Mingchen Li
16 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
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Conference Polyglot
(9)
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Conferences
AAAI (3)
NIPS (3)
EMNLP (2)
ICML (2)
ACL (1)
AISTATS (1)
COLING (1)
EACL (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
transformer architecture
(3)
large language model
(2)
bilevel optimization
(2)
attention mechanism
(2)
language modeling
(2)
protein language model
(2)
multimodal learning
(1)
masked language model
(1)
uncertainty quantification
(1)
semantic parsing
(1)
question answering
(1)
hyperparameter optimization
(1)
in-context learning
(1)
knowledge graph question answering
(1)
neural architecture search
(1)
conditional generation
(1)
minimax optimization
(1)
selective attention
(1)
label noise
(1)
data augmentation
(1)
Papers
Harmful Factuality: LLMs Correcting What They Shouldn’t
EACL 2026
OrgaCast: A Trustworthy Spatiotemporal Diffusion Model for Fluorescence Organoid Forecasting
AAAI 2026
On the Power of Convolution-Augmented Transformer
AAAI 2025
VenusFactory: An Integrated System for Protein Engineering with Data Retrieval and Language Model Fine-Tuning
ACL 2025
DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting
EMNLP 2025
ContextAware: A Multi-Agent Framework for Detecting Harmful Image-Based Comments on Social Media
IJCAI 2025
TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation
ICLR 2025
Selective Attention: Enhancing Transformer through Principled Context Control
NIPS 2024
ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention
NIPS 2024
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
AAAI 2024
A Hierarchical N-Gram Framework for Zero-Shot Link Prediction
EMNLP 2022
Semantic Structure Based Query Graph Prediction for Question Answering over Knowledge Graph
COLING 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
ICML 2022
Generalization Guarantees for Neural Architecture Search with Train-Validation Split
ICML 2021
AutoBalance: Optimized Loss Functions for Imbalanced Data
NIPS 2021
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks
AISTATS 2020