← Authors

Jianfeng Lu

58 papers · 2013–2026 · 16 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🌍 Conference Polyglot (16) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (8) 🧬 Topic Evolution 🀝 Dynamic Duo (10) πŸ† Keyword Champion (4) πŸ”¬ Deep Specialist (10) πŸ† Grand Slam πŸš€ Conference Pioneer πŸ’Ž Century Club (54) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (220) ❓ The Questioner ⚑ Prolific Year (5)

Conferences

AAAI (9) NIPS (8) ICML (7) CVPR (6) ECCV (5) ICLR (5) IJCAI (5) AISTATS (2) ALT (2) COLT (2) JMLR (2) ACML (1) COLING (1) ICCV (1) MICCAI (1) WACV (1)

Top co-authors

Weiqing Li (10) Huaijiang Sun (10) Bin Li (10) Shuqin Cao (7) Holden Lee (6) Xiaoning Sun (6) Dong Wei (6) Gang Li (4) Andrej Risteski (4) Guanghui Wen (4)

Keywords

federated learning (7) partial differential equation (4) score-based generative modeling (4) diffusion model (4) convergence guarantee (4) neural network approximation (4) neural machine translation (3) human motion prediction (3) markov chain monte carlo (3) generative model (2) probability distribution (2) incentive mechanism (2) stochastic gradient descent (2) expressive power (2) score function (2) motion forecasting (2) pose estimation (2) langevin dynamics (2) test-time adaptation (2) image restoration (2)

Papers

OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks AAAI 2026
FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data AAAI 2026
OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility AAAI 2026
Ripple Shapley: Data Influence Attribution in One Federated Training Run AAAI 2026
Multi-Label Test-Time Adaptation with Bound Entropy Minimization ICLR 2025
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025
Consistency Posterior Sampling for Diverse Image Synthesis CVPR 2025
Towards characterizing the value of edge embeddings in Graph Neural Networks ICML 2025
Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control ICLR 2025
FedCross: Intertemporal Federated Learning Under Evolutionary Games AAAI 2025
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information IJCAI 2025
NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis ICLR 2024
TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt IJCAI 2024
Universal Video Face Restoration Method Based on Vision-Language Model ACML 2024
Fast Adaptation for Human Pose Estimation via Meta-Optimization CVPR 2024
MoML: Online Meta Adaptation for 3D Human Motion Prediction CVPR 2024
Customized Relationship Graph Neural Network for Brain Disorder Identification MICCAI 2024
What does guidance do? A fine-grained analysis in a simple setting NIPS 2024
Deep Network Approximation: Beyond ReLU to Diverse Activation Functions JMLR 2024
LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game IJCAI 2024
Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-time Adaptation Framework ECCV 2024
Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis AAAI 2024
Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees JMLR 2023
Deep Equilibrium Based Neural Operators for Steady-State PDEs NIPS 2023
The probability flow ODE is provably fast NIPS 2023
Learning Dense Flow Field for Highly-accurate Cross-view Camera Localization NIPS 2023
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction AAAI 2023
Meta-Auxiliary Learning for Adaptive Human Pose Prediction AAAI 2023
HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent AISTATS 2023
Convergence of score-based generative modeling for general data distributions ALT 2023
Robust Single Image Reflection Removal Against Adversarial Attacks CVPR 2023
DeFeeNet: Consecutive 3D Human Motion Prediction With Deviation Feedback CVPR 2023
Test-time Personalizable Forecasting of 3D Human Poses ICCV 2023
Global optimality of Elman-type RNNs in the mean-field regime ICML 2023
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions ICML 2023
Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective ICML 2023
On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network ICML 2023
Convergence for score-based generative modeling with polynomial complexity NIPS 2022
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality ICLR 2022
Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction ECCV 2022
On the Representation of Solutions to Elliptic PDEs in Barron Spaces NIPS 2021
Efficient sampling from the Bingham distribution ALT 2021
Real-Time Gait-Based Age Estimation and Gender Classification From a Single Image WACV 2021
Random Coordinate Underdamped Langevin Monte Carlo AISTATS 2021
A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Partial Differential Equations COLT 2021
Random Coordinate Langevin Monte Carlo COLT 2021
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime ICLR 2021
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth ICML 2020
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions NIPS 2020
Gait Recognition from a Single Image using a Phase-Aware Gait Cycle Reconstruction Network ECCV 2020
MPNet: Masked and Permuted Pre-training for Language Understanding NIPS 2020
Neural Machine Translation with Error Correction IJCAI 2020
Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks CVPR 2019
MASS: Masked Sequence to Sequence Pre-training for Language Generation ICML 2019
Double Path Networks for Sequence to Sequence Learning COLING 2018
Goal-Oriented Visual Question Generation via Intermediate Rewards ECCV 2018
Single Image Water Hazard Detection using FCN with Reflection Attention Units ECCV 2018
Instance Selection and Instance Weighting for Cross-Domain Sentiment Classification via PU Learning IJCAI 2013