Qiang Sun
17 papers · 2018–2026 · 9 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 Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (47) π Academic Marathon Β· Sprint π Century Club Β· Bronze
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Keyword Collector
(93)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(12)
Core Methods
(8)
Optimization & Theory
(8)
Mathematics & Optimization
(7)
Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Optimization
(5)
Artificial Intelligence
(4)
Core AI
(4)
Natural Language Processing
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Mathematics
(2)
Models
(2)
Computer Science
(1)
Keywords
convex optimization
(2)
gradient descent
(2)
sparse regression
(2)
active learning
(1)
variable selection
(1)
online learning
(1)
stochastic gradient descent
(1)
sparse estimation
(1)
matrix factorization
(1)
video generation
(1)
sequential decision making
(1)
self-supervised learning
(1)
attention mechanism
(1)
graph representation learning
(1)
distributed learning
(1)
multimodal learning
(1)
vision-language navigation
(1)
depth estimation
(1)
incremental learning
(1)
representation learning
(1)
Papers
CamDirector: Towards Long-Term Coherent Video Trajectory Editing
CVPR 2026
Corruption-Robust Variance-aware Algorithms for Generalized Linear Bandits under Heavy-tailed Rewards
UAI 2025
DocSpiral: A Platform for Integrated Assistive Document Annotation through Human-in-the-Spiral
ACL 2025
Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs
ICLR 2025
UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance
ICML 2025
Gradient descent in matrix factorization: Understanding large initialization
UAI 2024
OpenOmni: A Collaborative Open Source Tool for Building Future-Ready Multimodal Conversational Agents
EMNLP 2024
Rethinking the Uniformity Metric in Self-Supervised Learning
ICLR 2024
Directional diffusion models for graph representation learning
NeurIPS 2023
GeoVLN: Learning Geometry-Enhanced Visual Representation With Slot Attention for Vision-and-Language Navigation
CVPR 2023
Online Linearized LASSO
AISTATS 2023
Sketched Ridgeless Linear Regression: The Role of Downsampling
ICML 2023
Statistical Analysis of Karcher Means for Random Restricted PSD Matrices
AISTATS 2023
Distributed Sparse Multicategory Discriminant Analysis
AISTATS 2022
Hoeffding's Inequality for General Markov Chains and Its Applications to Statistical Learning
JMLR 2021
Graphical Nonconvex Optimization via an Adaptive Convex Relaxation
ICML 2018
Statistical Sparse Online Regression: A Diffusion Approximation Perspective
AISTATS 2018