Hsiang-Fu Yu - RankMe

122 papers A* 26A 7B 1C 2Journal 66Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Retrieval-augmented Encoders for Extreme Multi-label Text Classification. CoRR Yau-Shian Wang, Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Hsiang-Fu Yu, S. V. N. Vishwanathan
2024	J	`jnl`	Accelerating Primal-Dual Methods for Regularized Markov Decision Processes. SIAM J. Optim. Haoya Li, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
2024	A*	`conf`	Entity Disambiguation with Extreme Multi-label Ranking. WWW Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
2024	—	`conf`	MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. ACL (1) Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang
2024	A	`conf`	PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models. WSDM 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	J	`jnl`	Approximate Newton Policy Gradient Algorithms. SIAM J. Sci. Comput. Haoya Li, Samarth Gupta, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
2023	A	`conf`	Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search. CIKM Jiong Zhang, Yau-Shian Wang, Wei-Cheng Chang, Wei Li, Jyun-Yu Jiang, Cho-Jui Hsieh, Hsiang-Fu Yu
2023	A*	`conf`	FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. WWW Patrick H. Chen, Wei-Cheng Chang, Jyun-Yu Jiang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
2023	J	`jnl`	MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. CoRR Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang
2023	J	`jnl`	PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models. CoRR 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	A*	`conf`	PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. ICML Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu
2023	J	`jnl`	PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. CoRR Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu
2023	A*	`conf`	Representer Point Selection for Explaining Regularized High-dimensional Models. ICML Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar
2023	J	`jnl`	Representer Point Selection for Explaining Regularized High-dimensional Models. CoRR Che-Ping Tsai, Jiong Zhang, Eli Chien, Hsiang-Fu Yu, Cho-Jui Hsieh, Pradeep Ravikumar
2023	A*	`conf`	Uncertainty Quantification for Extreme Classification. SIGIR Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
2022	J	`jnl`	Accelerating Primal-dual Methods for Regularized Markov Decision Processes. CoRR Haoya Li, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
2022	A*	`conf`	ELIAS: End-to-End Learning to Index and Search in Large Output Spaces. NeurIPS Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
2022	J	`jnl`	End-to-End Learning to Index and Search in Large Output Spaces. CoRR Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
2022	A*	`conf`	Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees. WWW Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
2022	—	`conf`	Extreme Zero-Shot Learning for Extreme Text Classification. NAACL-HLT Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon
2022	J	`jnl`	FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. CoRR Patrick H. Chen, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
2022	A*	`conf`	Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. ICLR Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon
2022	A*	`conf`	PECOS: Prediction for Enormous and Correlated Output Spaces. KDD Hsiang-Fu Yu, Jiong Zhang, Wei-Cheng Chang, Jyun-Yu Jiang, Wei Li, Cho-Jui Hsieh
2022	J	`jnl`	PECOS: Prediction for Enormous and Correlated Output Spaces. J. Mach. Learn. Res. Hsiang-Fu Yu, Kai Zhong, Jiong Zhang, Wei-Cheng Chang, Inderjit S. Dhillon
2022	A*	`conf`	Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification. SIGIR Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
2022	J	`jnl`	Uncertainty in Extreme Multi-label Classification. CoRR Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
2021	J	`jnl`	Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees. CoRR Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
2021	A*	`conf`	DRONE: Data-aware Low-rank Compression for Large NLP Models. NeurIPS Patrick H. Chen, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
2021	A*	`conf`	Extreme Multi-label Learning for Semantic Matching in Product Search. KDD 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
2021	J	`jnl`	Extreme Multi-label Learning for Semantic Matching in Product Search. CoRR 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
2021	J	`jnl`	Extreme Zero-Shot Learning for Extreme Text Classification. CoRR Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon
2021	A*	`conf`	Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification. NeurIPS Jiong Zhang, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon
2021	J	`jnl`	Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification. CoRR Jiong Zhang, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon
2021	A*	`conf`	Label Disentanglement in Partition-based Extreme Multilabel Classification. NeurIPS Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
2021	J	`jnl`	Label Disentanglement in Partition-based Extreme Multilabel Classification. CoRR Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
2021	J	`jnl`	Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. CoRR Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon
2021	J	`jnl`	Quasi-Newton policy gradient algorithms. CoRR Haoya Li, Samarth Gupta, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
2020	A*	`conf`	Extreme Multi-label Classification from Aggregated Labels. ICML Yanyao Shen, Hsiang-Fu Yu, Sujay Sanghavi, Inderjit S. Dhillon
2020	J	`jnl`	Extreme Multi-label Classification from Aggregated Labels. CoRR Yanyao Shen, Hsiang-Fu Yu, Sujay Sanghavi, Inderjit S. Dhillon
2020	A	`conf`	Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering. AISTATS Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh
2020	A*	`conf`	Learning to Encode Position for Transformer with Continuous Dynamical Model. ICML Xuanqing Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
2020	J	`jnl`	Learning to Encode Position for Transformer with Continuous Dynamical Model. CoRR Xuanqing Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
2020	J	`jnl`	PECOS: Prediction for Enormous and Correlated Output Spaces. CoRR Hsiang-Fu Yu, Kai Zhong, Inderjit S. Dhillon
2020	A*	`conf`	Taming Pretrained Transformers for Extreme Multi-label Text Classification. KDD Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon
2019	A	`conf`	A Fast Sampling Algorithm for Maximum Inner Product Search. AISTATS Qin Ding, Hsiang-Fu Yu, Cho-Jui Hsieh
2019	J	`jnl`	A Modular Deep Learning Approach for Extreme Multi-label Text Classification. CoRR Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon
2019	A*	`conf`	AutoAssist: A Framework to Accelerate Training of Deep Neural Networks. NeurIPS Jiong Zhang, Hsiang-Fu Yu, Inderjit S. Dhillon
2019	J	`jnl`	AutoAssist: A Framework to Accelerate Training of Deep Neural Networks. CoRR Jiong Zhang, Hsiang-Fu Yu, Inderjit S. Dhillon
2019	A	`conf`	Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models. AISTATS Jiong Zhang, Parameswaran Raman, Shihao Ji, Hsiang-Fu Yu, S. V. N. Vishwanathan, Inderjit S. Dhillon
2019	J	`jnl`	Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering. CoRR Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh
2019	J	`jnl`	Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure. CoRR Vikas K. Garg, Inderjit S. Dhillon, Hsiang-Fu Yu
2019	A	`conf`	Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables. AISTATS Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
2019	A*	`conf`	Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting. NeurIPS Rajat Sen, Hsiang-Fu Yu, Inderjit S. Dhillon
2019	J	`jnl`	Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting. CoRR Rajat Sen, Hsiang-Fu Yu, Inderjit S. Dhillon
2018	—	`conf`	Learning Word Embeddings for Low-Resource Languages by PU Learning. NAACL-HLT Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang
2018	J	`jnl`	LearningWord Embeddings for Low-resource Languages by PU Learning. CoRR Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang
2017	—	`conf`	A Greedy Approach for Budgeted Maximum Inner Product Search. NIPS Hsiang-Fu Yu, Cho-Jui Hsieh, Qi Lei, Inderjit S. Dhillon
2017	A*	`conf`	A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information. AAAI Hsiang-Fu Yu, Hsin-Yuan Huang, Inderjit S. Dhillon, Chih-Jen Lin
2017	A	`conf`	Selection of Negative Samples for One-class Matrix Factorization. SDM Hsiang-Fu Yu, Mikhail Bilenko, Chih-Jen Lin
2017	J	`jnl`	Special Section on Mobile Content Delivery Networks. Comput. Commun. Pin-Han Ho, Mingfu Li, Hsiang-Fu Yu, Xiaohong Jiang, György Dán
2016	J	`jnl`	A Greedy Approach for Budgeted Maximum Inner Product Search. CoRR Hsiang-Fu Yu, Cho-Jui Hsieh, Qi Lei, Inderjit S. Dhillon
2016	—	`conf`	Asynchronous Parallel Greedy Coordinate Descent. NIPS Yang You, Xiangru Lian, Ji Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, James Demmel, Cho-Jui Hsieh
2016	J	`jnl`	Efficient Seamless Channel Transition for Near Video-on-Demand with Small Receiving Bandwidth. J. Inf. Sci. Eng. Hsiang-Fu Yu
2016	J	`jnl`	Nomadic Computing for Big Data Analytics. Computer Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon
2016	—	`conf`	Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction. NIPS Hsiang-Fu Yu, Nikhil Rao, Inderjit S. Dhillon
2015	A*	`conf`	A Scalable Asynchronous Distributed Algorithm for Topic Modeling. WWW Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon
2015	—	`conf`	Collaborative Filtering with Graph Information: Consistency and Scalable Methods. NIPS Nikhil Rao, Hsiang-Fu Yu, Pradeep Ravikumar, Inderjit S. Dhillon
2015	J	`jnl`	Efficient periodic broadcasting scheme for video delivery over a single channel. Multim. Tools Appl. Hsiang-Fu Yu
2015	A*	`conf`	PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent. ICML Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon
2015	J	`jnl`	PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent. CoRR Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon
2015	J	`jnl`	Temporal Regularized Matrix Factorization. CoRR Hsiang-Fu Yu, Nikhil Rao, Inderjit S. Dhillon
2014	J	`jnl`	A Scalable Asynchronous Distributed Algorithm for Topic Modeling. CoRR Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon
2014	J	`jnl`	Extension of practical channel transition broadcasting for near video-on-demand applications. Multim. Tools Appl. Hsiang-Fu Yu
2014	A*	`conf`	Large-scale Multi-label Learning with Missing Labels. ICML Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit S. Dhillon
2014	J	`jnl`	NOMAD: Nonlocking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion. Proc. VLDB Endow. Hyokun Yun, Hsiang-Fu Yu, Cho-Jui Hsieh, S. V. N. Vishwanathan, Inderjit S. Dhillon
2014	J	`jnl`	Optimized BS assignment and resource allocation in cooperative OFDM networks. Wirel. Networks Ming Gong, Bin Lin, Pin-Han Ho, Hsiang-Fu Yu, Patrick Hung
2014	J	`jnl`	Parallel matrix factorization for recommender systems. Knowl. Inf. Syst. Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
2013	—	`conf`	A novel architecture and media access protocol for cognitive radio based autonomous femtocell networks. WOCN Khalim Amjad Meerja, Pin-Han Ho, Bin Wu, Hsiang-Fu Yu
2013	J	`jnl`	Efficient Periodic Broadcasting for Mobile Networks at Small Client Receiving Bandwidth and Buffering Space. J. Appl. Math. Hsiang-Fu Yu, Yao-Tien Wang, Jong-Yih Kuo, Chu-Yi Chien
2013	J	`jnl`	Improvement of the client-centric approach for broadcasting popular videos. Multim. Tools Appl. Hsiang-Fu Yu
2013	J	`jnl`	Large-scale Multi-label Learning with Missing Labels. CoRR Hsiang-Fu Yu, Prateek Jain, Inderjit S. Dhillon
2013	J	`jnl`	Media access protocol for a coexisting cognitive femtocell network. Comput. Networks Khalim Amjad Meerja, Pin-Han Ho, Bin Wu, Hsiang-Fu Yu
2013	J	`jnl`	NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion. CoRR Hyokun Yun, Hsiang-Fu Yu, Cho-Jui Hsieh, S. V. N. Vishwanathan, Inderjit S. Dhillon
2013	J	`jnl`	Single-Channel Data Broadcasting under Small Waiting Latency. J. Appl. Math. Hsiang-Fu Yu
2012	J	`jnl`	A Markov-based reversible data hiding method based on histogram shifting. J. Vis. Commun. Image Represent. Cheng-Tzu Wang, Hsiang-Fu Yu
2012	J	`jnl`	Adjustable Two-Tier Cache for IPTV Based on Segmented Streaming. Int. J. Digit. Multim. Broadcast. Liang Kai-Chun, Hsiang-Fu Yu
2012	J	`jnl`	High-capacity reversible data hiding based on multi-histogram modification. Multim. Tools Appl. Cheng-Tzu Wang, Hsiang-Fu Yu
2012	J	`jnl`	IPTV: Technology, Practice, and Service. Int. J. Digit. Multim. Broadcast. Hsiang-Fu Yu, Jen-Wen Ding, Pin-Han Ho, János Tapolcai
2012	J	`jnl`	Large Linear Classification When Data Cannot Fit in Memory. ACM Trans. Knowl. Discov. Data Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin
2012	A*	`conf`	Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems. ICDM Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
2011	J	`jnl`	Dual coordinate descent methods for logistic regression and maximum entropy models. Mach. Learn. Hsiang-Fu Yu, Fang-Lan Huang, Chih-Jen Lin
2011	A*	`conf`	Large Linear Classification When Data Cannot Fit in Memory. IJCAI Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin
2010	A*	`conf`	Large linear classification when data cannot fit in memory. KDD Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin
2010	J	`jnl`	Spare capacity reprovisioning for high availability shared backup path protection connections. Comput. Commun. Qi Guo, Pin-Han Ho, Hsiang-Fu Yu, János Tapolcai, Hussein T. Mouftah
2010	J	`jnl`	Switching/merging node placement in survivable optical networks with SSP. Comput. Commun. János Tapolcai, Pin-Han Ho, Hsiang-Fu Yu
2009	—	`conf`	An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. KDD Cup 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
2009	J	`jnl`	Broadcasting scheme with low client buffers and bandwidths for video-on-demand applications. Multim. Tools Appl. Hsiang-Fu Yu, Hung-Chang Yang, Yao-Tien Wang, Ping-Lin Fan, Chu-Yi Chien
2009	J	`jnl`	Generalized Sequence-Based and Reverse Sequence-Based Models for Broadcasting Hot Videos. IEEE Trans. Multim. Hsiang-Fu Yu, Pin-Han Ho, Hung-Chang Yang
2008	—	`conf`	A Limited-Client-Capability Broadcasting Scheme for VoD Applications. ICN Hsiang-Fu Yu, Hung-Chang Yang, Chu-Yi Chien, Yao-Tien Wang
2008	—	`conf`	A Replication-Aware CDN-P2P Architecture Based on Two-Step Server Selection and Network Coding. PCM Hung-Chang Yang, Min-Yi Hsieh, Hsiang-Fu Yu, Li-Ming Tseng
2008	—	`conf`	An Efficient Broadcasting Scheme with Low Buffer Demand for Video-on-Demand Applications. PCM Hsiang-Fu Yu, Chu-Yi Chien, Hung-Chang Yang, Yuan-Chieng Huang
2008	J	`jnl`	An efficient scheme for broadcasting popular videos at low buffer demand. Comput. Commun. Hsiang-Fu Yu, Ying-Nan Chen, Hung-Chang Yang, Zeng-Yuan Yang, Li-Ming Tseng
2008	C	`conf`	Hierarchical Genetic Algorithms for Channel Allocation in Wireless Networks. APSCC Yao-Tien Wang, Chung-Ming Ou, Hsiang-Fu Yu
2008	J	`jnl`	Hybrid Broadcasting With Small Buffer Demand and Waiting Time for Video-on-Demand Applications. IEEE Trans. Broadcast. Hsiang-Fu Yu
2007	J	`jnl`	Reverse Fast Broadcasting (RFB) for Video-on-Demand Applications. IEEE Trans. Broadcast. Hsiang-Fu Yu, Hung-Chang Yang, Li-Ming Tseng
2006	—	`conf`	A Live Harmonic Broadcasting Scheme for VBR-Encoded Hot Videos. WWIC Hung-Chang Yang, Hsiang-Fu Yu, Zeng-Yuan Yang, Li-Ming Tseng, Yi-Ming Chen
2006	J	`jnl`	A smooth broadcasting scheme for VBR-encoded hot videos. Comput. Commun. Hsiang-Fu Yu, Hung-Chang Yang, Pin-Han Ho, Yi-Ming Chen, Li-Ming Tseng
2005	—	`conf`	An efficient staircase-harmonic scheme for broadcasting popular videos. CCNC Hung-Chang Yang, Hsiang-Fu Yu, Li-Ming Tseng, Yi-Ming Chen
2005	—	`conf`	Short-Delay Video Streaming with Restricted Supplying Peer Bandwidth. MMNS Hung-Chang Yang, Hsiang-Fu Yu, Li-Ming Tseng, Yi-Ming Chen
2005	J	`jnl`	The enhanced staircase broadcasting for VBR videos. Comput. Commun. Hsiang-Fu Yu, Hung-Chang Yang, Li-Ming Tseng, Yi-Ming Chen
2004	—	`conf`	A Smooth Recursive Frequency-Splitting Scheme for Broadcasting VBR-Encoded Hot Videos. HSNMC Hsiang-Fu Yu, Hung-Chang Yang, Yi-Ming Chen, Li-Ming Tseng
2004	J	`jnl`	Archive knowledge discovery by proxy cache. Internet Res. Hsiang-Fu Yu, Yi-Ming Chen, Li-Ming Tseng
2004	J	`jnl`	Content Delivery Network with Hot-Video Broadcasting and Peer-to-Peer Approach. J. Inf. Sci. Eng. Julian Liu, Su-Chiu Yang, Hsiang-Fu Yu, Li-Ming Tseng
2004	—	`conf`	Fast and lossless broadcasting schemes for VBR-encoded hot videos. ICON Hung-Chang Yang, Hsiang-Fu Yu, Li-Ming Tseng, Yi-Ming Chen
2004	—	`conf`	Interleaving Staircase Broadcasting and Receiving Scheme with Loss-Anticipation Delivery. International Conference on Internet Computing Hung-Chang Yang, Hsiang-Fu Yu, Li-Ming Tseng, Yi-Ming Chen
2004	C	`conf`	Interleaving harmonic broadcasting and receiving scheme with loss-anticipation delivery. ISCC Hung-Chang Yang, Hsiang-Fu Yu, Li-Ming Tseng, Yi-Ming Chen
2004	—	`conf`	Simple VBR staircase broadcasting (SVSB). CCNC Hsiang-Fu Yu, Hung-Chang Yang, Li-Ming Tseng, Yi-Ming Chen
2004	—	`conf`	Smooth Fast Broadcasting (SFB) for Compressed Videos. WWIC Hsiang-Fu Yu, Hung-Chang Yang, Yi-Ming Chen, Li-Ming Tseng, Chen-Yi Kuo
2003	J	`jnl`	Adaptive Live Broadcasting for Highly-Demand Videos. J. Inf. Sci. Eng. Hung-Chang Yang, Hsiang-Fu Yu, Li-Ming Tseng
2003	J	`jnl`	Improving Internet archive service through proxy cache. Internet Res. Hsiang-Fu Yu, Yi-Ming Chen, Shih-Yong Wang, Li-Ming Tseng
2002	J	`jnl`	Abnormal Web usage control by proxy strategies. Internet Res. Hsiang-Fu Yu, Li-Ming Tseng
2002	B	`conf`	Adaptive Live Broadcasting for Highly-Demanded Videos. ICPADS Hung-Chang Yang, Hsiang-Fu Yu, Li-Ming Tseng