Lisha Chen
13 papers · 2013–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (24) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(66)
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(8)
Artificial Intelligence
(5)
Deep Learning
(4)
Mathematics & Optimization
(4)
Architectures
(4)
Core Methods
(4)
Optimization
(4)
Learning Paradigms
(3)
Learning Types
(3)
Speech & Audio
(2)
Bayesian & Probabilistic
(2)
Recognition
(2)
Computer Science
(1)
Computer Vision
(1)
Keywords
bilevel optimization
(3)
multi-objective learning
(2)
multi-objective optimization
(2)
population risk
(2)
gradient descent
(2)
conflict avoidance
(2)
few-shot learning
(2)
generalization performance
(2)
model-agnostic meta-learning
(2)
structured prediction
(1)
facial landmark detection
(1)
constrained optimization
(1)
face alignment
(1)
bayesian inference
(1)
multi-task learning
(1)
theoretical analysis
(1)
posterior predictive
(1)
deep learning
(1)
kernel density estimation
(1)
sharpness-aware minimization
(1)
Papers
Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance
ICML 2025
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning
NeurIPS 2024
M2ASR: Multilingual Multi-task Automatic Speech Recognition via Multi-objective Optimization
Interspeech 2024
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance
JMLR 2024
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance
NeurIPS 2023
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?
AISTATS 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
ICML 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning
NeurIPS 2022
Uncertain Graph Neural Networks for Facial Action Unit Detection
AAAI 2021
Deep Structured Prediction for Facial Landmark Detection
NeurIPS 2019
Embodied Conversational AI Agents in a Multi-modal Multi-agent Competitive Dialogue
IJCAI 2019
Face Alignment With Kernel Density Deep Neural Network
ICCV 2019
Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing
JMLR 2013