Hao Liu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 82

Top Topics

Reinforcement Learning

Public Transportation

Graph Representations

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. Neurocomputing 574 (2024)
Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Hao Liu, Hui Xiong
Urban Foundation Models: A Survey. KDD (2024)
Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. CoRR (2024)
Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks. KDD (2024)
Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction. CoRR (2024)
Jindong Han, Weijia Zhang, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks. Proc. VLDB Endow. 17 (5) (2024)
Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction. AAAI (2024)
Wenshuo Chao, Zhi Zheng, Hengshu Zhu, Hao Liu
Make Large Language Model a Better Ranker. CoRR (2024)
Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction. KDD (2024)
Hao Liu, Wenzhao Jiang, Shui Liu, Xi Chen
Uncertainty-Aware Probabilistic Travel Time Prediction for On-Demand Ride-Hailing at DiDi. KDD (2023)
Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu
Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Zeming Liu, Ding Zhou, Hao Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu, Hui Xiong
Graph-Grounded Goal Planning for Conversational Recommendation. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Fan Liu, Weijia Zhang, Hao Liu
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training. CoRR (2023)
Siqi Lai, Weijia Zhang, Hao Liu
A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation. KDD (2023)
Wenzhao Jiang, Hao Liu, Hui Xiong
Survey on Trustworthy Graph Neural Networks: From A Causal Perspective. CoRR (2023)
Jindong Han, Hao Liu, Haoyi Xiong, Jing Yang
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Hao Liu, Jindong Han, Yanjie Fu, Yanyan Li, Kai Chen, Hui Xiong
Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training. VLDB J. 32 (2) (2023)
Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Hui Xiong
Polestar++: An Intelligent Routing Engine for National-Wide Public Transportation. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Siqi Lai, Weijia Zhang, Hao Liu
A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation. CoRR (2023)
Hao Yang, Can Gao, Hao Liu, Xinyan Xiao, Yanyan Zhao, Bing Qin
UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning. CoRR (2023)
Jindong Han, Hao Liu, Shui Liu, Xi Chen, Naiqiang Tan, Hua Chai, Hui Xiong
iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation. KDD (2023)
Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Hao Liu, Qingyu Guo, Hengshu Zhu, Yanjie Fu, Fuzhen Zhuang, Xiaojuan Ma, Hui Xiong
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective. ACM Trans. Knowl. Discov. Data 17 (5) (2023)
Fan Liu, Weijia Zhang, Hao Liu
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training. KDD (2023)
Yuecheng Rong, Juntao Yao, Jun Liu, Yifan Fang, Wei Luo, Hao Liu, Jie Ma, Zepeng Dan, Jinzhu Lin, Zhi Wu, Yan Zhang, Chuanming Zhang
GBTTE: Graph Attention Network Based Bus Travel Time Estimation. CIKM (2023)
Weijia Zhang, Hao Liu, Hui Xiong, Tong Xu, Fan Wang, Haoran Xin, Hua Wu
RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong
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. 35 (11) (2023)
Nengjun Zhu, Jian Cao, Xinjiang Lu, Chuanren Liu, Hao Liu, Yanyan Li, Xiangfeng Luo, Hui Xiong
Predicting a Person's Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network. ACM Trans. Knowl. Discov. Data 16 (6) (2022)
Hao Liu, Qian Gao, Xiaochao Liao, Guangxing Chen, Hao Xiong, Silin Ren, Guobao Yang, Zhiwei Zha
Lion: A GPU-Accelerated Online Serving System for Web-Scale Recommendation at Baidu. KDD (2022)
Weijia Zhang, Hao Liu, Jindong Han, Yong Ge, Hui Xiong
Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing. KDD (2022)
Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong
Learning to Walk with Dual Agents for Knowledge Graph Reasoning. AAAI (2022)
Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu
Feature and Instance Joint Selection: A Reinforcement Learning Perspective. IJCAI (2022)
Ting Li, Yiming Zhang, Hao Liu, Guangtao Xue, Ling Liu
Fast Compressive Spectral Clustering for Large-Scale Sparse Graph. IEEE Trans. Big Data 8 (1) (2022)
Hao Liu, Yongxin Tong, Jindong Han, Panpan Zhang, Xinjiang Lu, Hui Xiong
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Yuecheng Rong, Zhimian Xu, Jun Liu, Hao Liu, Jian Ding, Xuanyu Liu, Wei Luo, Chuanming Zhang, Jiaxiang Gao
Du-Bus: A Realtime Bus Waiting Time Estimation System Based On Multi-Source Data. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Hao Liu, Qingyu Guo, Hengshu Zhu, Fuzhen Zhuang, Shenwen Yang, Dejing Dou, Hui Xiong
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond. ACM Trans. Knowl. Discov. Data 16 (5) (2022)
Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Tong Xu, Hui Xiong
Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network. IEEE Trans. Knowl. Data Eng. 34 (8) (2022)
Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu
Feature and Instance Joint Selection: A Reinforcement Learning Perspective. CoRR (2022)
Can Chen, Chen Ma, Xi Chen, Sirui Song, Hao Liu, Xue Liu
Unbiased Implicit Feedback via Bi-level Optimization. CoRR (2022)
Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment. CoRR (2021)
Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong
Spatial Object Recommendation with Hints: When Spatial Granularity Matters. CoRR (2021)
Wei Fan, Kunpeng Liu, Rui Xie, Hao Liu, Hui Xiong, Yanjie Fu
Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance. ICDM (2021)
Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong
Talent Demand Forecasting with Attentive Neural Sequential Model. KDD (2021)
Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue (Steve) Liu, Hao Liu, Dejing Dou
Generalized DataWeighting via Class-Level Gradient Manipulation. NeurIPS (2021)
Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. WWW (2021)
Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong
Community-Aware Multi-Task Transportation Demand Prediction. AAAI (2021)
Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou
Generalized Data Weighting via Class-level Gradient Manipulation. CoRR (2021)
Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. KDD (2021)
Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. CoRR (2021)
Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong
Out-of-Town Recommendation with Travel Intention Modeling. AAAI (2021)
Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. CoRR (2021)
Ding Zhou, Hao Liu, Tong Xu, Le Zhang, Rui Zha, Hui Xiong
Transportation Recommendation with Fairness Consideration. DASFAA (3) (2021)
Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. CoRR (2021)
Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, Hui Xiong
Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching. WWW (2021)
Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. KDD (2021)
Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, Hui Xiong
Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling. AAAI (2021)
Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. AAAI (2021)
Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong
Out-of-Town Recommendation with Travel Intention Modeling. CoRR (2021)
Wei Fan, Kunpeng Liu, Hao Liu, Ahmad Hariri, Dejing Dou, Yanjie Fu
AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning. SDM (2021)
Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment. KDD (2021)
Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong
Learning to Walk with Dual Agents for Knowledge Graph Reasoning. CoRR (2021)
Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu
Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop. CoRR (2020)
Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong
Spatio-Temporal Dual Graph Attention Network for Query-POI Matching. SIGIR (2020)
Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. CoRR (2020)
Shuangli Li, Jingbo Zhou, Tong Xu, Hao Liu, Xinjiang Lu, Hui Xiong
Competitive Analysis for Points of Interest. KDD (2020)
Renjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma, Hui Xiong
Why We Go Where We Go: Profiling User Decisions on Choosing POIs. IJCAI (2020)
Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong
Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine. KDD (2020)
Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong
Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine. CoRR (2020)
Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. AAAI (2020)
Hao Liu, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, Hui Xiong
Multi-Modal Transportation Recommendation with Unified Route Representation Learning. Proc. VLDB Endow. 14 (3) (2020)
Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong
Spatial Object Recommendation with Hints: When Spatial Granularity Matters. SIGIR (2020)
Hao Liu, Yongxin Tong, Panpan Zhang, Xinjiang Lu, Jianguo Duan, Hui Xiong
Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System. KDD (2019)
Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. CoRR (2019)
Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong
Joint Representation Learning for Multi-Modal Transportation Recommendation. AAAI (2019)
Bing He, Dian Zhang, Siyuan Liu, Hao Liu, Dawei Han, Lionel M. Ni
Profiling Driver Behavior for Personalized Insurance Pricing and Maximal Profit. IEEE BigData (2018)
Hao Liu, Jiang Xiao, Haoyu Tan, Qiong Luo, Jintao Zhao, Lionel M. Ni
Efficient Detection of Soft Concatenation Mapping. IEEE Trans. Knowl. Data Eng. 30 (11) (2018)
Fengchao Peng, Xibo Zhou, Hao Liu, Haoyu Tan, Qiong Luo, Jiye Hu
A Time Series Classification Method for Battery Event Detection. ICPADS (2017)
Hao Liu, Jiang Xiao, Fengchao Peng
Scalable Hash Ripple Join on Spark. ICPADS (2017)
Hao Liu, Yudian Ji, Jiang Xiao, Haoyu Tan, Qiong Luo, Lionel M. Ni
TICC: Transparent Inter-Column Compression for Column-Oriented Database Systems. CIKM (2017)
Hao Liu, Jiang Xiao, Xianjun Guo, Haoyu Tan, Qiong Luo, Lionel M. Ni
Cuttle: Enabling Cross-Column Compression in Distributed Column Stores. APWeb/WAIM (2) (2017)
Hongfeng Chai, Hao Liu, Xibo Zhou, Yanjun Xu, Shuo He, Jinzhi Hua, Dongjie He, Weihuai Liu
UStore: An optimized storage system for enterprise data warehouses at UnionPay. IEEE BigData (2016)
Yudian Ji, Hao Liu, Xiaoying Liu, Ye Ding, Wuman Luo
A Comparison of Road-Network-Constrained Trajectory Compression Methods. ICPADS (2016)