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Caiwen Ding
Assistant Professor/Computing

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Scholarly Contributions

10 Scholarly Contributions

8
Conference Proceedingss
2
Journal Articles
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning
Shanglin Zhou, Fei Miao, Mikhail A Bragin, Lynn Pepin, Deniz Gurevin, Caiwen Ding
2023
Research Type: Journal Article
Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models
Zigeng Wang, Caiwen Ding, Ji Li, Mikhail Bragin, Shaoyi Huang, Bingbing Li
Research Type: Conference Proceedings
Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models
Lijun Zhang, Kaleel Mahmood, Xiao Liu, Hui Guan, Caiwen Ding
Research Type: Conference Proceedings
Variance of the Gradient Also Matters: Privacy Leakage from Gradients
Chenghong Wang, Dan Guo, Yijue Wang, Binghui Wang, Chao Shang, Jieren Deng, Qin Cao, Sanguthevar Rajasekaran, Caiwen Ding, Hang Liu, Xianrui Meng
Research Type: Conference Proceedings
Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation
Bingbing Li, Lynn Pepin, Shanglin Zhou, Caiwen Ding, Deniz Gurevin, Mikhail A Bragin, Fei Miao
Research Type: Conference Proceedings
Efficient Traffic State Forecasting using Spatio-Temporal Network Dependencies: A Sparse Graph Neural Network Approach
Caiwen Ding, Syed Islam, Shaoyi Huang, Bin Lei, Monika Filipovska
Research Type: Conference Proceedings
Against Membership Inference Attack: Pruning is All You Need
Yijue Wang, Zigeng Wang, Jinbo Bi, Sanguthevar Rajasekaran, Caiwen Ding
Research Type: Conference Proceedings
Detecting Gender Bias in Transformer-based Models: A Case Study on BERT
Caiwen Ding, Yueying Liang, Bingbing Li, Hongwu Peng, Hang Liu, Binghui Wang, Weiwen Jiang, Rajat Sainju, Junhuan Yang, Lei Yang
Research Type: Conference Proceedings
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation
Songyang Han, Sanbao Su, Yiming Li, Fei Miao, Caiwen Ding, Zhili Zhang, Chen Feng
Research Type: Conference Proceedings
DefectTrack: A Deep learning-based Multi-Object Tracking Algorithm for Quantitative Defect Analysis of In-situ TEM Videos in Real-time
Caiwen Ding
Research Type: Journal Article