Xinhai Hou

4 papers · 2022–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

CVPR (2) AAAI (1) NeurIPS (1)

Top co-authors

Cheng Jiang (3) Akhil Kondepudi (3) Honglak Lee (3) Todd C. Hollon (2) Christian Freudiger (2) Asadur Chowdury (2) Bryan Wang (1) Asadur Zaman Chowdury (1) Todd Hollon (1) Daniel Orringer (1)

Research topics

Computer Vision (3) Deep Learning (3) Domain-Specific (3) Healthcare & Medicine (2) Machine Learning (2) Clinical (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Artificial Intelligence (1) Analysis (1) Core AI (1) Models (1) Processing (1)

Keywords

medical imaging (2) contrastive learning (1) reinforcement learning (1) policy optimization (1) image restoration (1) self-supervised learning (1) weakly supervised learning (1) visual reasoning (1) diffusion model (1) tool use (1) multimodal reasoning (1) whole slide image (1) contrastive representation learning (1) faithfulness evaluation (1) unpaired learning (1) cancer diagnosis (1) biomedical microscopy (1) whole slide imaging (1) biomedical optical imaging (1) step calibration (1)

Papers

CodeV: Code with Images for Faithful Visual Reasoning via Tool-Aware Policy Optimization CVPR 2026 Step-Calibrated Diffusion for Biomedical Optical Image Restoration AAAI 2025 Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy CVPR 2023 OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology NeurIPS 2022