Chenan Wang

According to our database, Chenan Wang authored at least 14 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing.

Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang, Eunhye Grace Ko, Lily Boddy, Chenan Wang, Tianhao Li, Alexander Rasgon, Junyuan Hong, Min Kyung Lee, Chenxi Yuan, Qi Long, Ying Ding, Tianlong Chen, Kaidi Xu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning.

Chenan Wang, Pu Zhao, Siyue Wang, Xue Lin

CoRR, 2024

Dynamic Adversarial Attacks on Autonomous Driving Systems.

Amirhosein Chahe, Chenan Wang, Abhishek Jeyapratap, Kaidi Xu, Lifeng Zhou

Proceedings of the Robotics: Science and Systems XX, 2024

Design Education in Human-AI Co-Creation: A Qualitative Analysis of Using Image Generative Models in Conceptual Design.

Yuancong Shou, Xiyuan Zhang, Chenan Wang, Aoyi Shen, Hao Fan, Ruiyi Cai, Yang Yin, Jiangping Zhou, Chunlei Chai, Shouqian Sun

Proceedings of the 17th International Symposium on Computational Intelligence and Design, 2024

Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?

Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models.

Jinhao Duan, Hao Cheng, Shiqi Wang, Alex Zavalny, Chenan Wang, Renjing Xu, Bhavya Kailkhura, Kaidi Xu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models.

Jinhao Duan, Hao Cheng, Shiqi Wang, Chenan Wang, Alex Zavalny, Renjing Xu, Bhavya Kailkhura, Kaidi Xu

CoRR, 2023

Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation.

Zhengyue Zhao, Jinhao Duan, Xing Hu, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen

CoRR, 2023

Semantic Adversarial Attacks via Diffusion Models.

Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression.

Hao Cheng, Kaidi Xu, Zhengang Li, Pu Zhao, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

2021

Mode-dependent guaranteed cost event-triggered synchronization for singular semi-markov jump neural networks with time delays.

Yidao Ji, Hang Fu, Chenan Wang, Wei Wu

Neurocomputing, 2021

Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations.

Hao Cheng, Kaidi Xu, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn

CoRR, 2021

Mode-Dependent Event-Triggered Fault Detection for Nonlinear Semi-Markov Jump Systems With Quantization: Application to Robotic Manipulator.

Yidao Ji, Chenan Wang, Wei Wu

IEEE Access, 2021

2018

Design method of rolling force sensor based on object orientation.

Junli Wang, Haixiong Wang, Chenan Wang

Proceedings of the International Symposium on Big Data and Artificial Intelligence, 2018