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Wentao Zhang (张文涛)
Wentao Zhang (张文涛)
Assistant Professor, Peking University
Verified email at pku.edu.cn - Homepage
Title
Cited by
Cited by
Year
Diffusion models: A comprehensive survey of methods and applications
L Yang, Z Zhang, Y Song, S Hong, R Xu, Y Zhao, Y Shao, W Zhang*, ...
ACM Computing Surveys, 2022
15862022
Graph neural networks in recommender systems: a survey
S Wu, F Sun, W Zhang*, X Xie, B Cui*
ACM Computing Surveys 55 (5), 1-37, 2022
14132022
Retrieval-augmented generation for ai-generated content: A survey
P Zhao, H Zhang, Q Yu, Z Wang, Y Geng, F Fu, L Yang, W Zhang, B Cui
arXiv preprint arXiv:2402.19473, 2024
1892024
Graph attention multi-layer perceptron
W Zhang, Z Yin, Z Sheng, Y Li, W Ouyang, X Li, Y Tao, Z Yang, B Cui
ACM SIGKDD 2022, 2022
148*2022
Deepseek-v2: A strong, economical, and efficient mixture-of-experts language model
A Liu, B Feng, B Wang, B Wang, B Liu, C Zhao, C Dengr, C Ruan, D Dai, ...
arXiv preprint arXiv:2405.04434, 2024
1172024
GPT4Rec: A generative framework for personalized recommendation and user interests interpretation
J Li, W Zhang, T Wang, G Xiong, A Lu, G Medioni
arXiv preprint arXiv:2304.03879, 2023
1132023
Model Degradation Hinders Deep Graph Neural Networks
W Zhang, Z Sheng, Z Yin, Y Jiang, Y Xia, J Gao, Z Yang, B Cui
ACM SIGKDD 2022, 2022
92*2022
Reliable data distillation on graph convolutional network
W Zhang, X Miao, Y Shao, J Jiang, L Chen, O Ruas, B Cui
ACM SIGMOD 2020, 1399-1414, 2020
912020
OpenBox: A Generalized Black-box Optimization Service
Y Li, Y Shen, W Zhang, Y Chen, H Jiang, M Liu, J Jiang, J Gao, W Wu, ...
ACM SIGKDD 2021, 2021
812021
Snapshot boosting: a fast ensemble framework for deep neural networks
W Zhang, J Jiang, Y Shao, B Cui
Science China Information Sciences 63 (1), 112102, 2020
812020
Deepseek llm: Scaling open-source language models with longtermism
X Bi, D Chen, G Chen, S Chen, D Dai, C Deng, H Ding, K Dong, Q Du, ...
arXiv preprint arXiv:2401.02954, 2024
782024
Node Dependent Local Smoothing for Scalable Graph Learning
W Zhang, M Yang, Z Sheng, Y Li, W Ouyang, Y Tao, Z Yang, B Cui
NeurIPS 2021, Spotlight Paper (Acceptance Rate < 3%), 2021
712021
Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
D Guo, D Yang, H Zhang, J Song, R Zhang, R Xu, Q Zhu, S Ma, P Wang, ...
arXiv preprint arXiv:2501.12948, 2025
632025
Deepseek-v3 technical report
A Liu, B Feng, B Xue, B Wang, B Wu, C Lu, C Zhao, C Deng, C Zhang, ...
arXiv preprint arXiv:2412.19437, 2024
632024
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm
W Zhang, Y Shen, Z Lin, Y Li, X Li, W Ouyang, Y Tao, Z Yang, B Cui
WWW 2022, Best Student Paper Award, 2022
582022
Distributed graph neural network training: A survey
Y Shao, H Li, X Gu, H Yin, Y Li, X Miao, W Zhang, B Cui, L Chen
ACM Computing Surveys 56 (8), 1-39, 2024
562024
VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition
Y Li, Y Shen, W Zhang, C Zhang, B Cui
The VLDB Journal 32 (2), 389-413, 2023
542023
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization
W Zhang, Z Yang, Y Wang, Y Shen, Y Li, L Wang, B Cui
VLDB 2021, 2021
532021
Diffusion-based scene graph to image generation with masked contrastive pre-training
L Yang, Z Huang, Y Song, S Hong, G Li, W Zhang, B Cui, B Ghanem, ...
arXiv preprint arXiv:2211.11138, 2022
452022
DeGNN: Improving Graph Neural Networks with Graph Decomposition
X Miao, NM Gürel, W Zhang, Z Han, B Li, W Min, SX Rao, H Ren, Y Shan, ...
ACM SIGKDD 2021, 1223-1233, 2021
42*2021
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