Caiwen Ding
University of Connecticut
H-index: 26
North America-United States
Top articles of Caiwen Ding
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference | arXiv preprint arXiv:2403.05796 | Binghao Lu Caiwen Ding Jinbo Bi Dongjin Song | 2024/3/9 |
PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration | Deniz Gurevin Mohsin Shan Shaoyi Huang MD Amit Hasan Caiwen Ding | 2024/3/2 | |
Collaborative multi-object tracking with conformal uncertainty propagation | IEEE Robotics and Automation Letters | Sanbao Su Songyang Han Yiming Li Zhili Zhang Chen Feng | 2024/2 |
Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements | arXiv preprint arXiv:2401.12520 | Jiahui Zhao Ziyi Meng Stepan Gordeev Zijie Pan Dongjin Song | 2024/1/23 |
Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAM | arXiv preprint arXiv:2401.11664 | Bingbing Li Geng Yuan Zigeng Wang Shaoyi Huang Hongwu Peng | 2024/1/22 |
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training | Hongwu Peng Xi Xie Kaustubh Shivdikar Md Amit Hasan Jiahui Zhao | 2024/4/27 | |
Deediff: Dynamic uncertainty-aware early exiting for accelerating diffusion model generation | arXiv preprint arXiv:2309.17074 | Shengkun Tang Yaqing Wang Caiwen Ding Yi Liang Yao Li | 2023/9/29 |
Automatic Subnetwork Search Through Dynamic Differentiable Neuron Pruning | Zigeng Wang Bingbing Li Xia Xiao Tianyun Zhang Mikhail A Bragin | 2023/4/5 | |
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference | Hongwu Peng Ran Ran Yukui Luo Jiahui Zhao Shaoyi Huang | 2023/9/25 | |
Uncertainty quantification of collaborative detection for self-driving | Sanbao Su Yiming Li Sihong He Songyang Han Chen Feng | 2023/5/29 | |
FlashVideo: A Framework for Swift Inference in Text-to-Video Generation | arXiv preprint arXiv:2401.00869 | Bin Lei Caiwen Ding | 2023/12/30 |
Pasnet: Polynomial architecture search framework for two-party computation-based secure neural network deployment | Hongwu Peng Shanglin Zhou Yukui Luo Nuo Xu Shijin Duan | 2023/7/9 | |
Tango: rethinking quantization for graph neural network training on GPUs | 2023 the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) | Shiyang Chen Da Zheng Caiwen Ding Chengying Huan Yuede Ji | 2023/8/2 |
Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C++ | Bin Lei Caiwen Ding Le Chen Pei-Hung Lin Chunhua Liao | 2023/9/25 | |
Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles | [Best Paper Award] The DCAA workshop of AAAI 2023 | Songyang Han Shanglin Zhou Lynn Pepin Jiangwei Wang Caiwen Ding | 2023/2/8 |
Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs | arXiv preprint arXiv:2311.04417 | Hongwu Peng Caiwen Ding Tong Geng Sutanay Choudhury Kevin Barker | 2023/11/8 |
Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering | Ce Feng Nuo Xu Wujie Wen Parv Venkitasubramaniam Caiwen Ding | 2023/5/21 | |
A multi-agent reinforcement learning approach for safe and efficient behavior planning of connected autonomous vehicles | IEEE Transactions on vehicular Technology | Irene Vilà Jordi Pérez-Romero Oriol Sallent Anna Umbert | 2021/7/27 |
Neurogenesis dynamics-inspired spiking neural network training acceleration | Shaoyi Huang Haowen Fang Kaleel Mahmood Bowen Lei Nuo Xu | 2023/7/9 | |
Deep Learning for Automated Quantification of Irradiation Defects in TEM Data: Relating Pixel-Level Errors to Defect Properties | Rajat Sainju Graham Roberts Wei-Ying Chen Brian Hutchinson Qian Yang | 2023/8/1 |
Co-Authors
