| 2026 | ACL | LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks. | Yuxuan Lu, Bingsheng Yao, Shao Zhang, Yisi Sang, Yun Wang, Hansu Gu, Peng Zhang, Tun Lu, Toby Jia-Jun Li, Dakuo Wang |
| 2026 | CHI | Agent A/B: Automated and Scalable A/B Testing on Live Websites with Interactive LLM Agents. | Yuxuan Lu, Ting-Yao Hsu, Hansu Gu, Limeng Cui, Yaochen Xie, William Headden, Bingsheng Yao, Akash Veeragouni, Jiapeng Liu, Sreyashi Nag, Zheshen Jessie Wang, Dakuo Wang |
| 2026 | CHI | SparkTales: Facilitating Cross-Language Collaborative Storytelling through Coordinator-AI Collaboration. | Wenxin Zhao, Peng Zhang, Hansu Gu, Haoxuan Zhou, Xiaojie Huo, Lin Wang, Wen Zheng, Tun Lu, Ning Gu |
| 2026 | SIGIR | Drift-Aware Incremental Token Adaptation with Collaborative Semantics for Generative Recommendation. | Yuebo Feng, Jiahao Liu, Mingzhe Han, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Ning Gu |
| 2026 | WSDM | LLM Agent-based Shilling Attack on Recommender Systems. | Shengkang Gu, Jiahao Liu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Ning Gu, Li Shang, Tun Lu |
| 2025 | ACL | EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association. | Weiqi Wang, Limeng Cui, Xin Liu, Sreyashi Nag, Wenju Xu, Chen Luo, Sheikh Muhammad Sarwar, Yang Li, Hansu Gu, Hui Liu, Changlong Yu, Jiaxin Bai, Yifan Gao, Haiyang Zhang, Qi He, Shuiwang Ji, Yangqiu Song |
| 2025 | CHI | UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design. | Yuxuan Lu, Bingsheng Yao, Hansu Gu, Jing Huang, Zheshen Jessie Wang, Yang Li, Jiri Gesi, Qi He, Toby Jia-Jun Li, Dakuo Wang |
| 2025 | CHI | RemiHaven: Integrating "In-Town" and "Out-of-Town" Peers to Provide Personalized Reminiscence Support for Older Drifters. | Xuechen Zhang, Changyang He, Peng Zhang, Hansu Gu, Ning Gu, Qi Shen, Zhan Hu, Tun Lu |
| 2025 | CHI | YouthCare: Building a Personalized Collaborative Video Censorship Tool to Support Parent-Child Joint Media Engagement. | Wenxin Zhao, Fangyu Yu, Peng Zhang, Hansu Gu, Lin Wang, Siyuan Qiao, Tun Lu, Ning Gu |
| 2025 | CIKM | EvalAgent: Towards Evaluating News Recommender Systems with LLM-based Agents. | Guangping Zhang, Peng Zhang, Jiahao Liu, Zhuoheng Li, Dongsheng Li, Hansu Gu, Tun Lu, Ning Gu |
| 2025 | ICWSM | AOTree: Aspect Order Tree-Based Model for Explainable Recommendation. | Wenxin Zhao, Peng Zhang, Hansu Gu, Dongsheng Li, Tun Lu, Ning Gu |
| 2025 | NAACL | Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data. | Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang |
| 2025 | WWW | Filtering Discomforting Recommendations with Large Language Models. | Jiahao Liu, Yiyang Shao, Peng Zhang, Dongsheng Li, Hansu Gu, Chao Chen, Longzhi Du, Tun Lu, Ning Gu |
| 2025 | WWW | Frequency-aware Graph Signal Processing for Collaborative Filtering. | Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2025 | SIGIR | FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation. | Mingzhe Han, Dongsheng Li, Jiafeng Xia, Jiahao Liu, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu |
| 2025 | SIGIR | Unbiased Collaborative Filtering with Fair Sampling. | Jiahao Liu, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu |
| 2025 | SIGIR | AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations. | Jiahao Liu, Shengkang Gu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu |
| 2025 | SIGIR | Improving LLM-powered Recommendations with Personalized Information. | Jiahao Liu, Xueshuo Yan, Dongsheng Li, Guangping Zhang, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu |
| 2025 | WSDM | Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation. | Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2024 | CSCW | Challenges and Opportunities of LLM-Based Synthetic Personae and Data in HCI. | Mirjana Prpa, Giovanni Maria Troiano, Bingsheng Yao, Toby Jia-Jun Li, Dakuo Wang, Hansu Gu |
| 2024 | WWW | Hierarchical Graph Signal Processing for Collaborative Filtering. | Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2024 | WSDM | Neural Kalman Filtering for Robust Temporal Recommendation. | Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2023 | CIKM | AutoSeqRec: Autoencoder for Efficient Sequential Recommendation. | Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu |
| 2023 | CIKM | Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction. | Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu |
| 2023 | EMNLP | An Intent-based and Annotation-free Method for Duplicate Question Detection in CQA Forums. | Yubo Shu, Hansu Gu, Peng Zhang, Tun Lu, Ning Gu |
| 2023 | WWW | Personalized Graph Signal Processing for Collaborative Filtering. | Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2023 | SIGIR | Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation. | Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2023 | WSDM | CL4CTR: A Contrastive Learning Framework for CTR Prediction. | Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu |
| 2022 | DASFAA | MCRF: Enhancing CTR Prediction Models via Multi-channel Feature Refinement Framework. | Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu |
| 2022 | WWW | Accurate and Explainable Recommendation via Review Rationalization. | Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu |
| 2022 | WWW | FIRE: Fast Incremental Recommendation with Graph Signal Processing. | Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu |
| 2022 | SIGIR | Enhancing CTR Prediction with Context-Aware Feature Representation Learning. | Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu |
| 2022 | WSDM | A Personalized Cross-Platform Post Style Transfer Method Based on Transformer and Bi-Attention Mechanism. | Zhuo Chen, Baoxi Liu, Peng Zhang, Tun Lu, Hansu Gu, Ning Gu |
| 2021 | CIKM | Incremental Graph Convolutional Network for Collaborative Filtering. | Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu |
| 2021 | DASFAA | SANS: Setwise Attentional Neural Similarity Method for Few-Shot Recommendation. | Zhenghao Zhang, Tun Lu, Dongsheng Li, Peng Zhang, Hansu Gu, Ning Gu |
| 2018 | CSCWD | Exploring the Effect of Politeness on User Contribution in Q&A sites: A Case Study of Stack Overflow. | Yiru Fangl, Tun Lu, Peng Zhang, Hansu Gu, Ning Gu |
| 2018 | WWW | AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering. | Dongsheng Li, Chao Chen, Qin Lv, Hansu Gu, Tun Lu, Li Shang, Ning Gu, Stephen M. Chu |
| 2017 | CSCWD | Credit scoring using ensemble classification based on variable weighting clustering. | Haiyang Ding, Peng Zhang, Tun Lu, Hansu Gu, Ning Gu |
| 2017 | CSCWD | Hybrid recommendation model based on incremental collaborative filtering and content-based algorithms. | Haiming Wang, Peng Zhang, Tun Lu, Hansu Gu, Ning Gu |
| 2016 | CSCWD | Behavior prediction using an improved Hidden Markov Model to support people with disabilities in smart homes. | Eying Wu, Peng Zhang, Tun Lu, Hansu Gu, Ning Gu |
| 2015 | CSCWD | Measuring domain-specific user influence in microblogs: An Actor-Network Theory based approach. | Bo Tang, Tun Lu, Hansu Gu, Xianghua Ding, Ning Gu |
| 2015 | CSCWD | Influential user recommendation through SVD based topic diversification. | Lun Wang, Tun Lu, Hansu Gu, Xianghua Ding, Ning Gu |
| 2013 | CIKM | AnchorMF: towards effective event context identification. | Hansu Gu, Mike Gartrell, Liang Zhang, Qin Lv, Dirk Grunwald |
| 2012 | SAC | Location based routing using smartphones in an infrastructureless environment. | Alireza Mahdian, Hansu Gu, Sravan Thokala, Shivakant Mishra |
| 2009 | ICDCS | An Approach to Sharing Legacy TV/Arcade Games for Real-Time Collaboration. | Sili Zhao, Du Li, Hansu Gu, Bin Shao, Ning Gu |