Yuqing Kong
10 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26) 🏃 Academic Marathon · Sprint 🏆 Grand Slam
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Core Methods
(4)
Learning Types · Machine Learning
(4)
Core AI
(3)
Mathematics & Optimization
(2)
Optimization
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Speech & Audio
(1)
Analysis
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Learning Types · Deep Learning
(1)
Keywords
peer review
(2)
mutual information
(2)
loss function
(2)
game theory
(1)
feature embedding
(1)
mechanism design
(1)
embedding learning
(1)
label noise
(1)
hierarchical model
(1)
statistical estimation
(1)
pairwise similarity
(1)
generative model
(1)
regret bound
(1)
deep neural network
(1)
deep metric learning
(1)
embedding space
(1)
soft label
(1)
evaluation metric
(1)
information flow
(1)
online learning
(1)
Papers
Benchmarking LLMs' Judgments with No Gold Standard
ICLR 2025
Calibrating “Cheap Signals” in Peer Review without a Prior
NeurIPS 2023
Learning to Bid in Repeated First-Price Auctions with Budgets
ICML 2023
Eliciting Thinking Hierarchy without a Prior
NeurIPS 2022
SURPRISE! and When to Schedule It.
IJCAI 2021
Information Elicitation Mechanisms for Statistical Estimation
AAAI 2020
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning
ECCV 2020
f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition
AAAI 2019
L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise
NeurIPS 2019
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds
ICLR 2019