Pu Zhao

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Top Venues

Int. J. Hum. Comput. Stud.

Publications

Chenan Wang, Pu Zhao, Siyue Wang, Xue Lin
Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning. CoRR (2024)
Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang
InstructGIE: Towards Generalizable Image Editing. CoRR (2024)
Xuan Shen, Zhenglun Kong, Changdi Yang, Zhaoyang Han, Lei Lu, Peiyan Dong, Cheng Lyu, Chih-hsiang Li, Xuehang Guo, Zhihao Shu, Wei Niu, Miriam Leeser, Pu Zhao, Yanzhi Wang
EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge. CoRR (2024)
Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang
Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge. CVPR (2023)
Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang
Towards Real-Time Segmentation on the Edge. AAAI (2023)
Yifan Gong, Pu Zhao, Zheng Zhan, Yushu Wu, Chao Wu, Zhenglun Kong, Minghai Qin, Caiwen Ding, Yanzhi Wang
Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge. DAC (2023)
Hao Cheng, Jiahang Cao, Erjia Xiao, Pu Zhao, Mengshu Sun, Jiaxu Wang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu
Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network. CoRR (2023)
Yize Li, Pu Zhao, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn
Less is More: Data Pruning for Faster Adversarial Training. SafeAI@AAAI (2023)
Paul D. S. Fink, Stacy A. Doore, Xue Lin, Matthew Maring, Pu Zhao, Aubree Nygaard, Grant Beals, Richard R. Corey, Raymond J. Perry, Katherine Freund, Velin Dimitrov, Nicholas A. Giudice
The Autonomous Vehicle Assistant (AVA): Emerging technology design supporting blind and visually impaired travelers in autonomous transportation. Int. J. Hum. Comput. Stud. 179 (2023)
Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu
Advancing Model Pruning via Bi-level Optimization. NeurIPS (2022)