Yanzhi Chen

According to our database, Yanzhi Chen authored at least 21 papers between 2010 and 2024.

Collaborative distances:

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

2024

A New Joint Source-Channel Coding for Short-Packet Communications.

Qianfan Wang, Yanzhi Chen, Jifan Liang, Xiao Ma

IEEE Trans. Commun., January, 2024

On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Perspective.

Shoaib Ahmed Siddiqui, Yanzhi Chen, Juyeon Heo, Menglin Xia, Adrian Weller

CoRR, 2024

On the Weaknesses of Backdoor-based Model Watermarking: An Information-theoretic Perspective.

Aoting Hu, Yanzhi Chen, Renjie Xie, Adrian Weller

CoRR, 2024

Mutual Information Multinomial Estimation.

Yanzhi Chen, Zijing Ou, Adrian Weller, Yingzhen Li

CoRR, 2024

2023

A New Joint Source-Channel Coding Scheme with Overlay Spread Spectrum Transmission.

Yanzhi Chen, Jifan Liang, Qianfan Wang, Xiao Ma

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

Is Learning Summary Statistics Necessary for Likelihood-free Inference?

Yanzhi Chen, Michael U. Gutmann, Adrian Weller

Proceedings of the International Conference on Machine Learning, 2023

A New Joint Source-Channel Coding in the Short Blocklength Regime.

Qianfan Wang, Yanzhi Chen, Jifan Liang, Baodian Wei, Xiao Ma

Proceedings of the IEEE Globecom Workshops 2023, 2023

2022

Scalable Infomin Learning.

Yanzhi Chen, Weihao Sun, Yingzhen Li, Adrian Weller

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication.

Renjie Xie, Wei Xu, Yanzhi Chen, Jiabao Yu, Aiqun Hu, Derrick Wing Kwan Ng, A. Lee Swindlehurst

IEEE Trans. Inf. Forensics Secur., 2021

Do Concept Bottleneck Models Learn as Intended?

Andrei Margeloiu, Matthew Ashman, Umang Bhatt, Yanzhi Chen, Mateja Jamnik, Adrian Weller

CoRR, 2021

Neural Approximate Sufficient Statistics for Implicit Models.

Yanzhi Chen, Dinghuai Zhang, Michael U. Gutmann, Aaron C. Courville, Zhanxing Zhu

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

On Breaking Deep Generative Model-based Defenses and Beyond.

Yanzhi Chen, Renjie Xie, Zhanxing Zhu

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Deep Secure Quantization: On secure biometric hashing against similarity-based attacks.

Yanzhi Chen, Yan Wo, Renjie Xie, Chudan Wu, Guoqiang Han

Signal Process., 2019

A Deep, Information-theoretic Framework for Robust Biometric Recognition.

Renjie Xie, Yanzhi Chen, Yan Wo, Qiao Wang

CoRR, 2019

Adaptive Gaussian Copula ABC.

Yanzhi Chen, Michael U. Gutmann

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2014

Ranking consistency for image matching and object retrieval.

Yanzhi Chen, Xi Li, Anthony R. Dick, Rhys Hill

Pattern Recognit., 2014

Context Based Re-ranking for Object Retrieval.

Yanzhi Chen, Anthony R. Dick, Xi Li, Rhys Hill

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Spatially aware feature selection and weighting for object retrieval.

Yanzhi Chen, Anthony R. Dick, Xi Li, Anton van den Hengel

Image Vis. Comput., 2013

2012

Boosting Object Retrieval With Group Queries.

Yanzhi Chen, Xi Li, Anthony R. Dick, Anton van den Hengel

IEEE Signal Process. Lett., 2012

Visual Distance Measures for Object Retrieval.

Yanzhi Chen, Anthony R. Dick, Xi Li

Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

2010

Image Retrieval with a Visual Thesaurus.

Yanzhi Chen, Anthony R. Dick, Anton van den Hengel

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010