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Zhengwei Wu
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2020 – today
- 2024
- [j7]Sichen Tao
, Kaiyu Wang, Ting Jin, Zhengwei Wu, Zhenyu Lei
Spherical search algorithm with memory-guided population stage-wise control for bound-constrained global optimization problems. Appl. Soft Comput. 161: 111677 (2024) - [j6]Jinrui Gao
Feature selection with clustering probabilistic particle swarm optimization. Int. J. Mach. Learn. Cybern. 15(9): 3599-3617 (2024) - [c33]Zhicheng An
DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation. KDD 2024: 4764-4773 - [c32]Jianping Wei
Enhancing Pre-Ranking Performance: Tackling Intermediary Challenges in Multi-Stage Cascading Recommendation Systems. KDD 2024: 5950-5958 - [c31]Yuxin Guo, Cheng Yang, Chuan Shi, Ke Tu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou:
Adaptively Denoising Graph Neural Networks for Knowledge Distillation. ECML/PKDD (8) 2024: 253-269 - [c30]Shaowei Wei
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation. WWW 2024: 3767-3776 - [i9]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 abs/2404.07219 (2024) - 2023
- [c29]Ke Tu
Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. CIKM 2023: 2482-2491 - [c28]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: 519-531 - [c27]Shaowei Wei, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou:
Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation. ECML/PKDD (3) 2023: 87-103 - [c26]Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou:
Long-Tail Augmented Graph Contrastive Learning for Recommendation. ECML/PKDD (4) 2023: 387-403 - [c25]Yonghui Yang
Generative-Contrastive Graph Learning for Recommendation. SIGIR 2023: 1117-1126 - [i8]Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Generative Contrastive Graph Learning for Recommendation. CoRR abs/2307.05100 (2023) - [i7]Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou:
Long-tail Augmented Graph Contrastive Learning for Recommendation. CoRR abs/2309.11177 (2023) - 2022
- [j5]Xiaoli Gong
Dark-channel based attention and classifier retraining for smoke detection in foggy environments. Digit. Signal Process. 123: 103454 (2022) - [c24]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: 4404-4408 - [c23]Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen:
MERIT: Learning Multi-level Representations on Temporal Graphs. IJCAI 2022: 2073-2079 - [c22]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: 4001-4009 - [c21]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: 116-120 - 2021
- [c20]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: 15000-15007 - [c19]Le Yang
Dark-Channel Mixed Attention Based Neural Networks for Smoke Detection in Fog Environment. UbiComp/ISWC Adjunct 2021: 691-696 - [c18]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: 1611-1614 - 2020
- [c17]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: 580-587 - [c16]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: 2455-2463 - [c15]Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi:
Bandit Samplers for Training Graph Neural Networks. NeurIPS 2020 - [i6]Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi:
Bandit Samplers for Training Graph Neural Networks. CoRR abs/2006.05806 (2020)
2010 – 2019
- 2019
- [j4]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): 12-21 (2019) - [c14]Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater:
Belief dynamics extraction. CogSci 2019: 2058-2064 - [i5]Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater:
Belief dynamics extraction. CoRR abs/1902.00673 (2019) - 2018
- [i4]Zhengwei Wu, Paul R. Schrater, Xaq Pitkow:
Inverse POMDP: Inferring What You Think from What You Do. CoRR abs/1805.09864 (2018) - 2017
- [j3]Lei Dong
Measuring economic activity in China with mobile big data. EPJ Data Sci. 6(1): 29 (2017) - [c13]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: 170-175 - [c12]Weiping Pei
An embedded 6-axis sensor based recognition for tennis stroke. ICCE 2017: 55-58 - [c11]Yang Zhou, Zhengwei Wu:
Risk index assessment for urban natural gas pipeline leakage based on artificial neural network. ICNC-FSKD 2017: 1261-1263 - 2016
- [c10]Zhengwei Wu, Saleem A. Kassam:
Computationally efficient Toeplitz-constrained blind equalization based on independence. CISS 2016: 484-489 - [c9]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: 40:1-40:10 - [c8]Zhengwei Wu, Saleem A. Kassam, Visa Koivunen:
Relative-gradient Bussgang-type blind equalization algorithms. ICASSP 2016: 2459-2463 - [c7]Wei Cao, Zhengwei Wu, Dong Wang, Jian Li, Haishan Wu:
Automatic user identification method across heterogeneous mobility data sources. ICDE 2016: 978-989 - [i3]Mengwen Xu, Tianyi Wang, Zhengwei Wu, Jingbo Zhou, Jian Li, Haishan Wu:
Store Location Selection via Mining Search Query Logs of Baidu Maps. CoRR abs/1606.03662 (2016) - [i2]Lei Dong, Sicong Chen, Yunsheng Cheng, Zhengwei Wu, Chao Li, Haishan Wu:
Measuring Economic Activities of China with Mobile Big Data. CoRR abs/1607.04451 (2016) - 2015
- [c6]Zhengwei Wu, Saleem A. Kassam:
Symbol-rate blind equalization based on constrained blind separation. CISS 2015: 1-6 - 2014
- [c5]Zhengwei Wu, Saleem A. Kassam, Kaipeng Li:
Blind equalization based on blind separation with Toeplitz constraint. ACSSC 2014: 1453-1457 - [c4]Zhengwei Wu, Victor M. Preciado:
Laplacian Spectral Properties of Graphs from Random Local Samples. SDM 2014: 343-351 - 2013
- [i1]Zhengwei Wu, Victor M. Preciado:
Laplacian Spectral Properties of Graphs from Random Local Samples. CoRR abs/1310.4899 (2013) - 2012
- [j2]Wei Xu
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): 1515-1525 (2012) - [c3]Jiangang Zhang, Zhengwei Wu, Zhan Zhao, Xin Guan:
Miniature pyranometer with asteroid shape thermopile. NEMS 2012: 108-111 - 2011
- [c2]Zhengwei Wu, Peng Cheng, Xinbing Wang, Xiaoying Gan, Hui Yu, Hailong Wang:
Cooperative Spectrum Allocation for Cognitive Radio Network: An Evolutionary Approach. ICC 2011: 1-5
2000 – 2009
- 2009
- [j1]Deyong Chen, Zhengwei Wu, Lei Liu, Xiaojing Shi, Junbo Wang:
An Electromagnetically Excited Silicon Nitride Beam Resonant Accelerometer. Sensors 9(3): 1330-1338 (2009) - [c1]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: 754-757
Coauthor Index
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last updated on 2024-10-07 22:22 CEST by the dblp team
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