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ORCIDChen Gao 0001
Person information
- affiliation (PhD 2021): Tsinghua University, BNRist, Department of Electronic Engineering, China
Other persons with the same name
- Chen Gao
- Chen Gao 0002
![[0000-0003-3595-9839]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3595-9839")
— Nanjing University of Science and Technology, School of Automation, China (and 2 more) - Chen Gao 0003 — Meta, Seattle, WA, USA (and 1 more)
- Chen Gao 0004 — University of California, Riverside, USA
- Chen Gao 0005 — Beihang University, Institute of Artificial Intelligence, Beijing, China (and 1 more)
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2020 – today
- 2024
[j22]Mingshi Yan, Zhiyong Cheng, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li:
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. 42(1): 10:1-10:26 (2024)- [j21]Yingrong Qin, Chen Gao, Shuangqing Wei, Yue Wang, Depeng Jin, Jian Yuan, Lin Zhang, Dong Li, Jianye Hao, Yong Li:
Learning from Hierarchical Structure of Knowledge Graph for Recommendation. ACM Trans. Inf. Syst. 42(1): 18:1-18:24 (2024) - [j20]Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang:
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. 42(1): 30:1-30:27 (2024) - [j19]Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li:
Alleviating Video-length Effect for Micro-video Recommendation. ACM Trans. Inf. Syst. 42(2): 44:1-44:24 (2024) - [j18]Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang:
Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning. ACM Trans. Inf. Syst. 42(3): 82:1-82:29 (2024) - [j17]Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li:
Causal Inference in Recommender Systems: A Survey and Future Directions. ACM Trans. Inf. Syst. 42(4): 88:1-88:32 (2024) - [c51]Xiaochong Lan, Chen Gao, Depeng Jin, Yong Li:
Stance Detection with Collaborative Role-Infused LLM-Based Agents. ICWSM 2024: 891-903 - [c50]Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao:
Modeling User Fatigue for Sequential Recommendation. SIGIR 2024: 996-1005 - [c49]Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li:
Inverse Learning with Extremely Sparse Feedback for Recommendation. WSDM 2024: 396-404 - [c48]Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang:
Mixed Attention Network for Cross-domain Sequential Recommendation. WSDM 2024: 405-413 - [c47]Chen Gao, Fengli Xu, Xu Chen, Xiang Wang, Xiangnan He, Yong Li:
Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System. WWW (Companion Volume) 2024: 1290-1293 - [c46]Nian Li, Yunzhu Pan, Chen Gao, Depeng Jin, Qingmin Liao:
Full-stage Diversified Recommendation: Large-scale Online Experiments in Short-video Platform. WWW 2024: 4565-4574 - [c45]Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Yong Li:
Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing. WWW 2024: 4697-4705 - [c44]Nicholas Sukiennik, Chen Gao, Nian Li:
Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation. WWW 2024: 4727-4735 - [i47]Siyi Liu, Chen Gao, Yong Li:
Large Language Model Agent for Hyper-Parameter Optimization. CoRR abs/2402.01881 (2024) - [i46]Shutong Qiao, Chen Gao, Junhao Wen, Wei Zhou, Qun Luo, Peixuan Chen, Yong Li:
LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation. CoRR abs/2402.13840 (2024) - [i45]Jinzhu Mao, Dongyun Zou, Li Sheng, Siyi Liu, Chen Gao, Yue Wang, Yong Li:
Identify Critical Nodes in Complex Network with Large Language Models. CoRR abs/2403.03962 (2024) - [i44]Pengyang Shao, Chen Gao, Lei Chen, Yonghui Yang, Kun Zhang, Meng Wang:
Improving Cognitive Diagnosis Models with Adaptive Relational Graph Neural Networks. CoRR abs/2403.05559 (2024) - [i43]Xiaochong Lan, Yiming Cheng, Li Sheng, Chen Gao, Yong Li:
Depression Detection on Social Media with Large Language Models. CoRR abs/2403.10750 (2024) - [i42]Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao:
Modeling User Fatigue for Sequential Recommendation. CoRR abs/2405.11764 (2024) - 2023
- [j16]Chen Gao, Tzu-Heng Lin, Nian Li, Depeng Jin, Yong Li:
Cross-Platform Item Recommendation for Online Social E-Commerce. IEEE Trans. Knowl. Data Eng. 35(2): 1351-1364 (2023) - [j15]Yu Zheng, Chen Gao, Xiangnan He, Depeng Jin, Yong Li:
Incorporating Price into Recommendation With Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 35(2): 1609-1623 (2023) - [j14]Jianxin Chang, Chen Gao, Xiangnan He, Depeng Jin, Yong Li:
Bundle Recommendation and Generation With Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2326-2340 (2023) - [j13]Nian Li, Chen Gao, Depeng Jin, Qingmin Liao:
Disentangled Modeling of Social Homophily and Influence for Social Recommendation. IEEE Trans. Knowl. Data Eng. 35(6): 5738-5751 (2023) - [j12]Yingrong Qin, Chen Gao, Yue Wang, Shuangqing Wei, Depeng Jin, Jian Yuan, Lin Zhang:
Disentangling Geographical Effect for Point-of-Interest Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 7883-7897 (2023) - [j11]Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li:
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. Trans. Recomm. Syst. 1(1): 1-51 (2023) - [c43]Yunzhu Pan, Nian Li, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System. CIKM 2023: 4787-4793 - [c42]Yingrong Qin, Chen Gao, Zhen Tu, Hongsheng Wu, Shuangqing Wei, Yue Wang, Lin Zhang, Yong Li:
Modeling Multi-Grained User Preference in Location Visitation. SIGSPATIAL/GIS 2023: 78:1-78:10 - [c41]Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li:
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. KDD 2023: 2547-2558 - [c40]Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li:
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. KDD 2023: 4617-4627 - [c39]Xiaochong Lan, Chen Gao, Shiqi Wen, Xiuqi Chen, Yingge Che, Han Zhang, Huazhou Wei, Hengliang Luo, Yong Li:
NEON: Living Needs Prediction System in Meituan. KDD 2023: 5292-5302 - [c38]Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Huimin Ma, Yong Li:
Enhancing Adversarial Robustness of Multi-modal Recommendation via Modality Balancing. ACM Multimedia 2023: 6274-6282 - [c37]Yunzhu Pan, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Depeng Jin, Yong Li:
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. RecSys 2023: 540-550 - [c36]Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Meng Wang, Yong Li:
Learning Fine-grained User Interests for Micro-video Recommendation. SIGIR 2023: 433-442 - [c35]Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li:
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. SIGIR 2023: 2466-2470 - [c34]Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li:
Dual-interest Factorization-heads Attention for Sequential Recommendation. WWW 2023: 917-927 - [c33]Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li:
Robust Preference-Guided Denoising for Graph based Social Recommendation. WWW 2023: 1097-1108 - [c32]Zhenyang Li, Yancheng Dong, Chen Gao, Yizhou Zhao, Dong Li, Jianye Hao, Kai Zhang, Yong Li, Zhi Wang:
Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System. WWW 2023: 4041-4049 - [i41]Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li:
Dual-interest Factorization-heads Attention for Sequential Recommendation. CoRR abs/2302.03965 (2023) - [i40]Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li:
Robust Preference-Guided Denoising for Graph based Social Recommendation. CoRR abs/2303.08346 (2023) - [i39]Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li:
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. CoRR abs/2307.09866 (2023) - [i38]Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li:
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. CoRR abs/2307.11004 (2023) - [i37]Chen Gao, Xiaochong Lan, Zhihong Lu, Jinzhu Mao, Jinghua Piao, Huandong Wang, Depeng Jin, Yong Li:
S3: Social-network Simulation System with Large Language Model-Empowered Agents. CoRR abs/2307.14984 (2023) - [i36]Xiaochong Lan, Chen Gao, Shiqi Wen, Xiuqi Chen, Yingge Che, Han Zhang, Huazhou Wei, Hengliang Luo, Yong Li:
NEON: Living Needs Prediction System in Meituan. CoRR abs/2307.16644 (2023) - [i35]Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li:
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. CoRR abs/2308.03470 (2023) - [i34]Yunzhu Pan, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Depeng Jin, Yong Li:
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. CoRR abs/2308.04086 (2023) - [i33]Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang:
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models. CoRR abs/2308.12143 (2023) - [i32]Yunzhu Pan, Nian Li, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System. CoRR abs/2308.13249 (2023) - [i31]Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li:
Alleviating Video-Length Effect for Micro-video Recommendation. CoRR abs/2308.14276 (2023) - [i30]Nian Li, Chen Gao, Yong Li, Qingmin Liao:
Large Language Model-Empowered Agents for Simulating Macroeconomic Activities. CoRR abs/2310.10436 (2023) - [i29]Xiaochong Lan, Chen Gao, Depeng Jin, Yong Li:
Stance Detection with Collaborative Role-Infused LLM-Based Agents. CoRR abs/2310.10467 (2023) - [i28]Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang:
Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning. CoRR abs/2311.06049 (2023) - [i27]Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang:
Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration. CoRR abs/2311.06062 (2023) - [i26]Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang:
Mixed Attention Network for Cross-domain Sequential Recommendation. CoRR abs/2311.08272 (2023) - [i25]Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li:
Inverse Learning with Extremely Sparse Feedback for Recommendation. CoRR abs/2311.08302 (2023) - [i24]Fengli Xu, Jun Zhang, Chen Gao, Jie Feng, Yong Li:
Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment. CoRR abs/2312.11813 (2023) - [i23]Chen Gao, Xiaochong Lan, Nian Li, Yuan Yuan, Jingtao Ding, Zhilun Zhou, Fengli Xu, Yong Li:
Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives. CoRR abs/2312.11970 (2023) - 2022
- [j10]Zhilong Chen, Jinghua Piao, Xiaochong Lan, Hancheng Cao, Chen Gao, Zhicong Lu, Yong Li:
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-32 (2022) - [j9]Chen Gao, Yong Li, Fuli Feng, Xiangning Chen, Kai Zhao, Xiangnan He, Depeng Jin:
Cross-domain Recommendation with Bridge-Item Embeddings. ACM Trans. Knowl. Discov. Data 16(1): 2:1-2:23 (2022) - [j8]Chen Gao, Chao Huang, Donghan Yu, Haohao Fu, Tzu-Heng Lin, Depeng Jin, Yong Li:
Item Recommendation for Word-of-Mouth Scenario in Social E-Commerce. IEEE Trans. Knowl. Data Eng. 34(6): 2798-2809 (2022) - [j7]Chen Gao, Nian Li, Tzu-Heng Lin, Dongsheng Lin, Jun Zhang, Yong Li, Depeng Jin:
Social Recommendation With Characterized Regularization. IEEE Trans. Knowl. Data Eng. 34(6): 2921-2933 (2022) - [c31]Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li:
Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks. CIKM 2022: 1209-1218 - [c30]Nian Li, Chen Gao, Jinghua Piao, Xin Huang, Aizhen Yue, Liang Zhou, Qingmin Liao, Yong Li:
An Exploratory Study of Information Cocoon on Short-form Video Platform. CIKM 2022: 4178-4182 - [c29]Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li:
Automatically Discovering User Consumption Intents in Meituan. KDD 2022: 3259-3269 - [c28]Chang Liu, Chen Gao, Yuan Yuan, Chen Bai, Lingrui Luo, Xiaoyi Du, Xinlei Shi, Hengliang Luo, Depeng Jin, Yong Li:
Modeling Persuasion Factor of User Decision for Recommendation. KDD 2022: 3366-3376 - [c27]Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang:
DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. ACM Multimedia 2022: 334-345 - [c26]Yinfeng Li, Chen Gao, Hengliang Luo, Depeng Jin, Yong Li:
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation. SIGIR 2022: 1997-2002 - [c25]Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li:
Dual Contrastive Network for Sequential Recommendation. SIGIR 2022: 2686-2691 - [c24]Chen Gao, Xiang Wang, Xiangnan He, Yong Li:
Graph Neural Networks for Recommender System. WSDM 2022: 1623-1625 - [c23]Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Disentangling Long and Short-Term Interests for Recommendation. WWW 2022: 2256-2267 - [i22]Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Disentangling Long and Short-Term Interests for Recommendation. CoRR abs/2202.13090 (2022) - [i21]Mingshi Yan, Zhiyong Cheng, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li:
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation. CoRR abs/2205.13128 (2022) - [i20]Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang:
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. CoRR abs/2208.01849 (2022) - [i19]Zhilong Chen, Jinghua Piao, Xiaochong Lan, Hancheng Cao, Chen Gao, Zhicong Lu, Yong Li:
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design. CoRR abs/2208.04122 (2022) - [i18]Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang:
DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. CoRR abs/2208.05190 (2022) - [i17]Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li:
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction. CoRR abs/2208.06794 (2022) - [i16]Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li:
Causal Inference in Recommender Systems: A Survey and Future Directions. CoRR abs/2208.12397 (2022) - [i15]Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li:
Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives. CoRR abs/2209.08446 (2022) - 2021
- [j6]Jinghua Piao, Guozhen Zhang, Fengli Xu, Zhilong Chen, Yu Zheng, Chen Gao, Yong Li:
Bringing Friends into the Loop of Recommender Systems: An Exploratory Study. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 439:1-439:26 (2021) - [j5]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song, Depeng Jin:
Learning to Recommend With Multiple Cascading Behaviors. IEEE Trans. Knowl. Data Eng. 33(6): 2588-2601 (2021) - [j4]Huandong Wang, Yong Li, Chen Gao, Gang Wang, Xiaoming Tao, Depeng Jin:
Anonymization and De-Anonymization of Mobility Trajectories: Dissecting the Gaps Between Theory and Practice. IEEE Trans. Mob. Comput. 20(3): 796-815 (2021) - [c22]Jun Zhang, Chen Gao, Depeng Jin, Yong Li:
Group-Buying Recommendation for Social E-Commerce. ICDE 2021: 1536-1547 - [c21]Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li:
Learnable Embedding sizes for Recommender Systems. ICLR 2021 - [c20]Chen Gao, Quanming Yao, Depeng Jin, Yong Li:
Efficient Data-specific Model Search for Collaborative Filtering. KDD 2021: 415-425 - [c19]Yukun Ping, Chen Gao, Taichi Liu, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li:
User Consumption Intention Prediction in Meituan. KDD 2021: 3472-3482 - [c18]Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, Yong Li:
Progressive Feature Interaction Search for Deep Sparse Network. NeurIPS 2021: 392-403 - [c17]Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Sequential Recommendation with Graph Neural Networks. SIGIR 2021: 378-387 - [c16]Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li:
DGCN: Diversified Recommendation with Graph Convolutional Networks. WWW 2021: 401-412 - [c15]Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin:
Disentangling User Interest and Conformity for Recommendation with Causal Embedding. WWW 2021: 2980-2991 - [i14]Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li:
Learnable Embedding Sizes for Recommender Systems. CoRR abs/2101.07577 (2021) - [i13]Chen Gao, Quanming Yao, Depeng Jin, Yong Li:
Efficient Data-specific Model Search for Collaborative Filtering. CoRR abs/2106.07453 (2021) - [i12]Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Sequential Recommendation with Graph Neural Networks. CoRR abs/2106.14226 (2021) - [i11]Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li:
DGCN: Diversified Recommendation with Graph Convolutional Networks. CoRR abs/2108.06952 (2021) - [i10]Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li:
Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. CoRR abs/2109.12843 (2021) - [i9]Chang Liu, Chen Gao, Depeng Jin, Yong Li:
Improving Location Recommendation with Urban Knowledge Graph. CoRR abs/2111.01013 (2021) - [i8]Zirui Zhu, Chen Gao, Xu Chen, Nian Li, Depeng Jin, Yong Li:
Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks. CoRR abs/2111.03344 (2021) - 2020
- [j3]Huandong Wang, Chen Gao, Yong Li, Zhi-Li Zhang, Depeng Jin:
Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs. IEEE Trans. Netw. Serv. Manag. 17(4): 2550-2566 (2020) - [c14]Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin:
Price-aware Recommendation with Graph Convolutional Networks. ICDE 2020: 133-144 - [c13]Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon:
Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. KDD 2020: 3533-3534 - [c12]Bowen Jin, Chen Gao, Xiangnan He, Depeng Jin, Yong Li:
Multi-behavior Recommendation with Graph Convolutional Networks. SIGIR 2020: 659-668 - [c11]Chen Gao, Chao Huang, Dongsheng Lin, Depeng Jin, Yong Li:
DPLCF: Differentially Private Local Collaborative Filtering. SIGIR 2020: 961-970 - [c10]Jianxin Chang, Chen Gao, Xiangnan He, Depeng Jin, Yong Li:
Bundle Recommendation with Graph Convolutional Networks. SIGIR 2020: 1673-1676 - [i7]Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin:
Price-aware Recommendation with Graph Convolutional Networks. CoRR abs/2003.03975 (2020) - [i6]Jianxin Chang, Chen Gao, Xiangnan He, Yong Li, Depeng Jin:
Bundle Recommendation with Graph Convolutional Networks. CoRR abs/2005.03475 (2020) - [i5]Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin:
Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding. CoRR abs/2006.11011 (2020) - [i4]Jun Zhang, Chen Gao, Depeng Jin, Yong Li:
Group-Buying Recommendation for Social E-Commerce. CoRR abs/2010.06848 (2020)
2010 – 2019
- 2019
- [j2]Xichen Wang, Chen Gao, Jingtao Ding, Yong Li, Depeng Jin:
CMBPR: Category-Aided Multi-Channel Bayesian Personalized Ranking for Short Video Recommendation. IEEE Access 7: 48209-48223 (2019) - [j1]Chen Gao, Chao Huang, Yue Yu, Huandong Wang, Yong Li, Depeng Jin:
Privacy-preserving Cross-domain Location Recommendation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 11:1-11:21 (2019) - [c9]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin:
Neural Multi-task Recommendation from Multi-behavior Data. ICDE 2019: 1554-1557 - [c8]Huan Yan, Xiangning Chen, Chen Gao, Yong Li, Depeng Jin:
DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation. IJCAI 2019: 1459-1465 - [c7]Xichen Wang, Chen Gao, Jingtao Ding, Long Hu, Ying Hu, Yong Li, Depeng Jin:
Social Weak-tie Assisted Cross-domain Short Video Recommendation. IWCMC 2019: 1636-1643 - [c6]Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang:
λOpt: Learn to Regularize Recommender Models in Finer Levels. KDD 2019: 978-986 - [c5]Tzu-Heng Lin, Chen Gao, Yong Li:
CROSS: Cross-platform Recommendation for Social E-Commerce. SIGIR 2019: 515-524 - [c4]Chen Gao, Xiangning Chen, Fuli Feng, Kai Zhao, Xiangnan He, Yong Li, Depeng Jin:
Cross-domain Recommendation Without Sharing User-relevant Data. WWW 2019: 491-502 - [i3]Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang:
LambdaOpt: Learn to Regularize Recommender Models in Finer Levels. CoRR abs/1905.11596 (2019) - 2018
- [c3]Tzu-Heng Lin, Chen Gao, Yong Li:
Recommender Systems with Characterized Social Regularization. CIKM 2018: 1767-1770 - [c2]Huandong Wang, Chen Gao, Yong Li, Gang Wang, Depeng Jin, Jingbo Sun:
De-anonymization of Mobility Trajectories: Dissecting the Gaps between Theory and Practice. NDSS 2018 - [i2]Tzu-Heng Lin, Chen Gao, Yong Li:
Recommender Systems with Characterized Social Regularization. CoRR abs/1809.01580 (2018) - [i1]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin:
Learning Recommender Systems from Multi-Behavior Data. CoRR abs/1809.08161 (2018) - 2017
- [c1]Huandong Wang, Chen Gao, Yong Li, Zhi-Li Zhang, Depeng Jin:
From Fingerprint to Footprint: Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs. CIKM 2017: 1209-1218
Coauthor Index
[j21] [j19] [c51] [c49] [c48] [c46] [c45] [j16] [j15] [j14] [j13] [j12] [j11] [c43] [c40] [c38] [c37] [c36] [c35] [c34] [c33] [i41] [i40] [i39] [i37] [i35] [i34] [i32] [i31] [i29] [i26] [i25] [j9] [j8] [j7] [c31] [c29] [c28] [c27] [c26] [c25] [c23] [i22] [i18] [i17] [i15] [j5] [j4] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [j3] [c14] [c12] [c11] [c10] [i7] [i6] [i5] [i4] [j2] [j1] [c9] [c8] [c7] [c4] [c2] [i1] [c1]
[j21] [j19] [j18] [j17] [c51] [c50] [c49] [c48] [c47] [c45] [i47] [i46] [i45] [i43] [i42] [j16] [j15] [j14] [j11] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [j10] [j9] [j8] [j7] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [i22] [i19] [i18] [i17] [i16] [i15] [j6] [j5] [j4] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [j3] [c14] [c13] [c12] [c11] [c10] [i7] [i6] [i5] [i4] [j2] [j1] [c9] [c8] [c7] [c6] [c5] [c4] [i3] [c3] [c2] [i2] [i1] [c1]
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