Wenhao Lu

According to our database, Wenhao Lu authored at least 25 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Soil Classification Mapping Using a Combination of Semi-Supervised Classification and Stacking Learning (SSC-SL).

Fubin Zhu, Changda Zhu, Wenhao Lu, Zihan Fang, Zhaofu Li, Jianjun Pan

Remote. Sens., January, 2024

Causal State Distillation for Explainable Reinforcement Learning.

Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter

CoRR, 2024

2023

Analysis on the inherent noise tolerance of feedforward network and one noise-resilient structure.

Wenhao Lu, Zhengyuan Zhang, Feng Qin, Wenwen Zhang, Yuncheng Lu, Yue Liu, Yuanjin Zheng

Neural Networks, August, 2023

Phase-matching quantum key distribution based on heralded pair-coherent source.

Le Han, Yang Yu, Wenhao Lu, Ke Xue, Wenting Li, Shengmei Zhao

Quantum Inf. Process., 2023

Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic.

Xufeng Zhao, Mengdi Li, Wenhao Lu, Cornelius Weber, Jae Hee Lee, Kun Chu, Stefan Wermter

CoRR, 2023

Finite element error estimates for the nonlinear Schrödinger-Poisson model.

Tao Cui, Wenhao Lu, Naiyan Pan, Weiying Zheng

CoRR, 2023

A Closer Look at Reward Decomposition for High-Level Robotic Explanations.

Wenhao Lu, Sven Magg, Xufeng Zhao, Martin Gromniak, Stefan Wermter

CoRR, 2023

Personalized Retrieval over Millions of Items.

Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Switching Impulse Discharge Characteristics of Ring-plate Air Gap at High Altitude.

Yong Sun, Xiao Wei, Wenhao Lu, Yanjie Cui, Hailin Shi, Zhijin Zhang

Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

A Closer Look at Reward Decomposition for High-Level Robotic Explanations.

Wenhao Lu, Xufeng Zhao, Sven Magg, Martin Gromniak, Mengdi Li, Stefan Wermter

Proceedings of the IEEE International Conference on Development and Learning, 2023

2022

DNN-kWTA With Bounded Random Offset Voltage Drifts in Threshold Logic Units.

Wenhao Lu, Chi-Sing Leung, John Sum, Yi Xiao

IEEE Trans. Neural Networks Learn. Syst., 2022

Digital Mapping of Soil Organic Carbon Based on Machine Learning and Regression Kriging.

Changda Zhu, Yuchen Wei, Fubin Zhu, Wenhao Lu, Zihan Fang, Zhaofu Li, Jianjun Pan

Sensors, 2022

Landscape Classification System Based on RKM Clustering for Soil Survey UAV Images-Case Study of the Small Hilly Areas in Jurong City.

Zihan Fang, Wenhao Lu, Fubin Zhu, Changda Zhu, Zhaofu Li, Jianjun Pan

Sensors, 2022

What's on Your Mind, NICO?

Matthias Kerzel, Jakob Ambsdorf, Dennis Becker, Wenhao Lu, Erik Strahl, Josua Spisak, Connor Gaede, Tom Weber, Stefan Wermter

Künstliche Intell., 2022

The most tenuous group query.

Na Li, Huaijie Zhu, Wenhao Lu, Ningning Cui, Wei Liu, Jian Yin, Jianliang Xu, Wang-Chien Lee

Frontiers Comput. Sci., 2022

Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA Model.

Wenhao Lu, Chi-Sing Leung, John Sum

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

Analysis on Noisy Boltzmann Machines and Noisy Restricted Boltzmann Machines.

Wenhao Lu, Chi-Sing Leung, John Sum

IEEE Access, 2021

2020

TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval.

Wenhao Lu, Jian Jiao, Ruofei Zhang

CoRR, 2020

Analysis on the Boltzmann Machine with Random Input Drifts in Activation Function.

Wenhao Lu, Chi-Sing Leung, John Sum

Proceedings of the Neural Information Processing - 27th International Conference, 2020

TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval.

Wenhao Lu, Jian Jiao, Ruofei Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2014

Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency.

Wenhao Lu, Xiaochen Lian, Alan L. Yuille

Proceedings of the British Machine Vision Conference, 2014

2012

Combining Fast Extracted Edge Descriptors and Feature Sharing for Rapid Object Detection.

Yali Li, Fei He, Wenhao Lu, Shengjin Wang

Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012

2011

Contextual image search.

Wenhao Lu, Jingdong Wang, Xian-Sheng Hua, Shengjin Wang, Shipeng Li

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

2010

Part Detection, Description and Selection Based on Hidden Conditional Random Fields.

Wenhao Lu, Shengjin Wang, Xiaoqing Ding

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

Vehicle Detection and Tracking in Relatively Crowded Conditions.

Wenhao Lu, Shengjin Wang, Xiaoqing Ding

Proceedings of the IEEE International Conference on Systems, 2009