Hao Liu
Orcid: 0000-0003-4271-1567Affiliations:
- Hong Kong University of Science and Technology-Guangzhou (HKUST-GZ), Guangzhou, China
- Baidu Research, Business Intelligence Lab, Beijing, China
- Hong Kong University of Science and Technology (HKUST), Tai Po Tsai, Hong Kong (PhD 2017)
- South China University of Technology, Guangzhou, China (former)
According to our database1,
Hao Liu
authored at least 101 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Knowl. Data Eng., November, 2024
Neurocomputing, March, 2024
BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks.
Proc. VLDB Endow., January, 2024
CoRR, 2024
A Prompt-Guided Spatio-Temporal Transformer Model for National-Wide Nuclear Radiation Forecasting.
CoRR, 2024
Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal.
CoRR, 2024
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting.
CoRR, 2024
Erase then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning.
CoRR, 2024
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning.
CoRR, 2024
CoRR, 2024
Empowering Pre-Trained Language Models for Spatio-Temporal Forecasting via Decoupling Enhanced Discrete Reprogramming.
CoRR, 2024
Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting.
CoRR, 2024
Unleash The Power of Pre-Trained Language Models for Irregularly Sampled Time Series.
CoRR, 2024
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations.
CoRR, 2024
CoRR, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.
IEEE Trans. Knowl. Data Eng., December, 2023
Kill Two Birds With One Stone: A Multi-View Multi-Adversarial Learning Approach for Joint Air Quality and Weather Prediction.
IEEE Trans. Knowl. Data Eng., November, 2023
RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation.
IEEE Trans. Knowl. Data Eng., June, 2023
IEEE Trans. Knowl. Data Eng., June, 2023
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective.
ACM Trans. Knowl. Discov. Data, June, 2023
IEEE Trans. Knowl. Data Eng., May, 2023
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network.
IEEE Trans. Knowl. Data Eng., May, 2023
Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training.
VLDB J., March, 2023
Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop.
IEEE Trans. Knowl. Data Eng., 2023
CoRR, 2023
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network.
CoRR, 2023
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network.
CoRR, 2023
CoRR, 2023
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Uncertainty-Aware Probabilistic Travel Time Prediction for On-Demand Ride-Hailing at DiDi.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs.
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network.
IEEE Trans. Knowl. Data Eng., 2022
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation.
IEEE Trans. Knowl. Data Eng., 2022
Predicting a Person's Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network.
ACM Trans. Knowl. Discov. Data, 2022
ACM Trans. Knowl. Discov. Data, 2022
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Big Data, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 26th Conference on Computational Natural Language Learning, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment.
CoRR, 2021
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance.
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the Database Systems for Advanced Applications, 2021
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Multi-Modal Transportation Recommendation with Unified Route Representation Learning.
Proc. VLDB Endow., 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
IEEE Trans. Knowl. Data Eng., 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the Web and Big Data - First International Joint Conference, 2017
2016
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016