Hsiang-Fu Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
17
Active years
2002–2024
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ACL | MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. | Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang |
| 2024 | WWW | Entity Disambiguation with Extreme Multi-label Ranking. | Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu |
| 2024 | WSDM | PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models. | Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan |
| 2023 | CIKM | Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search. | Jiong Zhang, Yau-Shian Wang, Wei-Cheng Chang, Wei Li, Jyun-Yu Jiang, Cho-Jui Hsieh, Hsiang-Fu Yu |
| 2023 | ICML | PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. | Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu |
| 2023 | ICML | Representer Point Selection for Explaining Regularized High-dimensional Models. | Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar |
| 2023 | WWW | FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. | Patrick H. Chen, Wei-Cheng Chang, Jyun-Yu Jiang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh |
| 2023 | SIGIR | Uncertainty Quantification for Extreme Classification. | Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu |
| 2022 | ICLR | Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. | Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon |
| 2022 | KDD | PECOS: Prediction for Enormous and Correlated Output Spaces. | Hsiang-Fu Yu, Jiong Zhang, Wei-Cheng Chang, Jyun-Yu Jiang, Wei Li, Cho-Jui Hsieh |
| 2022 | NAACL | Extreme Zero-Shot Learning for Extreme Text Classification. | Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon |
| 2022 | WWW | Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees. | Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon |
| 2022 | SIGIR | Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification. | Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu |
| 2021 | KDD | Extreme Multi-label Learning for Semantic Matching in Product Search. | Wei-Cheng Chang, Daniel L. Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon |
| 2020 | AISTATS | Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering. | Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh |
| 2020 | ICML | Learning to Encode Position for Transformer with Continuous Dynamical Model. | Xuanqing Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh |
| 2020 | ICML | Extreme Multi-label Classification from Aggregated Labels. | Yanyao Shen, Hsiang-Fu Yu, Sujay Sanghavi, Inderjit S. Dhillon |
| 2020 | KDD | Taming Pretrained Transformers for Extreme Multi-label Text Classification. | Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon |
| 2019 | AISTATS | A Fast Sampling Algorithm for Maximum Inner Product Search. | Qin Ding, Hsiang-Fu Yu, Cho-Jui Hsieh |
| 2019 | AISTATS | Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables. | Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon |
| 2019 | AISTATS | Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models. | Jiong Zhang, Parameswaran Raman, Shihao Ji, Hsiang-Fu Yu, S. V. N. Vishwanathan, Inderjit S. Dhillon |
| 2018 | NAACL | Learning Word Embeddings for Low-Resource Languages by PU Learning. | Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang |
| 2017 | AAAI | A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information. | Hsiang-Fu Yu, Hsin-Yuan Huang, Inderjit S. Dhillon, Chih-Jen Lin |
| 2017 | SDM | Selection of Negative Samples for One-class Matrix Factorization. | Hsiang-Fu Yu, Mikhail Bilenko, Chih-Jen Lin |
| 2015 | ICML | PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent. | Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon |
| 2015 | WWW | A Scalable Asynchronous Distributed Algorithm for Topic Modeling. | Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon |
| 2014 | ICML | Large-scale Multi-label Learning with Missing Labels. | Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit S. Dhillon |
| 2012 | ICDM | Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems. | Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon |
| 2011 | IJCAI | Large Linear Classification When Data Cannot Fit in Memory. | Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin |
| 2010 | KDD | Large linear classification when data cannot fit in memory. | Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin |
| 2008 | APSCC | Hierarchical Genetic Algorithms for Channel Allocation in Wireless Networks. | Yao-Tien Wang, Chung-Ming Ou, Hsiang-Fu Yu |
| 2004 | ISCC | Interleaving harmonic broadcasting and receiving scheme with loss-anticipation delivery. | Hung-Chang Yang, Hsiang-Fu Yu, Li-Ming Tseng, Yi-Ming Chen |
| 2002 | ICPADS | Adaptive Live Broadcasting for Highly-Demanded Videos. | Hung-Chang Yang, Hsiang-Fu Yu, Li-Ming Tseng |