Chen Gao

Orcid: 0000-0002-7561-5646

Affiliations:
  • Tsinghua University, BNRist, Department of Electronic Engineering, China (PhD 2021)


According to our database1, Chen Gao authored at least 94 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Causal Inference in Recommender Systems: A Survey and Future Directions.
ACM Trans. Inf. Syst., July, 2024

Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning.
ACM Trans. Inf. Syst., May, 2024

Alleviating Video-length Effect for Micro-video Recommendation.
ACM Trans. Inf. Syst., March, 2024

Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation.
ACM Trans. Inf. Syst., January, 2024

Learning from Hierarchical Structure of Knowledge Graph for Recommendation.
ACM Trans. Inf. Syst., January, 2024

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation.
ACM Trans. Inf. Syst., January, 2024

MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector.
CoRR, 2024

Depression Detection on Social Media with Large Language Models.
CoRR, 2024

Improving Cognitive Diagnosis Models with Adaptive Relational Graph Neural Networks.
CoRR, 2024

Identify Critical Nodes in Complex Network with Large Language Models.
CoRR, 2024

LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation.
CoRR, 2024

Large Language Model Agent for Hyper-Parameter Optimization.
CoRR, 2024

Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing.
Proceedings of the ACM on Web Conference 2024, 2024

Full-stage Diversified Recommendation: Large-scale Online Experiments in Short-video Platform.
Proceedings of the ACM on Web Conference 2024, 2024

Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Inverse Learning with Extremely Sparse Feedback for Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Mixed Attention Network for Cross-domain Sequential Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Modeling User Fatigue for Sequential Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Stance Detection with Collaborative Role-Infused LLM-Based Agents.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Disentangling Geographical Effect for Point-of-Interest Recommendation.
IEEE Trans. Knowl. Data Eng., August, 2023

Disentangled Modeling of Social Homophily and Influence for Social Recommendation.
IEEE Trans. Knowl. Data Eng., June, 2023

A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions.
Trans. Recomm. Syst., March, 2023

Bundle Recommendation and Generation With Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., March, 2023

Incorporating Price into Recommendation With Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng., 2023

Cross-Platform Item Recommendation for Online Social E-Commerce.
IEEE Trans. Knowl. Data Eng., 2023

Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives.
CoRR, 2023

Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment.
CoRR, 2023

Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration.
CoRR, 2023

Large Language Model-Empowered Agents for Simulating Macroeconomic Activities.
CoRR, 2023

A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models.
CoRR, 2023

S<sup>3</sup>: Social-network Simulation System with Large Language Model-Empowered Agents.
CoRR, 2023

Robust Preference-Guided Denoising for Graph based Social Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Dual-interest Factorization-heads Attention for Sequential Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System.
Proceedings of the ACM Web Conference 2023, 2023

Learning Fine-grained User Interests for Micro-video Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Enhancing Adversarial Robustness of Multi-modal Recommendation via Modality Balancing.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

NEON: Living Needs Prediction System in Meituan.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Modeling Multi-Grained User Preference in Location Visitation.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Social Recommendation With Characterized Regularization.
IEEE Trans. Knowl. Data Eng., 2022

Item Recommendation for Word-of-Mouth Scenario in Social E-Commerce.
IEEE Trans. Knowl. Data Eng., 2022

Cross-domain Recommendation with Bridge-Item Embeddings.
ACM Trans. Knowl. Discov. Data, 2022

Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design.
Proc. ACM Hum. Comput. Interact., 2022

Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives.
CoRR, 2022

DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction.
CoRR, 2022

Disentangling Long and Short-Term Interests for Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Graph Neural Networks for Recommender System.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Dual Contrastive Network for Sequential Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Modeling Persuasion Factor of User Decision for Recommendation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Automatically Discovering User Consumption Intents in Meituan.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

An Exploratory Study of Information Cocoon on Short-form Video Platform.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Anonymization and De-Anonymization of Mobility Trajectories: Dissecting the Gaps Between Theory and Practice.
IEEE Trans. Mob. Comput., 2021

Learning to Recommend With Multiple Cascading Behaviors.
IEEE Trans. Knowl. Data Eng., 2021

Bringing Friends into the Loop of Recommender Systems: An Exploratory Study.
Proc. ACM Hum. Comput. Interact., 2021

Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks.
CoRR, 2021

Improving Location Recommendation with Urban Knowledge Graph.
CoRR, 2021

Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions.
CoRR, 2021

Disentangling User Interest and Conformity for Recommendation with Causal Embedding.
Proceedings of the WWW '21: The Web Conference 2021, 2021

DGCN: Diversified Recommendation with Graph Convolutional Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Sequential Recommendation with Graph Neural Networks.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Progressive Feature Interaction Search for Deep Sparse Network.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

User Consumption Intention Prediction in Meituan.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Efficient Data-specific Model Search for Collaborative Filtering.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learnable Embedding sizes for Recommender Systems.
Proceedings of the 9th International Conference on Learning Representations, 2021

Group-Buying Recommendation for Social E-Commerce.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs.
IEEE Trans. Netw. Serv. Manag., 2020

Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding.
CoRR, 2020

Multi-behavior Recommendation with Graph Convolutional Networks.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

DPLCF: Differentially Private Local Collaborative Filtering.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Bundle Recommendation with Graph Convolutional Networks.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Price-aware Recommendation with Graph Convolutional Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Privacy-preserving Cross-domain Location Recommendation.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

LambdaOpt: Learn to Regularize Recommender Models in Finer Levels.
CoRR, 2019

CMBPR: Category-Aided Multi-Channel Bayesian Personalized Ranking for Short Video Recommendation.
IEEE Access, 2019

Cross-domain Recommendation Without Sharing User-relevant Data.
Proceedings of the World Wide Web Conference, 2019

CROSS: Cross-platform Recommendation for Social E-Commerce.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

λOpt: Learn to Regularize Recommender Models in Finer Levels.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Social Weak-tie Assisted Cross-domain Short Video Recommendation.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Neural Multi-task Recommendation from Multi-behavior Data.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Learning Recommender Systems from Multi-Behavior Data.
CoRR, 2018

De-anonymization of Mobility Trajectories: Dissecting the Gaps between Theory and Practice.
Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

Recommender Systems with Characterized Social Regularization.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
From Fingerprint to Footprint: Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017


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