Xiang Chen

MohammadTaghi Hajiaghayi

CoRR, February, 2025

Detecting Ambiguities to Guide Query Rewrite for Robust Conversations in Enterprise AI Assistants.

[BibT_eX]

[DOI]

CoRR, February, 2025

Rethinking Latency-Aware DNN Design With GPU Tail Effect Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2025

Personalization of Large Language Models: A Survey.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

From Selection to Generation: A Survey of LLM-based Active Learning.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Doc-React: Multi-page Heterogeneous Document Question-answering.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025

Numerical Pruning for Efficient Autoregressive Models.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

ECLAIR: Enhanced Clarification for Interactive Responses.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

ECLAIR: Enhanced Clarification for Interactive Responses in an Enterprise AI Assistant.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

QC-ODKLA: Quantized and Communication- Censored Online Decentralized Kernel Learning via Linearized ADMM.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Collaborative Learning-Based Spectrum Sensing Under Partial Observations.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., October, 2024

Spectrum Transformer: An Attention-Based Wideband Spectrum Detector.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., September, 2024

Numerical Pruning for Efficient Autoregressive Models.

[BibT_eX]

[DOI]

CoRR, 2024

Personalized Multimodal Large Language Models: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text.

[BibT_eX]

[DOI]

CoRR, 2024

Survey of User Interface Design and Interaction Techniques in Generative AI Applications.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey of Small Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use.

[BibT_eX]

[DOI]

CoRR, 2024

A Multi-LLM Debiasing Framework.

[BibT_eX]

[DOI]

CoRR, 2024

X-Reflect: Cross-Reflection Prompting for Multimodal Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

EdgeShield: A Universal and Efficient Edge Computing Framework for Robust AI.

[BibT_eX]

[DOI]

CoRR, 2024

A Framework for Fine-Tuning LLMs using Heterogeneous Feedback.

[BibT_eX]

[DOI]

CoRR, 2024

CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

LongLaMP: A Benchmark for Personalized Long-form Text Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data.

[BibT_eX]

[DOI]

CoRR, 2024

QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Tackling Long-Tail Entities for Temporal Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Infinite-Dimensional Feature Interaction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

TupleRadar: Accelerating Tuple Space Search in Packet Classification by Learned Index.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

Communication-Efficient Decentralized Dynamic Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

HanDiffuser: Text-to-Image Generation with Realistic Hand Appearances.

[BibT_eX]

[DOI]

Supreeth Narasimhaswamy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Hankel tensor-based model and $$L_1$$-Tucker decomposition-based frequency recovery method for harmonic retrieval problem.

[BibT_eX]

[DOI]

Comput. Appl. Math., February, 2023

LanCeX: A Versatile and Lightweight Defense Method against Condensed Adversarial Attacks in Image and Audio Recognition.

[BibT_eX]

[DOI]

ACM Trans. Embed. Comput. Syst., 2023

Localization and Discrete Beamforming with a Large Reconfigurable Intelligent Surface.

[BibT_eX]

[DOI]

CoRR, 2023

Query Complexity of Active Learning for Function Family With Nearly Orthogonal Basis.

[BibT_eX]

[DOI]

CoRR, 2023

FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients.

[BibT_eX]

[DOI]

CoRR, 2023

GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Spectrum Transformer: Wideband Spectrum Sensing using Multi-Head Self-Attention.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

MiCuts: Combing Bit-Based Cutting and Splitting for Efficient Packet Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

Aigis: Full-Coverage And Low-Overhead Mitigating Against Amplified Reflection DDoS Attacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

EagleRec: Edge-Scale Recommendation System Acceleration with Inter-Stage Parallelism Optimization on GPUs.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Decentralized Personalized Online Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

On Chatbots for Visual Exploratory Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Near Neighbor Search for Constraint Queries.

[BibT_eX]

[DOI]

Anshumali Shrivastava

Proceedings of the IEEE International Conference on Big Data, 2023

2022

C<sup>2</sup>: A Capacity-Centric Architecture Toward Future Wireless Networking.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

CaptorX: A Class-Adaptive Convolutional Neural Network Reconfiguration Framework.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select.

[BibT_eX]

[DOI]

CoRR, 2022

A Survey of Multi-Tenant Deep Learning Inference on GPU.

[BibT_eX]

[DOI]

CoRR, 2022

Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing.

[BibT_eX]

[DOI]

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection.

[BibT_eX]

[DOI]

Sidi Lu

Weisong Shi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

FalCon: Fine-grained Feature Map Sparsity Computing with Decomposed Convolutions for Inference Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration.

[BibT_eX]

[DOI]

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Wideband Spectrum Sensing based on Collaborative Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Reconfigurable Intelligent Surface Assisted Millimeter Wave Indoor Localization Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

Deep Kernel Learning Networks with Multiple Learning Paths.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Collaborative Filtering Guided Deep Reinforcement Learning for Sequential Recommendations.

[BibT_eX]

[DOI]

Vahid Azizi

Saayan Mitra

Proceedings of the IEEE International Conference on Big Data, 2022

2021

REIN the RobuTS: Robust DNN-Based Image Recognition in Autonomous Driving Systems.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

DiReCtX: Dynamic Resource-Aware CNN Reconfiguration Framework for Real-Time Mobile Applications.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

UAV-LEO Integrated Backbone: A Ubiquitous Data Collection Approach for B5G Internet of Remote Things Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2021

COKE: Communication-Censored Decentralized Kernel Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities.

[BibT_eX]

[DOI]

CoRR, 2021

Algorithms for Interference Minimization in Future Wireless Network Decomposition.

[BibT_eX]

[DOI]

CoRR, 2021

What Should Future Wireless Network Architectures Be?

[BibT_eX]

[DOI]

CoRR, 2021

Fed2: Feature-Aligned Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Open-Domain Trending Hashtag Recommendation for Videos.

[BibT_eX]

[DOI]

Viswanathan Swaminathan

Proceedings of the IEEE International Symposium on Multimedia, 2021

Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration.

[BibT_eX]

[DOI]

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks.

[BibT_eX]

[DOI]

Dimitrios Stamoulis

Di Wang

CoRR, 2020

Efficient Neural Network Implementation with Quadratic Neuron.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination.

[BibT_eX]

[DOI]

CoRR, 2020

Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2020

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices.

[BibT_eX]

[DOI]

CoRR, 2020

Metadata Matters in User Engagement Prediction.

[BibT_eX]

[DOI]

Saayan Mitra

Viswanathan Swaminathan

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

SDWCM: A Software-Defined Wi-Fi Architecture For Collaborative Management.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Enabling efficient ReRAM-based neural network computing via crossbar structure adaptive optimization.

[BibT_eX]

[DOI]

Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020

Exploring the Design Space of Efficient Deep Neural Networks.

[BibT_eX]

[DOI]

Dimitrios Stamoulis

Di Wang

Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

Exploring Decentralized Collaboration in Heterogeneous Edge Training.

[BibT_eX]

[DOI]

Zhuwei Qin

Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

DC-CNN: Computational Flow Redefinition for Efficient CNN through Structural Decoupling.

[BibT_eX]

[DOI]

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency.

[BibT_eX]

[DOI]

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications.

[BibT_eX]

[DOI]

Zirui Xu

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation.

[BibT_eX]

[DOI]

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

ELFISH: Resource-Aware Federated Learning on Heterogeneous Edge Devices.

[BibT_eX]

[DOI]

CoRR, 2019

Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2019

DoPa: A Fast and Comprehensive CNN Defense Methodology against Physical Adversarial Attacks.

[BibT_eX]

[DOI]

Zirui Xu

CoRR, 2019

ADMM for Efficient Deep Learning with Global Convergence.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Interpreting and Evaluating Neural Network Robustness.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Task-adaptive incremental learning for intelligent edge devices.

[BibT_eX]

[DOI]

Zhuwei Qin

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

MASKER: Adaptive Mobile Security Enhancement against Automatic Speech Recognition in Eavesdropping.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Device.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Multi-stage Deep Classifier Cascades for Open World Recognition.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Functionality-Oriented Convolutional Filter Pruning.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

REIN: a robust training method for enhancing generalization ability of neural networks in autonomous driving systems.

[BibT_eX]

[DOI]

Chenchen Liu

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

HAMPER: high-performance adaptive mobile security enhancement against malicious speech and image recognition.

[BibT_eX]

[DOI]

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

CAPTOR: a class adaptive filter pruning framework for convolutional neural networks in mobile applications.

[BibT_eX]

[DOI]

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

How convolutional neural networks see the world - A survey of convolutional neural network visualization methods.

[BibT_eX]

[DOI]

Math. Found. Comput., 2018

Distilling Critical Paths in Convolutional Neural Networks.

[BibT_eX]

[DOI]

Zhuwei Qin

CoRR, 2018

Demystifying Neural Network Filter Pruning.

[BibT_eX]

[DOI]

CoRR, 2018

Progressive Weight Pruning of Deep Neural Networks using ADMM.

[BibT_eX]

[DOI]

CoRR, 2018

Interpretable Convolutional Filter Pruning.

[BibT_eX]

[DOI]

CoRR, 2018

Interpreting Adversarial Robustness: A View from Decision Surface in Input Space.

[BibT_eX]

[DOI]

CoRR, 2018

HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition.

[BibT_eX]

[DOI]

CoRR, 2018

Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients.

[BibT_eX]

[DOI]

CoRR, 2018

How convolutional neural network see the world - A survey of convolutional neural network visualization methods.

[BibT_eX]

[DOI]

CoRR, 2018

ASP: A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction.

[BibT_eX]

[DOI]

Qide Dong

CoRR, 2018

ReRise: An Adversarial Example Restoration System for Neuromorphic Computing Security.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Low Power Electronics and Design, 2018

A Hybrid Neural Network Framework and Application to Radar Automatic Target Recognition.

[BibT_eX]

[DOI]

Zhe Zhang

Zhi Tian

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

MobiCore: An adaptive hybrid approach for power-efficient CPU management on Android devices.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International System-on-Chip Conference, 2017

VoCaM: Visualization oriented convolutional neural network acceleration on mobile system: Invited paper.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

MeDNN: A distributed mobile system with enhanced partition and deployment for large-scale DNNs.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

AdaLearner: An adaptive distributed mobile learning system for neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

MoDNN: Local distributed mobile computing system for Deep Neural Network.

[BibT_eX]

[DOI]

Jiachen Mao

Christopher D. Krieger

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016

Practical power consumption analysis with current smartphones.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International System-on-Chip Conference, 2016

MORPh: mobile OLED power friendly camera system.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Symposium on Rapid System Prototyping, 2016

Scope - quality retaining display rendering workload scaling based on user-smartphone distance.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Computer-Aided Design, 2016

MORPh: mobile OLED-friendly recording and playback system for low power video streaming.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Design Automation Conference, 2016

SlowMo - enhancing mobile gesture-based authentication schemes via sampling rate optimization.

[BibT_eX]

[DOI]

Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016

Footfall - GPS polling scheduler for power saving on wearable devices.

[BibT_eX]

[DOI]

Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016

2015

DaTuM: dynamic tone mapping technique for OLED display power saving based on video classification.

[BibT_eX]

[DOI]

Chun Jason Xue

Proceedings of the 52nd Annual Design Automation Conference, 2015

2014

Mobile GPU Power Consumption Reduction via Dynamic Resolution and Frame Rate Scaling.

[BibT_eX]

[DOI]

Proceedings of the 6th Workshop on Power-Aware Computing and Systems, 2014

FingerShadow: An OLED Power Optimization Based on Smartphone Touch Interactions.

[BibT_eX]

[DOI]

Proceedings of the 6th Workshop on Power-Aware Computing and Systems, 2014

Demystifying Energy Usage in Smartphones.

[BibT_eX]

[DOI]

Jianzhong (Charlie) Zhang

Mian Dong

Proceedings of the 51st Annual Design Automation Conference 2014, 2014

2013

Online OLED dynamic voltage scaling for video streaming applications on mobile devices.

[BibT_eX]

[DOI]

SIGBED Rev., 2013

How is energy consumed in smartphone display applications?

[BibT_eX]

[DOI]