Kexin Huang
26 papers · 2020–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Kexin Huang?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Jure Leskovec, Qian Huang, Shiyu Zhao
8 papers
· 2023–2025
· NeurIPS, ICML, ICLR
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Automated Hypothesis Validation with Agentic Sequential Falsifications
ICML 2025
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
ICLR 2025
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
NeurIPS 2024
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
ICML 2024
RelBench: A Benchmark for Deep Learning on Relational Databases
NeurIPS 2024
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
NeurIPS 2024
High dimensional, tabular deep learning with an auxiliary knowledge graph
NeurIPS 2023
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
NeurIPS 2023
7 papers whose co-authors appear nowhere else under this name
Toward Generalizing Visual Brain Decoding to Unseen Subjects
ICLR 2025
On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection
ICLR 2024
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks
NeurIPS 2022
Uncertainty-aware pseudo-labeling for quantum calculations
UAI 2022
CASTER: Predicting Drug Interactions with Chemical Substructure Representation
AAAI 2020
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation
EMNLP 2020
Graph Meta Learning via Local Subgraphs
NeurIPS 2020