Bin Cui 0001 - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 100 from 206

2024

Welcome to a New Era of the Data Science and Engineering Journal (DSE)Bin Cui 0001. dase, 9(1):1-2, March 2024. [doi]

Online Detection of Outstanding Quantiles with QuantileFilterYuhan Wu 0001, Aomufei Yuan, Zhouran Shi, Yuanpeng Li, Yikai Zhao, Peiqing Chen, Tong Yang 0003, Bin Cui 0001. icde 2024: 831-844 [doi]

VisionEmbedder: Bit-Level-Compact Key-Value Storage with Constant Lookup, Rapid Updates, and Rare FailureYuhan Wu 0001, Feiyu Wang, Yifan Zhu, Zhuochen Fan, Zhiting Xiong, Tong Yang 0003, Bin Cui 0001. icde 2024: 4248-4261 [doi]

Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning AttacksZongwei Wang 0002, Junliang Yu, Min Gao 0001, Hongzhi Yin, Bin Cui 0001, Shazia W. Sadiq. kdd 2024: 3311-3322 [doi]

CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation ModelsHailin Zhang 0004, Zirui Liu, Boxuan Chen, Yikai Zhao, Tong Zhao, Tong Yang 0003, Bin Cui 0001. pacmmod, 2(1), February 2024. [doi]

Structure-Guided Adversarial Training of Diffusion ModelsLing Yang 0006, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui 0001. cvpr 2024: 7256-7266 [doi]

Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMsLing Yang 0006, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui 0001. icml 2024: [doi]

Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and EditingLing Yang 0006, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui 0001. iclr 2024: [doi]

Graphusion: Latent Diffusion for Graph GenerationLing Yang 0006, Zhilin Huang, Zhilong Zhang, Zhongyi Liu, Shenda Hong, Wentao Zhang, Wenming Yang, Bin Cui 0001, Luxia Zhang. tkde, 36(11):6358-6369, November 2024. [doi]

Diffusion Models: A Comprehensive Survey of Methods and ApplicationsLing Yang 0006, Zhilong Zhang, Yang Song 0011, Shenda Hong, Runsheng Xu, Yue Zhao 0016, Wentao Zhang, Bin Cui 0001, Ming-Hsuan Yang 0001. ACM Comput. Surv., 56(4), April 2024. [doi]

Individual and Structural Graph Information Bottlenecks for Out-of-Distribution GeneralizationLing Yang 0006, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui 0001. tkde, 36(2):682-693, February 2024. [doi]

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPsLing Yang 0006, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui 0001, Muhan Zhang, Jure Leskovec. iclr 2024: [doi]

MFIX: An Efficient and Reliable Index Advisor via Multi-Fidelity Bayesian OptimizationZhuo Chang, Xinyi Zhang, Yang Li, Xupeng Miao, Yanzhao Qin, Bin Cui 0001. icde 2024: 4343-4356 [doi]

CodingSketch: A Hierarchical Sketch with Efficient Encoding and Recursive DecodingQizhi Chen, Yisen Hong, Yuhan Wu 0001, Tong Yang 0003, Bin Cui 0001. icde 2024: 1592-1605 [doi]

Newton Sketches: Estimating Node Intimacy in Dynamic Graphs Using Newton's Law of CoolingQizhi Chen, Ke Wang, Aoran Li, Yuhan Wu 0001, Tong Yang 0003, Bin Cui 0001. icde 2024: 2904-2916 [doi]

Enabling space-time efficient range queries with REncoderZhuochen Fan, Bowen Ye, Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu 0001, Haoyu Li, Tong Yang 0003, Yaofeng Tu, Zirui Liu 0002, Bin Cui 0001. vldb, 33(6):1837-1859, November 2024. [doi]

Accelerating Scalable Graph Neural Network Inference with Node-Adaptive PropagationXinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui 0001, Hongzhi Yin. icde 2024: 3042-3055 [doi]

Enabling Parallelism Hot Switching for Efficient Training of Large Language ModelsHao Ge, Fangcheng Fu, Haoyang Li, Xuanyu Wang, Sheng Lin, Yujie Wang, Xiaonan Nie, Hailin Zhang 0004, Xupeng Miao, Bin Cui 0001. sosp 2024: 178-194 [doi]

Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion ModelsZhilin Huang, Ling Yang 0006, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui 0001, Wenming Yang. iclr 2024: [doi]

OpenBox: A Python Toolkit for Generalized Black-box OptimizationHuaijun Jiang, Yu Shen 0003, Yang Li 0106, Beicheng Xu, Sixian Du, Wentao Zhang, Ce Zhang 0001, Bin Cui 0001. jmlr, 25, 2024. [doi]

HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy MechanismYuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui 0001. icde 2024: 2779-2791 [doi]

WavingSketch: an unbiased and generic sketch for finding top-k items in data streamsZirui Liu, Fenghao Dong, Chengwu Liu, Xiangwei Deng, Tong Yang 0003, Yikai Zhao, Jizhou Li, Bin Cui 0001, Gong Zhang 0001. vldb, 33(5):1697-1722, September 2024. [doi]

BurstBalancer: Do Less, Better Balance for Large-Scale Data Center TrafficZirui Liu, Yikai Zhao, Zhuochen Fan, Tong Yang 0003, Xiaodong Li, Ruwen Zhang, Kaicheng Yang, Zihan Jiang, Zheng Zhong, Yi Huang, Cong Liu, Jing Hu, Gaogang Xie, Bin Cui 0001. tpds, 35(6):777-794, June 2024. [doi]

A Unified Framework for Mining Batch and Periodic Batch in Data StreamsZirui Liu, Xiangyuan Wang, Yuhan Wu 0001, Tong Yang 0003, Kaicheng Yang, Hailin Zhang 0004, Yaofeng Tu, Bin Cui 0001. tkde, 36(11):5544-5561, November 2024. [doi]

BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly DetectionJie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui 0001, Hongzhi Yin. icde 2024: 2820-2833 [doi]

X-former Elucidator: Reviving Efficient Attention for Long Context Language ModelingXupeng Miao, Shenhan Zhu, Fangcheng Fu, Ziyu Guo, Zhi Yang 0001, Yaofeng Tu, Zhihao Jia, Bin Cui 0001. IJCAI 2024: 8179-8187 [doi]

Demystifying Data Management for Large Language ModelsXupeng Miao, Zhihao Jia, Bin Cui 0001. SIGMOD 2024: 547-555 [doi]

SpotServe: Serving Generative Large Language Models on Preemptible InstancesXupeng Miao, Chunan Shi, Jiangfei Duan, Xiaoli Xi, Dahua Lin, Bin Cui 0001, Zhihao Jia. asplos 2024: 1112-1127 [doi]

Distributed Graph Neural Network Training: A SurveyYingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui 0001, Lei Chen 0002. ACM Comput. Surv., 56(8), August 2024. [doi]

OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single MachineZeang Sheng, Wentao Zhang, Yangyu Tao, Bin Cui 0001. pvldb, 17(11):2960-2973, July 2024. [doi]

Mitigating Negative Transfer in Cross-Domain Recommendation via Knowledge Transferability EnhancementZijian Song, Wenhan Zhang 0004, Lifang Deng, Jiandong zhang, Zhihua Wu, Kaigui Bian, Bin Cui 0001. kdd 2024: 2745-2754 [doi]

MultiLoRA: Multi-Directional Low Rank Adaptation for Multi-Domain RecommendationZijian Song, Wenhan Zhang 0004, Lifang Deng, Jiandong zhang, Kaigui Bian, Bin Cui 0001. CIKM 2024: 2148-2157 [doi]

Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain AdaptationYuhao Tang, Junyu Luo, Ling Yang, Xiao Luo, Wentao Zhang, Bin Cui 0001. icde 2024: 2598-2611 [doi]

Scalable Overspeed Item Detection in StreamsYuhan Wu, Hanbo Wu, Chengjun Jia, Bo Peng, Ziyun Zhang, Tong Yang, Peiqing Chen, Kaicheng Yang, Bin Cui 0001. icde 2024: 1157-1170 [doi]

On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation ParadigmHongzhi Yin, Tong Chen, Liang Qu, Bin Cui 0001. WWW 2024: 1280-1283 [doi]

Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion InferenceZihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui 0001. AAAI 2024: 16605-16613 [doi]

NPA: Improving Large-scale Graph Neural Networks with Non-parametric AttentionWentao Zhang, Guochen Yan, Yu Shen, Yang Ling, Yangyu Tao, Bin Cui 0001, Jian Tang. SIGMOD 2024: 414-427 [doi]

BIM: Improving Graph Neural Networks with Balanced Influence MaximizationWentao Zhang, Xinyi Gao, Ling Yang 0006, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui 0001. icde 2024: 2931-2944 [doi]

NC-ALG: Graph-Based Active Learning Under Noisy CrowdWentao Zhang, Yexin Wang, Zhenbang You, Yang Li, Gang Cao, Zhi Yang 0001, Bin Cui 0001. icde 2024: 2681-2694 [doi]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

Graph-Enforced Neural Network for Attributed Graph ClusteringZeang Sheng, Wentao Zhang, Wen Ouyang, Yangyu Tao, Zhi Yang 0001, Bin Cui 0001. apweb 2024: 111-126 [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]

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]

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

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]

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]

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]

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]

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]

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

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

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]

See Also

All Publications

Filter by Year
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1

Researchr

Publications by 'Bin Cui 0001'

Viewing Publication 1 - 100 from 206

2024

2023

2022

See Also

All Publications

Filter by YearOR AND NOT 1

Filter by TypeOR AND NOT 1

Filter by Tag

Filter by Venue [+]OR AND NOT 1

Filter by Author [+]OR AND NOT 1

Filter by Top Terms [+]OR AND NOT 1

Researchr

Publications by 'Bin Cui 0001'

Viewing Publication 1 - 100 from 206

2024

2023

2022

Filter by Year
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1