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Kexin Huang

26 papers · 2020–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (49) πŸŒ‰ Interdisciplinary Bridge πŸ‘‘ Triple Crown πŸ† Grand Slam ⚑ Prolific Year (10) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (89) πŸ’Ž Century Club (25)

Conferences

NIPS (8) ICML (5) EMNLP (4) ICLR (3) ACL (2) NAACL (2) AAAI (1) UAI (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