Image Retrieval with a Visual Thesaurus. - Yanzhi Chen; Anthony R. Dick; Anton van den Hengel (DICTA, 2010)

Visual Distance Measures for Object Retrieval. - Yanzhi Chen; Anthony R. Dick; Xi Li 001 (DICTA, 2012)

Boosting Object Retrieval With Group Queries. - Yanzhi Chen; Xi Li 001; Anthony R. Dick; Anton van den Hengel (IEEE Signal Process. Lett., 2012)

Spatially aware feature selection and weighting for object retrieval. - Yanzhi Chen; Anthony R. Dick; Xi Li 001; Anton van den Hengel (Image Vis. Comput., 2013)

Context Based Re-ranking for Object Retrieval. - Yanzhi Chen; Anthony R. Dick; Xi Li 001; Rhys Hill (ACCV (1), 2014)

Ranking consistency for image matching and object retrieval. - Yanzhi Chen; Xi Li 001; Anthony R. Dick; Rhys Hill (Pattern Recognit., 2014)

Adaptive Gaussian Copula ABC. - Yanzhi Chen; Michael U. Gutmann (AISTATS, 2019)

A Deep, Information-theoretic Framework for Robust Biometric Recognition. - Renjie Xie; Yanzhi Chen; Yan Wo; Qiao Wang (CoRR, 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)

On Breaking Deep Generative Model-based Defenses and Beyond. - Yanzhi Chen; Renjie Xie; Zhanxing Zhu (ICML, 2020)

Neural Approximate Sufficient Statistics for Implicit Models. - Yanzhi Chen; Dinghuai Zhang; Michael U. Gutmann; Aaron C. Courville; Zhanxing Zhu (ICLR, 2021)

Do Concept Bottleneck Models Learn as Intended? - Andrei Margeloiu; Matthew Ashman; Umang Bhatt; Yanzhi Chen; Mateja Jamnik; Adrian Weller (CoRR, 2021)

A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication. - Renjie Xie; Wei Xu 001; Yanzhi Chen; Jiabao Yu; Aiqun Hu; Derrick Wing Kwan Ng; A. Lee Swindlehurst (IEEE Trans. Inf. Forensics Secur., 2021)

Scalable Infomin Learning. - Yanzhi Chen; Weihao Sun; Yingzhen Li; Adrian Weller (NeurIPS, 2022)

A New Joint Source-Channel Coding in the Short Blocklength Regime. - Qianfan Wang; Yanzhi Chen; Jifan Liang; Baodian Wei; Xiao Ma 001 (GLOBECOM (Workshops), 2023)

Is Learning Summary Statistics Necessary for Likelihood-free Inference? - Yanzhi Chen; Michael U. Gutmann; Adrian Weller (ICML, 2023)

A New Joint Source-Channel Coding Scheme with Overlay Spread Spectrum Transmission. - Yanzhi Chen; Jifan Liang; Qianfan Wang; Xiao Ma 001 (WCSP, 2023)

Mutual Information Multinomial Estimation. - Yanzhi Chen; Zijing Ou; Adrian Weller; Yingzhen Li (CoRR, 2024)

On the Weaknesses of Backdoor-based Model Watermarking: An Information-theoretic Perspective. - Aoting Hu; Yanzhi Chen; Renjie Xie; Adrian Weller (CoRR, 2024)

On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Perspective. - Shoaib Ahmed Siddiqui; Yanzhi Chen; Juyeon Heo; Menglin Xia; Adrian Weller (CoRR, 2024)

A New Joint Source-Channel Coding for Short-Packet Communications. - Qianfan Wang; Yanzhi Chen; Jifan Liang; Xiao Ma 001 (IEEE Trans. Commun., 2024)

On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Evaluation Framework. - Shoaib Ahmed Siddiqui; Yanzhi Chen; Juyeon Heo; Menglin Xia; Adrian Weller (COLING, 2025)