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ORCIDChaochao Chen 0001
Chao-Chao Chen 0001
Person information
- affiliation: Zhejiang University, Hangzhou, China
- affiliation (former): Ant Financial Services Group, Hangzhou, China
- affiliation (former): Macquarie University, Sydney, NSW, Australia
- affiliation (PhD 2016): Zhejiang University, Hangzhou, China
Other persons with the same name
- Chaochao Chen (aka: Chao-Chao Chen) — disambiguation page
- Chaochao Chen 0002 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, China
- Chaochao Chen 0003 — Georgia Institute of Technology, Georgia Institute of Technology, Atlanta, GA, Atlanta, GA, USA
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Journal Articles
- 2024
[j31]Chao-Chao Chen, Fei Zheng, Jamie Cui, Yuwei Cao, Guanfeng Liu
, Jia Wu, Jun Zhou:
Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications. Int. J. Mach. Learn. Cybern. 15(8): 3513-3532 (2024)- [j30]Chaochao Chen, Xiaohua Feng, Yuyuan Li, Lingjuan Lyu, Jun Zhou, Xiaolin Zheng, Jianwei Yin:
Integration of large language models and federated learning. Patterns 5(12): 101098 (2024) - [j29]Xiaolin Zheng, Weiming Liu, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan:
Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation. IEEE Trans. Knowl. Data Eng. 36(12): 8758-8772 (2024) - [j28]Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen, Linxun Chen, Bing Han:
Heterogeneous Information Crossing on Graphs for Session-Based Recommender Systems. ACM Trans. Web 18(2): 19:1-19:24 (2024) - 2023
- [j27]Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yan Wang, Biao Gong:
REFER: Randomized Online Factor Selection Framework for portfolio Management. Expert Syst. Appl. 223: 119837 (2023) - [j26]Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang, Linxun Chen:
Selective and collaborative influence function for efficient recommendation unlearning. Expert Syst. Appl. 234: 121025 (2023) - [j25]Jun Zhou, Ke Zhang, Lin Wang, Hua Wu, Yi Wang, Chaochao Chen:
SQLFlow: An Extensible Toolkit Integrating DB and AI. J. Mach. Learn. Res. 24: 116:1-116:9 (2023) - [j24]Tao Lu, Chengkun Wei, Ruijing Yu, Chaochao Chen, Wenjing Fang, Lei Wang, Zeke Wang, Wenzhi Chen:
cuZK: Accelerating Zero-Knowledge Proof with A Faster Parallel Multi-Scalar Multiplication Algorithm on GPUs. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2023(3): 194-220 (2023) - [j23]Chen Chen, Jingfeng Zhang, Xilie Xu, Lingjuan Lyu, Chaochao Chen, Tianlei Hu, Gang Chen:
Decision Boundary-Aware Data Augmentation for Adversarial Training. IEEE Trans. Dependable Secur. Comput. 20(3): 1882-1894 (2023) - [j22]Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu:
A Unified Framework for Cross-Domain and Cross-System Recommendations. IEEE Trans. Knowl. Data Eng. 35(2): 1171-1184 (2023) - [j21]Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Longfei Li, Carl Yang:
Finding High-Quality Item Attributes for Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 7980-7993 (2023) - [j20]Weiming Liu, Xiaolin Zheng, Jiajie Su, Longfei Zheng, Chaochao Chen, Mengling Hu:
Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 35(11): 11216-11230 (2023) - 2022
- [j19]Yuyuan Li, Xiaolin Zheng, Chaochao Chen, Jiawei Wang, Shuai Xu:
Exponential Gradient with Momentum for Online Portfolio Selection. Expert Syst. Appl. 187: 115889 (2022) - [j18]Jun Zhou, Chaochao Chen, Longfei Li, Zhiqiang Zhang, Xiaolin Zheng:
FinBrain 2.0: when finance meets trustworthy AI. Frontiers Inf. Technol. Electron. Eng. 23(12): 1747-1764 (2022) - [j17]Fei Zheng, Chaochao Chen, Xiaolin Zheng, Mingjie Zhu:
Towards secure and practical machine learning via secret sharing and random permutation. Knowl. Based Syst. 245: 108609 (2022) - [j16]Jun Zhou, Longfei Zheng, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin:
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. ACM Trans. Intell. Syst. Technol. 13(4): 53:1-53:21 (2022) - 2021
- [j15]Jun Zhou, Longfei Li, Ziqi Liu, Chaochao Chen:
A Boosting Framework of Factorization Machine. Int. J. Pattern Recognit. Artif. Intell. 35(10): 2159036:1-2159036:20 (2021) - [j14]Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang:
ASFGNN: Automated separated-federated graph neural network. Peer-to-Peer Netw. Appl. 14(3): 1692-1704 (2021) - 2020
- [j13]Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng:
Practical Privacy Preserving POI Recommendation. ACM Trans. Intell. Syst. Technol. 11(5): 52:1-52:20 (2020) - 2019
- [j12]Xiaolin Zheng, Menghan Wang, Chaochao Chen, Yan Wang, Zhehao Cheng:
EXPLORE: EXPLainable item-tag CO-REcommendation. Inf. Sci. 474: 170-186 (2019) - [j11]Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan:
FinBrain: when finance meets AI 2.0. Frontiers Inf. Technol. Electron. Eng. 20(7): 914-924 (2019) - [j10]Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Yuan (Alan) Qi, Zhi-Hua Zhou:
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. ACM Trans. Intell. Syst. Technol. 10(5): 55:1-55:19 (2019) - 2018
- [j9]Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng:
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. ACM Trans. Knowl. Discov. Data 12(6): 73:1-73:24 (2018) - 2017
- [j8]Jun Li, Chaochao Chen, Huiling Chen, Changfei Tong:
Towards Context-aware Social Recommendation via Individual Trust. Knowl. Based Syst. 127: 58-66 (2017) - 2016
- [j7]Shouxian Wei, Xiaolin Zheng, Deren Chen, Chaochao Chen:
A hybrid approach for movie recommendation via tags and ratings. Electron. Commer. Res. Appl. 18: 83-94 (2016) - [j6]Hanqing Lu, Chaochao Chen, Ming Kong, Hanyi Zhang, Zhou Zhao:
Social recommendation via multi-view user preference learning. Neurocomputing 216: 61-71 (2016) - [j5]Fuxing Hong, Xiao-Lin Zheng, Chao-Chao Chen:
Latent space regularization for recommender systems. Inf. Sci. 360: 202-216 (2016) - [j4]Xiaolin Zheng, Weifeng Ding, Zhen Lin, Chaochao Chen:
Topic tensor factorization for recommender system. Inf. Sci. 372: 276-293 (2016) - [j3]Chaochao Chen, Xiaolin Zheng, Mengying Zhu, Litao Xiao:
Recommender System with Composite Social Trust Networks. Int. J. Web Serv. Res. 13(2): 56-73 (2016) - 2015
- [j2]Xiaolin Zheng, Zhen Lin, Huan Xu, Chaochao Chen, Ting Ye:
Efficient learning ensemble SuperParent-one-dependence estimator by maximizing conditional log likelihood. Expert Syst. Appl. 42(21): 7732-7745 (2015) - [j1]Xiaolin Zheng, Chaochao Chen, Jui-Long Hung, Wu He, Fuxing Hong, Zhen Lin:
A Hybrid Trust-Based Recommender System for Online Communities of Practice. IEEE Trans. Learn. Technol. 8(4): 345-356 (2015)
Conference and Workshop Papers
- 2024
- [c79]Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin:
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems. AAAI 2024: 8463-8471 - [c78]Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong:
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. AAAI 2024: 8815-8823 - [c77]Heyuan Huang, Xingyu Lou, Chaochao Chen, Pengxiang Cheng, Yue Xin, Chengwei He, Xiang Liu, Jun Wang:
DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation. CIKM 2024: 910-920 - [c76]Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan:
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CVPR 2024: 22841-22850 - [c75]Xiaohua Feng, Chaochao Chen, Yuyuan Li, Zibin Lin:
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models. EMNLP 2024: 10141-10155 - [c74]Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang:
Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. ICDE 2024: 1310-1323 - [c73]Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong:
Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. ICML 2024 - [c72]Xinping Zhao, Chaochao Chen, Jiajie Su, Yizhao Zhang, Baotian Hu:
Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation. ICWS 2024: 247-257 - [c71]Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin:
Protecting Split Learning by Potential Energy Loss. IJCAI 2024: 5590-5598 - [c70]Fan Wang, Chaochao Chen, Weiming Liu, Tianhao Fan, Xinting Liao, Yanchao Tan, Lianyong Qi, Xiaolin Zheng:
CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. KDD 2024: 3013-3023 - [c69]Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Li Zhang, Yuyuan Li:
Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems. SIGIR 2024: 903-913 - [c68]Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng:
Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. SIGIR 2024: 1722-1732 - [c67]Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jiajie Su, Yanchao Tan, Fan Wang:
User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation. WWW 2024: 334-343 - 2023
- [c66]Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen:
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. AAAI 2023: 4453-4461 - [c65]Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao:
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. ACL (1) 2023: 10493-10507 - [c64]Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang:
Decentralized Graph Neural Network for Privacy-Preserving Recommendation. CIKM 2023: 3494-3504 - [c63]Longfei Zheng, Yingting Liu, Xiaolong Xu, Chaochao Chen, Yuzhou Tang, Lei Wang, Xiaolong Hu:
FedPSE: Personalized Sparsification with Element-wise Aggregation for Federated Learning. CIKM 2023: 3514-3523 - [c62]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. ICDE 2023: 3113-3125 - [c61]Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl Yang:
Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. ICDM 2023: 1349-1354 - [c60]Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian:
Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. ICWS 2023: 405-414 - [c59]Xiaolin Zheng, Senci Ying, Fei Zheng, Jianwei Yin, Longfei Zheng, Chaochao Chen, Fengqin Dong:
Federated Learning on Non-iid Data via Local and Global Distillation. ICWS 2023: 647-657 - [c58]Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng:
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. IJCAI 2023: 2206-2214 - [c57]Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi:
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. IJCAI 2023: 3957-3965 - [c56]Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao:
Reducing Communication for Split Learning by Randomized Top-k Sparsification. IJCAI 2023: 4665-4673 - [c55]Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han, Dan Meng, Jun Wang:
Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. ACM Multimedia 2023: 984-994 - [c54]Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng:
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. ACM Multimedia 2023: 1536-1545 - [c53]Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li:
In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. ACM Multimedia 2023: 6190-6201 - [c52]Zhenghong Lin, Yanchao Tan, Yunfei Zhan, Weiming Liu, Fan Wang, Chaochao Chen, Shiping Wang, Carl Yang:
Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. ACM Multimedia 2023: 6234-6242 - [c51]Weiming Liu, Xiaolin Zheng, Chaochao Chen, Mengling Hu, Xinting Liao, Fan Wang, Yanchao Tan, Dan Meng, Jun Wang:
Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation. ACM Multimedia 2023: 6243-6252 - [c50]Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng:
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. ACM Multimedia 2023: 6321-6331 - [c49]Yuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang:
UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition. NeurIPS 2023 - [c48]Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu:
Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. WWW 2023: 165-176 - [c47]Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan:
Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. WWW 2023: 383-394 - [c46]Zhongxuan Han, Xiaolin Zheng, Chaochao Chen, Wenjie Cheng, Yang Yao:
Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation. WWW 2023: 449-459 - [c45]Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi, Chaochao Chen, Longbiao Chen:
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging. WWW 2023: 673-683 - 2022
- [c44]Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu:
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. CIKM 2022: 1685-1695 - [c43]Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng:
Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. ICDE 2022: 1180-1192 - [c42]Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng:
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. IJCAI 2022: 1959-1965 - [c41]Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen:
MERIT: Learning Multi-level Representations on Temporal Graphs. IJCAI 2022: 2073-2079 - [c40]Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng:
HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. IJCAI 2022: 2270-2276 - [c39]Fei Dai, Guozhi Liu, Bi Huang, Xiaolong Xu, Chaochao Chen, Zhangbing Zhou, Xiaokang Zhou:
A Distributed Privacy-Preserving Framework for Deep Learning with Edge-Cloud Computing. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2022: 250-257 - [c38]Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang:
4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. KDD 2022: 3970-3980 - [c37]Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang:
Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. KDD 2022: 4838-4839 - [c36]Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen:
DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. ACM Multimedia 2022: 471-481 - [c35]Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen:
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. SIGIR 2022: 312-321 - [c34]Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng:
MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. SIGIR 2022: 449-459 - [c33]Bowen Liu, Wanchun Dou, Xiaokang Zhou, Xuyun Zhang, Lianyong Qi, Fei Dai, Chaochao Chen:
An Intelligent Resource Scheduling Method with Edge Channel Deployment for BPM. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 755-762 - [c32]Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen:
Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. WWW 2022: 1181-1190 - [c31]Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang:
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. WWW 2022: 1455-1465 - 2021
- [c30]Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang:
Large-scale Secure XGB for Vertical Federated Learning. CIKM 2021: 443-452 - [c29]Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu:
Cross-Domain Recommendation: Challenges, Progress, and Prospects. IJCAI 2021: 4721-4728 - [c28]Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong:
When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. KDD 2021: 2652-2662 - [c27]Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang:
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. NeurIPS 2021: 10524-10534 - [c26]Weiming Liu, Jiajie Su, Chaochao Chen, Xiaolin Zheng:
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation. NeurIPS 2021: 19223-19234 - 2020
- [c25]Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou:
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. AAAI 2020: 6372-6379 - [c24]Wen-jie Lu, Yixuan Fang, Zhicong Huang, Cheng Hong, Chaochao Chen, Hunter Qu, Yajin Zhou, Kui Ren:
Faster Secure Multiparty Computation of Adaptive Gradient Descent. PPMLP@CCS 2020: 47-49 - [c23]Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, Benyu Zhang:
Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial. CIKM 2020: 3369-3372 - [c22]Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou:
Secure Social Recommendation Based on Secret Sharing. ECAI 2020: 506-512 - [c21]Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng:
A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation. IJCAI 2020: 3001-3008 - 2019
- [c20]Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi:
GeniePath: Graph Neural Networks with Adaptive Receptive Paths. AAAI 2019: 4424-4431 - [c19]Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu:
Adapted Tree Boosting for Transfer Learning. IEEE BigData 2019: 741-750 - [c18]Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng:
DTCDR: A Framework for Dual-Target Cross-Domain Recommendation. CIKM 2019: 1533-1542 - [c17]Bingzhe Wu, Shiwan Zhao, Chaochao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou:
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. NeurIPS 2019: 306-316 - [c16]Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong:
How Much Can A Retailer Sell? Sales Forecasting on Tmall. PAKDD (2) 2019: 204-216 - 2018
- [c15]Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li:
Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization. AAAI 2018: 257-264 - [c14]Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song:
Heterogeneous Graph Neural Networks for Malicious Account Detection. CIKM 2018: 2077-2085 - [c13]Zhiqiang Zhang, Chaochao Chen, Jun Zhou, Xiaolong Li:
An Industrial-Scale System for Heterogeneous Information Card Ranking in Alipay. DASFAA (2) 2018: 713-724 - [c12]Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu:
A Deep Framework for Cross-Domain and Cross-System Recommendations. IJCAI 2018: 3711-3717 - [c11]Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li:
Distributed Collaborative Hashing and Its Applications in Ant Financial. KDD 2018: 100-109 - [c10]Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li:
A Local Online Learning Approach for Non-linear Data. PAKDD (2) 2018: 431-443 - 2017
- [c9]Chaochao Chen, Xinxing Yang, Li Wang, Jun Zhou, Xiaolong Li:
Large scale app recommendation in Ant Financial. IEEE BigData 2017: 4733-4735 - [c8]Ziqi Liu, Chaochao Chen, Jun Zhou, Xiaolong Li, Feng Xu, Tao Chen, Le Song:
POSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection. CCS 2017: 2543-2545 - [c7]Hanqing Lu, Chaochao Chen, Qinyue Jiang:
Sparse Overlap Cross-Platform Recommendation Via Adaptive Similarity Structure Regularization. ICWSM 2017: 600-603 - [c6]Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi:
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. KDD 2017: 1693-1702 - 2016
- [c5]Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Deren Chen:
Capturing Semantic Correlation for Item Recommendation in Tagging Systems. AAAI 2016: 108-114 - 2014
- [c4]Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Zhen Lin:
Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems. AAAI 2014: 9-15 - [c3]Weifeng Ding, Xiaolin Zheng, Chaochao Chen, Zukun Yu, Deren Chen:
Collaborative Topic Modeling for Text Tensors. ICEBE 2014: 89-96 - 2013
- [c2]Chaochao Chen, Jing Zeng, Xiaolin Zheng, Deren Chen:
Recommender System Based on Social Trust Relationships. ICEBE 2013: 32-37 - [c1]Chaochao Chen, Xiaolin Zheng, Chaofei Zhou, Deren Chen:
Making Recommendations on Microblogs through Topic Modeling. WISE Workshops 2013: 252-265
Informal and Other Publications
- 2024
- [i72]Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng:
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. CoRR abs/2402.14473 (2024) - [i71]Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan:
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CoRR abs/2403.16398 (2024) - [i70]Fei Zheng, Chaochao Chen, Zhongxuan Han, Xiaolin Zheng:
PermLLM: Private Inference of Large Language Models within 3 Seconds under WAN. CoRR abs/2405.18744 (2024) - [i69]Xiaohua Feng, Chaochao Chen, Yuyuan Li, Li Zhang:
Controllable Unlearning for Image-to-Image Generative Models via ε-Constrained Optimization. CoRR abs/2408.01689 (2024) - [i68]Chaochao Chen, Jiaming Zhang, Yizhao Zhang, Li Zhang, Lingjuan Lyu, Yuyuan Li, Biao Gong, Chenggang Yan:
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence. CoRR abs/2408.14393 (2024) - [i67]Ziqi Yang, Zhaopeng Peng, Zihui Wang, Jianzhong Qi, Chaochao Chen, Weike Pan, Chenglu Wen, Cheng Wang, Xiaoliang Fan:
Federated Graph Learning for Cross-Domain Recommendation. CoRR abs/2410.08249 (2024) - [i66]Xinping Zhao, Chaochao Chen, Jiajie Su, Yizhao Zhang, Baotian Hu:
Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation. CoRR abs/2410.10296 (2024) - [i65]Heyuan Huang, Xingyu Lou, Chaochao Chen, Pengxiang Cheng, Yue Xin, Chengwei He, Xiang Liu, Jun Wang:
DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation. CoRR abs/2410.10835 (2024) - 2023
- [i64]Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi, Chaochao Chen, Longbiao Chen:
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging. CoRR abs/2302.02738 (2023) - [i63]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. CoRR abs/2302.06141 (2023) - [i62]Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang:
Selective and Collaborative Influence Function for Efficient Recommendation Unlearning. CoRR abs/2304.10199 (2023) - [i61]Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen:
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. CoRR abs/2305.16163 (2023) - [i60]Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao:
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. CoRR abs/2305.16335 (2023) - [i59]Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao:
Reducing Communication for Split Learning by Randomized Top-k Sparsification. CoRR abs/2305.18469 (2023) - [i58]Xiaolin Zheng, Senci Ying, Fei Zheng, Jianwei Yin, Longfei Zheng, Chaochao Chen, Fengqin Dong:
Federated Learning on Non-iid Data via Local and Global Distillation. CoRR abs/2306.14443 (2023) - [i57]Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Jiaming Zhang:
Federated Unlearning via Active Forgetting. CoRR abs/2307.03363 (2023) - [i56]Chaochao Chen, Xiaohua Feng, Jun Zhou, Jianwei Yin, Xiaolin Zheng:
Federated Large Language Model: A Position Paper. CoRR abs/2307.08925 (2023) - [i55]Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi:
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. CoRR abs/2307.14384 (2023) - [i54]Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian:
Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. CoRR abs/2308.08071 (2023) - [i53]Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang:
Decentralized Graph Neural Network for Privacy-Preserving Recommendation. CoRR abs/2308.08072 (2023) - [i52]Haoze Qiu, Fei Zheng, Chaochao Chen, Xiaolin Zheng:
Defending Label Inference Attacks in Split Learning under Regression Setting. CoRR abs/2308.09448 (2023) - [i51]Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng:
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. CoRR abs/2308.11646 (2023) - [i50]Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li:
In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. CoRR abs/2309.01335 (2023) - [i49]Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han, Dan Meng, Jun Wang:
Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. CoRR abs/2310.05847 (2023) - [i48]Mengling Hu, Chaochao Chen, Weiming Liu, Xinyi Zhang, Xinting Liao, Xiaolin Zheng:
Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering. CoRR abs/2311.13953 (2023) - [i47]Mengling Hu, Chaochao Chen, Weiming Liu, Xinting Liao, Xiaolin Zheng:
Federated Learning for Short Text Clustering. CoRR abs/2312.07556 (2023) - 2022
- [i46]Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang:
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. CoRR abs/2202.04893 (2022) - [i45]Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen:
Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. CoRR abs/2202.04920 (2022) - [i44]Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang:
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. CoRR abs/2202.07253 (2022) - [i43]Yuyuan Li, Xiaolin Zheng, Chaochao Chen, Junlin Liu:
Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation. CoRR abs/2203.11491 (2022) - [i42]Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen:
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. CoRR abs/2205.06440 (2022) - [i41]Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao:
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR abs/2205.10014 (2022) - [i40]Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng:
HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. CoRR abs/2205.12042 (2022) - [i39]Yingting Liu, Chaochao Chen, Jamie Cui, Li Wang, Lei Wang:
Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection. CoRR abs/2208.06093 (2022) - [i38]Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu:
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. CoRR abs/2209.01539 (2022) - [i37]Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen:
DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. CoRR abs/2209.10163 (2022) - [i36]Fei Zheng, Chaochao Chen, Binhui Yao, Xiaolin Zheng:
Making Split Learning Resilient to Label Leakage by Potential Energy Loss. CoRR abs/2210.09617 (2022) - [i35]Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen, Linxun Chen, Bing Han:
Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems. CoRR abs/2210.12940 (2022) - [i34]Tao Lu, Chengkun Wei, Ruijing Yu, Yi Chen, Li Wang, Chaochao Chen, Zeke Wang, Wenzhi Chen:
cuZK: Accelerating Zero-Knowledge Proof with A Faster Parallel Multi-Scalar Multiplication Algorithm on GPUs. IACR Cryptol. ePrint Arch. 2022: 1321 (2022) - 2021
- [i33]Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu:
Cross-Domain Recommendation: Challenges, Progress, and Prospects. CoRR abs/2103.01696 (2021) - [i32]Fei Zheng, Chaochao Chen, Xiaolin Zheng:
Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation. CoRR abs/2108.07463 (2021) - [i31]Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu:
A Unified Framework for Cross-Domain and Cross-System Recommendations. CoRR abs/2108.07976 (2021) - [i30]Bingzhe Wu, Zhicong Liang, Yatao Bian, Chaochao Chen, Junzhou Huang, Yuan Yao:
Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis. CoRR abs/2112.08439 (2021) - [i29]Boxin Zhao, Ziqi Liu, Chaochao Chen, Mladen Kolar, Zhiqiang Zhang, Jun Zhou:
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback. CoRR abs/2112.14332 (2021) - 2020
- [i28]Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou:
Secure Social Recommendation based on Secret Sharing. CoRR abs/2002.02088 (2020) - [i27]Yingting Liu, Chaochao Chen, Longfei Zheng, Li Wang, Jun Zhou, Guiquan Liu:
Privacy Preserving PCA for Multiparty Modeling. CoRR abs/2002.02091 (2020) - [i26]Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong:
How Much Can A Retailer Sell? Sales Forecasting on Tmall. CoRR abs/2002.11940 (2020) - [i25]Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu:
Adapted tree boosting for Transfer Learning. CoRR abs/2002.11982 (2020) - [i24]Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song:
Heterogeneous Graph Neural Networks for Malicious Account Detection. CoRR abs/2002.12307 (2020) - [i23]Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng:
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. CoRR abs/2003.02452 (2020) - [i22]Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng:
Practical Privacy Preserving POI Recommendation. CoRR abs/2003.02834 (2020) - [i21]Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang:
Industrial Scale Privacy Preserving Deep Neural Network. CoRR abs/2003.05198 (2020) - [i20]Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li:
Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization. CoRR abs/2003.05610 (2020) - [i19]Chaochao Chen, Liang Li, Wenjing Fang, Jun Zhou, Li Wang, Lei Wang, Shuang Yang, Alex Liu, Hao Wang:
Secret Sharing based Secure Regressions with Applications. CoRR abs/2004.04898 (2020) - [i18]Wenjing Fang, Chaochao Chen, Jin Tan, Chaofan Yu, Yufei Lu, Li Wang, Lei Wang, Jun Zhou, Alex X:
A Hybrid-Domain Framework for Secure Gradient Tree Boosting. CoRR abs/2005.08479 (2020) - [i17]Jun Zhou, Chaochao Chen, Longfei Zheng, Xiaolin Zheng, Bingzhe Wu, Ziqi Liu, Li Wang:
Privacy-Preserving Graph Neural Network for Node Classification. CoRR abs/2005.11903 (2020) - [i16]Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Xiaoxi Ji, Alex Liu, Hao Wang, Cheng Hong:
When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. CoRR abs/2008.08753 (2020) - [i15]Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu:
A Deep Framework for Cross-Domain and Cross-System Recommendations. CoRR abs/2009.06215 (2020) - [i14]Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang:
ASFGNN: Automated Separated-Federated Graph Neural Network. CoRR abs/2011.03248 (2020) - [i13]Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang:
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications. CoRR abs/2011.10180 (2020) - [i12]Yilun Lin, Chaochao Chen, Cen Chen, Li Wang:
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty. CoRR abs/2011.11369 (2020) - [i11]Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin:
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. CoRR abs/2012.09364 (2020) - [i10]Jamie Cui, Chaochao Chen, Li Wang:
Highly-Scalable Protected Graph Database Search with Oblivious Filter. IACR Cryptol. ePrint Arch. 2020: 1415 (2020) - 2019
- [i9]Bingzhe Wu, Shiwan Zhao, Haoyang Xu, Chaochao Chen, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou:
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. CoRR abs/1908.07882 (2019) - [i8]Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou:
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. CoRR abs/1910.02249 (2019) - [i7]Zhaorui Li, Zhicong Huang, Chaochao Chen, Cheng Hong:
Quantification of the Leakage in Federated Learning. CoRR abs/1910.05467 (2019) - [i6]Longfei Li, Ziqi Liu, Chaochao Chen, Ya-Lin Zhang, Jun Zhou, Xiaolong Li:
A Time Attention based Fraud Transaction Detection Framework. CoRR abs/1912.11760 (2019) - 2018
- [i5]Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song:
GeniePath: Graph Neural Networks with Adaptive Receptive Paths. CoRR abs/1802.00910 (2018) - [i4]Li Wang, Chaochao Chen, Jun Zhou, Xiaolong Li:
Time-sensitive Customer Churn Prediction based on PU Learning. CoRR abs/1802.09788 (2018) - [i3]Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li:
Distributed Collaborative Hashing and Its Applications in Ant Financial. CoRR abs/1804.04918 (2018) - [i2]Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou:
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. CoRR abs/1805.04234 (2018) - [i1]Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan:
FinBrain: When Finance Meets AI 2.0. CoRR abs/1808.08497 (2018)
Coauthor Index
[j30] [j29] [j28] [j27] [j26] [j21] [j20] [j19] [j18] [j17] [j16] [j13] [j12] [j11] [j9] [j7] [j4] [j3] [j2] [j1] [c79] [c78] [c76] [c73] [c71] [c70] [c69] [c68] [c66] [c65] [c64] [c60] [c59] [c55] [c54] [c53] [c51] [c50] [c49] [c48] [c47] [c46] [c43] [c42] [c40] [c38] [c36] [c35] [c34] [c32] [c31] [c26] [c21] [c18] [c5] [c4] [c3] [c2] [c1] [i72] [i71] [i70] [i62] [i61] [i60] [i58] [i57] [i56] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i43] [i42] [i41] [i40] [i37] [i36] [i35] [i32] [i23] [i22] [i17] [i11] [i1]
[j31] [j30] [j25] [j22] [j18] [j16] [j15] [j14] [j13] [j10] [c62] [c42] [c41] [c34] [c30] [c29] [c28] [c25] [c23] [c22] [c20] [c19] [c17] [c16] [c15] [c14] [c13] [c11] [c10] [c9] [c8] [c6] [i63] [i56] [i33] [i31] [i29] [i28] [i27] [i26] [i25] [i24] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i14] [i11] [i9] [i8] [i6] [i5] [i4] [i3] [i2]
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