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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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.
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2020 – today
- 2022
[j58]Zhichao Fu, Yingbin Zheng, Tianlong Ma, Hao Ye, Jing Yang, Liang He:
Edge-aware deep image deblurring. Neurocomputing 502: 37-47 (2022)- [d3]Juniper Simonis
, Glenda Yenni, Ellen Bledsoe, Erica Christensen, Henry Senyondo, Shawn D. Taylor, Hao Ye, Ethan P. White, S. K. Morgan Ernest:
portalcasting: Supporting automated forecasting of rodent populations. J. Open Source Softw. 7(72): 3220 (2022) - [j57]Hao Ye, Le Liang, Geoffrey Ye Li:
Decentralized Federated Learning With Unreliable Communications. IEEE J. Sel. Top. Signal Process. 16(3): 487-500 (2022) - 2021
- [b1]Hao Ye:
Deep Learning based Intelligent Wireless Communication System. Georgia Institute of Technology, Atlanta, GA, USA, 2021 - [j56]Chao Shang, Steven X. Ding, Hao Ye:
Distributionally robust fault detection design and assessment for dynamical systems. Autom. 125: 109434 (2021) - [j55]Fangyan Ye, Yingbin Zheng, Hao Ye, Xiaohao Han, Yuxin Li, Jun Wang, Jian Pu:
Parallel pathway dense neural network with weighted fusion structure for brain tumor segmentation. Neurocomputing 425: 1-11 (2021) - [j54]Xingjiao Wu, Yingbin Zheng, Tianlong Ma, Hao Ye, Liang He:
Document image layout analysis via explicit edge embedding network. Inf. Sci. 577: 436-448 (2021) - [d2]Henry Senyondo, Daniel J. McGlinn, Pranita Sharma, David J. Harris, Hao Ye, Shawn D. Taylor, Jeroen Ooms, Francisco J. Rodríguez-Sanchez, Karthik Ram, Apoorva Pandey, Harshit Bansal, Max Pohlman, Ethan P. White:
Rdataretriever: R Interface to the Data Retriever. J. Open Source Softw. 6(57): 2800 (2021) - [j53]Hao Ye, Geoffrey Ye Li, Biing-Hwang Juang:
Deep Learning Based End-to-End Wireless Communication Systems Without Pilots. IEEE Trans. Cogn. Commun. Netw. 7(3): 702-714 (2021) - [j52]Zhijin Qin, Geoffrey Ye Li, Hao Ye:
Federated Learning and Wireless Communications. IEEE Wirel. Commun. 28(5): 134-140 (2021) - [c67]Chuan Wan, Tongshuai Zhang, Zhihua Xiong, Hao Ye:
Representation Learning for Fault Diagnosis with Contrastive Predictive Coding. CAA SAFEPROCESS 2021: 1-5 - [c66]Yijie Zhao, Bin Zheng, Hao Ye, Jing Zhong, Haiwei Wang:
Comparison of Data-Based Methods for Selecting Treatment Therapy in Hepatocellular Carcinoma. CAA SAFEPROCESS 2021: 1-5 - [c65]Kai Lei, Hao Ye, Yuzhi Liang, Jing Xiao, Peiwu Chen:
Towards a Translation-Based Method for Dynamic Heterogeneous Network Embedding. ICC 2021: 1-6 - [c64]Zhichao Fu, Tianlong Ma, Liang Xue, Yingbin Zheng, Hao Ye, Liang He:
A Coarse-to-fine Approach for Fast Super-Resolution with Flexible Magnification. MMAsia 2021: 34:1-34:5 - [i29]Hao Ye, Le Liang, Geoffrey Li:
Decentralized Federated Learning with Unreliable Communications. CoRR abs/2108.02397 (2021) - 2020
- [j51]Xingjiao Wu, Shuchen Kong, Yingbin Zheng, Hao Ye, Jing Yang, Liang He:
Feature channel enhancement for crowd counting. IET Image Process. 14(11): 2376-2382 (2020) - [j50]Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Tianlong Ma, Jing Yang, Liang He:
Counting crowds with varying densities via adaptive scenario discovery framework. Neurocomputing 397: 127-138 (2020) - [j49]Xingjiao Wu, Baohan Xu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He:
Fast video crowd counting with a Temporal Aware Network. Neurocomputing 403: 13-20 (2020) - [j48]Le Liang, Hao Ye, Guanding Yu, Geoffrey Ye Li:
Deep-Learning-Based Wireless Resource Allocation With Application to Vehicular Networks. Proc. IEEE 108(2): 341-356 (2020) - [j47]Hao Ye, Dong Wang, Jun Wu, Yi Yue, Yulin Zhou:
Forward and inverse kinematics of a 5-DOF hybrid robot for composite material machining. Robotics Comput. Integr. Manuf. 65: 101961 (2020) - [j46]Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li:
Learn to Compress CSI and Allocate Resources in Vehicular Networks. IEEE Trans. Commun. 68(6): 3640-3653 (2020) - [j45]Zijian Guo, Yiming Wan, Hao Ye:
An Unsupervised Fault-Detection Method for Railway Turnouts. IEEE Trans. Instrum. Meas. 69(11): 8881-8901 (2020) - [j44]Hao Ye, Le Liang, Geoffrey Ye Li, Biing-Hwang Juang:
Deep Learning-Based End-to-End Wireless Communication Systems With Conditional GANs as Unknown Channels. IEEE Trans. Wirel. Commun. 19(5): 3133-3143 (2020) - [c63]Zhao Zhou, Hao Ye, Luhui Chen, Yingbin Zheng:
Detecting Curve Text with Local Segmentation Network and Curve Connection. IEEE BigData 2020: 3374-3379 - [c62]Ziyan He, Liang Wang, Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Resource Allocation based on Graph Neural Networks in Vehicular Communications. GLOBECOM 2020: 1-5 - [c61]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Over-the-Air Computation. GLOBECOM 2020: 1-6 - [c60]Xiangcheng Du, Tianlong Ma, Yingbin Zheng, Hao Ye, Xingjiao Wu, Liang He:
Scene Text Recognition with Temporal Convolutional Encoder. ICASSP 2020: 2383-2387 - [c59]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Bilinear Convolutional Auto-encoder based Pilot-free End-to-end Communication Systems. ICC 2020: 1-6 - [c58]Zijian Guo, Hao Ye, Ming Jiang, Xinya Sun:
An enhanced fault detection method for railway turnouts incorporating prior faulty information. ITSC 2020: 1-6 - [i28]Zhijin Qin, Geoffrey Ye Li, Hao Ye:
Federated Learning and Wireless Communications. CoRR abs/2005.05265 (2020)
2010 – 2019
- 2019
- [j43]Yilin Wang, Hao Ye, Tongshuai Zhang, Haipeng Zhang:
A data mining method based on unsupervised learning and spatiotemporal analysis for sheath current monitoring. Neurocomputing 352: 54-63 (2019) - [j42]Zijian Guo, Yiming Wan, Hao Ye:
A data imputation method for multivariate time series based on generative adversarial network. Neurocomputing 360: 185-197 (2019) - [j41]Le Liang, Hao Ye, Geoffrey Ye Li:
Toward Intelligent Vehicular Networks: A Machine Learning Framework. IEEE Internet Things J. 6(1): 124-135 (2019) - [d1]Erica Christensen, Glenda Yenni, Hao Ye, Juniper Simonis, Ellen Bledsoe, Renata Diaz, Shawn D. Taylor, Ethan P. White, S. K. Morgan Ernest:
portalr: an R package for summarizing and using the Portal Project Data. J. Open Source Softw. 4(33): 1098 (2019) - [j40]Le Liang, Hao Ye, Geoffrey Ye Li:
Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning. IEEE J. Sel. Areas Commun. 37(10): 2282-2292 (2019) - [j39]Baohan Xu, Hao Ye, Yingbin Zheng, Heng Wang, Tianyu Luwang, Yu-Gang Jiang:
Dense Dilated Network for Video Action Recognition. IEEE Trans. Image Process. 28(10): 4941-4953 (2019) - [j38]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Reinforcement Learning Based Resource Allocation for V2V Communications. IEEE Trans. Veh. Technol. 68(4): 3163-3173 (2019) - [j37]Zhijin Qin, Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Learning in Physical Layer Communications. IEEE Wirel. Commun. 26(2): 93-99 (2019) - [c57]Yingbin Zheng, Shuchen Kong, Wanshan Zhu, Hao Ye:
Scalable Document Image Information Extraction with Application to Domain-Specific Analysis. IEEE BigData 2019: 5108-5115 - [c56]Yijie Zhao, Hao Ye, Jing Zhong, Haiwei Wang:
A Decision Tree Based Method for Treatment Therapy of HCC. CAA SAFEPROCESS 2019: 879-883 - [c55]Tingyu Wei, Wenxin Hu, Xingjiao Wu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He:
Aggregating Rich Deep Semantic Features for Fine-Grained Place Classification. ICANN (3) 2019: 55-67 - [c54]Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Adaptive Scenario Discovery for Crowd Counting. ICASSP 2019: 2382-2386 - [c53]Lingfeng Wang, Li Xia, Hao Ye, Ming Jiang, Jia Wang, Yijing Wang:
A Fast Optimization Method for Automatic Train Stop Control. ICCA 2019: 1405-1410 - [c52]Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Cascaded Detail-Preserving Networks for Super-Resolution of Document Images. ICDAR 2019: 240-245 - [c51]Baohan Xu, Yingbin Zheng, Hao Ye, Caili Wu, Heng Wang, Gufei Sun:
Video Emotion Recognition with Concept Selection. ICME 2019: 406-411 - [c50]Caili Wu, Zhao Zhou, Hao Ye, Jing Yang, Liang He:
Math Expression Image Retrieval via Attention-Based Framework. ICTAI 2019: 259-264 - [c49]Le Liang, Hao Ye, Geoffrey Ye Li:
Multi - Agent Reinforcement Learning for Spectrum Sharing in Vehicular Networks. SPAWC 2019: 1-5 - [c48]Hao Ye, Le Liang, Geoffrey Ye Li:
Circular Convolutional Auto-Encoder for Channel Coding. SPAWC 2019: 1-5 - [i27]Hao Ye, Le Liang, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Learning based End-to-End Wireless Communication Systems with Conditional GAN as Unknown Channel. CoRR abs/1903.02551 (2019) - [i26]Zhao Zhou, Shufan Wu, Shuchen Kong, Yingbin Zheng, Hao Ye, Luhui Chen, Jian Pu:
Curve Text Detection with Local Segmentation Network and Curve Connection. CoRR abs/1903.09837 (2019) - [i25]Le Liang, Hao Ye, Geoffrey Ye Li:
Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning. CoRR abs/1905.02910 (2019) - [i24]Xingjiao Wu, Baohan Xu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He:
Video Crowd Counting via Dynamic Temporal Modeling. CoRR abs/1907.02198 (2019) - [i23]Zhichao Fu, Yingbin Zheng, Hao Ye, Yu Kong, Jing Yang, Liang He:
Edge-Aware Deep Image Deblurring. CoRR abs/1907.02282 (2019) - [i22]Le Liang, Hao Ye, Guanding Yu, Geoffrey Ye Li:
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks. CoRR abs/1907.03289 (2019) - [i21]Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li:
Learn to Allocate Resources in Vehicular Networks. CoRR abs/1908.03447 (2019) - [i20]Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li:
Learn to Compress CSI and Allocate Resources in Vehicular Networks. CoRR abs/1908.04685 (2019) - [i19]Xiangcheng Du, Tianlong Ma, Yingbin Zheng, Hao Ye, Xingjiao Wu, Liang He:
Scene Text Recognition with Temporal Convolutional Encoder. CoRR abs/1911.01051 (2019) - [i18]Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Cascaded Detail-Preserving Networks for Super-Resolution of Document Images. CoRR abs/1911.10714 (2019) - 2018
- [j36]Yingbin Zheng, Hao Ye, Li Wang, Jian Pu:
Learning Multiviewpoint Context-Aware Representation for RGB-D Scene Classification. IEEE Signal Process. Lett. 25(1): 30-34 (2018) - [j35]Jianqi Ma, Weiyuan Shao, Hao Ye, Li Wang, Hong Wang, Yingbin Zheng, Xiangyang Xue:
Arbitrary-Oriented Scene Text Detection via Rotation Proposals. IEEE Trans. Multim. 20(11): 3111-3122 (2018) - [j34]Hao Ye, Le Liang, Geoffrey Ye Li, Joonbeom Kim, Lu Lu, May Wu:
Machine Learning for Vehicular Networks: Recent Advances and Application Examples. IEEE Veh. Technol. Mag. 13(2): 94-101 (2018) - [j33]Hao Ye, Geoffrey Ye Li, Biing-Hwang Juang:
Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems. IEEE Wirel. Commun. Lett. 7(1): 114-117 (2018) - [c47]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang, Kathiravetpillai Sivanesan:
Channel Agnostic End-to-End Learning Based Communication Systems with Conditional GAN. GLOBECOM Workshops 2018: 1-5 - [c46]Hao Ye, Geoffrey Ye Li:
Deep Reinforcement Learning for Resource Allocation in V2V Communications. ICC 2018: 1-6 - [c45]Zijian Guo, Hao Ye, Wei Dong, Xiang Yan, Yindong Ji:
A Fault Detection Method for Railway Point Machine Operations Based On Stacked Autoencoders. ICAC 2018: 1-6 - [c44]Jian Pu, Yingbin Zheng, Hao Ye:
Single-image Super-resolution via De-biased Sparse Representation. IPTA 2018: 1-5 - [c43]Xiaoli Ma, Hao Ye, Ye (Geoffrey) Li:
Learning Assisted Estimation for Time-Varying Channels. ISWCS 2018: 1-5 - [c42]Hao Ye, Geoffrey Ye Li:
Deep Reinforcement Learning based Distributed Resource Allocation for V2V Broadcasting. IWCMC 2018: 440-445 - [c41]Baohan Xu, Hao Ye, Yingbin Zheng, Heng Wang, Tianyu Luwang, Yu-Gang Jiang:
Dense Dilated Network for Few Shot Action Recognition. ICMR 2018: 379-387 - [c40]Haonan Qiu, Yingbin Zheng, Hao Ye, Yao Lu, Feng Wang, Liang He:
Precise Temporal Action Localization by Evolving Temporal Proposals. ICMR 2018: 388-396 - [c39]Zhao Zhou, Yingbin Zheng, Hao Ye, Jian Pu, Gufei Sun:
Satellite Image Scene Classification via ConvNet With Context Aggregation. PCM (2) 2018: 329-339 - [i17]Le Liang, Hao Ye, Geoffrey Ye Li:
Towards Intelligent Vehicular Networks: A Machine Learning Framework. CoRR abs/1804.00338 (2018) - [i16]Haonan Qiu, Yingbin Zheng, Hao Ye, Yao Lu, Feng Wang, Liang He:
Precise Temporal Action Localization by Evolving Temporal Proposals. CoRR abs/1804.04803 (2018) - [i15]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Reinforcement Learning based Resource Allocation for V2V Communications. CoRR abs/1805.07222 (2018) - [i14]Li Wang, Weiyuan Shao, Yao Lu, Hao Ye, Jian Pu, Yingbin Zheng:
Crowd Counting with Density Adaption Networks. CoRR abs/1806.10040 (2018) - [i13]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang, Kathiravetpillai Sivanesan:
Channel Agnostic End-to-End Learning based Communication Systems with Conditional GAN. CoRR abs/1807.00447 (2018) - [i12]Zhijin Qin, Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Learning in Physical Layer Communications. CoRR abs/1807.11713 (2018) - [i11]Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Adaptive Scenario Discovery for Crowd Counting. CoRR abs/1812.02393 (2018) - 2017
- [j32]Tianyang Zhang, Peng Cui, Christos Faloutsos, Yunfei Lu, Hao Ye, Wenwu Zhu, Shiqiang Yang:
comeNgo: A Dynamic Model for Social Group Evolution. ACM Trans. Knowl. Discov. Data 11(4): 41:1-41:22 (2017) - [c38]Siwei Lyu, Ming-Ching Chang, Dawei Du, Longyin Wen, Honggang Qi, Yuezun Li, Yi Wei, Lipeng Ke, Tao Hu, Marco Del Coco, Pierluigi Carcagnì, Dmitriy Anisimov, Erik Bochinski, Fabio Galasso, Filiz Bunyak, Guang Han, Hao Ye, Hong Wang, Kannappan Palaniappan, Koray Ozcan, Li Wang, Liang Wang, Martin Lauer, Nattachai Watcharapinchai, Nenghui Song, Noor M. Al-Shakarji, Shuo Wang, Sikandar Amin, Sitapa Rujikietgumjorn, Tatiana Khanova, Thomas Sikora, Tino Kutschbach, Volker Eiselein, Wei Tian, Xiangyang Xue, Xiaoyi Yu, Yao Lu, Yingbin Zheng, Yongzhen Huang, Yuqi Zhang:
UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring. AVSS 2017: 1-7 - [c37]Jian Pu, Jun Wang, Yingbin Zheng, Hao Ye, Weiwei Shen, Yuxin Li, Hongyuan Zha:
Boosting Alzheimer diagnosis accuracy with the help of incomplete privileged information. BIBM 2017: 595-599 - [c36]Renming Pang, Hao Ye:
A new PCA similarity factor based on elliptical principal angle. ICCA 2017: 776-781 - [c35]Li Wang, Yao Lu, Hong Wang, Yingbin Zheng, Hao Ye, Xiangyang Xue:
Evolving boxes for fast vehicle detection. ICME 2017: 1135-1140 - [c34]Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu, Tat-Seng Chua:
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks. IJCAI 2017: 3119-3125 - [c33]Yingbin Zheng, Jian Pu, Hong Wang, Hao Ye:
Indoor Scene Classification by Incorporating Predicted Depth Descriptor. PCM (2) 2017: 13-23 - [c32]Yilin Wang, Tongshuai Zhang, Hao Ye, Ling Wang:
A correlation-based bi-partition hierarchical clustering method for mode identification of multimode processes. SMC 2017: 1645-1650 - [c31]Hao Ye, Geoffrey Ye Li:
Initial Results on Deep Learning for Joint Channel Equalization and Decoding. VTC Fall 2017: 1-5 - [i10]Li Wang, Yao Lu, Hong Wang, Yingbin Zheng, Hao Ye, Xiangyang Xue:
Evolving Boxes for fast Vehicle Detection. CoRR abs/1702.00254 (2017) - [i9]Jianqi Ma, Weiyuan Shao, Hao Ye, Li Wang, Hong Wang, Yingbin Zheng, Xiangyang Xue:
Arbitrary-Oriented Scene Text Detection via Rotation Proposals. CoRR abs/1703.01086 (2017) - [i8]Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu, Tat-Seng Chua:
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks. CoRR abs/1708.04617 (2017) - [i7]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems. CoRR abs/1708.08514 (2017) - [i6]Hao Ye, Geoffrey Ye Li:
Deep Reinforcement Learning for Resource Allocation in V2V Communications. CoRR abs/1711.00968 (2017) - [i5]Hao Ye, Le Liang, Geoffrey Ye Li, Joonbeom Kim, Lu Lu, May Wu:
Machine Learning for Vehicular Networks. CoRR abs/1712.07143 (2017) - 2016
- [j31]Hui Zhao, Hao Ye, Ruyan Wang:
The construction of measurement matrices based on block weighing matrix in compressed sensing. Signal Process. 123: 64-74 (2016) - [c30]Tongshuai Zhang, Wei Wang, Hao Ye, Dexian Huang, Haifeng Zhang, Mingliang Li:
Fault detection for ironmaking process based on stacked denoising autoencoders. ACC 2016: 3261-3267 - [c29]Weiyuan Shao, Hong Wang, Yingbin Zheng, Hao Ye:
Compact Face Representation via Forward Model Selection. CCBR 2016: 112-120 - [c28]Jun Chen, Hao Ye, Chao Tian, Tie Liu, Zhiqing Xiao:
Cyclically symmetric entropy inequalities. ISIT 2016: 2299-2303 - [c27]Tianyang Zhang, Peng Cui, Christos Faloutsos, Yunfei Lu, Hao Ye, Wenwu Zhu, Shiqiang Yang:
Come-and-Go Patterns of Group Evolution: A Dynamic Model. KDD 2016: 1355-1364 - [c26]Zuxuan Wu, Yu-Gang Jiang, Xi Wang, Hao Ye, Xiangyang Xue:
Multi-Stream Multi-Class Fusion of Deep Networks for Video Classification. ACM Multimedia 2016: 791-800 - [c25]Hao Ye, Weiyuan Shao, Hong Wang, Jianqi Ma, Li Wang, Yingbin Zheng, Xiangyang Xue:
Face Recognition via Active Annotation and Learning. ACM Multimedia 2016: 1058-1062 - [c24]Hao Ye, Zhi Zhang:
Concatenations of systematic polar codes with inner repeat accumulate codes. WOCC 2016: 1-4 - [c23]Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft:
The Lifecycle and Cascade of WeChat Social Messaging Groups. WWW 2016: 311-320 - 2015
- [j30]Hao Wu, Wei Wang, Hao Ye:
Robust state estimation for linear systems with parametric uncertainties and quantised measurements. Int. J. Syst. Sci. 46(3): 526-534 (2015) - [c22]Hao Ye, Hiroyuki Kitagawa, Jun Xiao:
Continuous Angle-based Outlier Detection on High-dimensional Data Streams. IDEAS 2015: 162-167 - [c21]Hao Ye, Zuxuan Wu, Rui-Wei Zhao, Xi Wang, Yu-Gang Jiang, Xiangyang Xue:
Evaluating Two-Stream CNN for Video Classification. ICMR 2015: 435-442 - [c20]Zuxuan Wu, Xi Wang, Yu-Gang Jiang, Hao Ye, Xiangyang Xue:
Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification. ACM Multimedia 2015: 461-470 - [c19]Zuxuan Wu, Hao Ye, Yu-Gang Jiang, Xiangyang Xue:
Fudan at TRECVID 2015: Adaptive Feature Fusion for Multimedia Event Detection in Videos. TRECVID 2015 - [i4]Zuxuan Wu, Xi Wang, Yu-Gang Jiang, Hao Ye, Xiangyang Xue:
Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification. CoRR abs/1504.01561 (2015) - [i3]Hao Ye, Zuxuan Wu, Rui-Wei Zhao, Xi Wang, Yu-Gang Jiang, Xiangyang Xue:
Evaluating Two-Stream CNN for Video Classification. CoRR abs/1504.01920 (2015) - [i2]Zuxuan Wu, Yu-Gang Jiang, Xi Wang, Hao Ye, Xiangyang Xue, Jun Wang:
Fusing Multi-Stream Deep Networks for Video Classification. CoRR abs/1509.06086 (2015) - [i1]Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft:
The Lifecycle and Cascade of Social Messaging Groups. CoRR abs/1512.07831 (2015) - 2014
- [j29]Bo Zhou, Wei Wang, Hao Ye:
Cooperative control for consensus of multi-agent systems with actuator faults. Comput. Electr. Eng. 40(7): 2154-2166 (2014) - [j28]Yiming Wan, Wei Wang, Hao Ye:
Discrete time-varying fault detection filter for non-uniformly sampled-data systems. Sci. China Inf. Sci. 57(3): 1-11 (2014) - [j27]Cong Zhang, Zhihua Xiong, Hao Ye:
Informative conditions for the data set in an MIMO networked control system with delays, packet dropout and transmission scheduling. Int. J. Syst. Sci. 45(7): 1346-1355 (2014) - [c18]Bo Zhou, Wei Wang, Hao Ye:
Distributed consensus tracking control of linear multi-agent systems with actuator faults. CCA 2014: 2141-2146 - 2013
- [j26]