Hao Liu

According to our database, Hao Liu authored at least 72 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation.

Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou

Neurocomputing, March, 2024

BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks.

Jindong Han, Weijia Zhang, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong

Proc. VLDB Endow., January, 2024

2023

COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.

Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin

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.

Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong

IEEE Trans. Knowl. Data Eng., November, 2023

RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation.

Weijia Zhang, Hao Liu, Hui Xiong, Tong Xu, Fan Wang, Haoran Xin, Hua Wu

IEEE Trans. Knowl. Data Eng., June, 2023

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

Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Hui Xiong

IEEE Trans. Knowl. Data Eng., June, 2023

Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective.

Hao Liu, Qingyu Guo, Hengshu Zhu, Yanjie Fu, Fuzhen Zhuang, Xiaojuan Ma, Hui Xiong

ACM Trans. Knowl. Discov. Data, June, 2023

Graph-Grounded Goal Planning for Conversational Recommendation.

Zeming Liu, Ding Zhou, Hao Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu, Hui Xiong

IEEE Trans. Knowl. Data Eng., May, 2023

Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network.

Jindong Han, Hao Liu, Haoyi Xiong, Jing Yang

IEEE Trans. Knowl. Data Eng., May, 2023

Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training.

Hao Liu, Jindong Han, Yanjie Fu, Yanyan Li, Kai Chen, Hui Xiong

VLDB J., March, 2023

Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop.

Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu

IEEE Trans. Knowl. Data Eng., 2023

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

Wenzhao Jiang, Hao Liu, Hui Xiong

CoRR, 2023

Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network.

Fan Liu, Siqi Lai, Yansong Ning, Hao Liu

CoRR, 2023

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

Hao Yang, Can Gao, Hao Liu, Xinyan Xiao, Yanyan Zhao, Bing Qin

CoRR, 2023

Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training.

Fan Liu, Weijia Zhang, Hao Liu

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.

Hao Liu, Wenzhao Jiang, Shui Liu, Xi Chen

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.

Siqi Lai, Weijia Zhang, Hao Liu

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.

Jindong Han, Hao Liu, Shui Liu, Xi Chen, Naiqiang Tan, Hua Chai, Hui Xiong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GBTTE: Graph Attention Network Based Bus Travel Time Estimation.

Yuecheng Rong, Juntao Yao, Jun Liu, Yifan Fang, Wei Luo, Hao Liu, Jie Ma, Zepeng Dan, Jinzhu Lin, Zhi Wu, Yan Zhang, Chuanming Zhang

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.

Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Tong Xu, Hui Xiong

IEEE Trans. Knowl. Data Eng., 2022

Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation.

Hao Liu, Yongxin Tong, Jindong Han, Panpan Zhang, Xinjiang Lu, Hui Xiong

IEEE Trans. Knowl. Data Eng., 2022

Predicting a Person's Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network.

Nengjun Zhu, Jian Cao, Xinjiang Lu, Chuanren Liu, Hao Liu, Yanyan Li, Xiangfeng Luo, Hui Xiong

ACM Trans. Knowl. Discov. Data, 2022

Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond.

Hao Liu, Qingyu Guo, Hengshu Zhu, Fuzhen Zhuang, Shenwen Yang, Dejing Dou, Hui Xiong

ACM Trans. Knowl. Discov. Data, 2022

Du-Bus: A Realtime Bus Waiting Time Estimation System Based On Multi-Source Data.

Yuecheng Rong, Zhimian Xu, Jun Liu, Hao Liu, Jian Ding, Xuanyu Liu, Wei Luo, Chuanming Zhang, Jiaxiang Gao

IEEE Trans. Intell. Transp. Syst., 2022

Fast Compressive Spectral Clustering for Large-Scale Sparse Graph.

Ting Li, Yiming Zhang, Hao Liu, Guangtao Xue, Ling Liu

IEEE Trans. Big Data, 2022

Unbiased Implicit Feedback via Bi-level Optimization.

Can Chen, Chen Ma, Xi Chen, Sirui Song, Hao Liu, Xue Liu

CoRR, 2022

A Fine-grained Interpretability Evaluation Benchmark for Neural NLP.

Lijie Wang, Yaozong Shen, Shuyuan Peng, Shuai Zhang, Xinyan Xiao, Hao Liu, Hongxuan Tang, Ying Chen, Hua Wu, Haifeng Wang

CoRR, 2022

Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models.

Fan Liu, Hao Liu, Wenzhao Jiang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Hao Liu, Qian Gao, Xiaochao Liao, Guangxing Chen, Hao Xiong, Silin Ren, Guobao Yang, Zhiwei Zha

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.

Weijia Zhang, Hao Liu, Jindong Han, Yong Ge, Hui Xiong

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.

Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

UNIMO-2: End-to-End Unified Vision-Language Grounded Learning.

Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Learning to Walk with Dual Agents for Knowledge Graph Reasoning.

Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong

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.

Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen

CoRR, 2021

Generalized Data Weighting via Class-level Gradient Manipulation.

Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou

CoRR, 2021

A Multimodal Sentiment Dataset for Video Recommendation.

Hongxuan Tang, Hao Liu, Xinyan Xiao, Hua Wu

CoRR, 2021

A Sentiment Analysis Dataset for Trustworthiness Evaluation.

Lijie Wang, Hao Liu, Shuyuan Peng, Hongxuan Tang, Xinyan Xiao, Ying Chen, Hua Wu

CoRR, 2021

Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning.

Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong

Proceedings of the WWW '21: The Web Conference 2021, 2021

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

Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, Hui Xiong

Proceedings of the WWW '21: The Web Conference 2021, 2021

AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning.

Wei Fan, Kunpeng Liu, Hao Liu, Ahmad Hariri, Dejing Dou, Yanjie Fu

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Generalized DataWeighting via Class-Level Gradient Manipulation.

Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue (Steve) Liu, Hao Liu, Dejing Dou

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.

Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong

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.

Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen

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.

Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong

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.

Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong

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.

Wei Fan, Kunpeng Liu, Rui Xie, Hao Liu, Hui Xiong, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2021

Transportation Recommendation with Fairness Consideration.

Ding Zhou, Hao Liu, Tong Xu, Le Zhang, Rui Zha, Hui Xiong

Proceedings of the Database Systems for Advanced Applications, 2021

UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning.

Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang

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.

Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, Hui Xiong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Out-of-Town Recommendation with Travel Intention Modeling.

Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Community-Aware Multi-Task Transportation Demand Prediction.

Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks.

Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multi-Modal Transportation Recommendation with Unified Route Representation Learning.

Hao Liu, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, Hui Xiong

Proc. VLDB Endow., 2020

Spatio-Temporal Dual Graph Attention Network for Query-POI Matching.

Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong

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.

Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong

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.

Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Competitive Analysis for Points of Interest.

Shuangli Li, Jingbo Zhou, Tong Xu, Hao Liu, Xinjiang Lu, Hui Xiong

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.

Renjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma, Hui Xiong

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning.

Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification.

Yunjie Ji, Hao Liu, Bolei He, Xinyan Xiao, Hua Wu, Yanhua Yu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang, Feng Wu

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.

Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System.

Hao Liu, Yongxin Tong, Panpan Zhang, Xinjiang Lu, Jianguo Duan, Hui Xiong

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Joint Representation Learning for Multi-Modal Transportation Recommendation.

Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Efficient Detection of Soft Concatenation Mapping.

Hao Liu, Jiang Xiao, Haoyu Tan, Qiong Luo, Jintao Zhao, Lionel M. Ni

IEEE Trans. Knowl. Data Eng., 2018

Profiling Driver Behavior for Personalized Insurance Pricing and Maximal Profit.

Bing He, Dian Zhang, Siyuan Liu, Hao Liu, Dawei Han, Lionel M. Ni

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

A Time Series Classification Method for Battery Event Detection.

Fengchao Peng, Xibo Zhou, Hao Liu, Haoyu Tan, Qiong Luo, Jiye Hu

Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

Scalable Hash Ripple Join on Spark.

Hao Liu, Jiang Xiao, Fengchao Peng

Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

TICC: Transparent Inter-Column Compression for Column-Oriented Database Systems.

Hao Liu, Yudian Ji, Jiang Xiao, Haoyu Tan, Qiong Luo, Lionel M. Ni

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Cuttle: Enabling Cross-Column Compression in Distributed Column Stores.

Hao Liu, Jiang Xiao, Xianjun Guo, Haoyu Tan, Qiong Luo, Lionel M. Ni

Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016

A Comparison of Road-Network-Constrained Trajectory Compression Methods.

Yudian Ji, Hao Liu, Xiaoying Liu, Ye Ding, Wuman Luo

Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

UStore: An optimized storage system for enterprise data warehouses at UnionPay.

Hongfeng Chai, Hao Liu, Xibo Zhou, Yanjun Xu, Shuo He, Jinzhi Hua, Dongjie He, Weihuai Liu

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016