Qi Long
18 papers · 2020–2025 · 10 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (5)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(5)
🗃️
Keyword Collector
(80)
⚡
Prolific Year
(5)
💎
Century Club
(18)
🔥
Unstoppable
(6)
❓
The Questioner
Conferences
ICML (5)
NIPS (4)
AISTATS (2)
ACML (1)
COLT (1)
CVPR (1)
EMNLP (1)
JMLR (1)
NAACL (1)
UAI (1)
Top co-authors
Research topics
Keywords
bias mitigation
(2)
missing datum
(2)
gaussian differential privacy
(2)
federated learning
(2)
neural network
(2)
adversarial robustness
(1)
adversarial learning
(1)
generative modeling
(1)
variational inference
(1)
self-attention mechanism
(1)
bayesian inference
(1)
data augmentation
(1)
multimodal learning
(1)
human-object interaction
(1)
reinforcement learning
(1)
motion capture
(1)
gaussian process
(1)
algorithmic fairness
(1)
canonical correlation analysis
(1)
class imbalance
(1)
Papers
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
ICML 2025
Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing
ICML 2025
GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing
NAACL 2025
$\textttI$^2$MoE$: Interpretable Multimodal Interaction-aware Mixture-of-Experts
ICML 2025
InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation
CVPR 2025
The Impact of Language Mixing on Bilingual LLM Reasoning
EMNLP 2025
SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data
AISTATS 2024
Fairness-Aware Estimation of Graphical Models
NIPS 2024
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts
NIPS 2024
Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization
COLT 2024
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation
ICML 2024
Fairness-aware class imbalanced learning on multiple subgroups
UAI 2023
Fair Canonical Correlation Analysis
NIPS 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
Federated f-Differential Privacy
AISTATS 2021
Assessing Fairness in the Presence of Missing Data
NIPS 2021
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
ICML 2020