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2020 – today
- 2024
[j6]Qianfan Wang
, Yanzhi Chen, Jifan Liang, Xiao Ma:
A New Joint Source-Channel Coding for Short-Packet Communications. IEEE Trans. Commun. 72(1): 28-37 (2024)- [i8]Yanzhi Chen, Zijing Ou, Adrian Weller, Yingzhen Li:
Mutual Information Multinomial Estimation. CoRR abs/2408.09377 (2024) - [i7]Aoting Hu, Yanzhi Chen, Renjie Xie, Adrian Weller:
On the Weaknesses of Backdoor-based Model Watermarking: An Information-theoretic Perspective. CoRR abs/2409.06130 (2024) - 2023
- [c10]Qianfan Wang, Yanzhi Chen, Jifan Liang, Baodian Wei, Xiao Ma:
A New Joint Source-Channel Coding in the Short Blocklength Regime. GLOBECOM (Workshops) 2023: 1566-1571 - [c9]Yanzhi Chen, Michael U. Gutmann, Adrian Weller:
Is Learning Summary Statistics Necessary for Likelihood-free Inference? ICML 2023: 4529-4544 - [c8]Yanzhi Chen, Jifan Liang, Qianfan Wang, Xiao Ma:
A New Joint Source-Channel Coding Scheme with Overlay Spread Spectrum Transmission. WCSP 2023: 239-244 - [i6]Yanzhi Chen, Weihao Sun, Yingzhen Li, Adrian Weller:
Scalable Infomin Learning. CoRR abs/2302.10701 (2023) - 2022
- [c7]Yanzhi Chen, Weihao Sun, Yingzhen Li, Adrian Weller:
Scalable Infomin Learning. NeurIPS 2022 - 2021
- [j5]Renjie Xie, Wei Xu, Yanzhi Chen, Jiabao Yu, Aiqun Hu, Derrick Wing Kwan Ng, A. Lee Swindlehurst:
A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication. IEEE Trans. Inf. Forensics Secur. 16: 4435-4450 (2021) - [c6]Yanzhi Chen, Dinghuai Zhang, Michael U. Gutmann, Aaron C. Courville, Zhanxing Zhu:
Neural Approximate Sufficient Statistics for Implicit Models. ICLR 2021 - [i5]Andrei Margeloiu, Matthew Ashman, Umang Bhatt, Yanzhi Chen, Mateja Jamnik, Adrian Weller:
Do Concept Bottleneck Models Learn as Intended? CoRR abs/2105.04289 (2021) - [i4]Renjie Xie, Wei Xu, Yanzhi Chen, Jiabao Yu, Aiqun Hu, Derrick Wing Kwan Ng, A. Lee Swindlehurst:
A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication. CoRR abs/2108.04436 (2021) - 2020
- [c5]Yanzhi Chen, Renjie Xie, Zhanxing Zhu:
On Breaking Deep Generative Model-based Defenses and Beyond. ICML 2020: 1736-1745 - [i3]Yanzhi Chen, Dinghuai Zhang, Michael U. Gutmann, Aaron C. Courville, Zhanxing Zhu:
Neural Approximate Sufficient Statistics for Implicit Models. CoRR abs/2010.10079 (2020)
2010 – 2019
- 2019
- [j4]Yanzhi Chen, Yan Wo, Renjie Xie, Chudan Wu, Guoqiang Han:
Deep Secure Quantization: On secure biometric hashing against similarity-based attacks. Signal Process. 154: 314-323 (2019) - [c4]Yanzhi Chen, Michael U. Gutmann:
Adaptive Gaussian Copula ABC. AISTATS 2019: 1584-1592 - [i2]Renjie Xie, Yanzhi Chen, Yan Wo, Qiao Wang:
A Deep, Information-theoretic Framework for Robust Biometric Recognition. CoRR abs/1902.08785 (2019) - [i1]Yanzhi Chen, Michael U. Gutmann:
Adaptive Gaussian Copula ABC. CoRR abs/1902.10704 (2019) - 2014
- [j3]Yanzhi Chen, Xi Li, Anthony R. Dick, Rhys Hill:
Ranking consistency for image matching and object retrieval. Pattern Recognit. 47(3): 1349-1360 (2014) - [c3]Yanzhi Chen, Anthony R. Dick, Xi Li, Rhys Hill:
Context Based Re-ranking for Object Retrieval. ACCV (1) 2014: 196-210 - 2013
- [j2]Yanzhi Chen, Anthony R. Dick, Xi Li, Anton van den Hengel:
Spatially aware feature selection and weighting for object retrieval. Image Vis. Comput. 31(12): 935-948 (2013) - 2012
- [j1]Yanzhi Chen, Xi Li, Anthony R. Dick, Anton van den Hengel:
Boosting Object Retrieval With Group Queries. IEEE Signal Process. Lett. 19(11): 765-768 (2012) - [c2]Yanzhi Chen, Anthony R. Dick, Xi Li:
Visual Distance Measures for Object Retrieval. DICTA 2012: 1-8 - 2010
- [c1]Yanzhi Chen, Anthony R. Dick, Anton van den Hengel:
Image Retrieval with a Visual Thesaurus. DICTA 2010: 8-14
Coauthor Index
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