Emotion tagging for comments of online news by meta classification with heterogeneous information sources. - Ying Zhang 015; Yi Fang 008; Xiaojun Quan; Lin Dai; Luo Si; Xiaojie Yuan (SIGIR, 2012)

Topical authority propagation on microblogs. - Juan Hu; Yi Fang 008; Archana Godavarthy (CIKM, 2013)

A Pattern Matching Approach to Streaming Slot Filling. - Hung Nguyen; Yi Fang 008; Sandhya Gade; Vijay Mysore; Juan Hu; Sabita Pandit; Aparna Srinivasan; Miao Jiang 004 (TREC, 2013)

Dynamic Workflow Adjustment with Security Constraints. - Haibing Lu; Yuan Hong 001; Yanjiang Yang; Yi Fang 008; Lian Duan (DBSec, 2014)

Modeling the dynamics of personal expertise. - Yi Fang 008; Archana Godavarthy (SIGIR, 2014)

Where not to go?: detecting road hazards using twitter. - Avinash Kumar; Miao Jiang 004; Yi Fang 008 (SIGIR, 2014)

Collaborative Language Models for Localized Query Prediction. - Yi Fang 008; Ziad Al Bawab; Jean-François Crespo (ACM Trans. Interact. Intell. Syst., 2014)

SP-SVM: Large Margin Classifier for Data on Multiple Manifolds. - Bin Shen 002; Bao-Di Liu; Qifan Wang 001; Yi Fang 008; Jan P. Allebach (AAAI, 2015)

Related entity finding by unified probabilistic models. - Yi Fang 008; Luo Si (World Wide Web, 2015)

DDTA 2016: The Workshop on Data-Driven Talent Acquisition. - Yi Fang 008; Maarten de Rijke; Huangming Xie (CIKM, 2016)

Mobile App Retrieval for Social Media Users via Inference of Implicit Intent in Social Media Text. - Dae Hoon Park; Yi Fang 008; Mengwen Liu; ChengXiang Zhai (CIKM, 2016)

A Utility Maximization Framework for Privacy Preservation of User Generated Content. - Yi Fang 008; Archana Godavarthy; Haibing Lu (ICTIR, 2016)

A Unified Energy-based Framework for Learning to Rank. - Yi Fang 008; Mengwen Liu (ICTIR, 2016)

Cross-Language Microblog Retrieval using Latent Semantic Modeling. - Archana Godavarthy; Yi Fang 008 (ICTIR, 2016)

Retrieving Non-Redundant Questions to Summarize a Product Review. - Mengwen Liu; Yi Fang 008; Dae Hoon Park; Xiaohua Hu 001; Zhengtao Yu 001 (SIGIR, 2016)

Variational Deep Semantic Hashing for Text Documents. - Suthee Chaidaroon; Yi Fang 008 (SIGIR, 2017)

Neural Citation Network for Context-Aware Citation Recommendation. - Travis Ebesu; Yi Fang 008 (SIGIR, 2017)

A dual-perspective latent factor model for group-aware social event recommendation. - Yogesh Jhamb; Yi Fang 008 (Inf. Process. Manag., 2017)

Neural Semantic Personalized Ranking for item cold-start recommendation. - Travis Ebesu; Yi Fang 008 (Inf. Retr. J., 2017)

Which used product is more sellable? A time-aware approach. - Mengwen Liu; Wanying Ding; Dae Hoon Park; Yi Fang 008; Rui Yan 001; Xiaohua Hu 001 (Inf. Retr. J., 2017)

Product review summarization through question retrieval and diversification. - Mengwen Liu; Yi Fang 008; Alexander G. Choulos; Dae Hoon Park; Xiaohua Hu 001 (Inf. Retr. J., 2017)

Cost-Effective Online Trending Topic Detection and Popularity Prediction in Microblogging. - Zhongchen Miao; Kai Chen 006; Yi Fang 008; Jianhua He; Yi Zhou 003; Wenjun Zhang 001; Hongyuan Zha (ACM Trans. Inf. Syst., 2017)

Attentive Contextual Denoising Autoencoder for Recommendation. - Yogesh Jhamb; Travis Ebesu; Yi Fang 008 (ICTIR, 2018)

Deep Semantic Text Hashing with Weak Supervision. - Suthee Chaidaroon; Travis Ebesu; Yi Fang 008 (SIGIR, 2018)

Collaborative Memory Network for Recommendation Systems. - Travis Ebesu; Bin Shen 002; Yi Fang 008 (SIGIR, 2018)

Fault-tolerant tile mining. - Haibing Lu; Wendong Zhu; Joseph Phan; Manoochehr Ghiassi; Yi Fang 008; Yuan Hong 001; Xiaoyun He (Expert Syst. Appl., 2018)

Neural Compatibility Ranking for Text-based Fashion Matching. - Suthee Chaidaroon; Yi Fang 008; Min Xie 002; Alessandro Magnani (SIGIR, 2019)

User click prediction for personalized job recommendation. - Miao Jiang 004; Yi Fang 008; Huangming Xie; Jike Chong; Meng Meng (World Wide Web, 2019)

Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services. - Yuan Wang 076; Chenwei Wang 001; Yinan Ling; Keita Yokoyama; Hsin-Tai Wu; Yi Fang 008 (IEEE BigData, 2020)

node2hash: Graph aware deep semantic text hashing. - Suthee Chaidaroon; Dae Hoon Park; Yi Chang 001; Yi Fang 008 (Inf. Process. Manag., 2020)

Karaoke Key Recommendation Via Personalized Competence-Based Rating Prediction. - Yuan Wang 076; Shigeki Tanaka; Keita Yokoyama; Hsin-Tai Wu; Yi Fang 008 (ICASSP, 2021)

Multi-label Classification of Short Texts with Label Correlated Recurrent Neural Networks. - Zhiyuan Peng 001; Behnoush Abdollahi; Min Xie 002; Yi Fang 008 (ICTIR, 2021)

Game Theoretic Approach to Extreme Fast Charging Location. - Haibing Lu; Xi Chen 014; Jiangpeng Dai; Bin Wu; Yi Fang 008; Michele Samorani; Zhen Li 004 (ISCAS, 2021)

Fairness of Machine Learning in Search Engines. - Yi Fang 008; Hongfu Liu 001; Zhiqiang Tao; Mikhail Yurochkin (CIKM, 2022)

Two-sided Rank Consistent Ordinal Regression for Interpretable Music Key Recommendation. - Yuan Wang 076; Shigeki Tanaka; Keita Yokoyama; Hsin-Tai Wu; Yi Fang 008 (ICTIR, 2022)

DIANES: A DEI Audit Toolkit for News Sources. - Xiaoxiao Shang; Zhiyuan Peng 001; Qiming Yuan; Sabiq Khan; Lauren Xie; Yi Fang 008; Subramaniam Vincent (SIGIR, 2022)

A Meta-learning Approach to Fair Ranking. - Yuan Wang 076; Zhiqiang Tao; Yi Fang 008 (SIGIR, 2022)

WebFormer: The Web-page Transformer for Structure Information Extraction. - Qifan Wang 001; Yi Fang 008; Anirudh Ravula; Fuli Feng; Xiaojun Quan; Dongfang Liu (WWW, 2022)

Deep Partial Multiplex Network Embedding. - Qifan Wang 001; Yi Fang 008; Anirudh Ravula; Ruining He; Bin Shen 002; Jingang Wang; Xiaojun Quan; Dongfang Liu (WWW (Companion Volume), 2022)

A Multi-task Learning Framework for Product Ranking with BERT. - Xuyang Wu 002; Alessandro Magnani; Suthee Chaidaroon; Ajit Puthenputhussery; Ciya Liao; Yi Fang 008 (WWW, 2022)

Learning user preferences through online conversations via personalized memory transfer. - Nagaarchana Godavarthy; Yuan Wang 076; Travis Ebesu; Un Suthee; Min Xie 002; Yi Fang 008 (Inf. Retr. J., 2022)

Entity-aware Multi-task Learning for Query Understanding at Walmart. - Zhiyuan Peng 001; Vachik S. Dave; Nicole McNabb; Rahul Sharnagat; Alessandro Magnani; Ciya Liao; Yi Fang 008; Sravanthi Rajanala (KDD, 2023)

An Empirical Study of Selection Bias in Pinterest Ads Retrieval. - Yuan Wang 076; Peifeng Yin; Zhiqiang Tao; Hari Venkatesan; Jin Lai; Yi Fang 008; PJ Xiao (KDD, 2023)

AMICA: Alleviating Misinformation for Chinese Americans. - Xiaoxiao Shang; Ye Chen; Yi Fang 008; Yuhong Liu; Subramaniam Vincent (SIGIR, 2023)

A Submodular Optimization Framework for Imbalanced Text Classification With Data Augmentation. - Eyor Alemayehu; Yi Fang 008 (IEEE Access, 2023)

Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models. - Zhiyuan Peng 001; Xuyang Wu 002; Yi Fang 008 (CoRR, 2023)

AMD: Automatic Multi-step Distillation of Large-Scale Vision Models. - Cheng Han 001; Qifan Wang 001; Sohail A. Dianat; Majid Rabbani; Raghuveer M. Rao; Yi Fang 008; Qiang Guan; Lifu Huang; Dongfang Liu (ECCV (65), 2024)

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. - Li Yang; Qifan Wang 001; Jianfeng Chi; Jiahao Liu; Jingang Wang; Fuli Feng; Zenglin Xu; Yi Fang 008; Lifu Huang; Dongfang Liu (EMNLP (Findings), 2024)

Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers. - Yuan Wang 076; Xuyang Wu 002; Hsin-Tai Wu; Zhiqiang Tao; Yi Fang 008 (NAACL-HLT, 2024)

Aligning Out-of-Distribution Web Images and Caption Semantics via Evidential Learning. - Guohao Sun; Yue Bai; Xueying Yang; Yi Fang 008; Yun Fu 001; Zhiqiang Tao (WWW, 2024)

Mathematical Foundation and Corrections for Full Range Head Pose Estimation. - Huei-Chung Hu; Xuyang Wu 002; Yuan Wang 076; Yi Fang 008; Hsin-Tai Wu (CoRR, 2024)

Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models. - Zhiyuan Peng 001; Xuyang Wu 002; Qifan Wang 001; Sravanthi Rajanala; Yi Fang 008 (CoRR, 2024)

Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models. - Xuyang Wu 002; Zhiyuan Peng 001; Sravanthi Rajanala; Hsin-Tai Wu; Yi Fang 008 (CoRR, 2024)

Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts. - Xuyang Wu 002; Yuan Wang 076; Hsin-Tai Wu; Zhiqiang Tao; Yi Fang 008 (CoRR, 2024)

W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering. - Jinming Nian; Zhiyuan Peng 001; Qifan Wang 001; Yi Fang 008 (CoRR, 2024)

RAG-ConfusionQA: A Benchmark for Evaluating LLMs on Confusing Questions. - Zhiyuan Peng 001; Jinming Nian; Alexandre V. Evfimievski; Yi Fang 008 (CoRR, 2024)

CLERF: Contrastive LEaRning for Full Range Head Pose Estimation. - Ting-Ruen Wei; Haowei Liu; Huei-Chung Hu; Xuyang Wu 002; Yi Fang 008; Hsin-Tai Wu (CoRR, 2024)

ChainRank-DPO: Chain Rank Direct Preference Optimization for LLM Rankers. - Haowei Liu; Xuyang Wu 002; Guohao Sun; Zhiqiang Tao; Yi Fang 008 (CoRR, 2024)

Supervised probabilistic latent semantic analysis with applications to controversy analysis of legislative bills. - Eyor Alemayehu; Yi Fang 008 (Intell. Data Anal., 2024)

Table Transformers for imputing textual attributes. - Ting-Ruen Wei; Yuan Wang 076; Yoshitaka Inoue; Hsin-Tai Wu; Yi Fang 008 (Pattern Recognit. Lett., 2024)

A Unified Meta-Learning Framework for Fair Ranking With Curriculum Learning. - Yuan Wang 076; Zhiqiang Tao; Yi Fang 008 (IEEE Trans. Knowl. Data Eng., 2024)

Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems. - Xuyang Wu 002; Shuowei Li; Hsin-Tai Wu; Zhiqiang Tao; Yi Fang 008 (COLING, 2025)

Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs. - Yi Fang 008; Moxin Li; Wenjie Wang 007; Lin Hui; Fuli Feng (COLING, 2025)

ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions. - Zhiyuan Peng 001; Jinming Nian; Alexandre V. Evfimievski; Yi Fang 008 (SIGIR, 2025)

Semi-supervised named entity recognition with data augmentation by structured consistency training. - Zhiyuan Peng 001; Behnoush Abdollahi; Min Xie 002; Yi Fang 008 (Expert Syst. Appl., 2025)

Soft prompt tuning for augmenting dense retrieval with large language models. - Zhiyuan Peng 001; Xuyang Wu 002; Qifan Wang 001; Yi Fang 008 (Knowl. Based Syst., 2025)

Measuring Large Language Models Capacity to Annotate Journalistic Sourcing. - Subramaniam Vincent; Phoebe Wang; Zhan Shi; Sahas Koka; Yi Fang 008 (CoRR, 2025)

Meta-Learning to Rank for Sparsely Supervised Queries. - Xuyang Wu 002; Ajit Puthenputhussery; Hongwei Shang; Changsung Kang; Yi Fang 008 (ACM Trans. Inf. Syst., 2025)

Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment. - Yi Fang 008; Wenjie Wang 007; Yang Zhang 072; Fengbin Zhu; Qifan Wang 001; Fuli Feng; Xiangnan He 001 (CoRR, 2025)

A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics. - Ting-Ruen Wei; Haowei Liu; Xuyang Wu 002; Yi Fang 008 (CoRR, 2025)

Evaluating Social Biases in LLM Reasoning. - Xuyang Wu 002; Jinming Nian; Zhiqiang Tao; Yi Fang 008 (CoRR, 2025)

Strategic XFC Charging Station Placement in Equilibrium Traffic Networks. - Cheng Fang; Xi Chen 014; Xiang Li 016; Yi Fang 008; Sihang Li; Shiqi Shao; Michele Samorani; Haibing Lu (IEEE Trans. Intell. Transp. Syst., 2025)