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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 — Nanjing University, School of Geography and Ocean Science, China (and 3 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
- 2023
[j85]Shiwen Wu, Fei Sun, Wentao Zhang, Xu Xie, Bin Cui:
Graph Neural Networks in Recommender Systems: A Survey. ACM Comput. Surv. 55(5): 97:1-97:37 (2023)- [j84]Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang:
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture. IEEE Trans. Knowl. Data Eng. 35(2): 1721-1733 (2023) - 2022
- [b3]Jiawei Jiang, Bin Cui, Ce Zhang:
Distributed Machine Learning and Gradient Optimization. Springer 2022, ISBN 978-981-16-3419-2, pp. 1-169 - [j83]Yang Bai, Yang Li, Yu Shen, Mingyu Yang, Wentao Zhang, Bin Cui:
AutoDC: an automatic machine learning framework for disease classification. Bioinform. 38(13): 3415-3421 (2022) - [j82]Shitao Xiao, Yingxia Shao, Yawen Li, Hongzhi Yin, Yanyan Shen, Bin Cui:
LECF: recommendation via learnable edge collaborative filtering. Sci. China Inf. Sci. 65(1) (2022) - [j81]Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui:
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. Proc. VLDB Endow. 15(6): 1256-1265 (2022) - [j80]Haoyu Li, Qizhi Chen, Yixin Zhang, Tong Yang, Bin Cui:
Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation. Proc. VLDB Endow. 15(7): 1426-1438 (2022) - [j79]Hongzheng Li, Yingxia Shao, Junping Du, Bin Cui, Lei Chen:
An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs. Proc. VLDB Endow. 15(8): 1619-1631 (2022) - [j78]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. Proc. VLDB Endow. 15(9): 1808-1821 (2022) - [j77]Fangcheng Fu, Xupeng Miao, Jiawei Jiang, Huanran Xue, Bin Cui:
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Update. Proc. VLDB Endow. 15(10): 2111-2120 (2022) - [j76]Xupeng Miao, Yujie Wang, Youhe Jiang, Chunan Shi, Xiaonan Nie, Hailin Zhang, Bin Cui:
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism. Proc. VLDB Endow. 16(3): 470-479 (2022) - [j75]Yuhan Wu, Jintao He, Shen Yan, Jianyu Wu, Tong Yang, Olivier Ruas, Gong Zhang, Bin Cui:
Elastic Bloom Filter: Deletable and Expandable Filter Using Elastic Fingerprints. IEEE Trans. Computers 71(4): 984-991 (2022) - [j74]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. IEEE Trans. Knowl. Data Eng. 34(9): 4119-4132 (2022) - [j73]Shiyu Cheng, Dongsheng Yang, Tong Yang, Haowei Zhang, Bin Cui:
LTC: A Fast Algorithm to Accurately Find Significant Items in Data Streams. IEEE Trans. Knowl. Data Eng. 34(9): 4342-4356 (2022) - [j72]Zhaodong Kang, Jin Xu, Wenqi Wang, Jie Jiang, Shiqi Jiang, Tong Yang, Bin Cui, Tilman Wolf:
Coloring Embedder: Towards Multi-Set Membership Queries in Web Cache Sharing. IEEE Trans. Knowl. Data Eng. 34(12): 5664-5680 (2022) - [c164]Hongbo Yin, Yingxia Shao, Xupeng Miao, Yawen Li, Bin Cui:
Scalable Graph Sampling on GPUs with Compressed Graph. CIKM 2022: 2383-2392 - [c163]Long Guo, Fei Fang, Binqiang Zhao, Bin Cui:
UDM: A Unified Deep Matching Framework in Recommender Systems. CIKM 2022: 3122-3130 - [c162]Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, Hongsheng Li:
PointCLIP: Point Cloud Understanding by CLIP. CVPR 2022: 8542-8552 - [c161]Zhuochen Fan, Yinda Zhang, Tong Yang, Mingyi Yan, Gang Wen, Yuhan Wu, Hongze Li, Bin Cui:
PeriodicSketch: Finding Periodic Items in Data Streams. ICDE 2022: 96-109 - [c160]Yikai Zhao, Yubo Zhang, Pu Yi, Tong Yang, Bin Cui, Steve Uhlig:
The Stair Sketch: Bringing more Clarity to Memorize Recent Events. ICDE 2022: 164-177 - [c159]Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui:
Contrastive Learning for Sequential Recommendation. ICDE 2022: 1259-1273 - [c158]Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui:
DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion: (Extended Abstract). ICDE 2022: 1499-1500 - [c157]Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang:
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract). ICDE 2022: 1561-1562 - [c156]Sicong Dong, Xupeng Miao, Pengkai Liu, Xin Wang, Bin Cui, Jianxin Li:
HET-KG: Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache. ICDE 2022: 1754-1766 - [c155]Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui:
Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest. ICDE 2022: 2224-2236 - [c154]Xiaonan Nie, Xupeng Miao, Zhi Yang, Bin Cui:
TSPLIT: Fine-grained GPU Memory Management for Efficient DNN Training via Tensor Splitting. ICDE 2022: 2615-2628 - [c153]Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels. ICLR 2022 - [c152]Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui:
Deep and Flexible Graph Neural Architecture Search. ICML 2022: 26362-26374 - [c151]Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui:
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. ICML 2022: 26467-26483 - [c150]Zirui 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:
BurstBalancer: Do Less, Better Balance for Large-scale Data Center Traffic. ICNP 2022: 1-13 - [c149]Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui:
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. KDD 2022: 956-966 - [c148]Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui:
Transfer Learning based Search Space Design for Hyperparameter Tuning. KDD 2022: 967-977 - [c147]Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui:
Model Degradation Hinders Deep Graph Neural Networks. KDD 2022: 2493-2503 - [c146]Jiawei Jiang, Yusong Hu, Xiaosen Li, Wen Ouyang, Zhitao Wang, Fangcheng Fu, Bin Cui:
Analyzing Online Transaction Networks with Network Motifs. KDD 2022: 3098-3106 - [c145]Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
Graph Attention Multi-Layer Perceptron. KDD 2022: 4560-4570 - [c144]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. SAC 2022: 413-422 - [c143]Xupeng Miao, Yining Shi, Hailin Zhang, Xin Zhang, Xiaonan Nie, Zhi Yang, Bin Cui:
HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training. SIGMOD Conference 2022: 470-480 - [c142]Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, Bin Cui:
Towards Dynamic and Safe Configuration Tuning for Cloud Databases. SIGMOD Conference 2022: 631-645 - [c141]Yikai Zhao, Yinda Zhang, Yuanpeng Li, Yi Zhou, Chunhui Chen, Tong Yang, Bin Cui:
MinMax Sampling: A Near-optimal Global Summary for Aggregation in the Wide Area. SIGMOD Conference 2022: 744-758 - [c140]Yahui Sun, Shuai Ma, Bin Cui:
Hunting Temporal Bumps in Graphs with Dynamic Vertex Properties. SIGMOD Conference 2022: 874-888 - [c139]Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, Bin Cui:
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data. SIGMOD Conference 2022: 1316-1330 - [c138]Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm. WWW 2022: 1817-1828 - [i55]Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui:
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. CoRR abs/2201.06834 (2022) - [i54]Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm. CoRR abs/2203.00638 (2022) - [i53]Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels. CoRR abs/2203.01093 (2022) - [i52]Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui:
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest. CoRR abs/2203.12596 (2022) - [i51]Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin:
AutoML for Deep Recommender Systems: A Survey. CoRR abs/2203.13922 (2022) - [i50]Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, Bin Cui:
Towards Dynamic and Safe Configuration Tuning for Cloud Databases. CoRR abs/2203.14473 (2022) - [i49]Xiaonan Nie, Pinxue Zhao, Xupeng Miao, Tong Zhao, Bin Cui:
HetuMoE: An Efficient Trillion-scale Mixture-of-Expert Distributed Training System. CoRR abs/2203.14685 (2022) - [i48]Hongzheng Li, Yingxia Shao, Junping Du, Bin Cui, Lei Chen:
An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs. CoRR abs/2203.16123 (2022) - [i47]Yuezihan Jiang, Hao Yang, Junyang Lin, Hanyu Zhao, An Yang, Chang Zhou, Hongxia Yang, Zhi Yang, Bin Cui:
Instance-wise Prompt Tuning for Pretrained Language Models. CoRR abs/2206.01958 (2022) - [i46]Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui:
Transfer Learning based Search Space Design for Hyperparameter Tuning. CoRR abs/2206.02511 (2022) - [i45]Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui:
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. CoRR abs/2206.02663 (2022) - [i44]Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
Graph Attention Multi-Layer Perceptron. CoRR abs/2206.04355 (2022) - [i43]Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui:
Model Degradation Hinders Deep Graph Neural Networks. CoRR abs/2206.04361 (2022) - [i42]Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, Bin Cui:
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data. CoRR abs/2206.07975 (2022) - [i41]Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui:
DFG-NAS: Deep and Flexible Graph Neural Architecture Search. CoRR abs/2206.08582 (2022) - [i40]Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui:
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. CoRR abs/2206.08583 (2022) - [i39]Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui:
Efficient End-to-End AutoML via Scalable Search Space Decomposition. CoRR abs/2206.09423 (2022) - [i38]Fangcheng Fu, Xupeng Miao, Jiawei Jiang, Huanran Xue, Bin Cui:
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates. CoRR abs/2207.14628 (2022) - [i37]Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui:
Diffusion Models: A Comprehensive Survey of Methods and Applications. CoRR abs/2209.00796 (2022) - [i36]Youhe Jiang, Xupeng Miao, Xiaonan Nie, Bin Cui:
OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning. CoRR abs/2209.13258 (2022) - [i35]Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui:
CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention. CoRR abs/2209.14169 (2022) - [i34]Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen:
Distributed Graph Neural Network Training: A Survey. CoRR abs/2211.00216 (2022) - [i33]Xinyi Gao, Wentao Zhang, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
Efficient Graph Neural Network Inference at Large Scale. CoRR abs/2211.00495 (2022) - [i32]Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang:
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training. CoRR abs/2211.11138 (2022) - [i31]Xupeng Miao, Yujie Wang, Youhe Jiang, Chunan Shi, Xiaonan Nie, Hailin Zhang, Bin Cui:
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism. CoRR abs/2211.13878 (2022) - 2021
- [j71]Jie Gu, Bin Cui, Shan Lu:
A classification framework for multivariate compositional data with Dirichlet feature embedding. Knowl. Based Syst. 212: 106614 (2021) - [j70]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) - [j69]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) - [j68]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) - [j67]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) - [j66]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) - [j65]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. Proc. VLDB Endow. 15(2): 312-320 (2021) - [j64]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. Proc. VLDB Endow. 15(4): 752-765 (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) - [c137]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 - [c136]Yikuan Xia, Jun Gao, Bin Cui:
iMap: Incremental Node Mapping between Large Graphs Using GNN. CIKM 2021: 2191-2200 - [c135]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 - [c134]Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen:
UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling. ICDE 2021: 516-527 - [c133]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 - [c132]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 - [c131]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 - [c130]Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui:
Challenges and Opportunities of Building Fast GBDT Systems. IJCAI 2021: 4661-4668 - [c129]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 - [c128]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 - [c127]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 - [c126]Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
Node Dependent Local Smoothing for Scalable Graph Learning. NeurIPS 2021: 20321-20332 - [c125]Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
RIM: Reliable Influence-based Active Learning on Graphs. NeurIPS 2021: 27978-27990 - [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]