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ORCIDBin Cui 0001
Person information
- affiliation: Peking University, School of Electronics Engineering and Computer Science, Beijing, China
- affiliation (former): National University of Singapore, School of Computing, Singapore
- affiliation: Peking University, Beijing, China
Other persons with the same name
- Bin Cui 0002 — Donghua University, College of Mechanical Engineering, Shanghai, China
- Bin Cui 0003
![[0000-0001-5258-8000]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5258-8000")
— Tsinghua University, Department of Electrical Engineering, Beijing, China - Bin Cui 0004 — Wuhan University, School of Geodesy and Geomatics, China (and 1 more)
- Bin Cui 0005 — Shandong Normal University, School of Physics and Electronics, Jinan, China
- Bin Cui 0006 — Shanghai University, School of Communication and Information Engineering, China
- Bin Cui 0007 — Zhejiang University, Hangzhou, China
- Bin Cui 0008 — Shanghai Jiao Tong University, Department of Instrument Science and Engineering, China
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2020 – today
- 2021
[j69]Jie Gu, Bin Cui, Shan Lu:
A classification framework for multivariate compositional data with Dirichlet feature embedding. Knowl. Based Syst. 212: 106614 (2021)- [j68]Shiwen Wu, Yuanxing Zhang, Wentao Zhang, Kaigui Bian, Bin Cui:
Enhanced review-based rating prediction by exploiting aside information and user influence. Knowl. Based Syst. 222: 107015 (2021) - [j67]Yahui Sun, Xiaokui Xiao, Bin Cui, Saman K. Halgamuge, Theodoros Lappas, Jun Luo:
Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights. Proc. VLDB Endow. 14(7): 1137-1149 (2021) - [j66]Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui:
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation. Proc. VLDB Endow. 14(9): 1489-1502 (2021) - [j65]Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui:
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. Proc. VLDB Endow. 14(11): 2167-2176 (2021) - [j64]Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui:
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. Proc. VLDB Endow. 14(11): 2473-2482 (2021) - [j63]Yingxia Shao, Xupeng Li, Yiru Chen, Lele Yu, Bin Cui:
Sys-TM: A Fast and General Topic Modeling System. IEEE Trans. Knowl. Data Eng. 33(6): 2790-2802 (2021) - [j62]Yunyan Guo, Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Bin Cui, Jianzhong Li:
Model averaging in distributed machine learning: a case study with Apache Spark. VLDB J. 30(4): 693-712 (2021) - [j61]Yingxia Shao, Shiyue Huang, Yawen Li, Xupeng Miao, Bin Cui, Lei Chen:
Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs. VLDB J. 30(5): 769-797 (2021) - [c135]Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui:
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements. AAAI 2021: 8491-8500 - [c134]Yikuan Xia, Jun Gao, Bin Cui:
iMap: Incremental Node Mapping between Large Graphs Using GNN. CIKM 2021: 2191-2200 - [c133]Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding:
CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation. CIKM 2021: 4253-4263 - [c132]Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen:
UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling. ICDE 2021: 516-527 - [c131]Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang:
CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract). ICDE 2021: 2330-2331 - [c130]Xu Xie, Fei Sun, Xiaoyong Yang, Zhao Yang, Jinyang Gao, Wenwu Ou, Bin Cui:
Explore User Neighborhood for Real-time E-commerce Recommendation. ICDE 2021: 2464-2475 - [c129]Rong Zhu, Andreas Pfadler, Ziniu Wu, Yuxing Han, Xiaoke Yang, Feng Ye, Zhenping Qian, Jingren Zhou, Bin Cui:
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications. ICDE 2021: 2613-2624 - [c128]Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui:
Challenges and Opportunities of Building Fast GBDT Systems. IJCAI 2021: 4661-4668 - [c127]Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang:
DeGNN: Improving Graph Neural Networks with Graph Decomposition. KDD 2021: 1223-1233 - [c126]Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui:
ROD: Reception-aware Online Distillation for Sparse Graphs. KDD 2021: 2232-2242 - [c125]Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui:
OpenBox: A Generalized Black-box Optimization Service. KDD 2021: 3209-3219 - [c124]Fangcheng Fu, Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui:
VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning. SIGMOD Conference 2021: 563-576 - [c123]Xinyi Zhang, Hong Wu, Zhuo Chang, Shuowei Jin, Jian Tan, Feifei Li, Tieying Zhang, Bin Cui:
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases. SIGMOD Conference 2021: 2102-2114 - [c122]Xupeng Miao, Xiaonan Nie, Yingxia Shao, Zhi Yang, Jiawei Jiang, Lingxiao Ma, Bin Cui:
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce. SIGMOD Conference 2021: 2262-2270 - [c121]Wentao Zhang, Yu Shen, Yang Li, Lei Chen, Zhi Yang, Bin Cui:
ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks. SIGMOD Conference 2021: 2366-2374 - [c120]Zheng Zhong, Shen Yan, Zikun Li, Decheng Tan, Tong Yang, Bin Cui:
BurstSketch: Finding Bursts in Data Streams. SIGMOD Conference 2021: 2375-2383 - [i30]Xu Xie, Fei Sun, Xiaoyong Yang, Zhao Yang, Jinyang Gao, Wenwu Ou, Bin Cui:
Explore User Neighborhood for Real-time E-commerce Recommendation. CoRR abs/2103.00442 (2021) - [i29]Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing. CoRR abs/2104.09880 (2021) - [i28]Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding:
CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation. CoRR abs/2105.13881 (2021) - [i27]Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui:
OpenBox: A Generalized Black-box Optimization Service. CoRR abs/2106.00421 (2021) - [i26]Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui:
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. CoRR abs/2107.08861 (2021) - [i25]Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui:
ROD: Reception-aware Online Distillation for Sparse Graphs. CoRR abs/2107.11789 (2021) - [i24]Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui:
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. CoRR abs/2108.00219 (2021) - [i23]Wentao Zhang, Zeang Sheng, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui:
Evaluating Deep Graph Neural Networks. CoRR abs/2108.00955 (2021) - [i22]Wentao Zhang, Ziqi Yin, Zeang Sheng, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
Graph Attention Multi-Layer Perceptron. CoRR abs/2108.10097 (2021) - [i21]Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui:
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. CoRR abs/2109.05877 (2021) - [i20]Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui:
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies. CoRR abs/2110.10423 (2021) - [i19]Xinyi Zhang, Zhuo Chang, Yang Li, Hong Wu, Jian Tan, Feifei Li, Bin Cui:
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation. CoRR abs/2110.12654 (2021) - [i18]Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
Node Dependent Local Smoothing for Scalable Graph Learning. CoRR abs/2110.14377 (2021) - [i17]Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
RIM: Reliable Influence-based Active Learning on Graphs. CoRR abs/2110.14854 (2021) - [i16]Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, Hongsheng Li:
PointCLIP: Point Cloud Understanding by CLIP. CoRR abs/2112.02413 (2021) - [i15]Xupeng Miao, Hailin Zhang, Yining Shi, Xiaonan Nie, Zhi Yang, Yangyu Tao, Bin Cui:
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework. CoRR abs/2112.07221 (2021) - [i14]Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui:
Efficient Diversity-Driven Ensemble for Deep Neural Networks. CoRR abs/2112.13316 (2021) - [i13]Xiaonan Nie, Shijie Cao, Xupeng Miao, Lingxiao Ma, Jilong Xue, Youshan Miao, Zichao Yang, Zhi Yang, Bin Cui:
Dense-to-Sparse Gate for Mixture-of-Experts. CoRR abs/2112.14397 (2021) - [i12]Shicheng Gao, Jie Xu, Xiaosen Li, Fangcheng Fu, Wentao Zhang, Wen Ouyang, Yangyu Tao, Bin Cui:
K-Core Decomposition on Super Large Graphs with Limited Resources. CoRR abs/2112.14840 (2021) - 2020
- [b2]Yingxia Shao, Bin Cui, Lei Chen:
Large-scale Graph Analysis: System, Algorithm and Optimization. Springer 2020, ISBN 978-981-15-3927-5, pp. 1-146 - [j60]Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui:
Snapshot boosting: a fast ensemble framework for deep neural networks. Sci. China Inf. Sci. 63(1): 112102 (2020) - [j59]Yingxia Shao, Yanyan Shen, Bin Cui, Jeffrey Xu Yu:
DASFAA 20202 Special Issue Editorial. Data Sci. Eng. 5(4): 331-332 (2020) - [j58]Shiwen Wu, Yuanxing Zhang, Chengliang Gao, Kaigui Bian, Bin Cui:
GARG: Anonymous Recommendation of Point-of-Interest in Mobile Networks by Graph Convolution Network. Data Sci. Eng. 5(4): 433-447 (2020) - [j57]Yahui Sun, Jun Luo, Theodoros Lappas, Xiaokui Xiao, Bin Cui:
Hunting multiple bumps in graphs. Proc. VLDB Endow. 13(5): 656-669 (2020) - [j56]Yinda Zhang, Jinyang Li, Yutian Lei, Tong Yang, Zhetao Li, Gong Zhang, Bin Cui:
On-Off Sketch: A Fast and Accurate Sketch on Persistence. Proc. VLDB Endow. 14(2): 128-140 (2020) - [j55]Long Guo, Lifeng Hua, Rongfei Jia, Fei Fang, Binqiang Zhao, Bin Cui:
EdgeDIPN: a Unified Deep Intent Prediction Network Deployed at the Edge. Proc. VLDB Endow. 14(3): 320-328 (2020) - [j54]Lingtong Liu, Yulong Shen, Yibo Yan, Tong Yang, Muhammad Shahzad, Bin Cui, Gaogang Xie:
SF-Sketch: A Two-Stage Sketch for Data Streams. IEEE Trans. Parallel Distributed Syst. 31(10): 2263-2276 (2020) - [j53]Jiawei Jiang, Fangcheng Fu, Tong Yang, Yingxia Shao, Bin Cui:
SKCompress: compressing sparse and nonuniform gradient in distributed machine learning. VLDB J. 29(5): 945-972 (2020) - [c119]Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui:
Efficient Automatic CASH via Rising Bandits. AAAI 2020: 4763-4771 - [c118]Minxu Zhang, Yingxia Shao, Kai Lei, Yuesheng Zhu, Bin Cui:
Densely-Connected Transformer with Co-attentive Information for Matching Text Sequences. APWeb/WAIM (2) 2020: 230-244 - [c117]Yuanxing Zhang, Pengyu Zhao, Yushuo Guan, Lin Chen, Kaigui Bian, Lingyang Song, Bin Cui, Xiaoming Li:
Preference-Aware Mask for Session-Based Recommendation with Bidirectional Transformer. ICASSP 2020: 3412-3416 - [c116]Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui:
Efficient Diversity-Driven Ensemble for Deep Neural Networks. ICDE 2020: 73-84 - [c115]Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui:
Group Recommendation with Latent Voting Mechanism. ICDE 2020: 121-132 - [c114]Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang:
C olumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent. ICDE 2020: 1513-1524 - [c113]Jiawei Jiang, Pin Xiao, Lele Yu, Xiaosen Li, Jiefeng Cheng, Xupeng Miao, Zhipeng Zhang, Bin Cui:
PSGraph: How Tencent trains extremely large-scale graphs with Spark? ICDE 2020: 1549-1557 - [c112]Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui:
Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript. ICML 2020: 3304-3314 - [c111]Xiangyang Gou, Long He, Yinda Zhang, Ke Wang, Xilai Liu, Tong Yang, Yi Wang, Bin Cui:
Sliding Sketches: A Framework using Time Zones for Data Stream Processing in Sliding Windows. KDD 2020: 1015-1025 - [c110]Jizhou Li, Zikun Li, Yifei Xu, Shiqi Jiang, Tong Yang, Bin Cui, Yafei Dai, Gong Zhang:
WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data Streams. KDD 2020: 1574-1584 - [c109]Wentao Zhang, Xupeng Miao, Yingxia Shao, Jiawei Jiang, Lei Chen, Olivier Ruas, Bin Cui:
Reliable Data Distillation on Graph Convolutional Network. SIGMOD Conference 2020: 1399-1414 - [c108]Yingxia Shao, Shiyue Huang, Xupeng Miao, Bin Cui, Lei Chen:
Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs. SIGMOD Conference 2020: 1797-1812 - [e8]Yunmook Nah, Bin Cui, Sang-Won Lee, Jeffrey Xu Yu, Yang-Sae Moon, Steven Euijong Whang:
Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12112, Springer 2020, ISBN 978-3-030-59409-1 [contents] - [e7]Yunmook Nah, Bin Cui, Sang-Won Lee, Jeffrey Xu Yu, Yang-Sae Moon, Steven Euijong Whang:
Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12113, Springer 2020, ISBN 978-3-030-59415-2 [contents] - [e6]Yunmook Nah, Bin Cui, Sang-Won Lee, Jeffrey Xu Yu, Yang-Sae Moon, Steven Euijong Whang:
Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12114, Springer 2020, ISBN 978-3-030-59418-3 [contents] - [i11]Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen:
UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling. CoRR abs/2010.04895 (2020) - [i10]Xu Xie, Fei Sun, Zhaoyang Liu, Jinyang Gao, Bolin Ding, Bin Cui:
Contrastive Pre-training for Sequential Recommendation. CoRR abs/2010.14395 (2020) - [i9]Shiwen Wu, Wentao Zhang, Fei Sun, Bin Cui:
Graph Neural Networks in Recommender Systems: A Survey. CoRR abs/2011.02260 (2020) - [i8]Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui:
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation. CoRR abs/2011.09022 (2020) - [i7]Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui:
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements. CoRR abs/2012.03011 (2020) - [i6]Rong Zhu, Andreas Pfadler, Ziniu Wu, Yuxing Han, Xiaoke Yang, Feng Ye, Zhenping Qian, Jingren Zhou, Bin Cui:
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications. CoRR abs/2012.03540 (2020) - [i5]Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui:
Efficient Automatic CASH via Rising Bandits. CoRR abs/2012.04371 (2020)
2010 – 2019
- 2019
- [j52]Yingxia Shao, Jialin Liu, Shuyang Shi, Yuemei Zhang, Bin Cui:
Fast De-anonymization of Social Networks with Structural Information. Data Sci. Eng. 4(1): 76-92 (2019) - [j51]Dongxiang Zhang, Wei Wang, Bin Cui, Heng Tao Shen:
Special Issue of APWeb-WAIM 2019. Data Sci. Eng. 4(4): 291-292 (2019) - [j50]Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui:
An Experimental Evaluation of Large Scale GBDT Systems. Proc. VLDB Endow. 12(11): 1357-1370 (2019) - [j49]Tong Yang, Jie Jiang, Yang Zhou, Long He, Jinyang Li, Bin Cui, Steve Uhlig, Xiaoming Li:
Fast and accurate stream processing by filtering the cold. VLDB J. 28(5): 735-763 (2019) - [j48]Lun Wang, Tong Yang, Hao Wang, Jie Jiang, Zekun Cai, Bin Cui, Xiaoming Li:
Fine-grained probability counting for cardinality estimation of data streams. World Wide Web 22(5): 2065-2081 (2019) - [c107]Huanran Xue, Jiawei Jiang, Yingxia Shao, Bin Cui:
FeatureBand: A Feature Selection Method by Combining Early Stopping and Genetic Local Search. APWeb/WAIM (2) 2019: 27-41 - [c106]Zhouyi Sun, Siang Gao, Bingqing Liu, Yufei Wang, Tong Yang, Bin Cui:
Magic Cube Bloom Filter: Answering Membership Queries for Multiple Sets. BigComp 2019: 1-8 - [c105]Haobo Sun, Yingxia Shao, Jiawei Jiang, Bin Cui, Kai Lei, Yu Xu, Jiang Wang:
Sparse Gradient Compression for Distributed SGD. DASFAA (2) 2019: 139-155 - [c104]Tong Yang, Dongsheng Yang, Jie Jiang, Siang Gao, Bin Cui, Lei Shi, Xiaoming Li:
Coloring Embedder: A Memory Efficient Data Structure for Answering Multi-set Query. ICDE 2019: 1142-1153 - [c103]Dagang Li, Rong Du, Ziheng Liu, Tong Yang, Bin Cui:
Multi-copy Cuckoo Hashing. ICDE 2019: 1226-1237 - [c102]Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui:
MLlib*: Fast Training of GLMs Using Spark MLlib. ICDE 2019: 1778-1789 - [c101]Long Guo, Lifeng Hua, Rongfei Jia, Binqiang Zhao, Xiaobo Wang, Bin Cui:
Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior. KDD 2019: 1984-1992 - [c100]Zhipeng Zhang, Bin Cui, Yingxia Shao, Lele Yu, Jiawei Jiang, Xupeng Miao:
PS2: Parameter Server on Spark. SIGMOD Conference 2019: 376-388 - [e5]Jie Shao, Man Lung Yiu, Masashi Toyoda, Dongxiang Zhang, Wei Wang, Bin Cui:
Web and Big Data - Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11641, Springer 2019, ISBN 978-3-030-26071-2 [contents] - [e4]Jie Shao, Man Lung Yiu, Masashi Toyoda, Dongxiang Zhang, Wei Wang, Bin Cui:
Web and Big Data - Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11642, Springer 2019, ISBN 978-3-030-26074-3 [contents] - [i4]Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui:
An Experimental Evaluation of Large Scale GBDT Systems. CoRR abs/1907.01882 (2019) - 2018
- [j47]Long Guo, Dongxiang Zhang, Yuan Wang, Huayu Wu, Bin Cui, Kian-Lee Tan:
CO2: Inferring Personal Interests From Raw Footprints by Connecting the Offline World with the Online World. ACM Trans. Inf. Syst. 36(3): 31:1-31:29 (2018) - [c99]Zichen Wang, Tian Li, Yingxia Shao, Bin Cui:
CUTE: Querying Knowledge Graphs by Tabular Examples. APWeb/WAIM (1) 2018: 461-465 - [c98]Yuanxing Zhang, Kaigui Bian, Hu Tuo, Bin Cui, Lingyang Song, Xiaoming Li:
Geo-Edge: Geographical Resource Allocation on Edge Caches for Video-on-Demand Streaming. BigCom 2018: 189-194 - [c97]Junzhi Gong, Deyu Tian, Dongsheng Yang, Tong Yang, Tuo Dai, Bin Cui, Xiaoming Li:
SSS: An Accurate and Fast Algorithm for Finding Top-k Hot Items in Data Streams. BigComp 2018: 106-113 - [c96]Lun Wang, Zekun Cai, Hao Wang, Jie Jiang, Tong Yang, Bin Cui, Xiaoming Li:
Fine-Grained Probability Counting: Refined LogLog Algorithm. BigComp 2018: 176-183 - [c95]Xiangyang Gou, Chenxingyu Zhao, Tong Yang, Lei Zou, Yang Zhou, Yibo Yan, Xiaoming Li, Bin Cui:
Single Hash: Use One Hash Function to Build Faster Hash Based Data Structures. BigComp 2018: 278-285 - [c94]Lele Yu, Lingyu Wang, Yingxia Shao, Long Guo, Bin Cui:
GLM+: An Efficient System for Generalized Linear Models. BigComp 2018: 293-300 - [c93]Long Guo, Dongxiang Zhang, Lei Wang, Han Wang, Bin Cui:
CRAN: A Hybrid CNN-RNN Attention-Based Model for Text Classification. ER 2018: 571-585 - [c92]Yingxia Shao, Kai Lei, Lei Chen, Zi Huang, Bin Cui, Zhongyi Liu, Yunhai Tong, Jin Xu:
Fast Parallel Path Concatenation for Graph Extraction. ICDE 2018: 1753-1754 - [c91]Yang Zhou, Tong Yang, Jie Jiang, Bin Cui, Minlan Yu, Xiaoming Li, Steve Uhlig:
Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing. SIGMOD Conference 2018: 741-756 - [c90]Jiawei Jiang, Fangcheng Fu, Tong Yang, Bin Cui:
SketchML: Accelerating Distributed Machine Learning with Data Sketches. SIGMOD Conference 2018: 1269-1284 - [c89]Jiawei Jiang, Bin Cui, Ce Zhang, Fangcheng Fu:
DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions. SIGMOD Conference 2018: 1363-1376 - [r1]Hongzhi Yin, Bin Cui, Xiaofang Zhou:
Spatiotemporal Recommendation in Geo-Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [j46]Zhipeng Zhang, Yingxia Shao, Bin Cui, Ce Zhang:
An Experimental Evaluation of SimRank-based Similarity Search Algorithms. Proc. VLDB Endow. 10(5): 601-612 (2017) - [j45]Lele Yu, Bin Cui, Ce Zhang, Yingxia Shao:
LDA*: A Robust and Large-scale Topic Modeling System. Proc. VLDB Endow. 10(11): 1406-1417 (2017) - [j44]Xupeng Li, Bin Cui, Yiru Chen, Wentao Wu, Ce Zhang:
MLog: Towards Declarative In-Database Machine Learning. Proc. VLDB Endow. 10(12): 1933-1936 (2017) - [j43]Yingxia Shao, Kai Lei, Lei Chen, Zi Huang, Bin Cui, Zhongyi Liu, Yunhai Tong, Jin Xu:
Fast Parallel Path Concatenation for Graph Extraction. IEEE Trans. Knowl. Data Eng. 29(10): 2210-2222 (2017) - [j42]Xiaogang Shi, Bin Cui, Gillian Dobbie, Beng Chin Ooi:
UniAD: A Unified Ad Hoc Data Processing System. ACM Trans. Database Syst. 42(1): 6:1-6:42 (2017) - [j41]Jiawei Jiang, Yunhai Tong, Hua Lu, Bin Cui, Kai Lei, Lele Yu:
GVoS: A General System for Near-Duplicate Video-Related Applications on Storm. ACM Trans. Inf. Syst. 36(1): 3:1-3:36 (2017) - [c88]Jiawei Jiang, Ming Huang, Jie Jiang, Bin Cui:
TeslaML: Steering Machine Learning Automatically in Tencent. APWeb/WAIM (2) 2017: 313-318 - [c87]Junzhi Gong, Tong Yang, Yang Zhou, Dongsheng Yang, Shigang Chen, Bin Cui, Xiaoming Li:
ABC: A practicable sketch framework for non-uniform multisets. IEEE BigData 2017: 2380-2389 - [c86]Jiawei Jiang, Zhipeng Zhang, Bin Cui, Yunhai Tong, Ning Xu:
StroMAX: Partitioning-Based Scheduler for Real-Time Stream Processing System. DASFAA (2) 2017: 269-288 - [c85]Tong Yang, Lingtong Liu, Yibo Yan, Muhammad Shahzad, Yulong Shen, Xiaoming Li, Bin Cui, Gaogang Xie:
SF-sketch: A Fast, Accurate, and Memory Efficient Data Structure to Store Frequencies of Data Items. ICDE 2017: 103-106 - [c84]Long Guo, Dongxiang Zhang, Huayu Wu, Bin Cui, Kian-Lee Tan:
From Raw Footprints to Personal Interests: Bridging the Semantic Gap via Trip Intention Aggregation. ICDE 2017: 123-126 - [c83]Jie Jiang, Jiawei Jiang, Bin Cui, Ce Zhang:
TencentBoost: A Gradient Boosting Tree System with Parameter Server. ICDE 2017: 281-284 - [c82]Jiawei Jiang, Bin Cui, Ce Zhang, Lele Yu:
Heterogeneity-aware Distributed Parameter Servers. SIGMOD Conference 2017: 463-478 - [i3]Tong Yang, Lingtong Liu, Yibo Yan, Muhammad Shahzad, Yulong Shen, Xiaoming Li, Bin Cui, Gaogang Xie:
SF-sketch: slim-fat-sketch with GPU assistance. CoRR abs/1701.04148 (2017) - 2016
- [b1]Hongzhi Yin, Bin Cui:
Spatio-Temporal Recommendation in Social Media. Springer Briefs in Computer Science, Springer 2016, ISBN 978-981-10-0747-7, pp. 1-114 - [j40]Bin Cui, Jie Jiang, Quanlong Huang, Ying Xu, Yanjun Gui, Wenyu Zhang:
POS: A High-Level System to Simplify Real-Time Stream Application Development on Storm. Data Sci. Eng. 1(1): 41-50 (2016) - [j39]Hongzhi Yin, Xiaofang Zhou, Bin Cui, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung:
Adapting to User Interest Drift for POI Recommendation. IEEE Trans. Knowl. Data Eng. 28(10): 2566-2581 (2016) - [j38]Hongzhi Yin, Bin Cui, Xiaofang Zhou, Weiqing Wang, Zi Huang, Shazia W. Sadiq:
Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation. ACM Trans. Inf. Syst. 35(2): 11:1-11:44 (2016) - [j37]Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, Quanqing Xu:
Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion. World Wide Web 19(6): 1203-1230 (2016) - [c81]Yao Liu, Zhenhua Duan, Cong Tian, Bin Cui:
Satisfiability of Linear Time Mu-Calculus on Finite Traces. COCOON 2016: 611-622 - [c80]