Ken Gu

4 papers · 2019–2024 · 4 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 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer

Venues

AAAI (1) EMNLP (1) IJCAI (1) NAACL (1)

Top co-authors

Yunsheng Bai (2) Yizhou Sun (2) Wei Wang (2) Hao Ding (2) Mike A Merrill (1) Akshay Budhkar (1) Keying Kuang (1) Jeffrey Heer (1) Richard-John Lin (1) Ting Chen (1)

Research topics

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

Keywords

unsupervised learning (1) transformer architecture (1) representation learning (1) link prediction (1) benchmark evaluation (1) graph classification (1) embedding learning (1) graph representation learning (1) multimodal learning (1) model pretraining (1) graph embedding (1) set matching (1) node embedding (1) language model agent (1) tabular data (1) graph edit distance (1) text data (1) scientific discovery (1) multi-scale attention (1) code execution (1)

Papers

BLADE: Benchmarking Language Model Agents for Data-Driven Science EMNLP 2024 A Package for Learning on Tabular and Text Data with Transformers NAACL 2021 Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching AAAI 2020 Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity IJCAI 2019