Publications

An up-to-date list of publications can be found on my Google Scholar profile.

*equal contribution

Preprint

• Wenlong Chen*, Naoki Kiyohara*, Harrison Bo Hua Zhu*, Jacob Curran-Sebastian, Samir Bhatt, Yingzhen Li. Recurrent Memory for Online Interdomain Gaussian Processes. Preprint 2025 [link]
• Wenlong Chen*, Bolian Li*, Ruqi Zhang, Yingzhen Li. Bayesian Computation in Deep Learning. Preprint 2025 (intended for the 2nd edition of the Handbook of Markov chain Monte Carlo) [link]

Conference

• Wenlong Chen*, Yegor Klochkov*, Yang Liu. Post-hoc Bias Scoring Is Optimal For Fair Classification. ICLR 2024 (Spotlight) [link]
• Wenlong Chen, Yingzhen Li. Calibrating Transformers via Sparse Gaussian Processes. ICLR 2023 [link]
• Andrew Campbell*, Wenlong Chen*, Vincent Stimper*, Jose Miguel Hernandez-Lobato, Yichuan Zhang. A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization. ICML 2021 [link]

Workshop

• Yohan Jung*, Hyungi Lee*, Wenlong Chen*, Thomas Möllenhoff, Yingzhen Li, Juho Lee, Mohammad Emtiyaz Khan. Compact Memory for K-prior Based Continual Learning. AABI 2025, Workshop Track [link]
• Wenlong Chen*, Wenlin Chen*, Lapo Rastrelli, Yingzhen Li. Your Image is Secretly the Last Frame of a Pseudo Video. ICLR 2025, DeLTa Workshop [link]