Cao, Jian

24 publications

AAAI 2025 ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model Yang Gu, Jian Cao, Hengyu You, Nengjun Zhu, Shiyou Qian

IJCAI 2025 COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement Zhihao Sui, Liang Hu, Jian Cao, Usman Naseem, Zhongyuan Lai, Qi Zhang

AAAI 2025 DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models Wei Guan, Jian Cao, Jianqi Gao, Haiyan Zhao, Shiyou Qian

NeurIPS 2025 OmniTry: Virtual Try-on Anything Without Masks Yutong Feng, Linlin Zhang, Hengyuan Cao, Yiming Chen, Xiaoduan Feng, Jian Cao, Yuxiong Wu, Bin Wang

ICML 2025 PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs Jianqing Zhang, Yang Liu, Jie Fu, Yang Hua, Tianyuan Zou, Jian Cao, Qiang Yang

MLOSS 2025 PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao

AAAI 2025 Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-Relevant Logical Forms Jianqi Gao, Jian Cao, Ranran Bu, Nengjun Zhu, Wei Guan, Hang Yu

IJCAI 2025 Recalling the Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy Zhihao Sui, Liang Hu, Jian Cao, Dora D. Liu, Usman Naseem, Zhongyuan Lai, Qi Zhang

CVPR 2024 An Upload-Efficient Scheme for Transferring Knowledge from a Server-Side Pre-Trained Generator to Clients in Heterogeneous Federated Learning Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao

AAAI 2024 FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao

IJCAI 2024 R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-Channel Information Fusion for Therapy Recommendation Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Zixuan Yuan, Huanjing Gao

IJCAI 2023 A New ANN-SNN Conversion Method with High Accuracy, Low Latency and Good Robustness Bingsen Wang, Jian Cao, Jue Chen, Shuo Feng, Yuan Wang

NeurIPS 2023 Eliminating Domain Bias for Federated Learning in Representation Space Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

ICCV 2023 GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan

ICLR 2023 Masked Distillation with Receptive Tokens Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu

AAAI 2023 RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang

CVPR 2023 Towards Stable Human Pose Estimation via Cross-View Fusion and Foot Stabilization Li’an Zhuo, Jian Cao, Qi Wang, Bang Zhang, Liefeng Bo

ICML 2023 Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Tobias Schaefer, Matthias Katzfuss

CVPRW 2022 An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution Wenyu Sun, Jian Cao, Pengtao Xu, Xiangcheng Liu, Yuan Zhang, Yuan Wang

IJCAI 2022 RAPQ: Rescuing Accuracy for Power-of-Two Low-Bit Post-Training Quantization Hongyi Yao, Pu Li, Jian Cao, Xiangcheng Liu, Chenying Xie, Bingzhang Wang

JMLR 2022 Scalable Gaussian-Process Regression and Variable Selection Using Vecchia Approximations Jian Cao, Joseph Guinness, Marc G. Genton, Matthias Katzfuss

IJCAI 2017 Diversifying Personalized Recommendation with User-Session Context Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu

AAAI 2014 Deep Modeling of Group Preferences for Group-Based Recommendation Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Wei Cao

IJCAI 2013 Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis Liang Hu, Jian Cao, Guandong Xu, Jie Wang, Zhiping Gu, Longbing Cao