Mi-Yen Yeh

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 36

Top Topics

Supervised Learning

Social Influences

Information Diffusion

Top Venues

Publications

Chontipan Plengvittaya, Zee Hen Tang, Mi-Yen Yeh, Chih-Ya Shen
Boosting Patch Correctness Checking via Combining Code-Edit Embeddings as Additional What-to-Change Information. WI/IAT (2023)
Chia-Chen Yen, Mi-Yen Yeh, Ming-Syan Chen
Integrated Multi-Ported Memory Distribution for Temporal-Multiplexing Workloads on FPGAs. ICFPT (2023)
Yen-Ching Tseng, Zu-Mu Chen, Mi-Yen Yeh, Shou-De Lin
UPGAT: Uncertainty-Aware Pseudo-neighbor Augmented Knowledge Graph Attention Network. PAKDD (2) (2023)
Zee Hen Tang, Mi-Yen Yeh
EAGLE: Enhance Target-Oriented Dialogs by Global Planning and Topic Flow Integration. CIKM (2023)
Chia-Chen Yen, Mi-Yen Yeh, Ming-Syan Chen
Unified Multiple Constant Multipliers for Dynamic Exchange of Low-Precision Kernels on FPGAs. IEEE Trans. Circuits Syst. II Express Briefs 69 (3) (2022)
Zhu-Mu Chen, Mi-Yen Yeh, Tei-Wei Kuo
PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding. AAAI (2021)
Han-Hsien Huang, Mi-Yen Yeh
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization. AAAI (2021)
Chih-Hsien Fang, Yi-Ling Chen, Mi-Yen Yeh, Yan-Shuo Lin
Multi-head Attention with Hint Mechanisms for Joint Extraction of Entity and Relation. DASFAA (Workshops) (2021)
Khurshed Ali, Chih-Yu Wang, Mi-Yen Yeh, Cheng-Te Li, Yi-Shin Chen
NEDRL-CIM: Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks. DSAA (2021)
Szu-Yuan Cheng, Yi-Ling Chen, Mi-Yen Yeh, Bo-Tao Lin
Exploiting Relevant Hyperlinks in Knowledge Base for Entity Linking. PAKDD (2) (2021)
Han-Hsien Huang, Mi-Yen Yeh
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization. CoRR (2020)
Khurshed Ali, Chih-Yu Wang, Mi-Yen Yeh, Yi-Shin Chen
Addressing Competitive Influence Maximization on Unknown Social Network with Deep Reinforcement Learning. ASONAM (2020)
Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh, Shou-De Lin
MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes. WWW (2019)
Shan-Yun Teng, Lo Pang-Yun Ting, Mi-Yen Yeh, Kun-Ta Chuang
Worship prediction: identify followers in celebrity-dived networks. World Wide Web 22 (1) (2019)
Yi-An Lai, Chin-Chi Hsu, Wen-Hao Chen, Mi-Yen Yeh, Shou-De Lin
DeepRank: improving unsupervised node ranking via link discovery. Data Min. Knowl. Discov. 33 (2) (2019)
Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin
Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification. Frontiers Big Data 2 (2019)
Yu-Chen Wu, Mi-Yen Yeh, Tei-Wei Kuo
Fast Frequent Pattern Mining without Candidate Generations on GPU by Low Latency Memory Allocation. IEEE BigData (2019)
Su-Chen Lin, Mi-Yen Yeh, Ming-Syan Chen
Non-Overlapping Subsequence Matching of Stream Synopses. IEEE Trans. Knowl. Data Eng. 30 (1) (2018)
Cheng-Te Li, Yu-Jen Lin, Mi-Yen Yeh
Forecasting participants of information diffusion on social networks with its applications. Inf. Sci. 422 (2018)
Wush Chi-Hsuan Wu, Mi-Yen Yeh, Ming-Syan Chen
Deep Censored Learning of the Winning Price in the Real Time Bidding. KDD (2018)
Chien-Wei Chang, Mi-Yen Yeh, Kun-Ta Chuang
Node reactivation model to intensify influence on network targets. Knowl. Inf. Syst. 54 (3) (2018)
Chin-Chi Hsu, Mi-Yen Yeh, Shou-De Lin
A General Framework for Implicit and Explicit Social Recommendation. IEEE Trans. Knowl. Data Eng. 30 (12) (2018)
Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin
Attribute-aware Collaborative Filtering: Survey and Classification. CoRR (2018)
Yi-An Lai, Chin-Chi Hsu, Wen-Hao Chen, Mi-Yen Yeh, Shou-De Lin
PRUNE: Preserving Proximity and Global Ranking for Network Embedding. NIPS (2017)
Cheng-Chin Tu, Mi-Yen Yeh, Tei-Wei Kuo
A fast non-volatile memory aware algorithm for generating random scale-free networks. IEEE BigData (2017)
Chun-Yen Kuo, Mi-Yen Yeh, Jian Pei
Principal Patern Mining on Graphs. ASONAM (2017)
Chien-Wei Chang, Mi-Yen Yeh, Kun-Ta Chuang
On the guarantee of containment probability in influence minimization. ASONAM (2016)
Yu-Jen Lin, Mi-Yen Yeh, Fang-Yi Chiu, Ya-Hui Chan, Chia-Chi Wu
Predicting popularity of articles on bulletin board system. BigComp (2016)
Han Xiao, Shou-De Lin, Mi-Yen Yeh, Phillip B. Gibbons, Claudia Eckert
Learning better while sending less: Communication-efficient online semi-supervised learning in client-server settings. DSAA (2015)
Chien-Wei Chang, Mi-Yen Yeh, Kun-Ta Chuang
On Influence Maximization to Target Users in the Presence of Multiple Acceptances. ASONAM (2015)
Cheng-Te Li, Yu-Jen Lin, Rui Yan, Mi-Yen Yeh
Trend-Based Citation Count Prediction for Research Articles. PAKDD (1) (2015)
Wush Chi-Hsuan Wu, Mi-Yen Yeh, Ming-Syan Chen
Predicting Winning Price in Real Time Bidding with Censored Data. KDD (2015)
Chin-Chi Hsu, Perng-Hwa Kung, Mi-Yen Yeh, Shou-De Lin, Phillip B. Gibbons
Bandwidth-efficient distributed k-nearest-neighbor search with dynamic time warping. IEEE BigData (2015)
Jhao-Yin Li, Mi-Yen Yeh, Ming-Syan Chen, Jihg-Hong Lin
Modeling social influences from call records and mobile web browsing histories. IEEE BigData (2015)
Cheng-Te Li, Yu-Jen Lin, Mi-Yen Yeh
The roles of network communities in social information diffusion. IEEE BigData (2015)
Shan-Yun Teng, Mi-Yen Yeh, Kun-Ta Chuang
Toward Understanding the Mobile Social Properties: An Analysis on Instagram Photo-Sharing Network. ASONAM (2015)
Pei-Lun Suei, Mi-Yen Yeh, Tei-Wei Kuo
Endurance-Aware Flash-Cache Management for Storage Servers. IEEE Trans. Computers 63 (10) (2014)
Wan-Hsin Tang, Mi-Yen Yeh, Anthony J. T. Lee
Information diffusion among users on Facebook fan pages over time: Its impact on movie box office. DSAA (2014)
Hua-Wei Fang, Mi-Yen Yeh, Pei-Lun Suei, Tei-Wei Kuo
-Tree for Flash Memory Storage Systems. IEEE Trans. Computers 63 (11) (2014)
Jun-Li Lu, Ling-Yin Wei, Mi-Yen Yeh
Influence maximization in a social network in the presence of multiple influences and acceptances. DSAA (2014)
Huey-Ru Wu, Mi-Yen Yeh, Ming-Syan Chen
Profiling Moving Objects by Dividing and Clustering Trajectories Spatiotemporally. IEEE Trans. Knowl. Data Eng. 25 (11) (2013)
Jen-Hai Chou, Mi-Yen Yeh
An anonymous matching system based on mobile numbers. MobiSys (2013)
Jui-Pin Wang, Yu-Chen Lu, Mi-Yen Yeh, Shou-De Lin, Phillip B. Gibbons
Communication-Efficient Distributed Multiple Reference Pattern Matching for M2M Systems. ICDM (2013)
Hua-Wei Fang, Mi-Yen Yeh, Tei-Wei Kuo
MLC-flash-friendly logging and recovery for databases. SAC (2013)
Hao-Hsiang Wu, Mi-Yen Yeh
Influential Nodes in a One-Wave Diffusion Model for Location-Based Social Networks. PAKDD (2) (2013)
Yi-Chen Lo, Jhao-Yin Li, Mi-Yen Yeh, Shou-De Lin, Jian Pei
What distinguish one from its peers in social networks? Data Min. Knowl. Discov. 27 (3) (2013)
Jian Pei, Wush Chi-Hsuan Wu, Mi-Yen Yeh
On shortest unique substring queries. ICDE (2013)
Ling-Yin Wei, Mi-Yen Yeh, Grace Lin, Ya-Hui Chan, Wei Jung Lai
Discovering Point-of-Interest Signatures Based on Group Features from Geo-social Networking Data. TAAI (2013)
Chia-Chen Yen, Mi-Yen Yeh, Ming-Syan Chen
An Efficient Approach to Updating Closeness Centrality and Average Path Length in Dynamic Networks. ICDM (2013)
Wush Chi-Hsuan Wu, Mi-Yen Yeh, Jian Pei
Random Error Reduction in Similarity Search on Time Series: A Statistical Approach. ICDE (2012)
Jhao-Yin Li, Mi-Yen Yeh
On Sampling Type Distribution from Heterogeneous Social Networks. PAKDD (2) (2011)
Kai-Ping Chang, Ling-Yin Wei, Mi-Yen Yeh, Wen-Chih Peng
Discovering personalized routes from trajectories. GIS-LBSN (2011)
Hua-Wei Fang, Mi-Yen Yeh, Pei-Lun Suei, Tei-Wei Kuo
-tree with endurance-awareness. ESTIMedia (2011)
Su-Chen Lin, Mi-Yen Yeh, Ming-Syan Chen
Subsequence Matching of Stream Synopses under the Time Warping Distance. PAKDD (2) (2010)
Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen
PROUD: a probabilistic approach to processing similarity queries over uncertain data streams. EDBT (2009)
Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen
NN queries over distributed streams. Proc. VLDB Endow. 1 (1) (2008)
Mi-Yen Yeh, Bi-Ru Dai, Ming-Syan Chen
Clustering over Multiple Evolving Streams by Events and Correlations. IEEE Trans. Knowl. Data Eng. 19 (10) (2007)
Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, Ming-Syan Chen
Adaptive Clustering for Multiple Evolving Streams. IEEE Trans. Knowl. Data Eng. 18 (9) (2006)
Mi-Yen Yeh, Bi-Ru Dai, Ming-Syan Chen
COMET: Event-Driven Clustering over Multiple Evolving Streams. PAKDD (2006)
Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, Ming-Syan Chen
Clustering on Demand for Multiple Data Streams. ICDM (2004)