Xu, Jian

33 publications

AISTATS 2025 Bayesian Gaussian Process ODEs via Double Normalizing Flows Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, Delu Zeng, John Paisley

ICCV 2025 Federated Continual Instruction Tuning Haiyang Guo, Fanhu Zeng, Fei Zhu, Wenzhuo Liu, Da-Han Wang, Jian Xu, Xu-Yao Zhang, Cheng-Lin Liu

AAAI 2025 Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information Yi Chen, Jian Xu, Xu-Yao Zhang, Wen-Zhuo Liu, Yang-Yang Liu, Cheng-Lin Liu

NeurIPS 2025 Think Before Recommendation: Autonomous Reasoning-Enhanced Recommender Xiaoyu Kong, Junguang Jiang, Bin Liu, Ziru Xu, Han Zhu, Jian Xu, Bo Zheng, Jiancan Wu, Xiang Wang

UAI 2025 Variational Learning of Gaussian Process Latent Variable Models Through Stochastic Gradient Annealed Importance Sampling Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng, John Paisley

AAAI 2025 pFedGPA: Diffusion-Based Generative Parameter Aggregation for Personalized Federated Learning Jiahao Lai, Jiaqi Li, Jian Xu, Yanru Wu, Boshi Tang, Siqi Chen, Yongfeng Huang, Wenbo Ding, Yang Li

NeurIPS 2024 AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games Kefan Su, Yusen Huo, Zhilin Zhang, Shuai Dou, Chuan Yu, Jian Xu, Zongqing Lu, Bo Zheng

ICML 2024 COALA: A Practical and Vision-Centric Federated Learning Platform Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu

AAAI 2024 FAVOR: Full-Body AR-Driven Virtual Object Rearrangement Guided by Instruction Text Kailin Li, Lixin Yang, Zenan Lin, Jian Xu, Xinyu Zhan, Yifei Zhao, Pengxiang Zhu, Wenxiong Kang, Kejian Wu, Cewu Lu

ICML 2024 Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference Jian Xu, Delu Zeng, John Paisley

AAAI 2024 Sparse Variational Student-T Processes Jian Xu, Delu Zeng

NeurIPS 2024 Unleashing Region Understanding in Intermediate Layers for MLLM-Based Referring Expression Generation Yaoyuan Liang, Zhuojun Cai, Jian Xu, Guanbo Huang, Yiran Wang, Xiao Liang, Jiahao Liu, Ziran Li, Jingang Wang, Shao-Lun Huang

ICMLW 2023 A Joint Training-Calibration Framework for Test-Time Personalization with Label Distribution Shift in Federated Learning Jian Xu, Shao-Lun Huang

ICCV 2023 CHORD: Category-Level Hand-Held Object Reconstruction via Shape Deformation Kailin Li, Lixin Yang, Haoyu Zhen, Zenan Lin, Xinyu Zhan, Licheng Zhong, Jian Xu, Kejian Wu, Cewu Lu

IJCAI 2023 Curriculum Multi-Level Learning for Imbalanced Live-Stream Recommendation Shuodian Yu, Junqi Jin, Li Ma, Xiaofeng Gao, Xiaopeng Wu, Haiyang Xu, Jian Xu

CVPR 2023 POEM: Reconstructing Hand in a Point Embedded Multi-View Stereo Lixin Yang, Jian Xu, Licheng Zhong, Xinyu Zhan, Zhicheng Wang, Kejian Wu, Cewu Lu

ICLR 2023 Personalized Federated Learning with Feature Alignment and Classifier Collaboration Jian Xu, Xinyi Tong, Shao-Lun Huang

IJCAI 2023 Truthful Auctions for Automated Bidding in Online Advertising Yidan Xing, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen

NeurIPS 2022 APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Hongbo Deng, Jian Xu, Bo Zheng

NeurIPS 2022 GBA: A Tuning-Free Approach to Switch Between Synchronous and Asynchronous Training for Recommendation Models Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng

ECCV 2022 Object Level Depth Reconstruction for Category Level 6d Object Pose Estimation from Monocular RGB Image Zhaoxin Fan, Zhenbo Song, Jian Xu, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He

NeurIPS 2022 Sustainable Online Reinforcement Learning for Auto-Bidding Zhiyu Mou, Yusen Huo, Rongquan Bai, Mingzhou Xie, Chuan Yu, Jian Xu, Bo Zheng

CVPR 2022 TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization Adjoint with Moving Speed Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng

ECML-PKDD 2020 Calibrating User Response Predictions in Online Advertising Chao Deng, Hao Wang, Qing Tan, Jian Xu, Kun Gai

ICML 2020 Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai

ICML 2020 Learning Optimal Tree Models Under Beam Search Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai

IJCAI 2020 Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted B-Matching Problems in Online Advertising Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai

NeurIPS 2019 Joint Optimization of Tree-Based Index and Deep Model for Recommender Systems Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai

ECCV 2018 Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification Danfeng Hong, Naoto Yokoya, Jian Xu, Xiaoxiang Zhu

AAAI 2018 Unsupervised Part-Based Weighting Aggregation of Deep Convolutional Features for Image Retrieval Jian Xu, Cunzhao Shi, Cheng-Zuo Qi, Chunheng Wang, Baihua Xiao

ECML-PKDD 2017 UAPD: Predicting Urban Anomalies from Spatial-Temporal Data Xian Wu, Yuxiao Dong, Chao Huang, Jian Xu, Dong Wang, Nitesh V. Chawla

NeurIPS 2016 A Bio-Inspired Redundant Sensing Architecture Anh Tuan Nguyen, Jian Xu, Zhi Yang

AAAI 2016 Lift-Based Bidding in Ad Selection Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-chih Lee, Hang Qi, Quan Lu