Jiayu Ye

4 papers · 2020–2026 · 2 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird

Venues

AAAI (3) MICCAI (1)

Top co-authors

Linjian Ma (2) Kurt Keutzer (2) Amir Gholami (2) Zhewei Yao (2) Michael Mahoney (1) Hao Wang (1) An Zeng (1) Dan Pan (1) Junhao Chen (1) Qingxiang Wang (1)

Research topics

Deep Learning (3) Machine Learning (3) Artificial Intelligence (2) Core AI (2) Optimization & Theory · Deep Learning (2) Techniques (2) Natural Language Processing (1) Application Areas (1) Core Methods (1) Learning Types (1) Optimization & Theory · Machine Learning (1) Resources & Methods (1)

Keywords

model compression (1) model quantization (1) contrastive learning (1) stochastic gradient descent (1) bert compression (1) neural network optimization (1) hyperparameter tuning (1) spatio-temporal analysis (1) model optimization (1) parameter compression (1) hessian analysis (1) ultra-low precision (1) semantic prototype (1) large batch training (1) group-wise quantization (1) depression assessment (1) mix-precision quantization (1) kronecker factorization (1) kronecker-factored approximate curvature (1) strong scaling (1)

Papers

Dep-MAP: A Multi-level Alignment Framework with Semantic Prototypes for Video-based Automatic Depression Assessment AAAI 2026 MedGNN: General Medical Image Recognition Network via GNN Visual Representations MICCAI 2025 Inefficiency of K-FAC for Large Batch Size Training AAAI 2020 Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT AAAI 2020