| 2026 | AAAI | Fine-Tuned LLMs Know They Don't Know: A Parameter-Efficient Approach to Recovering Honesty. | Zeyu Shi, Ziming Wang, Tianyu Chen, Shiqi Gao, Haoyi Zhou, Qingyun Sun, Jianxin Li |
| 2026 | AAAI | FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence. | Guoan Wan, Tianyu Chen, Fangzheng Feng, Haoyi Zhou, Runhua Xu |
| 2026 | AAAI | Towards Long-window Anchoring in Vision-Language Model Distillation. | Haoyi Zhou, Shuo Li, Tianyu Chen, Qi Song, Chonghan Gao, Jianxin Li |
| 2026 | ICDE | Table Question Answering via Adaptive Routing. | Yang Liu, Mengyi Yan, Jiao Xue, Weilong Ren, Yutong Ye, Haoyi Zhou, Jianxin Li, Zhumin Chen |
| 2025 | AAAI | FLUE: Streamlined Uncertainty Estimation for Large Language Models. | Shiqi Gao, Tianxiang Gong, Zijie Lin, Runhua Xu, Haoyi Zhou, Jianxin Li |
| 2025 | AAAI | MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection. | Shuai Zhang, Yu Fan, Haoyi Zhou, Bo Li |
| 2025 | ACL | Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? | Ziming Wang, Zeyu Shi, Haoyi Zhou, Shiqi Gao, Qingyun Sun, Jianxin Li |
| 2025 | CVPR | 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 |
| 2025 | ICML | OmniArch: Building Foundation Model for Scientific Computing. | Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Rongye Shi, Shanghang Zhang, Jianxin Li |
| 2025 | ICML | 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 |
| 2025 | IJCAI | FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers. | Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Zhenzhe Zhang, Tianchen Zhu, Shanghang Zhang, Jianxin Li |
| 2024 | AAAI | Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification. | Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong |
| 2024 | AAAI | Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning. | Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li |
| 2024 | APWEB | ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection. | Ziqi Yuan, Haoyi Zhou, Qingyun Sun, Jianxin Li |
| 2024 | CCS | 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 |
| 2024 | WSDM | PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization. | Ziqi Yuan, Haoyi Zhou, Tianyu Chen, Jianxin Li |
| 2024 | SDM | MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies. | Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Zukun Zhu, Jianxin Li |
| 2023 | EACL | 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 |
| 2023 | ICASSP | BadRes: Reveal the Backdoors Through Residual Connection. | Mingrui He, Tianyu Chen, Haoyi Zhou, Shanghang Zhang, Jianxin Li |
| 2023 | ICDE | CLDG: Contrastive Learning on Dynamic Graphs. | Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng |
| 2023 | IJCAI | Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution. | Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li |
| 2022 | ACL | 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 |
| 2022 | ECCV | 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 |
| 2022 | ICASSP | Learning Music Sequence Representation From Text Supervision. | Tianyu Chen, Yuan Xie, Shuai Zhang, Shaohan Huang, Haoyi Zhou, Jianxin Li |
| 2022 | IWQoS | AIQoSer: Building the efficient Inference-QoS for AI Services. | Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qingyun Sun, Chunyang Jiang, Shuai Zhang, Chunming Hu |
| 2022 | WSDM | MtCut: A Multi-Task Framework for Ranked List Truncation. | Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao |
| 2021 | AAAI | Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. | Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang |
| 2021 | ICDM | MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series. | Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang |
| 2021 | KDD | Triplet Attention: Rethinking the Similarity in Transformers. | Haoyi Zhou, Jianxin Li, Jieqi Peng, Shuai Zhang, Shanghang Zhang |
| 2018 | ICNC | Classification of Reservoir Fracture Development Level by Convolution Neural Network Algorithm. | Zhengyang Wu, Xiuwen Mo, Haoyi Zhou, Lipan Liu, Jinfeng Li |
| 2018 | IJCNN | A Time-Sensitive Hybrid Learning Model for Patient Subgrouping. | Yingchun Zhang, Haoyi Zhou, Jianxin Li, Wanlu Sun, Yahong Chen |
| 2017 | IJCAI | Improving the Generalization Performance of Multi-class SVM via Angular Regularization. | Jianxin Li, Haoyi Zhou, Pengtao Xie, Yingchun Zhang |