| 2026 | AAAI | FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data. | Yue Chen, Jianfeng Lu, Shuqin Cao, Wei Wang, Gang Li, Guanghui Wen |
| 2026 | AAAI | OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks. | Bangqi Pan, Jianfeng Lu, Shuqin Cao, Xiao Zhang, Gang Li, Guanghui Wen |
| 2026 | AAAI | OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility. | Yun Xin, Jianfeng Lu, Gang Li, Shuqin Cao, Guanghui Wen, Kehao Wang |
| 2026 | AAAI | Ripple Shapley: Data Influence Attribution in One Federated Training Run. | Dewen Zeng, Wenlong Tian, Haozhao Wang, Jianfeng Lu, Weijun Xiao, Zhiyong Xu |
| 2026 | ACL | MirrorCAPTCHA: Wild CAPTCHA, Wild Distribution, Wild Web-based Platform Meet Multimodal LLM Agents. | Xiangyu Wu, Yuwei Hu, Tianyu Cui, Yueying Tian, Qingguo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Yang Yang, Jianfeng Lu |
| 2026 | KSEM | A Blockchain-Based Decentralized Trusted Cloud Resource Storage Pricing Incentive Mechanism. | Yuxuan Chi, Qiong Tao, Wenlong Tian, Jianfeng Lu, Zhiyong Xu, Yaping Wan, Wei Liang, Meikang Qiu |
| 2025 | AAAI | FedCross: Intertemporal Federated Learning Under Evolutionary Games. | Jianfeng Lu, Ying Zhang, Riheng Jia, Shuqin Cao, Jing Liu, Hao Fu |
| 2025 | AAAI | TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning. | Gangqiang Hu, Jianfeng Lu, Jianmin Han, Shuqin Cao, Jing Liu, Hao Fu |
| 2025 | CVPR | Consistency Posterior Sampling for Diverse Image Synthesis. | Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng |
| 2025 | ICLR | Multi-Label Test-Time Adaptation with Bound Entropy Minimization. | Xiangyu Wu, Feng Yu, Yang Yang, Qing-Guo Chen, Jianfeng Lu |
| 2025 | ICLR | 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 |
| 2025 | ICML | Towards characterizing the value of edge embeddings in Graph Neural Networks. | Dhruv Rohatgi, Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Ankur Moitra, Andrej Risteski |
| 2025 | IJCAI | 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 |
| 2025 | ICRA | Gradient-Based Adversarial Attacks on Deep LiDAR Odometry. | Zhenbo Song, Xuanzhu Chen, Zhenyuan Zhang, Kaihao Zhang, Jianfeng Lu, Weiqing Li |
| 2025 | WWW | High-Performance and Secure Jaccard Similarity Estimation for Cloud Storage. | Zhixiong Xie, Wenlong Tian, Jianfeng Lu, Weijun Xiao, Zhiyong Xu |
| 2024 | AAAI | 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 |
| 2024 | ACML | Universal Video Face Restoration Method Based on Vision-Language Model. | Yipiao Xu, Zhenbo Song, Jianfeng Lu |
| 2024 | CVPR | Fast Adaptation for Human Pose Estimation via Meta-Optimization. | Shengxiang Hu, Huaijiang Sun, Bin Li, Dong Wei, Weiqing Li, Jianfeng Lu |
| 2024 | CVPR | 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 |
| 2024 | CVPR | MoML: Online Meta Adaptation for 3D Human Motion Prediction. | Xiaoning Sun, Huaijiang Sun, Bin Li, Dong Wei, Weiqing Li, Jianfeng Lu |
| 2024 | ECCV | Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-Time Adaptation Framework. | Qiongjie Cui, Huaijiang Sun, Weiqing Li, Jianfeng Lu, Bin Li |
| 2024 | ICARCV | Tripartite Evolutionary Game Analysis of Proprietary Information-Based Value-added Service Strategies in Cloud Manufacturing Platforms. | Jialin Song, Hao Zhang, Jianfeng Lu, Pengze Zhu, Jianpeng Mao |
| 2024 | ICARCV | Evolutionary Analysis of Electric Vehicle to Grid (V2G) Strategies Based on Game Learning | Ziying Zheng, Jianfeng Lu, Hao Zhang |
| 2024 | ICLR | NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis. | Dong Wei, Huaijiang Sun, Bin Li, Xiaoning Sun, Shengxiang Hu, Weiqing Li, Jianfeng Lu |
| 2024 | IGARSS | Semantic-Aware Alignment Network for Cross-Resolution Change Detection. | Yijun Zhang, Fengchao Xiong, Jianfeng Lu, Minchao Ye, Jun Zhou, Yuntao Qian |
| 2024 | IJCAI | 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 |
| 2024 | IJCAI | 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 |
| 2024 | MICCAI | Customized Relationship Graph Neural Network for Brain Disorder Identification. | Zhengwang Xia, Huan Wang, Tao Zhou, Zhuqing Jiao, Jianfeng Lu |
| 2024 | TrustCom | AS-FIBA: Adaptive Selective Frequency-Injection for Backdoor Attack on Deep Face Restoration. | Zhenbo Song, Wenhao Gao, Zhenyuan Zhang, Jianfeng Lu |
| 2023 | AAAI | Meta-Auxiliary Learning for Adaptive Human Pose Prediction. | Qiongjie Cui, Huaijiang Sun, Jianfeng Lu, Bin Li, Weiqing Li |
| 2023 | AAAI | Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction. | Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, Shengxiang Hu |
| 2023 | AISTATS | HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent. | Ziang Chen, Jianfeng Lu, Huajie Qian, Xinshang Wang, Wotao Yin |
| 2023 | ALT | Convergence of score-based generative modeling for general data distributions. | Holden Lee, Jianfeng Lu, Yixin Tan |
| 2023 | CVPR | Robust Single Image Reflection Removal Against Adversarial Attacks. | Zhenbo Song, Zhenyuan Zhang, Kaihao Zhang, Wenhan Luo, Zhaoxin Fan, Wenqi Ren, Jianfeng Lu |
| 2023 | CVPR | DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback. | Xiaoning Sun, Huaijiang Sun, Bin Li, Dong Wei, Weiqing Li, Jianfeng Lu |
| 2023 | ICCV | Test-time Personalizable Forecasting of 3D Human Poses. | Qiongjie Cui, Huaijiang Sun, Jianfeng Lu, Weiqing Li, Bin Li, Hongwei Yi, Haofan Wang |
| 2023 | ICIG | Incorporating Global Correlation and Local Aggregation for Efficient Visual Localization. | Dong Xie, Jianfeng Lu, Zhenbo Song, Xuanzhu Chen |
| 2023 | ICML | Global optimality of Elman-type RNNs in the mean-field regime. | Andrea Agazzi, Jianfeng Lu, Sayan Mukherjee |
| 2023 | ICML | Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions. | Hongrui Chen, Holden Lee, Jianfeng Lu |
| 2023 | ICML | Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective. | Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski |
| 2023 | ICML | On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network. | Shijun Zhang, Jianfeng Lu, Hongkai Zhao |
| 2023 | SIGIR | Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity. | Xiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng, Dongxiao Yu |
| 2022 | ECCV | Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction. | Xiaoning Sun, Qiongjie Cui, Huaijiang Sun, Bin Li, Weiqing Li, Jianfeng Lu |
| 2022 | ICASSP | Material-Guided Siamese Fusion Network for Hyperspectral Object Tracking. | Zhuanfeng Li, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian |
| 2022 | ICASSP | Multitask Sparse Neural Network for Hyperspectral Image Denoising. | Fengchao Xiong, Minchao Ye, Jun Zhou, Jianfeng Lu, Yuntao Qian |
| 2022 | ICIP | Ques-to-Visual Guided Visual Question Answering. | Xiangyu Wu, Jianfeng Lu, Zhuanfeng Li, Fengchao Xiong |
| 2022 | ICLR | Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality. | Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose H. Blanchet |
| 2022 | INFOCOM | Energy Saving in Heterogeneous Wireless Rechargeable Sensor Networks. | Riheng Jia, Jinhao Wu, Jianfeng Lu, Minglu Li, Feilong Lin, Zhonglong Zheng |
| 2021 | AISTATS | Random Coordinate Underdamped Langevin Monte Carlo. | Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright |
| 2021 | ALT | Efficient sampling from the Bingham distribution. | Rong Ge, Holden Lee, Jianfeng Lu, Andrej Risteski |
| 2021 | COLT | Random Coordinate Langevin Monte Carlo. | Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright |
| 2021 | COLT | A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Partial Differential Equations. | Yulong Lu, Jianfeng Lu, Min Wang |
| 2021 | DICTA | AF-Net: All-scale Feature Fusion Network for Road Extraction from Remote Sensing Images. | Shide Zou, Fengchao Xiong, Haonan Luo, Jianfeng Lu, Yuntao Qian |
| 2021 | ICASSP | NMF-SAE: An Interpretable Sparse Autoencoder for Hyperspectral Unmixing. | Fengchao Xiong, Jun Zhou, Minchao Ye, Jianfeng Lu, Yuntao Qian |
| 2021 | ICLR | Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime. | Andrea Agazzi, Jianfeng Lu |
| 2021 | IJCNN | Multi-Scale Spatial Transformer Network for LiDAR-Camera 3D Object Detection. | Zhifan Wang, Xiaohong Zhang, Shidong Wang, Tong Xin, Haofeng Zhang, Jianfeng Lu |
| 2021 | ICRA | Target-targeted Domain Adaptation for Unsupervised Semantic Segmentation. | Xiaohong Zhang, Haofeng Zhang, Jianfeng Lu, Ling Shao, Jingyu Yang |
| 2021 | IGARSS | Learning a Model-Based Deep Hyperspectral Denoiser from a Single Noisy Hyperspectral Image. | Guanyiman Fu, Fengchao Xiong, Shuyin Tao, Jianfeng Lu, Jun Zhou, Yuntao Qian |
| 2021 | WACV | 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 |
| 2020 | DICTA | M | Xinhai Ye, Fengchao Xiong, Jianfeng Lu, Haifeng Zhao, Jun Zhou |
| 2020 | ECCV | Gait Recognition from a Single Image Using a Phase-Aware Gait Cycle Reconstruction Network. | Chi Xu, Yasushi Makihara, Xiang Li, Yasushi Yagi, Jianfeng Lu |
| 2020 | ICIP | BAE-Net: A Band Attention Aware Ensemble Network for Hyperspectral Object Tracking. | Zhuanfeng Li, Fengchao Xiong, Jun Zhou, Jing Wang, Jianfeng Lu, Yuntao Qian |
| 2020 | ICML | 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 |
| 2020 | IGARSS | Nonlocal Low-Rank Nonnegative Tensor Factorization for Hyperspectral Unmixing. | Fengchao Xiong, Kun Qian, Jianfeng Lu, Jun Zhou, Yuntao Qian |
| 2020 | IJCAI | Neural Machine Translation with Error Correction. | Kaitao Song, Xu Tan, Jianfeng Lu |
| 2020 | ICRA | End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS with a Monocular Camera. | Zhenbo Song, Jianfeng Lu, Tong Zhang, Hongdong Li |
| 2020 | STOC | Estimating normalizing constants for log-concave distributions: algorithms and lower bounds. | Rong Ge, Holden Lee, Jianfeng Lu |
| 2019 | CVPR | Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks. | Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu |
| 2019 | ICML | MASS: Masked Sequence to Sequence Pre-training for Language Generation. | Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu |
| 2018 | AAAI | 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 |
| 2018 | COLING | Double Path Networks for Sequence to Sequence Learning. | Kaitao Song, Xu Tan, Di He, Jianfeng Lu, Tao Qin, Tie-Yan Liu |
| 2018 | ECCV | Single Image Water Hazard Detection Using FCN with Reflection Attention Units. | Xiaofeng Han, Chuong V. Nguyen, Shaodi You, Jianfeng Lu |
| 2018 | ECCV | Goal-Oriented Visual Question Generation via Intermediate Rewards. | Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, Jianfeng Lu, Anton van den Hengel |
| 2018 | ICMLC | A Two-Step Choice Privacy-Preservation Method for Check-in Data Publishing. | Yang Zhao, Jianmin Han, Jianfeng Lu, Hao Peng, Zhao-Long Hu, Li-Xia Wang |
| 2018 | ICONIP | A Least Squares Approach to Region Selection. | Liantao Wang, Yan Liu, Jianfeng Lu |
| 2018 | ICPR | Part-based Multi-stream Model for Vehicle Searching. | Ya Sun, Minxian Li, Jianfeng Lu |
| 2018 | ICPR | Generating Adversarial Examples With Conditional Generative Adversarial Net. | Ping Yu, Kaitao Song, Jianfeng Lu |
| 2018 | ICPR | Attention-based Neural Network for Traffic Sign Detection. | Jing Zhang, Le Hui, Jianfeng Lu, Yuhua Zhu |
| 2018 | ICRA | Fully Convolutional Neural Networks for Road Detection with Multiple Cues Integration. | Xiaofeng Han, Jianfeng Lu, Chunxia Zhao, Hongdong Li |
| 2018 | UIC | Incentive Mechanism for User Collaboration on Trajectory Privacy Preservation. | Mengqi Gao, Jianmin Han, Jianfeng Lu, Hao Peng, Zhao-Long Hu |
| 2016 | ACCV | Speed Invariance vs. Stability: Cross-Speed Gait Recognition Using Single-Support Gait Energy Image. | Chi Xu, Yasushi Makihara, Xiang Li, Yasushi Yagi, Jianfeng Lu |
| 2016 | ADMA | MetricRec: Metric Learning for Cold-Start Recommendations. | Furong Peng, Xuan Lu, Jianfeng Lu, Richard Yi Da Xu, Cheng Luo, Chao Ma, Jingyu Yang |
| 2016 | DICTA | SLNSW-UTS: A Historical Image Dataset for Image Multi-Labeling and Retrieval. | Junjie Zhang, Jian Zhang, Jianfeng Lu, Chunhua Shen, Kate Curr, Robin Phua, Richard Neville, Elise Edmonds |
| 2016 | IWDW | A New Card Authentication Scheme Based on Image Watermarking and Encryption. | Xinxin Peng, Jianfeng Lu, Li Li, Chin-Chen Chang, Qili Zhou |
| 2016 | MICCAI | Exploring Brain Networks via Structured Sparse Representation of fMRI Data. | Qinghua Zhao, Jianfeng Lu, Jinglei Lv, Xi Jiang, Shijie Zhao, Tianming Liu |
| 2015 | ICASSP | Classification of whale vocalizations using the Weyl transform. | Yin Xian, Andrew Thompson, Qiang Qiu, Loren W. Nolte, Douglas Nowacek, Jianfeng Lu, A. Robert Calderbank |
| 2015 | ICDM | The Hierarchical Model to Ali Mobile Recommendation Competition. | Suchi Qian, Furong Peng, Xiang Li, Jianfeng Lu |
| 2015 | MICCAI | Fiber Connection Pattern-Guided Structured Sparse Representation of Whole-Brain fMRI Signals for Functional Network Inference. | Xi Jiang, Tuo Zhang, Qinghua Zhao, Jianfeng Lu, Lei Guo, Tianming Liu |
| 2015 | MICCAI | Distance Networks for Morphological Profiling and Characterization of DICCCOL Landmarks. | Yue Yuan, Hanbo Chen, Jianfeng Lu, Tuo Zhang, Tianming Liu |
| 2015 | MICCAI | Multi-scale and Multimodal Fusion of Tract-Tracing, Myelin Stain and DTI-derived Fibers in Macaque Brains. | Tuo Zhang, Jun Kong, Ke Jing, Hanbo Chen, Xi Jiang, Longchuan Li, Lei Guo, Jianfeng Lu, Xiaoping Hu, Tianming Liu |
| 2015 | UIC | (C, K)m-Anonymity: A Model to Resist Sub-trajectory Linkage Attacks. | Hui Guo, Jianmin Han, Jianfeng Lu, Hao Peng, Changbin Tang |
| 2014 | ICIP | Street view cross-sourced point cloud matching and registration. | Furong Peng, Qiang Wu, Lixin Fan, Jian Zhang, Yu You, Jianfeng Lu, Jing-Yu Yang |
| 2014 | ICIP | Weakly supervised object localization via maximal entropy random walk. | Liantao Wang, Ji Zhao, Xuelei Hu, Jianfeng Lu |
| 2014 | ICPR | Unsupervised Discriminant Canonical Correlation Analysis for Feature Fusion. | Sheng Wang, Xingjian Gu, Jianfeng Lu, Jing-Yu Yang, Ruili Wang, Jian Yang |
| 2014 | IWDW | Zero-Watermarking Based on Improved ORB Features Against Print-cam Attack. | Jianfeng Lu, Qianru Huang, Meng Wang, Li Li, Junping Dai, Chin-Chen Chang |
| 2014 | WSC | Parallel simulation-based optimization on scheduling of a semiconductor manufacturing system. | Yumin Ma, Fei Qiao, Wei Yu, Jianfeng Lu |
| 2013 | GECCO | An evolution strategy assisted by an ensemble of local Gaussian process models. | Jianfeng Lu, Bin Li, Yaochu Jin |
| 2013 | IJCAI | Instance Selection and Instance Weighting for Cross-Domain Sentiment Classification via PU Learning. | Rui Xia, Xuelei Hu, Jianfeng Lu, Jian Yang, Chengqing Zong |
| 2012 | ICPR | Adaptive kernel learning based on centered alignment for hierarchical classification. | Yanting Lu, Jianfeng Lu, Jingyu Yang |
| 2011 | CIKM | Leveraging Wikipedia concept and category information to enhance contextual advertising. | Zongda Wu, Guandong Xu, Rong Pan, Yanchun Zhang, Zhiwen Hu, Jianfeng Lu |
| 2011 | ICIP | An augmented Lagrangian method for fast gradient vector flow computation. | Jianfeng Lu, Wangmeng Zuo, Xiaofei Zhao, David Zhang |
| 2011 | MICCAI | Ventricle Shape Analysis for Centenarians, Elderly Subjects, MCI and AD Patients. | Zhaojin Gong, Jianfeng Lu, Jia Chen, Yaping Wang, Yixuan Yuan, Tuo Zhang, Lei Guo, L. Stephen Miller |
| 2010 | CCS | SecTag: a multi-policy supported secure web tag framework. | Ruixuan Li, Meng Dong, Bin Liu, Jianfeng Lu, Xiaopu Ma, Kai Li |
| 2010 | ICPR | Automated Cell Phase Classification for Zebrafish Fluorescence Microscope Images. | Yanting Lu, Jianfeng Lu, Tianming Liu, Jingyu Yang |
| 2009 | DICTA | Automatic Detection of Defective Zebrafish Embryos via Shape Analysis. | Haifeng Zhao, Jun Zhou, Antonio Robles-Kelly, Jianfeng Lu, Jing-Yu Yang |
| 2004 | ICCSA | An Algorithm of Mapping Additional Scalar Value in 2D Vector Field Visualization. | Zhigeng Pan, Jianfeng Lu, Mingmin Zhang |
| 2004 | ICPR | A Graph Decomposition Approach to Least Squares Attributed Graph Matching. | Jianfeng Lu, Terry Caelli, Jing-Yu Yang |
| 2004 | SSPR | A Comparison of Least Squares and Spectral Methods for Attributed Graph Matching. | Jianfeng Lu, Terry Caelli, Jing-Yu Yang |