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Jianfeng Lu

59 papers · 2013–2026 · 17 conferences · across top CS/AI conferences

Achievements

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+15 more ↓ 🌍 Conference Polyglot (16) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (13) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (12)
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) 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)

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