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Peng Dai
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Peng Dai 0001 — University of Washington, Seattle, WA, USA
- Peng Dai 0002 — Huawei Technologies Inc., Markham, ON, Canada (and 2 more)
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2020 – today
- 2024
- [j33]Qilong Huang, Jianzhu Wang, Yixiao Song, Wenkai Cui, Hailang Li, Shengchun Wang, Peng Dai, Xinxin Zhao, Qingyong Li:
Synthetic-to-realistic domain adaptation for cold-start of rail inspection systems. Comput. Aided Civ. Infrastructure Eng. 39(3): 424-437 (2024) - [j32]Ru Li, Peng Dai, Guanghui Liu, Shengping Zhang, Bing Zeng, Shuaicheng Liu:
PBR-GAN: Imitating Physically-Based Rendering With Generative Adversarial Networks. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1827-1840 (2024) - [i31]Peng Dai, Feitong Tan, Xin Yu, Yinda Zhang, Xiaojuan Qi:
GO-NeRF: Generating Virtual Objects in Neural Radiance Fields. CoRR abs/2401.05750 (2024) - [i30]Chuan Guo, Yuxuan Mu, Xinxin Zuo, Peng Dai, Youliang Yan, Juwei Lu, Li Cheng:
Generative Human Motion Stylization in Latent Space. CoRR abs/2401.13505 (2024) - 2023
- [j31]Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu:
DreamStone: Image as a Stepping Stone for Text-Guided 3D Shape Generation. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14385-14403 (2023) - [j30]Zheng Gong, Peng Dai, Jingjie Li, Dahui Su, Xianjin Su:
Topology and Modulation for a New Indirect Matrix Converter to Reduce the Common-Mode Voltage. IEEE Trans. Ind. Electron. 70(7): 6518-6529 (2023) - [j29]Kaicong Huang, Yanlong Shen, Jiejun Chen, Liang Wang, Shengchun Wang, Peng Dai:
FRVO-Mono: Feature-Based Railway Visual Odometry With Monocular Camera. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [c65]Peng Dai, Yinda Zhang, Xin Yu, Xiaoyang Lyu, Xiaojuan Qi:
Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur. CVPR 2023: 154-164 - [c64]Renjing Pei, Jianzhuang Liu, Weimian Li, Bin Shao, Songcen Xu, Peng Dai, Juwei Lu, Youliang Yan:
CLIPPING: Distilling CLIP-Based Models with a Student Base for Video-Language Retrieval. CVPR 2023: 18983-18992 - [c63]Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Zhengzhe Liu, Xiaojuan Qi:
Texture Generation on 3D Meshes with Point-UV Diffusion. ICCV 2023: 4183-4193 - [c62]Xiaoyang Lyu, Peng Dai, Zizhang Li, Dongyu Yan, Yi Lin, Yifan Peng, Xiaojuan Qi:
Learning A Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation. ICCV 2023: 8906-8916 - [c61]Bin Shao, Jianzhuang Liu, Renjing Pei, Songcen Xu, Peng Dai, Juwei Lu, Weimian Li, Youliang Yan:
HiVLP: Hierarchical Interactive Video-Language Pre-Training. ICCV 2023: 13710-13720 - [c60]Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu:
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation. ICLR 2023 - [c59]Yanhui Guo, Xinxin Zuo, Peng Dai, Juwei Lu, Xiaolin Wu, Li Cheng, Youliang Yan, Songcen Xu, Xiaofei Wu:
Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the Wild. NeurIPS 2023 - [c58]Xiuzhe Wu, Peng Dai, Weipeng Deng, Handi Chen, Yang Wu, Yan-Pei Cao, Ying Shan, Xiaojuan Qi:
CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation. NeurIPS 2023 - [i29]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo:
Multi-Behavior Graph Neural Networks for Recommender System. CoRR abs/2302.08678 (2023) - [i28]Xiaoyang Lyu, Peng Dai, Zizhang Li, Dongyu Yan, Yi Lin, Yifan Peng, Xiaojuan Qi:
Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation. CoRR abs/2303.09152 (2023) - [i27]Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu:
ISS++: Image as Stepping Stone for Text-Guided 3D Shape Generation. CoRR abs/2303.15181 (2023) - [i26]Peng Dai, Yinda Zhang, Xin Yu, Xiaoyang Lyu, Xiaojuan Qi:
Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur. CoRR abs/2304.12652 (2023) - [i25]Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Zhengzhe Liu, Xiaojuan Qi:
Texture Generation on 3D Meshes with Point-UV Diffusion. CoRR abs/2308.10490 (2023) - [i24]Shaocong Wang, Yizhao Gao, Yi Li, Woyu Zhang, Yifei Yu, Bo Wang, Ning Lin, Hegan Chen, Yue Zhang, Yang Jiang, Dingchen Wang, Jia Chen, Peng Dai, Hao Jiang, Peng Lin, Xumeng Zhang, Xiaojuan Qi, Xiaoxin Xu, Hayden K. H. So, Zhongrui Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu:
Random resistive memory-based deep extreme point learning machine for unified visual processing. CoRR abs/2312.09262 (2023) - 2022
- [j28]Peng Dai, Yawen Wang, Dahai Jin, Yunzhan Gong, Wenjin Yang:
An improving approach to analyzing change impact of C programs. Comput. Commun. 182: 60-71 (2022) - [j27]Peng Dai, Qianjin Zhang, Yawen Wang, Dahai Jin, Yunzhan Gong:
Improving Large-Gap Clone Detection Recall Using Multiple Features. Int. J. Softw. Eng. Knowl. Eng. 32(7): 1071-1099 (2022) - [j26]Zheng Gong, Jingjie Li, Peng Dai, Dahui Su, Xiaojie Wu:
Design and Evaluation of a Virtual Vector Based Modulated Model Predictive Control for the Indirect Matrix Converters With Improved Performance. IEEE Trans. Ind. Electron. 69(12): 12019-12029 (2022) - [c57]Hanwen Liang, Niamul Quader, Zhixiang Chi, Lizhe Chen, Peng Dai, Juwei Lu, Yang Wang:
Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity. AAAI 2022: 1564-1573 - [c56]Varshanth R. Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu:
Decompose the Sounds and Pixels, Recompose the Events. AAAI 2022: 2144-2152 - [c55]Peng Dai, Xin Yu, Lan Ma, Baoheng Zhang, Jia Li, Wenbo Li, Jiajun Shen, Xiaojuan Qi:
Video Demoiréing with Relation-Based Temporal Consistency. CVPR 2022: 17601-17610 - [c54]Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Jiajun Shen, Jia Li, Xiaojuan Qi:
Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoiréing. ECCV (18) 2022: 646-662 - [c53]Varshanth R. Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu:
Dual Perspective Network for Audio-Visual Event Localization. ECCV (34) 2022: 689-704 - [c52]Mingkang Song, Mengke Yao, Xiaobin Wang, Jianming Zhou, Tenghui Ke, Peng Dai, Weidong Li, Xiaolong Zhou:
Base station computing force resource load balancing strategy for distributed machine learning. ICSS 2022: 142-146 - [c51]Yi Yang, Mingkang Song, Jianming Zhou, Peng Dai, Tenghui Ke, Weidong Li, Zhengguang Wu, Xiayan Zheng, Xijin Li:
Distributed machine learning based link allocation strategy. ICSS 2022: 237-240 - [i23]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo:
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. CoRR abs/2201.02307 (2022) - [i22]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen:
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction. CoRR abs/2201.02435 (2022) - [i21]Houpu Yao, Jiazhou Wang, Peng Dai, Liefeng Bo, Yanqing Chen:
An Efficient and Robust System for Vertically Federated Random Forest. CoRR abs/2201.10761 (2022) - [i20]Peng Dai, Xin Yu, Lan Ma, Baoheng Zhang, Jia Li, Wenbo Li, Jiajun Shen, Xiaojuan Qi:
Video Demoireing with Relation-Based Temporal Consistency. CoRR abs/2204.02957 (2022) - [i19]Peng Dai, Yiqiang Feng, Renliang Weng, Changshui Zhang:
Joint Spatial-Temporal and Appearance Modeling with Transformer for Multiple Object Tracking. CoRR abs/2205.15495 (2022) - [i18]Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Jiajun Shen, Jia Li, Xiaojuan Qi:
Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing. CoRR abs/2207.09935 (2022) - [i17]Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu:
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation. CoRR abs/2209.04145 (2022) - 2021
- [j25]Haoran Song, Shengchun Wang, Zichen Gu, Peng Dai, Xinyu Du, Yu Cheng:
Modeling and Optimization of Semantic Segmentation for Track Bed Foreign Object Based on Attention Mechanism. IEEE Access 9: 86646-86656 (2021) - [j24]Jianzhu Wang, Wei Huang, Shengchun Wang, Peng Dai, Qingyong Li:
LRGAN: Visual anomaly detection using GAN with locality-preferred recoding. J. Vis. Commun. Image Represent. 79: 103201 (2021) - [c50]Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye:
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. AAAI 2021: 4115-4122 - [c49]Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang:
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. AAAI 2021: 4123-4130 - [c48]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. AAAI 2021: 4486-4493 - [c47]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng:
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. AAAI 2021: 15008-15015 - [c46]Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo:
Social Recommendation with Self-Supervised Metagraph Informax Network. CIKM 2021: 1160-1169 - [c45]Peng Dai, Renliang Weng, Wongun Choi, Changshui Zhang, Zhangping He, Wei Ding:
Learning a Proposal Classifier for Multiple Object Tracking. CVPR 2021: 2443-2452 - [c44]Hanwen Liang, Qiong Zhang, Peng Dai, Juwei Lu:
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder. ICCV 2021: 9404-9414 - [c43]Deepak Sridhar, Niamul Quader, Srikanth Muralidharan, Yaoxin Li, Peng Dai, Juwei Lu:
Class Semantics-based Attention for Action Detection. ICCV 2021: 13719-13728 - [c42]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo:
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. ICDE 2021: 1931-1936 - [c41]Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo:
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. ICDE 2021: 2039-2044 - [c40]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen:
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. IJCAI 2021: 1631-1637 - [c39]Peng Dai:
Neural-based Rendering and Application. ACM Multimedia 2021: 2960-2963 - [c38]Wenkai Cui, Jianzhu Wang, Haomin Yu, Wenjuan Peng, Le Wang, Shengchun Wang, Peng Dai, Qingyong Li:
From Digital Model to Reality Application: A Domain Adaptation Method for Rail Defect Detection. PRCV (2) 2021: 115-126 - [c37]Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo:
Graph Meta Network for Multi-Behavior Recommendation. SIGIR 2021: 757-766 - [i16]Peng Dai, Renliang Weng, Wongun Choi, Changshui Zhang, Zhangping He, Wei Ding:
Learning a Proposal Classifier for Multiple Object Tracking. CoRR abs/2103.07889 (2021) - [i15]Bo Liu, Chaowei Tan, Jiazhou Wang, Tao Zeng, Huasong Shan, Houpu Yao, Heng Huang, Peng Dai, Liefeng Bo, Yanqing Chen:
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform. CoRR abs/2107.04129 (2021) - [i14]Hanwen Liang, Qiong Zhang, Peng Dai, Juwei Lu:
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder. CoRR abs/2108.05028 (2021) - [i13]Deepak Sridhar, Niamul Quader, Srikanth Muralidharan, Yaoxin Li, Peng Dai, Juwei Lu:
Class Semantics-based Attention for Action Detection. CoRR abs/2109.02613 (2021) - [i12]Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo:
Social Recommendation with Self-Supervised Metagraph Informax Network. CoRR abs/2110.03958 (2021) - [i11]Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo:
Graph Meta Network for Multi-Behavior Recommendation. CoRR abs/2110.03969 (2021) - [i10]Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye:
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. CoRR abs/2110.03987 (2021) - [i9]Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang:
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. CoRR abs/2110.03996 (2021) - [i8]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. CoRR abs/2110.04000 (2021) - [i7]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo:
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. CoRR abs/2110.04002 (2021) - [i6]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng:
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. CoRR abs/2110.04038 (2021) - [i5]Hanwen Liang, Niamul Quader, Zhixiang Chi, Lizhe Chen, Peng Dai, Juwei Lu, Yang Wang:
Self-supervised Spatiotemporal Representation Learning by Exploiting Video Continuity. CoRR abs/2112.05883 (2021) - [i4]Varshanth R. Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu:
Decompose the Sounds and Pixels, Recompose the Events. CoRR abs/2112.11547 (2021) - 2020
- [j23]Ping Zhou, Shuai Zhang, Peng Dai:
Recursive Learning-Based Bilinear Subspace Identification for Online Modeling and Predictive Control of a Complicated Industrial Process. IEEE Access 8: 62531-62541 (2020) - [j22]Weihang Zhang, Xue Wang, Wei You, Junfeng Chen, Peng Dai, Pengbo Zhang:
RESLS: Region and Edge Synergetic Level Set Framework for Image Segmentation. IEEE Trans. Image Process. 29: 57-71 (2020) - [j21]Peng Dai, Zhuwen Li, Yinda Zhang, Shuaicheng Liu, Bing Zeng:
PBR-Net: Imitating Physically Based Rendering Using Deep Neural Network. IEEE Trans. Image Process. 29: 5980-5992 (2020) - [c36]Zhenxing Chen, Bo Liu, Meiqing Wang, Peng Dai, Jun Lv, Liefeng Bo:
Generative Adversarial Attributed Network Anomaly Detection. CIKM 2020: 1989-1992 - [c35]Peng Dai, Yinda Zhang, Zhuwen Li, Shuaicheng Liu, Bing Zeng:
Neural Point Cloud Rendering via Multi-Plane Projection. CVPR 2020: 7827-7836 - [c34]Yong Xu, Jiahui Chen, Chao Huang, Bo Zhang, Hao Xing, Peng Dai, Liefeng Bo:
Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation. ECAI 2020: 545-552 - [c33]Niamul Quader, Juwei Lu, Peng Dai, Wei Li:
Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition. ECCV (30) 2020: 35-51 - [c32]Niamul Quader, Md Mafijul Islam Bhuiyan, Juwei Lu, Peng Dai, Wei Li:
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks. ECCV (30) 2020: 87-103 - [c31]Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo:
Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction. IJCAI 2020: 4359-4365 - [c30]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo:
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. SIGIR 2020: 2397-2406
2010 – 2019
- 2019
- [j20]Zheng Gong, Xi Zheng, Haijun Zhang, Peng Dai, Xiaojie Wu, Ming Li:
A QPR-Based Low-Complexity Input Current Control Strategy for the Indirect Matrix Converters With Unity Grid Power Factor. IEEE Access 7: 38766-38777 (2019) - [j19]Rui Ding, Jian Yin, Peng Dai, Lu Jiao, Rong Li, Tongfei Li, Jianjun Wu:
Optimal Topology of Multilayer Urban Traffic Networks. Complex. 2019: 4230981:1-4230981:19 (2019) - [j18]Shangping Zhong, Cunmin Jia, Kaizhi Chen, Peng Dai:
A novel steganalysis method with deep learning for different texture complexity images. Multim. Tools Appl. 78(7): 8017-8039 (2019) - [j17]Zheng Gong, Xiaojie Wu, Peng Dai, Rongwu Zhu:
Modulated Model Predictive Control for MMC-Based Active Front-End Rectifiers Under Unbalanced Grid Conditions. IEEE Trans. Ind. Electron. 66(3): 2398-2409 (2019) - [j16]Peng Dai, Xue Wang, Weihang Zhang, Junfeng Chen:
Instance Segmentation Enabled Hybrid Data Association and Discriminative Hashing for Online Multi-Object Tracking. IEEE Trans. Multim. 21(7): 1709-1723 (2019) - [j15]Peng Dai, Yuan Yang, Manyi Wang, Ruqiang Yan:
Combination of DNN and Improved KNN for Indoor Location Fingerprinting. Wirel. Commun. Mob. Comput. 2019: 4283857:1-4283857:9 (2019) - [c29]Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo:
Deep Dynamic Fusion Network for Traffic Accident Forecasting. CIKM 2019: 2673-2681 - [c28]Bangyi Dong, Qingyong Li, Jianzhu Wang, Wei Huang, Peng Dai, Shengchun Wang:
An End-to-End Abnormal Fastener Detection Method Based on Data Synthesis. ICTAI 2019: 149-156 - [i3]Yuxiang Ren, Bo Liu, Chao Huang, Peng Dai, Liefeng Bo, Jiawei Zhang:
Heterogeneous Deep Graph Infomax. CoRR abs/1911.08538 (2019) - [i2]Peng Dai, Yinda Zhang, Zhuwen Li, Shuaicheng Liu, Bing Zeng:
Neural Point Cloud Rendering via Multi-Plane Projection. CoRR abs/1912.04645 (2019) - [i1]Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo:
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. CoRR abs/1912.11113 (2019) - 2018
- [j14]Qingyong Li, Zhiping Shi, Huayan Zhang, Yunqiang Tan, Shengwei Ren, Peng Dai, Weiyi Li:
A cyber-enabled visual inspection system for rail corrugation. Future Gener. Comput. Syst. 79: 374-382 (2018) - [j13]Peng Dai, Xue Wang, Weihang Zhang:
Coarse-to-fine multiview 3d face reconstruction using multiple geometrical features. Multim. Tools Appl. 77(1): 939-966 (2018) - [j12]Peng Dai, Xue Wang, Weihang Zhang, Pengbo Zhang, Wei You:
Implicit relative attribute enabled cross-modality hashing for face image-video retrieval. Multim. Tools Appl. 77(18): 23547-23577 (2018) - [c27]Zhihang Ren, Peng Dai, Shuaicheng Liu, Shuyuan Zhu, Bing Zeng:
Coding Trajectory: Enable Video Coding for Video Denoising. ICIP 2018: 3224-3228 - [c26]Peng Dai, Yuan Yang, Chenchen Zhang, Xiaoyu Bao, Han Zhang, Yi Zhang:
Analysis of Target Detection Based on UWB NLOS Ranging Modeling. UPINLBS 2018: 1-6 - 2017
- [j11]Peng Dai, Shengchun Wang, Yaping Huang, Hao Wang, Xinyu Du, Qiang Han:
Visual Indexing of Large Scale Train-Borne Video for Rail Condition Perceiving. IEICE Trans. Inf. Syst. 100-D(9): 2017-2026 (2017) - [j10]Yun Zhang, Yiqiang Zhao, Peng Dai:
Study of Split Capacitor DAC Mismatch and Calibration in SAR-ADC. J. Circuits Syst. Comput. 26(1): 1750003:1-1750003:19 (2017) - [c25]Peng Dai, Femida Gwadry-Sridhar, Michael Bauer, Michael Borrie, Xue Teng:
Healthy Cognitive Aging: A Hybrid Random Vector Functional-Link Model for the Analysis of Alzheimer's Disease. AAAI 2017: 4567-4573 - [c24]Xinyu Du, Peng Dai, Shengchun Wang, Yu Cheng, Dan Wu:
Coupled Wilson-Cowan Oscillator Model with Double-Node for Image Enhancement. BigMM 2017: 129-133 - [c23]Min Li, Zheng Gong, Hanzhe Wang, Peng Dai, Wei Chen:
A fault tolerant control for modular multilevel converter under submodule fault conditions. IECON 2017: 3155-3160 - 2016
- [j9]Zheng Gong, Peng Dai, Xibo Yuan, Xiaojie Wu, Guosheng Guo:
Design and Experimental Evaluation of Fast Model Predictive Control for Modular Multilevel Converters. IEEE Trans. Ind. Electron. 63(6): 3845-3856 (2016) - [j8]Yonglei Zhang, Xiaojie Wu, Xibo Yuan, Yingjie Wang, Peng Dai:
Fast Model Predictive Control for Multilevel Cascaded H-Bridge STATCOM With Polynomial Computation Time. IEEE Trans. Ind. Electron. 63(8): 5231-5243 (2016) - [j7]Shuguang Han, Peng Dai, Praveen K. Paritosh, David Huynh:
Crowdsourcing Human Annotation on Web Page Structure: Infrastructure Design and Behavior-Based Quality Control. ACM Trans. Intell. Syst. Technol. 7(4): 56:1-56:25 (2016) - [c22]Peng Dai, Femida Gwadry-Sridhar, Michael Bauer, Michael Borrie:
Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer's Disease. AAAI 2016: 3944-3950 - [c21]Qingyong Li, Yunqiang Tan, Huayan Zhang, Shengwei Ren, Peng Dai, Weiyi Li:
A Visual Inspection System for Rail Corrugation Based on Local Frequency Features. DASC/PiCom/DataCom/CyberSciTech 2016: 18-23 - [c20]Peng Dai, Xue Wang, Yuqi Tan, Pengbo Zhang, Xuanping Li:
Adaptive recursive optimized extrinsic self-calibration in distributed visual sensor networks. I2MTC 2016: 1-6 - [c19]Pengbo Zhang, Xue Wang, Xuanping Li, Peng Dai:
EEG feature selection based on weighted-normalized mutual information for mental fatigue classification. I2MTC 2016: 1-6 - [c18]Shuo Chang, Peng Dai, Lichan Hong, Cheng Sheng, Tianjiao Zhang, Ed H. Chi:
AppGrouper: Knowledge-based Interactive Clustering Tool for App Search Results. IUI 2016: 348-358 - 2015
- [j6]Peng Dai, Jenhui Chen, Yiqiang Zhao, Yen-Han Lai:
A study of a wire-wireless hybrid NoC architecture with an energy-proportional multicast scheme for energy efficiency. Comput. Electr. Eng. 45: 402-416 (2015) - [j5]Peng Dai, Yiqiang Zhao, Yun Sheng, Yun Zhang:
A self-calibration method for capacitance mismatch in SAR ADC with split-capacitor DAC. Microelectron. J. 46(6): 431-438 (2015) - [c17]Peng Dai, Femida Gwadry-Sridhar, Michael Bauer, Michael Borrie:
A hybrid manifold learning algorithm for the diagnosis and prognostication of Alzheimer's disease. AMIA 2015 - [c16]Peng Dai, Jeffrey M. Rzeszotarski, Praveen K. Paritosh, Ed H. Chi:
And Now for Something Completely Different: Improving Crowdsourcing Workflows with Micro-Diversions. CSCW 2015: 628-638 - [c15]Jenhui Chen, Peng Dai:
Multicast Transmission with Energy-Proportional Power-Gating Scheme for Wireless Interconnects NoC. GLOBECOM Workshops 2015: 1-6 - [c14]Shuo Chang, Peng Dai, Jilin Chen, Ed Huai-hsin Chi:
Got Many Labels?: Deriving Topic Labels from Multiple Sources for Social Media Posts using Crowdsourcing and Ensemble Learning. WWW (Companion Volume) 2015: 397-406 - 2014
- [j4]Shengchun Wang, Siwei Luo, Yaping Huang, Jiang Yu Zheng, Peng Dai, Qiang Han:
Railroad online: acquiring and visualizing route panoramas of rail scenes. Vis. Comput. 30(9): 1045-1057 (2014) - [c13]Peng Dai, Kang Zhou, Zhiwei Wei, Di Hu, Chun Liu:
Simulation DNA Algorithm. BIC-TA 2014: 83-87 - [c12]Wen Jin Rong, Kang Zhou, Peng Dai, Song Ping Li, Wei Tan:
Public Traffic Network Simulation System. BIC-TA 2014: 336-340 - 2013
- [j3]Yongtao Hao, Peng Dai, Diming Liu:
The Complex Product Design Modeling Based on Spatial Sequence Colored Petri-nets. J. Softw. 8(8): 1818-1826 (2013) - [c11]Shengchun Wang, Siwei Luo, Yaping Huang, Jiang Yu Zheng, Peng Dai, Qiang Han:
Rendering Railway Scenes in Cyberspace Based on Route Panoramas. CW 2013: 12-19 - [c10]Jeffrey M. Rzeszotarski, Ed H. Chi, Praveen K. Paritosh, Peng Dai:
Inserting Micro-Breaks into Crowdsourcing Workflows. HCOMP (Works in Progress / Demos) 2013
2000 – 2009
- 2009
- [j2]Peng Dai, Huijun Di, Ligeng Dong, Linmi Tao, Guangyou Xu:
Group Interaction Analysis in Dynamic Context. IEEE Trans. Syst. Man Cybern. Part B 39(1): 34-42 (2009) - 2008
- [j1]Peng Dai, Huijun Di, Ligeng Dong, Linmi Tao, Guangyou Xu:
Group Interaction Analysis in Dynamic Context. IEEE Trans. Syst. Man Cybern. Part B 38(1): 275-282 (2008) - [c9]Luo Sun, Peng Dai, Linmi Tao, Guangyou Xu:
A context representation and management mechanism towards ubiquitous intelligence. CIT 2008: 809-814 - [c8]Luo Sun, Peng Dai, Linmi Tao, Guangyou Xu:
A Generic Context Information System for Intelligent Vision Applications. ICCS (1) 2008: 759-769 - [c7]Mingxin Nie, Peng Dai:
A Novel RS+Convolutional Concatenated Code in VHF Communication System. ICNSC 2008: 736-738 - [c6]Peng Dai, Guangyou Xu:
Context-aware computing for assistive meeting system. PETRA 2008: 4 - 2007
- [c5]Peng Dai, Eric A. Hansen:
Prioritizing Bellman Backups without a Priority Queue. ICAPS 2007: 113-119 - [c4]Peng Dai, Linmi Tao, Xiang Zhang, Ligeng Dong, Guangyou Xu:
An Adaptive Vision System Toward Implicit Human Computer Interaction. HCI (6) 2007: 792-801 - [c3]Peng Dai, Linmi Tao, Guangyou Xu:
Audio-Visual Fused Online Context Analysis Toward Smart Meeting Room. UIC 2007: 868-877 - [c2]Peng Dai, Linmi Tao, Guangyou Xu:
Dynamic context driven human detection and tracking in meeting scenarios. VISAPP (Special Sessions) 2007: 31-40 - 2006
- [c1]Peng Dai, Guangyou Xu, Thomas Riegel, Eckart Hundt:
Automatic Face Modeling and Synthesis Based on Image Pairs. ICVS 2006: 18
Coauthor Index
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