Pan Zhou

According to our database1, Pan Zhou authored at least 325 papers between 2007 and 2022.

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Bibliography

2022
Codee: A Tensor Embedding Scheme for Binary Code Search.
IEEE Trans. Software Eng., 2022

NCScale: Toward Optimal Storage Scaling via Network Coding.
IEEE/ACM Trans. Netw., 2022

Delay-Optimal Edge Caching With Imperfect Content Fetching via Stochastic Learning.
IEEE Trans. Netw. Serv. Manag., 2022

Beamer: Stage-Aware Coflow Scheduling to Accelerate Hyper-Parameter Tuning in Deep Learning Clusters.
IEEE Trans. Netw. Serv. Manag., 2022

Optimizing the Age of Information for Multi-Source Information Update in Internet of Things.
IEEE Trans. Netw. Sci. Eng., 2022

Memristor-Based Edge Computing of Blaze Block for Image Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2022

PrivacyEye: A Privacy-Preserving and Computationally Efficient Deep Learning-Based Mobile Video Analytics System.
IEEE Trans. Mob. Comput., 2022

Differentially Private Triangle Counting in Large Graphs.
IEEE Trans. Knowl. Data Eng., 2022

Attend to Where and When: Cascaded Attention Network for Facial Expression Recognition.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Privacy-Preserving Context-Based Electric Vehicle Dispatching for Energy Scheduling in Microgrids: An Online Learning Approach.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Unbalanced Incomplete Multi-View Clustering Via the Scheme of View Evolution: Weak Views are Meat; Strong Views Do Eat.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Multi-Crop Convolutional Neural Networks for Fast Lung Nodule Segmentation.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

A Large-Scale Empirical Study on the Vulnerability of Deployed IoT Devices.
IEEE Trans. Dependable Secur. Comput., 2022

Detecting and Mitigating DDoS Attacks in SDN Using Spatial-Temporal Graph Convolutional Network.
IEEE Trans. Dependable Secur. Comput., 2022

Energy-Aware Collaborative Service Caching in a 5G-Enabled MEC With Uncertain Payoffs.
IEEE Trans. Commun., 2022

ANIMC: A Soft Approach for Autoweighted Noisy and Incomplete Multiview Clustering.
IEEE Trans. Artif. Intell., 2022

Efficient Secure and Verifiable Location-Based Skyline Queries over Encrypted Data.
Proc. VLDB Endow., 2022

User-based network embedding for opinion spammer detection.
Pattern Recognit., 2022

A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Optimal Myopic Policy for Restless Bandit: A Perspective of Eigendecomposition.
IEEE J. Sel. Top. Signal Process., 2022

Cost-Efficient and Skew-Aware Data Scheduling for Incremental Learning in 5G Networks.
IEEE J. Sel. Areas Commun., 2022

Blockchain-Governed Federated Transfer Learning for Secure Internet of Drones Networks.
IEEE Internet Things Mag., 2022

URadio: Wideband Ultrasound Communication for Smart Home Applications.
IEEE Internet Things J., 2022

Gradient Scheduling With Global Momentum for Asynchronous Federated Learning in Edge Environment.
IEEE Internet Things J., 2022

Minimizing the Age of Multisource Information With Budget Constraint in Internet of Things.
IEEE Internet Things J., 2022

Resource Provisioning for Mitigating Edge DDoS Attacks in MEC-Enabled SDVN.
IEEE Internet Things J., 2022

MetaFormer Baselines for Vision.
CoRR, 2022

Towards Sustainable Self-supervised Learning.
CoRR, 2022

LPT: Long-tailed Prompt Tuning for Image Classification.
CoRR, 2022

Multi-Modal Cross-Domain Alignment Network for Video Moment Retrieval.
CoRR, 2022

Hierarchical Local-Global Transformer for Temporal Sentence Grounding.
CoRR, 2022

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models.
CoRR, 2022

Gaussian Kernel-based Cross Modal Network for Spatio-Temporal Video Grounding.
CoRR, 2022

Inception Transformer.
CoRR, 2022

Mugs: A Multi-Granular Self-Supervised Learning Framework.
CoRR, 2022

Exploring Optical-Flow-Guided Motion and Detection-Based Appearance for Temporal Sentence Grounding.
CoRR, 2022

End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system.
CoRR, 2022

Towards Class Interpretable Vision Transformer with Multi-Class-Tokens.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Backdoor Attacks on Crowd Counting.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Schedule or Wait: Age-Minimization for IoT Big Data Processing in MEC via Online Learning.
Proceedings of the IEEE INFOCOM 2022, 2022

Maximizing h-hop Independently Submodular Functions Under Connectivity Constraint.
Proceedings of the IEEE INFOCOM 2022, 2022

A Hybird Alignment Loss for Temporal Moment Localization with Natural Language.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Video Graph Transformer for Video Question Answering.
Proceedings of the Computer Vision - ECCV 2022, 2022

DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

Self-Promoted Supervision for Few-Shot Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

Research on DDoS detection method based on super logarithm and SVM algorithm.
Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

MetaFormer is Actually What You Need for Vision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Exploring Motion and Appearance Information for Temporal Sentence Grounding.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Unsupervised Temporal Video Grounding with Deep Semantic Clustering.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Memory-Guided Semantic Learning Network for Temporal Sentence Grounding.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Multilabel Image Classification via Feature/Label Co-Projection.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Energy-Aware Inference Offloading for DNN-Driven Applications in Mobile Edge Clouds.
IEEE Trans. Parallel Distributed Syst., 2021

Target-guided Emotion-aware Chat Machine.
ACM Trans. Inf. Syst., 2021

QoE-Aware 3D Video Streaming via Deep Reinforcement Learning in Software Defined Networking Enabled Mobile Edge Computing.
IEEE Trans. Netw. Sci. Eng., 2021

A Hyperbolic Embedding Method for Weighted Networks.
IEEE Trans. Netw. Sci. Eng., 2021

Joint Traffic Control and Multi-Channel Reassignment for Core Backbone Network in SDN-IoT: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Netw. Sci. Eng., 2021

Resource Allocation for Delay-Sensitive Vehicle-to-Multi-Edges (V2Es) Communications in Vehicular Networks: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Netw. Sci. Eng., 2021

Three-Stage Stackelberg Long-Term Incentive Mechanism and Monetization for Mobile Crowdsensing: An Online Learning Approach.
IEEE Trans. Netw. Sci. Eng., 2021

Auto-FERNet: A Facial Expression Recognition Network With Architecture Search.
IEEE Trans. Netw. Sci. Eng., 2021

Efficient Probabilistic K-NN Computation in Uncertain Sensor Networks.
IEEE Trans. Netw. Sci. Eng., 2021

Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling.
IEEE Trans. Neural Networks Learn. Syst., 2021

Stable Task Assignment for Mobile Crowdsensing With Budget Constraint.
IEEE Trans. Mob. Comput., 2021

Collaborative Service Placement for Edge Computing in Dense Small Cell Networks.
IEEE Trans. Mob. Comput., 2021

A Privacy-Preserving Distributed Contextual Federated Online Learning Framework with Big Data Support in Social Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2021

Exploring Deep Reinforcement Learning for Task Dispatching in Autonomous On-Demand Services.
ACM Trans. Knowl. Discov. Data, 2021

EnlightenGAN: Deep Light Enhancement Without Paired Supervision.
IEEE Trans. Image Process., 2021

Efficient and Privacy-Preserving Multi-Party Skyline Queries Over Encrypted Data.
IEEE Trans. Inf. Forensics Secur., 2021

End-to-End Detection-Segmentation System for Face Labeling.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

3D-CNN-SPP: A Patient Risk Prediction System From Electronic Health Records via 3D CNN and Spatial Pyramid Pooling.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Differentially Private Deep Learning with Iterative Gradient Descent Optimization.
Trans. Data Sci., 2021

Massive Maritime Path Planning: A Contextual Online Learning Approach.
IEEE Trans. Cybern., 2021

Trustworthy and Context-Aware Distributed Online Learning With Autoscaling for Content Caching in Collaborative Mobile Edge Computing.
IEEE Trans. Cogn. Commun. Netw., 2021

Memristor-Based Edge Computing of ShuffleNetV2 for Image Classification.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Affinity-Aware VNF Placement in Mobile Edge Clouds via Leveraging GPUs.
IEEE Trans. Computers, 2021

A Lightweight Attention-Based CNN Model for Efficient Gait Recognition with Wearable IMU Sensors.
Sensors, 2021

Position-aware self-attention based neural sequence labeling.
Pattern Recognit., 2021

DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing.
Proc. Priv. Enhancing Technol., 2021

Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Tensor Low-Rank Representation for Data Recovery and Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Dynamic online convex optimization with long-term constraints via virtual queue.
Inf. Sci., 2021

A Resource-Constrained and Privacy-Preserving Edge-Computing-Enabled Clinical Decision System: A Federated Reinforcement Learning Approach.
IEEE Internet Things J., 2021

An Adaptive-Location-Based Routing Protocol for 3-D Underwater Acoustic Sensor Networks.
IEEE Internet Things J., 2021

SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization.
CoRR, 2021

Unsupervised Domain Adaptive Person Re-Identification via Human Learning Imitation.
CoRR, 2021

Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis.
CoRR, 2021

Prototypical Graph Contrastive Learning.
CoRR, 2021

Exploiting Global Contextual Information for Document-level Named Entity Recognition.
CoRR, 2021

RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things.
CoRR, 2021

WNARS: WFST based Non-autoregressive Streaming End-to-End Speech Recognition.
CoRR, 2021

Darts-Conformer: Towards Efficient Gradient-Based Neural Architecture Search For End-to-End ASR.
CoRR, 2021

Context-aware Biaffine Localizing Network for Temporal Sentence Grounding.
CoRR, 2021

Client Selection for Federated Learning With Non-IID Data in Mobile Edge Computing.
IEEE Access, 2021

ATPGNN: Reconstruction of Neighborhood in Graph Neural Networks With Attention-Based Topological Patterns.
IEEE Access, 2021

Delay-Aware Cache-Enabled Cooperative D2D Transmission in Mobile Cellular Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Task similarity aware meta learning: theory-inspired improvement on MAML.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Towards the Urban Future: A Novel Trash Segregation Algorithm Based on Improved YOLOV4.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

Research on Safe Motion Tracking Algorithm of Manipulator Based on Minimum Pseudo-Distance Criterion.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Near Optimal and Dynamic Mechanisms Towards a Stable NFV Market in Multi-Tier Cloud Networks.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

How Important is the Train-Validation Split in Meta-Learning?
Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Gradient-Based Neural Architecture Search For End-to-End ASR.
Proceedings of the ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction, Montreal, QC, Canada, October 18, 2021

Prototypical Contrastive Learning of Unsupervised Representations.
Proceedings of the 9th International Conference on Learning Representations, 2021

Design and Analysis of a Muti-Degree-of-Freedom Dexterous Gripper with Variable Stiffness.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

Communication-efficient Decentralized Machine Learning over Heterogeneous Networks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Online Learning Algorithms for Offloading Augmented Reality Requests with Uncertain Demands in MECs.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Wearable IMU-based Gym Exercise Recognition Using Data Fusion Methods.
Proceedings of the BIBE 2021: The Fifth International Conference on Biological Information and Biomedical Engineering, 2021

Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Time-aspect-sentiment Recommendation Models Based on Novel Similarity Measure Methods.
ACM Trans. Web, 2020

Multi-Agent Deep Reinforcement Learning for Urban Traffic Light Control in Vehicular Networks.
IEEE Trans. Veh. Technol., 2020

Joint Task Offloading and Payment Determination for Mobile Edge Computing: A Stable Matching Based Approach.
IEEE Trans. Veh. Technol., 2020

A Real-Time Collision Prediction Mechanism With Deep Learning for Intelligent Transportation System.
IEEE Trans. Veh. Technol., 2020

Efficient Algorithms for Delay-Aware NFV-Enabled Multicasting in Mobile Edge Clouds With Resource Sharing.
IEEE Trans. Parallel Distributed Syst., 2020

Grouper: Accelerating Hyperparameter Searching in Deep Learning Clusters With Network Scheduling.
IEEE Trans. Netw. Serv. Manag., 2020

Jamsa: A Utility Optimal Contextual Online Learning Framework for Anti-Jamming Wireless Scheduling Under Reactive Jamming Attack.
IEEE Trans. Netw. Sci. Eng., 2020

Blockchain-Enabled Contextual Online Learning Under Local Differential Privacy for Coronary Heart Disease Diagnosis in Mobile Edge Computing.
IEEE J. Biomed. Health Informatics, 2020

Time-Frequency Compressed FTN Signaling: A Solution to Spectrally Efficient Single-Carrier System.
IEEE Trans. Commun., 2020

Human-Behavior and QoE-Aware Dynamic Channel Allocation for 5G Networks: A Latent Contextual Bandit Learning Approach.
IEEE Trans. Cogn. Commun. Netw., 2020

V$^3$H: View Variation and View Heredity for Incomplete Multiview Clustering.
IEEE Trans. Artif. Intell., 2020

Joint Offloading and Charge Cost Minimization in Mobile Edge Computing.
IEEE Open J. Commun. Soc., 2020

PiRATE: A Blockchain-Based Secure Framework of Distributed Machine Learning in 5G Networks.
IEEE Netw., 2020

GuardHealth: Blockchain empowered secure data management and Graph Convolutional Network enabled anomaly detection in smart healthcare.
J. Parallel Distributed Comput., 2020

JPAS: Job-progress-aware flow scheduling for deep learning clusters.
J. Netw. Comput. Appl., 2020

Quantile Context-Aware Social IoT Service Big Data Recommendation With D2D Communication.
IEEE Internet Things J., 2020

A Game-Theoretic Routing Protocol for 3-D Underwater Acoustic Sensor Networks.
IEEE Internet Things J., 2020

Enabling Multicast Slices in Edge Networks.
IEEE Internet Things J., 2020

Approximate to Be Great: Communication Efficient and Privacy-Preserving Large-Scale Distributed Deep Learning in Internet of Things.
IEEE Internet Things J., 2020

Deep Actor-Critic Learning-Based Robustness Enhancement of Internet of Things.
IEEE Internet Things J., 2020

Multiagent Deep Reinforcement Learning for Joint Multichannel Access and Task Offloading of Mobile-Edge Computing in Industry 4.0.
IEEE Internet Things J., 2020

SAANet: Siamese action-units attention network for improving dynamic facial expression recognition.
Neurocomputing, 2020

A compact hybrid envelope tracking supply modulator with wide-band high-slew-rate linear amplifier.
IEICE Electron. Express, 2020

V3H: Incomplete Multi-view Clustering via View Variation and View Heredity.
CoRR, 2020

ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view Clustering.
CoRR, 2020

Unbalanced Incomplete Multi-view Clustering via the Scheme of View Evolution: Weak Views are Meat; Strong Views do Eat.
CoRR, 2020

User-based Network Embedding for Collective Opinion Spammer Detection.
CoRR, 2020

Iterative Graph Self-Distillation.
CoRR, 2020

Evasion Attacks to Graph Neural Networks via Influence Function.
CoRR, 2020

Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs.
CoRR, 2020

Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos.
CoRR, 2020

Federated Mutual Learning.
CoRR, 2020

Learning Decomposed Representation for Counterfactual Inference.
CoRR, 2020

Prototypical Contrastive Learning of Unsupervised Representations.
CoRR, 2020

Data Augmentation Imbalance For Imbalanced Attribute Classification.
CoRR, 2020

Cocktail: Cost-efficient and Data Skew-aware Online In-Network Distributed Machine Learning for Intelligent 5G and Beyond.
CoRR, 2020

Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach.
CoRR, 2020

Prophet: Proactive Candidate-Selection for Federated Learning by Predicting the Qualities of Training and Reporting Phases.
CoRR, 2020

Privacy-preserving and energy efficient task offloading for collaborative mobile computing in IoT: An ADMM approach.
Comput. Secur., 2020

Joint time delay and energy optimization with intelligent overclocking in edge computing.
Sci. China Inf. Sci., 2020

Reversible Data Hiding Based on Structural Similarity Block Selection.
IEEE Access, 2020

Learn to Optimize: Adaptive VNF Provisioning in Mobile Edge Clouds.
Proceedings of the 17th Annual IEEE International Conference on Sensing, 2020

Theory-Inspired Path-Regularized Differential Network Architecture Search.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improving GAN Training with Probability Ratio Clipping and Sample Reweighting.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Identity-Aware Attribute Recognition via Real-Time Distributed Inference in Mobile Edge Clouds.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Fine-grained Iterative Attention Network for Temporal Language Localization in Videos.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Improving Quality of Experience by Adaptive Video Streaming with Super-Resolution.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Collaborate or Separate? Distributed Service Caching in Mobile Edge Clouds.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Learning Optimal Sniffer Channel Assignment for Small Cell Cognitive Radio Networks.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Generating Robust Audio Adversarial Examples with Temporal Dependency.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

HANet: Hybrid Attention-aware Network for Crowd Counting.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Video-based Facial Expression Recognition using Graph Convolutional Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Research on Ideological and Political Education of College Students Based on Network Information Security.
Proceedings of the Intelligent Computing Theories and Application, 2020

De-Health: All Your Online Health Information Are Belong to Us.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

To Cache or Not to Cache: Stable Service Caching in Mobile Edge-Clouds of a Service Market.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Delay-Optimal Edge Cache Replacement with Non-Markovian Content Fetching.
Proceedings of the IEEE Global Communications Conference, 2020

Crowd Counting via Hierarchical Scale Recalibration Network.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Fine-Grained Text Sentiment Transfer via Dependency Parsing.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Reasoning Step-by-Step: Temporal Sentence Localization in Videos via Deep Rectification-Modulation Network.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

DP-Hybrid: A Two-Layer Consensus Protocol for High Scalability in Permissioned Blockchain.
Proceedings of the Blockchain and Trustworthy Systems - Second International Conference, 2020

2019
Opportunistic Scheduling Revisited Using Restless Bandits: Indexability and Index Policy.
IEEE Trans. Wirel. Commun., 2019

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

Toward Optimal Adaptive Online Shortest Path Routing With Acceleration Under Jamming Attack.
IEEE/ACM Trans. Netw., 2019

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

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

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

Corrections to "A Privacy-Preserving Online Learning Approach for Incentive-Based Demand Response in Smart Grid".
IEEE Syst. J., 2019

A Privacy-Preserving Online Learning Approach for Incentive-Based Demand Response in Smart Grid.
IEEE Syst. J., 2019

Privacy-Preserving and Residential Context-Aware Online Learning for IoT-Enabled Energy Saving With Big Data Support in Smart Home Environment.
IEEE Internet Things J., 2019

Privacy-Preserving Online Task Allocation in Edge-Computing-Enabled Massive Crowdsensing.
IEEE Internet Things J., 2019

Routing and Scheduling for Hybrid Truck-Drone Collaborative Parcel Delivery With Independent and Truck-Carried Drones.
IEEE Internet Things J., 2019

Attend to count: Crowd counting with adaptive capacity multi-scale CNNs.
Neurocomputing, 2019

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

Improving Generalization of Transformer for Speech Recognition with Parallel Schedule Sampling and Relative Positional Embedding.
CoRR, 2019

Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee.
CoRR, 2019

Enhancing Neural Sequence Labeling with Position-Aware Self-Attention.
CoRR, 2019

Joint Coverage and Power Control in Highly Dynamic and Massive UAV Networks: An Aggregative Game-theoretic Learning Approach.
CoRR, 2019

Exact Recovery of Tensor Robust Principal Component Analysis under Linear Transforms.
CoRR, 2019

De-Health: All Your Online Health Information Are Belong to Us.
CoRR, 2019

FDI: Quantifying Feature-based Data Inferability.
CoRR, 2019

Flow-aware explicit congestion notification for datacenter networks.
Clust. Comput., 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

Energy-Efficient Base Station Deployment in Heterogeneous Communication Network.
Proceedings of the 2019 IEEE SmartWorld, 2019

Reading Digital Numbers of Water Meter with Deep Learning Based Object Detector.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Efficient Meta Learning via Minibatch Proximal Update.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 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

Privacy-Preserving MEC-Enabled Contextual Online Learning via SDN for Service Selection in IoT.
Proceedings of the 16th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2019

An Online Attention-Based Model for Speech Recognition.
Proceedings of the Interspeech 2019, 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

BP Neural Network Control Method of DFIG under Improved Double Loop Unbalanced Voltage.
Proceedings of the ICITEE-2019: 2nd International Conference on Information Technologies and Electrical Engineering, 2019

Research on Multi-Objective Control System of Grid Connected PV Inverters.
Proceedings of the ICITEE-2019: 2nd International Conference on Information Technologies and Electrical Engineering, 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

A Case Study of HealthCare Platform using Big Data Analytics and Machine Learning.
Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference (HPCCT 2019) and of the 2nd International Conference on Big Data and Artificial Intelligence (BDAI 2019), Guangzhou, China, June 22, 2019

Differentially Private Tree-Based Contextual Online Learning for Service Big Data Selection in IoT.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Imbalance Rectification in Deep Logistic Regression for Multi-Label Image Classification Using Random Noise Samples.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Enhanced 3D convolutional networks for crowd counting.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Exploring RNN-Transducer for Chinese speech recognition.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 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. Wirel. Commun., 2018

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

On Optimality of Second-Highest Policy for Opportunistic Multichannel Access.
IEEE Trans. Veh. Technol., 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. Inf. Theory, 2018

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

Early Fault Detection Approach With Deep Architectures.
IEEE Trans. Instrum. Meas., 2018

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

Accurate Content Push for Content-Centric Social Networks: A Big Data Support Online Learning Approach.
IEEE Trans. Emerg. Top. Comput. Intell., 2018

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

Spatial Pyramid Pooling Mechanism in 3D Convolutional Network for Sentence-Level Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 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 Recognit., 2018

Dictionary learning with structured noise.
Neurocomputing, 2018

Bayesian CycleGAN via Marginalizing Latent Sampling.
CoRR, 2018

Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification.
CoRR, 2018

SmartSeed: Smart Seed Generation for Efficient Fuzzing.
CoRR, 2018

Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond.
CoRR, 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.
ACM Trans. Storage, 2017

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

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

Energy Efficient Scheduling for Delay-Constrained Spectrum Aggregation: A Differentiated Water-Filling Approach.
IEEE Trans. Green Commun. Netw., 2017

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

Private and Truthful Aggregative Game for Large-Scale Spectrum Sharing.
IEEE J. Sel. Areas Commun., 2017

A Survey of Model Compression and Acceleration for Deep Neural Networks.
CoRR, 2017

Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification.
CoRR, 2017

The Landscape of Deep Learning Algorithms.
CoRR, 2017

Understanding Deep Representations through Random Weights.
CoRR, 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. Wirel. Commun., 2016

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

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

Private and Truthful Aggregative Game for Large-Scale Spectrum Sharing.
CoRR, 2016

Near Optimal Adaptive Shortest Path Routing with Stochastic Links States under Adversarial Attack.
CoRR, 2016

Secure Communication through Wireless-Powered Friendly Jamming: Jointly Online Optimization over Geography, Energy and Time.
CoRR, 2016

DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns.
CoRR, 2016

Context-Aware Online Learning for Course Recommendation of MOOC Big Data.
CoRR, 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 Lang. Process., 2015

Differentially Private Online Learning for Video Recommendation with Social Big Data over Media Cloud.
CoRR, 2015

Towards Optimal Adaptive Wireless Communications in Unknown Environments.
CoRR, 2015

Almost Optimal Energy-Efficient Cognitive Communications in Unknown Environments.
CoRR, 2015

Differentially Private Distributed Online Learning.
CoRR, 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 J. Sel. Areas Commun., 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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