Tianyi Chen

According to our database1, Tianyi Chen authored at least 143 papers between 2008 and 2022.

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Bibliography

2022
Peer-to-Peer Energy Trading and Energy Conversion in Interconnected Multi-Energy Microgrids Using Multi-Agent Deep Reinforcement Learning.
IEEE Trans. Smart Grid, 2022

Communication-Censored Distributed Stochastic Gradient Descent.
IEEE Trans. Neural Networks Learn. Syst., 2022

Recurrent Exposure Generation for Low-Light Face Detection.
IEEE Trans. Multim., 2022

Semantic Regularized Class-Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis.
IEEE Trans. Multim., 2022

Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road.
IEEE Trans. Intell. Transp. Syst., 2022

Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning.
IEEE Trans. Control. Netw. Syst., 2022

Optimized structure learning of Bayesian Network for investigating causation of vehicles' on-road crashes.
Reliab. Eng. Syst. Saf., 2022

Adaptive Temporal Difference Learning With Linear Function Approximation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

A Simple Spectral Failure Mode for Graph Convolutional Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization.
CoRR, 2022

Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach.
CoRR, 2022

Learning with Limited Samples - Meta-Learning and Applications to Communication Systems.
CoRR, 2022

On the Stability Analysis of Open Federated Learning Systems.
CoRR, 2022

Sparsity-guided Network Design for Frame Interpolation.
CoRR, 2022

COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning.
CoRR, 2022

Understanding Benign Overfitting in Nested Meta Learning.
CoRR, 2022

Modeling Adaptive Platoon and Reservation Based Autonomous Intersection Control: A Deep Reinforcement Learning Approach.
CoRR, 2022

A Single-Timescale Analysis For Stochastic Approximation With Multiple Coupled Sequences.
CoRR, 2022

Lazy Queries Can Reduce Variance in Zeroth-order Optimization.
CoRR, 2022

Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules.
CoRR, 2022

Federated Cross Learning for Medical Image Segmentation.
CoRR, 2022

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction.
CoRR, 2022

Transferable adversarial examples can efficiently fool topic models.
Comput. Secur., 2022

Polarizing Opinion Dynamics with Confirmation Bias.
Proceedings of the Social Informatics - 13th International Conference, 2022

Dense and well-connected subgraph detection in dual networks.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Modular software for real-time quantum control systems.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees.
Proceedings of the Learning for Dynamics and Control Conference, 2022

AntiBenford Subgraphs: Unsupervised Anomaly Detection in Financial Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning.
Proceedings of the International Conference on Machine Learning, 2022

Federated Multi-Armed Bandit Via Uncoordinated Exploration.
Proceedings of the IEEE International Conference on Acoustics, 2022

SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Single-Timescale Method for Stochastic Bilevel Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Edge-Centric Bandit Learning for Task-Offloading Allocations in Multi-RAT Heterogeneous Networks.
IEEE Trans. Veh. Technol., 2021

Byzantine-Resilient Decentralized Policy Evaluation With Linear Function Approximation.
IEEE Trans. Signal Process., 2021

Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization.
IEEE Trans. Signal Process., 2021

Communication-Adaptive Stochastic Gradient Methods for Distributed Learning.
IEEE Trans. Signal Process., 2021

Multi-Agent Multi-Armed Bandit Learning for Online Management of Edge-Assisted Computing.
IEEE Trans. Commun., 2021

CAFE: Catastrophic Data Leakage in Vertical Federated Learning.
CoRR, 2021

Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems.
CoRR, 2021

Connected and Automated Vehicle Distributed Control for On-ramp Merging Scenario: A Virtual Rotation Approach.
CoRR, 2021

A Single-Timescale Stochastic Bilevel Optimization Method.
CoRR, 2021

Adoption of shopper-facing technologies under social distancing: A conceptualisation and an interplay between task-technology fit and technology trust.
Comput. Hum. Behav., 2021

Boosting static analysis accuracy with instrumented test executions.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Catastrophic Data Leakage in Vertical Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Only Train Once: A One-Shot Neural Network Training And Pruning Framework.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Byzantine-Resilient Decentralized TD Learning with Linear Function Approximation.
Proceedings of the IEEE International Conference on Acoustics, 2021

An Optimal Stochastic Compositional Optimization Method with Applications to Meta Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SRKTDN: Applying Super Resolution Method to Dehazing Task.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

CADA: Communication-Adaptive Distributed Adam.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Hybrid Estimation for Open-Ended Questions with Early-Age Students' Block-Based Programming Answers.
Proceedings of the Asian Conference on Machine Learning, 2021

Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Federated Variance-Reduced Stochastic Gradient Descent With Robustness to Byzantine Attacks.
IEEE Trans. Signal Process., 2020

Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study.
IEEE Trans. Image Process., 2020

A Combined Use of TSVD and Tikhonov Regularization for Mass Flux Solution in Tibetan Plateau.
Remote. Sens., 2020

Single-image raindrop removal using concurrent channel-spatial attention and long-short skip connections.
Pattern Recognit. Lett., 2020

Asynchronous Advantage Actor Critic: Non-asymptotic Analysis and Linear Speedup.
CoRR, 2020

Hybrid Federated Learning: Algorithms and Implementation.
CoRR, 2020

Neural Network Compression Via Sparse Optimization.
CoRR, 2020

VAFL: a Method of Vertical Asynchronous Federated Learning.
CoRR, 2020

Communication-Efficient Robust Federated Learning Over Heterogeneous Datasets.
CoRR, 2020

Orthant Based Proximal Stochastic Gradient Method for 𝓁<sub>1</sub>-Regularized Optimization.
CoRR, 2020

LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning.
CoRR, 2020

Recent Advances of Volatile Memristors: Devices, Mechanisms, and Applications.
Adv. Intell. Syst., 2020

Context-Aware Traffic Prediction Framework Based on Series Decomposition.
IEEE Access, 2020

Orthant Based Proximal Stochastic Gradient Method for ℓ <sub>1</sub>-Regularized Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

A Deep Time Series Forecasting Method Integrated with Local-Context Sensitive Features.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

An MAB Approach for MEC-centric Task-offloading Control in Multi-RAT HetNets.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Resilient to Byzantine Attacks Finite-Sum Optimization Over Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Combinatorial Bandit Approach to UAV-aided Edge Computing.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Secure Mobile Edge Computing in IoT via Collaborative Online Learning.
IEEE Trans. Signal Process., 2019

Real-Time Energy Management in Microgrids With Reduced Battery Capacity Requirements.
IEEE Trans. Smart Grid, 2019

Multi-Timescale Online Optimization of Network Function Virtualization for Service Chaining.
IEEE Trans. Mob. Comput., 2019

Learning and Management for Internet of Things: Accounting for Adaptivity and Scalability.
Proc. IEEE, 2019

Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics.
J. Mach. Learn. Res., 2019

Bandit Convex Optimization for Scalable and Dynamic IoT Management.
IEEE Internet Things J., 2019

Decentralized Markov Chain Gradient Descent.
CoRR, 2019

Communication-Censored Distributed Stochastic Gradient Descent.
CoRR, 2019

Generative Adversarial Network for Handwritten Text.
CoRR, 2019

Novel Dense Subgraph Discovery Primitives: Risk Aversion and Exclusion Queries.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Realistic Peer-to-Peer Energy Trading Model for Microgrids using Deep Reinforcement Learning.
Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019

Byzantine-Robust Stochastic Gradient Descent for Distributed Low-Rank Matrix Completion.
Proceedings of the IEEE Data Science Workshop, 2019

Bandit Online Learning with Unknown Delays.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Two-Scale Stochastic Control for Integrated Multipoint Communication Systems With Renewables.
IEEE Trans. Smart Grid, 2018

Learn-and-Adapt Stochastic Dual Gradients for Network Resource Allocation.
IEEE Trans. Control. Netw. Syst., 2018

FaRSA for ℓ1-regularized convex optimization: local convergence and numerical experience.
Optim. Methods Softw., 2018

Heterogeneous Online Learning for "Thing-Adaptive" Fog Computing in IoT.
IEEE Internet Things J., 2018

Communication-Efficient Distributed Reinforcement Learning.
CoRR, 2018

Delayed Bandit Online Learning with Unknown Delays.
CoRR, 2018

Online Learning Adaptive to Dynamic and Adversarial Environments.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Online Multi-Kernel Learning with Orthogonal Random Features.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Harnessing Bandit Online Learning to Low-Latency Fog Computing.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Aggregating Flexibility of Heterogeneous Energy Resources in Distribution Networks.
Proceedings of the 2018 Annual American Control Conference, 2018

Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Secure Edge Computing in IoT via Online Learning.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Real-Time Energy Trading and Future Planning for Fifth Generation Wireless Communications.
IEEE Wirel. Commun., 2017

Stochastic Averaging for Constrained Optimization With Application to Online Resource Allocation.
IEEE Trans. Signal Process., 2017

An Online Convex Optimization Approach to Proactive Network Resource Allocation.
IEEE Trans. Signal Process., 2017

DGLB: Distributed Stochastic Geographical Load Balancing over Cloud Networks.
IEEE Trans. Parallel Distributed Syst., 2017

A Reduced-Space Algorithm for Minimizing ℓ<sub>1</sub>-Regularized Convex Functions.
SIAM J. Optim., 2017

An Efficient Extreme Learning Machine Based on Fuzzy Information Granulation.
Int. J. Emerg. Technol. Learn., 2017

An Online Convex Optimization Approach to Dynamic Network Resource Allocation.
CoRR, 2017

Learn-and-adapt network resource allocation.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

Distributed Stochastic Optimization of Network Function Virtualization.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Real-time energy management with improved cost-capacity tradeoff.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Online convex optimization for dynamic network resource allocation.
Proceedings of the 25th European Signal Processing Conference, 2017

Online learning for "thing-adaptive" Fog Computing in IoT.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Energy-Efficient Transmission Schedule for Delay-Limited Bursty Data Arrivals Under Nonideal Circuit Power Consumption.
IEEE Trans. Veh. Technol., 2016

Mass Flux Solution in the Tibetan Plateau Using Mascon Modeling.
Remote. Sens., 2016

Cooling-Aware Energy and Workload Management in Data Centers via Stochastic Optimization.
IEEE J. Sel. Top. Signal Process., 2016

Dynamic Energy Management for Smart-Grid-Powered Coordinated Multipoint Systems.
IEEE J. Sel. Areas Commun., 2016

Dynamic Resource Allocation for Smart-Grid Powered MIMO Downlink Transmissions.
IEEE J. Sel. Areas Commun., 2016

Robust Workload and Energy Management for Sustainable Data Centers.
IEEE J. Sel. Areas Commun., 2016

Two-Scale Stochastic Control for Multipoint Communication Systems with Renewables.
CoRR, 2016

Frequent Subgraph Based Familial Classification of Android Malware.
Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016

Robust geographical load balancing for sustainable data centers.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Stochastic online control for smart-grid powered MIMO downlink transmissions.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Two-Scale Stochastic Control for Smart-Grid Powered Coordinated Multi-Point Systems.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

A data-driven approach to stochastic network optimization.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Space-time scheduling for green data center networks.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Optimal MIMO Broadcasting for Energy Harvesting Transmitter With non-Ideal Circuit Power Consumption.
IEEE Trans. Wirel. Commun., 2015

Optimal Scheduling for Wireless On-Demand Data Packet Delivery to High-Speed Trains.
IEEE Trans. Veh. Technol., 2015

Optimal Dynamic Power Management for Green Coordinated Multipoint Systems.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

Energy and workload management for data centers in renewable-integrated power grid.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014
Energy-Efficient Transmission Schedule for Delay-Limited Bursty Data Arrivals under Non-Ideal Circuit Power Consumption.
CoRR, 2014

Optimal MIMO broadcasting over time-varying wireless channels for energy harvesting transmitter with non-ideal circuit power.
Proceedings of the IEEE International Conference on Acoustics, 2014

Energy-efficient transmission of delay-limited bursty data packets over time-varying channels under non-ideal circuit power.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

2013
Controlled Experimentation in Naturalistic Mobile Settings.
CoRR, 2013

2011
Investigating retrospective interoperability between the accessible and mobile webs with regard to user input.
PhD thesis, 2011

How Do People Use Their Mobile Phones?: A Field Study of Small Device Users.
Int. J. Mob. Hum. Comput. Interact., 2011

Mobile device impairment ... similar problems, similar solutions?
Behav. Inf. Technol., 2011

2010
What input errors do you experience? Typing and pointing errors of mobile Web users.
Int. J. Hum. Comput. Stud., 2010

Small-device users situationally impaired by input.
Comput. Hum. Behav., 2010

A simple solution: solution migration from disabled to small device context.
Proceedings of the International Cross-Disciplinary Conference on Web Accessibility, 2010

2008
Input to the mobile web is situationally-impaired.
Proceedings of the 10th International ACM SIGACCESS Conference on Computers and Accessibility, 2008


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