Zhou, Xun

19 publications

AAAI 2025 Design Principle Transfer in Neural Architecture Search via Large Language Models Xun Zhou, Xingyu Wu, Liang Feng, Zhichao Lu, Kay Chen Tan

ICML 2025 Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts Yike Yuan, Ziyu Wang, Zihao Huang, Defa Zhu, Xun Zhou, Jingyi Yu, Qiyang Min

ICLR 2025 FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference Xunhao Lai, Jianqiao Lu, Yao Luo, Yiyuan Ma, Xun Zhou

AAAI 2025 GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo

ICLR 2025 Hyper-Connections Defa Zhu, Hongzhi Huang, Zihao Huang, Yutao Zeng, Yunyao Mao, Banggu Wu, Qiyang Min, Xun Zhou

ICLR 2025 Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models Zhijian Zhuo, Ya Wang, Yutao Zeng, Xiaoqing Li, Xun Zhou, Jinwen Ma

WACV 2025 PrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD mAP Construction Nan Peng, Xun Zhou, Mingming Wang, Xiaojun Yang, Songming Chen, Guisong Chen

NeurIPS 2025 UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xun Zhou, Liang Han, Xuetao Wei, Yuxuan Liang

AAAI 2024 FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis Meizhen Zheng, Peng Bai, Xiaodong Shi, Xun Zhou, Yiting Yan

NeurIPS 2024 MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer Minghao Zhu, Zhengpu Wang, Mengxian Hu, Ronghao Dang, Xiao Lin, Xun Zhou, Chengju Liu, Qijun Chen

AAAI 2024 Referee-Meta-Learning for Fast Adaptation of Locational Fairness Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou

NeurIPS 2024 Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment Xin Xiao, Bohong Wu, Jiacong Wang, Chunyuan Li, Xun Zhou, Haoyuan Guo

AAAI 2023 Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun

WACV 2023 Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher Brinton, Zhenming Liu

NeurIPS 2023 SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang

NeurIPS 2022 ProtoX: Explaining a Reinforcement Learning Agent via Prototyping Ronilo Ragodos, Tong Wang, Qihang Lin, Xun Zhou

IJCAI 2022 Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract) Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam

AAAI 2019 Predicting Urban Dispersal Events: A Two-Stage Framework Through Deep Survival Analysis on Mobility Data Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li

NeurIPS 2018 Faster Online Learning of Optimal Threshold for Consistent F-Measure Optimization Xiaoxuan Zhang, Mingrui Liu, Xun Zhou, Tianbao Yang