Vehicle Detection and Tracking in Relatively Crowded Conditions. - Wenhao Lu; Shengjin Wang; Xiaoqing Ding (SMC, 2009)

Part Detection, Description and Selection Based on Hidden Conditional Random Fields. - Wenhao Lu; Shengjin Wang; Xiaoqing Ding (ICPR, 2010)

Contextual image search. - Wenhao Lu; Jingdong Wang 001; Xian-Sheng Hua 001; Shengjin Wang; Shipeng Li 001 (ACM Multimedia, 2011)

Combining Fast Extracted Edge Descriptors and Feature Sharing for Rapid Object Detection. - Yali Li 001; Fei He; Wenhao Lu; Shengjin Wang (ACCV Workshops (2), 2012)

Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency. - Wenhao Lu; Xiaochen Lian; Alan L. Yuille (BMVC, 2014)

TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval. - Wenhao Lu; Jian Jiao 007; Ruofei Zhang (CIKM, 2020)

Analysis on the Boltzmann Machine with Random Input Drifts in Activation Function. - Wenhao Lu; Chi-Sing Leung; John Sum (ICONIP (3), 2020)

TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval. - Wenhao Lu; Jian Jiao 007; Ruofei Zhang (CoRR, 2020)

Analysis on Noisy Boltzmann Machines and Noisy Restricted Boltzmann Machines. - Wenhao Lu; Chi-Sing Leung; John Sum (IEEE Access, 2021)

Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA Model. - Wenhao Lu; Chi-Sing Leung; John Sum (ICONIP (4), 2022)

The most tenuous group query. - Na Li; Huaijie Zhu; Wenhao Lu; Ningning Cui; Wei Liu 061; Jian Yin 001; Jianliang Xu; Wang-Chien Lee (Frontiers Comput. Sci., 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)

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)

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)

DNN-kWTA With Bounded Random Offset Voltage Drifts in Threshold Logic Units. - Wenhao Lu; Chi-Sing Leung; John Sum; Yi Xiao 004 (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Closer Look at Reward Decomposition for High-Level Robotic Explanations. - Wenhao Lu; Xufeng Zhao 002; Sven Magg; Martin Gromniak; Mengdi Li; Stefan Wermter (ICDL, 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 (iSPEC, 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 (SIGIR, 2023)

A Closer Look at Reward Decomposition for High-Level Robotic Explanations. - Wenhao Lu; Sven Magg; Xufeng Zhao 002; Martin Gromniak; Stefan Wermter (CoRR, 2023)

Finite element error estimates for the nonlinear Schrödinger-Poisson model. - Tao Cui; Wenhao Lu; Naiyan Pan; Weiying Zheng (CoRR, 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)

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, 2023)

OpenSN: An Open Source Library for Emulating LEO Satellite Networks. - Wenhao Lu; Zhiyuan Wang 004; Shan Zhang 001; Qingkai Meng; Hongbin Luo (APNet, 2024)

A 1.12nJ/Pixel High-Accuracy and Memory-Efficient Real-Time Object Detection Processor for Neuromorphic Vision Sensors. - Zehao Li; Wenhao Lu; Yuncheng Lu; Junying Li; Yucen Shi; Yuanjin Zheng; Tony Tae-Hyoung Kim (A-SSCC, 2024)

Causal State Distillation for Explainable Reinforcement Learning. - Wenhao Lu; Xufeng Zhao 002; Thilo Fryen; Jae Hee Lee 001; Mengdi Li; Sven Magg; Stefan Wermter (CLeaR, 2024)

Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic. - Xufeng Zhao 002; Mengdi Li; Wenhao Lu; Cornelius Weber; Jae Hee Lee 001; Kun Chu; Stefan Wermter (LREC/COLING, 2024)

Large Language Models for Orchestrating Bimanual Robots. - Kun Chu; Xufeng Zhao 002; Cornelius Weber; Mengdi Li; Wenhao Lu; Stefan Wermter (Humanoids, 2024)

Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. - Xiaowen Sun; Xufeng Zhao 002; Jae Hee Lee 001; Wenhao Lu; Matthias Kerzel; Stefan Wermter (ICANN (4), 2024)

Live Demonstration: Real-Time Object Detection & Classification System in IoT with Dynamic Neuromorphic Vision Sensors. - Zehao Li; Wenhao Lu; Yuncheng Lu; Junying Li; Yucen Shi; Yuanjin Zheng; Tony Tae-Hyoung Kim (ISCAS, 2024)

An Energy-Efficient Object Detection System in IoT with Dynamic Neuromorphic Vision Sensors. - Zehao Li; Wenhao Lu; Yuncheng Lu; Junying Li; Yucen Shi; Yuanjin Zheng; Tony Tae-Hyoung Kim (ISCAS, 2024)

A Memory-Efficient High-Speed Event-based Object Tracking System. - Yuncheng Lu; Kaixiang Cui; Yucen Shi; Zehao Li; Junying Li; Wenhao Lu; Yuanjin Zheng; Tony Tae-Hyoung Kim (ISCAS, 2024)

How to Route CUBIC and BBR Packets in Space. - Shuo Huang; Zhiyuan Wang 004; Wenhao Lu; Kai Shen; Jiayi Zhang; Shan Zhang 001; Hongbin Luo (WiOpt, 2024)

A new framework of high-order unfitted finite element methods using ALE maps for moving-domain problems. - Wenhao Lu; Chuwen Ma; Weiying Zheng (CoRR, 2024)

Mental Modeling of Reinforcement Learning Agents by Language Models. - Wenhao Lu; Xufeng Zhao 002; Josua Spisak; Jae Hee Lee 001; Stefan Wermter (CoRR, 2024)

QSpec: Speculative Decoding with Complementary Quantization Schemes. - Juntao Zhao; Wenhao Lu; Sheng Wang; Lingpeng Kong; Chuan Wu (CoRR, 2024)

Event-frame object detection under dynamic background condition. - Wenhao Lu; Zehao Li; Junying Li; Yuncheng Lu; Tony Tae-Hyoung Kim (J. Electronic Imaging, 2024)

A Spatial-Contextual Neural Network for Fine-Scaled Ridgeline and Valleyline Extraction. - Kangshou Li; Qiyue Zhang; Musen Yang; Qian Zhang; Wenhao Lu; Xiran Zhou (IEEE Geosci. Remote. Sens. Lett., 2024)

Constructing Soil-Landscape Units Based on Slope Position and Land Use to Improve Soil Prediction Accuracy. - Changda Zhu; Fubin Zhu; Cheng Li; Wenhao Lu; Zihan Fang; Zhaofu Li; Jianjun Pan (Remote. Sens., 2024)

Data augmentation based on diffusion probabilistic model for remaining useful life estimation of aero-engines. - Wei Wang 444; Honghao Song; Shubin Si; Wenhao Lu; Zhiqiang Cai 003 (Reliab. Eng. Syst. Saf., 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., 2024)

Extracting Typical Samples Based on Image Environmental Factors to Obtain an Accurate and High-Resolution Soil Type Map. - Changda Zhu; Fubin Zhu; Cheng Li; Yunxin Yan; Wenhao Lu; Zihan Fang; Zhaofu Li; Jianjun Pan (Remote. Sens., 2024)

A hybrid feature selection model for identifying groups of critical elements in aero-engine assembly. - Jiali Cheng; Zongchun Hu; Wenhao Lu; Keqin Wang; Zhiqiang Cai 003 (Qual. Reliab. Eng. Int., 2024)

A Fully Probabilistic Model for Sigmoid Approximation and Its Hardware- Efficient Implementation. - Wenhao Lu; Minshan Lu; Xiangfen Zhang; Zhongzhiguang Lu; Miao Sun; Boyi Dong; Zhou Shu (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Influence of Imperfections on the Operational Correctness of DNN-kWTA Model. - Wenhao Lu; Chi-Sing Leung; John Sum (IEEE Trans. Neural Networks Learn. Syst., 2024)

Effect of Time-Varying Multiplicative Noise on DNN-kWTA Model. - Wenhao Lu; Yuanjin Zheng; Chi-Sing Leung (IEEE Trans. Neural Networks Learn. Syst., 2024)

Leveraging Symbolic Models in Reinforcement Learning for Multi-skill Chaining*. - Wenhao Lu; Maximilian Diehl; Jonas Sjöberg; Karinne Ramirez-Amaro (SII, 2025)

Formal analysis on the DNN-kWTA model with non-ideal transfer function and noisy integrator. - Wenhao Lu; Yuanjin Zheng; Chi-Sing Leung (Neurocomputing, 2025)

Mental Modelling of Reinforcement Learning Agents by Language Models. - Wenhao Lu; Xufeng Zhao 002; Josua Spisak; Jae Hee Lee 001; Stefan Wermter (Trans. Mach. Learn. Res., 2025)

Baichuan-Omni-1.5 Technical Report. - Yadong Li; Jun Liu; Tao Zhang 001; Tao Zhang 001; Song Chen; Tianpeng Li; Zehuan Li; Lijun Liu; Lingfeng Ming; Guosheng Dong; Da Pan 003; Chong Li; et al. (CoRR, 2025)

Inverse Materials Design by Large Language Model-Assisted Generative Framework. - Yun Hao; Che Fan; Beilin Ye; Wenhao Lu; Zhen Lu; Peilin Zhao; Zhifeng Gao; Qingyao Wu; Yanhui Liu; Tongqi Wen (CoRR, 2025)

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue. - Wenhao Lu; Zhengqiu Zhu; Yong Zhao; Yonglin Tian; Junjie Zeng; Jun Zhang 040; Zhong Liu 002; Fei-Yue Wang 001 (CoRR, 2025)

Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback. - Mengdi Li; Jiaye Lin; Xufeng Zhao 002; Wenhao Lu; Peilin Zhao; Stefan Wermter; Di Wang (CoRR, 2025)

OpenSN: An Open Source Library for Emulating LEO Satellite Networks. - Wenhao Lu; Zhiyuan Wang 004; Hefan Zhang; Shan Zhang 001; Hongbin Luo (IEEE Trans. Parallel Distributed Syst., 2025)