Linke Guo

5 papers · 2023–2025 · 5 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 · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 👑 Triple Crown

Venues

CVPR (1) ICCV (1) ICLR (1) ICML (1) NeurIPS (1)

Top co-authors

Gen Li (5) Jie Ji (5) Xiaolong Ma (5) Minghai Qin (3) Shiwei Liu (2) Lu Yin (2) Bin Ren (2) Fatemeh Afghah (2) Wei Niu (2) Geng Yuan (1)

Research topics

Machine Learning (5) Deep Learning (4) Application Areas (3) Optimization & Theory · Machine Learning (3) Techniques (2) Artificial Intelligence (1) Computer Vision (1) Architectures (1) Core AI (1) Core Methods (1) Models (1) Optimization & Theory · Deep Learning (1) Processing (1)

Keywords

model compression (3) dynamic sparse training (2) neural network (2) model unlearning (1) video super-resolution (1) sharpness-aware minimization (1) neural network optimization (1) loss landscape (1) network optimization (1) bilevel optimization (1) diffusion model (1) model generalization (1) sparse training (1) sparse neural network (1) concept forgetting (1) concept erasure (1) selective forgetting (1) weight sparsity (1) gradient masking (1) spatial-temporal information (1)

Papers

Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization ICCV 2025 Advancing Dynamic Sparse Training by Exploring Optimization Opportunities ICML 2024 A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training NeurIPS 2024 NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization ICLR 2024 Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting CVPR 2023