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2025

Conference Publication

MetoHash: A Memory-Efficient and Traffic-Optimized Hashing Index on Hybrid PMem-DRAM Memories

Yu, Zixiang, Deng, Guangyang, Shen, Zhirong, Su, Qiangsheng, Wu, Ronglong, Wang, Xiaoli, Xu, Quanqing, Yang, Chuanhui and Bao, Zhifeng (2025). MetoHash: A Memory-Efficient and Traffic-Optimized Hashing Index on Hybrid PMem-DRAM Memories. SC '25: The International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, MO United States, 16 - 21 November 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3712285.3759776

MetoHash: A Memory-Efficient and Traffic-Optimized Hashing Index on Hybrid PMem-DRAM Memories

2025

Conference Publication

Querying Autonomous Vehicle Point Clouds: Enhanced by 3D Object Counting with CounterNet

Zhang, Xiaoyu, Bao, Zhifeng, Dong, Hai, Wang, Ziwei and Liu, Jiajun (2025). Querying Autonomous Vehicle Point Clouds: Enhanced by 3D Object Counting with CounterNet. MM '25: The 33rd ACM International Conference on Multimedia, Dublin, Ireland, 27 - 31 October 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3746027.3755043

Querying Autonomous Vehicle Point Clouds: Enhanced by 3D Object Counting with CounterNet

2025

Conference Publication

Enhancing Transferability and Consistency in Cross-Domain Recommendations via Supervised Disentanglement

Wang, Yuhan, Xie, Qing, Bao, Zhifeng, Tang, Mengzi, Li, Lin and Liu, Yongjian (2025). Enhancing Transferability and Consistency in Cross-Domain Recommendations via Supervised Disentanglement. RecSys '25: Nineteenth ACM Conference on Recommender Systems, Prague, Czech Republic, 22 - 26 September 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3705328.3748044

Enhancing Transferability and Consistency in Cross-Domain Recommendations via Supervised Disentanglement

2025

Conference Publication

Dynamic Structural Clustering Unleashed: Flexible Similarities, Versatile Updates and for All Parameters

Zhao, Zhuowei, Gan, Junhao, Ruan, Boyu, Bao, Zhifeng, Qi, Jianzhong and Wang, Sibo (2025). Dynamic Structural Clustering Unleashed: Flexible Similarities, Versatile Updates and for All Parameters. KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, 3 - 7 August 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3711896.3736918

Dynamic Structural Clustering Unleashed: Flexible Similarities, Versatile Updates and for All Parameters

2025

Conference Publication

Distinctiveness Maximization in Datasets Assemblage

Wang, Tingting, Huang, Shixun, Bao, Zhifeng, Culpepper, J. Shane, Dedeoglu, Volkan and Arablouei, Reza (2025). Distinctiveness Maximization in Datasets Assemblage. WWW '25: The ACM Web Conference 2025, Sydney, NSW, Australia, 28 April-2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3696410.3714830

Distinctiveness Maximization in Datasets Assemblage

2024

Conference Publication

Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity

Chen, Minxiao, Yuan, Haitao, Jiang, Nan, Bao, Zhifeng and Wang, Shangguang (2024). Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity. CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management, Boise, ID United States, 21 - 25 October 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3627673.3679567

Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity

2024

Conference Publication

Cost-effective Data Labelling for Graph Neural Networks

Huang, Shixun, Lee, Ge, Bao, Zhifeng and Pan, Shirui (2024). Cost-effective Data Labelling for Graph Neural Networks. WWW '24: The ACM Web Conference 2024, Singapore, 13 - 17 May 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3589334.3645339

Cost-effective Data Labelling for Graph Neural Networks

2021

Conference Publication

Robust Road Network Representation Learning : When Traffic Patterns Meet Traveling Semantics

Chen, Yile, Li, Xiucheng, Cong, Gao, Bao, Zhifeng, Long, Cheng, Liu, Yiding, Chandran, Arun Kumar and Ellison, Richard (2021). Robust Road Network Representation Learning : When Traffic Patterns Meet Traveling Semantics. CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Online, 1 - 5 November 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3459637.3482293

Robust Road Network Representation Learning : When Traffic Patterns Meet Traveling Semantics

2021

Conference Publication

Public Transport Planning : When Transit Network Connectivity Meets Commuting Demand

Wang, Sheng, Sun, Yuan, Musco, Christopher and Bao, Zhifeng (2021). Public Transport Planning : When Transit Network Connectivity Meets Commuting Demand. SIGMOD/PODS '21: International Conference on Management of Data, Online, 20 - 25 June 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3448016.3457247

Public Transport Planning : When Transit Network Connectivity Meets Commuting Demand

2021

Conference Publication

Minimizing the Regret of an Influence Provider

Zhang, Yipeng, Li, Yuchen, Bao, Zhifeng, Zheng, Baihua and Jagadish, H. V. (2021). Minimizing the Regret of an Influence Provider. SIGMOD/PODS '21: International Conference on Management of Data, Online, 20 - 25 June 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3448016.3457257

Minimizing the Regret of an Influence Provider

2021

Conference Publication

Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach

Huang, Shixun, Li, Yuchen, Bao, Zhifeng and Li, Zhao (2021). Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach. 2021 IEEE 37th International Conference on Data Engineering (ICDE), Chania, Greece, 19-22 April 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icde51399.2021.00052

Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach

2020

Conference Publication

An Index Advisor Using Deep Reinforcement Learning

Lan, Hai, Bao, Zhifeng and Peng, Yuwei (2020). An Index Advisor Using Deep Reinforcement Learning. CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Online, 19 - 23 October 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3340531.3412106

An Index Advisor Using Deep Reinforcement Learning

2020

Conference Publication

Efficient mining of outlying sequence patterns for analyzing outlierness of sequence data

Wang, Tingting, Duan, Lei, Dong, Guozhu and Bao, Zhifeng (2020). Efficient mining of outlying sequence patterns for analyzing outlierness of sequence data. 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), London, England, 19-23 August 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3399671

Efficient mining of outlying sequence patterns for analyzing outlierness of sequence data

2020

Conference Publication

Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter

Yuan, Haitao, Li, Guoliang, Bao, Zhifeng and Feng, Ling (2020). Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter. SIGMOD/PODS '20: International Conference on Management of Data, Portland, OR United States, 14 - 19 June 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3318464.3389771

Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter

2020

Conference Publication

HQADeepHelper: A Deep Learning System for Healthcare Question Answering

Luo, Feng, Wang, Xiaoli, Wu, Qingfeng, Liang, Jiaying, Qiu, Xueliang and Bao, Zhifeng (2020). HQADeepHelper: A Deep Learning System for Healthcare Question Answering. WWW '20: The Web Conference 2020, Taipei, Taiwan, 20 - 24 April 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3366424.3383539

HQADeepHelper: A Deep Learning System for Healthcare Question Answering

2020

Conference Publication

Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling

Liu, Yiding, Zhao, Kaiqi, Cong, Gao and Bao, Zhifeng (2020). Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling. 2020 IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX United States, 20-24 April 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icde48307.2020.00087

Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling

2019

Conference Publication

Querying Continuous Recurrent Convoys of Interest

Yadamjav, Munkh-Erdene, Bao, Zhifeng, Choudhury, Farhana M., Samet, Hanan and Zheng, Baihua (2019). Querying Continuous Recurrent Convoys of Interest. SIGSPATIAL '19: 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Chicago, IL United States, 5 - 8 November 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3347146.3359083

Querying Continuous Recurrent Convoys of Interest

2019

Conference Publication

Optimizing Impression Counts for Outdoor Advertising

Zhang, Yipeng, Li, Yuchen, Bao, Zhifeng, Mo, Songsong and Zhang, Ping (2019). Optimizing Impression Counts for Outdoor Advertising. WSDM '19: The Twelfth ACM International Conference on Web Search and Data Mining, Melbourne, VIC Australia, 11 - 15 February 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3292500.3330829

Optimizing Impression Counts for Outdoor Advertising

2019

Conference Publication

Effective Medical Archives Processing Using Knowledge Graphs

Wang, Xiaoli, Wang, Rongzhen, Bao, Zhifeng, Liang, Jiayin and Lu, Wei (2019). Effective Medical Archives Processing Using Knowledge Graphs. SIGIR '19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France, 21 - 25 July 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3331184.3331350

Effective Medical Archives Processing Using Knowledge Graphs

2019

Conference Publication

Interactive Visualization of Urban Areas of Interest : A Parameter-Free and Efficient Footprint Method

Li, Mingzhao, Bao, Zhifeng, Choudhury, Farhana and Sellis, Timos (2019). Interactive Visualization of Urban Areas of Interest : A Parameter-Free and Efficient Footprint Method. WSDM '19: The Twelfth ACM International Conference on Web Search and Data Mining, Melbourne, VIC Australia, 11 - 15 February 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3289600.3290612

Interactive Visualization of Urban Areas of Interest : A Parameter-Free and Efficient Footprint Method