Bin Cui 0001 - researchr alias

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2024

2023

MicroscopeSketch: Accurate Sliding Estimation Using Adaptive ZoomingYuhan Wu 0001, Shiqi Jiang, Siyuan Dong, Zheng Zhong, Jiale Chen, Yutong Hu, Tong Yang 0003, Steve Uhlig, Bin Cui 0001. kdd 2023: 2660-2671 [doi]

KVSAgg: Secure Aggregation of Distributed Key-Value SetsYuhan Wu 0001, Siyuan Dong, Yi Zhou, Yikai Zhao, Fangcheng Fu, Tong Yang 0003, Chaoyue Niu, Fan Wu, Bin Cui 0001. icde 2023: 1775-1789 [doi]

Experimental Analysis of Large-scale Learnable Vector Storage CompressionHailin Zhang 0004, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang 0003, Bin Cui 0001. pvldb, 17(4):808-822, December 2023. [doi]

Improving Diffusion-Based Image Synthesis with Context PredictionLing Yang 0006, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui 0001. nips 2023: [doi]

VolcanoML: speeding up end-to-end AutoML via scalable search space decompositionYang Li 0106, Yu Shen, Wentao Zhang, Ce Zhang 0001, Bin Cui 0001. vldb, 32(2):389-413, March 2023. [doi]

Towards General and Efficient Online Tuning for SparkYang Li 0106, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang 0001, Peng Chen, Bin Cui 0001. pvldb, 16(12):3570-3583, 2023. [doi]

+: lightweight interactive community search via graph neural networkJiazun Chen, Jun Gao 0003, Bin Cui 0001. vldb, 32(2):447-467, March 2023. [doi]

OneSketch: A Generic and Accurate Sketch for Data StreamsZhuochen Fan, Ruixin Wang, Yalun Cai, Ruwen Zhang, Tong Yang 0003, Yuhan Wu 0001, Bin Cui 0001, Steve Uhlig. tkde, 35(12):12887-12901, December 2023. [doi]

Finding Simplex Items in Data StreamsZhuochen Fan, Jiarui Guo, Xiaodong Li, Tong Yang 0003, Yikai Zhao, Yuhan Wu 0001, Bin Cui 0001, Yanwei Xu, Steve Uhlig, Gong Zhang. icde 2023: 1953-1966 [doi]

HoppingSketch: More Accurate Temporal Membership Query and Frequency QueryZhuochen Fan, Yubo Zhang, Siyuan Dong, Yi Zhou, Fangyi Liu, Tong Yang, Steve Uhlig, Bin Cui 0001. tkde, 35(9):9067-9072, September 2023. [doi]

On the Evolutionary of Bloom Filter False Positives - An Information Theoretical Approach to Optimizing Bloom Filter ParametersZhuochen Fan, Gang Wen, Zhipeng Huang, Yang Zhou 0008, Qiaobin Fu, Tong Yang 0003, Alex X. Liu, Bin Cui 0001. tkde, 35(7):7316-7327, July 2023. [doi]

A Sketch Framework for Approximate Data Stream Processing in Sliding WindowsXiangyang Gou, Yinda Zhang 0002, Zhoujing Hu, Long He, Ke Wang, Xilai Liu, Tong Yang 0003, Yi Wang 0004, Bin Cui 0001. tkde, 35(5):4411-4424, May 2023. [doi]

SketchPolymer: Estimate Per-item Tail Quantile Using One SketchJiarui Guo, Yisen Hong, Yuhan Wu 0001, Yunfei Liu, Tong Yang 0003, Bin Cui 0001. kdd 2023: 590-601 [doi]

CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free AttentionZiyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He 0001, Bin Cui 0001. AAAI 2023: 746-754 [doi]

DBPA: A Benchmark for Transactional Database Performance AnomaliesShiyue Huang, Ziwei Wang, Xinyi Zhang, Yaofeng Tu, Zhongliang Li, Bin Cui 0001. pacmmod, 1(1), 2023. [doi]

Survey on performance optimization for database systemsShiyue Huang, Yanzhao Qin, Xinyi Zhang, Yaofeng Tu, Zhongliang Li, Bin Cui 0001. chinaf, 66(2), February 2023. [doi]

OSDP: Optimal Sharded Data Parallel for Distributed Deep LearningYouhe Jiang, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Bin Cui 0001. IJCAI 2023: 2142-2150 [doi]

Towards Designing and Learning Piecewise Space-Filling CurvesJiangneng Li, Zheng Wang 0046, Gao Cong, Cheng Long, Han Mao Kiah, Bin Cui 0001. pvldb, 16(9):2158-2171, 2023. [doi]

SteadySketch: Finding Steady Flows in Data StreamsXiaodong Li, Zhuochen Fan, Haoyu Li, Zheng Zhong, Jiarui Guo, Sheng Long, Tong Yang 0003, Bin Cui 0001. iwqos 2023: 1-9 [doi]

ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing SystemsJinqing Lian, Xinyi Zhang, Yingxia Shao, Zenglin Pu, Qingfeng Xiang, Yawen Li, Bin Cui 0001. pvldb, 16(13):4282-4295, 2023. [doi]

DRGI: Deep Relational Graph Infomax for Knowledge Graph CompletionShuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui 0001. tkde, 35(3):2486-2499, March 2023. [doi]

Graph-Based Non-Sampling for Knowledge Graph Enhanced RecommendationShuang Liang, Jie Shao 0001, Jiasheng Zhang, Bin Cui 0001. tkde, 35(9):9462-9475, September 2023. [doi]

HyperCalm Sketch: One-Pass Mining Periodic Batches in Data StreamsZirui Liu, Chaozhe Kong, Kaicheng Yang, Tong Yang 0003, Ruijie Miao, Qizhi Chen, Yikai Zhao, Yaofeng Tu, Bin Cui 0001. icde 2023: 14-26 [doi]

TreeSensing: Linearly Compressing Sketches with FlexibilityZirui Liu, Yixin Zhang, Yifan Zhu, Ruwen Zhang, Tong Yang 0003, Kun Xie, Sha Wang, Tao Li, Bin Cui 0001. pacmmod, 1(1), 2023. [doi]

SketchConf: A Framework for Automatic Sketch ConfigurationRuijie Miao, Fenghao Dong, Yikai Zhao, Yiming Zhao, Yuhan Wu 0001, Kaicheng Yang, Tong Yang 0003, Bin Cui 0001. icde 2023: 2022-2035 [doi]

Hyper-USS: Answering Subset Query Over Multi-Attribute Data StreamRuijie Miao, Yiyao Zhang, Guanyu Qu, Kaicheng Yang, Tong Yang 0003, Bin Cui 0001. kdd 2023: 1698-1709 [doi]

BurstSketch: Finding Bursts in Data StreamsRuijie Miao, Zheng Zhong, Jiarui Guo, Zikun Li, Tong Yang 0003, Bin Cui 0001. tkde, 35(11):11126-11140, November 2023. [doi]

SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel TrainingXupeng Miao, Yining Shi 0001, Zhi Yang 0001, Bin Cui 0001, Zhihao Jia. pvldb, 16(9):2354-2363, 2023. [doi]

2CG: a privacy preserving collaborative graph neural network training frameworkXupeng Miao, Wentao Zhang, Yuezihan Jiang, Fangcheng Fu, Yingxia Shao, Lei Chen 0002, Yangyu Tao, Gang Cao, Bin Cui 0001. vldb, 32(4):717-736, July 2023. [doi]

Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep ArchitectureXupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui 0001, Lei Chen 0002, Ce Zhang 0001, Jiawei Jiang. tkde, 35(2):1721-1733, 2023. [doi]

Hetu: a highly efficient automatic parallel distributed deep learning systemXupeng Miao, Xiaonan Nie, Hailin Zhang, Tong Zhao, Bin Cui 0001. chinaf, 66(1), January 2023. [doi]

FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device PlacementXiaonan Nie, Xupeng Miao, Zilong Wang, Zichao Yang, Jilong Xue, Lingxiao Ma, Gang Cao, Bin Cui 0001. pacmmod, 1(1), 2023. [doi]

Angel-PTM: A Scalable and Economical Large-scale Pre-training System in TencentXiaonan Nie, Yi Liu, Fangcheng Fu, Jinbao Xue, Dian Jiao, Xupeng Miao, Yangyu Tao, Bin Cui 0001. pvldb, 16(12):3781-3794, 2023. [doi]

Rover: An Online Spark SQL Tuning Service via Generalized Transfer LearningYu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li 0106, Wentao Zhang, Bin Cui 0001. kdd 2023: 4800-4812 [doi]

ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost ProxiesYu Shen, Yang Li 0106, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang 0004, Ji Liu 0002, Bin Cui 0001. AAAI 2023: 9792-9801 [doi]

JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product EstimationFeiyu Wang, Qizhi Chen, Yuanpeng Li, Tong Yang, Yaofeng Tu, Lian Yu, Bin Cui 0001. pacmmod, 1(1), 2023. [doi]

REncoder: A Space-Time Efficient Range Filter with Local EncoderZiwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu 0001, Haoyu Li, Tong Yang 0003, Yaofeng Tu, Huanchen Zhang, Bin Cui 0001. icde 2023: 2036-2049 [doi]

Scapin: Scalable Graph Structure Perturbation by Augmented Influence MaximizationYexin Wang, Zhi Yang 0001, Junqi Liu, Wentao Zhang, Bin Cui 0001. pacmmod, 1(2), 2023. [doi]

Graph Neural Networks in Recommender Systems: A SurveyShiwen Wu, Fei Sun 0001, Wentao Zhang, Xu Xie, Bin Cui 0001. ACM Comput. Surv., 55(5), 2023. [doi]

Hierarchical Interest Modeling of Long-tailed Users for Click-Through Rate PredictionXu Xie, Jin Niu, Lifang Deng, Dan Wang, Jiandong zhang, Zhihua Wu, Kaigui Bian, Gang Cao, Bin Cui 0001. icde 2023: 3058-3071 [doi]

Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active LearningTianmeng Yang, Min Zhou 0006, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui 0001, Yunhai Tong. CIKM 2023: 4380-4384 [doi]

StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming ScenariosJiasheng Zhang, Jie Shao, Bin Cui 0001. sigir 2023: 622-631 [doi]

An Efficient Transfer Learning Based Configuration Adviser for Database TuningXinyi Zhang, Hong Wu, Yang Li 0106, Zhengju Tang, Jian Tan, Feifei Li 0001, Bin Cui 0001. pvldb, 17(3):539-552, November 2023. [doi]

A Unified and Efficient Coordinating Framework for Autonomous DBMS TuningXinyi Zhang, Zhuo Chang, Hong Wu, Yang Li, Jia Chen, Jian Tan, Feifei Li, Bin Cui 0001. pacmmod, 1(2), 2023. [doi]

Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent ItemsYikai Zhao, Wenchen Han, Zheng Zhong, Yinda Zhang 0002, Tong Yang 0003, Bin Cui 0001. pacmmod, 1(1), 2023. [doi]

AutoML for Deep Recommender Systems: A SurveyRuiqi Zheng, Liang Qu, Bin Cui 0001, Yuhui Shi, Hongzhi Yin. tois, 41(4), October 2023. [doi]

2022

AutoDC: an automatic machine learning framework for disease classificationYang Bai, Yang Li, Yu Shen, Mingyu Yang, Wentao Zhang, Bin Cui 0001. bioinformatics, 38(13):3415-3421, 2022. [doi]

LTC: A Fast Algorithm to Accurately Find Significant Items in Data StreamsShiyu Cheng, Dongsheng Yang, Tong Yang 0003, Haowei Zhang, Bin Cui 0001. tkde, 34(9):4342-4356, 2022. [doi]

HET-KG: Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware CacheSicong Dong, Xupeng Miao, Pengkai Liu, Xin Wang, Bin Cui 0001, Jianxin Li. icde 2022: 1754-1766 [doi]

PeriodicSketch: Finding Periodic Items in Data StreamsZhuochen Fan, Yinda Zhang 0002, Tong Yang 0003, Mingyi Yan, Gang Wen, Yuhan Wu, Hongze Li, Bin Cui 0001. icde 2022: 96-109 [doi]

BlindFL: Vertical Federated Machine Learning without Peeking into Your DataFangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, Bin Cui 0001. SIGMOD 2022: 1316-1330 [doi]

Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local UpdateFangcheng Fu, Xupeng Miao, Jiawei Jiang, Huanran Xue, Bin Cui 0001. pvldb, 15(10):2111-2120, 2022. [doi]

K-core decomposition on super large graphs with limited resourcesShicheng Gao, Jie Xu 0007, Xiaosen Li, Fangcheng Fu, Wentao Zhang, Wen Ouyang, Yangyu Tao, Bin Cui 0001. SAC 2022: 413-422 [doi]

UDM: A Unified Deep Matching Framework in Recommender SystemsLong Guo, Fei Fang, Binqiang Zhao, Bin Cui 0001. CIKM 2022: 3122-3130 [doi]

Distributed Machine Learning and Gradient OptimizationJiawei Jiang, Bin Cui 0001, Ce Zhang 0001. Springer, 2022. [doi]

Analyzing Online Transaction Networks with Network MotifsJiawei Jiang, Yusong Hu, Xiaosen Li, Wen Ouyang, Zhitao Wang, Fangcheng Fu, Bin Cui 0001. kdd 2022: 3098-3106 [doi]

Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of InterestYuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang 0001, Bin Cui 0001. icde 2022: 2224-2236 [doi]

Coloring Embedder: Towards Multi-Set Membership Queries in Web Cache SharingZhaodong Kang, Jin Xu, Wenqi Wang, Jie Jiang, Shiqi Jiang, Tong Yang 0003, Bin Cui 0001, Tilman Wolf. tkde, 34(12):5664-5680, 2022. [doi]

TransBO: Hyperparameter Optimization via Two-Phase Transfer LearningYang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang 0001, Ce Zhang 0001, Bin Cui 0001. kdd 2022: 956-966 [doi]

Hyper-Tune: Towards Efficient Hyper-parameter Tuning at ScaleYang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang 0001, Bin Cui 0001. pvldb, 15(6):1256-1265, 2022. [doi]

An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large GraphsHongzheng Li, Yingxia Shao, Junping Du, Bin Cui 0001, Lei Chen 0002. pvldb, 15(8):1619-1631, 2022. [doi]

DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion: (Extended Abstract)Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui 0001. icde 2022: 1499-1500 [doi]

BurstBalancer: Do Less, Better Balance for Large-scale Data Center TrafficZirui Liu, Yikai Zhao, Zhuochen Fan, Tong Yang, Xiaodong Li, Ruwen Zhang, Kaicheng Yang, Zheng Zhong, Yi Huang, Cong Liu, Jing Hu, Gaogang Xie, Bin Cui 0001. icnp 2022: 1-13 [doi]

Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract)Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui 0001, Lei Chen 0002, Ce Zhang 0001, Jiawei Jiang. icde 2022: 1561-1562 [doi]

CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUsXupeng Miao, Lingxiao Ma, Zhi Yang 0001, Yingxia Shao, Bin Cui 0001, Lele Yu, Jiawei Jiang. tkde, 34(9):4119-4132, 2022. [doi]

HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model TrainingXupeng Miao, Yining Shi, Hailin Zhang, Xin Zhang, Xiaonan Nie, Zhi Yang, Bin Cui 0001. SIGMOD 2022: 470-480 [doi]

Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic ParallelismXupeng Miao, Yujie Wang, Youhe Jiang, Chunan Shi, Xiaonan Nie, Hailin Zhang, Bin Cui 0001. pvldb, 16(3):470-479, 2022. [doi]

TSPLIT: Fine-grained GPU Memory Management for Efficient DNN Training via Tensor SplittingXiaonan Nie, Xupeng Miao, Zhi Yang 0001, Bin Cui 0001. icde 2022: 2615-2628 [doi]

DivBO: Diversity-aware CASH for Ensemble LearningYu Shen, Yupeng Lu, Yang Li 0106, Yaofeng Tu, Wentao Zhang, Bin Cui 0001. nips 2022: [doi]

Hunting Temporal Bumps in Graphs with Dynamic Vertex PropertiesYahui Sun, Shuai Ma, Bin Cui 0001. SIGMOD 2022: 874-888 [doi]

Elastic Bloom Filter: Deletable and Expandable Filter Using Elastic FingerprintsYuhan Wu, Jintao He, Shen Yan, Jianyu Wu, Tong Yang 0003, Olivier Ruas, Gong Zhang, Bin Cui 0001. TC, 71(4):984-991, 2022. [doi]

LECF: recommendation via learnable edge collaborative filteringShitao Xiao, Yingxia Shao, Yawen Li, Hongzhi Yin, Yanyan Shen, Bin Cui 0001. chinaf, 65(1), 2022. [doi]

Contrastive Learning for Sequential RecommendationXu Xie, Fei Sun 0001, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong zhang, Bolin Ding, Bin Cui 0001. icde 2022: 1259-1273 [doi]

Scalable Graph Sampling on GPUs with Compressed GraphHongbo Yin, Yingxia Shao, Xupeng Miao, Yawen Li, Bin Cui 0001. CIKM 2022: 2383-2392 [doi]

Towards Dynamic and Safe Configuration Tuning for Cloud DatabasesXinyi Zhang, Hong Wu, Yang Li 0106, Jian Tan, Feifei Li 0001, Bin Cui 0001. SIGMOD 2022: 631-645 [doi]

Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental EvaluationXinyi Zhang, Zhuo Chang, Yang Li 0106, Hong Wu, Jian Tan, Feifei Li 0001, Bin Cui 0001. pvldb, 15(9):1808-1821, 2022. [doi]

Graph Attention Multi-Layer PerceptronWentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li 0106, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang 0001, Bin Cui 0001. kdd 2022: 4560-4570 [doi]

Model Degradation Hinders Deep Graph Neural NetworksWentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui 0001. kdd 2022: 2493-2503 [doi]

Deep and Flexible Graph Neural Architecture SearchWentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang 0001, Bin Cui 0001. icml 2022: 26362-26374 [doi]

NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation LearningWentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui 0001. icml 2022: 26467-26483 [doi]

PaSca: A Graph Neural Architecture Search System under the Scalable ParadigmWentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang 0001, Bin Cui 0001. WWW 2022: 1817-1828 [doi]

Information Gain Propagation: a New Way to Graph Active Learning with Soft LabelsWentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang 0001, Bin Cui 0001. iclr 2022: [doi]

PointCLIP: Point Cloud Understanding by CLIPRenrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui 0001, Yu Qiao, Peng Gao, Hongsheng Li 0001. cvpr 2022: 8542-8552 [doi]

The Stair Sketch: Bringing more Clarity to Memorize Recent EventsYikai Zhao, Yubo Zhang, Pu Yi, Tong Yang 0003, Bin Cui 0001, Steve Uhlig. icde 2022: 164-177 [doi]

MinMax Sampling: A Near-optimal Global Summary for Aggregation in the Wide AreaYikai Zhao, Yinda Zhang 0002, Yuanpeng Li, Yi Zhou, Chunhui Chen 0007, Tong Yang 0003, Bin Cui 0001. SIGMOD 2022: 744-758 [doi]

2021

2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise LearningFangcheng Fu, Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui 0001. SIGMOD 2021: 563-576 [doi]

Model averaging in distributed machine learning: a case study with Apache SparkYunyan Guo, Zhipeng Zhang, Jiawei Jiang, Wentao Wu 0001, Ce Zhang 0001, Bin Cui 0001, Jianzhong Li. vldb, 30(4):693-712, 2021. [doi]

Cardinality Estimation in DBMS: A Comprehensive Benchmark EvaluationYuxing 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 0001. pvldb, 15(4):752-765, 2021. [doi]

Finding Group Steiner Trees in Graphs with both Vertex and Edge WeightsYahui Sun, Xiaokui Xiao, Bin Cui 0001, Saman K. Halgamuge, Theodoros Lappas, Jun Luo 0001. pvldb, 14(7):1137-1149, 2021. [doi]

Challenges and Opportunities of Building Fast GBDT SystemsZeyi Wen, Qinbin Li, Bingsheng He, Bin Cui 0001. IJCAI 2021: 4661-4668 [doi]

Enhanced review-based rating prediction by exploiting aside information and user influenceShiwen Wu, Yuanxing Zhang, Wentao Zhang, Kaigui Bian, Bin Cui 0001. kbs, 222:107015, 2021. [doi]

iMap: Incremental Node Mapping between Large Graphs Using GNNYikuan Xia, Jun Gao, Bin Cui 0001. CIKM 2021: 2191-2200 [doi]

UniNet: Scalable Network Representation Learning with Metropolis-Hastings SamplingXingyu Yao, Yingxia Shao, Bin Cui 0001, Lei Chen 0002. icde 2021: 516-527 [doi]

BurstSketch: Finding Bursts in Data StreamsZheng Zhong, Shen Yan, Zikun Li, Decheng Tan, Tong Yang 0003, Bin Cui 0001. SIGMOD 2021: 2375-2383 [doi]

FLAT: Fast, Lightweight and Accurate Method for Cardinality EstimationRong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui 0001. pvldb, 14(9):1489-1502, 2021. [doi]

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