Harrison Bo Hua Zhu | Global Pathogen Analysis Platform (GPAP) AI Researchhttps://gpap-project.github.io/author/harrison-bo-hua-zhu/Harrison Bo Hua ZhuHugo Blox Builder (https://hugoblox.com)en-usThu, 08 Oct 2026 00:00:00 +0000https://gpap-project.github.io/author/harrison-bo-hua-zhu/avatar_hu1989391505434762695.jpgHarrison Bo Hua Zhuhttps://gpap-project.github.io/author/harrison-bo-hua-zhu/When Lower Reconstruction Loss Hurts: Distributionally Robust Refinement for Low-Bit LLM Quantizationhttps://gpap-project.github.io/publication/zhao-2026-when/Thu, 08 Oct 2026 00:00:00 +0000https://gpap-project.github.io/publication/zhao-2026-when/Multiple drivers of genomic novelty across ruminantshttps://gpap-project.github.io/publication/kavanagh-2026-multiple/Tue, 29 Sep 2026 00:00:00 +0000https://gpap-project.github.io/publication/kavanagh-2026-multiple/SR-OPSD: Self-Referenced On-Policy Self-Distillationhttps://gpap-project.github.io/publication/sun-2026-opsd/Mon, 10 Aug 2026 00:00:00 +0000https://gpap-project.github.io/publication/sun-2026-opsd/Interdomain Attention: Beyond Token-Level Key-Value Memoryhttps://gpap-project.github.io/publication/kiyohara-2026-interdomain/Sat, 23 May 2026 00:00:00 +0000https://gpap-project.github.io/publication/kiyohara-2026-interdomain/Saliency-Aware Regularized Quantization Calibration for Large Language Modelshttps://gpap-project.github.io/publication/zhao-2026-saliency/Thu, 07 May 2026 00:00:00 +0000https://gpap-project.github.io/publication/zhao-2026-saliency/Global approaches to infectious disease surveillance and modelinghttps://gpap-project.github.io/publication/khurana-2026-global/Fri, 01 May 2026 00:00:00 +0000https://gpap-project.github.io/publication/khurana-2026-global/Recurrent Memory for Online Interdomain Gaussian Processeshttps://gpap-project.github.io/publication/chen-2025-recurrent/Wed, 01 Jan 2025 00:00:00 +0000https://gpap-project.github.io/publication/chen-2025-recurrent/Configurable Multilingual ASR with Speech Summary Representationshttps://gpap-project.github.io/publication/zhu-2024-configurable/Sun, 06 Oct 2024 00:00:00 +0000https://gpap-project.github.io/publication/zhu-2024-configurable/Markovian Gaussian Process Variational Autoencodershttps://gpap-project.github.io/publication/zhu-2022-markovian/Sun, 01 Jan 2023 00:00:00 +0000https://gpap-project.github.io/publication/zhu-2022-markovian/A COVID-19 Model for Local Authorities of the United Kingdomhttps://gpap-project.github.io/publication/mishra-2022-covid/Tue, 01 Nov 2022 00:00:00 +0000https://gpap-project.github.io/publication/mishra-2022-covid/Authors’ Reply to the Discussion of ‘A COVID-19 Model for Local Authorities of the United Kingdom’ by Mishra et al. in Session 2 of the Royal Statistical Society’s Special Topic Meeting on COVID-19 Transmission: 11 June 2021https://gpap-project.github.io/publication/mishra-2022-authors/Tue, 01 Nov 2022 00:00:00 +0000https://gpap-project.github.io/publication/mishra-2022-authors/$$\pi $$VAE: a stochastic process prior for Bayesian deep learning with MCMChttps://gpap-project.github.io/publication/mishra-2022-stochastic/Mon, 17 Oct 2022 00:00:00 +0000https://gpap-project.github.io/publication/mishra-2022-stochastic/Convolutional Neural Processes for Inpainting Satellite Imageshttps://gpap-project.github.io/publication/pondaven-2022-convolutional/Tue, 24 May 2022 00:00:00 +0000https://gpap-project.github.io/publication/pondaven-2022-convolutional/Grassmann Stein Variational Gradient Descenthttps://gpap-project.github.io/publication/liu-2022-grassmann/Sat, 01 Jan 2022 00:00:00 +0000https://gpap-project.github.io/publication/liu-2022-grassmann/πVAE: a stochastic process prior for Bayesian deep learning with MCMChttps://gpap-project.github.io/publication/mishra-2020-stochastic/Sat, 01 Jan 2022 00:00:00 +0000https://gpap-project.github.io/publication/mishra-2020-stochastic/Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modellinghttps://gpap-project.github.io/publication/mishra-2021-comparing/Wed, 11 Aug 2021 00:00:00 +0000https://gpap-project.github.io/publication/mishra-2021-comparing/Aggregated Gaussian Processes with Multiresolution Earth Observation Covariateshttps://gpap-project.github.io/publication/zhu-2021-aggregated/Tue, 04 May 2021 00:00:00 +0000https://gpap-project.github.io/publication/zhu-2021-aggregated/Age groups that sustain resurging COVID-19 epidemics in the United Stateshttps://gpap-project.github.io/publication/monod-2021-groups/Tue, 02 Feb 2021 00:00:00 +0000https://gpap-project.github.io/publication/monod-2021-groups/