Convergence of two-timescale gradient descent ascent dynamics: finite-dimensional and mean-field perspectives - Jing An; Jianfeng Lu (CoRR, 2025)

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

More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling - Haque Ishfaq; Yixin Tan; Yu Yang; Qingfeng Lan; Jianfeng Lu; A. Rupam Mahmood; Doina Precup; Pan Xu (RLJ, 2024)

Occupancy Grid Map Construction Based on Semantic Segmentation and a Priori Knowledge - Gang Li; Yongqiang Fan; Jianhua Li; Jianfeng Lu (IEEE Access, 2024)

Classifier-guided multi-style tile image generation method - Jianfeng Lu; Mengtao Shi; Chuhua Song; Weihao Zhao; Lifeng Xi; Mahmoud Emam (J. King Saud Univ. Comput. Inf. Sci., 2024)

Unified Privileged Knowledge Distillation Framework for Human Motion Prediction - Xiaoning Sun; Huaijiang Sun; Dong Wei; Jin Wang; Bin Li; Weiqing Li; Jianfeng Lu (IEEE Trans. Circuits Syst. Video Technol., 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 (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

A Lightweight and Key Escrow-Free Access Control Scheme on Encrypted Data in Edge Computing - Heng He; Yuejia Chen; Jianfeng Lu; Jiacheng Zheng (Twelfth International Conference on Advanced Cloud and Big Data, CBD 2024, Brisbane, Australia, November 28 - Dec. 2, 2024, 2024)

MoML: Online Meta Adaptation for 3D Human Motion Prediction - Xiaoning Sun; Huaijiang Sun; Bin Li; Dong Wei; Weiqing Li; Jianfeng Lu (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

Fast Adaptation for Human Pose Estimation via Meta-Optimization - Shengxiang Hu; Huaijiang Sun; Bin Li; Dong Wei; Weiqing Li; Jianfeng Lu (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 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; et al. (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 - Workshops, Seattle, WA, USA, June 17-18, 2024, 2024)

Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-Time Adaptation Framework - Qiongjie Cui; Huaijiang Sun; Weiqing Li; Jianfeng Lu; Bin Li (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXI, 2024)

Evolutionary Analysis of Electric Vehicle to Grid (V2G) Strategies Based on Game Learning\(^*\) - Ziying Zheng; Jianfeng Lu; Hao Zhang (17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022, Singapore, Singapore, December 11-13, 2022, 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 (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 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 (Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024, 2024)

Vehicle Re-identification with a Pose-Aware Discriminative Part Learning Model - Ya Sun; Jianfeng Lu; Minxian Li; Gang Ren; Jingfeng Ma (Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XIII, 2024)

Learning Memory Kernels in Generalized Langevin Equations - Quanjun Lang; Jianfeng Lu (CoRR, 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; Qingguo Chen; Jianfeng Lu (CoRR, 2024)

More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling - Haque Ishfaq; Yixin Tan; Yu Yang; Qingfeng Lan; Jianfeng Lu; A. Rupam Mahmood; Doina Precup; Pan Xu (CoRR, 2024)

First Place Solution of 2023 Global Artificial Intelligence Technology Innovation Competition Track 1 - Xiangyu Wu; Hailiang Zhang; Yang Yang; Jianfeng Lu (CoRR, 2024)

The Solution for Temporal Sound Localisation Task of ICCV 1st Perception Test Challenge 2023 - Yurui Huang; Yang Yang; Shou Chen; Xiangyu Wu; Qingguo Chen; Jianfeng Lu (CoRR, 2024)

Second Place Solution of WSDM2023 Toloka Visual Question Answering Challenge - Xiangyu Wu; Zhouyang Chi; Yang Yang; Jianfeng Lu (CoRR, 2024)

Error Bounds for Open Quantum Systems with Harmonic Bosonic Bath - Kaizhao Liu; Jianfeng Lu (CoRR, 2024)

Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction - Dong Wei; Huaijiang Sun; Bin Li; Jianfeng Lu; Weiqing Li; Xiaoning Sun; Shengxiang Hu (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

Meta-Auxiliary Learning for Adaptive Human Pose Prediction - Qiongjie Cui; Huaijiang Sun; Jianfeng Lu; Bin Li; Weiqing Li (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

A Bi-Objective Optimization Method to Minimize The Makespan and Energy Consumption On Parallel SLM Machines - Junjie Lin; Chunlong Yu; Jianfeng Lu (19th IEEE International Conference on Automation Science and Engineering, CASE 2023, Auckland, New Zealand, August 26-30, 2023, 2023)

DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback - Xiaoning Sun; Huaijiang Sun; Bin Li; Dong Wei; Weiqing Li; Jianfeng Lu (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Test-time Personalizable Forecasting of 3D Human Poses - Qiongjie Cui; Huaijiang Sun; Jianfeng Lu; Weiqing Li; Bin Li; Hongwei Yi; Haofan Wang (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

Global optimality of Elman-type RNNs in the mean-field regime - Andrea Agazzi; Jianfeng Lu; Sayan Mukherjee (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Toward Quality-Aware Reverse Auction-based Incentive Mechanism for Federated Learning - Jialing Ni; Pan Qi; Jianfeng Lu (19th International Conference on Mobility, Sensing and Networking, MSN 2023, Nanjing, China, December 14-16, 2023, 2023)

Global Optimality of Elman-type RNN in the Mean-Field Regime - Andrea Agazzi; Jianfeng Lu; Sayan Mukherjee (CoRR, 2023)

DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback - Xiaoning Sun; Huaijiang Sun; Bin Li; Dong Wei; Weiqing Li; Jianfeng Lu (CoRR, 2023)

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

Score-based Transport Modeling for Mean-Field Fokker-Planck Equations - Jianfeng Lu; Yue Wu; Yang Xiang (CoRR, 2023)

Accelerate Langevin Sampling with Birth-Death process and Exploration Component - Lezhi Tan; Jianfeng Lu (CoRR, 2023)

Understanding Text-driven Motion Synthesis with Keyframe Collaboration via Diffusion Models - Dong Wei; Xiaoning Sun; Huaijiang Sun; Bin Li; Shengxiang Hu; Weiqing Li; Jianfeng Lu (CoRR, 2023)

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; et al. (CoRR, 2023)

Diffusion Methods for Generating Transition Paths - Luke Triplett; Jianfeng Lu (CoRR, 2023)

Solution for SMART-101 Challenge of ICCV Multi-modal Algorithmic Reasoning Task 2023 - Xiangyu Wu; Yang Yang; Shengdong Xu; Yifeng Wu; Qingguo Chen; Jianfeng Lu (CoRR, 2023)

The Solution for the CVPR2023 NICE Image Captioning Challenge - Xiangyu Wu; Yi Gao; Hailiang Zhang; Yang Yang; Weili Guo; Jianfeng Lu (CoRR, 2023)

A Global 250-m Downscaled NDVI Product from 1982 to 2018 - Zhimin Ma; Chunyu Dong; Kairong Lin; Yu Yan; Jianfeng Lu; Dingshen Jiang; Xiaohong Chen (Remote. Sens., 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 (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part V, 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 (CoRR, 2022)

Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction - Dong Wei; Huaijiang Sun; Bin Li; Jianfeng Lu; Weiqing Li; Xiaoning Sun; Shengxiang Hu (CoRR, 2022)

Regularized Stein Variational Gradient Flow - Ye He; Krishnakumar Balasubramanian; Bharath K. Sriperumbudur; Jianfeng Lu (CoRR, 2022)

A new deep learning method for displacement tracking from ultrasound RF signals of vascular walls - Chenhui Xiao; Zhenzhou Li; Jianfeng Lu; Jinyan Wang; Haoteng Zheng; Zuyue Bi; Mengyang Chen; Rui Mao; Minhua Lu (Comput. Medical Imaging Graph., 2021)

An adaptive two phase blind image deconvolution algorithm for an iterative regularization model - Shuyin Tao; Wende Dong; Jian Xu; Jianfeng Lu; Guili Xu; Yueting Chen (J. Vis. Commun. Image Represent., 2021)

Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime - Andrea Agazzi; Jianfeng Lu (9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021)

Temporal-difference learning with nonlinear function approximation: lazy training and mean field regimes - Andrea Agazzi; Jianfeng Lu (Mathematical and Scientific Machine Learning, 16-19 August 2021, Virtual Conference / Lausanne, Switzerland, 2021)

Localisation algorithm based on weighted semi-definite programming - Jianfeng Lu; Xuanyuan Yang (Int. J. Embed. Syst., 2020)

Existence and computation of generalized Wannier functions for non-periodic systems in two dimensions and higher - Kevin D. Stubbs; Alexander B. Watson; Jianfeng Lu (CoRR, 2020)

Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime - Andrea Agazzi; Jianfeng Lu (CoRR, 2020)

Weakly supervised segment annotation via expectation kernel density estimation - Liantao Wang; Qingwu Li; Jianfeng Lu (IET Comput. Vis., 2019)

Taylor Series Localization Algorithm Based on Semi-definite Programming - Jianfeng Lu; Xuanyuan Yang (Artificial Intelligence and Security - 5th International Conference, ICAIS 2019, New York, NY, USA, July 26-28, 2019, Proceedings, Part IV, 2019)

Temporal-difference learning for nonlinear value function approximation in the lazy training regime - Andrea Agazzi; Jianfeng Lu (CoRR, 2019)

Part-based Multi-stream Model for Vehicle Searching - Ya Sun; Minxian Li; Jianfeng Lu (CoRR, 2019)

A novel representation in three-dimensions for high dimensional data sets - Jianfeng Lu; Haifeng Yan; Yubo Yuan (Data Knowl. Eng., 2018)

Non-concept density estimation via kernel regression for concept ranking in weakly labelled data - Liantao Wang; Qingwu Li; Jianfeng Lu; Qiong Wang (IET Comput. Vis., 2018)

A Least Squares Approach to Region Selection - Liantao Wang; Yan Liu; Jianfeng Lu (Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part V, 2018)

Part-based Multi-stream Model for Vehicle Searching - Ya Sun; Minxian Li; Jianfeng Lu (24th International Conference on Pattern Recognition, ICPR 2018, Beijing, China, August 20-24, 2018, 2018)

Attention-based Neural Network for Traffic Sign Detection - Jing Zhang; Le Hui; Jianfeng Lu; Yuhua Zhu (24th International Conference on Pattern Recognition, ICPR 2018, Beijing, China, August 20-24, 2018, 2018)

Weakly supervised segment annotation via expectation kernel density estimation - Liantao Wang; Qingwu Li; Jianfeng Lu (CoRR, 2018)

Spatial Distribution Characteristics and Influencing Factors of Urban Residents' Travel Carbon Emissions in Guangzhou - Jianfeng Lu; Jiahong Zhao; Haiyan Jiang (Int. J. Appl. Logist., 2017)

Research on the energy efficiency and coordinating relations of the transportation in guangdong province - Jianfeng Lu; Hui Fu (International Conference on Logistics, Informatics and Service Sciences, LISS 2016, Sydney, Australia, July 24-27, 2016, 2016)

An evolution strategy assisted by an ensemble of local Gaussian process models - Jianfeng Lu; Bin Li; Yaochu Jin (Genetic and Evolutionary Computation Conference, GECCO '13, Amsterdam, The Netherlands, July 6-10, 2013, 2013)

Study on Anti-worm Diffusion Strategies Based on B+ Address Tree - Dewu Xu; Jianfeng Lu; Wei Chen (J. Comput., 2012)

A Bayes-Based Region-Growing Algorithm for Medical Image Segmentation - Zhigeng Pan; Jianfeng Lu (Comput. Sci. Eng., 2007)

Virtual learning environment for medical education based on VRML and VTK - Jianfeng Lu; Zhigeng Pan; Hai Lin; Mingmin Zhang; Jiaoying Shi (Comput. Graph., 2005)

An Algorithm of Mapping Additional Scalar Value in 2D Vector Field Visualization - Zhigeng Pan; Jianfeng Lu; Mingmin Zhang (Computational Science and Its Applications - ICCSA 2004, International Conference, Assisi, Italy, May 14-17, 2004, Proceedings, Part III, 2004)

An Adaptive Thresholding Method for Gray-level Image based on Fuzzy Entropy Principle - Ming Zhu; Chuan Wu; Jianfeng Lu; Jian Zhao (Signal and Image Processing (SIP 2003), Proceedings of the IASTED International Conference, August 13-15, 2003, Honolulu, HI, USA, 2003)

A formal semantics for DAI language NUML - Manwu Xu; Jianfeng Lu; Fancong Zeng; Jinwen Dai (J. Comput. Sci. Technol., 1995)

The development of JR-DSSG: a case study of software reuse - Manwu Xu; Fancong Zeng; Jianfeng Lu; Dong Yang (ACM SIGSOFT Softw. Eng. Notes, 1995)

Agent Language NUML and Its Reduction Implementation Model Based on HOpi - Manwu Xu; Jianfeng Lu; Fancong Zeng; Jinwen Dai (ACM SIGPLAN Notices, 1994)