Wenyu Mao

According to our database, Wenyu Mao authored at least 18 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Invariant graph learning meets information bottleneck for out-of-distribution generalization.

Wenyu Mao, Jiancan Wu, Haoyang Liu, Yongduo Sui, Xiang Wang

Frontiers Comput. Sci., January, 2026

2025

On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders.

Wenyu Mao, Jiancan Wu, Guoqing Hu, Zhengyi Yang, Wei Ji, Xiang Wang

CoRR, October, 2025

Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation.

Guoqing Hu, An Zhang, Shuchang Liu, Wenyu Mao, Jiancan Wu, Xun Yang, Xiang Li, Lantao Hu, Han Li, Kun Gai, Xiang Wang

CoRR, September, 2025

Denoising Neural Reranker for Recommender Systems.

Wenyu Mao, Shuchang Liu, Hailan Yang, Xiaobei Wang, Xiaoyu Yang, Xu Gao, Xiang Li, Lantao Hu, Han Li, Kun Gai, An Zhang, Xiang Wang

CoRR, September, 2025

Reinforced Prompt Personalization for Recommendation with Large Language Models.

Wenyu Mao, Jiancan Wu, Weijian Chen, Chongming Gao, Xiang Wang, Xiangnan He

ACM Trans. Inf. Syst., May, 2025

Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation.

Wenyu Mao, Shuchang Liu, Haoyang Liu, Haozhe Liu, Xiang Li, Lanatao Hu

CoRR, January, 2025

Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation.

Wenyu Mao, Shuchang Liu, Haoyang Liu, Haozhe Liu, Xiang Li, Lantao Hu

Proceedings of the ACM on Web Conference 2025, 2025

Addressing Missing Data Issue for Diffusion-based Recommendation.

Wenyu Mao, Zhengyi Yang, Jiancan Wu, Haozhe Liu, Yancheng Yuan, Xiang Wang, Xiangnan He

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024

Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning.

Yongduo Sui, Wenyu Mao, Shuyao Wang, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua

ACM Trans. Knowl. Discov. Data, June, 2024

CAT-DUnet: Enhancing Speech Dereverberation via Feature Fusion and Structural Similarity Loss.

Bajian Xiang, Wenyu Mao, Kaijun Tan, Huaxiang Lu

IEEE Signal Process. Lett., 2024

ACQ: Improving generative data-free quantization via attention correction.

Jixing Li, Xiaozhou Guo, Benzhe Dai, Guoliang Gong, Min Jin, Gang Chen, Wenyu Mao, Huaxiang Lu

Pattern Recognit., 2024

2023

CST: Complex Sparse Transformer for Low-SNR Speech Enhancement.

Kaijun Tan, Wenyu Mao, Xiaozhou Guo, Huaxiang Lu, Chi Zhang, Zhanzhong Cao, Xingang Wang

Sensors, March, 2023

CheapNET: Improving Light-weight speech enhancement network by projected loss function.

Kaijun Tan, Benzhe Dai, Jiakui Li, Wenyu Mao

CoRR, 2023

Unet-Astar: A Deep Learning-Based Fast Routing Algorithm for Unified PCB Routing.

Shiyuan Yin, Min Jin, Gang Chen, Guoliang Gong, Wenyu Mao, Huaxiang Lu

IEEE Access, 2023

2022

An Efficient and Scalable Algorithm to Mine Functional Dependencies from Distributed Big Data.

Wanqing Wu, Wenyu Mao

Sensors, 2022

FPGA-based design and implementation of the location attention mechanism in neural networks.

Ruixiu Qiao, Xiaozhou Guo, Wenyu Mao, Jixing Li, Huaxiang Lu

J. Intell. Fuzzy Syst., 2022

2018

Research on RSS Data Optimization and DFL Localization for Non-Empty Environments.

Wenyu Mao, Rongxuan Shen, Ke Wang, Guoliang Gong, Yi Xiao, Huaxiang Lu

Sensors, 2018

Tracking the multi-well surface dynamometer card state for a sucker-rod pump by using a particle filter.

An Wang, Guoliang Gong, Rongxuan Shen, Wenyu Mao, Huaxiang Lu, Ke Wang, Junping Wang

IET Commun., 2018