Dan Meng
12 papers · 2019–2026 · 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
Jump to papers ↓+7 more ↓ Show less ↑
🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🧬
Topic Evolution
🗃️
Keyword Collector
(59)
📈
Trend Setter
🌈
Renaissance Researcher
(6)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(7)
Artificial Intelligence
(6)
Core AI
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Learning Types
(3)
Computer Vision
(2)
Deep Learning
(2)
Application Areas
(2)
Learning Paradigms
(2)
Optimization
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Keywords
distributed learning
(2)
nyström method
(2)
communication efficiency
(2)
kernel ridge regression
(2)
sampling strategy
(1)
question answering
(1)
zero-shot learning
(1)
excess risk
(1)
ensemble learning
(1)
trajectory prediction
(1)
embodied ai
(1)
machine unlearning
(1)
kernel learning
(1)
computational efficiency
(1)
network analysis
(1)
image captioning
(1)
evaluation framework
(1)
multi-object tracking
(1)
kernel approximation
(1)
multimodal learning
(1)
Papers
Aligning Cross-View Visual Geometries in LVLMs Through Human-Like Reasoning Learning
AAAI 2026
JoPPO: Hierarchical Photography Assessment via Contrastive Joint Conditional Probabilistic Reinforcement Learning
CVPR 2026
Attention to Trajectory: Trajectory-Aware Open-Vocabulary Tracking
ICCV 2025
MsRAG: Knowledge Augumented Image Captioning with Object-level Multi-source RAG
IJCAI 2025
An Evaluation Mechanism of LLM-based Agents on Manipulating APIs
EMNLP 2024
UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition
NeurIPS 2023
Distributed Randomized Sketching Kernel Learning
AAAI 2022
Randomized Sketches for Clustering: Fast and Optimal Kernel k-Means
NeurIPS 2022
Distributed Nyström Kernel Learning with Communications
ICML 2021
Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm
AAAI 2020
Community Focusing: Yet Another Query-Dependent Community Detection
AAAI 2019
Ranking and Sampling in Open-Domain Question Answering
EMNLP 2019