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Yuanyuan Liu

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (61) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (18) πŸ† Keyword Champion πŸ”¬ Deep Specialist (10) 🌈 Renaissance Researcher (8) πŸ”₯ Unstoppable Β· Silver ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (182)

Venues

AAAI (10) NeurIPS (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)

Research topics

Machine Learning (23) Deep Learning (16) Optimization & Theory (12) Architectures (11) Mathematics & Optimization (10) Core Methods (10) Optimization (9) Artificial Intelligence (8) Computer Vision (6) Learning Types Β· Machine Learning (6) Core AI (5) Learning Types Β· Deep Learning (5) Processing (4) Analysis (3) Learning Paradigms (3)

Keywords

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

Papers

FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models AAAI 2026 PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction AAAI 2026 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 When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering AAAI 2026 Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging ICML 2025 LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment IJCAI 2025 Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation IJCAI 2025 Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution AAAI 2025 Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NeurIPS 2024 SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network AAAI 2024 VS: Reconstructing Clothed 3D Human from Single Image via Vertex Shift CVPR 2024 A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization NeurIPS 2023 Boosting Adversarial Transferability by Achieving Flat Local Maxima NeurIPS 2023 Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis EMNLP 2023 Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation CVPR 2023 HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks AAAI 2022 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 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 Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding 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 NeurIPS 2017 Acoustic Assessment of Disordered Voice with Continuous Speech Based on Utterance-Level ASR Posterior Features Interspeech 2017 Predicting Severity of Voice Disorder from DNN-HMM Acoustic Posteriors Interspeech 2016 Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization AISTATS 2016 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NeurIPS 2014