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Zhe Zeng
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Books and Theses
- 2024
- [b2]Zhe Zeng:
Neurosymbolic Learning and Reasoning for Trustworthy AI. University of California, Los Angeles, USA, 2024 - 2022
- [b1]Zhe Zeng:
Design and development of natural eye typing interface. Technical University of Berlin, Germany, 2022
Journal Articles
- 2024
- [j17]Shanwei Liu, Xi Bu, Mingming Xu, Hui Sheng, Zhe Zeng, Muhammad Yasir:
SVSDet: A Fine-Grained Recognition Method for Ship Target Using Satellite Video. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4726-4742 (2024) - 2023
- [j16]Xiangda Yan, Zhe Zeng, Keyan He, Huajie Hong:
Multi-robot cooperative autonomous exploration via task allocation in terrestrial environments. Frontiers Neurorobotics 17 (2023) - [j15]Zhe Zeng, Elisabeth Sumithra Neuer, Matthias Roetting, Felix Wilhelm Siebert:
A One-Point Calibration Design for Hybrid Eye Typing Interface. Int. J. Hum. Comput. Interact. 39(18): 3620-3633 (2023) - [j14]Shanwei Liu, Mocun Li, Mingming Xu, Zhe Zeng:
An Improved Lightweight U-Net for Sea Ice Lead Extraction From Multipolarization SAR Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j13]Muhammad Yasir, Jianhua Wan, Mingming Xu, Hui Sheng, Zhe Zeng, Shanwei Liu, Arife Tugsan Isiacik Colak, Md Sakaouth Hossain:
Ship detection based on deep learning using SAR imagery: a systematic literature review. Soft Comput. 27(1): 63-84 (2023) - [j12]Shanwei Liu, Chuanping Qu, Mingming Xu, Jianhua Wan, Hui Sheng, Zhe Zeng, Jianyong Cui:
An Improved Kuhn Munkres Algorithm for Ship Matching in Optical Satellite Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4724-4738 (2023) - [j11]Jianmeng Li, Hui Sheng, Mingming Xu, Shanwei Liu, Zhe Zeng:
BAMS-FE: Band-by-Band Adaptive Multiscale Superpixel Feature Extraction for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - 2021
- [j10]Zhe Zeng, Di Wang, Wenxia Tan, Gongliang Yu, Jiacheng You, Botao Lv, Zhongheng Wu:
RCSANet: A Full Convolutional Network for Extracting Inland Aquaculture Ponds from High-Spatial-Resolution Images. Remote. Sens. 13(1): 92 (2021) - [j9]Pei Du, Zhe Zeng, Jingwei Zhang, Lu Liu, Jianchang Yang, Chuanping Qu, Li Jiang, Shanwei Liu:
Fog Season Risk Assessment for Maritime Transportation Systems Exploiting Himawari-8 Data: A Case Study in Bohai Sea, China. Remote. Sens. 13(17): 3530 (2021) - 2020
- [j8]Feng Zhao, Zhe Zeng, Hanqiang Liu, Rong Lan, Jiulun Fan:
Semisupervised Approach to Surrogate-Assisted Multiobjective Kernel Intuitionistic Fuzzy Clustering Algorithm for Color Image Segmentation. IEEE Trans. Fuzzy Syst. 28(6): 1023-1034 (2020) - 2019
- [j7]Feng Zhao, Zhe Zeng, Hanqiang Liu, Jiulun Fan:
A Kriging-Assisted Reference Vector Guided Multi-Objective Evolutionary Fuzzy Clustering Algorithm for Image Segmentation. IEEE Access 7: 21465-21481 (2019) - [j6]Zhe Zeng, Di Wang, Wenxia Tan, Jianhua Huang:
Extracting aquaculture ponds from natural water surfaces around inland lakes on medium resolution multispectral images. Int. J. Appl. Earth Obs. Geoinformation 80: 13-25 (2019) - 2018
- [j5]Ling Ke, Yukun Lin, Zhe Zeng, Lifu Zhang, Lingkui Meng:
Adaptive Change Detection With Significance Test. IEEE Access 6: 27442-27450 (2018) - [j4]Tong Zhang, Shaoxuan Dong, Zhe Zeng, Jing Li:
Quantifying multi-modal public transit accessibility for large metropolitan areas: a time-dependent reliability modeling approach. Int. J. Geogr. Inf. Sci. 32(8): 1649-1676 (2018) - 2016
- [j3]Zhe Zeng, Tong Zhang, Qingquan Li, Zhongheng Wu, Haixiang Zou, Chunxian Gao:
Curvedness feature constrained map matching for low-frequency probe vehicle data. Int. J. Geogr. Inf. Sci. 30(4): 660-690 (2016) - 2011
- [j2]Qingquan Li, Zhe Zeng, Tong Zhang, Jonathan Li, Zhongheng Wu:
Path-finding through flexible hierarchical road networks: An experiential approach using taxi trajectory data. Int. J. Appl. Earth Obs. Geoinformation 13(1): 110-119 (2011) - 2009
- [j1]Qingquan Li, Zhe Zeng, Bisheng Yang:
Hierarchical model of road network for route planning in vehicle navigation systems. IEEE Intell. Transp. Syst. Mag. 1(2): 20-24 (2009)
Conference and Workshop Papers
- 2024
- [c18]Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris:
Probabilistically Rewired Message-Passing Neural Networks. ICLR 2024 - [c17]Lea Turriziani, Johannes Kraus, Stephanie Ruess, Zhe Zeng, Shyam Sundar Kannan:
Robots on the road - Investigating potentials of eHMI-concepts for HRI to tackle critical situations in public spaces. RO-MAN 2024: 1681-1688 - 2023
- [c16]Yizhuo Chen, Kaizhao Liang, Zhe Zeng, Shuochao Yao, Huajie Shao:
A Unified Knowledge Distillation Framework for Deep Directed Graphical Models. CVPR 2023: 7795-7804 - [c15]Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck:
SIMPLE: A Gradient Estimator for k-Subset Sampling. ICLR 2023 - [c14]Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van den Broeck:
A Unified Approach to Count-Based Weakly Supervised Learning. NeurIPS 2023 - [c13]Zhe Zeng, Guy Van den Broeck:
Collapsed Inference for Bayesian Deep Learning. NeurIPS 2023 - 2021
- [c12]Yang Li, Hao Cheng, Zhe Zeng, Hailong Liu, Monika Sester:
Autonomous Vehicles Drive into Shared Spaces: eHMI Design Concept Focusing on Vulnerable Road Users. ITSC 2021: 1729-1736 - [c11]Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Van den Broeck:
Tractable computation of expected kernels. UAI 2021: 1163-1173 - 2020
- [c10]Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck:
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing. ICML 2020: 10990-11000 - [c9]Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck:
Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations. NeurIPS 2020 - 2019
- [c8]Xiaoqi Wang, Li Jiang, Yanfang Xiao, Chunyang Zhu, Kaiqiang Ma, Shanwei Liu, Zhe Zeng:
Spatially Assessing Navigational Environmental Risk Along Fairway in Foggy Season Exploiting Modis Data. IGARSS 2019: 4268-4271 - [c7]Zhe Zeng, Guy Van den Broeck:
Efficient Search-Based Weighted Model Integration. UAI 2019: 175-185 - 2018
- [c6]Zhe Zeng, Matthias Roetting:
A text entry interface using smooth pursuit movements and language model. ETRA 2018: 69:1-69:2 - [c5]Dilin Wang, Zhe Zeng, Qiang Liu:
Stein Variational Message Passing for Continuous Graphical Models. ICML 2018: 5206-5214 - 2013
- [c4]Shujuan Sun, Zhe Zeng:
UAV image mosaic based on adaptive SIFT algorithm. Geoinformatics 2013: 1-6 - [c3]Zhe Zeng, Jianhua Huang, Zhongheng Wu:
Navigation map update framework under BeiDou RDSS mechanism. Geoinformatics 2013: 1-5 - 2012
- [c2]Jianhua Wan, Ronggang Huang, Zhe Zeng, Shujuan Sun:
A curvature-based statistical method for generating DTM from LiDAR Point Cloud. Geoinformatics 2012: 1-4 - 2008
- [c1]Qingquan Li, Zhe Zeng:
A Voronoi-based Hierarchical Graph Model of Road Network for Route Planning. ITSC 2008: 599-604
Informal and Other Publications
- 2023
- [i13]Hailong Liu, Yang Li, Zhe Zeng, Hao Cheng, Chen Peng, Takahiro Wada:
Is Silent eHMI Enough? A Passenger-Centric Study on Effective eHMI for Autonomous Personal Mobility Vehicles in the Field. CoRR abs/2305.17862 (2023) - [i12]Zhe Zeng, Guy Van den Broeck:
Collapsed Inference for Bayesian Deep Learning. CoRR abs/2306.09686 (2023) - [i11]Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris:
Probabilistically Rewired Message-Passing Neural Networks. CoRR abs/2310.02156 (2023) - [i10]Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van den Broeck:
A Unified Approach to Count-Based Weakly-Supervised Learning. CoRR abs/2311.13718 (2023) - [i9]Zhe Zeng, Xiao Wang, Felix Wilhelm Siebert, Hailong Liu:
Enhancing Hybrid Eye Typing Interfaces with Word and Letter Prediction: A Comprehensive Evaluation. CoRR abs/2312.08731 (2023) - 2022
- [i8]Zhe Zeng, Sai Liu, Hao Cheng, Hailong Liu, Yang Li, Yu Feng, Felix Wilhelm Siebert:
GaVe: A Webcam-Based Gaze Vending Interface Using One-Point Calibration. CoRR abs/2201.05533 (2022) - [i7]Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck:
SIMPLE: A Gradient Estimator for k-Subset Sampling. CoRR abs/2210.01941 (2022) - 2021
- [i6]Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Van den Broeck:
Tractable Computation of Expected Kernels by Circuits. CoRR abs/2102.10562 (2021) - [i5]Yang Li, Hao Cheng, Zhe Zeng, Hailong Liu, Monika Sester:
Autonomous Vehicles Drive into Shared Spaces: eHMI Design Concept Focusing on Vulnerable Road Users. CoRR abs/2104.06916 (2021) - 2020
- [i4]Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck:
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing. CoRR abs/2003.00126 (2020) - 2019
- [i3]Zhe Zeng, Guy Van den Broeck:
Efficient Search-Based Weighted Model Integration. CoRR abs/1903.05334 (2019) - [i2]Zhe Zeng, Fanqi Yan, Paolo Morettin, Antonio Vergari, Guy Van den Broeck:
Hybrid Probabilistic Inference with Logical Constraints: Tractability and Message Passing. CoRR abs/1909.09362 (2019) - 2017
- [i1]Dilin Wang, Zhe Zeng, Qiang Liu:
Structured Stein Variational Inference for Continuous Graphical Models. CoRR abs/1711.07168 (2017)
Coauthor Index
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last updated on 2024-11-08 20:33 CET by the dblp team
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