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Caiwen Ding
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RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference


Feb 22, 2023
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Shaoyi Huang, Xi Xie, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding

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* This is work is a updated version of arXiv:2209.09424, the original version has been withdrawn 
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Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles


Feb 15, 2023
Songyang Han, Shanglin Zhou, Lynn Pepin, Jiangwei Wang, Caiwen Ding, Fei Miao

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* This paper gets the Best Paper Award in the DCAA workshop of AAAI 2023 
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Dynamic Sparse Training via More Exploration


Dec 14, 2022
Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, Caiwen Ding

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Accelerating Dataset Distillation via Model Augmentation


Dec 12, 2022
Lei Zhang, Jie Zhang, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu

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All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management


Dec 09, 2022
Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang

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Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off


Nov 30, 2022
Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, Caiwen Ding

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Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning


Nov 26, 2022
Ethan Rathbun, Kaleel Mahmood, Sohaib Ahmad, Caiwen Ding, Marten van Dijk

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* 21 pages, 6 figures 
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You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model


Nov 21, 2022
Shengkun Tang, Yaqing Wang, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang, Dongkuan Xu

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