Mingchen Li
16 papers · 2020–2026 · 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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๐บ๏ธ Taxonomy Completionist (43) ๐ Conference Polyglot ยท Gold ๐ Academic Marathon ยท Sprint ๐ Interdisciplinary Bridge ยท Silver ๐ Grand Slam
๐งฌ
Topic Evolution
๐
Grand Slam
๐๏ธ
Keyword Collector
(96)
โก
Prolific Year ยท Productive
๐
Renaissance Researcher
(6)
๐
Trend Setter
๐
Century Club ยท Bronze
Venues
Top co-authors
Research topics
Deep Learning
(11)
Machine Learning
(11)
Artificial Intelligence
(7)
Architectures
(7)
Core AI
(6)
Learning Types ยท Machine Learning
(6)
Core Methods
(5)
Optimization & Theory
(5)
Natural Language Processing
(4)
Application Areas
(3)
Generation
(3)
Learning Types ยท Deep Learning
(3)
Interdisciplinary
(2)
Knowledge & Reasoning
(2)
Models
(2)
Keywords
bilevel optimization
(3)
transformer architecture
(3)
large language model
(2)
language modeling
(2)
protein language model
(2)
attention mechanism
(2)
hyperparameter optimization
(1)
representation learning
(1)
differential privacy
(1)
in-context learning
(1)
question answering
(1)
semantic parsing
(1)
masked language model
(1)
data augmentation
(1)
stochastic gradient
(1)
neural architecture search
(1)
conditional generation
(1)
knowledge graph question answering
(1)
minimax optimization
(1)
multimodal learning
(1)
Papers
Harmful Factuality: LLMs Correcting What They Shouldnโt
EACL 2026
OrgaCast: A Trustworthy Spatiotemporal Diffusion Model for Fluorescence Organoid Forecasting
AAAI 2026
ContextAware: A Multi-Agent Framework for Detecting Harmful Image-Based Comments on Social Media
IJCAI 2025
DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting
EMNLP 2025
On the Power of Convolution-Augmented Transformer
AAAI 2025
TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation
ICLR 2025
VenusFactory: An Integrated System for Protein Engineering with Data Retrieval and Language Model Fine-Tuning
ACL 2025
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
AAAI 2024
ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention
NeurIPS 2024
Selective Attention: Enhancing Transformer through Principled Context Control
NeurIPS 2024
A Hierarchical N-Gram Framework for Zero-Shot Link Prediction
EMNLP 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
ICML 2022
Semantic Structure Based Query Graph Prediction for Question Answering over Knowledge Graph
COLING 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data
NeurIPS 2021
Generalization Guarantees for Neural Architecture Search with Train-Validation Split
ICML 2021
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks
AISTATS 2020