← Authors

Tao Sun

47 papers · 2006–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (22) 🧭 Keyword Pioneer πŸƒ Academic Marathon (20) 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (3) πŸ”₯ Unstoppable (10) πŸš€ Conference Pioneer ⚑ Prolific Year (7) πŸ“ˆ Trend Setter πŸ’Ž Century Club (46) πŸ—ƒοΈ 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

Dongsheng Li (10) Haibin Ling (7) Bao Wang (5) Jian Yang (5) Zhoujun Li (4) Jiaheng Liu (4) Hongcheng Guo (4) Cheng Lu (4) Xiaoge Deng (3) Yunzhe Tao (3)

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