Zhou, Haoyi

16 publications

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

IJCAI 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

CVPR 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

AAAI 2025 MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection Shuai Zhang, Yu Fan, Haoyi Zhou, Bo Li

ICML 2025 OmniArch: Building Foundation Model for Scientific Computing Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Rongye Shi, Shanghang Zhang, Jianxin Li

ICML 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

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

NeurIPS 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

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

AAAI 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

IJCAI 2023 Towards Long-Delayed Sparsity: Learning a Better Transformer Through Reward Redistribution Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li

NeurIPS 2022 AutoST: Towards the Universal Modeling of Spatio-Temporal Sequences Jianxin Li, Shuai Zhang, Hui Xiong, Haoyi Zhou

NeurIPS 2022 Jump Self-Attention: Capturing High-Order Statistics in Transformers Haoyi Zhou, Siyang Xiao, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li

ECCV 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

AAAI 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

IJCAI 2017 Improving the Generalization Performance of Multi-Class SVM via Angular Regularization Jianxin Li, Haoyi Zhou, Pengtao Xie, Yingchun Zhang