Lu, Jianfeng

62 publications

ICLR 2026 Adaptive Debiasing Tsallis Entropy for Test-Time Adaptation Xiangyu Wu, Dongming Jiang, Feng Yu, Yueying Tian, Jiaqi Tang, Qing-Guo Chen, Yang Yang, Jianfeng Lu

ICLR 2026 Multimodal Classification via Total Correlation Maximization Feng Yu, Xiangyu Wu, Yang Yang, Jianfeng Lu

ICLR 2026 SatDreamer360: Multiview-Consistent Generation of Ground-Level Scenes from Satellite Imagery Xianghui Ze, Beiyi Zhu, Zhenbo Song, Jianfeng Lu, Yujiao Shi

CVPR 2025 Consistency Posterior Sampling for Diverse Image Synthesis Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng

ICLR 2025 Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control Xianghui Ze, Zhenbo Song, Qiwei Wang, Jianfeng Lu, Yujiao Shi

IJCAI 2025 DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-Sided Incomplete Information Yun Xin, Jianfeng Lu, Shuqin Cao, Gang Li, Haozhao Wang, Guanghui Wen

AAAI 2025 FedCross: Intertemporal Federated Learning Under Evolutionary Games Jianfeng Lu, Ying Zhang, Riheng Jia, Shuqin Cao, Jing Liu, Hao Fu

ICLR 2025 Multi-Label Test-Time Adaptation with Bound Entropy Minimization Xiangyu Wu, Feng Yu, Yang Yang, Qing-Guo Chen, Jianfeng Lu

AAAI 2025 TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning Gangqiang Hu, Jianfeng Lu, Jianmin Han, Shuqin Cao, Jing Liu, Hao Fu

ICML 2025 Towards Characterizing the Value of Edge Embeddings in Graph Neural Networks Dhruv Rohatgi, Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Ankur Moitra, Andrej Risteski

JMLR 2024 Deep Network Approximation: Beyond ReLU to Diverse Activation Functions Shijun Zhang, Jianfeng Lu, Hongkai Zhao

AAAI 2024 Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis Dong Wei, Xiaoning Sun, Huaijiang Sun, Shengxiang Hu, Bin Li, Weiqing Li, Jianfeng Lu

CVPR 2024 Fast Adaptation for Human Pose Estimation via Meta-Optimization Shengxiang Hu, Huaijiang Sun, Bin Li, Dong Wei, Weiqing Li, Jianfeng Lu

ECCV 2024 Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-Time Adaptation Framework Qiongjie Cui, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li

IJCAI 2024 LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game Jianfeng Lu, Yue Chen, Shuqin Cao, Longbiao Chen, Wei Wang, Yun Xin

CVPR 2024 MoML: Online Meta Adaptation for 3D Human Motion Prediction Xiaoning Sun, Huaijiang Sun, Bin Li, Dong Wei, Weiqing Li, Jianfeng Lu

CVPRW 2024 NICE: CVPR 2023 Challenge on Zero-Shot Image Captioning Taehoon Kim, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Mark Marsden, Alessandra Sala, Seung Hwan Kim, Bohyung Han, Kyoung Mu Lee, Honglak Lee, Kyounghoon Bae, Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim, Wooyoung Kang, Won Young Jhoo, Byungseok Roh, Jonghwan Mun, Solgil Oh, Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Kyomin Hwang, Wonsik Shin, Kamin Lee, Wonhark Park, Dongkwan Lee, Nojun Kwak, Yujin Wang, Yimu Wang, Tiancheng Gu, Xingchang Lv, Mingmao Sun

ICLR 2024 NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis Dong Wei, Huaijiang Sun, Bin Li, Xiaoning Sun, Shengxiang Hu, Weiqing Li, Jianfeng Lu

IJCAI 2024 TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt Xiangyu Wu, Qing-Yuan Jiang, Yang Yang, Yi-Feng Wu, Qing-Guo Chen, Jianfeng Lu

NeurIPSW 2024 Towards Characterizing the Value of Edge Embeddings in Graph Neural Networks Dhruv Rohatgi, Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Ankur Moitra, Andrej Risteski

ACML 2024 Universal Video Face Restoration Method Based on Vision-Language Model Yipiao Xu, Zhenbo Song, Jianfeng Lu

NeurIPS 2024 What Does Guidance Do? a Fine-Grained Analysis in a Simple Setting Muthu Chidambaram, Khashayar Gatmiry, Sitan Chen, Holden Lee, Jianfeng Lu

ALT 2023 Convergence of Score-Based Generative Modeling for General Data Distributions Holden Lee, Jianfeng Lu, Yixin Tan

CVPR 2023 DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback Xiaoning Sun, Huaijiang Sun, Bin Li, Dong Wei, Weiqing Li, Jianfeng Lu

NeurIPS 2023 Deep Equilibrium Based Neural Operators for Steady-State PDEs Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary Lipton, Jianfeng Lu, Andrej Risteski

ICMLW 2023 Deep Equilibrium Based Neural Operators for Steady-State PDEs Tanya Marwah, Ashwini Pokle, J Zico Kolter, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski

ICML 2023 Global Optimality of Elman-Type RNNs in the Mean-Field Regime Andrea Agazzi, Jianfeng Lu, Sayan Mukherjee

AISTATS 2023 HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent Ziang Chen, Jianfeng Lu, Huajie Qian, Xinshang Wang, Wotao Yin

AAAI 2023 Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, Shengxiang Hu

ICML 2023 Improved Analysis of Score-Based Generative Modeling: User-Friendly Bounds Under Minimal Smoothness Assumptions Hongrui Chen, Holden Lee, Jianfeng Lu

NeurIPS 2023 Learning Dense Flow Field for Highly-Accurate Cross-View Camera Localization Zhenbo Song, Ze Xianghui, Jianfeng Lu, Yujiao Shi

AAAI 2023 Meta-Auxiliary Learning for Adaptive Human Pose Prediction Qiongjie Cui, Huaijiang Sun, Jianfeng Lu, Bin Li, Weiqing Li

ICML 2023 Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski

ICML 2023 On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network Shijun Zhang, Jianfeng Lu, Hongkai Zhao

CVPR 2023 Robust Single Image Reflection Removal Against Adversarial Attacks Zhenbo Song, Zhenyuan Zhang, Kaihao Zhang, Wenhan Luo, Zhaoxin Fan, Wenqi Ren, Jianfeng Lu

JMLR 2023 Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees Mo Zhou, Jianfeng Lu

ICCV 2023 Test-Time Personalizable Forecasting of 3D Human Poses Qiongjie Cui, Huaijiang Sun, Jianfeng Lu, Weiqing Li, Bin Li, Hongwei Yi, Haofan Wang

NeurIPS 2023 The Probability Flow ODE Is Provably Fast Sitan Chen, Sinho Chewi, Holden Lee, Yuanzhi Li, Jianfeng Lu, Adil Salim

NeurIPS 2022 Convergence for Score-Based Generative Modeling with Polynomial Complexity Holden Lee, Jianfeng Lu, Yixin Tan

NeurIPSW 2022 Convergence of Score-Based Generative Modeling for General Data Distributions Holden Lee, Jianfeng Lu, Yixin Tan

ICLR 2022 Machine Learning for Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose Blanchet

ECCV 2022 Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction Xiaoning Sun, Qiongjie Cui, Huaijiang Sun, Bin Li, Weiqing Li, Jianfeng Lu

AISTATS 2021 Random Coordinate Underdamped Langevin Monte Carlo Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen Wright

COLT 2021 A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Partial Differential Equations Yulong Lu, Jianfeng Lu, Min Wang

ALT 2021 Efficient Sampling from the Bingham Distribution Rong Ge, Holden Lee, Jianfeng Lu, Andrej Risteski

ICLR 2021 Global Optimality of SoftMax Policy Gradient with Single Hidden Layer Neural Networks in the Mean-Field Regime Andrea Agazzi, Jianfeng Lu

NeurIPS 2021 On the Representation of Solutions to Elliptic PDEs in Barron Spaces Ziang Chen, Jianfeng Lu, Yulong Lu

COLT 2021 Random Coordinate Langevin Monte Carlo Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J Wright

WACV 2021 Real-Time Gait-Based Age Estimation and Gender Classification from a Single Image Chi Xu, Yasushi Makihara, Ruochen Liao, Hirotaka Niitsuma, Xiang Li, Yasushi Yagi, Jianfeng Lu

NeurIPSW 2021 Statistical Numerical PDE : Fast Rate, Neural Scaling Law and When It’s Optimal Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose Blanchet

ICML 2020 A Mean Field Analysis of Deep ResNet and Beyond: Towards Provably Optimization via Overparameterization from Depth Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying

ICLRW 2020 A Mean-Field Analysis of Deep ResNet and Beyond:Towards Provable Optimization via Overparameterization from Depth Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying

NeurIPS 2020 A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions Yulong Lu, Jianfeng Lu

ECCV 2020 Gait Recognition from a Single Image Using a Phase-Aware Gait Cycle Reconstruction Network Chi Xu, Yasushi Makihara, Xiang Li, Yasushi Yagi, Jianfeng Lu

NeurIPS 2020 MPNet: Masked and Permuted Pre-Training for Language Understanding Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu

IJCAI 2020 Neural Machine Translation with Error Correction Kaitao Song, Xu Tan, Jianfeng Lu

ICML 2019 MASS: Masked Sequence to Sequence Pre-Training for Language Generation Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu

CVPR 2019 Mind Your Neighbours: Image Annotation with Metadata Neighbourhood Graph Co-Attention Networks Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu

ECCV 2018 Goal-Oriented Visual Question Generation via Intermediate Rewards Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, Jianfeng Lu, Anton van den Hengel

AAAI 2018 Kill Two Birds with One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu

ECCV 2018 Single Image Water Hazard Detection Using FCN with Reflection Attention Units Xiaofeng Han, Chuong Nguyen, Shaodi You, Jianfeng Lu

IJCAI 2013 Instance Selection and Instance Weighting for Cross-Domain Sentiment Classification via PU Learning Rui Xia, Xuelei Hu, Jianfeng Lu, Jian Yang, Chengqing Zong