔，周号益，李建欣

《人工智能》

2024

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

Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li

AAAI Conference on Artificial Intelligence

DOI

2024

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

Ziqi Yuan, Haoyi Zhou, Qingyun Sun, Jian-Xin Li

APWeb/WAIM

DOI

2024

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

Ziqi Yuan, Haoyi Zhou, Tianyu Chen, Jianxin Li

Web Search and Data Mining

DOI

2024

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

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

Neural Information Processing Systems

DOI

2024

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

Pu-Sen Dong, Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li

Neural Information Processing Systems

DOI

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 Transactions on Information Forensics and Security

DOI

2024

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

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

SDM

DOI

2024

Predicting Carbon Emissions via Deep Learning Time Series Models

Bingshu Xie, Long Tang, Haojun Yan, Hongliang Huang, Yihan Lin, Lanhao Li, Qingyun Sun, Haoyi Zhou

Asian Conference on Artificial Intelligence Technology (ACAIT)

DOI

2024

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

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

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2024

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

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

Knowledge-Based Systems

DOI

2023

共振攻击：揭示跨模态模型CLIP的脆弱性

陈天宇，周号益，何铭睿，仉尚航，闫坤，周萌萌，李建欣

《计算机学报》

2023

CLDG: Contrastive Learning on Dynamic Graphs

Yiming Xu, Bin Shi, Teng Ma, B. Dong, Haoyi Zhou, Qing-Hua Zheng

IEEE International Conference on Data Engineering

DOI

2023

Expanding the prediction capacity in long sequence time-series forecasting

Haoyi Zhou, Jianxin Li, Shang-Hang Zhang, Shuai Zhang, Mengyi Yan, Hui Xiong

Artificial Intelligence

DOI

2023

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

Chunyang Jiang, Tianchen Zhu, Haoyi Zhou, Chang Liu, Ting Deng, Chun-Ming Hu, Jianxin Li

Conference of the European Chapter of the Association for Computational Linguistics

DOI

2023

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

Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li

International Joint Conference on Artificial Intelligence

DOI

2023

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

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

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

MtCut: A Multi-Task Framework for Ranked List Truncation

Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hong-Ming Piao

Web Search and Data Mining

DOI

2022

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

Haoyi Zhou, Siyang Xiao, Shang-Hang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li

Neural Information Processing Systems

DOI

2022

Task-Specific Expert Pruning for Sparse Mixture-of-Experts

Tianyu Chen, Shao-Han Huang, Yuan Xie, Bin-Xing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei

arXiv.org

DOI

2022

MTTrans: Cross-domain Object Detection with Mean Teacher Transformer

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

Lecture notes in computer science

DOI

2022

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

Tianyu Chen, Hangbo Bao, Shao-Han Huang, Li Dong, Bin-Xing Jiao, Da-Xin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei

Findings

DOI

2022

AIQoSer: Building the efficient Inference-QoS for AI Services

Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qingyun Sun, Chunyang Jiang, Shuai Zhang, Chun-Ming Hu

International Workshop on Quality of Service

DOI

2022

BadRes: Reveal the Backdoors Through Residual Connection

Min He, Tianyu Chen, Haoyi Zhou, Shang-Hang Zhang, Jianxin Li

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2022

AutoST: Towards the Universal Modeling of Spatio-temporal Sequences

Jianxin Li, Shuai Zhang, Hui Xiong, Haoyi Zhou

Neural Information Processing Systems

DOI

2022

Learning Music Sequence Representation From Text Supervision

Tianyu Chen, Yuan Xie, Shuai Zhang, Shao-Han Huang, Haoyi Zhou, Jianxin Li

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2021

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

Xin Guo, Jian-Lei Yang, Haoyi Zhou, Xucheng Ye, Jianxin Li

arXiv.org

2021

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

Shuai Zhang, Haoyi Zhou, Feng Chen, Jianxin Li

IEEE Transactions on Computational Social Systems

DOI

2021

POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling

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

ACM Transactions on Intelligent Systems and Technology

DOI

2021

Triplet Attention: Rethinking the Similarity in Transformers

Haoyi Zhou, Jianxin Li, Jieqi Peng, Shuai Zhang, Shang-Hang Zhang

Knowledge Discovery and Data Mining

DOI

2021

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

Pei-Yuan Sun, Qiben Yan, Haoyi Zhou, Jian-Xin Li

Computer Communications

DOI

2021

MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series

Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shang-Hang Zhang, Danding Wang

Industrial Conference on Data Mining

DOI

2020

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

Haoyi Zhou, Shang-Hang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wan Zhang

AAAI Conference on Artificial Intelligence

DOI

2020

Differentially-private Federated Neural Architecture Search

Ishika Singh, Haoyi Zhou, Kun-Lin Yang, Mengxiao Ding, Bill Lin, Peng-Tao Xie

arXiv.org

DOI

2019

A Large Margin Learning Method for Matching Images of Natural Objects With Different Dimensions

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

Geospatial Intelligence

DOI

2017

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

Jianxin Li, Haoyi Zhou, Peng-Tao Xie, Ying-Chun Zhang

International Joint Conference on Artificial Intelligence

DOI

2017

Stacked Kernel Network

Shuai Zhang, Jianxin Li, Peng-Tao Xie, Ying-Chun Zhang, Minglai Shao, Haoyi Zhou, Mengyi Yan

arXiv.org

2015

Learning Graph Model for Different Dimensions Image Matching

Haoyi Zhou, Xiao Bai, J. Zhou, Haichuan Yang, Yun Liu

Workshop on Graph Based Representations in Pattern Recognition

DOI

精选作品

期刊论文

面向非同配图的非对称自监督学习方法

用于病理图像分类的混合CLIP专家模型

Towards Reliable Multimodal Intelligence via Uncertainty-Aware Inference

A Safety-Enhanced Reinforcement Learning Framework for Vision-Language Models in Autonomous Driving

Table Question Answering via Adaptive Routing

A Survey on Foundation Models for Structured Data: Tabular, Time Series, and Graphs

LatentFlow: Discovering Latent Continuous Dynamics across Channels for Multivariate Time Series Anomaly Detection

From Compression to Exploration: Active Querying Agent for 3D Physical Field Understanding

MinST: Multilevel Enhanced Architecture Search for Spatial-Temporal Forecasting with LLM

EC-Flow: Entropy-Enhanced Contrastive Learning for Fixed-Point Constrained Time-Series Flow Matching

NEST: Tackling Dataset-Level Distribution Shifts via Regime-Oriented Mixture-of-Experts

FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence

Periodicity-Aware Time Series Forecasting for Electric Load

MNDetector：基于多层网络的异常访问检测方法

基于不确定性校准的云边协同推理框架

融合图神经网络的高效子图匹配算法

FLUE: Streamlined Uncertainty Estimation for Large Language Models

MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection

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

Leveraging LLMs for Semantic Correlation Enhancement in Spatial-temporal Imputation

FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers

Adaptive dynamic graphs for anomaly detection via inter- and intra-diffusion

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

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

基于情境化神经算子的空气动力学风阻预测

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

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

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

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

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

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

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

Predicting Carbon Emissions via Deep Learning Time Series Models

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

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

共振攻击：揭示跨模态模型CLIP的脆弱性

CLDG: Contrastive Learning on Dynamic Graphs

Expanding the prediction capacity in long sequence time-series forecasting

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

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

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

MtCut: A Multi-Task Framework for Ranked List Truncation

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

Task-Specific Expert Pruning for Sparse Mixture-of-Experts

MTTrans: Cross-domain Object Detection with Mean Teacher Transformer

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

AIQoSer: Building the efficient Inference-QoS for AI Services

BadRes: Reveal the Backdoors Through Residual Connection

AutoST: Towards the Universal Modeling of Spatio-temporal Sequences

Learning Music Sequence Representation From Text Supervision

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

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

POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling

Triplet Attention: Rethinking the Similarity in Transformers

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

MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series

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

Differentially-private Federated Neural Architecture Search

A Large Margin Learning Method for Matching Images of Natural Objects With Different Dimensions

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

Stacked Kernel Network

Learning Graph Model for Different Dimensions Image Matching

预印本

Physics-Inspired Machine Learning for Quantum Error Mitigation

PINNsAgent: Automated PDE Surrogation with Large Language Models

研究方向