| 2026 | ISIT | Random Coding Union Bound for Systematic Linear Block Codes. | Yanzhi Chen, Jifan Liang, Baodian Wei, Xiao Ma |
| 2025 | COLING | On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Evaluation Framework. | Shoaib Ahmed Siddiqui, Yanzhi Chen, Juyeon Heo, Menglin Xia, Adrian Weller |
| 2023 | GLOBECOM | A New Joint Source-Channel Coding in the Short Blocklength Regime. | Qianfan Wang, Yanzhi Chen, Jifan Liang, Baodian Wei, Xiao Ma |
| 2023 | ICML | Is Learning Summary Statistics Necessary for Likelihood-free Inference? | Yanzhi Chen, Michael U. Gutmann, Adrian Weller |
| 2021 | ICLR | Neural Approximate Sufficient Statistics for Implicit Models. | Yanzhi Chen, Dinghuai Zhang, Michael U. Gutmann, Aaron C. Courville, Zhanxing Zhu |
| 2020 | ICML | On Breaking Deep Generative Model-based Defenses and Beyond. | Yanzhi Chen, Renjie Xie, Zhanxing Zhu |
| 2019 | AISTATS | Adaptive Gaussian Copula ABC. | Yanzhi Chen, Michael U. Gutmann |
| 2014 | ACCV | Context Based Re-ranking for Object Retrieval. | Yanzhi Chen, Anthony R. Dick, Xi Li, Rhys Hill |
| 2012 | DICTA | Visual Distance Measures for Object Retrieval. | Yanzhi Chen, Anthony R. Dick, Xi Li |
| 2010 | DICTA | Image Retrieval with a Visual Thesaurus. | Yanzhi Chen, Anthony R. Dick, Anton van den Hengel |