Grouped-Attention for Content-Selection and Content-Plan Generation. - Bayu Distiawan Trisedya; Xiaojie Wang 003; Jianzhong Qi 001; Rui Zhang 003; Qingjun Cui (EMNLP (Findings), 2021)

DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction. - Aashiq Muhamed; Jaspreet Singh; Shuai Zheng 004; Iman Keivanloo; Sujan Perera; James Mracek; Yi Xu 011; Qingjun Cui; Santosh Rajagopalan; Belinda Zeng; Trishul Chilimbi (WWW (Companion Volume), 2022)

ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models. - Jianyi Zhang; Aashiq Muhamed; Aditya Anantharaman; Guoyin Wang 002; Changyou Chen; Kai Zhong; Qingjun Cui; Yi Xu 011; Belinda Zeng; Trishul Chilimbi; Yiran Chen 001 (ACL (2), 2023)

Behavior-driven Query Similarity Prediction based on Pre-trained Language Models for E-Commerce Search. - Yupin Huang; Jiri Gesi; Xinyu Hong; Kai Zhong; Han Cheng; Vivek Mittal; Qingjun Cui; Vamsi Salaka (eCom@SIGIR, 2023)

OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding. - Zhan Shi; Guoyin Wang 002; Ke Bai 001; Jiwei Li 001; Xiang Li; Qingjun Cui; Belinda Zeng; Trishul Chilimbi; Xiaodan Zhu 001 (EMNLP, 2023)

Web-Scale Semantic Product Search with Large Language Models. - Aashiq Muhamed; Sriram Srinivasan 004; Choon Hui Teo; Qingjun Cui; Belinda Zeng; Trishul Chilimbi; S. V. N. Vishwanathan (PAKDD (3), 2023)

GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. - Da Zheng; Xiang Song 003; Qi Zhu 008; Jian Zhang; Theodore Vasiloudis; Runjie Ma; Houyu Zhang; Zichen Wang 002; Soji Adeshina; Israt Nisa; Alejandro Mottini; Qingjun Cui; et al. (KDD, 2024)

GraphStorm: all-in-one graph machine learning framework for industry applications. - Da Zheng; Xiang Song 003; Qi Zhu 008; Jiani Zhang 003; Theodore Vasiloudis; Runjie Ma; Houyu Zhang; Zichen Wang 002; Soji Adeshina; Israt Nisa; Alejandro Mottini; Qingjun Cui; et al. (CoRR, 2024)

InfoPO: On Mutual Information Maximization for Large Language Model Alignment. - Teng Xiao; Zhen Ge; Sujay Sanghavi; Tian Wang; Julian Katz-Samuels; Marc Versage; Qingjun Cui; Trishul Chilimbi (NAACL (Long Papers), 2025)

Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning. - Yimeng Zhang; Tian Wang; Jiri Gesi; Ziyi Wang; Yuxuan Lu 003; Jiacheng Lin; Sinong Zhan; Vianne Gao; Ruochen Jiao; Junze Liu; Kun Qian; Yuxin Tang; et al. (CoRR, 2025)