Pan Zhou

According to our database1, Pan Zhou authored at least 94 papers between 2007 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
A Novel Task-Duplication Based Clustering Algorithm for Heterogeneous Computing Environments.
IEEE Trans. Parallel Distrib. Syst., 2019

Differentially-Private and Trustworthy Online Social Multimedia Big Data Retrieval in Edge Computing.
IEEE Trans. Multimedia, 2019

Video Big Data Retrieval Over Media Cloud: A Context-Aware Online Learning Approach.
IEEE Trans. Multimedia, 2019

Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning.
IEEE/ACM Trans. Comput. Biology Bioinform., 2019

CLU-CNNs: Object detection for medical images.
Neurocomputing, 2019

On Cooperative Channel Rendezvous in Cognitive Radio Networks.
IEEE Access, 2019

k-Reciprocal Harmonious Attention Network for Video-Based Person Re-Identification.
IEEE Access, 2019

A Hybrid Genetic Algorithm on Routing and Scheduling for Vehicle-Assisted Multi-Drone Parcel Delivery.
IEEE Access, 2019

A 3D-CNN and LSTM Based Multi-Task Learning Architecture for Action Recognition.
IEEE Access, 2019

Periodic Charging for Wireless Sensor Networks With Multiple Portable Chargers.
IEEE Access, 2019

Task Relation Networks.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Adversarial Category Alignment Network for Cross-domain Sentiment Classification.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Generalized Majorization-Minimization for Non-Convex Optimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

NFV-Enabled Multicasting in Mobile Edge Clouds with Resource Sharing.
Proceedings of the 48th International Conference on Parallel Processing, 2019

Online Learning for Context-Aware Multi-User Package Delivery System with Unmanned Vehicles.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Optimization of Precoded FTN Signaling with MMSE-Based Turbo Equalization.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Modality Attention for End-to-end Audio-visual Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Spatio-Temporal Edge Service Placement: A Bandit Learning Approach.
IEEE Trans. Wireless Communications, 2018

Pure-Exploration Bandits for Channel Selection in Mission-Critical Wireless Communications.
IEEE Trans. Vehicular Technology, 2018

On Optimality of Second-Highest Policy for Opportunistic Multichannel Access.
IEEE Trans. Vehicular Technology, 2018

Privacy-Preserving Collaborative Model Learning: The Case of Word Vector Training.
IEEE Trans. Knowl. Data Eng., 2018

Differentially Private Distributed Online Learning.
IEEE Trans. Knowl. Data Eng., 2018

Proxy-Assisted Regenerating Codes With Uncoded Repair for Distributed Storage Systems.
IEEE Trans. Information Theory, 2018

Tensor Factorization for Low-Rank Tensor Completion.
IEEE Trans. Image Processing, 2018

Early Fault Detection Approach With Deep Architectures.
IEEE Trans. Instrumentation and Measurement, 2018

Adaptive Fog Configuration for the Industrial Internet of Things.
IEEE Trans. Industrial Informatics, 2018

Accurate Content Push for Content-Centric Social Networks: A Big Data Support Online Learning Approach.
IEEE Trans. Emerging Topics in Comput. Intellig., 2018

Relay Selection for Multi-Channel Cooperative Multicast: Lexicographic Max-Min Optimization.
IEEE Trans. Communications, 2018

Spatial Pyramid Pooling Mechanism in 3D Convolutional Network for Sentence-Level Classification.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2018

Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges.
IEEE Signal Process. Mag., 2018

Robust discrete code modeling for supervised hashing.
Pattern Recognition, 2018

Dictionary learning with structured noise.
Neurocomputing, 2018

On heterogeneous duty cycles for neighbor discovery in wireless sensor networks.
Ad Hoc Networks, 2018

DA-Net: Learning the Fine-Grained Density Distribution With Deformation Aggregation Network.
IEEE Access, 2018

Robust Caching Control in Crowdsourced Content-Centric Mobile Networking.
IEEE Access, 2018

Tree-Based Contextual Learning for Online Job or Candidate Recommendation With Big Data Support in Professional Social Networks.
IEEE Access, 2018

Efficient Stochastic Gradient Hard Thresholding.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Generalized Optimal Storage Scaling via Network Coding.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

InPrivate Digging: Enabling Tree-based Distributed Data Mining with Differential Privacy.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Toward Optimal Storage Scaling via Network Coding: From Theory to Practice.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Course recommendation of MOOC with big data support: A contextual online learning approach.
Proceedings of the IEEE INFOCOM 2018, 2018

Understanding Generalization and Optimization Performance of Deep CNNs.
Proceedings of the 35th International Conference on Machine Learning, 2018

Empirical Risk Landscape Analysis for Understanding Deep Neural Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Deep Adversarial Subspace Clustering.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

T-PriDO: A Tree-based Privacy-Preserving and Contextual Collaborative Online Big Data Processing System.
Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018

Contextual Online Learning Selection of Finite State Machines for Mobile Robots.
Proceedings of the 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2018

2017
Optimal Repair Layering for Erasure-Coded Data Centers: From Theory to Practice.
TOS, 2017

Bilevel Model-Based Discriminative Dictionary Learning for Recognition.
IEEE Trans. Image Processing, 2017

Near-Optimal and Practical Jamming-Resistant Energy-Efficient Cognitive Radio Communications.
IEEE Trans. Information Forensics and Security, 2017

Energy Efficient Scheduling for Delay-Constrained Spectrum Aggregation: A Differentiated Water-Filling Approach.
TGCN, 2017

Feature learning via partial differential equation with applications to face recognition.
Pattern Recognition, 2017

Private and Truthful Aggregative Game for Large-Scale Spectrum Sharing.
IEEE Journal on Selected Areas in Communications, 2017

Simulation and analysis of point-to-grid connection of half-wavelength AC transmission.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Social Intimacy Based IoT Services Mining of Massive Data.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Dynamic Slot-Length Control for Reducing Neighbor Discovery Latency in Wireless Sensor Networks.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Nonuniform Subband Superposed OFDM with Variable Granularity Spectrum Allocation for 5G.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Job and Candidate Recommendation with Big Data Support: A Contextual Online Learning Approach.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Content Caching Clustering Based on Piecewise Interest Similarity.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Outlier-Robust Tensor PCA.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Toward Optimal Adaptive Wireless Communications in Unknown Environments.
IEEE Trans. Wireless Communications, 2016

Integrated Low-Rank-Based Discriminative Feature Learning for Recognition.
IEEE Trans. Neural Netw. Learning Syst., 2016

Differentially Private Online Learning for Cloud-Based Video Recommendation With Multimedia Big Data in Social Networks.
IEEE Trans. Multimedia, 2016

Shortest Path Routing in Unknown Environments: Is the Adaptive Optimal Strategy Available?
Proceedings of the 13th Annual IEEE International Conference on Sensing, 2016

Distributed Learning for Multi-Channel Selection in Wireless Network Monitoring.
Proceedings of the 13th Annual IEEE International Conference on Sensing, 2016

Distributed private online learning for social big data computing over data center networks.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

On diffusion-restricted social network: A measurement study of WeChat moments.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

Clinical decision support for Alzheimer's disease based on deep learning and brain network.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

2015
State-Clustering Based Multiple Deep Neural Networks Modeling Approach for Speech Recognition.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2015

Distributed exploration bandit for dynamic spectrum access.
Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015

Differential privacy and distributed online learning for wireless big data.
Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015

A Convolutional Neural Network for Leaves Recognition Using Data Augmentation.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

Sentiment Analysis Using Convolutional Neural Network.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

An Efficient Method for Document Categorization Based on Word2vec and Latent Semantic Analysis.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014
Design and implementation of a flexible DMA controller in video codec system.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Sequence training of multiple deep neural networks for better performance and faster training speed.
Proceedings of the IEEE International Conference on Acoustics, 2014

Improving deep neural networks for LVCSR using dropout and shrinking structure.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
A cluster-based multiple deep neural networks method for large vocabulary continuous speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Reinforcement Learning for Repeated Power Control Game in Cognitive Radio Networks.
IEEE Journal on Selected Areas in Communications, 2012

2011
Power control and capacity analysis in cognitive radio networks.
PhD thesis, 2011

Asynchronous Power Control Game with Channel Outage Constraints in Cognitive Radio Networks.
Proceedings of IEEE International Conference on Communications, 2011

2010
Capacity and Delay Scaling in Cognitive Radio Ad Hoc Networks: Impact of Primary User Activity.
Proceedings of the Global Communications Conference, 2010

Learning through Reinforcement for Repeated Power Control Game in Cognitive Radio Networks.
Proceedings of the Global Communications Conference, 2010

2009
Application of fuzzy neural network controller in hydropower generator unit.
Kybernetes, 2009

An energy-efficient cooperative MISO-based routing protocol for wireless sensor networks.
Proceedings of the 2009 IEEE Wireless Communications and Networking Conference, 2009

Cross-Layer Congestion Control and Scheduling in Multi-Hop OFDMA Wireless Networks.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

2008
Energy-Efficient Joint Power and Rate Control via Pricing in Wireless Data Networks.
Proceedings of the WCNC 2008, IEEE Wireless Communications & Networking Conference, March 31 2008, 2008

A Joint Utility-Lifetime Optimization Algorithm for Cooperative MIMO Sensor Networks.
Proceedings of the WCNC 2008, IEEE Wireless Communications & Networking Conference, March 31 2008, 2008

Joint Power and Rate Control in Cognitive Radio Networks: A Game-Theoretical Approach.
Proceedings of IEEE International Conference on Communications, 2008

2007
A V-BLAST Based Virtual MIMO Transmission Scheme for Sensor Network Lifetime Maximization.
Proceedings of the 66th IEEE Vehicular Technology Conference, 2007

An Energy-efficient Multihop Cooperative Transmission Protocol Design for Sensor Networks.
Proceedings of the 32nd Annual IEEE Conference on Local Computer Networks (LCN 2007), 2007


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