Longfei Li

2026

doi dblp
Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems.
Jiaming Zhang|Yuyuan Li|Xiaohua Feng|Li Zhang|Longfei Li|Jun Zhou|Chaochao Chen
Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.

2024

doi dblp
Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects.
Dong Yao|Caizhi Tang|Qing Cui|Longfei Li
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi dblp
GATS: Generative Audience Targeting System for Online Advertising.
Cong Jiang|Zhongde Chen|Bo Zhang|Yankun Ren|Xin Dong|Lei Cheng|Xinxing Yang|Longfei Li|Jun Zhou|Linjian Mo
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi dblp
Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models.
Yankun Ren|Zhongde Chen|Xinxing Yang|Longfei Li|Cong Jiang|Lei Cheng|Bo Zhang|Linjian Mo|Jun Zhou
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi dblp
Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding.
Ya-Lin Zhang|Caizhi Tang|Lu Yu|Jun Zhou|Longfei Li|Qing Cui|Fangfang Fan|Linbo Jiang|Xiaosong Zhao
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
doi dblp
Invariant Graph Learning for Causal Effect Estimation.
Yongduo Sui|Caizhi Tang|Zhixuan Chu|Junfeng Fang|Yuan Gao|Qing Cui|Longfei Li|Jun Zhou|Xiang Wang
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
doi dblp
Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge.
Junpeng Fang|Gongduo Zhang|Qing Cui|Lihong Gu|Longfei Li|Jinjie Gu|Jun Zhou
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2023

doi dblp
FINRule: Feature Interactive Neural Rule Learning.
Lu Yu|Meng Li|Ya-Lin Zhang|Longfei Li|Jun Zhou
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi dblp
Treatment Effect Estimation across Domains.
Yi-Xuan Sun|Ya-Lin Zhang|Wei Wang|Longfei Li|Jun Zhou
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi dblp
Alleviating Matching Bias in Marketing Recommendations.
Junpeng Fang|Qing Cui|Gongduo Zhang|Caizhi Tang|Lihong Gu|Longfei Li|Jinjie Gu|Jun Zhou|Fei Wu
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi dblp
TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation.
Jingyuan Li|Yue Zhang|Xuan Lin|Xinxing Yang|Ge Zhou|Longfei Li|Hong Chen|Jun Zhou
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi dblp
GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems.
Yankun Ren|Xinxing Yang|Xingyu Lu|Longfei Li|Jun Zhou|Jinjie Gu|Guannan Zhang
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi dblp
MDI: A Debiasing Method Combining Unbiased and Biased Data.
Han Zhao|Qing Cui|Xinyu Li|Rongzhou Bao|Longfei Li|Jun Zhou|Zhehao Liu|Jinghua Feng
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi dblp
A Framework for Detecting Frauds from Extremely Few Labels.
Ya-Lin Zhang|Yi-Xuan Sun|Fangfang Fan|Meng Li|Yeyu Zhao|Wei Wang|Longfei Li|Jun Zhou|Jinghua Feng
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.
doi dblp
A Practical Rule Learning Framework for Risk Management.
Jun Zhou|Meng Li|Lu Yu|Longfei Li|Fei Wu
Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
doi dblp
DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay.
Jun Zhou|Caizhi Tang|Qing Cui|Yi Ding|Longfei Li|Fei Wu
Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

doi dblp
A Biased Sampling Method for Imbalanced Personalized Ranking.
Lu Yu|Shichao Pei|Feng Zhu|Longfei Li|Jun Zhou|Chuxu Zhang|Xiangliang Zhang
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
doi dblp
Semi-Supervised Learning with Data Augmentation for Tabular Data.
Jun-Peng Fang|Caizhi Tang|Qing Cui|Feng Zhu|Longfei Li|Jun Zhou|Wei Zhu
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
doi dblp
An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset.
Meng Li|Lu Yu|Ya-Lin Zhang|Xiaoguang Huang|Qitao Shi|Qing Cui|Xinxing Yang|Longfei Li|Wei Zhu|Yanming Fang|Jun Zhou
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
doi dblp
MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection.
Lu Yu|Meng Li|Xiaoguang Huang|Wei Zhu|Yanming Fang|Jun Zhou|Longfei Li
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
doi dblp
MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data.
Yanchao Tan|Carl Yang|Xiangyu Wei|Chaochao Chen|Weiming Liu|Longfei Li|Jun Zhou|Xiaolin Zheng
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

2021

doi dblp
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction.
Kai Zhang|Hao Qian|Qing Cui|Qi Liu|Longfei Li|Jun Zhou|Jianhui Ma|Enhong Chen
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

2020

doi dblp
Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching.
Cen Chen|Ya-Lin Zhang|Minghui Qiu|Bingzhe Wu|Li Wang|Longfei Li|Jun Zhou
Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2019

doi dblp
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud.
Ya-Lin Zhang|Jun Zhou|Wenhao Zheng|Ji Feng|Longfei Li|Ziqi Liu|Ming Li|Zhiqiang Zhang|Chaochao Chen|Xiaolong Li|Yuan (Alan) Qi|Zhi-Hua Zhou
ACM Transactions on Intelligent Systems and Technology (TIST) 2019 Volume 10 Issue 5
doi dblp
Interpretable MTL from Heterogeneous Domains using Boosted Tree.
Ya-Lin Zhang|Longfei Li
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.

2018

doi dblp
Anomaly Detection with Partially Observed Anomalies.
Ya-Lin Zhang|Longfei Li|Jun Zhou|Xiaolong Li|Zhi-Hua Zhou
Companion Proceedings of the The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018

2017

doi dblp
Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems.
Cen Chen|Peilin Zhao|Longfei Li|Jun Zhou|Xiaolong Li|Minghui Qiu
Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017