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ORCIDYi Fang 0008
Person information
- affiliation: Santa Clara University, Department of Computer Science and Engineering, Santa Clara, CA, USA
- affiliation (PhD 2012): Purdue University, West Lafayette, IN, USA
Other persons with the same name
- Yi Fang — disambiguation page
- Yi Fang 0001 — New York University, Courant Institute of Mathematical Sciences, NY, USA
- Yi Fang 0002 — Xi'an Jiaotong University
- Yi Fang 0004
![[0000-0002-7264-7327]](/%20https://reactormag.com/five-https-dblp.org/img/orcid-mark.12x12.png "0000-0002-7264-7327")
— Jilin University and Business School, Center for Quantitative Economics, China - Yi Fang 0005 — Guangdong University of Technology, School of Information Engineering, Guangzhou, China (and 1 more)
- Yi Fang 0006 — New York University Abu Dhabi (NYU Abu Dhabi), Department of Electrical and Computer Engineering, NYU Multimedia and Visual Computing Laboratory, UAE (and 4 more)
- Yi Fang 0007 — Shantou University, Department of Electronic Engineering, Guangdong, China
- Yi Fang 0009 — Shanghai Jiao Tong University, Institute of Image Communication and Network Engineering, China
- Yi Fang 0010 — University of Science and Technology of China, Hefei, China
- Yi Fang 0011 — Virginia Tech, Department of Computer Science, Blacksburg, VA, USA
Other persons with a similar name
- Fang-Yi Chao
- Yifang Chen (aka: Yi-Fang Chen) — disambiguation page
- Yi-Ping Fang — University of Paris-Saclay, France
- Yi-Fang Lee
- Yi-Fang Lin
- Yifang Shi 0001 (aka: Yi-Fang Shi 0001, Yi Fang Shi 0001) — Hangzhou Dianzi University, School of Automation, China (and 1 more)
- Fang-Yi Su
- Felicia Fang-Yi Tan (aka: Felicia Tan 0002) — NUS-HCI Lab, Smart Systems Institute, School of Computing, National University of Singapore, Singapore
- Yi-fang Brook Wu (aka: Brook Wu, Yi-Fang Wu) — New Jersey Institute of Technology, Newark, USA
- Fang-Yi Yu — George Mason University, Fairfax, VA, USA (and 1 more)
- show all similar names
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2020 – today
- 2026
[c55]Jinming Nian, Fangchen Li, Dae Hoon Park, Yi Fang:
RankEvolve: Automating the Discovery of Retrieval Algorithms via LLM-Driven Evolution. SIGIR 2026: 4028-4033- [i31]Jinming Nian, Zhiyuan Peng, Hongwei Shang, Dae Hoon Park, Yi Fang:
Submodular Evaluation Subset Selection in Automatic Prompt Optimization. CoRR abs/2601.03493 (2026) - [i30]Hongxun Ding, Keqin Bao, Jizhi Zhang, Yi Fang, Wenxin Xu, Fuli Feng, Xiangnan He:
Towards Sample-Efficient and Stable Reinforcement Learning for LLM-based Recommendation. CoRR abs/2602.00632 (2026) - [i29]Jinming Nian, Fangchen Li, Dae Hoon Park, Yi Fang:
RankEvolve: Automating the Discovery of Retrieval Algorithms via LLM-Driven Evolution. CoRR abs/2602.16932 (2026) - 2025
- [j28]Xiaoxiao Shang, Zhiyuan Peng, Subramaniam Vincent, Yi Fang:
Fairness-Aware Race and Ethnicity Detection From Names. IEEE Access 13: 157365-157381 (2025) - [j27]Ting-Ruen Wei, Aileen Chang, Young Kang, Mahesh Patel, Yi Fang, Yuling Yan:
Multimodal deep learning for enhanced breast cancer diagnosis on sonography. Comput. Biol. Medicine 194: 110466 (2025) - [j26]Zhiyuan Peng, Behnoush Abdollahi, Min Xie, Yi Fang:
Semi-supervised named entity recognition with data augmentation by structured consistency training. Expert Syst. Appl. 281: 127464 (2025) - [j25]Zhiyuan Peng, Xuyang Wu, Qifan Wang, Yi Fang:
Soft prompt tuning for augmenting dense retrieval with large language models. Knowl. Based Syst. 309: 112758 (2025) - [j24]Cheng Fang, Xi Chen, Xiang Li, Yi Fang, Sihang Li, Shiqi Shao, Michele Samorani, Haibing Lu:
Strategic XFC Charging Station Placement in Equilibrium Traffic Networks. IEEE Trans. Intell. Transp. Syst. 26(4): 4865-4877 (2025) - [j23]Xuyang Wu, Ajit Puthenputhussery, Hongwei Shang, Changsung Kang, Yi Fang:
Meta-Learning to Rank for Sparsely Supervised Queries. ACM Trans. Inf. Syst. 43(1): 14:1-14:29 (2025) - [c54]Xuyang Wu, Shuowei Li, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang:
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems. COLING 2025: 10021-10036 - [c53]Xuyang Wu, Jinming Nian, Ting-Ruen Wei, Zhiqiang Tao, Hsin-Tai Wu, Yi Fang:
Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning. EMNLP (Findings) 2025: 18534-18555 - [c52]Xuyang Wu, Yuan Wang, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang:
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts. EMNLP (Findings) 2025: 22973-22991 - [c51]Jinming Nian, Zhiyuan Peng, Qifan Wang, Yi Fang:
W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering. ICTIR 2025: 136-146 - [c50]Zhiyuan Peng, Jinming Nian, Alexandre V. Evfimievski, Yi Fang:
ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions. SIGIR 2025: 3509-3519 - [c49]Haowei Liu, Xuyang Wu, Guohao Sun, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang:
RaCT: Ranking-aware Chain-of-Thought Optimization for LLMs. SIGIR-AP 2025: 178-188 - [i28]Subramaniam Vincent, Phoebe Wang, Zhan Shi, Sahas Koka, Yi Fang:
Measuring Large Language Models Capacity to Annotate Journalistic Sourcing. CoRR abs/2501.00164 (2025) - [i27]Ting-Ruen Wei, Yi Fang:
Diffusion Models in Recommendation Systems: A Survey. CoRR abs/2501.10548 (2025) - [i26]Ting-Ruen Wei, Haowei Liu, Xuyang Wu, Yi Fang:
A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics. CoRR abs/2502.14333 (2025) - [i25]Xuyang Wu, Jinming Nian, Zhiqiang Tao, Yi Fang:
Evaluating Social Biases in LLM Reasoning. CoRR abs/2502.15361 (2025) - [i24]Zhiyuan Peng, Ting-Ruen Wei, Tingyu Song, Yilun Zhao, Yi Fang:
Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers. CoRR abs/2507.06223 (2025) - 2024
- [j22]Yi Fang, Ashudeep Singh, Zhiqiang Tao:
Fairness in Search Systems. Found. Trends Inf. Retr. 18(3): 262-416 (2024) - [j21]Eyor Alemayehu, Yi Fang:
Supervised probabilistic latent semantic analysis with applications to controversy analysis of legislative bills. Intell. Data Anal. 28(1): 161-183 (2024) - [j20]Ting-Ruen Wei, Yuan Wang, Yoshitaka Inoue, Hsin-Tai Wu, Yi Fang:
Table Transformers for imputing textual attributes. Pattern Recognit. Lett. 186: 258-264 (2024) - [j19]Yuan Wang, Zhiqiang Tao, Yi Fang:
A Unified Meta-Learning Framework for Fair Ranking With Curriculum Learning. IEEE Trans. Knowl. Data Eng. 36(9): 4386-4397 (2024) - [c48]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. ECCV (65) 2024: 431-450 - [c47]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. EMNLP (Findings) 2024: 1491-1505 - [c46]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: 5712-5724 - [c45]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: 2271-2281 - [i23]Huei-Chung Hu, Xuyang Wu, Yuan Wang, Yi Fang, Hsin-Tai Wu:
Mathematical Foundation and Corrections for Full Range Head Pose Estimation. CoRR abs/2403.18104 (2024) - [i22]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 abs/2404.03192 (2024) - [i21]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 abs/2404.04522 (2024) - [i20]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 abs/2405.20654 (2024) - [i19]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 abs/2406.06839 (2024) - [i18]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 abs/2406.17974 (2024) - [i17]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 abs/2407.04208 (2024) - [i16]Ting-Ruen Wei, Yuan Wang, Yoshitaka Inoue, Hsin-Tai Wu, Yi Fang:
Table Transformers for Imputing Textual Attributes. CoRR abs/2408.02128 (2024) - [i15]Jinming Nian, Zhiyuan Peng, Qifan Wang, Yi Fang:
W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering. CoRR abs/2408.08444 (2024) - [i14]Ethan Lin, Zhiyuan Peng, Yi Fang:
Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publications. CoRR abs/2409.16605 (2024) - [i13]Xuyang Wu, Ajit Puthenputhussery, Hongwei Shang, Changsung Kang, Yi Fang:
Meta Learning to Rank for Sparsely Supervised Queries. CoRR abs/2409.19548 (2024) - [i12]Xuyang Wu, Shuowei Li, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang:
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems. CoRR abs/2409.19804 (2024) - [i11]Zhiyuan Peng, Jinming Nian, Alexandre V. Evfimievski, Yi Fang:
RAG-ConfusionQA: A Benchmark for Evaluating LLMs on Confusing Questions. CoRR abs/2410.14567 (2024) - [i10]Ting-Ruen Wei, Haowei Liu, Huei-Chung Hu, Xuyang Wu, Yi Fang, Hsin-Tai Wu:
CLERF: Contrastive LEaRning for Full Range Head Pose Estimation. CoRR abs/2412.02066 (2024) - [i9]Haowei Liu, Xuyang Wu, Guohao Sun, Zhiqiang Tao, Yi Fang:
ChainRank-DPO: Chain Rank Direct Preference Optimization for LLM Rankers. CoRR abs/2412.14405 (2024) - 2023
- [j18]Eyor Alemayehu, Yi Fang:
A Submodular Optimization Framework for Imbalanced Text Classification With Data Augmentation. IEEE Access 11: 41680-41696 (2023) - [c44]Zhiyuan Peng, Vachik S. 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: 4733-4742 - [c43]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: 5174-5183 - [c42]Xiaoxiao Shang, Ye Chen, Yi Fang, Yuhong Liu, Subramaniam Vincent:
AMICA: Alleviating Misinformation for Chinese Americans. SIGIR 2023: 3145-3149 - [i8]Zhiyuan Peng, Xuyang Wu, Yi Fang:
Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models. CoRR abs/2307.08303 (2023) - 2022
- [j17]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): 306-328 (2022) - [c41]Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin:
Fairness of Machine Learning in Search Engines. CIKM 2022: 5132-5135 - [c40]Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang:
Two-sided Rank Consistent Ordinal Regression for Interpretable Music Key Recommendation. ICTIR 2022: 223-231 - [c39]Yuan Wang, Zhiqiang Tao, Yi Fang:
A Meta-learning Approach to Fair Ranking. SIGIR 2022: 2539-2544 - [c38]Xiaoxiao Shang, Zhiyuan Peng, Qiming Yuan, Sabiq Khan, Lauren Xie, Yi Fang, Subramaniam Vincent:
DIANES: A DEI Audit Toolkit for News Sources. SIGIR 2022: 3312-3317 - [c37]Xuyang Wu, Alessandro Magnani, Suthee Chaidaroon, Ajit Puthenputhussery, Ciya Liao, Yi Fang:
A Multi-task Learning Framework for Product Ranking with BERT. WWW 2022: 493-501 - [c36]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: 1053-1062 - [c35]Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu:
WebFormer: The Web-page Transformer for Structure Information Extraction. WWW 2022: 3124-3133 - [i7]Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu:
WebFormer: The Web-page Transformer for Structure Information Extraction. CoRR abs/2202.00217 (2022) - [i6]Xuyang Wu, Alessandro Magnani, Suthee Chaidaroon, Ajit Puthenputhussery, Ciya Liao, Yi Fang:
A Multi-task Learning Framework for Product Ranking with BERT. CoRR abs/2202.05317 (2022) - [i5]Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu:
Deep Partial Multiplex Network Embedding. CoRR abs/2203.02656 (2022) - [i4]Xiaoxiao Shang, Zhiyuan Peng, Qiming Yuan, Sabiq Khan, Lauren Xie, Yi Fang, Subramaniam Vincent:
DIANES: A DEI Audit Toolkit for News Sources. CoRR abs/2203.11383 (2022) - 2021
- [c34]Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang:
Karaoke Key Recommendation Via Personalized Competence-Based Rating Prediction. ICASSP 2021: 286-290 - [c33]Zhiyuan Peng, Behnoush Abdollahi, Min Xie, Yi Fang:
Multi-label Classification of Short Texts with Label Correlated Recurrent Neural Networks. ICTIR 2021: 119-122 - [c32]Haibing Lu, Xi Chen, Jiangpeng Dai, Bin Wu, Yi Fang, Michele Samorani, Zhen Li:
Game Theoretic Approach to Extreme Fast Charging Location. ISCAS 2021: 1-5 - 2020
- [j16]Suthee Chaidaroon, Dae Hoon Park, Yi Chang, Yi Fang:
node2hash: Graph aware deep semantic text hashing. Inf. Process. Manag. 57(6): 102143 (2020) - [c31]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: 1273-1282 - [i3]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 abs/2011.03158 (2020)
2010 – 2019
- 2019
- [j15]Miao Jiang, Yi Fang, Huangming Xie, Jike Chong, Meng Meng:
User click prediction for personalized job recommendation. World Wide Web 22(1): 325-345 (2019) - [c30]Suthee Chaidaroon, Yi Fang, Min Xie, Alessandro Magnani:
Neural Compatibility Ranking for Text-based Fashion Matching. SIGIR 2019: 1229-1232 - [e1]Yi Fang, Yi Zhang, James Allan, Krisztian Balog, Ben Carterette, Jiafeng Guo:
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019. ACM 2019, ISBN 978-1-4503-6881-0 [contents] - 2018
- [j14]Haibing Lu, Wendong Zhu, Joseph Phan, Manoochehr Ghiassi, Yi Fang, Yuan Hong, Xiaoyun He:
Fault-tolerant tile mining. Expert Syst. Appl. 101: 25-42 (2018) - [c29]Yogesh Jhamb, Travis Ebesu, Yi Fang:
Attentive Contextual Denoising Autoencoder for Recommendation. ICTIR 2018: 27-34 - [c28]Travis Ebesu, Bin Shen, Yi Fang:
Collaborative Memory Network for Recommendation Systems. SIGIR 2018: 515-524 - [c27]Suthee Chaidaroon, Travis Ebesu, Yi Fang:
Deep Semantic Text Hashing with Weak Supervision. SIGIR 2018: 1109-1112 - [i2]Travis Ebesu, Bin Shen, Yi Fang:
Collaborative Memory Network for Recommendation Systems. CoRR abs/1804.10862 (2018) - 2017
- [j13]Yogesh Jhamb, Yi Fang:
A dual-perspective latent factor model for group-aware social event recommendation. Inf. Process. Manag. 53(3): 559-576 (2017) - [j12]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): 81-108 (2017) - [j11]Travis Ebesu, Yi Fang:
Neural Semantic Personalized Ranking for item cold-start recommendation. Inf. Retr. J. 20(2): 109-131 (2017) - [j10]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): 575-605 (2017) - [j9]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): 18:1-18:36 (2017) - [c26]Suthee Chaidaroon, Yi Fang:
Variational Deep Semantic Hashing for Text Documents. SIGIR 2017: 75-84 - [c25]Travis Ebesu, Yi Fang:
Neural Citation Network for Context-Aware Citation Recommendation. SIGIR 2017: 1093-1096 - [i1]Suthee Chaidaroon, Yi Fang:
Variational Deep Semantic Hashing for Text Documents. CoRR abs/1708.03436 (2017) - 2016
- [c24]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: 959-968 - [c23]Yi Fang, Maarten de Rijke, Huangming Xie:
DDTA 2016: The Workshop on Data-Driven Talent Acquisition. CIKM 2016: 2507-2508 - [c22]Yi Fang, Mengwen Liu:
A Unified Energy-based Framework for Learning to Rank. ICTIR 2016: 171-180 - [c21]Yi Fang, Archana Godavarthy, Haibing Lu:
A Utility Maximization Framework for Privacy Preservation of User Generated Content. ICTIR 2016: 281-290 - [c20]Archana Godavarthy, Yi Fang:
Cross-Language Microblog Retrieval using Latent Semantic Modeling. ICTIR 2016: 303-306 - [c19]Mengwen Liu, Yi Fang, Dae Hoon Park, Xiaohua Hu, Zhengtao Yu:
Retrieving Non-Redundant Questions to Summarize a Product Review. SIGIR 2016: 385-394 - 2015
- [j8]Yi Fang, Luo Si:
Related entity finding by unified probabilistic models. World Wide Web 18(3): 521-543 (2015) - [c18]Bin Shen, Bao-Di Liu, Qifan Wang, Yi Fang, Jan P. Allebach:
SP-SVM: Large Margin Classifier for Data on Multiple Manifolds. AAAI 2015: 2965-2971 - 2014
- [j7]Yi Fang, Ziad Al Bawab, Jean-François Crespo:
Collaborative Language Models for Localized Query Prediction. ACM Trans. Interact. Intell. Syst. 4(2): 9:1-9:21 (2014) - [c17]Haibing Lu, Yuan Hong, Yanjiang Yang, Yi Fang, Lian Duan:
Dynamic Workflow Adjustment with Security Constraints. DBSec 2014: 211-226 - [c16]Yi Fang, Archana Godavarthy:
Modeling the dynamics of personal expertise. SIGIR 2014: 1107-1110 - [c15]Avinash Kumar, Miao Jiang, Yi Fang:
Where not to go?: detecting road hazards using twitter. SIGIR 2014: 1223-1226 - 2013
- [c14]Juan Hu, Yi Fang, Archana Godavarthy:
Topical authority propagation on microblogs. CIKM 2013: 1901-1904 - [c13]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 - 2012
- [b1]Yi Fang:
Probabilistic approaches to entity retrieval. Purdue University, USA, 2012 - [j6]Krisztian Balog, Yi Fang, Maarten de Rijke, Pavel Serdyukov, Luo Si:
Expertise Retrieval. Found. Trends Inf. Retr. 6(2-3): 127-256 (2012) - [c12]Yi Fang, Luo Si:
A latent pairwise preference learning approach for recommendation from implicit feedback. CIKM 2012: 2567-2570 - [c11]Ying Zhang, Yi Fang, Xiaojun Quan, Lin Dai, Luo Si, Xiaojie Yuan:
Emotion tagging for comments of online news by meta classification with heterogeneous information sources. SIGIR 2012: 1059-1060 - [c10]Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu:
Mining contrastive opinions on political texts using cross-perspective topic model. WSDM 2012: 63-72 - 2011
- [j5]Yi Fang, Jong In Park, Young-Seon Jeong, Myong K. Jeong, Seung H. Baek, Hyun-Woo Cho:
Enhanced predictions of wood properties using hybrid models of PCR and PLS with high-dimensional NIR spectral data. Ann. Oper. Res. 190(1): 3-15 (2011) - [j4]Yi Fang, Luo Si, Aditya P. Mathur:
Discriminative probabilistic models for expert search in heterogeneous information sources. Inf. Retr. 14(2): 158-177 (2011) - [c9]Yi Fang, Luo Si:
Matrix co-factorization for recommendation with rich side information and implicit feedback. HetRec@RecSys 2011: 65-69 - [c8]Yi Fang, Naveen Somasundaram, Luo Si, Jeongwoo Ko, Aditya P. Mathur:
Analysis of an expert search query log. SIGIR 2011: 1189-1190 - [c7]Suleyman Cetintas, Monica Rogati, Luo Si, Yi Fang:
Identifying similar people in professional social networks with discriminative probabilistic models. SIGIR 2011: 1209-1210 - 2010
- [j3]Yi Fang, Luo Si, Aditya P. Mathur:
Discriminative graphical models for faculty homepage discovery. Inf. Retr. 13(6): 618-635 (2010) - [c6]Yi Fang, Luo Si, Aditya P. Mathur:
Discriminative models of integrating document evidence and document-candidate associations for expert search. SIGIR 2010: 683-690 - [c5]Yi Fang, Luo Si, Naveen Somasundaram, Salman Al-Ansari, Zhengtao Yu, Yantuan Xian:
Purdue at TREC 2010 Entity Track: A Probabilistic Framework for Matching Types Between Candidate and Target Entities. TREC 2010
2000 – 2009
- 2009
- [c4]Yi Fang, Luo Si, Zhengtao Yu, Yantuan Xian, Yangbo Xu:
Entity Retrieval with Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers. TREC 2009 - 2008
- [j2]Luo Si, Danni Yu, Daisuke Kihara, Yi Fang:
Combining gene sequence similarity and textual information for gene function annotation in the literature. Inf. Retr. 11(5): 389-404 (2008) - [j1]Yi Fang, Myong K. Jeong:
Robust Probabilistic Multivariate Calibration Model. Technometrics 50(3): 305-316 (2008) - [c3]Yi Fang, Olufemi A. Omitaomu, Auroop R. Ganguly:
Incremental Anomaly Detection Approach for Characterizing Unusual Profiles. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 190-202 - 2006
- [c2]Yi Fang, Auroop R. Ganguly, Nagendra Singh, Veeraraghavan Vijayaraj, Neal Feierabend, David T. Potere:
Online change detection: Monitoring land cover from remotely sensed data. ICDM Workshops 2006: 626-631 - [c1]Yi Fang, Hyun-Woo Cho, Myong Kee Jeong:
Health monitoring of a shaft transmission system via hybrid models of PCR and PLS. SDM 2006: 554-558
Coauthor Index
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OpenAlex data
Load additional information about publications from 
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last updated on 2026-07-30 23:19 CEST by the dblp team
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