Zheng, Xiaolin

32 publications

ICLR 2025 Controllable Unlearning for Image-to-Image Generative Models via $\epsilon$-Constrained Optimization XiaoHua Feng, Yuyuan Li, Chaochao Chen, Li Zhang, Longfei Li, Jun Zhou, Xiaolin Zheng

AAAI 2025 DR-VAE: Debiased and Representation-Enhanced Variational Autoencoder for Collaborative Recommendation Fan Wang, Chaochao Chen, Weiming Liu, Minye Lei, Jintao Chen, Yuwen Liu, Xiaolin Zheng, Jianwei Yin

ICML 2025 Efficient Source-Free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization Xiuyuan Wang, Chaochao Chen, Weiming Liu, Xinting Liao, Fan Wang, Xiaolin Zheng

ICML 2025 FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chaochao Chen, Xiaolin Zheng, Tat-Seng Chua

AAAI 2025 FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Wenkai Shen, Jiahe Xu, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng

AAAI 2025 LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning Li Zhang, Chaochao Chen, Zhongxuan Han, Qiyong Zhong, Xiaolin Zheng

NeurIPS 2025 UMU-Bench: Closing the Modality Gap in Multimodal Unlearning Evaluation Chengye Wang, Yuyuan Li, XiaoHua Feng, Chaochao Chen, Xiaolin Zheng, Jianwei Yin

AAAI 2024 ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction Mengpu Liu, Mengying Zhu, Xiuyuan Wang, Guofang Ma, Jianwei Yin, Xiaolin Zheng

NeurIPS 2024 FOOGD: Federated Collaboration for Both Out-of-Distribution Generalization and Detection Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng

AAAI 2024 Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward Mengyuan Yang, Mengying Zhu, Yan Wang, Linxun Chen, Yilei Zhao, Xiuyuan Wang, Bing Han, Xiaolin Zheng, Jianwei Yin

AAAI 2024 Intra- and Inter-Group Optimal Transport for User-Oriented Fairness in Recommender Systems Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin

AAAI 2024 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong

IJCAI 2024 Protecting Split Learning by Potential Energy Loss Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin

ICML 2024 Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong

CVPR 2024 Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan

IJCAI 2023 Deep Hashing-Based Dynamic Stock Correlation Estimation via Normalizing Flow Xiaolin Zheng, Mengpu Liu, Mengying Zhu

AAAI 2023 PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen

AAAI 2023 Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective Qianqiao Liang, Mengying Zhu, Yan Wang, Xiuyuan Wang, Wanjia Zhao, Mengyuan Yang, Hua Wei, Bing Han, Xiaolin Zheng

IJCAI 2023 Spotlight News Driven Quantitative Trading Based on Trajectory Optimization Mengyuan Yang, Mengying Zhu, Qianqiao Liang, Xiaolin Zheng, Menghan Wang

NeurIPS 2023 UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition Yuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang

IJCAI 2022 A Smart Trader for Portfolio Management Based on Normalizing Flows Mengyuan Yang, Xiaolin Zheng, Qianqiao Liang, Bing Han, Mengying Zhu

IJCAI 2022 HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng

IJCAI 2022 Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng

IJCAI 2021 An Adaptive News-Driven Method for CVaR-Sensitive Online Portfolio Selection in Non-Stationary Financial Markets Qianqiao Liang, Mengying Zhu, Xiaolin Zheng, Yan Wang

NeurIPS 2021 Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation Weiming Liu, Jiajie Su, Chaochao Chen, Xiaolin Zheng

IJCAI 2020 A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng

IJCAI 2020 Online Portfolio Selection with Cardinality Constraint and Transaction Costs Based on Contextual Bandit Mengying Zhu, Xiaolin Zheng, Yan Wang, Qianqiao Liang, Wenfang Zhang

AAAI 2018 Collaborative Filtering with Social Exposure: A Modular Approach to Social Recommendation Menghan Wang, Xiaolin Zheng, Yang Yang, Kun Zhang

NeurIPS 2018 Modeling Dynamic Missingness of Implicit Feedback for Recommendation Menghan Wang, Mingming Gong, Xiaolin Zheng, Kun Zhang

IJCAI 2018 Recurrent Collaborative Filtering for Unifying General and Sequential Recommender Disheng Dong, Xiaolin Zheng, Ruixun Zhang, Yan Wang

AAAI 2016 Capturing Semantic Correlation for Item Recommendation in Tagging Systems Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Deren Chen

AAAI 2014 Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Zhen Lin