Publications
CodeDance: A Dynamic Tool-integrated MLLM for Executable Visual Reasoning, CVPR 2026
Qi Song, Honglin Li, Yingchen Yu, Haoyi Zhou, Lin Yang, Song Bai, Qi She, Zilong Huang, Yunqing Zhao
[Paper][Code][BibTex]
SPARQ: A Cost-Efficient Framework for Offline Table Question Answering via Adaptive Routing, ICDE 2026
Yang Liu, Mengyi Yan, Jiao Xue, Weilong Ren, Yutong Ye, Haoyi Zhou, Zhumin Chen, Jianxin Li
[Paper][Code][BibTex]
FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence, AAAI 2026
Guoan Wan, Tianyu Chen, Fangzheng Feng, Haoyi Zhou, Runhua Xu
Towards Long-window Anchoring in Vision-Language Model Distillation, AAAI 2026
Haoyi Zhou, Shuo Li, Tianyu Chen, Qi Song, Chonghan Gao, Jianxin Li
Fine-Tuned LLMs Know They Don't Know: A Parameter-Efficient Approach to Recovering Honesty, AAAI 2026
Zeyu Shi, Ziming Wang, Tianyu Chen, Shiqi Gao, Haoyi Zhou, Qingyun Sun, Jianxin Li
HiViT: Hierarchical attention-based Transformer for multi-scale whole slide histopathological image classification, ESWA 2025
Jinze Yu, Shuo Li, Luxin Tan, Haoyi Zhou, Zhongwu Li, Jianxin Li
Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration?, ACL 2025
Ziming Wang, Zeyu Shi, Haoyi Zhou, Shiqi Gao, Qingyun Sun, Jianxin Li
Ionformer: A data-driven deep learning baseline for global ionospheric TEC forecasting, IEEE TGRS 2025
Lanhao Li, Yang Liu, Haoyi Zhou, Kunlin Yang, Haojun Yan, Jianxin Li
[Paper]
[Code]
[BibTex]
OmniArch: Building the Foundation Model for Scientific Computing, ICML 2025
Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Rongye Shi, Shanghang Zhang, Jianxin Li
PINNsAgent: Automated PDE Surrogation with Large Language Models, ICML 2025
Qingpo Wu, Chonghan Gao, Tianyu Chen, Yihang Huang, Yuekai Zhang, Jianing Wang, Jianxin Li, Haoyi Zhou, Shanghang Zhang
[Paper][Code][BibTex]
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers, IJCAI 2025
Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Zhenzhe Zhang, Tianchen Zhu, Shanghang Zhang, Jianxin Li
Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding, CVPR 2025
Tianyu Chen, Xingcheng Fu, Yisen Gao, Haodong Qian, Yuecen Wei, Kun Yan, Haoyi Zhou, Jianxin Li
FLUE: Streamlined Uncertainty Estimation for Large Language Models, AAAI 2025
Shiqi Gao, Tianxiang Gong, Haoyi Zhou, Zijie Lin, Runhua Xu, Jianxin Li
MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection, AAAI 2025
Shuai Zhang, Yu Fan, Haoyi Zhou, Bo Li
QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization, NeurIPS 2024
Qi Song, Tianxiang Gong, Shiqi Gao, Haoyi Zhou, Jianxin Li
From Text to Trajectory: Exploring Unified Complex Constraint Representation and Decomposition in Safe Reinforcement Learning, NeurIPS 2024
Pusen Dong, Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li
ArcEDB: An Arbitrary-Precision Encrypted Database via (Amortized) Modular Homomorphic Encryption, ACM CCS 2024
Zhou Zhang, Song Bian, Zian Zhao, Ran Mao, Haoyi Zhou, Jiafeng Hua, Yier Jin, Zhenyu Guan
PE-Attack: On the Universal Positional Embedding Vulnerability in Transformer-based Models, IEEE TIFS 2024
Shiqi Gao, Haoyi Zhou, Tianyu Chen, Mingrui He, Runhua Xu, Jianxin Li
Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-agent Preference-based Reinforcement Learning, AAAI 2024
Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li
Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification, AAAI 2024
Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong
PhoGAD: Graph-Based Anomaly Behavior Detection with Persistent Homology Optimization, WSDM 2024
Ziqi Yuan, Haoyi Zhou, Tianyu Chen, Jianxin Li
MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies, SDM 2024
Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Zukun Zhu, Jianxin Li
LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading, TKDE 2023
Zixuan Yuan, Junming Liu, Haoyi Zhou, Denghui Zhang, Hao Liu, Nengjun Zhu, Hui Xiong
Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution, IJCAI 2023
Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li
Expanding the Prediction Capacity in Long Sequence Time-Series Forecasting, AIJ 2023
Haoyi Zhou, Jianxin Li, Shanghang Zhang, Shuai Zhang, Mengyi Yan, Hui Xiong
BadRes: Reveal the Backdoors through Residual Connection, ICASSP 2023
Mingrui He, Tianyu Chen, Haoyi Zhou, Shanghang Zhang, Jianxin Li
CLDG: Contrastive Learning on Dynamic Graphs, ICDE 2023
Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng
Jump Self-attention: Capturing High-order Statistics in Transformers, NeurIPS 2022
Haoyi Zhou, Siyang Xiao, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li
AutoST: Towards the Universal Modeling of Spatio-temporal Sequences, NeurIPS 2022
Jianxin Li, Shuai Zhang, Hui Xiong, Haoyi Zhou
AIQoSer: Building the efficient Inference-QoS for AI Services, IEEE IWQoS 2022
Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qingyun Sun, Chunyang Jiang, Shuai Zhang, Chunming Hu
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption, ACL Findings 2022
Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei
Learning Music Sequence Representation from Text Supervision, ICASSP 2022
Tianyu Chen, Yuan Xie, Shuai Zhang, Shaohan Huang, Haoyi Zhou, Jianxin Li
MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer, ECCV 2022
Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang
Informer: Beyond Efficient Transformer for Long Sequence Timer-series Forecasting, AAAI'2021
Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang
Triplet Attention: Rethinking the Similarity in Transformers, KDD'2021
Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling, ACM TIST 2021
Haoyi Zhou, Hao Peng, Jieqi Peng, Shuai Zhang, Jianxin Li
MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series, ICDM'2021
Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang
MtCut: A Multi-Task Framework for Ranked List Truncation, WSDM'2021
Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao
RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models, arXiv 2021
Xin Guo, Jianlei Yang, Haoyi Zhou, Xucheng Ye, Jianxin Li
Osprey: A Fast and Accurate Patch Presence Test Framework for Binaries, Computer Communications 2021
Peiyuan Sun, Qiben Yan, Haoyi Zhou*, Jianxin Li
Differentially-private Federated Neural Architecture Search, arXiv 2020
Ishika Singh, Haoyi Zhou, Kunlin Yang, Meng Ding, Bill Lin, Pengtao Xie
A Bisubmodular Approach to Event Detection and Prediction in Multivariate Social Graphs, IEEE TCSS 2020
Shuai Zhang, Haoyi Zhou, Feng Chen, Jianxin Li
A Time-Sensitive Hybrid Learning Model for Patient Subgrouping, IJCNN'2018
Yingchun Zhang, Haoyi Zhou, Jianxin Li, Wanlu Sun, Yahong Chen
Improving the Generalization Performance of Multi-class SVM via Angular Regularization, IJCAI'2017
Jianxin Li, Haoyi Zhou, Pengtao Xie, Yingchun Zhang
Stacked Kernel Network, arXiv 2017
Shuai Zhang, Jianxin Li, Pengtao Xie, Yingchun Zhang, Minglai Shao, Haoyi Zhou, Mengyi Yan
A Large Margin Learning Method for Matching Images of Natural Objects with Different Dimensions, CVPREI 2016
Haoyi Zhou, Jun Zhou, Haichuan Yang, Cheng Yan, Xiao Bai and Yunlu Liu
Teaching
Database Management Technology, Undergraduate Course, 2023-26 Spring
Industrial Big Data Technology, Undergraduate Course, 2022-26 Spring
Big Data and Cloud Computing, Undergraduate Course, 2023 Spring
Programming and Algorithms, Graduate Course, 2022-24 Fall
Practical Programming, Undergraduate Course, 2023-26 Summer
Frontier Technology of AI Open Source Computing System, Graduate Course, 2022-26 Spring
Industrial Internet and Big Data, Graduate Course, 2022-24 Spring
Projects
NSFC, PI, Research on Long Sequence Forecasting for Industrial Big Data, 2022
Big data technology is widely applied in industrial digital transformation, and the growth in both the length and scale of sequence data raises the need for long sequence analysis. However, the traditional methods have severe long-term prediction failure and other problems. Based on the leading achievements in our proposed self-attention mechanism, this project plans to focus on the long sequence problems.
[Homepage][News][Sponsor]
NKRDP, PI, Sequence Data Processing Technology, 2022
Preserved.
[Homepage][News][Sponsor]
State-Grid, Co-PI, Supply Chain Construction and Value Mining, 2023
This research proposes a technical system for building and exploring the value of the green and intelligent supply chain. It systematically guides the transformation of enterprises along the chain toward a green and intelligent direction, providing vital support for the high-quality development of the electricity company.
[Homepage][News][Dataset][Sponsor]
Huawei, PI, Kit for Long Sequence Intelligent Computing, 2022
Preserved.
[Homepage][News][Dataset][Sponsor]
Huawei, Co-PI, AI Scientific Computing Software, 2022
Preserved.
[Homepage][News][Dataset][Sponsor]
CAAI-Huawei MindSpore Open Fund, PI, Research on Long Sequence Decision, 2022
This project focuses on the core scientific problem of "Long Sequence Prediction and Decision-making." With original innovation in self-attention mechanisms as its driving force, it distinguishes itself from the traditional approach of decomposing and solving local problems. By unlocking the modeling capabilities, activating collaborative abilities, and strengthening compositional skills, this project not only enhances the fundamental understanding of long sequence prediction but also yields practical insights through feedback and adjustments in real industrial application scenarios.
[Homepage][News][Dataset][Sponsor]
Education
Visiting Scholar in Computer Science
Shenzhen Institute of Computing Sciences (Dec 2021 – June 2022, Shenzhen, China), advisor: Prof. Wenfei Fan
PhD in Computer Software and Theory
Beihang University (Sep 2015 – June 2021, Beijing, China), advisor: Prof. Jianxin Li
Thesis: Generalizable Sequential Data Modeling Method [Link]
Visiting Scholar in Computer Science
Rutgers University (Aug 2019 – Sep 2020, Newark, US), advisor: Prof. Xiong Hui
MSc in Computer Science and Technology
Beihang University (Sep 2013 – Aug 2015, Beijing, China), advisor: Prof. Xiao Bai
Thesis: Graphical Matching and Retrieval of Images [Transfered]
BSc in Aircraft Design and Engineering
Beihang University (Sep 2009 – July 2013, Beijing, China)
Thesis: Numerical Algorithms for Solving Two-point Boundary Problems
Talks
Invited Talk: The OmniArch Equation Solving model Based on MindSpore Framework, Ascend Developer Summit, May 11, 2024
Invited Talk: AI for scientific computing: from the sequential architecture, The 7th Global Intelligent Industry Conference, Mar 31, 2024
Invited Talk: Building AI for scientific computing platform, The 6th Xiuhu Conference, Oct 20, 2023
Spotlight Presentation: AutoST: Towards the Universal Modeling of Spatio-temporal Sequences, NeurIPS (online), Dec 7, 2022
Oral Presentation: Triplet Attention: Rethinking the similarity in Transformers, KDD (online), Aug 17, 2021
Invited Talk: Exploring the long sequence time-series forecasting, Nvidia Symposium, June 30, 2021
Invited Talk: 长序列预测向左，计算复杂度向右, Tianjin University (北洋智算论坛), June 6, 2021
Oral Presentation: Informer: Beyond efficient transformer for long sequence time-series forecasting, AAAI (online), Feb 9, 2021
Invited Talk: The Informer in Long Sequence Time-series Forecasting, BAAI (智源预讲会), Dec 9, 2020
Oral Talk: The Generalization Performance in Machine learning, IWCST (Beijing), Nov 12, 2017
Oral Presentation: Improving the Generalization Performance of Multi-class SVM via Angular Regularization, IJCAI (Melbourne), Aug 23, 2017
LibHunt. Top 22 Python time-series Projects (Ranked 4th), June 1, 2021
Topbots. Top Research Papers With Business Applications, April 12, 2021
TowardsDataScience. Adding the Informer Model to Flow Forecast, April 8, 2021
Qita. 時系列データTransformer論文３選を読んでみた, March 23, 2021
Synced & Medium. AAAI 2021 Best Papers Announced, Feb 4, 2021
将门创投. 从“鹦鹉”到“乌鸦”，AI的本质是探索通用智能的可能性, May 7, 2022
文汇报. 有「最好土壤」的上海，集聚AI「最牛尖子生」, July 12, 2021
澎湃新闻. 这场AI盛会中，后浪与前浪都在讨论什么？, July 12, 2021
解放日报. 数字化时代AI冲浪者，追求产业变革最优解, July 10, 2021
人民日报. 全球AI青年人才论坛：改变世界从改变产业做起, July 9, 2021
中国新闻网. AI青年科学家联盟“A班”朋友圈扩容：中国AI大有可为, July 9, 2021
科技日报. 让数据支撑抗议科学决策——记北航新冠疫情大数据分析团队, June 6, 2020
Academic Service
Journal Reviewer
- Nature Com.Eng, Science China, ACM Computing Survey
- IEEE TPAMI, IEEE TKDE, Machine Learning, AIJ
- IEEE TNNLS, ACM TIST, IEEE TCSS
- Neurocomputing, KBS, Neural Networks, IEEE RA-L
Conference Reviewer
- NIPS 2021-26, ICML 2021-26, ICCV 2022-24, ECCV 2022-23
- KDD 2021-26, ICDM 2021, CIKM 2020-21
- AAAI 2020-26, IJCAI 2020-26, ICLR 2022-25, AISTATS 2025
Others
- The cheif commitee of IJCAI-24 competition, 2024
- The youth assistant editor of Frontiers of Computer Science, 2022-now
- The member of Beijing Youth Internet Association, 2021-now
- The chairperson of CCF Beihang Student Branch, 2014-2015 [link]
