Hsiang-Fu Yu

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 64

Top Venues

Publications

Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. ACL (1) (2024)
Haoya Li, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
Accelerating Primal-Dual Methods for Regularized Markov Decision Processes. SIAM J. Optim. 34 (1) (2024)
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
Entity Disambiguation with Extreme Multi-label Ranking. WWW (2024)
Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models. WSDM (2024)
Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models. CoRR (2023)
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
Uncertainty Quantification for Extreme Classification. SIGIR (2023)
Haoya Li, Samarth Gupta, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
Approximate Newton Policy Gradient Algorithms. SIAM J. Sci. Comput. 45 (5) (2023)
Patrick H. Chen, Wei-Cheng Chang, Jyun-Yu Jiang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. WWW (2023)
Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. ICML (2023)
Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar
Representer Point Selection for Explaining Regularized High-dimensional Models. ICML (2023)
Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. CoRR (2023)
Che-Ping Tsai, Jiong Zhang, Eli Chien, Hsiang-Fu Yu, Cho-Jui Hsieh, Pradeep Ravikumar
Representer Point Selection for Explaining Regularized High-dimensional Models. CoRR (2023)
Jiong Zhang, Yau-Shian Wang, Wei-Cheng Chang, Wei Li, Jyun-Yu Jiang, Cho-Jui Hsieh, Hsiang-Fu Yu
Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search. CIKM (2023)
Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. CoRR (2023)
Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon
Extreme Zero-Shot Learning for Extreme Text Classification. NAACL-HLT (2022)
Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. ICLR (2022)
Hsiang-Fu Yu, Jiong Zhang, Wei-Cheng Chang, Jyun-Yu Jiang, Wei Li, Cho-Jui Hsieh
PECOS: Prediction for Enormous and Correlated Output Spaces. KDD (2022)
Hsiang-Fu Yu, Kai Zhong, Jiong Zhang, Wei-Cheng Chang, Inderjit S. Dhillon
PECOS: Prediction for Enormous and Correlated Output Spaces. J. Mach. Learn. Res. 23 (2022)
Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees. WWW (2022)
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification. SIGIR (2022)
Patrick H. Chen, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. CoRR (2022)
Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
ELIAS: End-to-End Learning to Index and Search in Large Output Spaces. NeurIPS (2022)
Haoya Li, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
Accelerating Primal-dual Methods for Regularized Markov Decision Processes. CoRR (2022)
Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
End-to-End Learning to Index and Search in Large Output Spaces. CoRR (2022)
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
Uncertainty in Extreme Multi-label Classification. CoRR (2022)
Jiong Zhang, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification. CoRR (2021)
Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. CoRR (2021)
Haoya Li, Samarth Gupta, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
Quasi-Newton policy gradient algorithms. CoRR (2021)
Wei-Cheng Chang, Daniel Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon
Extreme Multi-label Learning for Semantic Matching in Product Search. CoRR (2021)
Wei-Cheng Chang, Daniel Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon
Extreme Multi-label Learning for Semantic Matching in Product Search. KDD (2021)
Jiong Zhang, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification. NeurIPS (2021)
Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees. CoRR (2021)
Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
Label Disentanglement in Partition-based Extreme Multilabel Classification. NeurIPS (2021)
Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon
Extreme Zero-Shot Learning for Extreme Text Classification. CoRR (2021)
Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
Label Disentanglement in Partition-based Extreme Multilabel Classification. CoRR (2021)
Patrick H. Chen, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
DRONE: Data-aware Low-rank Compression for Large NLP Models. NeurIPS (2021)
Xuanqing Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
Learning to Encode Position for Transformer with Continuous Dynamical Model. CoRR (2020)
Yanyao Shen, Hsiang-Fu Yu, Sujay Sanghavi, Inderjit S. Dhillon
Extreme Multi-label Classification from Aggregated Labels. ICML (2020)
Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon
Taming Pretrained Transformers for Extreme Multi-label Text Classification. KDD (2020)
Hsiang-Fu Yu, Kai Zhong, Inderjit S. Dhillon
PECOS: Prediction for Enormous and Correlated Output Spaces. CoRR (2020)
Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering. AISTATS (2020)
Xuanqing Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
Learning to Encode Position for Transformer with Continuous Dynamical Model. ICML (2020)
Yanyao Shen, Hsiang-Fu Yu, Sujay Sanghavi, Inderjit S. Dhillon
Extreme Multi-label Classification from Aggregated Labels. CoRR (2020)
Jiong Zhang, Parameswaran Raman, Shihao Ji, Hsiang-Fu Yu, S. V. N. Vishwanathan, Inderjit S. Dhillon
Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models. AISTATS (2019)
Rajat Sen, Hsiang-Fu Yu, Inderjit S. Dhillon
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting. NeurIPS (2019)
Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering. CoRR (2019)
Qin Ding, Hsiang-Fu Yu, Cho-Jui Hsieh
A Fast Sampling Algorithm for Maximum Inner Product Search. AISTATS (2019)
Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon
A Modular Deep Learning Approach for Extreme Multi-label Text Classification. CoRR (2019)
Rajat Sen, Hsiang-Fu Yu, Inderjit S. Dhillon
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting. CoRR (2019)
Jiong Zhang, Hsiang-Fu Yu, Inderjit S. Dhillon
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks. CoRR (2019)
Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables. AISTATS (2019)
Jiong Zhang, Hsiang-Fu Yu, Inderjit S. Dhillon
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks. NeurIPS (2019)
Vikas K. Garg, Inderjit S. Dhillon, Hsiang-Fu Yu
Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure. CoRR (2019)
Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang
Learning Word Embeddings for Low-Resource Languages by PU Learning. NAACL-HLT (2018)
Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang
LearningWord Embeddings for Low-resource Languages by PU Learning. CoRR (2018)
Hsiang-Fu Yu, Hsin-Yuan Huang, Inderjit S. Dhillon, Chih-Jen Lin
A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information. AAAI (2017)
Pin-Han Ho, Mingfu Li, Hsiang-Fu Yu, Xiaohong Jiang, György Dán
Special Section on Mobile Content Delivery Networks. Comput. Commun. 99 (2017)
Hsiang-Fu Yu, Mikhail Bilenko, Chih-Jen Lin
Selection of Negative Samples for One-class Matrix Factorization. SDM (2017)
Hsiang-Fu Yu, Cho-Jui Hsieh, Qi Lei, Inderjit S. Dhillon
A Greedy Approach for Budgeted Maximum Inner Product Search. NIPS (2017)
Hsiang-Fu Yu
Efficient Seamless Channel Transition for Near Video-on-Demand with Small Receiving Bandwidth. J. Inf. Sci. Eng. 32 (5) (2016)
Hsiang-Fu Yu, Cho-Jui Hsieh, Qi Lei, Inderjit S. Dhillon
A Greedy Approach for Budgeted Maximum Inner Product Search. CoRR (2016)
Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon
Nomadic Computing for Big Data Analytics. Computer 49 (4) (2016)
Yang You, Xiangru Lian, Ji Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, James Demmel, Cho-Jui Hsieh
Asynchronous Parallel Greedy Coordinate Descent. NIPS (2016)
Hsiang-Fu Yu, Nikhil Rao, Inderjit S. Dhillon
Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction. NIPS (2016)
Nikhil Rao, Hsiang-Fu Yu, Pradeep Ravikumar, Inderjit S. Dhillon
Collaborative Filtering with Graph Information: Consistency and Scalable Methods. NIPS (2015)
Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon
PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent. ICML (2015)
Hsiang-Fu Yu
Efficient periodic broadcasting scheme for video delivery over a single channel. Multim. Tools Appl. 74 (15) (2015)
Hsiang-Fu Yu, Nikhil Rao, Inderjit S. Dhillon
Temporal Regularized Matrix Factorization. CoRR (2015)
Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon
PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent. CoRR (2015)
Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon
A Scalable Asynchronous Distributed Algorithm for Topic Modeling. WWW (2015)
Ming Gong, Bin Lin, Pin-Han Ho, Hsiang-Fu Yu, Patrick Hung
Optimized BS assignment and resource allocation in cooperative OFDM networks. Wirel. Networks 20 (5) (2014)
Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit S. Dhillon
Large-scale Multi-label Learning with Missing Labels. ICML (2014)
Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
Parallel matrix factorization for recommender systems. Knowl. Inf. Syst. 41 (3) (2014)
Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon
A Scalable Asynchronous Distributed Algorithm for Topic Modeling. CoRR (2014)
Hsiang-Fu Yu
Extension of practical channel transition broadcasting for near video-on-demand applications. Multim. Tools Appl. 70 (3) (2014)
Hyokun Yun, Hsiang-Fu Yu, Cho-Jui Hsieh, S. V. N. Vishwanathan, Inderjit S. Dhillon
NOMAD: Nonlocking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion. Proc. VLDB Endow. 7 (11) (2014)
Khalim Amjad Meerja, Pin-Han Ho, Bin Wu, Hsiang-Fu Yu
Media access protocol for a coexisting cognitive femtocell network. Comput. Networks 57 (15) (2013)
Khalim Amjad Meerja, Pin-Han Ho, Bin Wu, Hsiang-Fu Yu
A novel architecture and media access protocol for cognitive radio based autonomous femtocell networks. WOCN (2013)
Hsiang-Fu Yu
Improvement of the client-centric approach for broadcasting popular videos. Multim. Tools Appl. 67 (3) (2013)
Hyokun Yun, Hsiang-Fu Yu, Cho-Jui Hsieh, S. V. N. Vishwanathan, Inderjit S. Dhillon
NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion. CoRR (2013)
Hsiang-Fu Yu, Yao-Tien Wang, Jong-Yih Kuo, Chu-Yi Chien
Efficient Periodic Broadcasting for Mobile Networks at Small Client Receiving Bandwidth and Buffering Space. J. Appl. Math. 2013 (2013)
Hsiang-Fu Yu
Single-Channel Data Broadcasting under Small Waiting Latency. J. Appl. Math. 2013 (2013)
Hsiang-Fu Yu, Prateek Jain, Inderjit S. Dhillon
Large-scale Multi-label Learning with Missing Labels. CoRR (2013)
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin
Large Linear Classification When Data Cannot Fit in Memory. ACM Trans. Knowl. Discov. Data 5 (4) (2012)
Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems. ICDM (2012)
Hsiang-Fu Yu, Jen-Wen Ding, Pin-Han Ho, János Tapolcai
IPTV: Technology, Practice, and Service. Int. J. Digit. Multim. Broadcast. 2012 (2012)
Cheng-Tzu Wang, Hsiang-Fu Yu
High-capacity reversible data hiding based on multi-histogram modification. Multim. Tools Appl. 61 (2) (2012)
Liang Kai-Chun, Hsiang-Fu Yu
Adjustable Two-Tier Cache for IPTV Based on Segmented Streaming. Int. J. Digit. Multim. Broadcast. 2012 (2012)
Cheng-Tzu Wang, Hsiang-Fu Yu
A Markov-based reversible data hiding method based on histogram shifting. J. Vis. Commun. Image Represent. 23 (5) (2012)
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin
Large Linear Classification When Data Cannot Fit in Memory. IJCAI (2011)
Hsiang-Fu Yu, Fang-Lan Huang, Chih-Jen Lin
Dual coordinate descent methods for logistic regression and maximum entropy models. Mach. Learn. 85 (1-2) (2011)
Qi Guo, Pin-Han Ho, Hsiang-Fu Yu, János Tapolcai, Hussein T. Mouftah
Spare capacity reprovisioning for high availability shared backup path protection connections. Comput. Commun. 33 (5) (2010)
János Tapolcai, Pin-Han Ho, Hsiang-Fu Yu
Switching/merging node placement in survivable optical networks with SSP. Comput. Commun. 33 (3) (2010)
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin
Large linear classification when data cannot fit in memory. KDD (2010)
Hung-Yi Lo, Kai-Wei Chang, Shang-Tse Chen, Tsung-Hsien Chiang, Chun-Sung Ferng, Cho-Jui Hsieh, Yi-Kuang Ko, Tsung-Ting Kuo, Hung-Che Lai, Ken-Yi Lin, Chia-Hsuan Wang, Hsiang-Fu Yu, Chih-Jen Lin, Hsuan-Tien Lin, Shou-De Lin
An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. KDD Cup (2009)
Hsiang-Fu Yu, Pin-Han Ho, Hung-Chang Yang
Generalized Sequence-Based and Reverse Sequence-Based Models for Broadcasting Hot Videos. IEEE Trans. Multim. 11 (1) (2009)
Hsiang-Fu Yu, Hung-Chang Yang, Yao-Tien Wang, Ping-Lin Fan, Chu-Yi Chien
Broadcasting scheme with low client buffers and bandwidths for video-on-demand applications. Multim. Tools Appl. 42 (3) (2009)
Hung-Chang Yang, Min-Yi Hsieh, Hsiang-Fu Yu, Li-Ming Tseng
A Replication-Aware CDN-P2P Architecture Based on Two-Step Server Selection and Network Coding. PCM (2008)
Hsiang-Fu Yu, Chu-Yi Chien, Hung-Chang Yang, Yuan-Chieng Huang
An Efficient Broadcasting Scheme with Low Buffer Demand for Video-on-Demand Applications. PCM (2008)
Hsiang-Fu Yu, Ying-Nan Chen, Hung-Chang Yang, Zeng-Yuan Yang, Li-Ming Tseng
An efficient scheme for broadcasting popular videos at low buffer demand. Comput. Commun. 31 (10) (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hsiang-Fu Yu