← Authors

Yuanyuan Liu

30 papers · 2014–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (11) πŸ—ΊοΈ Taxonomy Completionist (13) 🐝 Cross-Pollinator (9) 🧭 Keyword Pioneer 🀝 Dynamic Duo (17) πŸ† Keyword Champion πŸ’Ž Century Club (25) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (174)

Conferences

AAAI (10) NIPS (5) IJCAI (4) CVPR (3) AISTATS (2) ICML (2) INTERSPEECH (2) EMNLP (1) UAI (1)

Top co-authors

Fanhua Shang (18) Hongying Liu (13) Chang Tang (5) Zhouchen Lin (4) James Cheng (4) Kun Sun (3) Weixin An (3) Licheng Jiao (2) Xuesong Yan (2) Kathy Y.S. Lee (2)

Keywords

stochastic optimization (3) convex optimization (3) graph convolutional network (3) neural network (2) momentum acceleration (2) graph neural network (2) linear convergence (2) gene expression (2) matrix completion (2) oracle complexity (2) spatial transcriptomics (2) federated learning (2) transformer architecture (2) video super-resolution (2) variance reduction (2) self-supervised learning (2) video restoration (2) minimax optimization (2) convergence rate (2) image restoration (1)

Papers

SGAT: Learning Feature Matching with Singularity-enhanced Graph Attention Network AAAI 2026
View-on-Graph: Zero-Shot 3D Visual Grounding via Vision-Language Reasoning on Scene Graphs AAAI 2026
PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction AAAI 2026
FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models AAAI 2026
When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering AAAI 2026
Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation IJCAI 2025
Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging ICML 2025
Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution AAAI 2025
LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment IJCAI 2025
VS: Reconstructing Clothed 3D Human from Single Image via Vertex Shift CVPR 2024
Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NIPS 2024
SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network AAAI 2024
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis EMNLP 2023
A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization NIPS 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima NIPS 2023
Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation CVPR 2023
Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots ICML 2022
HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks AAAI 2022
Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding AAAI 2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning IJCAI 2021
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling AAAI 2021
Principal component analysis in the stochastic differential privacy model UAI 2021
Don't Hit Me! Glass Detection in Real-World Scenes CVPR 2020
Accelerated Incremental Gradient Descent using Momentum Acceleration with Scaling Factor IJCAI 2019
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization AISTATS 2018
Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds NIPS 2017
Acoustic Assessment of Disordered Voice with Continuous Speech Based on Utterance-Level ASR Posterior Features INTERSPEECH 2017
Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization AISTATS 2016
Predicting Severity of Voice Disorder from DNN-HMM Acoustic Posteriors INTERSPEECH 2016
Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NIPS 2014