Yi Fang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 55

Top Topics

Personalized Ranking

Utility Maximization

Semantic Modeling

Top Venues

Publications

Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. CoRR (2024)
Guohao Sun, Yue Bai, Xueying Yang, Yi Fang, Yun Fu, Zhiqiang Tao
Aligning Out-of-Distribution Web Images and Caption Semantics via Evidential Learning. WWW (2024)
Eyor Alemayehu, Yi Fang
Supervised probabilistic latent semantic analysis with applications to controversy analysis of legislative bills. Intell. Data Anal. 28 (1) (2024)
Yuan Wang, Xuyang Wu, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers. NAACL-HLT (2024)
Yuan Wang, Zhiqiang Tao, Yi Fang
A Unified Meta-Learning Framework for Fair Ranking With Curriculum Learning. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Xuyang Wu, Zhiyuan Peng, Sravanthi Rajanala, Hsin-Tai Wu, Yi Fang
Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models. CoRR (2024)
Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu
AMD: Automatic Multi-step Distillation of Large-scale Vision Models. CoRR (2024)
Huei-Chung Hu, Xuyang Wu, Yuan Wang, Yi Fang, Hsin-Tai Wu
Mathematical Foundation and Corrections for Full Range Head Pose Estimation. CoRR (2024)
Xuyang Wu, Yuan Wang, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts. CoRR (2024)
Yuan Wang, Xuyang Wu, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers. CoRR (2024)
Yi Fang, Moxin Li, Wenjie Wang, Hui Lin, Fuli Feng
Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs. CoRR (2024)
Zhiyuan Peng, Xuyang Wu, Qifan Wang, Sravanthi Rajanala, Yi Fang
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models. CoRR (2024)
Zhiyuan Peng, Vachik Dave, Nicole McNabb, Rahul Sharnagat, Alessandro Magnani, Ciya Liao, Yi Fang, Sravanthi Rajanala
Entity-aware Multi-task Learning for Query Understanding at Walmart. KDD (2023)
Yuan Wang, Peifeng Yin, Zhiqiang Tao, Hari Venkatesan, Jin Lai, Yi Fang, PJ Xiao
An Empirical Study of Selection Bias in Pinterest Ads Retrieval. KDD (2023)
Eyor Alemayehu, Yi Fang
A Submodular Optimization Framework for Imbalanced Text Classification With Data Augmentation. IEEE Access 11 (2023)
Xiaoxiao Shang, Ye Chen, Yi Fang, Yuhong Liu, Subramaniam Vincent
AMICA: Alleviating Misinformation for Chinese Americans. SIGIR (2023)
Zhiyuan Peng, Xuyang Wu, Yi Fang
Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models. CoRR (2023)
Xuyang Wu, Alessandro Magnani, Suthee Chaidaroon, Ajit Puthenputhussery, Ciya Liao, Yi Fang
A Multi-task Learning Framework for Product Ranking with BERT. CoRR (2022)
Xuyang Wu, Alessandro Magnani, Suthee Chaidaroon, Ajit Puthenputhussery, Ciya Liao, Yi Fang
A Multi-task Learning Framework for Product Ranking with BERT. WWW (2022)
Xiaoxiao Shang, Zhiyuan Peng, Qiming Yuan, Sabiq Khan, Lauren Xie, Yi Fang, Subramaniam Vincent
DIANES: A DEI Audit Toolkit for News Sources. SIGIR (2022)
Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin
Fairness of Machine Learning in Search Engines. CIKM (2022)
Xiaoxiao Shang, Zhiyuan Peng, Qiming Yuan, Sabiq Khan, Lauren Xie, Yi Fang, Subramaniam Vincent
DIANES: A DEI Audit Toolkit for News Sources. CoRR (2022)
Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu
Deep Partial Multiplex Network Embedding. WWW (Companion Volume) (2022)
Yuan Wang, Zhiqiang Tao, Yi Fang
A Meta-learning Approach to Fair Ranking. SIGIR (2022)
Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu
WebFormer: The Web-page Transformer for Structure Information Extraction. WWW (2022)
Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu
WebFormer: The Web-page Transformer for Structure Information Extraction. CoRR (2022)
Nagaarchana Godavarthy, Yuan Wang, Travis Ebesu, Un Suthee, Min Xie, Yi Fang
Learning user preferences through online conversations via personalized memory transfer. Inf. Retr. J. 25 (3) (2022)
Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu
Deep Partial Multiplex Network Embedding. CoRR (2022)
Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang
Two-sided Rank Consistent Ordinal Regression for Interpretable Music Key Recommendation. ICTIR (2022)
Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang
Karaoke Key Recommendation Via Personalized Competence-Based Rating Prediction. ICASSP (2021)
Zhiyuan Peng, Behnoush Abdollahi, Min Xie, Yi Fang
Multi-label Classification of Short Texts with Label Correlated Recurrent Neural Networks. ICTIR (2021)
Yuan Wang, Chenwei Wang, Yinan Ling, Keita Yokoyama, Hsin-Tai Wu, Yi Fang
Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services. CoRR (2020)
Yuan Wang, Chenwei Wang, Yinan Ling, Keita Yokoyama, Hsin-Tai Wu, Yi Fang
Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services. IEEE BigData (2020)
Suthee Chaidaroon, Dae Hoon Park, Yi Chang, Yi Fang
node2hash: Graph aware deep semantic text hashing. Inf. Process. Manag. 57 (6) (2020)
Miao Jiang, Yi Fang, Huangming Xie, Jike Chong, Meng Meng
User click prediction for personalized job recommendation. World Wide Web 22 (1) (2019)
Suthee Chaidaroon, Yi Fang, Min Xie, Alessandro Magnani
Neural Compatibility Ranking for Text-based Fashion Matching. SIGIR (2019)
Haibing Lu, Wendong Zhu, Joseph Phan, Manoochehr Ghiassi, Yi Fang, Yuan Hong, Xiaoyun He
Fault-tolerant tile mining. Expert Syst. Appl. 101 (2018)
Suthee Chaidaroon, Travis Ebesu, Yi Fang
Deep Semantic Text Hashing with Weak Supervision. SIGIR (2018)
Travis Ebesu, Bin Shen, Yi Fang
Collaborative Memory Network for Recommendation Systems. CoRR (2018)
Travis Ebesu, Bin Shen, Yi Fang
Collaborative Memory Network for Recommendation Systems. SIGIR (2018)
Yogesh Jhamb, Travis Ebesu, Yi Fang
Attentive Contextual Denoising Autoencoder for Recommendation. ICTIR (2018)
Mengwen Liu, Wanying Ding, Dae Hoon Park, Yi Fang, Rui Yan, Xiaohua Hu
Which used product is more sellable? A time-aware approach. Inf. Retr. J. 20 (2) (2017)
Travis Ebesu, Yi Fang
Neural Citation Network for Context-Aware Citation Recommendation. SIGIR (2017)
Travis Ebesu, Yi Fang
Neural Semantic Personalized Ranking for item cold-start recommendation. Inf. Retr. J. 20 (2) (2017)
Mengwen Liu, Yi Fang, Alexander G. Choulos, Dae Hoon Park, Xiaohua Hu
Product review summarization through question retrieval and diversification. Inf. Retr. J. 20 (6) (2017)
Suthee Chaidaroon, Yi Fang
Variational Deep Semantic Hashing for Text Documents. SIGIR (2017)
Suthee Chaidaroon, Yi Fang
Variational Deep Semantic Hashing for Text Documents. CoRR (2017)
Zhongchen Miao, Kai Chen, Yi Fang, Jianhua He, Yi Zhou, Wenjun Zhang, Hongyuan Zha
Cost-Effective Online Trending Topic Detection and Popularity Prediction in Microblogging. ACM Trans. Inf. Syst. 35 (3) (2017)
Yogesh Jhamb, Yi Fang
A dual-perspective latent factor model for group-aware social event recommendation. Inf. Process. Manag. 53 (3) (2017)
Dae Hoon Park, Yi Fang, Mengwen Liu, ChengXiang Zhai
Mobile App Retrieval for Social Media Users via Inference of Implicit Intent in Social Media Text. CIKM (2016)
Archana Godavarthy, Yi Fang
Cross-Language Microblog Retrieval using Latent Semantic Modeling. ICTIR (2016)
Yi Fang, Mengwen Liu
A Unified Energy-based Framework for Learning to Rank. ICTIR (2016)
Yi Fang, Archana Godavarthy, Haibing Lu
A Utility Maximization Framework for Privacy Preservation of User Generated Content. ICTIR (2016)
Yi Fang, Maarten de Rijke, Huangming Xie
DDTA 2016: The Workshop on Data-Driven Talent Acquisition. CIKM (2016)
Mengwen Liu, Yi Fang, Dae Hoon Park, Xiaohua Hu, Zhengtao Yu
Retrieving Non-Redundant Questions to Summarize a Product Review. SIGIR (2016)
Bin Shen, Bao-Di Liu, Qifan Wang, Yi Fang, Jan P. Allebach
SP-SVM: Large Margin Classifier for Data on Multiple Manifolds. AAAI (2015)
Yi Fang, Luo Si
Related entity finding by unified probabilistic models. World Wide Web 18 (3) (2015)
Yi Fang, Archana Godavarthy
Modeling the dynamics of personal expertise. SIGIR (2014)
Haibing Lu, Yuan Hong, Yanjiang Yang, Yi Fang, Lian Duan
Dynamic Workflow Adjustment with Security Constraints. DBSec (2014)
Yi Fang, Ziad Al Bawab, Jean-François Crespo
Collaborative Language Models for Localized Query Prediction. ACM Trans. Interact. Intell. Syst. 4 (2) (2014)
Avinash Kumar, Miao Jiang, Yi Fang
Where not to go?: detecting road hazards using twitter. SIGIR (2014)
Juan Hu, Yi Fang, Archana Godavarthy
Topical authority propagation on microblogs. CIKM (2013)
Hung Nguyen, Yi Fang, Sandhya Gade, Vijay Mysore, Juan Hu, Sabita Pandit, Aparna Srinivasan, Miao Jiang
A Pattern Matching Approach to Streaming Slot Filling. TREC (2013)