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2020 – today
- 2022
[j40]Ming Yan
, Jianxi Yang, Cen Chen, Joey Tianyi Zhou, Yi Pan, Zeng Zeng:
Enhanced gradient learning for deep neural networks. IET Image Process. 16(2): 365-377 (2022)- [j39]Zeng Zeng, Cen Chen, Bharadwaj Veeravalli, Keqin Li, Joey Tianyi Zhou:
Introduction to the Special Issue on edge intelligence: Neurocomputing meets edge computing. Neurocomputing 472: 149-151 (2022) - [j38]Bokai Zheng, Cen Chen, Yigang Lin, Yifan Hu, Xuerong Ye, Guofu Zhai, Enrico Zio:
Optimal design of step-stress accelerated degradation test oriented by nonlinear and distributed degradation process. Reliab. Eng. Syst. Saf. 217: 108087 (2022) - [j37]Cen Chen, Kenli Li, Wei Wei, Joey Tianyi Zhou, Zeng Zeng:
Hierarchical Graph Neural Networks for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(1): 240-252 (2022) - [j36]Cen Chen, Xiaofeng Zou, Zeng Zeng, Zhongyao Cheng, Le Zhang, Steven C. H. Hoi:
Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains. IEEE Trans. Cybern. 52(2): 1233-1246 (2022) - [j35]Xiaofeng Zou, Kenli Li, Cen Chen:
Multilevel Attention Based U-Shape Graph Neural Network for Point Clouds Learning. IEEE Trans. Ind. Informatics 18(1): 448-456 (2022) - [j34]Ming Yan, Cen Chen, Jiawei Du, Xi Peng, Joey Tianyi Zhou, Zeng Zeng:
Memory-Assistant Collaborative Language Understanding for Artificial Intelligence of Things. IEEE Trans. Ind. Informatics 18(5): 3349-3357 (2022) - [j33]Cen Chen, Kenli Li, Zhongyao Cheng, Francesco Piccialli, Steven C. H. Hoi, Zeng Zeng:
A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains. IEEE Trans. Intell. Transp. Syst. 23(4): 3268-3280 (2022) - [j32]Yangfan Li, Kenli Li, Cen Chen, Xu Zhou, Zeng Zeng, Keqin Li:
Modeling Temporal Patterns with Dilated Convolutions for Time-Series Forecasting. ACM Trans. Knowl. Discov. Data 16(1): 14:1-14:22 (2022) - [j31]Peiying Lin, Zhichen Shi, Zheng Xiao, Cen Chen, Kenli Li:
Latency-Driven Model Placement for Efficient Edge Intelligence Service. IEEE Trans. Serv. Comput. 15(2): 591-601 (2022) - [c62]Moming Tang, Dawei Cheng, Cen Chen, Yuqi Liang, Yifeng Luo, Weining Qian:
TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning. DASFAA (3) 2022: 306-313 - [c61]Ruyao Xu, Dawei Cheng, Cen Chen, Siqiang Luo, Yifeng Luo, Weining Qian:
Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination. DASFAA (3) 2022: 455-467 - [c60]Cen Chen, Kenli Li, Yangfan Li, Xiaofeng Zou:
ReGNN: A Redundancy-Eliminated Graph Neural Networks Accelerator. HPCA 2022: 429-443 - [c59]Mingyuan Fan, Yang Liu, Cen Chen, Shengxing Yu, Wenzhong Guo, Ximeng Liu:
Combating False Sense of Security: Breaking the Defense of Adversarial Training Via Non-Gradient Adversarial Attack. ICASSP 2022: 3293-3297 - [c58]Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, Jianfeng Ma:
Backdoor Defense with Machine Unlearning. INFOCOM 2022: 280-289 - [i26]Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, Jianfeng Ma:
Backdoor Defense with Machine Unlearning. CoRR abs/2201.09538 (2022) - [i25]Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou:
Understanding Long Programming Languages with Structure-Aware Sparse Attention. CoRR abs/2205.13730 (2022) - 2021
- [j30]Cen Chen, Yun Yang, Xuerong Ye, Guofu Zhai:
Soft Fault Diagnosis Using URV-LDA Transformed Feature Dictionary. IEEE Access 9: 16019-16029 (2021) - [j29]Kenli Li, Keqin Li, Cen Chen, Xiaokang Wang:
Introduction to the Special issue on Advances of neurocomputing for smart cities (NEUROCOM for smart cities). Neurocomputing 444: 67-68 (2021) - [j28]Yibi Chen, Xiaofeng Zou, Kenli Li, Keqin Li, Xulei Yang, Cen Chen:
Multiple local 3D CNNs for region-based prediction in smart cities. Inf. Sci. 542: 476-491 (2021) - [j27]Liping Li, Zean Tian, Kenli Li, Cen Chen:
G-CNN and double-referenced thresholding for detecting time series anomalies. J. Intell. Fuzzy Syst. 40(3): 3969-3980 (2021) - [j26]Xuerong Ye, Hao Chen, Cen Chen, Guofu Zhai:
Life-Cycle Dynamic Robust Design Optimization for Batch Production of Permanent Magnet Actuator. IEEE Trans. Ind. Electron. 68(10): 9885-9896 (2021) - [j25]Yangfan Li, Cen Chen, Mingxing Duan, Zeng Zeng, Kenli Li:
Attention-Aware Encoder-Decoder Neural Networks for Heterogeneous Graphs of Things. IEEE Trans. Ind. Informatics 17(4): 2890-2898 (2021) - [j24]Xuerong Ye, Yifan Hu, Junxian Shen, Cen Chen, Guofu Zhai:
An Adaptive Optimized TVF-EMD Based on a Sparsity-Impact Measure Index for Bearing Incipient Fault Diagnosis. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j23]Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan:
DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation. IEEE J. Biomed. Health Informatics 25(10): 3744-3751 (2021) - [j22]Chi Zhang, Liangli Zhen, Joey Zhou, Cen Chen:
Distributed Monitoring for Energy Infrastructures: A Two-Tier Analysis over Wireless Networks. IEEE Wirel. Commun. 28(6): 13-18 (2021) - [c57]Minghui Qiu, Xinjing Huang, Cen Chen, Feng Ji, Chen Qu, Wei Wei, Jun Huang, Yin Zhang:
Reinforced History Backtracking for Conversational Question Answering. AAAI 2021: 13718-13726 - [c56]Haojie Pan, Cen Chen, Chengyu Wang, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang:
Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations. CIKM 2021: 4055-4064 - [c55]Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin:
EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CIKM 2021: 4075-4084 - [c54]Cen Chen, Kenli Li, Xiaofeng Zou, Yangfan Li:
DyGNN: Algorithm and Architecture Support of Dynamic Pruning for Graph Neural Networks. DAC 2021: 1201-1206 - [c53]Cen Chen, Xinjing Huang, Feng Ji, Chengyu Wang, Minghui Qiu, Jun Huang, Yin Zhang:
CAT-BERT: A Context-Aware Transferable BERT Model for Multi-turn Machine Reading Comprehension. DASFAA (2) 2021: 152-167 - [c52]Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer:
Weakly-Supervised Open-Retrieval Conversational Question Answering. ECIR (1) 2021: 529-543 - [c51]Yun Yang, Cen Chen, Xuerong Ye, Chengzhi Sun:
An Excitation Method for Fault Diagnosis of DC-AC Converter Based on Simulation. I2MTC 2021: 1-6 - [c50]Zuobin Ying, Shuanglong Cao, Shengmin Xu, Ximeng Liu, Lingjuan Lyu, Cen Chen, Li Wang:
Privacy-Preserving Optimal Insulin Dosing Decision. ICASSP 2021: 2640-2644 - [c49]Way Tan, Bihan Wen, Cen Chen, Zeng Zeng, Xulei Yang:
Systematic Analysis of Circular Artifacts for Stylegan. ICIP 2021: 3902-3906 - [c48]Peiying Lin, Kenli Li, Zheng Xiao, Cen Chen, Siyang Yu:
Work in Progress: Path-based Graph Partition for Parallel Hardware-accelerated Functional Verification. RTAS 2021: 497-500 - [c47]Minjia Li, Yikun Hu, Cen Chen, Zheng Xiao, Chubo Liu, Kenli Li:
Work in Progress: Topology-based Multilevel Algorithm for Large-scale Task Scheduling in Clouds. RTAS 2021: 501-504 - [c46]Cen Chen, Chengyu Wang, Minghui Qiu, Dehong Gao, Linbo Jin, Wang Li:
Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems. WWW 2021: 2613-2623 - [i24]Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan:
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation. CoRR abs/2101.09057 (2021) - [i23]Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer:
Weakly-Supervised Open-Retrieval Conversational Question Answering. CoRR abs/2103.02537 (2021) - [i22]Yuchen Li, Yifan Bao, Liyao Xiang, Junhan Liu, Cen Chen, Li Wang, Xinbing Wang:
Privacy Threats Analysis to Secure Federated Learning. CoRR abs/2106.13076 (2021) - [i21]Kai Zheng, Cen Chen:
Contrast R-CNN for Continual Learning in Object Detection. CoRR abs/2108.04224 (2021) - [i20]Jamie Cui, Cen Chen, Tiandi Ye, Li Wang:
Practical and Light-weight Secure Aggregation for Federated Submodel Learning. CoRR abs/2111.01432 (2021) - 2020
- [j21]Jinning Li, Yichen Zhou, Jie Ding, Cen Chen, Xulei Yang:
ID Preserving Face Super-Resolution Generative Adversarial Networks. IEEE Access 8: 138373-138381 (2020) - [j20]Xiao Fu, Kenli Li, Jing Liu, Keqin Li, Zeng Zeng, Cen Chen:
A two-stage attention aware method for train bearing shed oil inspection based on convolutional neural networks. Neurocomputing 380: 212-224 (2020) - [j19]Le Zhang, Zhenghua Chen, Wei Cui, Bing Li, Cen Chen, Zhiguang Cao, Kaizhou Gao:
WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests. IEEE Internet Things J. 7(11): 10773-10781 (2020) - [j18]Jianxi Yang, Likai Zhang, Cen Chen, Yangfan Li, Ren Li, Guiping Wang, Shixin Jiang, Zeng Zeng:
A hierarchical deep convolutional neural network and gated recurrent unit framework for structural damage detection. Inf. Sci. 540: 117-130 (2020) - [j17]Xiaofeng Zou, Liqian Zhou, Kenli Li, Aijia Ouyang, Cen Chen:
Multi-task cascade deep convolutional neural networks for large-scale commodity recognition. Neural Comput. Appl. 32(10): 5633-5647 (2020) - [j16]Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Keqin Li, Zeng Zeng:
Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks. ACM Trans. Knowl. Discov. Data 14(4): 42:1-42:23 (2020) - [c45]Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou:
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. AAAI 2020: 6372-6379 - [c44]Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li, Yu Qiao:
aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots. CIKM 2020: 2853-2860 - [c43]Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, Benyu Zhang:
Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial. CIKM 2020: 3369-3372 - [c42]Wei Hu, Chongwei Zheng, Yonghao Wang, Jin Zhang, Cen Chen, Zeng Zeng:
Efficient Design of Hybrid Half-band Multi-stage Filter Based on Simulated Annealing Algorithm. HPCC/DSS/SmartCity 2020: 513-518 - [c41]Pei Yang, Jing Liu, Cen Chen, Yucheng Ding, Chunhua Deng, Zeng Zeng:
An Efficient Low Delay Task Scheduling Algorithm Based on Ant Colony System in Heterogeneous Environments. HPCC/DSS/SmartCity 2020: 519-524 - [c40]Jing Liu, Yifu Zhang, Yang Liu, Pei Yang, Cen Chen, Ziqi Zhu, Zeng Zeng:
A Balanced Cost Fault-Tolerant Scheduling Algorithm in Heterogeneous Real-Time Systems. HPCC/DSS/SmartCity 2020: 688-693 - [c39]Wei Hu, Chongwei Zheng, Yonghao Wang, Jing Liu, Cen Chen, Zeng Zeng:
A Novel Economical Design of Multistage Decimators for Low Latency Audio Applications. HPCC/DSS/SmartCity 2020: 923-929 - [c38]Jiawei Wang, Cen Chen, Chongwen Wang:
Street Sign Recognition Algorithm Based on Deep Learning. ICIGP 2020: 31-35 - [c37]Xulei Yang, Xin Zhao, Gabriel Tjio, Cen Chen, Li Wang, Bihan Wen, Yi Su:
Opencc - an open Benchmark data set for Corpus Callosum Segmentation and Evaluation. ICIP 2020: 3020-3024 - [c36]Zhongyao Cheng, Juelin Zhu, Cen Chen, Xiaoxi Yu, Wu Fan, Li Yue, Zeng Zeng:
Robust Train Component Detection with Cascade Convolutional Neural Networks based on Structure Knowledge. ITSC 2020: 1-6 - [c35]Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer:
Open-Retrieval Conversational Question Answering. SIGIR 2020: 539-548 - [c34]Cen Chen, Ya-Lin Zhang, Minghui Qiu, Bingzhe Wu, Li Wang, Longfei Li, Jun Zhou:
Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching. WWW (Companion Volume) 2020: 73-74 - [c33]Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen:
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. WWW 2020: 2592-2598 - [i19]Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen:
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. CoRR abs/2002.00571 (2020) - [i18]Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Xiukun Wang, Jun Zhou, Shuang Yang, Yuan Qi:
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. CoRR abs/2003.02833 (2020) - [i17]Forrest Sheng Bao, Hebi Li, Ge Luo, Cen Chen, Yinfei Yang, Minghui Qiu:
End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization. CoRR abs/2005.06377 (2020) - [i16]Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer:
Open-Retrieval Conversational Question Answering. CoRR abs/2005.11364 (2020) - [i15]Jianxi Yang, Likai Zhang, Cen Chen, Yangfan Li, Ren Li, Guiping Wang, Shixin Jiang, Zeng Zeng:
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection. CoRR abs/2006.01045 (2020) - [i14]Cen Chen, Bingzhe Wu, Minghui Qiu, Li Wang, Jun Zhou:
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning. CoRR abs/2009.01989 (2020) - [i13]Bin Zhang, Cen Chen, Li Wang:
Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy. CoRR abs/2009.11680 (2020) - [i12]Huiwen Wu, Cen Chen, Li Wang:
A Theoretical Perspective on Differentially Private Federated Multi-task Learning. CoRR abs/2011.07179 (2020) - [i11]Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Ang Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin:
EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CoRR abs/2011.09463 (2020) - [i10]Yilun Lin, Chaochao Chen, Cen Chen, Li Wang:
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty. CoRR abs/2011.11369 (2020) - [i9]Haojie Pan, Cen Chen, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang, Haiqing Chen:
Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations. CoRR abs/2011.12771 (2020) - [i8]Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin:
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. CoRR abs/2012.09364 (2020)
2010 – 2019
- 2019
- [j15]Kang Wang, Kenli Li, Liqian Zhou, Yikun Hu, Zhongyao Cheng, Jing Liu, Cen Chen:
Multiple convolutional neural networks for multivariate time series prediction. Neurocomputing 360: 107-119 (2019) - [j14]Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan Qi:
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. Proc. VLDB Endow. 12(12): 2082-2093 (2019) - [c32]Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng:
Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. AAAI 2019: 485-492 - [c31]Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng:
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. BHI 2019: 1-4 - [c30]Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Jun Zhou, Shuang Yang, Yuan Qi:
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. IEEE BigData 2019: 1765-1773 - [c29]Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer:
Attentive History Selection for Conversational Question Answering. CIKM 2019: 1391-1400 - [c28]Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao:
Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search. CIKM 2019: 2509-2515 - [c27]Chengxi Liu, Kenli Li, Jing Liu, Cen Chen:
LHCnn: A Novel Efficient Multivariate Time Series Prediction Framework Utilizing Convolutional Neural Networks. HPCC/SmartCity/DSS 2019: 2324-2332 - [c26]Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, Xiaolong Li:
AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot. IJCAI 2019: 6497-6499 - [c25]Li Zhang, Zhuo Lv, Xuesong Zhang, Cen Chen, Nuannuan Li, Yidong Li, Wei Wang:
A Novel Approach for Traffic Anomaly Detection in Power Distributed Control System and Substation System. NSS 2019: 408-417 - [c24]Cen Chen, Chilin Fu, Xu Hu, Xiaolu Zhang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao:
Reinforcement Learning for User Intent Prediction in Customer Service Bots. SIGIR 2019: 1265-1268 - [c23]Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao:
Multi-Domain Gated CNN for Review Helpfulness Prediction. WWW 2019: 2630-2636 - [i7]Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng:
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. CoRR abs/1903.04778 (2019) - [i6]Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi:
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. CoRR abs/1906.07407 (2019) - [i5]Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer:
Attentive History Selection for Conversational Question Answering. CoRR abs/1908.09456 (2019) - [i4]Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou:
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. CoRR abs/1910.02249 (2019) - 2018
- [j13]Xuerong Ye, Cen Chen, Myeongsu Kang, Guofu Zhai, Michael G. Pecht:
A Joint Distribution-Based Testability Metric Estimation Model for Unreliable Tests. IEEE Access 6: 42566-42577 (2018) - [j12]Xuerong Ye, Cen Chen, Yixing Wang, L. Wang, Guofu Zhai:
VDMOSFET HEF degradation modelling considering turn-around phenomenon. Microelectron. Reliab. 80: 37-41 (2018) - [j11]Xuerong Ye, Cen Chen, Guofu Zhai:
Fault localization of a switched mode power supply based on extended integer-coded dictionary method. Microelectron. Reliab. 88-90: 339-344 (2018) - [j10]Xuerong Ye, Kaixin Zhang, Cen Chen, Zhongwei Li, Yue Wang, Guofu Zhai:
The threshold voltage degradation model of N Channel VDMOSFETs under PBT stress. Microelectron. Reliab. 91: 46-51 (2018) - [j9]Cen Chen, Kenli Li, Aijia Ouyang, Keqin Li:
FlinkCL: An OpenCL-Based In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. IEEE Trans. Computers 67(12): 1765-1779 (2018) - [j8]Shih-Fen Cheng, Cen Chen, Thivya Kandappu, Hoong Chuin Lau, Archan Misra, Nikita Jaiman, Randy Tandriansyah, Desmond Koh:
Scalable Urban Mobile Crowdsourcing: Handling Uncertainty in Worker Movement. ACM Trans. Intell. Syst. Technol. 9(3): 26:1-26:24 (2018) - [j7]Cen Chen, Kenli Li, Aijia Ouyang, Zeng Zeng, Keqin Li:
GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. IEEE Trans. Parallel Distributed Syst. 29(6): 1275-1288 (2018) - [c22]Cen Chen, Kenli Li, Sin G. Teo, Guizi Chen, Xiaofeng Zou, Xulei Yang, Ramaseshan C. Vijay, Jiashi Feng, Zeng Zeng:
Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction. ICDM 2018: 893-898 - [c21]Cen Chen, Yinfei Yang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao:
Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators. NAACL-HLT (2) 2018: 602-607 - [c20]Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li:
A Local Online Learning Approach for Non-linear Data. PAKDD (2) 2018: 431-443 - [i3]Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao:
Review Helpfulness Prediction with Embedding-Gated CNN. CoRR abs/1808.09896 (2018) - 2017
- [j6]Cen Chen, Kenli Li, Aijia Ouyang, Keqin Li:
A parallel approximate SS-ELM algorithm based on MapReduce for large-scale datasets. J. Parallel Distributed Comput. 108: 85-94 (2017) - [j5]Shengru Li, Daoyun Hu, Wenjian Fang, Shoujiang Ma, Cen Chen, Huibai Huang, Zuqing Zhu:
Protocol Oblivious Forwarding (POF): Software-Defined Networking with Enhanced Programmability. IEEE Netw. 31(2): 58-66 (2017) - [j4]Cen Chen, Kenli Li, Aijia Ouyang, Zhuo Tang, Keqin Li:
GPU-Accelerated Parallel Hierarchical Extreme Learning Machine on Flink for Big Data. IEEE Trans. Syst. Man Cybern. Syst. 47(10): 2740-2753 (2017) - [c19]Cen Chen, Zachary B. Rubinstein, Stephen F. Smith, Hoong Chuin Lau:
Scalable Approaches to Home Health Care Scheduling Problems with Uncertainty. AAAI Workshops 2017 - [c18]Cen Chen, Zachary B. Rubinstein, Stephen F. Smith, Hoong Chuin Lau:
Tackling Large-Scale Home Health Care Delivery Problem with Uncertainty. ICAPS 2017: 358-366 - [c17]Yinfei Yang, Cen Chen, Minghui Qiu, Forrest Sheng Bao:
Aspect Extraction from Product Reviews Using Category Hierarchy Information. EACL (2) 2017: 675-680 - [c16]Wei Ai, Kenli Li, Cen Chen, Jiwu Peng, Keqin Li:
DHCRF: A Distributed Conditional Random Field Algorithm on a Heterogeneous CPU-GPU Cluster for Big Data. ICDCS 2017: 2372-2379 - [c15]Tongwu Dai, Kenli Li, Cen Chen:
A parallel randomized neural network on in-memory cluster computing for big data. ICNC-FSKD 2017: 1769-1778 - [c14]Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li, Minghui Qiu:
Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems. WWW (Companion Volume) 2017: 769-770 - [i2]Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Huiling Chen, Jie Lin, Babar Nazir, Cen Chen, Tse Chiang Howe, Zeng Zeng, Vijay Chandrasekhar:
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge. CoRR abs/1705.09435 (2017) - [i1]Xu Hu, Jun Huang, Minghui Qiu, Cen Chen, Wei Chu:
PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI). CoRR abs/1711.01034 (2017) - 2016
- [c13]Thivya Kandappu, Archan Misra, Shih-Fen Cheng, Nikita Jaiman, Randy Tandriansyah, Cen Chen, Hoong Chuin Lau, Deepthi Chander, Koustuv Dasgupta:
Campus-Scale Mobile Crowd-Tasking: Deployment & Behavioral Insights. CSCW 2016: 798-810 - [c12]Thivya Kandappu, Nikita Jaiman, Randy Tandriansyah, Archan Misra, Shih-Fen Cheng, Cen Chen, Hoong Chuin Lau, Deepthi Chander, Koustuv Dasgupta:
TASKer: behavioral insights via campus-based experimental mobile crowd-sourcing. UbiComp 2016: 392-402 - [c11]Jiwu Peng, Zheng Xiao, Cen Chen, Wangdong Yang:
Iterative sparse matrix-vector multiplication on in-memory cluster computing accelerated by GPUs for big data. ICNC-FSKD 2016: 1454-1460 - [c10]Cen Chen, Kenli Li, Aijia Ouyang, Zhuo Tang, Keqin Li:
GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. ICPP 2016: 542-551 - [c9]