Structure Filling and Matching for Three-Dimensional Reconstruction of Buildings From Single High-Resolution SAR Image. - Di Feng; Weidong Chen 010 (IEEE Geosci. Remote. Sens. Lett., 2016)

A Profit-Maximizing Strategy of Network Resource Management for 5G Tenant Slices. - Bin Han 004; Di Feng; Lianghai Ji; Hans D. Schotten (CoRR, 2017)

A Sparse Manifold Classification Method Based on a Multi-Dimensional Descriptive Primitive of Polarimetric SAR Image Time Series. - Chu He; Gong Han; Di Feng; Juan Du; Mingsheng Liao (ISPRS Int. J. Geo Inf., 2017)

A Tactile-Based Framework for Active Object Learning and Discrimination using Multimodal Robotic Skin. - Mohsen Kaboli; Di Feng; Kunpeng Yao; Pablo Lanillos; Gordon Cheng (IEEE Robotics Autom. Lett., 2017)

Hierarchical Terrain Classification Based on Multilayer Bayesian Network and Conditional Random Field. - Chu He; Xinlong Liu; Di Feng; Bo Shi; Bin Luo; Mingsheng Liao (Remote. Sens., 2017)

Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection. - Di Feng; Lars Rosenbaum; Klaus Dietmayer (ITSC, 2018)

A Markov Model for Request-Based Inter-Slice Resource Management in 5G Networks. - Bin Han 004; Di Feng; Hans D. Schotten (CoRR, 2018)

Leveraging Robotic Prior Tactile Exploratory Action Experiences For Learning New Objects's Physical Properties. - Di Feng (CoRR, 2018)

Active Tactile Transfer Learning for Object Discrimination in an Unstructured Environment Using Multimodal Robotic Skin. - Mohsen Kaboli; Di Feng; Gordon Cheng (Int. J. Humanoid Robotics, 2018)

Active Prior Tactile Knowledge Transfer for Learning Tactual Properties of New Objects. - Di Feng; Mohsen Kaboli; Gordon Cheng (Sensors, 2018)

High-Accuracy Calibration Based on Linearity Adjustment for Eddy Current Displacement Sensor. - Wei Liu 037; Bing Liang; Zhenyuan Jia; Di Feng; Xintong Jiang; Xiao Li 023; Mengde Zhou (Sensors, 2018)

A Novel Automatic Calibration Method for Displacement Sensors Based on the Spatial Transformation Theory*. - Bing Liang; Wei Liu 037; Xintong Jiang; Di Feng; Kun Liu; Mengde Zhou; Xiao Li 023; Zhenyuan Jia (AIM, 2019)

A Utility-Driven Multi-Queue Admission Control Solution for Network Slicing. - Bin Han 004; Vincenzo Sciancalepore; Di Feng; Xavier Costa-Pérez; Hans D. Schotten (INFOCOM, 2019)

Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection. - Di Feng; Lars Rosenbaum; Fabian Timm; Klaus Dietmayer (IV, 2019)

Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector. - Di Feng; Xiao Wei; Lars Rosenbaum; Atsuto Maki; Klaus Dietmayer (IV, 2019)

Tactile-based active object discrimination and target object search in an unknown workspace. - Mohsen Kaboli; Kunpeng Yao; Di Feng; Gordon Cheng (Auton. Robots, 2019)

Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges. - Di Feng; Christian Haase-Schütz; Lars Rosenbaum; Heinz Hertlein; Fabian Duffhauss; Claudius Gläser; Werner Wiesbeck; Klaus Dietmayer (CoRR, 2019)

Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving. - Di Feng; Lars Rosenbaum; Claudius Gläser; Fabian Timm; Klaus Dietmayer (CoRR, 2019)

A Markov Model of Slice Admission Control. - Bin Han 004; Di Feng; Hans D. Schotten (IEEE Netw. Lett., 2019)

A New Method for Short-term Traffic Flow Prediction Based on Multi-segments Features. - Yabo Wang; Shuning Xu; Di Feng (ICMLC, 2020)

Inferring Spatial Uncertainty in Object Detection. - Zining Wang; Di Feng; Yiyang Zhou; Lars Rosenbaum; Fabian Timm; Klaus Dietmayer; Masayoshi Tomizuka; Wei Zhan (IROS, 2020)

Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving. - Di Feng; Yifan Cao; Lars Rosenbaum; Fabian Timm; Klaus Dietmayer (IV, 2020)

Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving. - Thomas Michalke; Colin Wüst; Di Feng; Claudius Gläser; Maxim Dolgov; Fabian Timm (CoRR, 2020)

Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty. - Di Feng; Lars Rosenbaum; Fabian Timm; Klaus Dietmayer (CoRR, 2020)

Multiservice-Based Network Slicing Orchestration With Impatient Tenants. - Bin Han 004; Vincenzo Sciancalepore; Xavier Costa-Pérez; Di Feng; Hans D. Schotten (IEEE Trans. Wirel. Commun., 2020)

Study on the adaptability of augmented reality smartglasses for astigmatism based on holographic waveguide grating. - Shenze Wang; Kaikai Du; Ningfang Song; Dongfeng Zhao; Di Feng; Zhengqian Tu (Virtual Real. Intell. Hardw., 2020)

A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding. - Di Feng; Yiyang Zhou; Chenfeng Xu; Masayoshi Tomizuka; Wei Zhan (IROS, 2021)

Where can I drive? A System Approach: Deep Ego Corridor Estimation for Robust Automated Driving. - Thomas Michalke; Colin Wüst; Di Feng; Maxim Dolgov; Claudius Gläser; Fabian Timm (ITSC, 2021)

A High DC Current Output Salt Battery Hybrid and Enhanced by TENG. - Shuangshuang Liu; Jiayi Yang; Zihao Niu; Yan Meng; Wei Xu; Di Feng; Baolong Wang; Meiqi Wang; Xiuhan Li (NEMS, 2021)

THz Hybrid Graphene &Metal Patches Metasurface for RCS Reduction and Digital Coding. - Baolong Wang; Jiayi Yang; Shuangshuang Liu; Wei Xu; Guobin Chen; Di Feng; Lingjie Jia; Yan Meng; Xiuhan Li (NEMS, 2021)

Risk-Based Tenant Impatience for Privacy-Intolerant Queuing in B5G Cloud Services. - Bin Han 004; Yihua Xu; Di Feng; Vincenzo Sciancalepore; Hans D. Schotten (CoRR, 2021)

Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges. - Di Feng; Christian Haase-Schütz; Lars Rosenbaum; Heinz Hertlein; Claudius Gläser; Fabian Timm; Werner Wiesbeck; Klaus Dietmayer (IEEE Trans. Intell. Transp. Syst., 2021)

Uncertainty estimation for object detection using deep learning approaches. - Di Feng (2021)

DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars. - Florian Drews; Di Feng; Florian Faion; Lars Rosenbaum; Michael Ulrich; Claudius Gläser (IROS, 2022)

Understanding the Domain Gap in LiDAR Object Detection Networks. - Jasmine Richter; Florian Faion; Di Feng; Paul Benedikt Becker; Piotr Sielecki; Claudius Gläser (CoRR, 2022)

A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving. - Di Feng; Ali Harakeh; Steven L. Waslander; Klaus Dietmayer (IEEE Trans. Intell. Transp. Syst., 2022)

Labels are Not Perfect: Inferring Spatial Uncertainty in Object Detection. - Di Feng; Zining Wang; Yiyang Zhou; Lars Rosenbaum; Fabian Timm; Klaus Dietmayer; Masayoshi Tomizuka; Wei Zhan (IEEE Trans. Intell. Transp. Syst., 2022)

Priors are Powerful: Improving a Transformer for Multi-camera 3D Detection with 2D Priors. - Di Feng; Francesco Ferroni (CoRR, 2023)

Revisiting Multi-modal 3D Semantic Segmentation in Real-world Autonomous Driving. - Feng Jiang; Chaoping Tu; Gang Zhang; Jun Li; Hanqing Huang; Junyu Lin; Di Feng; Jian Pu (CoRR, 2023)

Impatient Queuing for Intelligent Task Offloading in Multiaccess Edge Computing. - Bin Han 004; Vincenzo Sciancalepore; Yihua Xu; Di Feng; Hans D. Schotten (IEEE Trans. Wirel. Commun., 2023)

Data-driven implicit design preference prediction model for product concept evaluation via BP neural network and EEG. - Liting Jing; Chulin Tian; Shun He; Di Feng; Shaofei Jiang; Chunfu Lu (Adv. Eng. Informatics, 2023)

CT target scanning in the diagnosis of solid pseudopapillary tumor of the pancreas. - Hai-tao Wang; Yu-tao Wang; Zhi-hai Yu; Can Tu; Bin Lu; Liang Yu; Di Feng; Tie-gong Wang (BMC Medical Imaging, 2023)

LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies. - Jia Shi; Gautam Rajendrakumar Gare; Jinjin Tian; Siqi Chai; Zhiqiu Lin; Arun Balajee Vasudevan; Di Feng; Francesco Ferroni; Shu Kong (ICML, 2024)

Mitigating Causal Confusion in Vector-Based Behavior Cloning for Safer Autonomous Planning. - Jiayu Guo 001; Mingyue Feng; Pengfei Zhu; Jinsheng Dou; Di Feng; Chengjun Li; Ru Wan; Jian Pu (ICRA, 2024)

FastOcc: Accelerating 3D Occupancy Prediction by Fusing the 2D Bird's-Eye View and Perspective View. - Jiawei Hou; Xiaoyan Li; Wenhao Guan; Gang Zhang; Di Feng; Yuheng Du; Xiangyang Xue 001; Jian Pu (ICRA, 2024)

HP3: Hierarchical Prediction-Pretrained Planning for Unprotected Left Turn. - Zhihao Ou; Zhibo Wang; Yue Hua; Jinsheng Dou; Di Feng; Jian Pu (IROS, 2024)

A patent text-based product conceptual design decision-making approach considering the fusion of incomplete evaluation semantic and scheme beliefs. - Liting Jing; Xiaoyan Fan; Di Feng; Congda Lu; Shaofei Jiang (Appl. Soft Comput., 2024)

Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms. - Zhangheng Li; Keen You; Haotian Zhang 005; Di Feng; Harsh Agrawal; Xiujun Li; Mohana Prasad Sathya Moorthy; Jeff Nichols; Yinfei Yang; Zhe Gan (CoRR, 2024)

Conceptual design decision-making considering multigranularity heterogeneous evaluation semantics with uncertain beliefs. - Liting Jing; Haoyu Zhang; Yubo Dou; Di Feng; Weiqiang Jia; Shaofei Jiang (Expert Syst. Appl., 2024)

Characterizing the typewise top-trading-cycles mechanism for multiple-type housing markets. - Di Feng; Bettina Klaus; Flip Klijn (Games Econ. Behav., 2024)

Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms. - Zhangheng Li; Keen You; Haotian Zhang 005; Di Feng; Harsh Agrawal; Xiujun Li; Mohana Prasad Sathya Moorthy; Jeffrey Nichols 001; Yinfei Yang; Zhe Gan (ICLR, 2025)

A Patent Infringement Analysis Approach Based on Patent Knowledge Graph Driven Fusion of Graph and Image Similarity. - Liting Jing; Chenlong Zhou; Di Feng; Yubo Dou; Xiaoyan Fan; Shaofei Jiang (IEEE Access, 2025)

Sensitive detection of synthetic response to cancer immunotherapy driven by gene paralog pairs. - Chuanpeng Dong; Feifei Zhang; Emily He; Ping Ren; Nipun Verma; Xinxin Zhu; Di Feng; James Cai; Hongyu Zhao; Sidi Chen (Patterns, 2025)

Buyer-Initiated Auction Mechanism for Data Redemption in Machine Unlearning. - Bin Han 004; Di Feng; Jie Wang; Hans D. Schotten (CoRR, 2025)

Dynamic SOFA component scores-based deep learning for short to long-term mortality prediction in sepsis survivors. - Juan Wei; Feihong Lin; Tian Jin; Qian Yao; Sheng Wang; Di Feng; Xin Lv; Wen He (J. Big Data, 2025)