Ying Sun
41 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
🌍 Conference Polyglot (11) 🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🏃
Academic Marathon
(6)
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(11)
🏆
Grand Slam
🏆
Keyword Champion
(3)
🗃️
Keyword Collector
(158)
💎
Century Club
(34)
🔥
Unstoppable
(7)
📈
Trend Setter
⚡
Prolific Year
(12)
Conferences
AAAI (8)
ICML (7)
NIPS (5)
ACL (4)
IJCAI (4)
JMLR (4)
AISTATS (3)
CVPR (3)
ICCV (1)
ICLR (1)
WACV (1)
Top co-authors
Keywords
distributed optimization
(5)
domain adaptation
(3)
decentralized optimization
(3)
federated learning
(3)
gradient tracking
(3)
large language model
(3)
data heterogeneity
(3)
anomaly subgraph detection
(2)
attention mechanism
(2)
high-dimensional regression
(2)
sparse regression
(2)
sparse linear regression
(2)
distributed learning
(2)
image segmentation
(2)
unsupervised learning
(2)
knowledge graph
(2)
self-supervised learning
(2)
zero-shot learning
(1)
stochastic gradient descent
(1)
stochastic gradient
(1)
Papers
Latent-Condensed Transformer for Efficient Long Context Modeling
ACL 2026
OCP: Outlier-Centric Probing for Dynamic Structured Pruning of LLMs
ACL 2026
Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated
AAAI 2026
Discovering Decoupled Functional Modules in Large Language Models
AAAI 2026
Punctuation-Steered Representation Fine-Tuning
ACL 2026
NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation
AAAI 2026
Towards Illumination-Aware Restoration of Metalens-Captured Images: A New Dataset and a Strong Baseline
AAAI 2026
Non-Convex Tensor Recovery from Local Measurements
AAAI 2025
Outlier-Aware Post-Training Quantization for Discrete Graph Diffusion Models
ICML 2025
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis
JMLR 2025
Covariance Selection over Networks
AISTATS 2025
Decentralized Sparse Linear Regression via Gradient-Tracking
JMLR 2025
LLMs Can Simulate Standardized Patients via Agent Coevolution
ACL 2025
Towards Lifelong Model Editing via Simulating Ideal Editor
ICML 2025
Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis
ICML 2025
Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach
ICML 2025
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
ICML 2025
Efficient Skill Discovery via Regret-Aware Optimization
ICML 2025
EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity
AAAI 2025
Tackling Uncertain Correspondences for Multi-Modal Entity Alignment
NIPS 2024
Implicit Anomaly Subgraph Detection (IASD) in Multi-Domain Attribute Networks
IJCAI 2024
Training-Free Object Counting With Prompts
WACV 2024
Implicit Regularization of Decentralized Gradient Descent for Sparse Regression
NIPS 2024
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
AISTATS 2024
SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network
NIPS 2024
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
NIPS 2024
Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning
IJCAI 2024
A General Regret Bound of Preconditioned Gradient Method for DNN Training
CVPR 2023
Counterfactual Dynamics Forecasting – a New Setting of Quantitative Reasoning
AAAI 2023
Meta Compositional Referring Expression Segmentation
CVPR 2023
Learning to Learn: How to Continuously Teach Humans and Machines
ICCV 2023
Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification
IJCAI 2023
Distributed Sparse Regression via Penalization
JMLR 2023
Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net
IJCAI 2022
Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels
CVPR 2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
ICML 2022
Hybrid Local SGD for Federated Learning with Heterogeneous Communications
ICLR 2022
TAILOR: Teaching with Active and Incremental Learning for Object Registration
AAAI 2021
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation
NIPS 2021
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks
AISTATS 2020
Decentralized Dictionary Learning Over Time-Varying Digraphs
JMLR 2019