default search action
Chen Gao 0001
Person information
- affiliation (PhD 2021): Tsinghua University, BNRist, Department of Electronic Engineering, China
Other persons with the same name
- Chen Gao — disambiguation page
- Chen Gao 0002
— Nanjing University of Science and Technology, School of Automation, China (and 2 more)
- Chen Gao 0003
- Chen Gao 0004 — University of California, Riverside, USA
- Chen Gao 0005
- Chen Gao 0006
- Chen Gao 0007
- Chen Gao 0008
- Chen Gao 0009
- Chen Gao 0010
- Chen Gao 0011
- Chen Gao 0012 — Tongji University, State Key Laboratory of Disaster Reduction in Civil Engineering, Shanghai, China (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j22]Mingshi Yan
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. 42(1): 10:1-10:26 (2024) - [j21]Yingrong Qin
Learning from Hierarchical Structure of Knowledge Graph for Recommendation. ACM Trans. Inf. Syst. 42(1): 18:1-18:24 (2024) - [j20]Chang Meng
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
Alleviating Video-length Effect for Micro-video Recommendation. ACM Trans. Inf. Syst. 42(2): 44:1-44:24 (2024) - [j18]Wenjie Fu
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
Causal Inference in Recommender Systems: A Survey and Future Directions. ACM Trans. Inf. Syst. 42(4): 88:1-88:32 (2024) - [c52]Nian Li, Chen Gao, Mingyu Li, Yong Li, Qingmin Liao:
EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities. ACL (1) 2024: 15523-15536 - [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
Modeling User Fatigue for Sequential Recommendation. SIGIR 2024: 996-1005 - [c49]Guanyu Lin
Inverse Learning with Extremely Sparse Feedback for Recommendation. WSDM 2024: 396-404 - [c48]Guanyu Lin
Mixed Attention Network for Cross-domain Sequential Recommendation. WSDM 2024: 405-413 - [c47]Chen Gao
Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System. WWW (Companion Volume) 2024: 1290-1293 - [c46]Nian Li
Full-stage Diversified Recommendation: Large-scale Online Experiments in Short-video Platform. WWW 2024: 4565-4574 - [c45]Yu Shang
Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing. WWW 2024: 4697-4705 - [c44]Nicholas Sukiennik
Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation. WWW 2024: 4727-4735 - [i52]Siyi Liu, Chen Gao, Yong Li:
Large Language Model Agent for Hyper-Parameter Optimization. CoRR abs/2402.01881 (2024) - [i51]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) - [i50]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) - [i49]Nicholas Sukiennik, Chen Gao, Nian Li:
Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation. CoRR abs/2403.04511 (2024) - [i48]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) - [i47]Xiaochong Lan, Yiming Cheng, Li Sheng, Chen Gao, Yong Li:
Depression Detection on Social Media with Large Language Models. CoRR abs/2403.10750 (2024) - [i46]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) - [i45]Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang:
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector. CoRR abs/2408.08661 (2024) - [i44]Lei Chen, Chen Gao, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li, Meng Wang:
Enhancing ID-based Recommendation with Large Language Models. CoRR abs/2411.02041 (2024) - [i43]Shutong Qiao, Chen Gao, Yong Li, Hongzhi Yin:
LLM-assisted Explicit and Implicit Multi-interest Learning Framework for Sequential Recommendation. CoRR abs/2411.09410 (2024) - [i42]Jiaqi Zhang, Chen Gao, Liyuan Zhang, Yong Li, Hongzhi Yin:
SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World. CoRR abs/2412.07472 (2024) - 2023
- [j16]Chen Gao
Cross-Platform Item Recommendation for Online Social E-Commerce. IEEE Trans. Knowl. Data Eng. 35(2): 1351-1364 (2023) - [j15]Yu Zheng
Incorporating Price into Recommendation With Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 35(2): 1609-1623 (2023) - [j14]Jianxin Chang, Chen Gao
Bundle Recommendation and Generation With Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2326-2340 (2023) - [j13]Nian Li
Disentangled Modeling of Social Homophily and Influence for Social Recommendation. IEEE Trans. Knowl. Data Eng. 35(6): 5738-5751 (2023) - [j12]Yingrong Qin
Disentangling Geographical Effect for Point-of-Interest Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 7883-7897 (2023) - [j11]Chen Gao
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. Trans. Recomm. Syst. 1(1): 1-51 (2023) - [c43]Yunzhu Pan
Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System. CIKM 2023: 4787-4793 - [c42]Yingrong Qin
Modeling Multi-Grained User Preference in Location Visitation. SIGSPATIAL/GIS 2023: 78:1-78:10 - [c41]Yan Wen
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. KDD 2023: 2547-2558 - [c40]Jinzhu Mao
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. KDD 2023: 4617-4627 - [c39]Xiaochong Lan
NEON: Living Needs Prediction System in Meituan. KDD 2023: 5292-5302 - [c38]Yu Shang
Enhancing Adversarial Robustness of Multi-modal Recommendation via Modality Balancing. ACM Multimedia 2023: 6274-6282 - [c37]Yunzhu Pan
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. RecSys 2023: 540-550 - [c36]Yu Shang
Learning Fine-grained User Interests for Micro-video Recommendation. SIGIR 2023: 433-442 - [c35]Taichi Liu
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. SIGIR 2023: 2466-2470 - [c34]Guanyu Lin
Dual-interest Factorization-heads Attention for Sequential Recommendation. WWW 2023: 917-927 - [c33]Yuhan Quan
Robust Preference-Guided Denoising for Graph based Social Recommendation. WWW 2023: 1097-1108 - [c32]Zhenyang Li
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
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
Cross-domain Recommendation with Bridge-Item Embeddings. ACM Trans. Knowl. Discov. Data 16(1): 2:1-2:23 (2022) - [j8]Chen Gao
Item Recommendation for Word-of-Mouth Scenario in Social E-Commerce. IEEE Trans. Knowl. Data Eng. 34(6): 2798-2809 (2022) - [j7]Chen Gao
Social Recommendation With Characterized Regularization. IEEE Trans. Knowl. Data Eng. 34(6): 2921-2933 (2022) - [c31]Yinfeng 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
Automatically Discovering User Consumption Intents in Meituan. KDD 2022: 3259-3269 - [c28]Chang Liu, Chen Gao, Yuan Yuan
Modeling Persuasion Factor of User Decision for Recommendation. KDD 2022: 3366-3376 - [c27]Yu Zheng
DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. ACM Multimedia 2022: 334-345 - [c26]Yinfeng Li
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation. SIGIR 2022: 1997-2002 - [c25]Guanyu Lin
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
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
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
Learning to Recommend With Multiple Cascading Behaviors. IEEE Trans. Knowl. Data Eng. 33(6): 2588-2601 (2021) - [j4]Huandong Wang, Yong Li
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
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
Sequential Recommendation with Graph Neural Networks. SIGIR 2021: 378-387 - [c16]Yu Zheng
DGCN: Diversified Recommendation with Graph Convolutional Networks. WWW 2021: 401-412 - [c15]Yu Zheng
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
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
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
Group-Buying Recommendation for Social E-Commerce. CoRR abs/2010.06848 (2020)
2010 – 2019
- 2019
- [j2]Xichen Wang, Chen Gao, Jingtao Ding, Yong Li
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
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
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] [i44] [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] [c52] [c51] [c50] [c49] [c48] [c47] [c45] [i52] [i51] [i50] [i47] [i46] [i45] [i44] [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]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-07 23:49 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: