Tao Sun
47 papers · 2006–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (22) π Interdisciplinary Bridge π Conference Polyglot (13)
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(22)
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Keyword Pioneer
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Academic Marathon
(20)
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Dynamic Duo
(10)
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Triple Crown
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Deep Specialist
(11)
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Keyword Champion
(3)
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Unstoppable
(10)
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Conference Pioneer
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Prolific Year
(7)
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Trend Setter
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Century Club
(46)
ποΈ
Keyword Collector
(51)
Conferences
ICML (10)
NIPS (8)
AAAI (6)
CVPR (5)
ICLR (4)
IJCAI (4)
COLING (2)
JMLR (2)
WACV (2)
ACL (1)
CORL (1)
ECCV (1)
ICCV (1)
Top co-authors
Keywords
stochastic gradient descent
(8)
nonconvex optimization
(5)
large language model
(3)
decentralized optimization
(3)
collective graphical model
(3)
unsupervised learning
(3)
convergence analysis
(3)
domain adaptation
(3)
stochastic gradient
(3)
convergence rate
(2)
semantic segmentation
(2)
linear convergence
(2)
stability analysis
(2)
generalization bound
(2)
map inference
(2)
multi-task learning
(2)
approximate inference
(2)
non-convex optimization
(2)
unsupervised domain adaptation
(2)
gradient descent
(2)
Papers
APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift
AAAI 2026
Context-Preserving Dermoscopic Editing: Mask-Guided Lesion-Aware Diffusion for Attribute Modification
WACV 2026
XFormParser: A Simple and Effective Multimodal Multilingual Semi-structured Form Parser
COLING 2025
LLaVA-RE: Binary Image-Text Relevancy Evaluation with Multimodal Large Language Model
COLING 2025
Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision
ICML 2025
XCOT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning
AAAI 2025
McEval: Massively Multilingual Code Evaluation
ICLR 2025
WoMAP: World Models For Embodied Open-Vocabulary Object Localization
CORL 2025
PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots
WACV 2025
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
ICML 2025
Investigating the Role of Weight Decay in Enhancing Nonconvex SGD
CVPR 2025
Backdooring Vision-Language Models with Out-Of-Distribution Data
ICLR 2025
Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration
JMLR 2025
$\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis
ICLR 2024
Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness
NIPS 2024
RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts
NIPS 2024
Exploring the Inefficiency of Heavy Ball as Momentum Parameter Approaches 1
IJCAI 2024
UniCoder: Scaling Code Large Language Model via Universal Code
ACL 2024
Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations
ICML 2024
Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
ICLR 2024
Backdoor Cleansing With Unlabeled Data
CVPR 2023
Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD
AAAI 2023
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions
ICML 2023
Local Context-Aware Active Domain Adaptation
ICCV 2023
Domain Adaptation with Adversarial Training on Penultimate Activations
AAAI 2023
Safe Self-Refinement for Transformer-Based Domain Adaptation
CVPR 2022
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks
NIPS 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
CVPR 2022
Prior Knowledge Guided Unsupervised Domain Adaptation
ECCV 2022
On the Practicality of Deterministic Epistemic Uncertainty
ICML 2022
Adaptive Random Walk Gradient Descent for Decentralized Optimization
ICML 2022
Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast
IJCAI 2022
Stability and Generalization of Decentralized Stochastic Gradient Descent
AAAI 2021
REPAINT: Knowledge Transfer in Deep Reinforcement Learning
ICML 2021
Robust Multi-Agent Reinforcement Learning with Model Uncertainty
NIPS 2020
Three-quarter Sibling Regression for Denoising Observational Data
IJCAI 2019
Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery
CVPR 2019
Heavy-ball Algorithms Always Escape Saddle Points
IJCAI 2019
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme
NIPS 2019
Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms
AAAI 2019
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
NIPS 2018
On Markov Chain Gradient Descent
NIPS 2018
Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models
ICML 2017
Asynchronous Coordinate Descent under More Realistic Assumptions
NIPS 2017
Message Passing for Collective Graphical Models
ICML 2015
Approximate Inference in Collective Graphical Models
ICML 2013
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss
JMLR 2006