| 2026 | AAAI | DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients. | Yuexin Bian, Jie Feng, Yuanyuan Shi |
| 2026 | AAAI | Zero-shot Implicit Neural Manifold Representation (INMR) for Ultra-high Temporal Resolution Dynamic MRI. | Jie Feng, Rui Luo, Tian Zeng, Xin Shen, Haikun Qi, Yuyao Zhang, Dong Liang, Hongjiang Wei |
| 2026 | AAAI | PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation. | Zhehao Tan, Yihan Jiao, Dan Yang, Junwei Liu, Lei Liu, Jie Feng, Duolin Sun, Yue Shen, Jian Wang, Peng Wei, Jinjie Gu |
| 2026 | AAAI | Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation. | Xuanyu Tian, Lixuan Chen, Qing Wu, Xiao Wang, Jie Feng, Yuyao Zhang, Hongjiang Wei |
| 2026 | AAAI | Vision-G1: Towards General Reasoning Vision-Language Models via Reinforcement Learning. | Yuheng Zha, Kun Zhou, Yujia Wu, Yushu Wang, Jie Feng, Zhi Xu, Shibo Hao, Zhengzhong Liu, Eric P. Xing, Zhiting Hu |
| 2026 | ACL | GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs. | Meixiu Long, Duolin Sun, Dan Yang, Yihan Jiao, Lei Liu, Jiahai Wang, Binbin Hu, Yue Shen, Jie Feng, Zhehao Tan, Junjie Wang, Lianzhen Zhong, Jian Wang, Peng Wei, Jinjie Gu |
| 2026 | ACL | WebClipper: Efficient Evolution of Web Agents with Graph-based Trajectory Pruning. | Junjie Wang, Zequn Xie, Dan Yang, Jie Feng, Yue Shen, Duolin Sun, Meixiu Long, Yihan Jiao, Zhehao Tan, Jian Wang, Peng Wei, Jinjie Gu |
| 2025 | ACL | Open-Set Living Need Prediction with Large Language Models. | Xiaochong Lan, Jie Feng, Yizhou Sun, Chen Gao, Jiahuan Lei, Xinleishi, Hengliang Luo, Yong Li |
| 2025 | ACL | Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from Psychometrics. | Wenrui Xu, Dalin Lyu, Weihang Wang, Jie Feng, Chen Gao, Yong Li |
| 2025 | EMNLP | HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation. | Yihan Jiao, Zhehao Tan, Dan Yang, Duolin Sun, Jie Feng, Yue Shen, Jian Wang, Peng Wei |
| 2025 | EMNLP | AutoQual: An LLM Agent for Automated Discovery of Interpretable Features for Review Quality Assessment. | Xiaochong Lan, Jie Feng, Yinxing Liu, Xinleishi, Yong Li |
| 2025 | EMNLP | Depression Detection on Social Media with Large Language Models. | Xiaochong Lan, Zhiguang Han, Yiming Cheng, Li Sheng, Jie Feng, Chen Gao, Yong Li |
| 2025 | EMNLP | Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning. | Shengyuan Wang, Jie Feng, Tianhui Liu, Dan Pei, Yong Li |
| 2025 | GLOBECOM | Effective Federated Learning for Object Detection in Multi-UAV Communication Systems. | Ling Qi, Dongye Li, Jie Feng, Bodong Shang, Lei Liu, Qingqi Pei |
| 2025 | ICCV | Partially Matching Submap Helps: Uncertainty Modeling and Propagation for Text to Point Cloud Localization. | Mingtao Feng, Longlong Mei, Zijie Wu, Jianqiao Luo, Fenghao Tian, Jie Feng, Weisheng Dong, Yaonan Wang |
| 2025 | ICCV | UrbanLLaVA: A Multi-Modal Large Language Model for Urban Intelligence. | Jie Feng, Shengyuan Wang, Tianhui Liu, Yanxin Xi, Yong Li |
| 2025 | ICML | Analytical Lyapunov Function Discovery: An RL-based Generative Approach. | Haohan Zou, Jie Feng, Hao Zhao, Yuanyuan Shi |
| 2025 | INFOCOM | Deep Reinforcement Learning-Based Methods for Model Deployment in Edge Environments. | Xifei Song, Ruiyi Yin, Jie Feng, Xiaoteng Yang, Lei Liu, Celimuge Wu |
| 2025 | INFOCOM | An Efficient Diffusion Model-Based Federated Learning with Non-IID Data for 6G Networks. | Yufeng Xia, Ruiyi Yin, Jie Feng, Bodong Shang, Jing Lei, Qingqi Pei |
| 2025 | KDD | CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks. | Jie Feng, Jun Zhang, Tianhui Liu, Xin Zhang, Tianjian Ouyang, Junbo Yan, Yuwei Du, Siqi Guo, Yong Li |
| 2025 | KDD | CityGPT: Empowering Urban Spatial Cognition of Large Language Models. | Jie Feng, Tianhui Liu, Yuwei Du, Siqi Guo, Yuming Lin, Yong Li |
| 2025 | KDD | Benchmarking and Advancing Large Language Models for Local Life Services. | Xiaochong Lan, Jie Feng, Jiahuan Lei, Xinlei Shi, Yong Li |
| 2025 | NAACL | AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction. | Jie Feng, Yuwei Du, Jie Zhao, Yong Li |
| 2025 | VTC | FedEXD: Self-Propelled Federated Learning with Extraction-Based Knowledge Distillation in Heterogeneous Environments. | Yunfan Li, Jie Feng, Lei Liu, Bodong Shang, Jing Lei, Qingqi Pei |
| 2024 | GLOBECOM | Two-Level Dependent Task Elastic Scheduling for Mobile Edge Computing. | Jinxiang Yu, Jinkai Wang, Lei Huang, Yibo Yuan, Chengsheng Cai, Dongxiao Zhao, Jie Feng, Qingqi Pei |
| 2024 | GLOBECOM | Heterogeneous Computation and Resource Allocation for Wireless Edge AI. | Zongjie Zhou, Jie Feng, Lei Liu, Jinkai Wang, Qingqi Pei |
| 2024 | ICASSP | Efficient Posenet with Coarse to Fine Transformer. | Shaohua Li, Haixiang Zhang, Hanjie Ma, Jie Feng, Mingfeng Jiang |
| 2024 | IGARSS | A Dual-Branch Network for End-to-End Point-Supervised Object Detection on Remote Sensing Images. | Haotian Yan, Jie Feng, Junpeng Zhang, Ronghua Shang, Xiangrong Zhang, Licheng Jiao |
| 2024 | INFOCOM | Multi-Aspect Edge Device Association Based on Time-Series Dynamic Interaction Networks. | Xiaoteng Yang, Jie Feng, Xifei Song, Feng Xu, Yuan Liu, Qingqi Pei, Celimuge Wu |
| 2024 | INFOCOM | An Efficient Lightweight Satellite Image Classification Model with Improved MobileNetV3. | Xiaoteng Yang, Lei Liu, Xifei Song, Jie Feng, Qingqi Pei, Xiaoming Yuan, Jianqiao Li |
| 2024 | IGARSS | Learnable Prompts-Based Transformers for Domain Generalization of Hyperspectral Image Classification. | Baofa He, Jie Feng, Di Li, Ronghua Shang, Jinjian Wu, Licheng Jiao |
| 2024 | KDD | UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. | Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li |
| 2024 | KDD | Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments. | Yile Liang, Jiuxia Zhao, Donghui Li, Jie Feng, Chen Zhang, Xuetao Ding, Jinghua Hao, Renqing He |
| 2024 | VTC | Secure NOMA-Assisted Multi-User mmWave Vehicular Communications Using Artificial Noise. | Yiting Yan, Ying Ju, Suheng Tian, Lei Liu, Jie Feng, Jianbo Du, Qingqi Pei, Celimuge Wu |
| 2024 | VTC | BEM Based Channel Estimation via Sparse Bayesian Learning for OTFS over Fast Time-Varying Channel. | Xing Zhang, Fangjiong Chen, Jie Feng, Maowu Zhou, Hua Yu |
| 2023 | APWEB | Personal Credit Data Sharing Scheme Based on Blockchain and Access Control. | Jie Feng, Xiaoguang Li, Xiaoli Li |
| 2023 | GLOBECOM | Intelligent Reflecting Surface Aided High-Speed Train Communications with Relaying: Joint Active and Passive Beamforming Design. | Jie Feng, Beixiong Zheng, Changsheng You, Xue Xiong, Jie Tang, Fangjiong Chen |
| 2023 | GLOBECOM | A Reinforcement Learning-based DAG Tasks Scheduling in Edge-Cloud Collaboration Systems. | Xifei Song, Lei Liu, Junqi Fu, Xueyao Zhang, Jie Feng, Qingqi Pei |
| 2023 | IGARSS | Domain Adversarial Debiased Self-Training for Hyperspectral Image Classification. | Tianshu Zhang, Jie Feng, Ziyu Zhou, Xiangrong Zhang, Licheng Jiao |
| 2023 | IGARSS | 3D-Mglnet: Moving Vehicle Detection in Satellite Videos with 3D Motion-Guided Lightweight Network. | Xiaoyu Zhu, Jie Li, Jie Feng, Quanpeng Jiang, Xiangrong Zhang, Licheng Jiao |
| 2023 | VTC | Blockage-Based Cooperative Jamming for Secure Terahertz Transmissions in Indoor Networks. | Suheng Tian, Ying Ju, Mingjie Yang, Lei Liu, Jie Feng, Qingqi Pei, Mian Ahmad Jan, Celimuge Wu |
| 2022 | IGARSS | Hyperspectral Image Classification Based on Spectrally-Enhanced and Densely Connected Transformer Model. | Yongen Wu, Jie Feng, Gaiqin Bai, Qiyang Gao, Xiangrong Zhang |
| 2022 | IGARSS | Spectral Constrained Residual Attention Network for Hyperspectral Pansharpening. | Ziyu Zhou, Jie Feng, Xiande Wu, Jiao Shi, Xiangrong Zhang |
| 2021 | AAAI | AttnMove: History Enhanced Trajectory Recovery via Attentional Network. | Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li |
| 2021 | CIKM | One-shot Transfer Learning for Population Mapping. | Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li |
| 2021 | IGARSS | Automatic Design Recurrent Neural Network for Hyperspectral Image Classification. | Jie Feng, Gaiqin Bai, Zizhuo Gao, Xiangrong Zhang, Xu Tang |
| 2021 | IGARSS | Improved SiamRPN++ with Clustering-Based Frame Differencing for Object Tracking of Remote Sensing Videos. | Jie Feng, Bingyu Hui, Yuping Liang, Quanhe Yao, Xiangrong Zhang |
| 2021 | KDD | PAM: Understanding Product Images in Cross Product Category Attribute Extraction. | Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong |
| 2020 | CVPR | End-to-end Optimized Video Compression with MV-Residual Prediction. | Xiangji Wu, Ziwen Zhang, Jie Feng, Lei Zhou, Junmin Wu |
| 2020 | GLOBECOM | Energy-efficient User Clustering and Resource Management for NOMA Based MEC Systems. | Jianbo Du, Nana Xue, Daosen Zhai, Haotong Cao, Jie Feng, Guangyue Lu |
| 2020 | GLOBECOM | Deep Reinforcement Learning for Blockchain-Enabled Mobile Edge Computing Systems. | Jie Li, Jie Feng, Qingqi Pei, Jianbo Du |
| 2020 | ICPR | VGG-Embedded Adaptive Layer-Normalized Crowd Counting Net with Scale-Shuffling Modules. | Dewen Guo, Jie Feng, Bingfeng Zhou |
| 2020 | IJCAI | A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling. | Jie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li |
| 2020 | ICPR | Color Texture Description Based on Holistic and Hierarchical Order-Encoding Patterns. | Tiecheng Song, Jie Feng, Yuanlin Wang, Chenqiang Gao |
| 2020 | ICPR | First- and Second-Order Sorted Local Binary Pattern Features for Grayscale-Inversion and Rotation Invariant Texture Classification. | Tiecheng Song, Yuanjing Han, Jie Feng, Yuanlin Wang, Chenqiang Gao |
| 2020 | IGARSS | Small Object Detection in Optical Remote Sensing Video with Motion Guided R-CNN. | Jie Feng, Yuping Liang, Zhanwei Ye, Xiande Wu, Dening Zeng, Xiangrong Zhang, Xu Tang |
| 2020 | IGARSS | Hyperspectral Image Classification Based on Semi-Supervised Dual-Branch Convolutional Autoencoder with Self-Attention. | Jie Feng, Zhanwei Ye, Di Li, Yuping Liang, Xu Tang, Xiangrong Zhang |
| 2020 | KDD | Learning to Simulate Human Mobility. | Jie Feng, Zeyu Yang, Fengli Xu, Haisu Yu, Mudan Wang, Yong Li |
| 2019 | AAAI | DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis. | Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin |
| 2019 | AAAI | DeepDPM: Dynamic Population Mapping via Deep Neural Network. | Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li |
| 2019 | CIKM | Learning Phase Competition for Traffic Signal Control. | Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li |
| 2019 | IGARSS | Hyperspectral Band Selection Based On Ternary Weight Convolutional Neural Network. | Jie Feng, Di Li, Jiantong Chen, Xiangrong Zhang, Xu Tang, Xiande Wu |
| 2019 | IGARSS | Joint Multilayer Spatial-Spectral Classification of Hyperspectral Images Based on CNN and Convlstm. | Jie Feng, Xiande Wu, Jiantong Chen, Xiangrong Zhang, Xu Tang, Di Li |
| 2019 | WWW | DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data. | Jie Feng, Mingyang Zhang, Huandong Wang, Zeyu Yang, Chao Zhang, Yong Li, Depeng Jin |
| 2019 | SiggraphA | Structure-Aware Image Expansion with Global Attention. | Dewen Guo, Jie Feng, Bingfeng Zhou |
| 2018 | IGARSS | Spatial-Spectral Graph-Based Nonlinear Embedding Dimensionality Reduction for Hyperspectral Image Classificaiton. | Xiangrong Zhang, Yaru Han, Ning Huyan, Chen Li, Jie Feng, Li Gao, Xiaoxiao Ma |
| 2018 | WWW | DeepMove: Predicting Human Mobility with Attentional Recurrent Networks. | Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, Depeng Jin |
| 2018 | SiggraphA | Efficient light field computation for view range expansion using viewpoint reduction. | Jianhong Han, Ke Wang, Jie Feng, Bingfeng Zhou |
| 2017 | IGARSS | Hyperspectral image classification based on stacked marginal discriminative autoencoder. | Jie Feng, Liguo Liu, Xiangrong Zhang, Rongfang Wang, Hongying Liu |
| 2017 | WACV | Deep Image Set Hashing. | Jie Feng, Svebor Karaman, Shih-Fu Chang |
| 2017 | SiggraphA | Computational design and fabrication of hanging structures. | Boyu Song, Jie Feng, Bingfeng Zhou |
| 2016 | CVPR | Interactive Segmentation on RGBD Images via Cue Selection. | Jie Feng, Brian L. Price, Scott Cohen, Shih-Fu Chang |
| 2016 | IGARSS | Terrain classification with Polarimetric SAR based on Deep Sparse Filtering Network. | Hongying Liu, Qiang Min, Chen Sun, Jin Zhao, Shuyuan Yang, Biao Hou, Jie Feng, Licheng Jiao |
| 2016 | VTC | User-Oriented Load Balance in Software-Defined Campus WLANs. | Jie Feng, Liqiang Zhao, Chen Chen, Zhiyuan Ren, Jianbo Du |
| 2016 | WACV | 3D shape retrieval using a single depth image from low-cost sensors. | Jie Feng, Yan Wang, Shih-Fu Chang |
| 2015 | VTC | Differential CSIT Acquisition Based on Compressive Sensing for FDD Massive MIMO Systems. | Wenqian Shen, Bichai Wang, Jie Feng, Cong Gao, Junjie Ma |
| 2015 | SIGGRAPH | Gradient domain binary image hiding using color difference metric. | Lu Hao, Jie Feng, Bingfeng Zhou |
| 2015 | SIGGRAPH | Sketch based modeling via manifold regularization. | Juncheng Liu, Zhouhui Lian, Jie Feng, Bingfeng Zhou |
| 2014 | ECCV | From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval via Regression Tree Fields. | Yan Wang, Jie Feng, Zhixiang Wu, Jun Wang, Shih-Fu Chang |
| 2013 | IGARSS | Spatial-spectral classification based on group sparse coding for hyperspectral image. | Xiangrong Zhang, Peng Weng, Jie Feng, Erlei Zhang, Biao Hou |
| 2013 | SIGGRAPH | Image-pair-based anisotropic material modeling. | Jie Feng, Wangyu Xiao, Bingfeng Zhou |
| 2012 | CVPR | Salient object detection for searched web images via global saliency. | Peng Wang, Jingdong Wang, Gang Zeng, Jie Feng, Hongbin Zha, Shipeng Li |
| 2012 | ICIP | Online anomaly detection in videos by clustering dynamic exemplars. | Jie Feng, Chao Zhang, Pengwei Hao |
| 2012 | IGARSS | SAR image change detection based on low rank matrix decomposition. | Xiangrong Zhang, Yaoguo Zheng, Jie Feng, Shuiping Gou |
| 2012 | SiggraphA | Gradient domain salience-preserving color-to-gray conversion. | Bingfeng Zhou, Jie Feng |
| 2011 | ICCV | Salient object detection by composition. | Jie Feng, Yichen Wei, Litian Tao, Chao Zhang, Jian Sun |
| 2011 | ISM | An Adaptive Inter Mode Decision for Multiview Video Coding. | Wei Zhu, Peng Chen, Yayu Zheng, Jie Feng |
| 2010 | ICPR | Online Learning with Self-Organizing Maps for Anomaly Detection in Crowd Scenes. | Jie Feng, Chao Zhang, Pengwei Hao |
| 2010 | LCN | Coverage preserving aggregation protocols for dense sensor networks. | Jie Feng, Derek L. Eager, Dwight J. Makaroff |
| 2010 | SiggraphA | Real-time stereo visual hull rendering using a multi-GPU-accelerated pipeline. | Jie Feng, Yang Liu, Bingfeng Zhou |
| 2009 | IWQoS | Throughput-smoothness tradeoff in preventing competing TCP from starvation. | Jie Feng, Lisong Xu |
| 2009 | Networking | Aggregation Protocols for High Rate, Low Delay Data Collection in Sensor Networks. | Jie Feng, Derek L. Eager, Dwight J. Makaroff |
| 2008 | ICNP | TCP-Friendly CBR-Like Rate Control. | Jie Feng, Lisong Xu |
| 2007 | Networking | Asynchronous Data Aggregation for Real-Time Monitoring in Sensor Networks. | Jie Feng, Derek L. Eager, Dwight J. Makaroff |
| 2004 | ICRA | Efficient View-dependent LOD Control for Large 3D Unclosed Mesh Models of Environments. | Jie Feng, Hongbin Zha |
| 2002 | SEKE | Using genetic algorithms and coupling measures to devise optimal integration test orders. | Lionel C. Briand, Jie Feng, Yvan Labiche |
| 1996 | ICPR | Fractional box-counting approach to fractal dimension estimation. | Jie Feng, Wei-Chung Lin, Chin-Tu Chen |