Shizhe Ding

3 papers · 2021–2024 · 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 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (10) 📈 Trend Setter

Venues

NeurIPS (2) ACML (1)

Top co-authors

Dongbo Bu (3) Ruizhi Liu (2) Jingyan Sui (2) Boyang Xia (1) Zhisheng Zeng (1) Liming Xu (1) Xingquan Li (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Deep Learning (2) Mathematics & Optimization (2) Core Methods (2) Optimization (2) Reinforcement Learning (1) Architectures (1) Core AI (1) Learning Paradigms (1) Learning Types (1) Methods (1) Optimization & Theory (1)

Keywords

neural network (2) deep reinforcement learning (1) feature extraction (1) function approximation (1) traveling salesman problem (1) steiner tree (1) residual learning (1) pointer network (1) chip design (1) hierarchical refinement (1) scattered data interpolation (1) 3-opt heuristics (1) global routing (1) overflow avoidance (1) neural network interpolation (1) combinatorial optimization (1) scattered data (1)

Papers

NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design NeurIPS 2024 Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement NeurIPS 2023 Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning ACML 2021