Kexin Huang
26 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (13)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(49)
π
Interdisciplinary Bridge
π
Triple Crown
π
Grand Slam
β‘
Prolific Year
(10)
β
The Questioner
(2)
ποΈ
Keyword Collector
(89)
π
Century Club
(25)
Conferences
NIPS (8)
ICML (5)
EMNLP (4)
ICLR (3)
ACL (2)
NAACL (2)
AAAI (1)
UAI (1)
Top co-authors
Keywords
large language model
(6)
graph neural network
(5)
safety evaluation
(2)
few-shot learning
(1)
uncertainty quantification
(1)
graph representation learning
(1)
feature extraction
(1)
token selection
(1)
information retrieval
(1)
toxicity detection
(1)
text representation
(1)
bias detection
(1)
privacy preservation
(1)
geometric deep learning
(1)
out-of-distribution generalization
(1)
knowledge unlearning
(1)
ai safety
(1)
knowledge base
(1)
safety alignment
(1)
question answering
(1)
Papers
Probing the Safety Robustness of LLMs in Latent Space
ACL 2026
LaMP-Val: Large Language Models Empower Personalized Valuation in Auction
EMNLP 2025
From Evasion to Concealment: Stealthy Knowledge Unlearning for LLMs
ACL 2025
Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking
EMNLP 2025
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
ICLR 2025
Toward Generalizing Visual Brain Decoding to Unseen Subjects
ICLR 2025
Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response
ICML 2025
Automated Hypothesis Validation with Agentic Sequential Falsifications
ICML 2025
Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?
ICML 2025
Fake Alignment: Are LLMs Really Aligned Well?
NAACL 2024
Flames: Benchmarking Value Alignment of LLMs in Chinese
NAACL 2024
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
ICML 2024
Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
ICML 2024
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models
NIPS 2024
RelBench: A Benchmark for Deep Learning on Relational Databases
NIPS 2024
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
NIPS 2024
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
NIPS 2024
ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models
EMNLP 2024
On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection
ICLR 2024
High dimensional, tabular deep learning with an auxiliary knowledge graph
NIPS 2023
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
NIPS 2023
Uncertainty-aware pseudo-labeling for quantum calculations
UAI 2022
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks
NIPS 2022
Graph Meta Learning via Local Subgraphs
NIPS 2020
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation
EMNLP 2020
CASTER: Predicting Drug Interactions with Chemical Substructure Representation
AAAI 2020