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2020 – today
- 2025
[c9]Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He:
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. NAACL (Long Papers) 2025: 11534-11550- [i12]Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zheng Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He:
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. CoRR abs/2502.13260 (2025) - [i11]Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He:
A General Framework to Enhance Fine-tuning-based LLM Unlearning. CoRR abs/2502.17823 (2025) - [i10]Minhua Lin, Hui Liu, Xianfeng Tang, Jingying Zeng, Zhenwei Dai, Chen Luo, Zheng Li, Xiang Zhang, Qi He, Suhang Wang:
How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities. CoRR abs/2502.18387 (2025) - [i9]Jingying Zeng, Hui Liu, Zhenwei Dai, Xianfeng Tang, Chen Luo, Samarth Varshney
, Zhen Li, Qi He:
Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents. CoRR abs/2503.04830 (2025) - [i8]Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zheng Li, Qi He, Xianfeng Tang:
Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. CoRR abs/2503.13518 (2025) - 2024
- [c8]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:
Exploring Query Understanding for Amazon Product Search. IEEE Big Data 2024: 2343-2348 - [c7]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 - [c6]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 - [i7]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:
Exploring Query Understanding for Amazon Product Search. CoRR abs/2408.02215 (2024) - [i6]Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He:
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. CoRR abs/2410.17952 (2024) - 2023
- [c5]Tianyi Zhang, Zhenwei Dai, Zhaozhuo Xu, Anshumali Shrivastava:
Graph Self-supervised Learning via Proximity Distribution Minimization. UAI 2023: 2498-2508 - 2022
- [j3]Zhenwei Dai, Anshumali Shrivastava, Pedro Reviriego, José Alberto Hernández:
Optimizing Learned Bloom Filters: How Much Should Be Learned? IEEE Embed. Syst. Lett. 14(3): 123-126 (2022) - [c4]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: 35 - [i5]Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis:
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. CoRR abs/2206.04255 (2022) - 2021
- [c3]Pedro Reviriego, José Alberto Hernández, Zhenwei Dai, Anshumali Shrivastava:
Learned Bloom Filters in Adversarial Environments: A Malicious URL Detection Use-Case. HPSR 2021: 1-6 - [c2]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: 352-364 - [i4]Zhenwei Dai, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Anshumali Shrivastava:
Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks. CoRR abs/2110.12292 (2021) - 2020
- [c1]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 - [i3]Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava:
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. CoRR abs/2010.15951 (2020)
2010 – 2019
- 2019
- [j2]Zhenwei Dai, Sunny Hei Wong, Jun Yu, Yingying Wei:
Batch effects correction for microbiome data with Dirichlet-multinomial regression. Bioinform. 35(5): 807-814 (2019) - [j1]Zhenwei Dai, Sunny Hei Wong, Jun Yu, Yingying Wei:
Batch effects correction for microbiome data with Dirichlet-multinomial regression. Bioinform. 35(13): 2348 (2019) - [i2]Zhenwei Dai, Reinhard Heckel:
Channel Normalization in Convolutional Neural Network avoids Vanishing Gradients. CoRR abs/1907.09539 (2019) - [i1]Zhenwei Dai, Anshumali Shrivastava:
Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier. CoRR abs/1910.09131 (2019)
Coauthor Index
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last updated on 2025-06-17 00:10 CEST by the dblp team
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