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Yulong Pei
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2020 – today
- 2024
- [j34]Yulong Pei, Yuhang Wen, Sheng Pan:
Road Traffic Accident Risk Prediction and Key Factor Identification Framework Based on Explainable Deep Learning. IEEE Access 12: 120597-120611 (2024) - [j33]Ricky Maulana Fajri, Akrati Saxena, Yulong Pei, Mykola Pechenizkiy:
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering. Expert Syst. Appl. 242: 122842 (2024) - [j32]Yulong Pei, Tanci Chen, Feng Chai:
Modeling and Analysis of a Novel Distributed Magnetic-Pole Permanent Magnet Planetary Machine. IEEE Trans. Ind. Electron. 71(12): 16212-16222 (2024) - [c60]Dongsheng Wang, Natraj Raman, Mathieu Sibue, Zhiqiang Ma, Petr Babkin, Simerjot Kaur, Yulong Pei, Armineh Nourbakhsh, Xiaomo Liu:
DocLLM: A Layout-Aware Generative Language Model for Multimodal Document Understanding. ACL (1) 2024: 8529-8548 - [c59]Jiaxu Zhao, Zijing Shi, Yitong Li, Yulong Pei, Ling Chen, Meng Fang, Mykola Pechenizkiy:
More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation. ACL (Findings) 2024: 9987-10001 - [c58]Zhao Sun, Yulong Pei, Defu Li, Qinke Peng:
CGN: A Simple Yet Effective Multi-Channel Gated Network for Long-Term Time Series Forecasting. ICASSP 2024: 7400-7404 - [c57]Yirui Liu, Xinghao Qiao, Yulong Pei, Liying Wang:
Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization. ICML 2024 - [c56]Ricky Maulana Fajri, Yulong Pei, Lu Yin, Mykola Pechenizkiy:
A Structural-Clustering Based Active Learning for Graph Neural Networks. IDA (1) 2024: 28-40 - [i30]Dongsheng Wang, Natraj Raman, Mathieu Sibue, Zhiqiang Ma, Petr Babkin, Simerjot Kaur, Yulong Pei, Armineh Nourbakhsh, Xiaomo Liu:
DocLLM: A layout-aware generative language model for multimodal document understanding. CoRR abs/2401.00908 (2024) - [i29]Yulong Pei, Salwa Alamir, Rares Dolga, Sameena Shah:
Code Revert Prediction with Graph Neural Networks: A Case Study at J.P. Morgan Chase. CoRR abs/2403.09507 (2024) - [i28]Ran Zmigrod, Dongsheng Wang, Mathieu Sibue, Yulong Pei, Petr Babkin, Ivan Brugere, Xiaomo Liu, Nacho Navarro, Antony Papadimitriou, William Watson, Zhiqiang Ma, Armineh Nourbakhsh, Sameena Shah:
BuDDIE: A Business Document Dataset for Multi-task Information Extraction. CoRR abs/2404.04003 (2024) - [i27]Tianjin Huang, Meng Fang, Li Shen, Fan Liu, Yulong Pei, Mykola Pechenizkiy, Shiwei Liu, Tianlong Chen:
(PASS) Visual Prompt Locates Good Structure Sparsity through a Recurrent HyperNetwork. CoRR abs/2407.17412 (2024) - [i26]Ricky Maulana Fajri, Yulong Pei, Lu Yin, Mykola Pechenizkiy:
Robust Active Learning (RoAL): Countering Dynamic Adversaries in Active Learning with Elastic Weight Consolidation. CoRR abs/2408.07364 (2024) - [i25]Vibhor Agarwal, Yulong Pei, Salwa Alamir, Xiaomo Liu:
CodeMirage: Hallucinations in Code Generated by Large Language Models. CoRR abs/2408.08333 (2024) - 2023
- [j31]Jianpeng Zhang, Hongchang Chen, Dingjiu Yu, Yulong Pei, Yingjun Deng:
Cluster-preserving sampling algorithm for large-scale graphs. Sci. China Inf. Sci. 66(1) (2023) - [j30]Zheng Wu, Hongchang Chen, Jianpeng Zhang, Yulong Pei, Zishuo Huang:
Temporal motif-based attentional graph convolutional network for dynamic link prediction. Intell. Data Anal. 27(1): 241-268 (2023) - [j29]Ziqi Wang, Yulong Pei, Jing Liu, Hehang Liu:
Vulnerability analysis of urban road networks based on traffic situation. Int. J. Crit. Infrastructure Prot. 41: 100590 (2023) - [j28]Yanlei Yu, Yulong Pei, Feng Chai, Martin Doppelbauer:
Analysis of Back EMF Harmonics Influenced by Slot-Pole Combinations in Permanent Magnet Vernier In-Wheel Motors. IEEE Trans. Ind. Electron. 70(5): 4461-4471 (2023) - [j27]Yanlei Yu, Yulong Pei, Feng Chai, Martin Doppelbauer:
Performance Comparison Between Permanent Magnet Synchronous Motor and Vernier Motor for In-Wheel Direct Drive. IEEE Trans. Ind. Electron. 70(8): 7761-7772 (2023) - [j26]Tanci Chen, Yulong Pei, Feng Chai, Yanzhen Shao:
Sideband Harmonic Model Considering Sampling Delay Effect in the PMSM Drives With Regular Sampled SVPWM Technique under the Low Carrier Frequency Ratio. IEEE Trans. Ind. Electron. 70(10): 9914-9924 (2023) - [c55]Zirui Liang, Yuntao Li, Tianjin Huang, Akrati Saxena, Yulong Pei, Mykola Pechenizkiy:
Heterophily-Based Graph Neural Network for Imbalanced Classification. COMPLEX NETWORKS (1) 2023: 74-86 - [c54]Xianzhi Li, Samuel Chan, Xiaodan Zhu, Yulong Pei, Zhiqiang Ma, Xiaomo Liu, Sameena Shah:
Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks. EMNLP (Industry Track) 2023: 408-422 - [c53]Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy:
Enhancing Adversarial Training via Reweighting Optimization Trajectory. ECML/PKDD (1) 2023: 113-130 - [c52]Yulong Pei, Salwa Alamir, Rares Dolga, Sameena Shah:
Code Revert Prediction with Graph Neural Networks: A Case Study at J.P. Morgan Chase. SDD@SIGSOFT FSE 2023: 1-5 - [c51]Sameena Shah, Xiaodan Zhu, Wenhu Chen, Manling Li, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Yulong Pei, Akshat Gupta:
Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop. SIGIR 2023: 3464-3467 - [i24]Yirui Liu, Xinghao Qiao, Yulong Pei, Liying Wang:
DF2M: An Explainable Deep Bayesian Nonparametric Model for High-Dimensional Functional Time Series. CoRR abs/2305.14543 (2023) - [i23]Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy:
Enhancing Adversarial Training via Reweighting Optimization Trajectory. CoRR abs/2306.14275 (2023) - [i22]Tianchao Li, Yulong Pei:
MOLE: MOdular Learning FramEwork via Mutual Information Maximization. CoRR abs/2308.07772 (2023) - [i21]Ethan Callanan, Amarachi Mbakwe, Antony Papadimitriou, Yulong Pei, Mathieu Sibue, Xiaodan Zhu, Zhiqiang Ma, Xiaomo Liu, Sameena Shah:
Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams. CoRR abs/2310.08678 (2023) - [i20]Zirui Liang, Yuntao Li, Tianjin Huang, Akrati Saxena, Yulong Pei, Mykola Pechenizkiy:
Heterophily-Based Graph Neural Network for Imbalanced Classification. CoRR abs/2310.08725 (2023) - [i19]Ricky Maulana Fajri, Yulong Pei, Lu Yin, Mykola Pechenizkiy:
A Structural-Clustering Based Active Learning for Graph Neural Networks. CoRR abs/2312.04307 (2023) - 2022
- [j25]Fang Lv, Wei Wang, Linxuan Han, Di Wang, Yulong Pei, Junheng Huang, Bailing Wang, Mykola Pechenizkiy:
Mining trading patterns of pyramid schemes from financial time series data. Future Gener. Comput. Syst. 134: 388-398 (2022) - [j24]Lin Qi, Yulong Pei, Jun Dong:
Collaborative optimization method of transportation planning and land use and its system unit decision making. J. Comput. Methods Sci. Eng. 22(4): 1223-1233 (2022) - [j23]Tianjin Huang, Vlado Menkovski, Yulong Pei, Yuhao Wang, Mykola Pechenizkiy:
Direction-aggregated Attack for Transferable Adversarial Examples. ACM J. Emerg. Technol. Comput. Syst. 18(3): 60:1-60:22 (2022) - [j22]Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy:
ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks. Mach. Learn. 111(2): 519-541 (2022) - [j21]Yulong Pei, Xiaoxi Cai, Keke Song, Rui Liu, Jie Li:
Identification Method of Main Road Traffic Congestion Situation in Cold-Climate Cities Based on Potential Energy Theory and GPS Data. Symmetry 14(2): 227 (2022) - [j20]Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei, Lin Pan:
A Survey on Role-Oriented Network Embedding. IEEE Trans. Big Data 8(4): 933-952 (2022) - [c50]Afrizal Doewes, Akrati Saxena, Yulong Pei, Mykola Pechenizkiy:
Individual Fairness Evaluation for Automated Essay Scoring System. EDM 2022 - [c49]Lu Yin, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy:
Semantic-Based Few-Shot Classification by Psychometric Learning. IDA 2022: 392-403 - [c48]Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu:
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. LoG 2022: 8 - [c47]Tianjin Huang, Yulong Pei, Vlado Menkovski, Mykola Pechenizkiy:
Hop-Count Based Self-supervised Anomaly Detection on Attributed Networks. ECML/PKDD (1) 2022: 225-241 - [c46]Lu Yin, Vlado Menkovski, Meng Fang, Tianjin Huang, Yulong Pei, Mykola Pechenizkiy:
Superposing many tickets into one: A performance booster for sparse neural network training. UAI 2022: 2267-2277 - [i18]Lu Yin, Vlado Menkovski, Meng Fang, Tianjin Huang, Yulong Pei, Mykola Pechenizkiy, Decebal Constantin Mocanu, Shiwei Liu:
Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training. CoRR abs/2205.15322 (2022) - [i17]Ricky Maulana Fajri, Akrati Saxena, Yulong Pei, Mykola Pechenizkiy:
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering. CoRR abs/2209.12756 (2022) - [i16]Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu:
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. CoRR abs/2211.15335 (2022) - 2021
- [j19]Xiaoxi Cai, Yulong Pei:
Review of the Cycling Network Planning and Design in Chinese Cold-Climate Cities. IEEE Access 9: 25291-25313 (2021) - [j18]Cong Liu, Yulong Pei, Long Cheng, Qingtian Zeng, Hua Duan:
Sampling business process event logs using graph-based ranking model. Concurr. Comput. Pract. Exp. 33(5) (2021) - [j17]Zheng Wu, Hongchang Chen, Jianpeng Zhang, Shuxin Liu, Ruiyang Huang, Yulong Pei:
A directed link prediction method using graph convolutional network based on social ranking theory. Intell. Data Anal. 25(3): 739-757 (2021) - [j16]Shiwei Liu, Decebal Constantin Mocanu, Amarsagar Reddy Ramapuram Matavalam, Yulong Pei, Mykola Pechenizkiy:
Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware. Neural Comput. Appl. 33(7): 2589-2604 (2021) - [j15]Feng Chai, Lei Gan, Yulong Pei, Shukang Cheng:
Tilting Torque Analysis of an Iron-Cored Tiered-Type Permanent Magnet Spherical Motor. IEEE Trans. Ind. Electron. 68(7): 6121-6130 (2021) - [c45]Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy:
calibrated adversarial training. ACML 2021: 626-641 - [c44]Akrati Saxena, Yulong Pei, Jan Veldsink, Werner van Ipenburg, George Fletcher, Mykola Pechenizkiy:
The banking transactions dataset and its comparative analysis with scale-free networks. ASONAM 2021: 283-296 - [c43]Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy:
ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks. DSAA 2021: 1-2 - [c42]Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy:
Selfish Sparse RNN Training. ICML 2021: 6893-6904 - [c41]Yulong Pei, Yanyun Qu, Junping Zhang:
Self-boosting for Feature Distillation. IJCAI 2021: 945-951 - [c40]Tianjin Huang, Yulong Pei, Vlado Menkovski, Mykola Pechenizkiy:
On Generalization of Graph Autoencoders with Adversarial Training. ECML/PKDD (2) 2021: 367-382 - [c39]Yulong Pei, Qian Zhang:
GOAT at the FinSim-2 task: Learning Word Representations of Financial Data with Customized Corpus. WWW (Companion Volume) 2021: 307-310 - [i15]Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy:
Selfish Sparse RNN Training. CoRR abs/2101.09048 (2021) - [i14]Tianjin Huang, Yulong Pei, Vlado Menkovski, Mykola Pechenizkiy:
Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks. CoRR abs/2104.07917 (2021) - [i13]Tianjin Huang, Vlado Menkovski, Yulong Pei, Yuhao Wang, Mykola Pechenizkiy:
Direction-Aggregated Attack for Transferable Adversarial Examples. CoRR abs/2104.09172 (2021) - [i12]Tianjin Huang, Yulong Pei, Vlado Menkovski, Mykola Pechenizkiy:
On Generalization of Graph Autoencoders with Adversarial Training. CoRR abs/2107.02658 (2021) - [i11]Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei:
A Survey on Role-Oriented Network Embedding. CoRR abs/2107.08379 (2021) - [i10]Akrati Saxena, Yulong Pei, Jan Veldsink, Werner van Ipenburg, George Fletcher, Mykola Pechenizkiy:
The Banking Transactions Dataset and its Comparative Analysis with Scale-free Networks. CoRR abs/2109.10703 (2021) - [i9]Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy:
Calibrated Adversarial Training. CoRR abs/2110.00623 (2021) - [i8]Zeyu Zhang, Yulong Pei:
A Comparative Study on Robust Graph Neural Networks to Structural Noises. CoRR abs/2112.06070 (2021) - [i7]Lu Yin, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy:
Semantic-Based Few-Shot Learning by Interactive Psychometric Testing. CoRR abs/2112.09201 (2021) - 2020
- [j14]Negar Ahmadi, Yulong Pei, Evelien Carrette, Albert P. Aldenkamp, Mykola Pechenizkiy:
EEG-based classification of epilepsy and PNES: EEG microstate and functional brain network features. Brain Informatics 7(1): 6 (2020) - [j13]Yulong Pei, Xin Du, Jianpeng Zhang, George Fletcher, Mykola Pechenizkiy:
struc2gauss: Structural role preserving network embedding via Gaussian embedding. Data Min. Knowl. Discov. 34(4): 1072-1103 (2020) - [j12]Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy:
Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling. Data Min. Knowl. Discov. 34(5): 1267-1290 (2020) - [j11]Lei Gan, Yulong Pei, Feng Chai:
Tilting Torque Calculation of a Novel Tiered Type Permanent Magnet Spherical Motor. IEEE Trans. Ind. Electron. 67(1): 421-431 (2020) - [j10]Jianpeng Zhang, Yulong Pei, George Fletcher, Mykola Pechenizkiy:
Evaluation of the Sample Clustering Process on Graphs. IEEE Trans. Knowl. Data Eng. 32(7): 1333-1347 (2020) - [c38]Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy:
Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data. AAAI 2020: 3809-3816 - [c37]Yulong Pei, Fang Lyu, Werner van Ipenburg, Mykola Pechenizkiy:
Subgraph anomaly detection in financial transaction networks. ICAIF 2020: 18:1-18:8 - [c36]Yuan Xie, Yulong Pei, Yun Lu, Haixu Tang, Yuan Zhou:
Learning Structural Genetic Information via Graph Neural Embedding. ISBRA 2020: 250-261 - [c35]Yulong Pei, Cong Liu, Chuanyang Zheng, Long Cheng:
Nonnegative Residual Matrix Factorization for Community Detection. WISE (1) 2020: 196-209 - [c34]Cong Liu, Yulong Pei, Qingtian Zeng, Hua Duan, Feng Zhang:
LogRank+: A Novel Approach to Support Business Process Event Log Sampling. WISE (2) 2020: 417-430 - [i6]Rahul Radhakrishnan Iyer, Yulong Pei, Katia P. Sycara:
Simultaneous Identification of Tweet Purpose and Position. CoRR abs/2001.00051 (2020) - [i5]Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy:
ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks. CoRR abs/2009.14738 (2020) - [i4]Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy:
Bridging the Performance Gap between FGSM and PGD Adversarial Training. CoRR abs/2011.05157 (2020)
2010 – 2019
- 2019
- [j9]Feng Chai, Lina Geng, Yulong Pei:
A Novel Fault Tolerant Machine With Integral Slot Non-Overlapping Concentrated Winding. IEEE Access 7: 99462-99469 (2019) - [j8]Jianpeng Zhang, Kaijie Zhu, Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy:
Cluster-preserving sampling from fully-dynamic streaming graphs. Inf. Sci. 482: 279-300 (2019) - [j7]Feng Chai, Yi Li, Yulong Pei, Yanjun Yu:
Analysis of Radial Vibration Caused by Magnetic Force and Torque Pulsation in Interior Permanent Magnet Synchronous Motors Considering Air-Gap Deformations. IEEE Trans. Ind. Electron. 66(9): 6703-6714 (2019) - [c33]Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy:
Joint role and community detection in networks via L2, 1 norm regularized nonnegative matrix tri-factorization. ASONAM 2019: 168-175 - [c32]Yulong Pei, Jianpeng Zhang, George H. L. Fletcher, Mykola Pechenizkiy:
Infinite motif stochastic blockmodel for role discovery in networks. ASONAM 2019: 456-459 - [c31]Ying Yin, Jianpeng Zhang, Yulong Pei, Xiaotao Cheng, Lixin Ji:
MHDNE: Network Embedding Based on Multivariate Hawkes Process. PKDD/ECML Workshops (1) 2019: 409-421 - [i3]Shiwei Liu, Decebal Constantin Mocanu, Amarsagar Reddy Ramapuram Matavalam, Yulong Pei, Mykola Pechenizkiy:
Sparse evolutionary Deep Learning with over one million artificial neurons on commodity hardware. CoRR abs/1901.09181 (2019) - 2018
- [j6]Rosa Sicilia, Stella Lo Giudice, Yulong Pei, Mykola Pechenizkiy, Paolo Soda:
Twitter rumour detection in the health domain. Expert Syst. Appl. 110: 33-40 (2018) - [j5]Jianpeng Zhang, Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy:
A bounded-size clustering algorithm on fully-dynamic streaming graphs. Intell. Data Anal. 22(5): 1039-1058 (2018) - [c30]Yulong Pei, Jianpeng Zhang, George H. L. Fletcher, Mykola Pechenizkiy:
DyNMF: Role Analytics in Dynamic Social Networks. IJCAI 2018: 3818-3824 - [c29]Cong Liu, Yulong Pei, Qingtian Zeng, Hua Duan:
LogRank: An Approach to Sample Business Process Event Log for Efficient Discovery. KSEM (1) 2018: 415-425 - [c28]Wouter Ligtenberg, Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy:
Tink: A Temporal Graph Analytics Library for Apache Flink. WWW (Companion Volume) 2018: 71-72 - [i2]Yulong Pei, Xin Du, Jianpeng Zhang, George H. L. Fletcher, Mykola Pechenizkiy:
struc2gauss: Structure Preserving Network Embedding via Gaussian Embedding. CoRR abs/1805.10043 (2018) - 2017
- [j4]Peixin Liang, Feng Chai, Yi Li, Yulong Pei:
Analytical Prediction of Magnetic Field Distribution in Spoke-Type Permanent-Magnet Synchronous Machines Accounting for Bridge Saturation and Magnet Shape. IEEE Trans. Ind. Electron. 64(5): 3479-3488 (2017) - [j3]Licheng Yu, Yulong Pei, Tianzhou Chen, Xueqing Lou, Minghui Wu, Tiefei Zhang:
Enable back memory and global synchronization on LLC buffer. J. Supercomput. 73(12): 5414-5439 (2017) - [c27]Rosa Sicilia, Stella Lo Giudice, Yulong Pei, Mykola Pechenizkiy, Paolo Soda:
Health-related rumour detection on Twitter. BIBM 2017: 1599-1606 - [c26]Negar Ahmadi, Yulong Pei, Mykola Pechenizkiy:
Detection of Alcoholism Based on EEG Signals and Functional Brain Network Features Extraction. CBMS 2017: 179-184 - [c25]Jianpeng Zhang, Kaijie Zhu, Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy:
Clustering-Structure Representative Sampling from Graph Streams. COMPLEX NETWORKS 2017: 265-277 - [c24]Long Cheng, Ying Wang, Yulong Pei, Dick H. J. Epema:
A Coflow-Based Co-Optimization Framework for High-Performance Data Analytics. ICPP 2017: 392-401 - [c23]Yulong Pei, Qiwei Wang, Yunlong Bi, Feng Chai:
A novel structure of axial flux permanent magnet synchronous machine with high torque density for electrical vehicle applications. IECON 2017: 1717-1722 - [c22]Yulong Pei, Feng Chai, Andrea Cavagnino, Silvio Vaschetto, Alberto Tenconi:
Equivalent permeability method for multiple machine analysis by a single 2d-FEA model. IECON 2017: 1941-1946 - [c21]Alexandr V. Maslov, Mykola Pechenizkiy, Yulong Pei, Indre Zliobaite, Alexander Shklyaev, Tommi Kärkkäinen, Jaakko Hollmén:
BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints. IJCNN 2017: 1916-1923 - [i1]Wouter Ligtenberg, Yulong Pei:
Introduction to a Temporal Graph Benchmark. CoRR abs/1703.02852 (2017) - 2016
- [j2]Licheng Yu, Yulong Pei, Tianzhou Chen, Minghui Wu:
Architecture supported register stash for GPGPU. J. Parallel Distributed Comput. 89: 25-36 (2016) - [j1]Feng Chai, Yi Li, Peixin Liang, Yulong Pei:
Calculation of the Maximum Mechanical Stress on the Rotor of Interior Permanent-Magnet Synchronous Motors. IEEE Trans. Ind. Electron. 63(6): 3420-3432 (2016) - [c20]Jianpeng Zhang, Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy:
Structural measures of clustering quality on graph samples. ASONAM 2016: 345-348 - [c19]Licheng Yu, Yulong Pei, Tianzhou Chen, Xueqing Lou, Minghui Wu, Tiefei Zhang:
LLC Buffer for Arbitrary Data Sharing in Heterogeneous Systems. HPCC/SmartCity/DSS 2016: 260-267 - [c18]Minghui Wu, Yulong Pei, Licheng Yu, Tianzhou Chen, Xueqing Lou, Tiefei Zhang:
WAP: The Warp Feature Aware Prefetching Method for LLC on CPU-GPU Heterogeneous Architecture. HPCC/SmartCity/DSS 2016: 414-421 - [c17]Yulong Pei, Licheng Yu, Minghui Wu, Tianzhou Chen, Xueqing Lou, Tiefei Zhang:
Two Methods for Combining Original Memory Access Coalescing and Equivalent Memory Access Coalescing on GPGPU. ICESS 2016: 48-53 - [c16]Feng Chai, Yunlong Bi, Yulong Pei, Hongwei Gao:
Calculation of D- and Q-axis inductances of axial flux permanent magnet synchronous motor with combined magnetic poles. IECON 2016: 1779-1783 - [c15]Yi Li, Yulong Pei, Zaixin Song, Feng Chai:
Effect of rotor deformation on magnetic radial force in interior permanent magnet synchronous motors with V-shaped rotor structures. IECON 2016: 1906-1911 - [c14]Jianpeng Zhang, Mykola Pechenizkiy, Yulong Pei, Julia Efremova:
A robust density-based clustering algorithm for multi-manifold structure. SAC 2016: 832-838 - 2015
- [c13]Pengtao Xie, Yulong Pei, Yuan Xie, Eric P. Xing:
Mining User Interests from Personal Photos. AAAI 2015: 1896-1902 - [c12]Yulong Pei, Licheng Yu, Minghui Wu, Tianzhou Chen:
Equidistant Memory Access Coalescing on GPGPU. HPCC/CSS/ICESS 2015: 272-277 - [c11]Wenpeng Yin, Yulong Pei:
Optimizing Sentence Modeling and Selection for Document Summarization. IJCAI 2015: 1383-1389 - [c10]Yulong Pei, Nilanjan Chakraborty, Katia P. Sycara:
Nonnegative Matrix Tri-Factorization with Graph Regularization for Community Detection in Social Networks. IJCAI 2015: 2083-2089 - 2012
- [c9]Wenpeng Yin, Yulong Pei, Fan Zhang, Lian'en Huang:
Query-focused multi-document summarization based on query-sensitive feature space. CIKM 2012: 1652-1656 - [c8]Yulong Pei, Wenpeng Yin, Qifeng Fan, Lian'en Huang:
A Supervised Aggregation Framework for Multi-Document Summarization. COLING 2012: 2225-2242 - [c7]Wenpeng Yin, Lifu Huang, Yulong Pei, Lian'en Huang:
RelationListwise for Query-Focused Multi-Document Summarization. COLING 2012: 2961-2976 - [c6]Wenpeng Yin, Yulong Pei, Fan Zhang, Lian'en Huang:
SentTopic-MultiRank: a Novel Ranking Model for Multi-Document Summarization. COLING 2012: 2977-2992 - [c5]Yulong Pei, Wenpeng Yin, Lian'en Huang:
Generic Multi-Document Summarization Using Topic-Oriented Information. PRICAI 2012: 435-446 - [c4]Wenpeng Yin, Yulong Pei, Lian'en Huang:
Automatic Multi-document Summarization Based on New Sentence Similarity Measures. PRICAI 2012: 832-837 - 2011
- [c3]Yulong Pei, Chuanyun Fu, Weiwei Qi, Ting Peng:
Model of Fuzzy Comprehension Evaluation of Traffic Operations Safety on Urban Ice and Snow Road. CSEE (2) 2011: 211-215 - [c2]Yulong Pei, Weiwei Qi, Chuanyun Fu:
Characteristics of Risky Merging Driving Behavior on Urban Expressway. CSEE (2) 2011: 284-290
2000 – 2009
- 2007
- [c1]Yulong Pei, Leilei Dai:
Study on Intelligent Lane Merge Control System for Freeway Work Zones. ITSC 2007: 586-591
Coauthor Index
aka: George H. L. Fletcher
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Unpaywalled article links
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Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
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Reference lists
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Citation data
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load citations from opencitations.net
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OpenAlex data
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last updated on 2024-11-18 21:44 CET by the dblp team
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