Clustering on Demand for Multiple Data Streams. - Bi-Ru Dai; Jen-Wei Huang; Mi-Yen Yeh; Ming-Syan Chen (ICDM, 2004)

COMET: Event-Driven Clustering over Multiple Evolving Streams. - Mi-Yen Yeh; Bi-Ru Dai; Ming-Syan Chen (PAKDD, 2006)

Adaptive Clustering for Multiple Evolving Streams. - Bi-Ru Dai; Jen-Wei Huang; Mi-Yen Yeh; Ming-Syan Chen (IEEE Trans. Knowl. Data Eng., 2006)

Clustering over Multiple Evolving Streams by Events and Correlations. - Mi-Yen Yeh; Bi-Ru Dai; Ming-Syan Chen (IEEE Trans. Knowl. Data Eng., 2007)

LeeWave: level-wise distribution of wavelet coefficients for processing kNN queries over distributed streams. - Mi-Yen Yeh; Kun-Lung Wu; Philip S. Yu; Ming-Syan Chen (Proc. VLDB Endow., 2008)

PROUD: a probabilistic approach to processing similarity queries over uncertain data streams. - Mi-Yen Yeh; Kun-Lung Wu; Philip S. Yu; Ming-Syan Chen (EDBT, 2009)

Subsequence Matching of Stream Synopses under the Time Warping Distance. - Su-Chen Lin; Mi-Yen Yeh; Ming-Syan Chen (PAKDD (2), 2010)

A flash-friendly B+-tree with endurance-awareness. - Hua-Wei Fang; Mi-Yen Yeh; Pei-Lun Suei; Tei-Wei Kuo (ESTIMedia, 2011)

Discovering personalized routes from trajectories. - Kai-Ping Chang; Ling-Yin Wei; Mi-Yen Yeh; Wen-Chih Peng (GIS-LBSN, 2011)

On Sampling Type Distribution from Heterogeneous Social Networks. - Jhao-Yin Li; Mi-Yen Yeh (PAKDD (2), 2011)

Random Error Reduction in Similarity Search on Time Series: A Statistical Approach. - Wush Chi-Hsuan Wu; Mi-Yen Yeh; Jian Pei 001 (ICDE, 2012)

On shortest unique substring queries. - Jian Pei 001; Wush Chi-Hsuan Wu; Mi-Yen Yeh (ICDE, 2013)

Communication-Efficient Distributed Multiple Reference Pattern Matching for M2M Systems. - Jui-Pin Wang; Yu-Chen Lu; Mi-Yen Yeh; Shou-De Lin; Phillip B. Gibbons (ICDM, 2013)

An Efficient Approach to Updating Closeness Centrality and Average Path Length in Dynamic Networks. - Chia-Chen Yen; Mi-Yen Yeh; Ming-Syan Chen (ICDM, 2013)

An anonymous matching system based on mobile numbers. - Jen-Hai Chou; Mi-Yen Yeh (MobiSys, 2013)

Influential Nodes in a One-Wave Diffusion Model for Location-Based Social Networks. - Hao-Hsiang Wu; Mi-Yen Yeh (PAKDD (2), 2013)

MLC-flash-friendly logging and recovery for databases. - Hua-Wei Fang; Mi-Yen Yeh; Tei-Wei Kuo (SAC, 2013)

Discovering Point-of-Interest Signatures Based on Group Features from Geo-social Networking Data. - Ling-Yin Wei; Mi-Yen Yeh; Grace Lin; Ya-Hui Chan; Wei Jung Lai (TAAI, 2013)

What distinguish one from its peers in social networks? - Yi-Chen Lo; Jhao-Yin Li; Mi-Yen Yeh; Shou-De Lin; Jian Pei 001 (Data Min. Knowl. Discov., 2013)

Profiling Moving Objects by Dividing and Clustering Trajectories Spatiotemporally. - Huey-Ru Wu; Mi-Yen Yeh; Ming-Syan Chen (IEEE Trans. Knowl. Data Eng., 2013)

Influence maximization in a social network in the presence of multiple influences and acceptances. - Jun-Li Lu; Ling-Yin Wei; Mi-Yen Yeh (DSAA, 2014)

Information diffusion among users on Facebook fan pages over time: Its impact on movie box office. - Wan-Hsin Tang; Mi-Yen Yeh; Anthony J. T. Lee (DSAA, 2014)

Communication-efficient multi-view keyframe extraction in distributed video sensors. - Shun-Hsing Ou; Yu-Chen Lu; Jui-Pin Wang; Shao-Yi Chien; Shou-De Lin; Mi-Yen Yeh; Chia-Han Lee; Phillip B. Gibbons; V. Srinivasa Somayazulu; Yen-Kuang Chen (VCIP, 2014)

An Adaptive Endurance-Aware B+-Tree for Flash Memory Storage Systems. - Hua-Wei Fang; Mi-Yen Yeh; Pei-Lun Suei; Tei-Wei Kuo (IEEE Trans. Computers, 2014)

Endurance-Aware Flash-Cache Management for Storage Servers. - Pei-Lun Suei; Mi-Yen Yeh; Tei-Wei Kuo (IEEE Trans. Computers, 2014)

On Influence Maximization to Target Users in the Presence of Multiple Acceptances. - Chien-Wei Chang; Mi-Yen Yeh; Kun-Ta Chuang (ASONAM, 2015)

Toward Understanding the Mobile Social Properties: An Analysis on Instagram Photo-Sharing Network. - Shan-Yun Teng; Mi-Yen Yeh; Kun-Ta Chuang (ASONAM, 2015)

Bandwidth-efficient distributed k-nearest-neighbor search with dynamic time warping. - Chin-Chi Hsu; Perng-Hwa Kung; Mi-Yen Yeh; Shou-De Lin; Phillip B. Gibbons (IEEE BigData, 2015)

The roles of network communities in social information diffusion. - Cheng-Te Li; Yu-Jen Lin; Mi-Yen Yeh (IEEE BigData, 2015)

Modeling social influences from call records and mobile web browsing histories. - Jhao-Yin Li; Mi-Yen Yeh; Ming-Syan Chen; Jihg-Hong Lin (IEEE BigData, 2015)

Learning better while sending less: Communication-efficient online semi-supervised learning in client-server settings. - Han Xiao 002; Shou-De Lin; Mi-Yen Yeh; Phillip B. Gibbons; Claudia Eckert 001 (DSAA, 2015)

Predicting Winning Price in Real Time Bidding with Censored Data. - Wush Chi-Hsuan Wu; Mi-Yen Yeh; Ming-Syan Chen (KDD, 2015)

Trend-Based Citation Count Prediction for Research Articles. - Cheng-Te Li; Yu-Jen Lin; Rui Yan; Mi-Yen Yeh (PAKDD (1), 2015)

On the guarantee of containment probability in influence minimization. - Chien-Wei Chang; Mi-Yen Yeh; Kun-Ta Chuang (ASONAM, 2016)

Predicting popularity of articles on bulletin board system. - Yu-Jen Lin; Mi-Yen Yeh; Fang-Yi Chiu; Ya-Hui Chan; Chia-Chi Wu (BigComp, 2016)

Principal Patern Mining on Graphs. - Chun-Yen Kuo; Mi-Yen Yeh; Jian Pei 001 (ASONAM, 2017)

A fast non-volatile memory aware algorithm for generating random scale-free networks. - Cheng-Chin Tu; Mi-Yen Yeh; Tei-Wei Kuo (IEEE BigData, 2017)

PRUNE: Preserving Proximity and Global Ranking for Network Embedding. - Yi-An Lai; Chin-Chi Hsu; Wen-Hao Chen; Mi-Yen Yeh; Shou-De Lin (NIPS, 2017)

Deep Censored Learning of the Winning Price in the Real Time Bidding. - Wush Chi-Hsuan Wu; Mi-Yen Yeh; Ming-Syan Chen (KDD, 2018)

Attribute-aware Collaborative Filtering: Survey and Classification. - Wen-Hao Chen; Chin-Chi Hsu; Yi-An Lai; Vincent Liu; Mi-Yen Yeh; Shou-De Lin (CoRR, 2018)

Forecasting participants of information diffusion on social networks with its applications. - Cheng-Te Li; Yu-Jen Lin; Mi-Yen Yeh (Inf. Sci., 2018)

Node reactivation model to intensify influence on network targets. - Chien-Wei Chang; Mi-Yen Yeh; Kun-Ta Chuang (Knowl. Inf. Syst., 2018)

A General Framework for Implicit and Explicit Social Recommendation. - Chin-Chi Hsu; Mi-Yen Yeh; Shou-De Lin (IEEE Trans. Knowl. Data Eng., 2018)

Non-Overlapping Subsequence Matching of Stream Synopses. - Su-Chen Lin; Mi-Yen Yeh; Ming-Syan Chen (IEEE Trans. Knowl. Data Eng., 2018)

Fast Frequent Pattern Mining without Candidate Generations on GPU by Low Latency Memory Allocation. - Yu-Chen Wu; Mi-Yen Yeh; Tei-Wei Kuo (IEEE BigData, 2019)

MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes. - Ming-Han Feng; Chin-Chi Hsu; Cheng-Te Li; Mi-Yen Yeh; Shou-De Lin (WWW, 2019)

DeepRank: improving unsupervised node ranking via link discovery. - Yi-An Lai; Chin-Chi Hsu; Wen-Hao Chen; Mi-Yen Yeh; Shou-De Lin (Data Min. Knowl. Discov., 2019)

Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification. - Wen-Hao Chen; Chin-Chi Hsu; Yi-An Lai; Vincent Liu; Mi-Yen Yeh; Shou-De Lin (Frontiers Big Data, 2019)

Worship prediction: identify followers in celebrity-dived networks. - Shan-Yun Teng; Lo Pang-Yun Ting; Mi-Yen Yeh; Kun-Ta Chuang (World Wide Web, 2019)

Addressing Competitive Influence Maximization on Unknown Social Network with Deep Reinforcement Learning. - Khurshed Ali; Chih-Yu Wang 001; Mi-Yen Yeh; Yi-Shin Chen (ASONAM, 2020)

PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding. - Zhu-Mu Chen; Mi-Yen Yeh; Tei-Wei Kuo (AAAI, 2021)

Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization. - Han-Hsien Huang; Mi-Yen Yeh (AAAI, 2021)

Multi-head Attention with Hint Mechanisms for Joint Extraction of Entity and Relation. - Chih-Hsien Fang; Yi-Ling Chen; Mi-Yen Yeh; Yan-Shuo Lin (DASFAA (Workshops), 2021)

NEDRL-CIM: Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks. - Khurshed Ali; Chih-Yu Wang 001; Mi-Yen Yeh; Cheng-Te Li; Yi-Shin Chen (DSAA, 2021)

Exploiting Relevant Hyperlinks in Knowledge Base for Entity Linking. - Szu-Yuan Cheng; Yi-Ling Chen; Mi-Yen Yeh; Bo-Tao Lin (PAKDD (2), 2021)

Unified Multiple Constant Multipliers for Dynamic Exchange of Low-Precision Kernels on FPGAs. - Chia-Chen Yen; Mi-Yen Yeh; Ming-Syan Chen (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

EAGLE: Enhance Target-Oriented Dialogs by Global Planning and Topic Flow Integration. - Zee Hen Tang; Mi-Yen Yeh (CIKM, 2023)

Integrated Multi-Ported Memory Distribution for Temporal-Multiplexing Workloads on FPGAs. - Chia-Chen Yen; Mi-Yen Yeh; Ming-Syan Chen (ICFPT, 2023)

UPGAT: Uncertainty-Aware Pseudo-neighbor Augmented Knowledge Graph Attention Network. - Yen-Ching Tseng; Zu-Mu Chen; Mi-Yen Yeh; Shou-De Lin (PAKDD (2), 2023)

Boosting Patch Correctness Checking via Combining Code-Edit Embeddings as Additional What-to-Change Information. - Chontipan Plengvittaya; Zee Hen Tang; Mi-Yen Yeh; Chih-Ya Shen (WI/IAT, 2023)

STAR: Spectral Truncation and Rescale for Model Merging. - Yu-Ang Lee; Ching-Yun Ko; Tejaswini Pedapati; I-Hsin Chung; Mi-Yen Yeh; Pin-Yu Chen (NAACL (Short Papers), 2025)

Few-Shot Unlearning for Large Language Models Through Pretrained Soft Prompts. - Zee Hen Tang; Mi-Yen Yeh (PAKDD (5), 2025)