Diana Marculescu

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 111

Top Venues

CoRR

ICCAD

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

IEEE Trans. Computers

Publications

Endri Taka, Dimitrios Gourounas, Andreas Gerstlauer, Diana Marculescu, Aman Arora
Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs. CoRR (2024)
Feng Liang, Akio Kodaira, Chenfeng Xu, Masayoshi Tomizuka, Kurt Keutzer, Diana Marculescu
Looking Backward: Streaming Video-to-Video Translation with Feature Banks. CoRR (2024)
Chi-Chih Chang, Yuan-Yao Sung, Shixing Yu, Ning-Chi Huang, Diana Marculescu, Kai-Chiang Wu
FLORA: Fine-grained Low-Rank Architecture Search for Vision Transformer. WACV (2024)
Tanvir Mahmud, Yapeng Tian, Diana Marculescu
T-VSL: Text-Guided Visual Sound Source Localization in Mixtures. CoRR (2024)
Tanvir Mahmud, Mustafa Munir, Radu Marculescu, Diana Marculescu
Ada-VE: Training-Free Consistent Video Editing Using Adaptive Motion Prior. CoRR (2024)
Tanvir Mahmud, Burhaneddin Yaman, Chun-Hao Liu, Diana Marculescu
PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference. CoRR (2024)
Tanvir Mahmud, Saeed Amizadeh, Kazuhito Koishida, Diana Marculescu
Weakly-supervised Audio Separation via Bi-modal Semantic Similarity. ICLR (2024)
Tanvir Mahmud, Saeed Amizadeh, Kazuhito Koishida, Diana Marculescu
Weakly-supervised Audio Separation via Bi-modal Semantic Similarity. CoRR (2024)
Tanvir Mahmud, Chun-Hao Liu, Burhaneddin Yaman, Diana Marculescu
SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations. WACV (2024)
Tanvir Mahmud, Shentong Mo, Yapeng Tian, Diana Marculescu
MA-AVT: Modality Alignment for Parameter-Efficient Audio-Visual Transformers. CoRR (2024)
Tanvir Mahmud, Chun-Hao Liu, Burhaneddin Yaman, Diana Marculescu
SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations. CoRR (2023)
Hung-Yueh Chiang, Natalia Frumkin, Feng Liang, Diana Marculescu
MobileTL: On-Device Transfer Learning with Inverted Residual Blocks. AAAI (2023)
Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu
Efficient Low-rank Backpropagation for Vision Transformer Adaptation. CoRR (2023)
Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu
FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis. CoRR (2023)
Tanvir Mahmud, Diana Marculescu
AVE-CLIP: AudioCLIP-based Multi-window Temporal Transformer for Audio Visual Event Localization. WACV (2023)
Natalia Frumkin, Dibakar Gope, Diana Marculescu
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers. CoRR (2023)
Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu
Efficient Low-rank Backpropagation for Vision Transformer Adaptation. NeurIPS (2023)
Chi-Chih Chang, Yuan-Yao Sung, Shixing Yu, Ning-Chi Huang, Diana Marculescu, Kai-Chiang Wu
FLORA: Fine-grained Low-Rank Architecture Search for Vision Transformer. CoRR (2023)
Endri Taka, Aman Arora, Kai-Chiang Wu, Diana Marculescu
MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine. CoRR (2023)
Natalia Frumkin, Dibakar Gope, Diana Marculescu
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers. ICCV (2023)
Tanvir Mahmud, Feng Liang, Yaling Qing, Diana Marculescu
CLIP4VideoCap: Rethinking Clip for Video Captioning with Multiscale Temporal Fusion and Commonsense Knowledge. ICASSP (2023)
Endri Taka, Aman Arora, Kai-Chiang Wu, Diana Marculescu
MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine. ICFPT (2023)
Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. CVPR (2023)
Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu
QUIDAM: A Framework for Quantization-aware DNN Accelerator and Model Co-Exploration. ACM Trans. Embed. Comput. Syst. 22 (2) (2023)
Hung-Yueh Chiang, Natalia Frumkin, Feng Liang, Diana Marculescu
MobileTL: On-device Transfer Learning with Inverted Residual Blocks. CoRR (2022)
Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu
DeepNVM++: Cross-Layer Modeling and Optimization Framework of Nonvolatile Memories for Deep Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (10) (2022)
Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu
QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality. CoRR (2022)
Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu
QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN Accelerators. CoRR (2022)
Tanvir Mahmud, Diana Marculescu
AVE-CLIP: AudioCLIP-based Multi-window Temporal Transformer for Audio Visual Event Localization. CoRR (2022)
Yang Zhou, Feng Liang, Ting-Wu Chin, Diana Marculescu
Play It Cool: Dynamic Shifting Prevents Thermal Throttling. CoRR (2022)
Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu
QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-Exploration. CoRR (2022)
Natalia Frumkin, Dibakar Gope, Diana Marculescu
CPT-V: A Contrastive Approach to Post-Training Quantization of Vision Transformers. CoRR (2022)
Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu
Efficient Deep Learning Using Non-Volatile Memory Technology. CoRR (2022)
Feng Liang, Yangguang Li, Diana Marculescu
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners. CoRR (2022)
Feng Liang, Ting-Wu Chin, Yang Zhou, Diana Marculescu
ANT: Adapt Network Across Time for Efficient Video Processing. CVPR Workshops (2022)
Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. CoRR (2022)
Ting-Wu Chin, Ari S. Morcos, Diana Marculescu
Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks. ECML/PKDD (3) (2021)
Ting-Wu Chin, Diana Marculescu, Ari S. Morcos
Width Transfer: On the (In)variance of Width Optimization. CoRR (2021)
Ting-Wu Chin, Cha Zhang, Diana Marculescu
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness. CVPR Workshops (2021)
Ting-Wu Chin, Dimitrios Stamoulis, Diana Marculescu
Putting the "Machine" Back in Machine Learning for Engineering Students. Teaching ML (2021)
Ting-Wu Chin, Diana Marculescu, Ari S. Morcos
Width Transfer: On the (In)variance of Width Optimization. CVPR Workshops (2021)
Diana Marculescu
When Climate Meets Machine Learning: Edge to Cloud ML Energy Efficiency. ISLPED (2021)
Zhuo Chen, Jiyuan Zhang, Ruizhou Ding, Diana Marculescu
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection. WACV (2020)
Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, Diana Marculescu
One Weight Bitwidth to Rule Them All. CoRR (2020)
Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, Diana Marculescu
One Weight Bitwidth to Rule Them All. ECCV Workshops (5) (2020)
Ting-Wu Chin, Ari S. Morcos, Diana Marculescu
PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks. CoRR (2020)
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Lixin Fan, Diana Marculescu, Werner Bailer, Yurong Chen
Editorial: Special Issue on Compact Deep Neural Networks With Industrial Applications. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Ahmet Fatih Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David W. Nellans, Diana Marculescu
The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems. CoRR (2020)
Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu
Towards Efficient Model Compression via Learned Global Ranking. CVPR (2020)
Ahmet Fatih Inci, Mehmet Meric Isgenc, Diana Marculescu
DeepNVM: A Framework for Modeling and Analysis of Non-Volatile Memory Technologies for Deep Learning Applications. DATE (2020)
R. Iris Bahar, Alex K. Jones, Srinivas Katkoori, Patrick H. Madden, Diana Marculescu, Igor L. Markov
Workshops on Extreme Scale Design Automation (ESDA) Challenges and Opportunities for 2025 and Beyond. CoRR (2020)
Ting-Wu Chin, Cha Zhang, Diana Marculescu
Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation. CoRR (2020)
Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu
DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning. CoRR (2020)
Radu Marculescu, Diana Marculescu, Ümit Y. Ogras
Edge AI: Systems Design and ML for IoT Data Analytics. KDD (2020)
Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, R. D. (Shawn) Blanton
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. DAC (2019)
Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu
LeGR: Filter Pruning via Learned Global Ranking. CoRR (2019)
Ting-Wu Chin, Ruizhou Ding, Diana Marculescu
AdaScale: Towards Real-time Video Object Detection using Adaptive Scaling. MLSys (2019)
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization. CoRR (2019)
Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu
Understanding the Impact of Label Granularity on CNN-based Image Classification. CoRR (2019)
Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu
Regularizing Activation Distribution for Training Binarized Deep Networks. CVPR (2019)
Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu
Regularizing Activation Distribution for Training Binarized Deep Networks. CoRR (2019)
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours. ECML/PKDD (2) (2019)
Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, Ronald D. Blanton
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. CoRR (2019)
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours. CoRR (2019)
Ifigeneia Apostolopoulou, Diana Marculescu
Tractable Learning and Inference for Large-Scale Probabilistic Boolean Networks. IEEE Trans. Neural Networks Learn. Syst. 30 (9) (2019)
Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
Learning-Based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems. IEEE Trans. Computers 68 (6) (2019)
Zhuo Chen, Jiyuan Zhang, Ruizhou Ding, Diana Marculescu
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection. CoRR (2019)
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
Single-Path NAS: Device-Aware Efficient ConvNet Design. CoRR (2019)
Ting-Wu Chin, Ruizhou Ding, Diana Marculescu
AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling. CoRR (2019)
Ifigeneia Apostolopoulou, Diana Marculescu
Tractable Learning and Inference for Large-Scale Probabilistic Boolean Networks. CoRR (2018)
Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu
HyperPower: Power- and memory-constrained hyper-parameter optimization for neural networks. DATE (2018)
Wonje Choi, Karthi Duraisamy, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems. IEEE Trans. Computers 67 (5) (2018)
Zhuo Chen, Dimitrios Stamoulis, Diana Marculescu
Profit: Priority and Power/Performance Optimization for Many-Core Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (10) (2018)
Ruizhou Ding, Zeye Liu, R. D. (Shawn) Blanton, Diana Marculescu
Lightening the Load with Highly Accurate Storage- and Energy-Efficient LightNNs. ACM Trans. Reconfigurable Technol. Syst. 11 (3) (2018)
Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu
Understanding the Impact of Label Granularity on CNN-Based Image Classification. ICDM Workshops (2018)
Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
Learning-based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems. CoRR (2018)
Ruizhou Ding, Zeye Liu, R. D. (Shawn) Blanton, Diana Marculescu
Quantized deep neural networks for energy efficient hardware-based inference. ASP-DAC (2018)
Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
Hybrid on-chip communication architectures for heterogeneous manycore systems. ICCAD (2018)
Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, R. D. (Shawn) Blanton
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks. CoRR (2018)
Diana Marculescu, Dimitrios Stamoulis, Ermao Cai
Hardware-aware machine learning: modeling and optimization. ICCAD (2018)
Dimitrios Stamoulis, Ting-Wu Rudy Chin, Anand Krishnan Prakash, Haocheng Fang, Sribhuvan Sajja, Mitchell Bognar, Diana Marculescu
Designing adaptive neural networks for energy-constrained image classification. ICCAD (2018)
Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis. Computer 51 (7) (2018)
Ting-Wu Chin, Cha Zhang, Diana Marculescu
Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks. CoRR (2018)
Diana Marculescu, Dimitrios Stamoulis, Ermao Cai
Hardware-Aware Machine Learning: Modeling and Optimization. CoRR (2018)
Dimitrios Stamoulis, Ting-Wu Chin, Anand Krishnan Prakash, Haocheng Fang, Sribhuvan Sajja, Mitchell Bognar, Diana Marculescu
Designing Adaptive Neural Networks for Energy-Constrained Image Classification. CoRR (2018)
Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks. CoRR (2017)
Zhuo Chen, Diana Marculescu
Task Scheduling for Heterogeneous Multicore Systems. CoRR (2017)
Ermao Cai, Diana Marculescu
Temperature Effect Inversion-Aware Power-Performance Optimization for FinFET-Based Multicore Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36 (11) (2017)
Da-Cheng Juan, Neil Shah, Mingyu Tang, Zhiliang Qian, Diana Marculescu, Christos Faloutsos
M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings. DSAA (2017)
Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu
HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks. CoRR (2017)
Wonje Choi, Karthi Duraisamy, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems. CoRR (2017)
Yatish Turakhia, Guangshuo Liu, Siddharth Garg, Diana Marculescu
Thread Progress Equalization: Dynamically Adaptive Power-Constrained Performance Optimization of Multi-Threaded Applications. IEEE Trans. Computers 66 (4) (2017)
Ruizhou Ding, Diana Marculescu
Leveraging Classification Models for River Forecasting. SIGSPATIAL/GIS (2017)
Ryan Gary Kim, Wonje Choi, Zhuo Chen, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
Imitation Learning for Dynamic VFI Control in Large-Scale Manycore Systems. IEEE Trans. Very Large Scale Integr. Syst. 25 (9) (2017)
Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis. CoRR (2017)
Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu
\emphNeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks. ACML (2017)
Biresh Kumar Joardar, Wonje Choi, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
3D NoC-Enabled Heterogeneous Manycore Architectures for Accelerating CNN Training: Performance and Thermal Trade-offs. NOCS (2017)
Ruizhou Ding, Dimitrios Stamoulis, Kartikeya Bhardwaj, Diana Marculescu, Radu Marculescu
Enhancing precipitation models by capturing multivariate and multiscale climate dynamics. CySWATER@CPSWeek (2017)
Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, R. D. (Shawn) Blanton
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks. ACM Great Lakes Symposium on VLSI (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Diana Marculescu