Pengcheng Wu

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 46

Top Topics

Reinforcement Learning

Image Retrieval

Coordinate Ascent

Top Venues

Knowl. Based Syst.

Publications

Dengfeng Li, Jian Li, Pengcheng Wu, Guangyao Zhao, Qing'Ao Qu, Xinge Yu
Recent Advances in Electrically Driven Soft Actuators across Dimensional Scales from 2D to 3D. Adv. Intell. Syst. 6 (2) (2024)
Yuanguo Lin, Fan Lin, Guorong Cai, Hong Chen, Lixin Zou, Pengcheng Wu
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions. CoRR (2024)
Shibo Feng, Chunyan Miao, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Yang Zhang, Peilin Zhao
Multi-Scale Attention Flow for Probabilistic Time Series Forecasting. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Zhongwen Li, He Xie, Zhouqian Wang, Daoyuan Li, Kuan Chen, Xihang Zong, Wei Qiang, Feng Wen, Zhihong Deng, Limin Chen, Huiping Li, He Dong, Pengcheng Wu, Tao Sun, Yan Cheng, Yanning Yang, Jinsong Xue, Qinxiang Zheng, Jiewei Jiang, Wei Chen
Deep learning for multi-type infectious keratitis diagnosis: A nationwide, cross-sectional, multicenter study. npj Digit. Medicine 7 (1) (2024)
Pengcheng Wu, Jun Chen
Data-driven zonotopic approximation for n-dimensional probabilistic geofencing. Reliab. Eng. Syst. Saf. 244 (2024)
Yuanguo Lin, Wei Zhang, Fan Lin, Wenhua Zeng, Xiuze Zhou, Pengcheng Wu
Knowledge-aware reasoning with self-supervised reinforcement learning for explainable recommendation in MOOCs. Neural Comput. Appl. 36 (8) (2024)
Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao
Test-Time Model Adaptation with Only Forward Passes. CoRR (2024)
Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning. IJCAI (2023)
Lei Li, Mengnan He, Pengcheng Wu, Peng Liu, Ke Huang, Fan Pan, Peng Chen, Qijun Zhao
Video-based Red Panda Individual Identification by Adaptively Aggregating Discriminative Features. IJCNN (2023)
Yu Song, Pengcheng Wu, Dongming Dai, Kunli Zhang, Chenghao Zhang, Hengxing Zhang, Xiaomei Liu, Jie Li
Research on the Structure of Pediatric Epilepsy Electronic Medical Records Based on Transfer Learning. CLSW (2) (2023)
Yuanguo Lin, Hong Chen, Wei Xia, Fan Lin, Pengcheng Wu, Zongyue Wang, Yong Li
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining. CoRR (2023)
Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu
Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. AAAI (2023)
Yan Fang, Wenyan Wang, Pengcheng Wu, Yunfan Zhao
A sentiment-enhanced hybrid model for crude oil price forecasting. Expert Syst. Appl. 215 (2023)
Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. CoRR (2023)
Shijie Zhou, Zelun Li, Zhongliang Lv, Chuande Zhou, Pengcheng Wu, Changshuang Zhu, Wei Liu
Research on Positioning Accuracy of Mobile Robot in Indoor Environment Based on Improved RTABMAP Algorithm. Sensors 23 (23) (2023)
Pengcheng Wu, Sonia Martínez, Jun Chen
Convex Approximation for Probabilistic Reachable Set under Data-driven Uncertainties. CoRR (2023)
Rui Xu, Jiaxin Zhao, Xinchen Ye, Pengcheng Wu, Zhihui Wang, Haojie Li, Yen-Wei Chen
Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation. MICCAI (2) (2022)
Shibo Feng, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Fan Lin, Peilin Zhao
Multi-scale Attention Flow for Probabilistic Time Series Forecasting. CoRR (2022)
Rui Xu, Yufeng Wang, Xinchen Ye, Pengcheng Wu, Yen-Wei Chen, Fangyi Xu, Wenchao Zhu, Chao Chen, Yong Zhou, Hongjie Hu, Xiaofeng Qu, Shoji Kido, Noriyuki Tomiyama
Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions. ICASSP (2022)
Jiawei Fu, Pengcheng Wu, Hao Cai
A High Reliability Sensing Amplifier for Hybrid MTJ/CMOS Circuits. ICTA (2022)
Hao Cai, Xinfang Tong, Pengcheng Wu, Xinning Liu, Bo Liu
Bit-error-rate aware sensing-error correction interaction in spintronic MRAM. J. Syst. Archit. 128 (2022)
Wei Zhang, Yuanguo Lin, Yong Liu, Huanyu You, Pengcheng Wu, Fan Lin, Xiuze Zhou
Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation. Appl. Soft Comput. 131 (2022)
Pengcheng Wu, Xuxi Yang, Peng Wei, Jun Chen
Safety Assured Online Guidance With Airborne Separation for Urban Air Mobility Operations in Uncertain Environments. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Chengxiang Zhan, Qingyan Meng, Ying Zhang, Mona Allam, Pengcheng Wu, Linlin Zhang, Xian Lu
Application of 3D Error Diagram in Thermal Infrared Earthquake Prediction: Qinghai-Tibet Plateau. Remote. Sens. 14 (23) (2022)
Yuanguo Lin, Fan Lin, Lvqing Yang, Wenhua Zeng, Yong Liu, Pengcheng Wu
Context-aware reinforcement learning for course recommendation. Appl. Soft Comput. 125 (2022)
Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning. CoRR (2022)
Pengcheng Wu, Yan He, Yufeng Li, Yulin Wang, Shilong Wang
Online Prediction of Cutting Temperature Using Self-Adaptive Local Learning and Dynamic CNN. IEEE Trans. Ind. Informatics 18 (12) (2022)
Yuanguo Lin, Fan Lin, Wenhua Zeng, Jianbing Xiahou, Li Li, Pengcheng Wu, Yong Liu, Chunyan Miao
Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation. Knowl. Based Syst. 244 (2022)
Li Li, Fan Lin, Jianbing Xiahou, Yuanguo Lin, Pengcheng Wu, Yong Liu
Federated low-rank tensor projections for sequential recommendation. Knowl. Based Syst. 255 (2022)
Yarui Duan, Liguo Jiao, Pengcheng Wu, Yuying Zhou
Existence of Pareto Solutions for Vector Polynomial Optimization Problems with Constraints. J. Optim. Theory Appl. 195 (1) (2022)
Pengcheng Wu, Junfei Xie, Yanchao Liu, Jun Chen
Risk-bounded Path Planning for Urban Air Mobility Operations under Uncertainty. CoRR (2021)
Yuanguo Lin, Yong Liu, Fan Lin, Pengcheng Wu, Wenhua Zeng, Chunyan Miao
A Survey on Reinforcement Learning for Recommender Systems. CoRR (2021)
Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. CoRR (2021)
Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. AAAI (2021)
Yuanguo Lin, Shibo Feng, Fan Lin, Wenhua Zeng, Yong Liu, Pengcheng Wu
Adaptive course recommendation in MOOCs. Knowl. Based Syst. 224 (2021)
Pengcheng Wu, Zhenguo Yang, Guanglin Li, Yanlong Tai
3-Dimensional Logic Motion Sensing of Polyvinylidene Fluoride for Self-Powered Flexible Interactive Electronics. RCAR (2021)
Chengfu Wang, Pengcheng Wu, Yuying Zhou
An Optimal Control Problem Governed by a Kirchhoff-Type Variational Inequality. J. Appl. Math. 2020 (2020)
Lu Liu, Fan Lin, Beizhan Wang, Kangkang Li, Meng Xiao, Jianbing Xiahou, Pengcheng Wu
Prerequisite Relation Learning for Course Concepts Based on Hyperbolic Deep Representation. IEEE Access 8 (2020)
Pengcheng Wu, Junfei Xie, Jun Chen
Safe Path Planning for Unmanned Aerial Vehicle under Location Uncertainty. ICCA (2020)
Peilin Zhao, Dayong Wang, Pengcheng Wu, Steven C. H. Hoi
A Unified Framework for Sparse Online Learning. ACM Trans. Knowl. Discov. Data 14 (5) (2020)
Zhenggang Cao, Mengmeng Liu, Pengcheng Wu
Experiment Investigation and Numerical Simulation of Snowdrift on a Typical Large-Span Retractable Roof. Complex. 2019 (2019)
Xudong Sun, Pengcheng Wu, Steven C. H. Hoi
Face detection using deep learning: An improved faster RCNN approach. Neurocomputing 299 (2018)
Bifang He, Lixu Jiang, Yaocong Duan, Guoshi Chai, Yewei Fang, Juanjuan Kang, Min Yu, Ning Li, Zhongjie Tang, Pengcheng Yao, Pengcheng Wu, Ratmir Derda, Jian Huang
Biopanning data bank 2018: hugging next generation phage display. Database J. Biol. Databases Curation 2018 (2018)
Ji Wan, Sheng Tang, Yongdong Zhang, Jintao Li, Pengcheng Wu, Steven C. H. Hoi
HDIdx: High-dimensional indexing for efficient approximate nearest neighbor search. Neurocomputing 237 (2017)
Xudong Sun, Pengcheng Wu, Steven C. H. Hoi
Face Detection using Deep Learning: An Improved Faster RCNN Approach. CoRR (2017)
Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Chunyan Miao, Zhiyong Liu
Online Multi-Modal Distance Metric Learning with Application to Image Retrieval. IEEE Trans. Knowl. Data Eng. 28 (2) (2016)
Dayong Wang, Pengcheng Wu, Peilin Zhao, Steven C. H. Hoi
A Framework of Sparse Online Learning and Its Applications. CoRR (2015)
Ji Wan, Sheng Tang, Yongdong Zhang, Jintao Li, Pengcheng Wu, Steven C. H. Hoi
HDIdx: High-Dimensional Indexing for Efficient Approximate Nearest Neighbor Search. CoRR (2015)
Ji Wan, Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Xingyu Gao, Dayong Wang, Yongdong Zhang, Jintao Li
Online Learning to Rank for Content-Based Image Retrieval. IJCAI (2015)
Dayong Wang, Pengcheng Wu, Peilin Zhao, Yue Wu, Chunyan Miao, Steven C. H. Hoi
High-Dimensional Data Stream Classification via Sparse Online Learning. ICDM (2014)
Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C. H. Hoi
Learning Relative Similarity by Stochastic Dual Coordinate Ascent. AAAI (2014)
Ji Wan, Dayong Wang, Steven Chu-Hong Hoi, Pengcheng Wu, Jianke Zhu, Yongdong Zhang, Jintao Li
Deep Learning for Content-Based Image Retrieval: A Comprehensive Study. ACM Multimedia (2014)
Hao Xia, Pengcheng Wu, Steven C. H. Hoi
Online multi-modal distance learning for scalable multimedia retrieval. WSDM (2013)
Dayong Wang, Steven C. H. Hoi, Pengcheng Wu, Jianke Zhu, Ying He, Chunyan Miao
Learning to name faces: a multimodal learning scheme for search-based face annotation. SIGIR (2013)
Pengcheng Wu, Steven C. H. Hoi, Hao Xia, Peilin Zhao, Dayong Wang, Chunyan Miao
Online multimodal deep similarity learning with application to image retrieval. ACM Multimedia (2013)
Peilin Zhao, Jialei Wang, Pengcheng Wu, Rong Jin, Steven C. H. Hoi
Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning CoRR (2012)
Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval. SIGIR (2012)
Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin, Pengcheng Wu
Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning. ICML (2012)
Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Ying He
Mining social images with distance metric learning for automated image tagging. WSDM (2011)
Steven C. H. Hoi, Pengcheng Wu
SIRE: a social image retrieval engine. ACM Multimedia (2011)
Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Ying He
Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval. MMM (2) (2011)
Shuhong Zhang, Jianxun Sun, Pengcheng Wu
Research on the Fuzzy Quantitative Association Rules Mining Algorithm and Its Simulation. FSKD (2) (2007)
Pengcheng Wu, Karl J. Lieberherr
Shadow Programming: Reasoning About Programs Using Lexical Join Point Information. GPCE (2005)
Pengcheng Wu, Thomas G. Dietterich
Improving SVM accuracy by training on auxiliary data sources. ICML (2004)
Karl J. Lieberherr, David H. Lorenz, Pengcheng Wu
A case for statically executable advice: checking the law of demeter with AspectJ. AOSD (2003)