Batch effects correction for microbiome data with Dirichlet-multinomial regression. - Zhenwei Dai; Sunny Hei Wong; Jun Yu 009; Yingying Wei (Bioinform., 2019)

Channel Normalization in Convolutional Neural Network avoids Vanishing Gradients. - Zhenwei Dai; Reinhard Heckel (CoRR, 2019)

Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier. - Zhenwei Dai; Anshumali Shrivastava (CoRR, 2019)

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 (NeurIPS, 2020)

Learned Bloom Filters in Adversarial Environments: A Malicious URL Detection Use-Case. - Pedro Reviriego; José Alberto Hernández 001; Zhenwei Dai; Anshumali Shrivastava (HPSR, 2021)

Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. - Zhenwei Dai; Aditya Desai; Reinhard Heckel; Anshumali Shrivastava (SIGMOD Conference, 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)

ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. - Zhenwei Dai; Vasileios Ioannidis; Soji Adeshina; Zak Jost; Christos Faloutsos; George Karypis (LoG, 2022)

Optimizing Learned Bloom Filters: How Much Should Be Learned? - Zhenwei Dai; Anshumali Shrivastava; Pedro Reviriego; José Alberto Hernández 001 (IEEE Embed. Syst. Lett., 2022)

Graph Self-supervised Learning via Proximity Distribution Minimization. - Tianyi Zhang 011; Zhenwei Dai; Zhaozhuo Xu; Anshumali Shrivastava (UAI, 2023)

Exploring Query Understanding for Amazon Product Search. - Chen Luo 003; Xianfeng Tang; Hanqing Lu; Yaochen Xie; Hui Liu 003; Zhenwei Dai; Limeng Cui; Ashutosh Joshi; Sreyashi Nag; Yang Li 055; Zhen Li; Rahul Goutam; et al. (IEEE Big Data, 2024)

RA-NER: Retrieval augmented NER for knowledge intensive named entity recognition. - Zhenwei Dai; Chen Luo 003; Zhen Li; Xianfeng Tang; Hanqing Lu; Rahul Goutam; Haiyang Zhang (Tiny Papers @ ICLR, 2024)

Session-Aware Product filter Ranking in E- Commerce Search. - Hanqing Lu; Xianfeng Tang; Chen Luo 003; Limeng Cui; Zhenwei Dai; Rahul Goutam; Haiyang Zhang; Monica Xiao Cheng (Tiny Papers @ ICLR, 2024)

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. - Ran Xu 002; Hui Liu 003; Sreyashi Nag; Zhenwei Dai; Yaochen Xie; Xianfeng Tang; Chen Luo 003; Yang Li 055; Joyce C. Ho; Carl Yang 001; Qi He 002 (CoRR, 2024)

A General Framework to Enhance Fine-tuning-based LLM Unlearning. - Jie Ren 019; Zhenwei Dai; Xianfeng Tang; Hui Liu; Jingying Zeng; Zhen Li; Rahul Goutam; Suhang Wang; Yue Xing 002; Qi He 002 (ACL (Findings), 2025)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. - Yingqian Cui; Pengfei He; Jingying Zeng; Hui Liu 003; Xianfeng Tang; Zhenwei Dai; Yan Han 001; Chen Luo 003; Jing Huang; Zhen Li; Suhang Wang; Yue Xing 002; et al. (ACL (Findings), 2025)

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. - Ran Xu 002; Hui Liu 031; Sreyashi Nag; Zhenwei Dai; Yaochen Xie; Xianfeng Tang; Chen Luo 003; Yang Li 055; Joyce C. Ho; Carl Yang 001; Qi He 002 (NAACL (Long Papers), 2025)

Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. - Jingying Zeng; Zhenwei Dai; Hui Liu; Samarth Varshney; Zhiji Liu; Chen Luo 003; Zhen Li; Qi He 002; Xianfeng Tang (SIGIR, 2025)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. - Yingqian Cui; Pengfei He; Jingying Zeng; Hui Liu 003; Xianfeng Tang; Zhenwei Dai; Yan Han 001; Chen Luo 003; Jing Huang; Zheng Li 018; Suhang Wang; Yue Xing 002; et al. (CoRR, 2025)

A General Framework to Enhance Fine-tuning-based LLM Unlearning. - Jie Ren 019; Zhenwei Dai; Xianfeng Tang; Hui Liu 003; Jingying Zeng; Zhen Li; Rahul Goutam; Suhang Wang; Yue Xing 002; Qi He 002 (CoRR, 2025)

How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities. - Minhua Lin; Hui Liu 003; Xianfeng Tang; Jingying Zeng; Zhenwei Dai; Chen Luo 003; Zheng Li 018; Xiang Zhang 001; Qi He 002; Suhang Wang (CoRR, 2025)

Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents. - Jingying Zeng; Hui Liu 003; Zhenwei Dai; Xianfeng Tang; Chen Luo 003; Samarth Varshney; Zhen Li; Qi He 002 (CoRR, 2025)

Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. - Jingying Zeng; Zhenwei Dai; Hui Liu 003; Samarth Varshney; Zhiji Liu; Chen Luo 003; Zheng Li 018; Qi He 002; Xianfeng Tang (CoRR, 2025)

Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. - Jie Ren 019; Zhenwei Dai; Xianfeng Tang; Yue Xing 002; Shenglai Zeng; Hui Liu 031; Jingying Zeng; Qiankun Peng; Samarth Varshney; Suhang Wang; Qi He 002; Charu C. Aggarwal; et al. (CoRR, 2025)

Comprehensive Vulnerability Analysis is Necessary for Trustworthy LLM-MAS. - Pengfei He; Yue Xing 002; Shen Dong; Juanhui Li; Zhenwei Dai; Xianfeng Tang; Hui Liu 031; Han Xu 002; Zhen Xiang; Charu C. Aggarwal; Hui Liu 031 (CoRR, 2025)

Attention Knows Whom to Trust: Attention-based Trust Management for LLM Multi-Agent Systems. - Pengfei He; Zhenwei Dai; Xianfeng Tang; Yue Xing 002; Hui Liu 003; Jingying Zeng; Qiankun Peng; Shrivats Agrawal; Samarth Varshney; Suhang Wang; Jiliang Tang; Qi He 002 (CoRR, 2025)

LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes. - Zhenwei Dai; Chuan Lei; Asterios Katsifodimos; Xiao Qin 003; Christos Faloutsos; Huzefa Rangwala (CoRR, 2025)

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary. - Zhiwei Zhang; Hui Liu; Xiaomin Li; Zhenwei Dai; Jingying Zeng; Fali Wang; Minhua Lin; Ramraj Chandradevan; Zheng Li 018; Chen Luo 003; Xianfeng Tang; Qi He 002; et al. (CoRR, 2025)

AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks. - Fali Wang; Hui Liu 031; Zhenwei Dai; Jingying Zeng; Zhiwei Zhang; Zongyu Wu 001; Chen Luo 003; Zheng Li 018; Xianfeng Tang; Qi He 002; Suhang Wang (CoRR, 2025)