Jianfeng Lu
59 papers · 2013–2026 · 17 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (16) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π Academic Marathon (12)
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(8)
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Renaissance Researcher
(8)
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Topic Evolution
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(10)
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(4)
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Deep Specialist
(10)
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Conference Pioneer
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Century Club
(54)
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Unstoppable
(8)
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Keyword Collector
(220)
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The Questioner
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Prolific Year
(5)
Conferences
AAAI (9)
NIPS (8)
ICML (7)
CVPR (6)
IJCAI (5)
ICLR (5)
ECCV (5)
COLT (2)
ALT (2)
AISTATS (2)
JMLR (2)
COLING (1)
ICCV (1)
ACML (1)
MICCAI (1)
ACL (1)
WACV (1)
Top co-authors
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)
image restoration
(2)
langevin dynamics
(2)
test-time adaptation
(2)
domain adaptation
(2)
Papers
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
OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks
AAAI 2026
MirrorCAPTCHA: Wild CAPTCHA, Wild Distribution, Wild Web-based Platform Meet Multimodal LLM Agents
ACL 2026
Ripple Shapley: Data Influence Attribution in One Federated Training Run
AAAI 2026
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
Multi-Label Test-Time Adaptation with Bound Entropy Minimization
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
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
NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis
ICLR 2024
Fast Adaptation for Human Pose Estimation via Meta-Optimization
CVPR 2024
MoML: Online Meta Adaptation for 3D Human Motion Prediction
CVPR 2024
What does guidance do? A fine-grained analysis in a simple setting
NIPS 2024
Customized Relationship Graph Neural Network for Brain Disorder Identification
MICCAI 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
Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis
AAAI 2024
Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-time Adaptation Framework
ECCV 2024
Robust Single Image Reflection Removal Against Adversarial Attacks
CVPR 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
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
Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees
JMLR 2023
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality
ICLR 2022
Convergence for score-based generative modeling with polynomial complexity
NIPS 2022
Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction
ECCV 2022
Random Coordinate Underdamped Langevin Monte Carlo
AISTATS 2021
Random Coordinate Langevin Monte Carlo
COLT 2021
On the Representation of Solutions to Elliptic PDEs in Barron Spaces
NIPS 2021
Real-Time Gait-Based Age Estimation and Gender Classification From a Single Image
WACV 2021
A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Partial Differential Equations
COLT 2021
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime
ICLR 2021
Efficient sampling from the Bingham distribution
ALT 2021
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth
ICML 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
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions
NIPS 2020
MASS: Masked Sequence to Sequence Pre-training for Language Generation
ICML 2019
Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks
CVPR 2019
Double Path Networks for Sequence to Sequence Learning
COLING 2018
Single Image Water Hazard Detection using FCN with Reflection Attention Units
ECCV 2018
Goal-Oriented Visual Question Generation via Intermediate Rewards
ECCV 2018
Instance Selection and Instance Weighting for Cross-Domain Sentiment Classification via PU Learning
IJCAI 2013