Learning Graph Model for Different Dimensions Image Matching. - Haoyi Zhou; Xiao Bai 001; Jun Zhou 001; Haichuan Yang; Yun Liu 014 (GbRPR, 2015)

Improving the Generalization Performance of Multi-class SVM via Angular Regularization. - Jianxin Li 002; Haoyi Zhou; Pengtao Xie; Yingchun Zhang (IJCAI, 2017)

Stacked Kernel Network. - Shuai Zhang 026; Jianxin Li 002; Pengtao Xie; Yingchun Zhang; Minglai Shao 001; Haoyi Zhou; Mengyi Yan (CoRR, 2017)

Classification of Reservoir Fracture Development Level by Convolution Neural Network Algorithm. - Zhengyang Wu; Xiuwen Mo; Haoyi Zhou; Lipan Liu; Jinfeng Li (ICNC-FSKD, 2018)

A Time-Sensitive Hybrid Learning Model for Patient Subgrouping. - Yingchun Zhang; Haoyi Zhou; Jianxin Li 002; Wanlu Sun; Yahong Chen (IJCNN, 2018)

Differentially-private Federated Neural Architecture Search. - Ishika Singh; Haoyi Zhou; Kunlin Yang; Meng Ding; Bill Lin 001; Pengtao Xie (CoRR, 2020)

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. - Haoyi Zhou; Shanghang Zhang; Jieqi Peng; Shuai Zhang 026; Jianxin Li 002; Hui Xiong 001; Wancai Zhang (AAAI, 2021)

MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series. - Shuai Zhang 026; Jianxin Li 002; Haoyi Zhou; Qishan Zhu; Shanghang Zhang; Danding Wang (ICDM, 2021)

Triplet Attention: Rethinking the Similarity in Transformers. - Haoyi Zhou; Jianxin Li 002; Jieqi Peng; Shuai Zhang 026; Shanghang Zhang (KDD, 2021)

Osprey: A fast and accurate patch presence test framework for binaries. - Peiyuan Sun; Qiben Yan; Haoyi Zhou; Jianxin Li 002 (Comput. Commun., 2021)

RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models. - Xin Guo 008; Jianlei Yang 001; Haoyi Zhou; Xucheng Ye; Jianxin Li 002 (CoRR, 2021)

A Bisubmodular Approach to Event Detection and Prediction in Multivariate Social Graphs. - Shuai Zhang 026; Haoyi Zhou; Feng Chen 001; Jianxin Li 002 (IEEE Trans. Comput. Soc. Syst., 2021)

POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling. - Haoyi Zhou; Hao Peng 001; Jieqi Peng; Shuai Zhang 026; Jianxin Li 002 (ACM Trans. Intell. Syst. Technol., 2021)

THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. - Tianyu Chen; Hangbo Bao; Shaohan Huang; Li Dong 004; Binxing Jiao; Daxin Jiang; Haoyi Zhou; Jianxin Li 002; Furu Wei (ACL (Findings), 2022)

MTTrans: Cross-domain Object Detection with Mean Teacher Transformer. - Jinze Yu 002; Jiaming Liu 003; Xiaobao Wei; Haoyi Zhou; Yohei Nakata; Denis A. Gudovskiy; Tomoyuki Okuno; Jianxin Li 002; Kurt Keutzer; Shanghang Zhang (ECCV (9), 2022)

Learning Music Sequence Representation From Text Supervision. - Tianyu Chen; Yuan Xie; Shuai Zhang 026; Shaohan Huang; Haoyi Zhou; Jianxin Li 002 (ICASSP, 2022)

AIQoSer: Building the efficient Inference-QoS for AI Services. - Jianxin Li 002; Tianchen Zhu; Haoyi Zhou; Qingyun Sun; Chunyang Jiang; Shuai Zhang 026; Chunming Hu (IWQoS, 2022)

AutoST: Towards the Universal Modeling of Spatio-temporal Sequences. - Jianxin Li 002; Shuai Zhang 026; Hui Xiong 001; Haoyi Zhou (NeurIPS, 2022)

Jump Self-attention: Capturing High-order Statistics in Transformers. - Haoyi Zhou; Siyang Xiao; Shanghang Zhang; Jieqi Peng; Shuai Zhang 026; Jianxin Li 002 (NeurIPS, 2022)

MtCut: A Multi-Task Framework for Ranked List Truncation. - Dong Wang; Jianxin Li 002; Tianchen Zhu; Haoyi Zhou; Qishan Zhu; Yuxin Wen; Hongming Piao (WSDM, 2022)

Cross-Domain Object Detection with Mean-Teacher Transformer. - Jinze Yu 001; Jiaming Liu 003; Xiaobao Wei; Haoyi Zhou; Yohei Nakata; Denis A. Gudovskiy; Tomoyuki Okuno; Jianxin Li 002; Kurt Keutzer; Shanghang Zhang (CoRR, 2022)

Task-Specific Expert Pruning for Sparse Mixture-of-Experts. - Tianyu Chen; Shaohan Huang; Yuan Xie; Binxing Jiao; Daxin Jiang; Haoyi Zhou; Jianxin Li 002; Furu Wei (CoRR, 2022)

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 002 (EACL, 2023)

BadRes: Reveal the Backdoors Through Residual Connection. - Mingrui He; Tianyu Chen; Haoyi Zhou; Shanghang Zhang; Jianxin Li 002 (ICASSP, 2023)

CLDG: Contrastive Learning on Dynamic Graphs. - Yiming Xu 001; Bin Shi; Teng Ma; Bo Dong 001; Haoyi Zhou; Qinghua Zheng (ICDE, 2023)

Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution. - Tianchen Zhu; Yue Qiu; Haoyi Zhou; Jianxin Li 002 (IJCAI, 2023)

Expanding the prediction capacity in long sequence time-series forecasting. - Haoyi Zhou; Jianxin Li 002; Shanghang Zhang; Shuai Zhang 026; Mengyi Yan; Hui Xiong 001 (Artif. Intell., 2023)

Colorectal cancer lymph node metastasis prediction with weakly supervised transformer-based multi-instance learning. - Luxin Tan; Huan Li; Jinze Yu 002; Haoyi Zhou; Zhi Wang; Zhiyong Niu; Jianxin Li 002; Zhongwu Li (Medical Biol. Eng. Comput., 2023)

Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification. - Zixuan Yuan; Hao Liu 026; Haoyi Zhou; Denghui Zhang; Xiao Zhang 015; Hao Wang 073; Hui Xiong 001 (AAAI, 2024)

Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning. - Tianchen Zhu; Yue Qiu; Haoyi Zhou; Jianxin Li 002 (AAAI, 2024)

ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection. - Ziqi Yuan; Haoyi Zhou; Qingyun Sun; Jianxin Li 002 (APWeb/WAIM (4), 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 002 (NeurIPS, 2024)

QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization. - Qi Song; Tianxiang Gong; Shiqi Gao; Haoyi Zhou; Jianxin Li 002 (NeurIPS, 2024)

MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies. - Ziqi Yuan; Qingyun Sun; Haoyi Zhou; Zukun Zhu; Jianxin Li 002 (SDM, 2024)

PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization. - Ziqi Yuan; Haoyi Zhou; Tianyu Chen; Jianxin Li 002 (WSDM, 2024)

Building Flexible Machine Learning Models for Scientific Computing at Scale. - Tianyu Chen; Haoyi Zhou; Ying Li; Hao Wang 073; Chonghan Gao; Shanghang Zhang; Jianxin Li 002 (CoRR, 2024)

ArcEDB: An Arbitrary-Precision Encrypted Database via (Amortized) Modular Homomorphic Encryption. - Zhou Zhang 016; Song Bian 001; Zian Zhao; Ran Mao; Haoyi Zhou; Jiafeng Hua; Yier Jin; Zhenyu Guan (IACR Cryptol. ePrint Arch., 2024)

A lightweight multi-layer perceptron for efficient multivariate time series forecasting. - Zhenghong Wang; Sijie Ruan; Tianqiang Huang; Haoyi Zhou; Shanghang Zhang; Yi Wang 132; Leye Wang; Zhou Huang; Yu Liu 003 (Knowl. Based Syst., 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 002 (IEEE Trans. Inf. Forensics Secur., 2024)

LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading. - Zixuan Yuan; Junming Liu; Haoyi Zhou; Denghui Zhang; Hao Liu 026; Nengjun Zhu; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2024)

FLUE: Streamlined Uncertainty Estimation for Large Language Models. - Shiqi Gao; Tianxiang Gong; Zijie Lin; Runhua Xu; Haoyi Zhou; Jianxin Li 002 (AAAI, 2025)

MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection. - Shuai Zhang 026; Yu Fan; Haoyi Zhou; Bo Li (AAAI, 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 002 (ACL (1), 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 002 (CVPR, 2025)

HiViT: Hierarchical attention-based Transformer for multi-scale whole slide histopathological image classification. - Jinze Yu 002; Shuo Li; Luxin Tan; Haoyi Zhou; Zhongwu Li; Jianxin Li 002 (Expert Syst. Appl., 2025)

Ionformer: A Data-Driven Deep Learning Baseline for Global Ionospheric TEC Forecasting. - Lanhao Li; Yang Liu 110; Haoyi Zhou; Kunlin Yang; Haojun Yan; Jianxin Li 002 (IEEE Trans. Geosci. Remote. Sens., 2025)

PINNsAgent: Automated PDE Surrogation with Large Language Models. - Qingpo Wuwu; Chonghan Gao; Tianyu Chen; Yihang Huang; Yuekai Zhang; Jianing Wang; Jianxin Li 002; Haoyi Zhou; Shanghang Zhang (CoRR, 2025)

Instructing the Architecture Search for Spatial-temporal Sequence Forecasting with LLM. - Xin Xue; Haoyi Zhou; Tianyu Chen; Shuai Zhang 026; Yizhou Long; Jianxin Li 002 (CoRR, 2025)

FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers. - Tianyu Chen; Haoyi Zhou; Ying Li; Hao Wang 073; Zhenzhe Zhang; Tianchen Zhu; Shanghang Zhang; Jianxin Li 002 (CoRR, 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 001; Xingcheng Fu (Int. J. Mach. Learn. Cybern., 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 002 (Frontiers Comput. Sci., 2025)