Zheng, Yu

40 publications

AAAI 2025 AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang

ICCV 2025 D3QE: Learning Discrete Distribution Discrepancy-Aware Quantization Error for Autoregressive-Generated Image Detection Yanran Zhang, Bingyao Yu, Yu Zheng, Wenzhao Zheng, Yueqi Duan, Lei Chen, Jie Zhou, Jiwen Lu

ICLR 2025 Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection Hongru Yan, Yu Zheng, Yueqi Duan

AAAI 2025 Guided Real Image Dehazing Using YCbCr Color Space Wenxuan Fang, Junkai Fan, Yu Zheng, Jiangwei Weng, Ying Tai, Jun Li

ICCV 2025 Learning Counterfactually Decoupled Attention for Open-World Model Attribution Yu Zheng, Boyang Gong, Fanye Kong, Yueqi Duan, Bingyao Yu, Wenzhao Zheng, Lei Chen, Jiwen Lu, Jie Zhou

ICML 2025 Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems Hongyuan Su, Yu Zheng, Yuan Yuan, Yuming Lin, Depeng Jin, Yong Li

ICLR 2025 SVD-LLM: Truncation-Aware Singular Value Decomposition for Large Language Model Compression Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang

NeurIPS 2024 ARC: A Generalist Graph Anomaly Detector with In-Context Learning Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan

TMLR 2024 Efficient Large Language Models: A Survey Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang

ICLR 2024 NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling Kun Wang, Hao Wu, Yifan Duan, Guibin Zhang, Kai Wang, Xiaojiang Peng, Yu Zheng, Yuxuan Liang, Yang Wang

NeurIPS 2024 Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation Yu Zheng, Guangming Wang, Jiuming Liu, Marc Pollefeys, Hesheng Wang

AAAI 2023 AirFormer: Predicting Nationwide Air Quality in China with Transformers Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann

CVPR 2023 Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing Yu Zheng, Jiahui Zhan, Shengfeng He, Junyu Dong, Yong Du

NeurIPS 2023 FedFed: Feature Distillation Against Data Heterogeneity in Federated Learning Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian, Hao Peng, Tongliang Liu, Bo Han

ICML 2023 Finding the Missing-Half: Graph Complementary Learning for Homophily-Prone and Heterophily-Prone Graphs Yizhen Zheng, He Zhang, Vincent Lee, Yu Zheng, Xiao Wang, Shirui Pan

CVPR 2023 Semantic Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention Fangfu Liu, Chubin Zhang, Yu Zheng, Yueqi Duan

AAAI 2023 Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng

AAAI 2023 Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation Gaode Chen, Xinghua Zhang, Yijun Su, Yantong Lai, Ji Xiang, Junbo Zhang, Yu Zheng

NeurIPS 2022 A Unified Model for Multi-Class Anomaly Detection Zhiyuan You, Lei Cui, Yujun Shen, Kai Yang, Xin Lu, Yu Zheng, Xinyi Le

CVPR 2022 Back to Reality: Weakly-Supervised 3D Object Detection with Shape-Guided Label Enhancement Xiuwei Xu, Yifan Wang, Yu Zheng, Yongming Rao, Jie Zhou, Jiwen Lu

ICLR 2022 Deep AutoAugment Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang

AAAI 2022 DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning Xianyuan Zhan, Haoran Xu, Yue Zhang, Xiangyu Zhu, Honglei Yin, Yu Zheng

CVPR 2022 HyperDet3D: Learning a Scene-Conditioned 3D Object Detector Yu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, Qi Tian

NeurIPS 2022 Rethinking and Scaling up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination Yizhen Zheng, Shirui Pan, Vincent CS Lee, Yu Zheng, Philip S Yu

AAAI 2021 Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning Huiling Qin, Songyu Ke, Xiaodu Yang, Haoran Xu, Xianyuan Zhan, Yu Zheng

AAAI 2021 Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng

NeurIPS 2020 Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Shen Yan, Yu Zheng, Wei Ao, Xiao Zeng, Mi Zhang

IJCAI 2020 Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning Hui Xu, Chong Zhang, Jiaxing Wang, Deqiang Ouyang, Yu Zheng, Jie Shao

AAAI 2020 Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach Yu Zheng, Bowei Chen, Timothy M. Hospedales, Yongxin Yang

AAAI 2020 Learning to Generate Maps from Trajectories Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng

ECML-PKDD 2020 Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum

ECCV 2020 Rotation-Robust Intersection over Union for 3D Object Detection Yu Zheng, Danyang Zhang, Sinan Xie, Jiwen Lu, Jie Zhou

ICCVW 2019 HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking Shen Yan, Biyi Fang, Faen Zhang, Yu Zheng, Xiao Zeng, Mi Zhang, Hui Xu

IJCAI 2018 GeoMAN: Multi-Level Attention Networks for Geo-Sensory Time Series Prediction Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng

AAAI 2018 When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks Dong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng

AAAI 2017 Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction Junbo Zhang, Yu Zheng, Dekang Qi

AAAI 2017 Gated Neural Networks for Option Pricing: Rationality by Design Yongxin Yang, Yu Zheng, Timothy M. Hospedales

IJCAI 2016 ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data Xiuwen Yi, Yu Zheng, Junbo Zhang, Tianrui Li

IJCAI 2016 Urban Water Quality Prediction Based on Multi-Task Multi-View Learning Ye Liu, Yu Zheng, Yuxuan Liang, Shuming Liu, David S. Rosenblum

AAAI 2010 Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach Vincent Wenchen Zheng, Bin Cao, Yu Zheng, Xing Xie, Qiang Yang