Lei Ding
12 papers · 2022–2026 · 7 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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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (36) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Century Club Β· Bronze
ποΈ
Keyword Collector
(68)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(8)
Core AI
(8)
Application Areas
(6)
Natural Language Processing
(4)
Mathematics & Optimization
(3)
Mathematics
(3)
Optimization & Theory
(3)
Applications
(2)
Learning Types
(2)
Resources & Methods
(2)
Computer Vision
(1)
Deep Learning
(1)
Security & Privacy
(1)
Bayesian & Probabilistic
(1)
Keywords
large language model
(2)
gender bia
(2)
social bia
(2)
gaussian differential privacy
(2)
algorithmic fairness
(1)
conformal prediction
(1)
causal inference
(1)
visual question answering
(1)
reinforcement learning
(1)
text generation
(1)
information retrieval
(1)
masked language model
(1)
multimodal learning
(1)
visual grounding
(1)
quantile regression
(1)
natural language processing
(1)
statistical independence
(1)
human-computer interaction
(1)
temporal difference
(1)
markov chain monte carlo
(1)
Papers
ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agents
ACL 2026
S2C: A Noise-Resistant Difference Learning Framework for Unsupervised Change Detection in VHR Remote Sensing Images
AAAI 2026
Adaptive Coopetition: Leveraging Coarse Verifier Signals for Resilient Multi-Agent LLM Reasoning
IJCNLP 2025
Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations
NAACL 2024
Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach
NeurIPS 2024
Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding
EMNLP 2024
Right this way: Can VLMs Guide Us to See More to Answer Questions?
NeurIPS 2024
SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training
ACL 2024
Gaussian Differential Privacy on Riemannian Manifolds
NeurIPS 2023
Online Local Differential Private Quantile Inference via Self-normalization
ICML 2023
Conformalized Fairness via Quantile Regression
NeurIPS 2022
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving
AAAI 2022