Pengcheng Wu

112 papers A* 19A 3B 8C 1Misc 1Journal 67Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
An intelligent energy management method for the manufacturing systems using the knowledge graph and large language model.
J. Intell. Manuf.
Pengcheng Wu, Haobei Tu, Xun Mou, Leihao Gong
2026 J jnl
Evolutionary reinforcement learning for explainable recommendation on knowledge graph.
Appl. Soft Comput.
Yuanguo Lin, Hong Chen, Xiuze Zhou, Wei Zhang, Huanyu You, Fan Lin, Pengcheng Wu
2026 J jnl
Gaussian embedding metric learning for few-shot knowledge graph completion.
Knowl. Based Syst.
Kunli Zhang, Mingyu Gui, Pengcheng Wu, Yu Song, Hongying Zan, Dezhi Kong
2026 J jnl
IESR:Efficient MCTS-Based Modular Reasoning for Text-to-SQL with Large Language Models.
CoRR
Tao Liu, Jiafan Lu, Bohan Yu, Pengcheng Wu, Haixin Liu, Guoyu Xu, Li Xiangheng, Lixiao Li, Jiaming Hou, Zhao Shijun, Xinglin Lyu, Kunli Zhang, Yuxiang Jia, Hongying Zan
2026 A conf
Sharpness-aware Federated Graph Learning.
WSDM
Ruiyu Li, Peige Zhao, Guangxia Li, Pengcheng Wu, Xingyu Gao, Zhiqiang Xu
2025 J jnl
A Survey on Privacy Risks and Protection in Large Language Models.
CoRR
Kang Chen, Xiuze Zhou, Yuanguo Lin, Shibo Feng, Li Shen, Pengcheng Wu
2025 J jnl
A survey on privacy risks and protection in large language models.
J. King Saud Univ. Comput. Inf. Sci.
Kang Chen, Xiuze Zhou, Yuanguo Lin, Shibo Feng, Li Shen, Pengcheng Wu
2025 A* conf
Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models.
EMNLP
Zhifei Xie, Mingbao Lin, Zihang Liu, Pengcheng Wu, Shuicheng Yan, Chunyan Miao
2025 J jnl
Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models.
CoRR
Zhifei Xie, Mingbao Lin, Zihang Liu, Pengcheng Wu, Shuicheng Yan, Chunyan Miao
2025 J jnl
C4D-YOLOv8: improved YOLOv8 for object detection on drone-captured images.
Signal Image Video Process.
Weihui Zeng, Pengcheng Wu, Junyan Wang, Gensheng Hu, Jinling Zhao
2025 B conf
CaDRL: Document-level Relation Extraction via Context-aware Differentiable Rule Learning.
COLING
Kunli Zhang, Pengcheng Wu, Bohan Yu, Kejun Wu, Aoze Zheng, Xiyang Huang, Chenkang Zhu, Min Peng, Hongying Zan, Yu Song
2025 J jnl
Clip4Vis: Parameter-free fusion for multimodal video recognition.
Neurocomputing
Qishi Zheng, Mengnan He, Jiuqin Duan, Gai Luo, Pengcheng Wu, Yimin Han, Qingyue Min, Peng Chen, Ping Zhang
2025 B conf
CmEAA: Cross-modal Enhancement and Alignment Adapter for Radiology Report Generation.
COLING
Xiyang Huang, Yingjie Han, Yaoxu Li, Runzhi Li, Pengcheng Wu, Kunli Zhang
2025 — conf
Comprehensive Argument Mining for Chinese Argumentative Essays Using Large Language Models.
NLPCC (4)
Yu Song, Bohan Yu, Aoze Zheng, Pengcheng Wu, Tao Liu, Xia Liu, Hongying Zan, Kunli Zhang
2025 J jnl
Continual Optimization with Symmetry Teleportation for Multi-Task Learning.
CoRR
Zhipeng Zhou, Ziqiao Meng, Pengcheng Wu, Peilin Zhao, Chunyan Miao
2025 A* conf
Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity.
ICML
Wanjin Feng, Xingyu Gao, Wenqian Du, Hailong Shi, Peilin Zhao, Pengcheng Wu, Chunyan Miao
2025 J jnl
Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity.
CoRR
Wanjin Feng, Xingyu Gao, Wenqian Du, Hailong Shi, Peilin Zhao, Pengcheng Wu, Chunyan Miao
2025 J jnl
Exploring New Paradigms in Time Series Prediction by Integrating Computer Simulations and Machine Learning.
IEEE Access
Pengcheng Wu, Yan Shi, Pengfei Zhao, Zhengzhao Gu
2025 J jnl
Fine-Tuned Convex Approximations of Probabilistic Reachable Sets Under Data-Driven Uncertainties.
IEEE Trans Autom. Sci. Eng.
Pengcheng Wu, Sonia Martínez, Jun Chen
2025 A* conf
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting.
AAAI
Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen
2025 J jnl
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting.
CoRR
Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen
2025 C conf
Knowledge Graph-Based Process Planning for CAD Models.
SoMeT
Chenze Li, Yingjie Wu, Min Zhu, Pengcheng Wu, Pan Hu, Hongming Cai
2025 J jnl
Laplacian Analysis Meets Dynamics Modelling: Gaussian Splatting for 4D Reconstruction.
CoRR
Yifan Zhou, Beizhen Zhao, Pengcheng Wu, Hao Wang
2025 — conf
Logical Rule-Constrained Large Language Models for Document-Level Relation Extraction.
NLPCC (1)
Kunli Zhang, Pengcheng Wu, Bohan Yu, Yunlong Li, Dezhi Kong, Hongying Zan, Min Peng, Yu Song
2025 B conf
MBANet: A Multi-Branch Deep Learning Model for Giant Panda Age Estimation.
IJCNN
Xiuwei Yang, Han Su, Rui Xiong, Mengnan He, Yimin Han, Gai Luo, Pengcheng Wu, Qingyue Min, Rong Hou, Peng Chen
2025 A* conf
NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction.
ICML
Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao
2025 J jnl
NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction.
CoRR
Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao
2025 J jnl
Physics-aware parameter diffusion for spatio-temporal continuum field modeling for governance.
Neurocomputing
An Zhang, Sheng Chen, Pengcheng Wu, Chao Wu, Hao Wu, Fan Xu, Kun Wang
2025 J jnl
Relative Well-Posedness of Truncated Constrained Systems Accompanied by Variational Calculus.
SIAM J. Optim.
Boris S. Mordukhovich, Pengcheng Wu, Xiaoqi Yang
2025 A* conf
Self-Bootstrapping for Versatile Test-Time Adaptation.
ICML
Shuaicheng Niu, Guohao Chen, Peilin Zhao, Tianyi Wang, Pengcheng Wu, Zhiqi Shen
2025 J jnl
Self-Bootstrapping for Versatile Test-Time Adaptation.
CoRR
Shuaicheng Niu, Guohao Chen, Peilin Zhao, Tianyi Wang, Pengcheng Wu, Zhiqi Shen
2025 J jnl
Sharpness-aware Federated Graph Learning.
CoRR
Ruiyu Li, Peige Zhao, Guangxia Li, Pengcheng Wu, Xingyu Gao, Zhiqiang Xu
2025 J jnl
UniMRE: a unified framework for zero-shot medicial relation extraction with large language models.
Health Inf. Sci. Syst.
Yunlong Li, Pengcheng Wu, Aoze Zheng, Yuting Li, Hongying Zan, Kunli Zhang
2025 — conf
Vehicle-Level Safety Validation of AD/ADAS Systems via Extreme Value Analysis.
SAFECOMP (Workshops)
Pengcheng Wu, Sadegh Rahrovani, Zhennan Fei, Derong Yang, Stina Carlsson, Martin Törngren
2025 B conf
Vocalization-based Fine-grained Prediction of Giant Panda Ovulation Time.
IJCNN
Jinlong Tang, Qijun Zhao, Peng Chen, Rong Hou, Tie Liu, Fan Pan, Wei Sun, Mengnan He, Pengcheng Wu
2025 J jnl
WaMo: Wavelet-Enhanced Multi-Frequency Trajectory Analysis for Fine-Grained Text-Motion Retrieval.
CoRR
Junlong Ren, Gangjian Zhang, Honghao Fu, Pengcheng Wu, Hao Wang
2025 J jnl
ZeroSiam: An Efficient Siamese for Test-Time Entropy Optimization without Collapse.
CoRR
Guohao Chen, Shuaicheng Niu, Deyu Chen, Jiahao Yang, Zitian Zhang, Mingkui Tan, Pengcheng Wu, Zhiqi Shen
2024 J jnl
A Survey on Reinforcement Learning for Recommender Systems.
IEEE Trans. Neural Networks Learn. Syst.
Yuanguo Lin, Yong Liu, Fan Lin, Lixin Zou, Pengcheng Wu, Wenhua Zeng, Huanhuan Chen, Chunyan Miao
2024 — conf
Accurate and Explainable Cataract Detection Using Eye Images Taken by Hand-held Slit-lamp Cameras.
CAI
Daniel Kai Xiang Fung, Di Wang, Hao Wang, Yongwei Wang, Pengcheng Wu, Yan Yee Hah, Chee Chew Yip, Wee Jin Heng, Tock Han Lim, Cyril Leung, Chunyan Miao
2024 B conf
Age Estimation of Giant Pandas Based on Narrowed Window Ordered Regression.
IJCNN
Zihao Zhang, Han Su, Rong Hou, Pengcheng Wu, Ping Xu, Peng Chen
2024 B conf
Cross-Angle Facial Individual Verification of Giant Panda.
SMC
Jiawei Wu, Han Su, Peng Min, Mengnan He, Pengcheng Wu, Gai Luo, Rong Hou, Peng Chen
2024 J jnl
Data-Driven Polytopic Approximation for an $n$-Dimensional Probabilistic Reachable Set.
IEEE Trans. Ind. Informatics
Pengcheng Wu, Jun Chen
2024 J jnl
Data-driven zonotopic approximation for n-dimensional probabilistic geofencing.
Reliab. Eng. Syst. Saf.
Pengcheng Wu, Jun Chen
2024 J jnl
Deep learning for multi-type infectious keratitis diagnosis: A nationwide, cross-sectional, multicenter study.
npj Digit. Medicine
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
2024 J jnl
Efficient Box Approximation for Data-Driven Probabilistic Geofencing.
Unmanned Syst.
Pengcheng Wu, Jun Chen
2024 J jnl
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions.
CoRR
Yuanguo Lin, Fan Lin, Guorong Cai, Hong Chen, Lixin Zou, Pengcheng Wu
2024 J jnl
GATiT: An Intelligent Diagnosis Model Based on Graph Attention Network Incorporating Text Representation in Knowledge Reasoning.
Comput. Mater. Continua
Yu Song, Pengcheng Wu, Dongming Dai, Mingyu Gui, Kunli Zhang
2024 J jnl
Knowledge-aware reasoning with self-supervised reinforcement learning for explainable recommendation in MOOCs.
Neural Comput. Appl.
Yuanguo Lin, Wei Zhang, Fan Lin, Wenhua Zeng, Xiuze Zhou, Pengcheng Wu
2024 J jnl
Multi-Scale Attention Flow for Probabilistic Time Series Forecasting.
IEEE Trans. Knowl. Data Eng.
Shibo Feng, Chunyan Miao, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Yang Zhang, Peilin Zhao
2024 J jnl
Recent Advances in Electrically Driven Soft Actuators across Dimensional Scales from 2D to 3D.
Adv. Intell. Syst.
Dengfeng Li, Jian Li, Pengcheng Wu, Guangyao Zhao, Qing'Ao Qu, Xinge Yu
2024 A* conf
Test-Time Model Adaptation with Only Forward Passes.
ICML
Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao
2024 J jnl
Test-Time Model Adaptation with Only Forward Passes.
CoRR
Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao
2024 J jnl
Timeliness Analysis for Real-Time Updates Across Different Service Time.
IEEE Trans. Aerosp. Electron. Syst.
Limei Hu, Dapeng Deng, Feng Chen, Pengcheng Wu, Zhengchuan Chen
2023 J jnl
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining.
CoRR
Yuanguo Lin, Hong Chen, Wei Xia, Fan Lin, Pengcheng Wu, Zongyue Wang, Yong Li
2023 J jnl
A sentiment-enhanced hybrid model for crude oil price forecasting.
Expert Syst. Appl.
Yan Fang, Wenyan Wang, Pengcheng Wu, Yunfan Zhao
2023 J jnl
Convex Approximation for Probabilistic Reachable Set under Data-driven Uncertainties.
CoRR
Pengcheng Wu, Sonia Martínez, Jun Chen
2023 A* conf
Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout.
AAAI
Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu
2023 J jnl
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout.
CoRR
Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu
2023 A* conf
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning.
IJCAI
Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu
2023 J jnl
Research on Positioning Accuracy of Mobile Robot in Indoor Environment Based on Improved RTABMAP Algorithm.
Sensors
Shijie Zhou, ZeLun Li, Zhongliang Lv, Chuande Zhou, Pengcheng Wu, Changshuang Zhu, Wei Liu
2023 — conf
Research on the Structure of Pediatric Epilepsy Electronic Medical Records Based on Transfer Learning.
CLSW (2)
Yu Song, Pengcheng Wu, Dongming Dai, Kunli Zhang, Chenghao Zhang, Hengxing Zhang, Xiaomei Liu, Jie Li
2023 B conf
Video-based Red Panda Individual Identification by Adaptively Aggregating Discriminative Features.
IJCNN
Lei Li, Mengnan He, Pengcheng Wu, Peng Liu, Ke Huang, Fan Pan, Peng Chen, Qijun Zhao
2022 — conf
A High Reliability Sensing Amplifier for Hybrid MTJ/CMOS Circuits.
ICTA
Jiawei Fu, Pengcheng Wu, Hao Cai
2022 J jnl
Application of 3D Error Diagram in Thermal Infrared Earthquake Prediction: Qinghai-Tibet Plateau.
Remote. Sens.
Chengxiang Zhan, Qingyan Meng, Ying Zhang, Mona Allam, Pengcheng Wu, Linlin Zhang, Xian Lu
2022 J jnl
Bit-error-rate aware sensing-error correction interaction in spintronic MRAM.
J. Syst. Archit.
Hao Cai, Xinfang Tong, Pengcheng Wu, Xinning Liu, Bo Liu
2022 J jnl
Context-aware reinforcement learning for course recommendation.
Appl. Soft Comput.
Yuanguo Lin, Fan Lin, Lvqing Yang, Wenhua Zeng, Yong Liu, Pengcheng Wu
2022 J jnl
Existence of Pareto Solutions for Vector Polynomial Optimization Problems with Constraints.
J. Optim. Theory Appl.
Yarui Duan, Liguo Jiao, Pengcheng Wu, Yuying Zhou
2022 J jnl
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning.
CoRR
Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu
2022 J jnl
Federated low-rank tensor projections for sequential recommendation.
Knowl. Based Syst.
Li Li, Fan Lin, Jianbing Xiahou, Yuanguo Lin, Pengcheng Wu, Yong Liu
2022 J jnl
Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation.
Knowl. Based Syst.
Yuanguo Lin, Fan Lin, Wenhua Zeng, Jianbing Xiahou, Li Li, Pengcheng Wu, Yong Liu, Chunyan Miao
2022 — conf
Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation.
MICCAI (2)
Rui Xu, Jiaxin Zhao, Xinchen Ye, Pengcheng Wu, Zhihui Wang, Haojie Li, Yen-Wei Chen
2022 J jnl
Multi-scale Attention Flow for Probabilistic Time Series Forecasting.
CoRR
Shibo Feng, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Fan Lin, Peilin Zhao
2022 J jnl
Online Prediction of Cutting Temperature Using Self-Adaptive Local Learning and Dynamic CNN.
IEEE Trans. Ind. Informatics
Pengcheng Wu, Yan He, Yufeng Li, Yulin Wang, Shilong Wang
2022 Misc conf
Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions.
ICASSP
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
2022 J jnl
Safety Assured Online Guidance With Airborne Separation for Urban Air Mobility Operations in Uncertain Environments.
IEEE Trans. Intell. Transp. Syst.
Pengcheng Wu, Xuxi Yang, Peng Wei, Jun Chen
2022 J jnl
Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation.
Appl. Soft Comput.
Wei Zhang, Yuanguo Lin, Yong Liu, Huanyu You, Pengcheng Wu, Fan Lin, Xiuze Zhou
2021 — conf
3-Dimensional Logic Motion Sensing of Polyvinylidene Fluoride for Self-Powered Flexible Interactive Electronics.
RCAR
Pengcheng Wu, Zhenguo Yang, Guanglin Li, Yanlong Tai
2021 J jnl
A Survey on Reinforcement Learning for Recommender Systems.
CoRR
Yuanguo Lin, Yong Liu, Fan Lin, Pengcheng Wu, Wenhua Zeng, Chunyan Miao
2021 J jnl
Adaptive course recommendation in MOOCs.
Knowl. Based Syst.
Yuanguo Lin, Shibo Feng, Fan Lin, Wenhua Zeng, Yong Liu, Pengcheng Wu
2021 J jnl
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks.
CoRR
Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao
2021 A* conf
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks.
AAAI
Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao
2021 J jnl
Risk-bounded Path Planning for Urban Air Mobility Operations under Uncertainty.
CoRR
Pengcheng Wu, Junfei Xie, Yanchao Liu, Jun Chen
2020 J jnl
A Unified Framework for Sparse Online Learning.
ACM Trans. Knowl. Discov. Data
Peilin Zhao, Dayong Wang, Pengcheng Wu, Steven C. H. Hoi
2020 J jnl
An Optimal Control Problem Governed by a Kirchhoff-Type Variational Inequality.
J. Appl. Math.
Chengfu Wang, Pengcheng Wu, Yuying Zhou
2020 J jnl
Prerequisite Relation Learning for Course Concepts Based on Hyperbolic Deep Representation.
IEEE Access
Lu Liu, Fan Lin, Beizhan Wang, Kangkang Li, Meng Xiao, Jianbing Xiahou, Pengcheng Wu
2020 — conf
Safe Path Planning for Unmanned Aerial Vehicle under Location Uncertainty.
ICCA
Pengcheng Wu, Junfei Xie, Jun Chen
2019 J jnl
Experiment Investigation and Numerical Simulation of Snowdrift on a Typical Large-Span Retractable Roof.
Complex.
Zhenggang Cao, Mengmeng Liu, Pengcheng Wu
2018 J jnl
Biopanning data bank 2018: hugging next generation phage display.
Database J. Biol. Databases Curation
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
2018 J jnl
Face detection using deep learning: An improved faster RCNN approach.
Neurocomputing
Xudong Sun, Pengcheng Wu, Steven C. H. Hoi
2017 J jnl
Face Detection using Deep Learning: An Improved Faster RCNN Approach.
CoRR
Xudong Sun, Pengcheng Wu, Steven C. H. Hoi
2017 J jnl
HDIdx: High-dimensional indexing for efficient approximate nearest neighbor search.
Neurocomputing
Ji Wan, Sheng Tang, Yongdong Zhang, Jintao Li, Pengcheng Wu, Steven C. H. Hoi
2016 J jnl
Online Multi-Modal Distance Metric Learning with Application to Image Retrieval.
IEEE Trans. Knowl. Data Eng.
Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Chunyan Miao, Zhiyong Liu
2015 J jnl
A Framework of Sparse Online Learning and Its Applications.
CoRR
Dayong Wang, Pengcheng Wu, Peilin Zhao, Steven C. H. Hoi
2015 J jnl
HDIdx: High-Dimensional Indexing for Efficient Approximate Nearest Neighbor Search.
CoRR
Ji Wan, Sheng Tang, Yongdong Zhang, Jintao Li, Pengcheng Wu, Steven C. H. Hoi
2015 A* conf
Online Learning to Rank for Content-Based Image Retrieval.
IJCAI
Ji Wan, Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Xingyu Gao, Dayong Wang, Yongdong Zhang, Jintao Li
2014 A* conf
Deep Learning for Content-Based Image Retrieval: A Comprehensive Study.
ACM Multimedia
Ji Wan, Dayong Wang, Steven Chu-Hong Hoi, Pengcheng Wu, Jianke Zhu, Yongdong Zhang, Jintao Li
2014 — —
Distance metric learning for multi-modal image retrieval and annotation
Pengcheng Wu
2014 A* conf
High-Dimensional Data Stream Classification via Sparse Online Learning.
ICDM
Dayong Wang, Pengcheng Wu, Peilin Zhao, Yue Wu, Chunyan Miao, Steven C. H. Hoi
2014 A* conf
Learning Relative Similarity by Stochastic Dual Coordinate Ascent.
AAAI
Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C. H. Hoi
2013 A* conf
Learning to name faces: a multimodal learning scheme for search-based face annotation.
SIGIR
Dayong Wang, Steven C. H. Hoi, Pengcheng Wu, Jianke Zhu, Ying He, Chunyan Miao
2013 A conf
Online multi-modal distance learning for scalable multimedia retrieval.
WSDM
Hao Xia, Pengcheng Wu, Steven C. H. Hoi
2013 A* conf
Online multimodal deep similarity learning with application to image retrieval.
ACM Multimedia
Pengcheng Wu, Steven C. H. Hoi, Hao Xia, Peilin Zhao, Dayong Wang, Chunyan Miao
2012 A* conf
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval.
SIGIR
Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin
2012 J jnl
Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning
CoRR
Peilin Zhao, Jialei Wang, Pengcheng Wu, Rong Jin, Steven C. H. Hoi
2012 A* conf
Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning.
ICML
Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin, Pengcheng Wu
2011 A conf
Mining social images with distance metric learning for automated image tagging.
WSDM
Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Ying He
2011 — conf
Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval.
MMM (2)
Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Ying He
2011 A* conf
SIRE: a social image retrieval engine.
ACM Multimedia
Steven C. H. Hoi, Pengcheng Wu
2007 — conf
Research on the Fuzzy Quantitative Association Rules Mining Algorithm and Its Simulation.
FSKD (2)
Shuhong Zhang, Jianxun Sun, Pengcheng Wu
2005 B conf
Shadow Programming: Reasoning About Programs Using Lexical Join Point Information.
GPCE
Pengcheng Wu, Karl J. Lieberherr
2004 A* conf
Improving SVM accuracy by training on auxiliary data sources.
ICML
Pengcheng Wu, Thomas G. Dietterich
2003 — conf
A case for statically executable advice: checking the law of demeter with AspectJ.
AOSD
Karl J. Lieberherr, David H. Lorenz, Pengcheng Wu