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Zhanfeng Mo

5 papers · 2019–2025 · 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 Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸ—ΊοΈ Taxonomy Completionist (10) πŸ“ˆ Trend Setter

Venues

ICLR (3) ICML (1) IJCAI (1)

Top co-authors

Sinno Jialin Pan (4) Haosen Shi (2) Xiao Wang (1) Hao Chen (1) Zhouwang Yang (1) Long-Kai Huang (1) Tianze Luo (1)

Research topics

Machine Learning (4) Artificial Intelligence (3) Deep Learning (3) Core AI (3) Optimization & Theory (3) Application Areas (2) Architectures (2) Learning Types (1) Techniques (1)

Keywords

neural pruning (2) lottery ticket hypothesis (1) graph representation learning (1) model pretraining (1) neural network optimization (1) rademacher complexity (1) generalization bound (1) memory efficiency (1) sparsity level (1) low-rank optimization (1) parameter efficiency (1) ordinary differential equation (1) residual network (1) fokker-planck equation (1) weight normalization (1) model efficiency (1) multi-resolution analysis (1) inference speedup (1) sparse network (1) graph convolutional network (1)

Papers

Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization ICLR 2025 Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation ICLR 2025 Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network ICLR 2024 Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint ICML 2023 Theoretical Investigation of Generalization Bound for Residual Networks IJCAI 2019