|
2026 Conference Publication Approximate Graph Propagation Revisited: Dynamic Parameterized Queries, Tighter Bounds and Dynamic UpdatesZhao, Zhuowei, Zhang, Zhuo, Wang, Hanzhi, Gan, Junhao, Bao, Zhifeng and Qi, Jianzhong (2026). Approximate Graph Propagation Revisited: Dynamic Parameterized Queries, Tighter Bounds and Dynamic Updates. New York, NY, USA: ACM. doi: 10.1145/3770855.3817816 |
|
2026 Conference Publication A Sketch+Text Composed Image Retrieval Dataset for ThangkaXu, Jinyu, Sun, Yi, Zhang, Jiangling, Xie, Qing, Ji, Daomin, Bao, Zhifeng, Li, Jiachen, Ma, Yanchun and Liu, Yongjian (2026). A Sketch+Text Composed Image Retrieval Dataset for Thangka. New York, NY, USA: ACM. doi: 10.1145/3805712.3808581 |
|
2026 Conference Publication Decomposition-Driven Multi-Table Retrieval and Reasoning for Numerical Question AnsweringLuo, Feng, Lan, Hai, Luo, Hui, Bao, Zhifeng, Wang, Xiaoli, Culpepper, J.Shane and Sadiq, Shazia (2026). Decomposition-Driven Multi-Table Retrieval and Reasoning for Numerical Question Answering. IEEE. doi: 10.1109/icde65706.2026.00142 |
|
2026 Conference Publication When Complex Event Recognition Meets Cloud-Native ArchitecturesLiu, Shizhe, Dai, Haipeng, Li, Meng, Zhang, Yuemeng, Song, Shaoxu, Bao, Zhifeng, Wang, Hancheng, Gao, Xiaofeng and Chen, Guihai (2026). When Complex Event Recognition Meets Cloud-Native Architectures. IEEE. doi: 10.1109/icde65706.2026.00172 |
|
2026 Conference Publication Benchmarking RL-Enhanced Spatial Indices Against Traditional, Advanced, and Learned CounterpartsLiu, Guanli, Borovica-Gajic, Renata, Lan, Hai and Bao, Zhifeng (2026). Benchmarking RL-Enhanced Spatial Indices Against Traditional, Advanced, and Learned Counterparts. IEEE. doi: 10.1109/icde65706.2026.00050 |
|
2025 Conference Publication MetoHash: A Memory-Efficient and Traffic-Optimized Hashing Index on Hybrid PMem-DRAM MemoriesYu, 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 |
|
2025 Conference Publication Querying Autonomous Vehicle Point Clouds: Enhanced by 3D Object Counting with CounterNetZhang, 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 |
|
2025 Conference Publication Enhancing Transferability and Consistency in Cross-Domain Recommendations via Supervised DisentanglementWang, 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 |
|
2025 Conference Publication Dynamic Structural Clustering Unleashed: Flexible Similarities, Versatile Updates and for All ParametersZhao, 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 |
|
2025 Conference Publication Distinctiveness Maximization in Datasets AssemblageWang, 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 |
|
2024 Conference Publication Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and SparsityChen, 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 |
|
2024 Conference Publication Cost-effective Data Labelling for Graph Neural NetworksHuang, 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 |
|
2021 Conference Publication Robust Road Network Representation Learning : When Traffic Patterns Meet Traveling SemanticsChen, 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 |
|
2021 Conference Publication Public Transport Planning : When Transit Network Connectivity Meets Commuting DemandWang, 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 |
|
2021 Conference Publication Minimizing the Regret of an Influence ProviderZhang, 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 |
|
2021 Conference Publication Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling ApproachHuang, 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 |
|
2020 Conference Publication An Index Advisor Using Deep Reinforcement LearningLan, 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 |
|
2020 Conference Publication Efficient mining of outlying sequence patterns for analyzing outlierness of sequence dataWang, 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 |
|
2020 Conference Publication Effective Travel Time Estimation: When Historical Trajectories over Road Networks MatterYuan, 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 |
|
2020 Conference Publication HQADeepHelper: A Deep Learning System for Healthcare Question AnsweringLuo, 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 |
