Yuhao Wu

According to our database, Yuhao Wu authored at least 68 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Adaptive Density Subgraph Clustering.

Hongjie Jia, Yuhao Wu, Qirong Mao, Yang Li, Heping Song

IEEE Trans. Comput. Soc. Syst., August, 2024

BMLP: behavior-aware MLP for heterogeneous sequential recommendation.

Weixin Li, Yuhao Wu, Yang Liu, Weike Pan, Zhong Ming

Frontiers Comput. Sci., June, 2024

CoBEV: Elevating Roadside 3D Object Detection With Depth and Height Complementarity.

Hao Shi, Chengshan Pang, Jiaming Zhang, Kailun Yang, Yuhao Wu, Huajian Ni, Yining Lin, Rainer Stiefelhagen, Kaiwei Wang

IEEE Trans. Image Process., 2024

Markov Modeling of Signal Condition Transitions for Bearing Diagnostics Under External Interference Conditions.

Peng Chen, Yuhao Wu, Chaojun Xu, Yaqiang Jin, Chengning Zhou

IEEE Trans. Instrum. Meas., 2024

An Improved Model for the Retrieval of Precipitable Water Vapor in All-Weather Conditions (RCMNT) Based on NIR and TIR Recordings of MODIS.

Yubo Wang, Nan Jiang, Yuhao Wu, Yan Xu, Hermann Kaufmann, Tianhe Xu

IEEE Trans. Geosci. Remote. Sens., 2024

Tightly Coupled Tomography Model for Atmospheric Water Vapor Based on Multisource Remote-Sensing and GNSS Data.

Song Li, Nan Jiang, Tianhe Xu, Honglei Yang, Ao Guo, Yuhao Wu, Yan Xu

IEEE Trans. Geosci. Remote. Sens., 2024

Potential of GNSS-R for the Monitoring of Lake Ice Phenology.

Yusof Ghiasi, Claude R. Duguay, Justin Murfitt, Milad Asgarimehr, Yuhao Wu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models.

Cong Guo, Feng Cheng, Zhixu Du, James Kiessling, Jonathan Ku, Shiyu Li, Ziru Li, Mingyuan Ma, Tergel Molom-Ochir, Benjamin Morris, Haoxuan Shan, Jingwei Sun, Yitu Wang, Chiyue Wei, Xueying Wu, Yuhao Wu, Hao Frank Yang, Jingyang Zhang, Junyao Zhang, Qilin Zheng, Guanglei Zhou, Hai Li, Yiran Chen

CoRR, 2024

LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs.

Yuhao Wu, Ming Shan Hee, Zhiqing Hu, Roy Ka-Wei Lee

CoRR, 2024

Data Exposure from LLM Apps: An In-depth Investigation of OpenAI's GPTs.

Evin Jaff, Yuhao Wu, Ning Zhang, Umar Iqbal

CoRR, 2024

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models.

Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, 2024

SecGPT: An Execution Isolation Architecture for LLM-Based Systems.

Yuhao Wu, Franziska Roesner, Tadayoshi Kohno, Ning Zhang, Umar Iqbal

CoRR, 2024

Mitigating Label Noise on Graph via Topological Sample Selection.

Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu

CoRR, 2024

Low Profile Orthomode Full-Duplex Antenna for Wearable Biomedical Communication.

Yuhao Wu, Galestan Mackertich-Sengerdy, Saber Soltani, Sawyer D. Campbell, Dongha Yang, Douglas H. Werner

IEEE Access, 2024

Your Firmware Has Arrived: A Study of Firmware Update Vulnerabilities.

Yuhao Wu, Jinwen Wang, Yujie Wang, Shixuan Zhai, Zihan Li, Yi He, Kun Sun, Qi Li, Ning Zhang

Proceedings of the 33rd USENIX Security Symposium, 2024

Please Tell Me More: Privacy Impact of Explainability through the Lens of Membership Inference Attack.

Han Liu, Yuhao Wu, Zhiyuan Yu, Ning Zhang

Proceedings of the IEEE Symposium on Security and Privacy, 2024

AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems.

Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models.

Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai Li, Yiran Chen

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Mitigating Label Noise on Graphs via Topological Sample Selection.

Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning.

Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

RightSizing: Disentangling Generative Models of Human Body Shapes with Metric Constraints.

Yuhao Wu, Chang Shu, Dinesh K. Pai

Proceedings of the 50th Graphics Interface Conference, 2024

MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling.

Xuzhe Zhang, Yuhao Wu, Elsa D. Angelini, Ang Li, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Pathik D. Wadhwa, Andrea Parolin Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Sustainable and Transferable Traffic Sign Recognition for Intelligent Transportation Systems.

Weipeng Cao, Yuhao Wu, Chinmay Chakraborty, Dachuan Li, Liang Zhao, Soumya Kanti Ghosh

IEEE Trans. Intell. Transp. Syst., December, 2023

Improving the capability of water vapor retrieval from Landsat 8 using ensemble machine learning.

Yuhao Wu, Nan Jiang, Yan Xu, Ta-Kang Yeh, Tianhe Xu, Yubo Wang, Wenbin Su

Int. J. Appl. Earth Obs. Geoinformation, August, 2023

Gradient-Constraint Super-Resolution Reconstruction Method Serving for Infrared Target Detection.

Tao Sun, Zhengqiang Xiong, Jie Yin, Yuhao Wu, Zhengxing Wang

IEEE Consumer Electron. Mag., March, 2023

A review on multimodal zero-shot learning.

Weipeng Cao, Yuhao Wu, Yixuan Sun, Haigang Zhang, Jin Ren, Dujuan Gu, Xingkai Wang

WIREs Data. Mining. Knowl. Discov., 2023

A Spatial PWV Retrieval Model Over Land for GCOM-W/AMSR2 Using Neural Network Method: A Case in the Western United States.

Zhaorui Gao, Nan Jiang, Yan Xu, Tianhe Xu, Rubing Zeng, Ao Guo, Yuhao Wu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Online Continual Knowledge Learning for Language Models.

Yuhao Wu, Tongjun Shi, Karthick Sharma, Chun-Wei Seah, Shuhao Zhang

CoRR, 2023

Harnessing Scalable Transactional Stream Processing for Managing Large Language Models [Vision].

Shuhao Zhang, Xianzhi Zeng, Yuhao Wu, Zhonghao Yang

CoRR, 2023

Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision.

Yuhao Wu, Xiaobo Xia, Jun Yu, Bo Han, Gang Niu, Masashi Sugiyama, Tongliang Liu

CoRR, 2023

3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI.

Xuzhe Zhang, Yuhao Wu, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Hyagriv N. Simhan, Sonja Entringer, Pathik D. Wadhwa, Claudia Buss, Cristiane S. Duarte, Andrea Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang

CoRR, 2023

Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation.

Dugang Liu, Yuhao Wu, Weixin Li, Xiaolian Zhang, Hao Wang, Qinjuan Yang, Zhong Ming

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models.

Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao

Proceedings of the International Conference on Machine Learning, 2023

SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams.

Yuhao Wu, Karthick Sharma, Chun Seah, Shuhao Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

IP Protection in TinyML.

Jinwen Wang, Yuhao Wu, Han Liu, Bo Yuan, Roger Chamberlain, Ning Zhang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation with Natural Prompts.

Han Liu, Yuhao Wu, Shixuan Zhai, Bo Yuan, Ning Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples.

Han Liu, Yuhao Wu, Zhiyuan Yu, Yevgeniy Vorobeychik, Ning Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

MFF: Multi-modal feature fusion for zero-shot learning.

Weipeng Cao, Yuhao Wu, Chengchao Huang, Muhammed J. A. Patwary, Xizhao Wang

Neurocomputing, 2022

Pavement crack detection using non-local theory and iterative sampling.

Zixian Wei, Tao Sun, Yuhao Wu, Liqing Zhou, Xiaoli Ruan

IET Image Process., 2022

Design of Quasi-Endfire Spoof Surface Plasmon Polariton Leaky-Wave Textile Wearable Antennas.

Yuhao Wu, Saber Soltani, Busra Sennik, Ying Zhou, Galestan Mackertich-Sengerdy, Eric B. Whiting, Douglas H. Werner, Jesse S. Jur

IEEE Access, 2022

Emotion Makes Rumor Viral? The Effects of Discrete Emotions on Rumor-Mongering on Social Media During a Social Crisis.

Yuhao Wu, Chuxin Zou, Ling Wang, Zhao Pan

Proceedings of the 21st Wuhan International Conference on E-Business, 2022

Work-in-Progress: Measuring Security Protection in Real-time Embedded Firmware.

Yuhao Wu, Yujie Wang, Shixuan Zhai, Zihan Li, Ao Li, Jinwen Wang, Ning Zhang

Proceedings of the IEEE Real-Time Systems Symposium, 2022

A Novel RVFL-Based Algorithm Selection Approach for Software Model Checking.

Weipeng Cao, Yuhao Wu, Qiang Wang, Jiyong Zhang, Xingjian Zhang, Meikang Qiu

Proceedings of the Knowledge Science, Engineering and Management, 2022

Multivariate Time Series Imputation Based on Masked Autoencoding with Transformer.

Yongsheng Wang, Hao Xu, Zhiwei Xu, Jing Gao, Yuhao Wu, Zhe Zhang

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Next Generation Federated Learning for Edge Devices: An Overview.

Jianyi Zhang, Zhixu Du, Jingwei Sun, Ang Li, Minxue Tang, Yuhao Wu, Zhihui Gao, Martin Kuo, Hai Helen Li, Yiran Chen

Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022

2021

DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber-Physical Systems.

Beibei Li, Yuhao Wu, Jiarui Song, Rongxing Lu, Tao Li, Liang Zhao

IEEE Trans. Ind. Informatics, 2021

Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud Segmentation.

Dawei Li, Guoliang Shi, Yuhao Wu, Yanping Yang, Mingbo Zhao

IEEE Trans. Circuits Syst. Video Technol., 2021

A novel framework for detecting social bots with deep neural networks and active learning.

Yuhao Wu, Yuzhou Fang, Shuaikang Shang, Jing Jin, Lai Wei, Haizhou Wang

Knowl. Based Syst., 2021

Semantic Auto-Encoder with L2-norm Constraint for Zero-Shot Learning.

Yuhao Wu, Weipeng Cao, Ye Liu, Zhong Ming, Jianqiang Li, Bo Lu

Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

2020

Anti-Honeypot Enabled Optimal Attack Strategy for Industrial Cyber-Physical Systems.

Beibei Li, Yue Xiao, Yaxin Shi, Qinglei Kong, Yuhao Wu, Haiyong Bao

IEEE Open J. Comput. Soc., 2020

Evolution of a Technology Standard Alliance Based on an Echo Model Developed through Complex Adaptive System Theory.

Hong Jiang, Chen Chen, Shukuan Zhao, Yuhao Wu

Complex., 2020

MI-HCS: Monotonically Increasing Hilbert Code Segments for 3D Geospatial Query Window.

Yuhao Wu, Xuefeng Cao, Wanzhong Sun

IEEE Access, 2020

Detecting Social Spammers in Sina Weibo Using Extreme Deep Factorization Machine.

Yuhao Wu, Yuzhou Fang, Shuaikang Shang, Lai Wei, Jing Jin, Haizhou Wang

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Perceptual Sensitivity Based Image Structure-Texture Decomposition.

Jinjian Wu, Yuhao Wu, Rong Che, Yongxu Liu

Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

ReAL: A New ResNet-ALSTM Based Intrusion Detection System for the Internet of Energy.

Jiarui Song, Beibei Li, Yuhao Wu, Yaxin Shi, Aohan Li

Proceedings of the 45th IEEE Conference on Local Computer Networks, 2020

Unsupervised Deep Learning for Just Noticeable Difference Estimation.

Yuhao Wu, Weiping Ji, Jinjian Wu

Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Research Progress of Zero-Shot Learning Beyond Computer Vision.

Weipeng Cao, Cong Zhou, Yuhao Wu, Zhong Ming, Zhiwu Xu, Jiyong Zhang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

2019

Real-Time Dense Monocular SLAM With Online Adapted Depth Prediction Network.

Hongcheng Luo, Yang Gao, Yuhao Wu, Chunyuan Liao, Xin Yang, Kwang-Ting Cheng

IEEE Trans. Multim., 2019

A PSO-based group decision making model with multiplicative reciprocal matrices under flexibility.

Fang Liu, Yuhao Wu, Jiawei Zhang, Qin Yu

Soft Comput., 2019

Reactive obstacle avoidance of monocular quadrotors with online adapted depth prediction network.

Xin Yang, Hongcheng Luo, Yuhao Wu, Yang Gao, Chunyuan Liao, Kwang-Ting Cheng

Neurocomputing, 2019

How do developers utilize source code from stack overflow?

Yuhao Wu, Shaowei Wang, Cor-Paul Bezemer, Katsuro Inoue

Empir. Softw. Eng., 2019

2018

A Modified Consensus Model in Group Decision Making With an Allocation of Information Granularity.

Fang Liu, Yuhao Wu, Witold Pedrycz

IEEE Trans. Fuzzy Syst., 2018

Optimizing Bus Stop Spacing Using the Simulated Annealing Algorithm with Spatial Interaction Coverage Model.

Yunlei Liang, Song Gao, Tianyu Wu, Sujing Wang, Yuhao Wu

Proceedings of the 11th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2018

2017

Analysis of license inconsistency in large collections of open source projects.

Yuhao Wu, Yuki Manabe, Tetsuya Kanda, Daniel M. Germán, Katsuro Inoue

Empir. Softw. Eng., 2017

How are Developers Treating License Inconsistency Issues? A Case Study on License Inconsistency Evolution in FOSS Projects.

Yuhao Wu, Yuki Manabe, Daniel M. Germán, Katsuro Inoue

Proceedings of the Open Source Systems: Towards Robust Practices, 2017

Evolution of code clone ratios throughout development history of open-source C and C++ programs.

Anfernee Goon, Yuhao Wu, Makoto Matsushita, Katsuro Inoue

Proceedings of the 11th IEEE International Workshop on Software Clones, 2017

2016

Jointly registering and fusing images from multiple sensors.

Yinghao Li, Zhongshi He, Hao Zhu, Weiwei Zhang, Yuhao Wu

Inf. Fusion, 2016

2015

A Method to Detect License Inconsistencies in Large-Scale Open Source Projects.

Yuhao Wu, Yuki Manabe, Tetsuya Kanda, Daniel M. Germán, Katsuro Inoue

Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015