Zhenwei Dai

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Covariance Matrix

Named Entity Recognition

Top Venues

Tiny Papers @ ICLR

Publications

Zhenwei Dai, Chen Luo, Zhen Li, Xianfeng Tang, Hanqing Lu, Rahul Goutam, Haiyang Zhang
RA-NER: Retrieval augmented NER for knowledge intensive named entity recognition. Tiny Papers @ ICLR (2024)
Hanqing Lu, Xianfeng Tang, Chen Luo, Limeng Cui, Zhenwei Dai, Rahul Goutam, Haiyang Zhang, Monica Xiao Cheng
Session-Aware Product filter Ranking in E- Commerce Search. Tiny Papers @ ICLR (2024)
Tianyi Zhang, Zhenwei Dai, Zhaozhuo Xu, Anshumali Shrivastava
Graph Self-supervised Learning via Proximity Distribution Minimization. UAI (2023)
Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. CoRR (2022)
Zhenwei Dai, Anshumali Shrivastava, Pedro Reviriego, José Alberto Hernández
Optimizing Learned Bloom Filters: How Much Should Be Learned? IEEE Embed. Syst. Lett. 14 (3) (2022)
Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. LoG (2022)
Pedro Reviriego, José Alberto Hernández, Zhenwei Dai, Anshumali Shrivastava
Learned Bloom Filters in Adversarial Environments: A Malicious URL Detection Use-Case. HPSR (2021)
Zhenwei Dai, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Anshumali Shrivastava
Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks. CoRR (2021)
Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. SIGMOD Conference (2021)
Zhenwei Dai, Anshumali Shrivastava
Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier with Application to Real-Time Information Filtering on the Web. NeurIPS (2020)
Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. CoRR (2020)
Zhenwei Dai, Reinhard Heckel
Channel Normalization in Convolutional Neural Network avoids Vanishing Gradients. CoRR (2019)
Zhenwei Dai, Anshumali Shrivastava
Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier. CoRR (2019)
Zhenwei Dai, Sunny Hei Wong, Jun Yu, Yingying Wei
Batch effects correction for microbiome data with Dirichlet-multinomial regression. Bioinform. 35 (13) (2019)
Zhenwei Dai, Sunny Hei Wong, Jun Yu, Yingying Wei
Batch effects correction for microbiome data with Dirichlet-multinomial regression. Bioinform. 35 (5) (2019)