Jizhou Huang

Orcid: 0000-0003-1022-0309

According to our database1, Jizhou Huang authored at least 44 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
Polynomial time auditing of statistical subgroup fairness for Gaussian data.
CoRR, 2024

A Scalable Open-Source System for Segmenting Urban Areas with Road Networks.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
Progressive generation of 3D point clouds with hierarchical consistency.
Pattern Recognit., April, 2023

Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation.
IEEE Trans. Serv. Comput., 2023

Matching Point of Interests and Travel Blog with Multi-view Information Fusion.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Spatial Heterophily Aware Graph Neural Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
From distributed machine learning to federated learning: a survey.
Knowl. Inf. Syst., 2022

POLARIS: A Geographic Pre-trained Model and its Applications in Baidu Maps.
CoRR, 2022

DuARE: Automatic Road Extraction with Aerial Images and Trajectory Data at Baidu Maps.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

DuIVA: An Intelligent Voice Assistant for Hands-free and Eyes-free Voice Interaction with the Baidu Maps App.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

ERNIE-GeoL: A Geography-and-Language Pre-trained Model and its Applications in Baidu Maps.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

DuTraffic: Live Traffic Condition Prediction with Trajectory Data and Street Views at Baidu Maps.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DuARUS: Automatic Geo-object Change Detection with Street-view Imagery for Updating Road Database at Baidu Maps.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DuIVRS: A Telephonic Interactive Voice Response System for Large-Scale POI Attribute Acquisition at Baidu Maps.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DuMapper: Towards Automatic Verification of Large-Scale POIs with Street Views at Baidu Maps.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Coherent Dialog Generation with Query Graph.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

Adversarial Neural Trip Recommendation.
CoRR, 2021

Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones.
CoRR, 2021

HGAMN: Heterogeneous Graph Attention Matching Network for Multilingual POI Retrieval at Baidu Maps.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Meta-Learned Spatial-Temporal POI Auto-Completion for the Search Engine at Baidu Maps.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Curriculum Meta-Learning for Next POI Recommendation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

An Investigation of Containment Measure Implementation and Public Responses to the COVID-19 Pandemic in Mainland China.
Proceedings of the IEEE International Conference on Digital Health, 2021

DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Multi-Task Learning for Entity Recommendation and Document Ranking in Web Search.
ACM Trans. Intell. Syst. Technol., 2020

Personalized Query Auto-Completion for Large-Scale POI Search at Baidu Maps.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Personalized Prefix Embedding for POI Auto-Completion in the Search Engine of Baidu Maps.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Multistage Ranking Strategy for Personalized Hotel Recommendation with Human Mobility Data.
Proceedings of the ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, 2020

An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Learning to Discover Curbside Parking Spaces from Vehicle Trajectories.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Entity Highlight Generation as Statistical and Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Learning to Recommend Related Entities With Serendipity for Web Search Users.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2018

Improving Entity Recommendation with Search Log and Multi-Task Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Learning to Explain Entity Relationships by Pairwise Ranking with Convolutional Neural Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Generating Recommendation Evidence Using Translation Model.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2007
Extracting Chatbot Knowledge from Online Discussion Forums.
Proceedings of the IJCAI 2007, 2007


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