Tianyi Chen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2025
Exploring key factors for long-term vessel incident risk prediction.
Reliab. Eng. Syst. Saf., 2025

2024
Efficient and Flexible Method for Reducing Moderate-Size Deep Neural Networks with Condensation.
Entropy, July, 2024

Lite2: A Schemaless Zero-Copy Serialization Format.
Comput., April, 2024

Managing mixed traffic at signalized intersections: An adaptive signal control and CAV coordination system based on deep reinforcement learning.
Expert Syst. Appl., March, 2024

Efficient Verification of Ground States of Frustration-Free Hamiltonians.
Quantum, January, 2024

Hybrid Federated Learning for Feature & Sample Heterogeneity: Algorithms and Implementation.
Trans. Mach. Learn. Res., 2024

An ensemble method for investigating maritime casualties resulting in pollution occurrence: Data augmentation and feature analysis.
Reliab. Eng. Syst. Saf., 2024

Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance.
J. Mach. Learn. Res., 2024

Video-based point cloud compression artifact removal based on the geometry video enhancement.
J. Electronic Imaging, 2024

Spatial-temporal graph convolution network model with traffic fundamental diagram information informed for network traffic flow prediction.
Expert Syst. Appl., 2024

OS-FCM: A semi-supervised clustering approach to investigating consumers' usage patterns of contactless shopping-delivery (S-D) channel.
Expert Syst. Appl., 2024

SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection.
CoRR, 2024

Zero-Shot Text-to-Speech from Continuous Text Streams.
CoRR, 2024

HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning.
CoRR, 2024

Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning.
CoRR, 2024

Unlocking Global Optimality in Bilevel Optimization: A Pilot Study.
CoRR, 2024

FORA: Fast-Forward Caching in Diffusion Transformer Acceleration.
CoRR, 2024

Towards Exact Gradient-based Training on Analog In-memory Computing.
CoRR, 2024

A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints.
CoRR, 2024

Analytic Federated Learning.
CoRR, 2024

ManiFoundation Model for General-Purpose Robotic Manipulation of Contact Synthesis with Arbitrary Objects and Robots.
CoRR, 2024

AdaContour: Adaptive Contour Descriptor with Hierarchical Representation.
CoRR, 2024

S3Editor: A Sparse Semantic-Disentangled Self-Training Framework for Face Video Editing.
CoRR, 2024

Optimistic Safety for Linearly-Constrained Online Convex Optimization.
CoRR, 2024

Uncertainty Quantification on Clinical Trial Outcome Prediction.
CoRR, 2024

A Peer Grading Approach for Open-ended Programming Projects Based on Binary System and Swiss System.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DistiLLM: Towards Streamlined Distillation for Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

GLO: Towards Generalized Learned Query Optimization.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

A Method for Bilevel Optimization with Convex Lower-Level Problem.
Proceedings of the IEEE International Conference on Acoustics, 2024

Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2024

Variance Reduction Can Improve Trade-Off in Multi-Objective Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

The Impact of AI-Pair Programmers on Code Quality and Developer Satisfaction: Evidence from TiMi studio.
Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security, 2024

CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering.
Proceedings of the Computer Vision - ECCV 2024, 2024

DREAM: Diffusion Rectification and Estimation-Adaptive Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Assessing Image Inpainting via Re-Inpainting Self-Consistency Evaluation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Enhancing In-context Learning via Linear Probe Calibration.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

The Language Model Can Have the Personality: Joint Learning for Personality Enhanced Language Model (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror.
Appl. Netw. Sci., December, 2023

GF-2 Data for Lithological Classification Using Texture Features and PCA/ICA Methods in Jixi, Heilongjiang, China.
Remote. Sens., October, 2023

3D-Distortion Based Rate Distortion Optimization for Video-Based Point Cloud Compression.
KSII Trans. Internet Inf. Syst., February, 2023

Lazy Queries Can Reduce Variance in Zeroth-Order Optimization.
IEEE Trans. Signal Process., 2023

Byzantine-Resilient Decentralized Stochastic Optimization With Robust Aggregation Rules.
IEEE Trans. Signal Process., 2023

Towards Understanding Asynchronous Advantage Actor-Critic: Convergence and Linear Speedup.
IEEE Trans. Signal Process., 2023

An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse Regularization.
Trans. Mach. Learn. Res., 2023

LOGER: A Learned Optimizer towards Generating Efficient and Robust Query Execution Plans.
Proc. VLDB Endow., 2023

Learning with Limited Samples: Meta-Learning and Applications to Communication Systems.
Found. Trends Signal Process., 2023

OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators.
CoRR, 2023

The Efficiency Spectrum of Large Language Models: An Algorithmic Survey.
CoRR, 2023

LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery.
CoRR, 2023

BufferSearch: Generating Black-Box Adversarial Texts With Lower Queries.
CoRR, 2023

One-Time Compilation of Device-Level Instructions for Quantum Subroutines.
CoRR, 2023

A Generalized Alternating Method for Bilevel Learning under the Polyak-Łojasiewicz Condition.
CoRR, 2023

Towards Automatic Neural Architecture Search within General Super-Networks.
CoRR, 2023

MoDA: Modeling Deformable 3D Objects from Casual Videos.
CoRR, 2023

Modeling adaptive platoon and reservation-based intersection control for connected and autonomous vehicles employing deep reinforcement learning.
Comput. Aided Civ. Infrastructure Eng., 2023

QisDAX: An Open Source Bridge from Qiskit to Trapped-Ion Quantum Devices.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhancing Robot Program Synthesis Through Environmental Context.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Cross Learning for Medical Image Segmentation.
Proceedings of the Medical Imaging with Deep Learning, 2023

Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MAT: Mixed-Strategy Game of Adversarial Training in Fine-tuning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

LinSATNet: The Positive Linear Satisfiability Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

On Penalty-based Bilevel Gradient Descent Method.
Proceedings of the International Conference on Machine Learning, 2023

Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

OTOv2: Automatic, Generic, User-Friendly.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Nested Ensemble Method to Bilevel Machine Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Peer Review Approach to Grading Projects in Computer Courses.
Proceedings of the IEEE Frontiers in Education Conference, 2023

Research to Practice of Blended Learning in Computer Programming Course.
Proceedings of the IEEE Frontiers in Education Conference, 2023

Exploring Intra-class Variation Factors with Learnable Cluster Prompts for Semi-supervised Image Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AI-based General Visual Inspection of Aircrafts Based on YOLOv5.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

On the Stability Analysis of Open Federated Learning Systems.
Proceedings of the American Control Conference, 2023

Alternating Projected SGD for Equality-constrained Bilevel Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Distributed Offline Policy Optimization Over Batch Data.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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

Executable network of SARS-CoV-2-host interaction predicts drug combination treatments.
npj Digit. Medicine, 2022

Byzantine-robust variance-reduced federated learning over distributed non-i.i.d. data.
Inf. Sci., 2022

FSCNN: A Fast Sparse Convolution Neural Network Inference System.
CoRR, 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

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

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

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

An Online Learning Help Approach based on Q&A sites in Programming Course.
Proceedings of the IEEE International Conference on Teaching, 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

Algorithmic Tools for Understanding the Motif Structure of Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Understanding Benign Overfitting in Gradient-Based Meta Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

MISA-MD: A New Design of Molecular Dynamics Software for GPU Architecture.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 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

Image-oriented ciphertext-policy attribute-based encryption system.
Proceedings of the 18th International Conference on Computational Intelligence and Security, 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

Data Leakage in Federated Learning.
Proceedings of the Federated Learning, 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

Research on Collaborative Detection and Location Method of Infrared and Radar Aircraft Based on Federated Filter.
Proceedings of the ICMSSP 2021: 6th International Conference on Multimedia Systems and Signal Processing, Shenzhen, China, May 22, 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

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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