Hao Liu

Orcid: 0000-0003-4271-1567

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading.
IEEE Trans. Knowl. Data Eng., November, 2024

Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation.
Neurocomputing, March, 2024

BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks.
Proc. VLDB Endow., January, 2024

Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning.
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

Labor Migration Modeling through Large-scale Job Query Data.
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

Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction.
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

Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models.
CoRR, 2024

Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction.
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

Urban Foundation Models: A Survey.
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

Make Large Language Model a Better Ranker.
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

Polestar++: An Intelligent Routing Engine for National-Wide Public Transportation.
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

Graph-Grounded Goal Planning for Conversational Recommendation.
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

Large Language Models as Traffic Signal Control Agents: Capacity and Opportunity.
CoRR, 2023

Survey on Trustworthy Graph Neural Networks: From A Causal Perspective.
CoRR, 2023

Machine Learning for Urban Air Quality Analytics: A Survey.
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

UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning.
CoRR, 2023

A Survey on Vertical Federated Learning: From a Layered Perspective.
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

Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

GBTTE: Graph Attention Network Based Bus Travel Time Estimation.
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

Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond.
ACM Trans. Knowl. Discov. Data, 2022

Du-Bus: A Realtime Bus Waiting Time Estimation System Based On Multi-Source Data.
IEEE Trans. Intell. Transp. Syst., 2022

Fast Compressive Spectral Clustering for Large-Scale Sparse Graph.
IEEE Trans. Big Data, 2022

Unbiased Implicit Feedback via Bi-level Optimization.
CoRR, 2022

Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models.
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

Lion: A GPU-Accelerated Online Serving System for Web-Scale Recommendation at Baidu.
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

Feature and Instance Joint Selection: A Reinforcement Learning Perspective.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Fine-grained Interpretability Evaluation Benchmark for Neural NLP.
Proceedings of the 26th Conference on Computational Natural Language Learning, 2022

UNIMO-2: End-to-End Unified Vision-Language Grounded Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Learning to Walk with Dual Agents for Knowledge Graph Reasoning.
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

Generalized Data Weighting via Class-level Gradient Manipulation.
CoRR, 2021

A Multimodal Sentiment Dataset for Video Recommendation.
CoRR, 2021

A Sentiment Analysis Dataset for Trustworthiness Evaluation.
CoRR, 2021

Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching.
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

Generalized DataWeighting via Class-Level Gradient Manipulation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Talent Demand Forecasting with Attentive Neural Sequential Model.
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

Transportation Recommendation with Fairness Consideration.
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

Out-of-Town Recommendation with Travel Intention Modeling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Community-Aware Multi-Task Transportation Demand Prediction.
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

Spatio-Temporal Dual Graph Attention Network for Query-POI Matching.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Spatial Object Recommendation with Hints: When Spatial Granularity Matters.
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

Competitive Analysis for Points of Interest.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Why We Go Where We Go: Profiling User Decisions on Choosing POIs.
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

SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis.
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

Joint Representation Learning for Multi-Modal Transportation Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Efficient Detection of Soft Concatenation Mapping.
IEEE Trans. Knowl. Data Eng., 2018

Profiling Driver Behavior for Personalized Insurance Pricing and Maximal Profit.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
A Time Series Classification Method for Battery Event Detection.
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

Scalable Hash Ripple Join on Spark.
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

TICC: Transparent Inter-Column Compression for Column-Oriented Database Systems.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Cuttle: Enabling Cross-Column Compression in Distributed Column Stores.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016
A Comparison of Road-Network-Constrained Trajectory Compression Methods.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

UStore: An optimized storage system for enterprise data warehouses at UnionPay.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016


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