Hao Chen

Orcid: 0000-0001-6816-5344

Affiliations:
  • Hong Kong Polytechnic University
  • Beihang University, School of Computer Science and Engineering, State Key Laboratory of Software Development Environment, Beijing, China (former)


According to our database1, Hao Chen authored at least 36 papers between 2018 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Collaborative Graph Neural Networks for Attributed Network Embedding.
IEEE Trans. Knowl. Data Eng., March, 2024

Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL.
CoRR, 2024

Cost-efficient Knowledge-based Question Answering with Large Language Models.
CoRR, 2024

Structure Guided Large Language Model for SQL Generation.
CoRR, 2024

Large Language Model Interaction Simulator for Cold-Start Item Recommendation.
CoRR, 2024

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.
Proceedings of the ACM on Web Conference 2024, 2024

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Feedback Reciprocal Graph Collaborative Filtering.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Enhancing Explainable Rating Prediction through Annotated Macro Concepts.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
KnowGPT: Black-Box Knowledge Injection for Large Language Models.
CoRR, 2023

Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Aligning Distillation For Cold-start Item Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multi-channel Integrated Recommendation with Exposure Constraints.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multi-factor Sequential Re-ranking with Perception-Aware Diversification.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Planning Assembly Sequence with Graph Transformer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering.
Proceedings of the IEEE International Conference on Data Mining, 2023

Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection.
Proceedings of the IEEE International Conference on Data Mining, 2023

Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Neighbor enhanced graph convolutional networks for node classification and recommendation.
Knowl. Based Syst., 2022

Flattened Graph Convolutional Networks For Recommendation.
CoRR, 2022

GPatch: Patching Graph Neural Networks for Cold-Start Recommendations.
CoRR, 2022

Generative Adversarial Framework for Cold-Start Item Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
Deep Attentive Multimodal Network Representation Learning for Social Media Images.
ACM Trans. Internet Techn., 2021

Non-Recursive Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
SeqST-GAN: Seq2Seq Generative Adversarial Nets for Multi-step Urban Crowd Flow Prediction.
ACM Trans. Spatial Algorithms Syst., 2020

Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems.
IEEE Trans. Knowl. Data Eng., 2020

Single-Layer Graph Convolutional Networks For Recommendation.
CoRR, 2020

Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Label-Aware Graph Convolutional Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Graph Unfolding Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Label Aware Graph Convolutional Network - Not All Edges Deserve Your Attention.
CoRR, 2019

FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018
Unrest News Amount Prediction with Context-Aware Attention LSTM.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018


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