Qi Long
18 papers · 2020–2025 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (46) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Trend Setter
ποΈ
Keyword Collector
(107)
π
Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(14)
Machine Learning
(14)
Core AI
(10)
Application Areas
(7)
Deep Learning
(5)
Core Methods
(4)
Learning Types
(4)
Optimization & Theory
(4)
Healthcare & Medicine
(3)
Natural Language Processing
(3)
Learning Paradigms
(3)
Mathematics & Optimization
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Clinical
(2)
Keywords
multimodal learning
(2)
gaussian differential privacy
(2)
reinforcement learning
(2)
federated learning
(2)
adversarial robustness
(2)
missing data
(2)
bias mitigation
(2)
neural network
(2)
em algorithm
(1)
bayesian inference
(1)
adversarial learning
(1)
calibration
(1)
generative modeling
(1)
data augmentation
(1)
variational inference
(1)
sharpness-aware minimization
(1)
self-attention mechanism
(1)
multimodal interaction
(1)
adversarial training
(1)
algorithmic fairness
(1)
Papers
I^2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts
ICML 2025
GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing
NAACL 2025
InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation
CVPR 2025
Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing
ICML 2025
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
ICML 2025
The Impact of Language Mixing on Bilingual LLM Reasoning
EMNLP 2025
Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization
COLT 2024
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation
ICML 2024
Fairness-Aware Estimation of Graphical Models
NeurIPS 2024
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts
NeurIPS 2024
SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data
AISTATS 2024
Fair Canonical Correlation Analysis
NeurIPS 2023
Fairness-aware class imbalanced learning on multiple subgroups
UAI 2023
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
JMLR 2023
Multiple Imputation with Neural Network Gaussian
Process for High-dimensional Incomplete Data
ACML 2022
Assessing Fairness in the Presence of Missing Data
NeurIPS 2021
Federated f-Differential Privacy
AISTATS 2021
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
ICML 2020