Ruizhou Ding - RankMe

30 papers A* 3A 1B 1C 1Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Efficient Test Chip Design via Smart Computation. ACM Trans. Design Autom. Electr. Syst. Chenlei Fang, Qicheng Huang, Zeye Liu, Ruizhou Ding, Ronald D. Blanton
2023	J	`jnl`	QUIDAM: A Framework for Quantization-aware DNN Accelerator and Model Co-Exploration. ACM Trans. Embed. Comput. Syst. Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu
2022	J	`jnl`	QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality. CoRR Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu
2022	J	`jnl`	QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN Accelerators. CoRR Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu
2022	J	`jnl`	QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-Exploration. CoRR Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu
2020	J	`jnl`	Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization. IEEE J. Sel. Top. Signal Process. Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
2020	A*	`conf`	Towards Efficient Model Compression via Learned Global Ranking. CVPR Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu
2020	A	`conf`	ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection. WACV Zhuo Chen, Jiyuan Zhang, Ruizhou Ding, Diana Marculescu
2019	J	`jnl`	AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling. CoRR Ting-Wu Chin, Ruizhou Ding, Diana Marculescu
2019	—	`conf`	AdaScale: Towards Real-time Video Object Detection using Adaptive Scaling. SysML Ting-Wu Chin, Ruizhou Ding, Diana Marculescu
2019	A*	`conf`	FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. DAC Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, R. D. (Shawn) Blanton
2019	J	`jnl`	FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. CoRR Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, Ronald D. Blanton
2019	C	`conf`	IPSA: Integer Programming via Sparse Approximation for Efficient Test-Chip Design. ICCD Qicheng Huang, Chenlei Fang, Zeye Liu, Ruizhou Ding, R. D. Shawn Blanton
2019	J	`jnl`	LeGR: Filter Pruning via Learned Global Ranking. CoRR Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu
2019	A*	`conf`	Regularizing Activation Distribution for Training Binarized Deep Networks. CVPR Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu
2019	J	`jnl`	Regularizing Activation Distribution for Training Binarized Deep Networks. CoRR Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu
2019	J	`jnl`	Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization. CoRR Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
2019	—	`conf`	Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours. ECML/PKDD (2) Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
2019	J	`jnl`	Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours. CoRR Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
2019	J	`jnl`	Single-Path NAS: Device-Aware Efficient ConvNet Design. CoRR Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
2019	J	`jnl`	Understanding the Impact of Label Granularity on CNN-based Image Classification. CoRR Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu
2019	J	`jnl`	ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection. CoRR Zhuo Chen, Jiyuan Zhang, Ruizhou Ding, Diana Marculescu
2018	J	`jnl`	LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks. CoRR Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, R. D. (Shawn) Blanton
2018	J	`jnl`	Lightening the Load with Highly Accurate Storage- and Energy-Efficient LightNNs. ACM Trans. Reconfigurable Technol. Syst. Ruizhou Ding, Zeye Liu, R. D. (Shawn) Blanton, Diana Marculescu
2018	—	`conf`	Quantized deep neural networks for energy efficient hardware-based inference. ASP-DAC Ruizhou Ding, Zeye Liu, R. D. (Shawn) Blanton, Diana Marculescu
2018	—	`conf`	Understanding the Impact of Label Granularity on CNN-Based Image Classification. ICDM Workshops Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu
2017	—	`conf`	Enhancing precipitation models by capturing multivariate and multiscale climate dynamics. CySWATER@CPSWeek Ruizhou Ding, Dimitrios Stamoulis, Kartikeya Bhardwaj, Diana Marculescu, Radu Marculescu
2017	—	`conf`	Leveraging Classification Models for River Forecasting. SIGSPATIAL/GIS Ruizhou Ding, Diana Marculescu
2017	—	`conf`	LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks. ACM Great Lakes Symposium on VLSI Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, R. D. (Shawn) Blanton
2015	B	`conf`	Roadside-unit caching in vehicular ad hoc networks for efficient popular content delivery. WCNC Ruizhou Ding, Tianyu Wang, Lingyang Song, Zhu Han, Jianjun Wu