Zhengwei Wu

According to our database, Zhengwei Wu authored at least 43 papers between 2009 and 2024.

Collaborative distances:

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

2024

Feature selection with clustering probabilistic particle swarm optimization.

Jinrui Gao, Ziqian Wang, Zhenyu Lei, Ronglong Wang, Zhengwei Wu, Shangce Gao

Int. J. Mach. Learn. Cybern., September, 2024

Spherical search algorithm with memory-guided population stage-wise control for bound-constrained global optimization problems.

Sichen Tao, Kaiyu Wang, Ting Jin, Zhengwei Wu, Zhenyu Lei, Shangce Gao

Appl. Soft Comput., 2024

Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation.

Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu

Proceedings of the ACM on Web Conference 2024, 2024

Adaptively Denoising Graph Neural Networks for Knowledge Distillation.

Yuxin Guo, Cheng Yang, Chuan Shi, Ke Tu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

Enhancing Pre-Ranking Performance: Tackling Intermediary Challenges in Multi-Stage Cascading Recommendation Systems.

Jianping Wei, Yujie Zhou, Zhengwei Wu, Ziqi Liu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation.

Zhicheng An, Zhexu Gu, Li Yu, Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Lihong Gu, Jinjie Gu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation.

Zhigang Huangfu, Binbin Hu, Zhengwei Wu, Fengyu Han, Gong-Duo Zhang, Lihong Gu, Zhiqiang Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Generative-Contrastive Graph Learning for Recommendation.

Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Long-Tail Augmented Graph Contrastive Learning for Recommendation.

Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation.

Shaowei Wei, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

A Scalable Social Recommendation Framework with Decoupled Graph Neural Network.

Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou

Proceedings of the Database Systems for Advanced Applications, 2023

Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation.

Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Dark-channel based attention and classifier retraining for smoke detection in foggy environments.

Xiaoli Gong, Hangyu Hu, Zhengwei Wu, Lijun He, Le Yang, Fan Li

Digit. Signal Process., 2022

A Multi-Task Learning Approach for Delayed Feedback Modeling.

Zhigang Huangfu, Gongduo Zhang, Zhengwei Wu, Qintong Wu, Zhiqiang Zhang, Lihong Gu, Jun Zhou, Jinjie Gu

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

A Graph Learning Based Framework for Billion-Scale Offline User Identification.

Daixin Wang, Zujian Weng, Zhengwei Wu, Zhiqiang Zhang, Peng Cui, Hongwei Zhao, Jun Zhou

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

MERIT: Learning Multi-level Representations on Temporal Graphs.

Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation.

Hao Qian, Qintong Wu, Minghao Li, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Design of a novel closed-loop electrostatic voltage sensor based on weakly coupled resonators.

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

Proceedings of the 16th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2021

Dark-Channel Mixed Attention Based Neural Networks for Smoke Detection in Fog Environment.

Le Yang, Xiaoli Gong, Zhengwei Wu, Yizeng Han, Lijun He, Fan Li

Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing.

Li Yu, Zhengwei Wu, Tianchi Cai, Ziqi Liu, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Bandit Samplers for Training Graph Neural Networks.

Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hubble: An Industrial System for Audience Expansion in Mobile Marketing.

Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A generative simulation platform for multi-agent systems with incentives.

Zhengwei Wu, Xiaoxi Zhang, Susu Xu, Xinlei Chen, Pei Zhang, Hae Young Noh, Carlee Joe-Wong

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

2019

GeaBase: a high-performance distributed graph database for industry-scale applications.

Zhisong Fu, Zhengwei Wu, Houyi Li, Yize Li, Min Wu, Xiaojie Chen, Xiaomeng Ye, Benquan Yu, Xi Hu

Int. J. High Perform. Comput. Netw., 2019

Belief dynamics extraction.

Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Inverse POMDP: Inferring What You Think from What You Do.

Zhengwei Wu, Paul R. Schrater, Xaq Pitkow

CoRR, 2018

2017

Measuring economic activity in China with mobile big data.

Lei Dong, Sicong Chen, Yunsheng Cheng, Zhengwei Wu, Chao Li, Haishan Wu

EPJ Data Sci., 2017

Risk index assessment for urban natural gas pipeline leakage based on artificial neural network.

Yang Zhou, Zhengwei Wu

Proceedings of the 13th International Conference on Natural Computation, 2017

An embedded 6-axis sensor based recognition for tennis stroke.

Weiping Pei, Jun Wang, Xubin Xu, Zhengwei Wu, Xiaorong Du

Proceedings of the IEEE International Conference on Consumer Electronics, 2017

2016

Store Location Selection via Mining Search Query Logs of Baidu Maps.

Mengwen Xu, Tianyi Wang, Zhengwei Wu, Jingbo Zhou, Jian Li, Haishan Wu

CoRR, 2016

Measuring Economic Activities of China with Mobile Big Data.

Lei Dong, Sicong Chen, Yunsheng Cheng, Zhengwei Wu, Chao Li, Haishan Wu

CoRR, 2016

Automatic user identification method across heterogeneous mobility data sources.

Wei Cao, Zhengwei Wu, Dong Wang, Jian Li, Haishan Wu

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Relative-gradient Bussgang-type blind equalization algorithms.

Zhengwei Wu, Saleem A. Kassam, Visa Koivunen

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Demand driven store site selection via multiple spatial-temporal data.

Mengwen Xu, Tianyi Wang, Zhengwei Wu, Jingbo Zhou, Jian Li, Haishan Wu

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Computationally efficient Toeplitz-constrained blind equalization based on independence.

Zhengwei Wu, Saleem A. Kassam

Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

2015

Symbol-rate blind equalization based on constrained blind separation.

Zhengwei Wu, Saleem A. Kassam

Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

2014

Laplacian Spectral Properties of Graphs from Random Local Samples.

Zhengwei Wu, Victor M. Preciado

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Blind equalization based on blind separation with Toeplitz constraint.

Zhengwei Wu, Saleem A. Kassam, Kaipeng Li

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2012

Equivalent Circuit Derivation and Performance Analysis of a Single-Sided Linear Induction Motor Based on the Winding Function Theory.

Wei Xu, Guangyong Sun, Guilin Wen, Zhengwei Wu, Paul K. Chu

IEEE Trans. Veh. Technol., 2012

Miniature pyranometer with asteroid shape thermopile.

Jiangang Zhang, Zhengwei Wu, Zhan Zhao, Xin Guan

Proceedings of the 7th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2012

2011

Cooperative Spectrum Allocation for Cognitive Radio Network: An Evolutionary Approach.

Zhengwei Wu, Peng Cheng, Xinbing Wang, Xiaoying Gan, Hui Yu, Hailong Wang

Proceedings of IEEE International Conference on Communications, 2011

2009

An Electromagnetically Excited Silicon Nitride Beam Resonant Accelerometer.

Deyong Chen, Zhengwei Wu, Lei Liu, Xiaojing Shi, Junbo Wang

Sensors, 2009

Design and modeling of an electromagnetically excited silicon nitride beam resonant pressure sensor.

Deyong Chen, Zhengwei Wu, Xiaojing Shi, Junbo Wang, Lei Liu

Proceedings of the 4th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2009