Qiang Sun
16 papers · 2018–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (12)
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Interdisciplinary Bridge
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Hot Topic Early Bird
🐝
Cross-Pollinator
(12)
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Keyword Champion
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Keyword Collector
(60)
💎
Century Club
(16)
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Unstoppable
(5)
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Prolific Year
(5)
Conferences
AISTATS (4)
ICML (3)
ICLR (2)
UAI (2)
ACL (1)
CVPR (1)
EMNLP (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
sparse regression
(2)
convex optimization
(2)
stochastic gradient descent
(1)
online learning
(1)
vision-language navigation
(1)
emotion detection
(1)
distributed learning
(1)
convex relaxation
(1)
sparse estimation
(1)
depth estimation
(1)
multi-modal learning
(1)
cross-modal representation
(1)
graph representation learning
(1)
high-dimensional estimation
(1)
variable selection
(1)
active learning
(1)
linear discriminant analysis
(1)
markov chain
(1)
linear regression
(1)
unsupervised learning
(1)
Papers
Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs
ICLR 2025
DocSpiral: A Platform for Integrated Assistive Document Annotation through Human-in-the-Spiral
ACL 2025
Corruption-Robust Variance-aware Algorithms for Generalized Linear Bandits under Heavy-tailed Rewards
UAI 2025
UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance
ICML 2025
Rethinking the Uniformity Metric in Self-Supervised Learning
ICLR 2024
OpenOmni: A Collaborative Open Source Tool for Building Future-Ready Multimodal Conversational Agents
EMNLP 2024
Gradient descent in matrix factorization: Understanding large initialization
UAI 2024
GeoVLN: Learning Geometry-Enhanced Visual Representation With Slot Attention for Vision-and-Language Navigation
CVPR 2023
Directional diffusion models for graph representation learning
NIPS 2023
Statistical Analysis of Karcher Means for Random Restricted PSD Matrices
AISTATS 2023
Sketched Ridgeless Linear Regression: The Role of Downsampling
ICML 2023
Online Linearized LASSO
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