Hsiang-Fu Yu

According to our database1, Hsiang-Fu Yu authored at least 88 papers between 2002 and 2022.

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Bibliography

2022
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search.
CoRR, 2022

Accelerating Primal-dual Methods for Regularized Markov Decision Processes.
CoRR, 2022

Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Extreme Zero-Shot Learning for Extreme Text Classification.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

PECOS: Prediction for Enormous and Correlated Output Spaces.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction.
CoRR, 2021

Quasi-Newton policy gradient algorithms.
CoRR, 2021

Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees.
CoRR, 2021

Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Label Disentanglement in Partition-based Extreme Multilabel Classification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DRONE: Data-aware Low-rank Compression for Large NLP Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Extreme Multi-label Learning for Semantic Matching in Product Search.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
PECOS: Prediction for Enormous and Correlated Output Spaces.
CoRR, 2020

Taming Pretrained Transformers for Extreme Multi-label Text Classification.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Extreme Multi-label Classification from Aggregated Labels.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Encode Position for Transformer with Continuous Dynamical Model.
Proceedings of the 37th International Conference on Machine Learning, 2020

Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure.
CoRR, 2019

A Modular Deep Learning Approach for Extreme Multi-label Text Classification.
CoRR, 2019

AutoAssist: A Framework to Accelerate Training of Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

A Fast Sampling Algorithm for Maximum Inner Product Search.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
LearningWord Embeddings for Low-resource Languages by PU Learning.
CoRR, 2018

Learning Word Embeddings for Low-Resource Languages by PU Learning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017
Special Section on Mobile Content Delivery Networks.
Comput. Commun., 2017

Selection of Negative Samples for One-class Matrix Factorization.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A Greedy Approach for Budgeted Maximum Inner Product Search.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Efficient Seamless Channel Transition for Near Video-on-Demand with Small Receiving Bandwidth.
J. Inf. Sci. Eng., 2016

Nomadic Computing for Big Data Analytics.
Computer, 2016

Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Asynchronous Parallel Greedy Coordinate Descent.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Efficient periodic broadcasting scheme for video delivery over a single channel.
Multim. Tools Appl., 2015

Temporal Regularized Matrix Factorization.
CoRR, 2015

A Scalable Asynchronous Distributed Algorithm for Topic Modeling.
Proceedings of the 24th International Conference on World Wide Web, 2015

Collaborative Filtering with Graph Information: Consistency and Scalable Methods.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Optimized BS assignment and resource allocation in cooperative OFDM networks.
Wirel. Networks, 2014

NOMAD: Nonlocking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion.
Proc. VLDB Endow., 2014

Extension of practical channel transition broadcasting for near video-on-demand applications.
Multim. Tools Appl., 2014

Parallel matrix factorization for recommender systems.
Knowl. Inf. Syst., 2014

Large-scale Multi-label Learning with Missing Labels.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Improvement of the client-centric approach for broadcasting popular videos.
Multim. Tools Appl., 2013

Efficient Periodic Broadcasting for Mobile Networks at Small Client Receiving Bandwidth and Buffering Space.
J. Appl. Math., 2013

Single-Channel Data Broadcasting under Small Waiting Latency.
J. Appl. Math., 2013

NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion.
CoRR, 2013

Large-scale Multi-label Learning with Missing Labels.
CoRR, 2013

Media access protocol for a coexisting cognitive femtocell network.
Comput. Networks, 2013

A novel architecture and media access protocol for cognitive radio based autonomous femtocell networks.
Proceedings of the Tenth International Conference on Wireless and Optical Communications Networks, 2013

2012
Large Linear Classification When Data Cannot Fit in Memory.
ACM Trans. Knowl. Discov. Data, 2012

High-capacity reversible data hiding based on multi-histogram modification.
Multim. Tools Appl., 2012

A Markov-based reversible data hiding method based on histogram shifting.
J. Vis. Commun. Image Represent., 2012

IPTV: Technology, Practice, and Service.
Int. J. Digit. Multim. Broadcast., 2012

Adjustable Two-Tier Cache for IPTV Based on Segmented Streaming.
Int. J. Digit. Multim. Broadcast., 2012

Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Dual coordinate descent methods for logistic regression and maximum entropy models.
Mach. Learn., 2011

2010
Switching/merging node placement in survivable optical networks with SSP.
Comput. Commun., 2010

Spare capacity reprovisioning for high availability shared backup path protection connections.
Comput. Commun., 2010

2009
Generalized Sequence-Based and Reverse Sequence-Based Models for Broadcasting Hot Videos.
IEEE Trans. Multim., 2009

Broadcasting scheme with low client buffers and bandwidths for video-on-demand applications.
Multim. Tools Appl., 2009

An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes.
Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

2008
Hybrid Broadcasting With Small Buffer Demand and Waiting Time for Video-on-Demand Applications.
IEEE Trans. Broadcast., 2008

An efficient scheme for broadcasting popular videos at low buffer demand.
Comput. Commun., 2008

An Efficient Broadcasting Scheme with Low Buffer Demand for Video-on-Demand Applications.
Proceedings of the Advances in Multimedia Information Processing, 2008

A Replication-Aware CDN-P2P Architecture Based on Two-Step Server Selection and Network Coding.
Proceedings of the Advances in Multimedia Information Processing, 2008

A Limited-Client-Capability Broadcasting Scheme for VoD Applications.
Proceedings of the Seventh International Conference on Networking (ICN 2008), 2008

Hierarchical Genetic Algorithms for Channel Allocation in Wireless Networks.
Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, 2008

2007
Reverse Fast Broadcasting (RFB) for Video-on-Demand Applications.
IEEE Trans. Broadcast., 2007

2006
A smooth broadcasting scheme for VBR-encoded hot videos.
Comput. Commun., 2006

A Live Harmonic Broadcasting Scheme for VBR-Encoded Hot Videos.
Proceedings of the Wired/Wireless Internet Communications, 4th International Conference, 2006

2005
The enhanced staircase broadcasting for VBR videos.
Comput. Commun., 2005

Short-Delay Video Streaming with Restricted Supplying Peer Bandwidth.
Proceedings of the Management of Multimedia Networks and Services, 2005

An efficient staircase-harmonic scheme for broadcasting popular videos.
Proceedings of the 2nd IEEE Consumer Communications and Networking Conference, 2005

2004
Content Delivery Network with Hot-Video Broadcasting and Peer-to-Peer Approach.
J. Inf. Sci. Eng., 2004

Archive knowledge discovery by proxy cache.
Internet Res., 2004

Smooth Fast Broadcasting (SFB) for Compressed Videos.
Proceedings of the Wired/Wireless Internet Communications, Second International Conference, 2004

Interleaving harmonic broadcasting and receiving scheme with loss-anticipation delivery.
Proceedings of the 9th IEEE Symposium on Computers and Communications (ISCC 2006), June 28, 2004

Fast and lossless broadcasting schemes for VBR-encoded hot videos.
Proceedings of the 12th IEEE International Conference on Networks, 2004

Interleaving Staircase Broadcasting and Receiving Scheme with Loss-Anticipation Delivery.
Proceedings of the International Conference on Internet Computing, 2004

A Smooth Recursive Frequency-Splitting Scheme for Broadcasting VBR-Encoded Hot Videos.
Proceedings of the High Speed Networks and Multimedia Communications, 2004

Simple VBR staircase broadcasting (SVSB).
Proceedings of the 1st IEEE Consumer Communications and Networking Conference, 2004

2003
Adaptive Live Broadcasting for Highly-Demand Videos.
J. Inf. Sci. Eng., 2003

Improving Internet archive service through proxy cache.
Internet Res., 2003

2002
Abnormal Web usage control by proxy strategies.
Internet Res., 2002

Adaptive Live Broadcasting for Highly-Demanded Videos.
Proceedings of the 9th International Conference on Parallel and Distributed Systems, 2002


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