Zhengwei Wu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 39

Top Topics

Computationally Efficient

Blind Equalization

Search Query Logs

Top Venues

UbiComp/ISWC Adjunct

Publications

Sichen Tao, Kaiyu Wang, Ting Jin, Zhengwei Wu, Zhenyu Lei, Shangce Gao
Spherical search algorithm with memory-guided population stage-wise control for bound-constrained global optimization problems. Appl. Soft Comput. 161 (2024)
Jianping Wei, Yujie Zhou, Zhengwei Wu, Ziqi Liu
Enhancing Pre-Ranking Performance: Tackling Intermediary Challenges in Multi-Stage Cascading Recommendation Systems. KDD (2024)
Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation. CoRR (2024)
Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation. WWW (2024)
Zhicheng An, Zhexu Gu, Li Yu, Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Lihong Gu, Jinjie Gu
DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation. KDD (2024)
Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
Generative Contrastive Graph Learning for Recommendation. CoRR (2023)
Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang
Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. CIKM (2023)
Shaowei Wei, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation. ECML/PKDD (3) (2023)
Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
Long-tail Augmented Graph Contrastive Learning for Recommendation. CoRR (2023)
Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
Generative-Contrastive Graph Learning for Recommendation. SIGIR (2023)
Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou
A Scalable Social Recommendation Framework with Decoupled Graph Neural Network. DASFAA (4) (2023)
Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
Long-Tail Augmented Graph Contrastive Learning for Recommendation. ECML/PKDD (4) (2023)
Hao Qian, Qintong Wu, Minghao Li, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation. CIKM (2022)
Zhigang Huangfu, Gongduo Zhang, Zhengwei Wu, Qintong Wu, Zhiqiang Zhang, Lihong Gu, Jun Zhou, Jinjie Gu
A Multi-Task Learning Approach for Delayed Feedback Modeling. WWW (Companion Volume) (2022)
Xiaoli Gong, Hangyu Hu, Zhengwei Wu, Lijun He, Le Yang, Fan Li
Dark-channel based attention and classifier retraining for smoke detection in foggy environments. Digit. Signal Process. 123 (2022)
Daixin Wang, Zujian Weng, Zhengwei Wu, Zhiqiang Zhang, Peng Cui, Hongwei Zhao, Jun Zhou
A Graph Learning Based Framework for Billion-Scale Offline User Identification. KDD (2022)
Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen
MERIT: Learning Multi-level Representations on Temporal Graphs. IJCAI (2022)
Li Yu, Zhengwei Wu, Tianchi Cai, Ziqi Liu, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu
Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing. AAAI (2021)
Le Yang, Xiaoli Gong, Zhengwei Wu, Yizeng Han, Lijun He, Fan Li
Dark-Channel Mixed Attention Based Neural Networks for Smoke Detection in Fog Environment. UbiComp/ISWC Adjunct (2021)
Zilong Wang, Zhengwei Wu, Xiangming Liu, Yahao Gao, Simin Peng, Ren Ren, Fengjie Zheng, Yao Lv, Jun Liu, Hucheng Lei, Zhouwei Zhang, Wei Zhang, Jiachen Li, Chunrong Peng
Design of a novel closed-loop electrostatic voltage sensor based on weakly coupled resonators. NEMS (2021)
Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi
Hubble: An Industrial System for Audience Expansion in Mobile Marketing. KDD (2020)
Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi
Bandit Samplers for Training Graph Neural Networks. NeurIPS (2020)
Zhengwei Wu, Xiaoxi Zhang, Susu Xu, Xinlei Chen, Pei Zhang, Hae Young Noh, Carlee Joe-Wong
A generative simulation platform for multi-agent systems with incentives. UbiComp/ISWC Adjunct (2020)
Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi
Bandit Samplers for Training Graph Neural Networks. CoRR (2020)
Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater
Belief dynamics extraction. CogSci (2019)
Zhisong Fu, Zhengwei Wu, Houyi Li, Yize Li, Min Wu, Xiaojie Chen, Xiaomeng Ye, Benquan Yu, Xi Hu
GeaBase: a high-performance distributed graph database for industry-scale applications. Int. J. High Perform. Comput. Netw. 15 (1/2) (2019)
Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater
Belief dynamics extraction. CoRR (2019)
Zhengwei Wu, Paul R. Schrater, Xaq Pitkow
Inverse POMDP: Inferring What You Think from What You Do. CoRR (2018)
Weiping Pei, Jun Wang, Xubin Xu, Zhengwei Wu, Xiaorong Du
An embedded 6-axis sensor based recognition for tennis stroke. ICCE (2017)
Yang Zhou, Zhengwei Wu
Risk index assessment for urban natural gas pipeline leakage based on artificial neural network. ICNC-FSKD (2017)
Lei Dong, Sicong Chen, Yunsheng Cheng, Zhengwei Wu, Chao Li, Haishan Wu
Measuring economic activity in China with mobile big data. EPJ Data Sci. 6 (1) (2017)
Zhisong Fu, Zhengwei Wu, Houyi Li, Yize Li, Min Wu, Xiaojie Chen, Xiaomeng Ye, Benquan Yu, Xi Hu
GeaBase: A High-Performance Distributed Graph Database for Industry-Scale Applications. CBD (2017)
Mengwen Xu, Tianyi Wang, Zhengwei Wu, Jingbo Zhou, Jian Li, Haishan Wu
Store Location Selection via Mining Search Query Logs of Baidu Maps. CoRR (2016)
Lei Dong, Sicong Chen, Yunsheng Cheng, Zhengwei Wu, Chao Li, Haishan Wu
Measuring Economic Activities of China with Mobile Big Data. CoRR (2016)
Zhengwei Wu, Saleem A. Kassam
Computationally efficient Toeplitz-constrained blind equalization based on independence. CISS (2016)
Zhengwei Wu, Saleem A. Kassam, Visa Koivunen
Relative-gradient Bussgang-type blind equalization algorithms. ICASSP (2016)
Wei Cao, Zhengwei Wu, Dong Wang, Jian Li, Haishan Wu
Automatic user identification method across heterogeneous mobility data sources. ICDE (2016)
Mengwen Xu, Tianyi Wang, Zhengwei Wu, Jingbo Zhou, Jian Li, Haishan Wu
Demand driven store site selection via multiple spatial-temporal data. SIGSPATIAL/GIS (2016)
Zhengwei Wu, Saleem A. Kassam
Symbol-rate blind equalization based on constrained blind separation. CISS (2015)
Zhengwei Wu, Saleem A. Kassam, Kaipeng Li
Blind equalization based on blind separation with Toeplitz constraint. ACSSC (2014)
Zhengwei Wu, Victor M. Preciado
Laplacian Spectral Properties of Graphs from Random Local Samples. SDM (2014)
Zhengwei Wu, Victor M. Preciado
Laplacian Spectral Properties of Graphs from Random Local Samples. CoRR (2013)
Wei Xu, Guangyong Sun, Guilin Wen, Zhengwei Wu, Paul K. Chu
Equivalent Circuit Derivation and Performance Analysis of a Single-Sided Linear Induction Motor Based on the Winding Function Theory. IEEE Trans. Veh. Technol. 61 (4) (2012)
Jiangang Zhang, Zhengwei Wu, Zhan Zhao, Xin Guan
Miniature pyranometer with asteroid shape thermopile. NEMS (2012)
Zhengwei Wu, Peng Cheng, Xinbing Wang, Xiaoying Gan, Hui Yu, Hailong Wang
Cooperative Spectrum Allocation for Cognitive Radio Network: An Evolutionary Approach. ICC (2011)
Deyong Chen, Zhengwei Wu, Lei Liu, Xiaojing Shi, Junbo Wang
An Electromagnetically Excited Silicon Nitride Beam Resonant Accelerometer. Sensors 9 (3) (2009)
Deyong Chen, Zhengwei Wu, Xiaojing Shi, Junbo Wang, Lei Liu
Design and modeling of an electromagnetically excited silicon nitride beam resonant pressure sensor. NEMS (2009)