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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://dblp1.uni-trier.de/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
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2020 – today
- 2021
[j66]Jie Gu, Bin Cui, Shan Lu:
A classification framework for multivariate compositional data with Dirichlet feature embedding. Knowl. Based Syst. 212: 106614 (2021)- [j65]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) - [j64]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) - [j63]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) - [j62]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) - [j61]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) - [c129]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 - [c128]Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen:
UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling. ICDE 2021: 516-527 - [c127]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 - [c126]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 - [c125]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 - [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 - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]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) - 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] - [i12]Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen:
UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling. CoRR abs/2010.04895 (2020) - [i11]Xu Xie, Fei Sun, Zhaoyang Liu, Jinyang Gao, Bolin Ding, Bin Cui:
Contrastive Pre-training for Sequential Recommendation. CoRR abs/2010.14395 (2020) - [i10]Shiwen Wu, Wentao Zhang, Fei Sun, Bin Cui:
Graph Neural Networks in Recommender Systems: A Survey. CoRR abs/2011.02260 (2020) - [i9]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) - [i8]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) - [i7]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) - [i6]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] - [i5]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 - [i4]Yang Li, Jiawei Jiang, Yingxia Shao, Bin Cui:
Fast Hyperparameter Optimization of Deep Neural Networks via Ensembling Multiple Surrogates. CoRR abs/1811.02319 (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]Geng Su, Bin Cui, Xiaochen Wang:
Cross-layer approach to joint transmitter selection for cooperative transmission. ISCIT 2016: 426-430 - [c79]Yanxiang Huang, Bin Cui, Jie Jiang, Kunqian Hong, Wenyu Zhang, Yiran Xie:
Real-time Video Recommendation Exploration. SIGMOD Conference 2016: 35-46 - [c78]Xiaogang Shi, Bin Cui, Yingxia Shao, Yunhai Tong:
Tornado: A System For Real-Time Iterative Analysis Over Evolving Data. SIGMOD Conference 2016: 417-430 - [c77]Hongzhi Yin, Bin Cui, Hua Lu, Lei Zhao:
Expert team finding for review assignment. TAAI 2016 - [e3]Bin Cui, Nan Zhang, Jianliang Xu, Xiang Lian, Dexi Liu:
Web-Age Information Management - 17th International Conference, WAIM 2016, Nanchang, China, June 3-5, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9658, Springer 2016, ISBN 978-3-319-39936-2 [contents] - [e2]Bin Cui, Nan Zhang, Jianliang Xu, Xiang Lian, Dexi Liu:
Web-Age Information Management - 17th International Conference, WAIM 2016, Nanchang, China, June 3-5, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9659, Springer 2016, ISBN 978-3-319-39957-7 [contents] - 2015
- [j36]Yingxia Shao, Bin Cui, Lei Chen, Mingming Liu, Xing Xie:
An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs. Proc. VLDB Endow. 8(8): 838-849 (2015) - [j35]Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Chengqi Zhang:
Modeling Location-Based User Rating Profiles for Personalized Recommendation. ACM Trans. Knowl. Discov. Data 9(3): 19:1-19:41 (2015) - [j34]Yingxia Shao, Bin Cui, Lin Ma:
PAGE: A Partition Aware Engine for Parallel Graph Computation. IEEE Trans. Knowl. Data Eng. 27(2): 518-530 (2015) - [j33]Ning Xu, Bin Cui, Lei Chen, Zi Huang, Yingxia Shao:
Heterogeneous Environment Aware Streaming Graph Partitioning. IEEE Trans. Knowl. Data Eng. 27(6): 1560-1572 (2015) - [j32]Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Xiaofang Zhou:
Dynamic User Modeling in Social Media Systems. ACM Trans. Inf. Syst. 33(3): 10:1-10:44 (2015) - [j31]Yanxiang Huang, Lele Yu, Xiang Wang, Bin Cui:
A multi-source integration framework for user occupation inference in social media systems. World Wide Web 18(5): 1247-1267 (2015) - [c76]Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, Quanqing Xu:
Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion. ICDE Workshops 2015: 174-181 - [c75]Jinling Jiang, Hua Lu, Bin Yang, Bin Cui:
Finding top-k local users in geo-tagged social media data. ICDE 2015: 267-278 - [c74]Xiaohua Jiang, Jin Xu, Bin Cui, Yingyu Zeng, Zhongxi Li:
Evaluations and measurements of a high frequency nanocrystalline core transformer for power converters. IECON 2015: 3660-3663 - [c73]