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2020 – today
- 2024
[j35]Haoya Li
, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon:
Accelerating Primal-Dual Methods for Regularized Markov Decision Processes. SIAM J. Optim. 34(1): 764-789 (2024)- [c56]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: 254-266 - [c55]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: 77-86 - [c54]Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Entity Disambiguation with Extreme Multi-label Ranking. WWW 2024: 4172-4180 - 2023
- [j34]Haoya Li, Samarth Gupta, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon:
Approximate Newton Policy Gradient Algorithms. SIAM J. Sci. Comput. 45(5): 2585- (2023) - [c53]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: 4960-4966 - [c52]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: 5616-5630 - [c51]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: 34469-34490 - [c50]Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Uncertainty Quantification for Extreme Classification. SIGIR 2023: 1649-1659 - [c49]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: 3225-3235 - [i30]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 abs/2305.12349 (2023) - [i29]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 abs/2305.20002 (2023) - [i28]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 abs/2310.05007 (2023) - [i27]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 abs/2312.02429 (2023) - 2022
- [j33]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: 98:1-98:32 (2022) - [c48]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 - [c47]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: 4848-4849 - [c46]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: 5455-5468 - [c45]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 - [c44]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: 1870-1874 - [c43]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: 452-461 - [i26]Haoya Li, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon:
Accelerating Primal-dual Methods for Regularized Markov Decision Processes. CoRR abs/2202.10506 (2022) - [i25]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 abs/2206.11408 (2022) - [i24]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 abs/2210.08410 (2022) - [i23]Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Uncertainty in Extreme Multi-label Classification. CoRR abs/2210.10160 (2022) - 2021
- [c42]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:
Extreme Multi-label Learning for Semantic Matching in Product Search. KDD 2021: 2643-2651 - [c41]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: 7267-7280 - [c40]Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon:
Label Disentanglement in Partition-based Extreme Multilabel Classification. NeurIPS 2021: 15359-15369 - [c39]Patrick H. Chen, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh:
DRONE: Data-aware Low-rank Compression for Large NLP Models. NeurIPS 2021: 29321-29334 - [i22]Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon:
Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees. CoRR abs/2106.02697 (2021) - [i21]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:
Extreme Multi-label Learning for Semantic Matching in Product Search. CoRR abs/2106.12657 (2021) - [i20]Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon:
Label Disentanglement in Partition-based Extreme Multilabel Classification. CoRR abs/2106.12751 (2021) - [i19]Jiong Zhang, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon:
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification. CoRR abs/2110.00685 (2021) - [i18]Haoya Li, Samarth Gupta, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon:
Quasi-Newton policy gradient algorithms. CoRR abs/2110.02398 (2021) - [i17]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 abs/2111.00064 (2021) - [i16]Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon:
Extreme Zero-Shot Learning for Extreme Text Classification. CoRR abs/2112.08652 (2021) - 2020
- [c38]Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh:
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering. AISTATS 2020: 776-787 - [c37]Xuanqing Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh:
Learning to Encode Position for Transformer with Continuous Dynamical Model. ICML 2020: 6327-6335 - [c36]Yanyao Shen, Hsiang-Fu Yu, Sujay Sanghavi, Inderjit S. Dhillon:
Extreme Multi-label Classification from Aggregated Labels. ICML 2020: 8752-8762 - [c35]Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon:
Taming Pretrained Transformers for Extreme Multi-label Text Classification. KDD 2020: 3163-3171 - [i15]Xuanqing Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh:
Learning to Encode Position for Transformer with Continuous Dynamical Model. CoRR abs/2003.09229 (2020) - [i14]Yanyao Shen, Hsiang-Fu Yu, Sujay Sanghavi, Inderjit S. Dhillon:
Extreme Multi-label Classification from Aggregated Labels. CoRR abs/2004.00198 (2020) - [i13]Hsiang-Fu Yu, Kai Zhong, Inderjit S. Dhillon:
PECOS: Prediction for Enormous and Correlated Output Spaces. CoRR abs/2010.05878 (2020)
2010 – 2019
- 2019
- [c34]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: 935-943 - [c33]Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon:
Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables. AISTATS 2019: 2641-2649 - [c32]Qin Ding, Hsiang-Fu Yu, Cho-Jui Hsieh:
A Fast Sampling Algorithm for Maximum Inner Product Search. AISTATS 2019: 3004-3012 - [c31]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: 4838-4847 - [c30]Jiong Zhang, Hsiang-Fu Yu, Inderjit S. Dhillon:
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks. NeurIPS 2019: 5996-6006 - [i12]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 abs/1905.02331 (2019) - [i11]Jiong Zhang, Hsiang-Fu Yu, Inderjit S. Dhillon:
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks. CoRR abs/1905.03381 (2019) - [i10]Rajat Sen, Hsiang-Fu Yu, Inderjit S. Dhillon:
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting. CoRR abs/1905.03806 (2019) - [i9]Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh:
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering. CoRR abs/1905.12217 (2019) - [i8]Vikas K. Garg, Inderjit S. Dhillon, Hsiang-Fu Yu:
Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure. CoRR abs/1908.10408 (2019) - 2018
- [c29]Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang:
Learning Word Embeddings for Low-Resource Languages by PU Learning. NAACL-HLT 2018: 1024-1034 - [i7]Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang:
LearningWord Embeddings for Low-resource Languages by PU Learning. CoRR abs/1805.03366 (2018) - 2017
- [j32]Pin-Han Ho, Mingfu Li, Hsiang-Fu Yu, Xiaohong Jiang, György Dán:
Special Section on Mobile Content Delivery Networks. Comput. Commun. 99: 62 (2017) - [c28]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: 2845-2851 - [c27]Hsiang-Fu Yu, Cho-Jui Hsieh, Qi Lei, Inderjit S. Dhillon:
A Greedy Approach for Budgeted Maximum Inner Product Search. NIPS 2017: 5453-5462 - [c26]Hsiang-Fu Yu, Mikhail Bilenko, Chih-Jen Lin:
Selection of Negative Samples for One-class Matrix Factorization. SDM 2017: 363-371 - 2016
- [j31]Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon:
Nomadic Computing for Big Data Analytics. Computer 49(4): 52-60 (2016) - [j30]Hsiang-Fu Yu:
Efficient Seamless Channel Transition for Near Video-on-Demand with Small Receiving Bandwidth. J. Inf. Sci. Eng. 32(5): 1345-1371 (2016) - [c25]Hsiang-Fu Yu, Nikhil Rao, Inderjit S. Dhillon:
Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction. NIPS 2016: 847-855 - [c24]Yang You, Xiangru Lian, Ji Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, James Demmel, Cho-Jui Hsieh:
Asynchronous Parallel Greedy Coordinate Descent. NIPS 2016: 4682-4690 - [i6]Hsiang-Fu Yu, Cho-Jui Hsieh, Qi Lei, Inderjit S. Dhillon:
A Greedy Approach for Budgeted Maximum Inner Product Search. CoRR abs/1610.03317 (2016) - 2015
- [j29]Hsiang-Fu Yu:
Efficient periodic broadcasting scheme for video delivery over a single channel. Multim. Tools Appl. 74(15): 5811-5824 (2015) - [c23]Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon:
PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent. ICML 2015: 2370-2379 - [c22]Nikhil Rao, Hsiang-Fu Yu, Pradeep Ravikumar, Inderjit S. Dhillon:
Collaborative Filtering with Graph Information: Consistency and Scalable Methods. NIPS 2015: 2107-2115 - [c21]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: 1340-1350 - [i5]Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon:
PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent. CoRR abs/1504.01365 (2015) - [i4]Hsiang-Fu Yu, Nikhil Rao, Inderjit S. Dhillon:
Temporal Regularized Matrix Factorization. CoRR abs/1509.08333 (2015) - 2014
- [j28]Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon:
Parallel matrix factorization for recommender systems. Knowl. Inf. Syst. 41(3): 793-819 (2014) - [j27]Hsiang-Fu Yu:
Extension of practical channel transition broadcasting for near video-on-demand applications. Multim. Tools Appl. 70(3): 2369-2385 (2014) - [j26]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): 975-986 (2014) - [j25]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): 847-860 (2014) - [c20]Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit S. Dhillon:
Large-scale Multi-label Learning with Missing Labels. ICML 2014: 593-601 - [i3]Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon:
A Scalable Asynchronous Distributed Algorithm for Topic Modeling. CoRR abs/1412.4986 (2014) - 2013
- [j24]Khalim Amjad Meerja, Pin-Han Ho, Bin Wu, Hsiang-Fu Yu:
Media access protocol for a coexisting cognitive femtocell network. Comput. Networks 57(15): 2961-2975 (2013) - [j23]Hsiang-Fu Yu:
Single-Channel Data Broadcasting under Small Waiting Latency. J. Appl. Math. 2013: 629350:1-629350:8 (2013) - [j22]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: 930316:1-930316:10 (2013) - [j21]Hsiang-Fu Yu:
Improvement of the client-centric approach for broadcasting popular videos. Multim. Tools Appl. 67(3): 629-639 (2013) - [c19]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: 1-5 - [i2]Hsiang-Fu Yu, Prateek Jain, Inderjit S. Dhillon:
Large-scale Multi-label Learning with Missing Labels. CoRR abs/1307.5101 (2013) - [i1]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 abs/1312.0193 (2013) - 2012
- [j20]Liang Kai-Chun, Hsiang-Fu Yu:
Adjustable Two-Tier Cache for IPTV Based on Segmented Streaming. Int. J. Digit. Multim. Broadcast. 2012: 192314:1-192314:8 (2012) - [j19]Hsiang-Fu Yu, Jen-Wen Ding, Pin-Han Ho, János Tapolcai:
IPTV: Technology, Practice, and Service. Int. J. Digit. Multim. Broadcast. 2012: 734769:1-734769:2 (2012) - [j18]Cheng-Tzu Wang, Hsiang-Fu Yu:
A Markov-based reversible data hiding method based on histogram shifting. J. Vis. Commun. Image Represent. 23(5): 798-811 (2012) - [j17]Cheng-Tzu Wang, Hsiang-Fu Yu:
High-capacity reversible data hiding based on multi-histogram modification. Multim. Tools Appl. 61(2): 299-319 (2012) - [j16]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): 23:1-23:23 (2012) - [c18]Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon:
Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems. ICDM 2012: 765-774 - 2011
- [j15]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): 41-75 (2011) - [c17]Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin:
Large Linear Classification When Data Cannot Fit in Memory. IJCAI 2011: 2777-2782 - 2010
- [j14]János Tapolcai, Pin-Han Ho, Hsiang-Fu Yu:
Switching/merging node placement in survivable optical networks with SSP. Comput. Commun. 33(3): 381-389 (2010) - [j13]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): 603-611 (2010) - [c16]Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin:
Large linear classification when data cannot fit in memory. KDD 2010: 833-842
2000 – 2009
- 2009
- [j12]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): 295-316 (2009) - [j11]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): 152-165 (2009) - [c15]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: 57-64 - 2008
- [j10]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): 2270-2279 (2008) - [j9]Hsiang-Fu Yu:
Hybrid Broadcasting With Small Buffer Demand and Waiting Time for Video-on-Demand Applications. IEEE Trans. Broadcast. 54(2): 304-311 (2008) - [c14]Yao-Tien Wang, Chung-Ming Ou, Hsiang-Fu Yu:
Hierarchical Genetic Algorithms for Channel Allocation in Wireless Networks. APSCC 2008: 168-173 - [c13]Hsiang-Fu Yu, Hung-Chang Yang, Chu-Yi Chien, Yao-Tien Wang:
A Limited-Client-Capability Broadcasting Scheme for VoD Applications. ICN 2008: 192-196 - [c12]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: 738-747 - [c11]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: 807-810 - 2007
- [j8]Hsiang-Fu Yu, Hung-Chang Yang, Li-Ming Tseng:
Reverse Fast Broadcasting (RFB) for Video-on-Demand Applications. IEEE Trans. Broadcast. 53(1): 103-111 (2007) - 2006
- [j7]Hsiang-Fu Yu, Hung-Chang Yang, Pin-Han Ho, Yi-Ming Chen, Li-Ming Tseng:
A smooth broadcasting scheme for VBR-encoded hot videos. Comput. Commun. 29(15): 2904-2916 (2006) - [c10]Hung-Chang Yang, Hsiang-Fu Yu, Zeng-Yuan Yang, Li-Ming Tseng, Yi-Ming Chen:
A Live Harmonic Broadcasting Scheme for VBR-Encoded Hot Videos. WWIC 2006: 236-246 - 2005
- [j6]Hsiang-Fu Yu, Hung-Chang Yang, Li-Ming Tseng, Yi-Ming Chen:
The enhanced staircase broadcasting for VBR videos. Comput. Commun. 28(17): 1903-1909 (2005) - [c9]Hung-Chang Yang, Hsiang-Fu Yu, Li-Ming Tseng, Yi-Ming Chen:
An efficient staircase-harmonic scheme for broadcasting popular videos. CCNC 2005: 122-127 - [c8]Hung-Chang Yang, Hsiang-Fu Yu, Li-Ming Tseng, Yi-Ming Chen:
Short-Delay Video Streaming with Restricted Supplying Peer Bandwidth. MMNS 2005: 362-370 - 2004
- [j5]Hsiang-Fu Yu, Yi-Ming Chen, Li-Ming Tseng:
Archive knowledge discovery by proxy cache. Internet Res. 14(1): 34-47 (2004) - [j4]Julian Liu, Su-Chiu Yang, Hsiang-Fu Yu, Li-Ming Tseng:
Content Delivery Network with Hot-Video Broadcasting and Peer-to-Peer Approach. J. Inf. Sci. Eng. 20(6): 1125-1139 (2004) - [c7]Hsiang-Fu Yu, Hung-Chang Yang, Li-Ming Tseng, Yi-Ming Chen:
Simple VBR staircase broadcasting (SVSB). CCNC 2004: 128-133 - [c6]Hsiang-Fu Yu, Hung-Chang Yang, Yi-Ming Chen, Li-Ming Tseng:
A Smooth Recursive Frequency-Splitting Scheme for Broadcasting VBR-Encoded Hot Videos. HSNMC 2004: 950-960 - [c5]Hung-Chang Yang, Hsiang-Fu Yu, Li-Ming Tseng, Yi-Ming Chen:
Interleaving Staircase Broadcasting and Receiving Scheme with Loss-Anticipation Delivery. International Conference on Internet Computing 2004: 352-355 - [c4]Hung-Chang Yang, Hsiang-Fu Yu, Li-Ming Tseng, Yi-Ming Chen:
Fast and lossless broadcasting schemes for VBR-encoded hot videos. ICON 2004: 165-169 - [c3]Hung-Chang Yang, Hsiang-Fu Yu, Li-Ming Tseng, Yi-Ming Chen:
Interleaving harmonic broadcasting and receiving scheme with loss-anticipation delivery. ISCC 2004: 600-605 - [c2]Hsiang-Fu Yu, Hung-Chang Yang, Yi-Ming Chen, Li-Ming Tseng, Chen-Yi Kuo:
Smooth Fast Broadcasting (SFB) for Compressed Videos. WWIC 2004: 272-283 - 2003
- [j3]Hsiang-Fu Yu, Yi-Ming Chen, Shih-Yong Wang, Li-Ming Tseng:
Improving Internet archive service through proxy cache. Internet Res. 13(1): 61-71 (2003) - [j2]Hung-Chang Yang, Hsiang-Fu Yu, Li-Ming Tseng:
Adaptive Live Broadcasting for Highly-Demand Videos. J. Inf. Sci. Eng. 19(3): 531-549 (2003) - 2002
- [j1]Hsiang-Fu Yu, Li-Ming Tseng:
Abnormal Web usage control by proxy strategies. Internet Res. 12(1): 66-75 (2002) - [c1]Hung-Chang Yang, Hsiang-Fu Yu, Li-Ming Tseng:
Adaptive Live Broadcasting for Highly-Demanded Videos. ICPADS 2002: 410-
Coauthor Index
[j35] [j34] [c49] [j33] [c48] [c46] [c45] [c43] [i26] [i25] [i24] [c42] [c41] [c40] [c39] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [c37] [c36] [c35] [i15] [i14] [i13] [c34] [c33] [c31] [c30] [i12] [i11] [i10] [i8] [c28] [c27] [j31] [c25] [c24] [i6] [c23] [c22] [c21] [i5] [i4] [j28] [j26] [c20] [i3] [i2] [i1] [c18]
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