Zhenwei Dai

According to our database, Zhenwei Dai authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.

Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He

CoRR, 2024

Exploring Query Understanding for Amazon Product Search.

Chen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He

CoRR, 2024

Session-Aware Product filter Ranking in E- Commerce Search.

Hanqing Lu, Xianfeng Tang, Chen Luo, Limeng Cui, Zhenwei Dai, Rahul Goutam, Haiyang Zhang, Monica Xiao Cheng

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

RA-NER: Retrieval augmented NER for knowledge intensive named entity recognition.

Zhenwei Dai, Chen Luo, Zhen Li, Xianfeng Tang, Hanqing Lu, Rahul Goutam, Haiyang Zhang

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

Graph Self-supervised Learning via Proximity Distribution Minimization.

Tianyi Zhang, Zhenwei Dai, Zhaozhuo Xu, Anshumali Shrivastava

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Optimizing Learned Bloom Filters: How Much Should Be Learned?

Zhenwei Dai, Anshumali Shrivastava, Pedro Reviriego, José Alberto Hernández

IEEE Embed. Syst. Lett., 2022

ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning.

Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis

Proceedings of the Learning on Graphs Conference, 2022

2021

Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks.

Zhenwei Dai, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Anshumali Shrivastava

CoRR, 2021

Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix.

Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Learned Bloom Filters in Adversarial Environments: A Malicious URL Detection Use-Case.

Pedro Reviriego, José Alberto Hernández, Zhenwei Dai, Anshumali Shrivastava

Proceedings of the 22nd IEEE International Conference on High Performance Switching and Routing, 2021

2020

Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier with Application to Real-Time Information Filtering on the Web.

Zhenwei Dai, Anshumali Shrivastava

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

2019

Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier.

Zhenwei Dai, Anshumali Shrivastava

CoRR, 2019

Channel Normalization in Convolutional Neural Network avoids Vanishing Gradients.

Zhenwei Dai, Reinhard Heckel

CoRR, 2019

Batch effects correction for microbiome data with Dirichlet-multinomial regression.

Zhenwei Dai, Sunny Hei Wong, Jun Yu, Yingying Wei

Bioinform., 2019