Zhengwei Wu

55 papers A* 11A 5B 1C 1Misc 4Journal 19Unranked 14
YearRankTypeTitle / Venue / Authors
2025 A* conf
Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts.
AAAI
Gong-Duo Zhang, Ruiqing Chen, Qian Zhao, Zhengwei Wu, Fengyu Han, Huan-Yi Su, Ziqi Liu, Lihong Gu, Lin Zhou
2025 A conf
Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data.
WSDM
Binbin Hu, Zhicheng An, Zhengwei Wu, Ke Tu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Yufei Feng, Jiawei Chen
2025 J jnl
Less is More: Information Bottleneck Denoised Multimedia Recommendation.
CoRR
Yonghui Yang, Le Wu, Zhuangzhuang He, Zhengwei Wu, Richang Hong, Meng Wang
2025 J jnl
Thermal Transport Measurement in Photothermal Graphene Nanomechanical Resonator.
IEEE Trans. Instrum. Meas.
Zhen Wan, Cheng Li, Yang Liu, Zhengwei Wu, Shangchun Fan
2024 — conf
Adaptively Denoising Graph Neural Networks for Knowledge Distillation.
ECML/PKDD (8)
Yuxin Guo, Cheng Yang, Chuan Shi, Ke Tu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
2024 A* conf
DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation.
KDD
Zhicheng An, Zhexu Gu, Li Yu, Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Lihong Gu, Jinjie Gu
2024 A* conf
Enhancing Pre-Ranking Performance: Tackling Intermediary Challenges in Multi-Stage Cascading Recommendation Systems.
KDD
Jianping Wei, Yujie Zhou, Zhengwei Wu, Ziqi Liu
2024 J jnl
Feature selection with clustering probabilistic particle swarm optimization.
Int. J. Mach. Learn. Cybern.
Jinrui Gao, Ziqian Wang, Zhenyu Lei, Ronglong Wang, Zhengwei Wu, Shangce Gao
2024 J jnl
Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data.
CoRR
Binbin Hu, Zhicheng An, Zhengwei Wu, Ke Tu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Yufei Feng, Jiawei Chen
2024 A* conf
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation.
WWW
Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
2024 J jnl
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation.
CoRR
Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
2024 J jnl
Spherical search algorithm with memory-guided population stage-wise control for bound-constrained global optimization problems.
Appl. Soft Comput.
Sichen Tao, Kaiyu Wang, Ting Jin, Zhengwei Wu, Zhenyu Lei, Shangce Gao
2024 A conf
To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation.
CIKM
Zhigang Huangfu, Binbin Hu, Zhengwei Wu, Fengyu Han, Gong-Duo Zhang, Lihong Gu, Zhiqiang Zhang
2023 — conf
A Scalable Social Recommendation Framework with Decoupled Graph Neural Network.
DASFAA (4)
Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou
2023 — conf
Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation.
ECML/PKDD (3)
Shaowei Wei, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
2023 A conf
Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation.
CIKM
Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang
2023 J jnl
Generative Contrastive Graph Learning for Recommendation.
CoRR
Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023 A* conf
Generative-Contrastive Graph Learning for Recommendation.
SIGIR
Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023 — conf
Long-Tail Augmented Graph Contrastive Learning for Recommendation.
ECML/PKDD (4)
Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
2023 J jnl
Long-tail Augmented Graph Contrastive Learning for Recommendation.
CoRR
Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
2022 A* conf
A Graph Learning Based Framework for Billion-Scale Offline User Identification.
KDD
Daixin Wang, Zujian Weng, Zhengwei Wu, Zhiqiang Zhang, Peng Cui, Hongwei Zhao, Jun Zhou
2022 — conf
A Multi-Task Learning Approach for Delayed Feedback Modeling.
WWW (Companion Volume)
Zhigang Huangfu, Gongduo Zhang, Zhengwei Wu, Qintong Wu, Zhiqiang Zhang, Lihong Gu, Jun Zhou, Jinjie Gu
2022 J jnl
Dark-channel based attention and classifier retraining for smoke detection in foggy environments.
Digit. Signal Process.
Xiaoli Gong, Hangyu Hu, Zhengwei Wu, Lijun He, Le Yang, Fan Li
2022 A conf
FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation.
CIKM
Hao Qian, Qintong Wu, Minghao Li, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
2022 A* conf
MERIT: Learning Multi-level Representations on Temporal Graphs.
IJCAI
Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen
2021 — conf
Dark-Channel Mixed Attention Based Neural Networks for Smoke Detection in Fog Environment.
UbiComp/ISWC Adjunct
Le Yang, Xiaoli Gong, Zhengwei Wu, Yizeng Han, Lijun He, Fan Li
2021 — conf
Design of a novel closed-loop electrostatic voltage sensor based on weakly coupled resonators.
NEMS
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
2021 A* conf
Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing.
AAAI
Li Yu, Zhengwei Wu, Tianchi Cai, Ziqi Liu, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu
2020 — conf
A generative simulation platform for multi-agent systems with incentives.
UbiComp/ISWC Adjunct
Zhengwei Wu, Xiaoxi Zhang, Susu Xu, Xinlei Chen, Pei Zhang, Hae Young Noh, Carlee Joe-Wong
2020 A* conf
Bandit Samplers for Training Graph Neural Networks.
NeurIPS
Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi
2020 J jnl
Bandit Samplers for Training Graph Neural Networks.
CoRR
Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi
2020 A* conf
Hubble: An Industrial System for Audience Expansion in Mobile Marketing.
KDD
Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi
2019 B conf
Belief dynamics extraction.
CogSci
Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater
2019 J jnl
Belief dynamics extraction.
CoRR
Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater
2019 J jnl
GeaBase: a high-performance distributed graph database for industry-scale applications.
Int. J. High Perform. Comput. Netw.
Zhisong Fu, Zhengwei Wu, Houyi Li, Yize Li, Min Wu, Xiaojie Chen, Xiaomeng Ye, Benquan Yu, Xi Hu
2018 J jnl
Inverse POMDP: Inferring What You Think from What You Do.
CoRR
Zhengwei Wu, Paul R. Schrater, Xaq Pitkow
2017 C conf
An embedded 6-axis sensor based recognition for tennis stroke.
ICCE
Weiping Pei, Jun Wang, Xubin Xu, Zhengwei Wu, Xiaorong Du
2017 — conf
GeaBase: A High-Performance Distributed Graph Database for Industry-Scale Applications.
CBD
Zhisong Fu, Zhengwei Wu, Houyi Li, Yize Li, Min Wu, Xiaojie Chen, Xiaomeng Ye, Benquan Yu, Xi Hu
2017 J jnl
Measuring economic activity in China with mobile big data.
EPJ Data Sci.
Lei Dong, Sicong Chen, Yunsheng Cheng, Zhengwei Wu, Chao Li, Haishan Wu
2017 — conf
Risk index assessment for urban natural gas pipeline leakage based on artificial neural network.
ICNC-FSKD
Yang Zhou, Zhengwei Wu
2016 A* conf
Automatic user identification method across heterogeneous mobility data sources.
ICDE
Wei Cao, Zhengwei Wu, Dong Wang, Jian Li, Haishan Wu
2016 Misc conf
Computationally efficient Toeplitz-constrained blind equalization based on independence.
CISS
Zhengwei Wu, Saleem A. Kassam
2016 — conf
Demand driven store site selection via multiple spatial-temporal data.
SIGSPATIAL/GIS
Mengwen Xu, Tianyi Wang, Zhengwei Wu, Jingbo Zhou, Jian Li, Haishan Wu
2016 J jnl
Measuring Economic Activities of China with Mobile Big Data.
CoRR
Lei Dong, Sicong Chen, Yunsheng Cheng, Zhengwei Wu, Chao Li, Haishan Wu
2016 Misc conf
Relative-gradient Bussgang-type blind equalization algorithms.
ICASSP
Zhengwei Wu, Saleem A. Kassam, Visa Koivunen
2016 J jnl
Store Location Selection via Mining Search Query Logs of Baidu Maps.
CoRR
Mengwen Xu, Tianyi Wang, Zhengwei Wu, Jingbo Zhou, Jian Li, Haishan Wu
2015 Misc conf
Symbol-rate blind equalization based on constrained blind separation.
CISS
Zhengwei Wu, Saleem A. Kassam
2014 Misc conf
Blind equalization based on blind separation with Toeplitz constraint.
ACSSC
Zhengwei Wu, Saleem A. Kassam, Kaipeng Li
2014 A conf
Laplacian Spectral Properties of Graphs from Random Local Samples.
SDM
Zhengwei Wu, Victor M. Preciado
2013 J jnl
Laplacian Spectral Properties of Graphs from Random Local Samples.
CoRR
Zhengwei Wu, Victor M. Preciado
2012 J jnl
Equivalent Circuit Derivation and Performance Analysis of a Single-Sided Linear Induction Motor Based on the Winding Function Theory.
IEEE Trans. Veh. Technol.
Wei Xu, Guangyong Sun, Guilin Wen, Zhengwei Wu, Paul K. Chu
2012 — conf
Miniature pyranometer with asteroid shape thermopile.
NEMS
Jiangang Zhang, Zhengwei Wu, Zhan Zhao, Xin Guan
2011 — conf
Cooperative Spectrum Allocation for Cognitive Radio Network: An Evolutionary Approach.
ICC
Zhengwei Wu, Peng Cheng, Xinbing Wang, Xiaoying Gan, Hui Yu, Hailong Wang
2009 J jnl
An Electromagnetically Excited Silicon Nitride Beam Resonant Accelerometer.
Sensors
Deyong Chen, Zhengwei Wu, Lei Liu, Xiaojing Shi, Junbo Wang
2009 — conf
Design and modeling of an electromagnetically excited silicon nitride beam resonant pressure sensor.
NEMS
Deyong Chen, Zhengwei Wu, Xiaojing Shi, Junbo Wang, Lei Liu