Optimal Power Allocation for Linear Dispersion Codes Over Correlated MIMO Channels with Channel State Feedback. - Che Lin; Vasanthan Raghavan; Venugopal V. Veeravalli (GLOBECOM, 2007)

A Limited Feedback Scheme for Linear Dispersion Codes Over Correlated MIMO Channels. - Che Lin; Venugopal V. Veeravalli (ICASSP (3), 2007)

Limited feedback space-time coding in correlated MIMO channels. - Che Lin; Vasanthan Raghavan; Venugopal V. Veeravalli (CISS, 2008)

Distributed Beamforming with Feedback: Convergence Analysis - Che Lin; Venugopal V. Veeravalli; Sean P. Meyn (CoRR, 2008)

To code or not to code across time: space-time coding with feedback. - Che Lin; Vasanthan Raghavan; Venugopal V. Veeravalli (IEEE J. Sel. Areas Commun., 2008)

Optimal linear dispersion codes for correlated MIMO channels. - Che Lin; Venugopal V. Veeravalli (IEEE Trans. Wirel. Commun., 2008)

Multiantenna Communications in the Presence of Feedback - Che Lin (2008)

A Random Search Framework for Convergence Analysis of Distributed Beamforming With Feedback. - Che Lin; Venugopal V. Veeravalli; Sean P. Meyn (IEEE Trans. Inf. Theory, 2010)

A general proof of convergence for adaptive distributed beamforming schemes. - Chang-Ching Chen; Chia-Shiang Tseng; Che Lin (ICASSP, 2011)

A convex approximation approach to weighted sum rate maximization of multiuser MISO interference channel under outage constraints. - Wei-Chiang Li; Tsung-Hui Chang; Che Lin; Chong-Yung Chi (ICASSP, 2011)

A Bio-Inspired Robust Adaptive Random Search Algorithm for Distributed Beamforming. - Chia-Shiang Tseng; Chang-Ching Chen; Che Lin (ICC, 2011)

Deterministic bisection search algorithm for distributed sensor/relay networks. - Juwendo Denis; Chia-Shiang Tseng; Cheng-Wei Lee 003; Chia-Yu Tsai; Che Lin (GLOBECOM, 2012)

Outage constrained weighted sum rate maximization for MISO interference channel by pricing-based optimization. - Wei-Chiang Li; Tsung-Hui Chang; Che Lin; Chong-Yung Chi (ICASSP, 2013)

Systematic design methodology for robust genetic transistors based on I/O specifications via promoter-RBS libraries. - Yi-Ying Lee; Chih-Yuan Hsu; Ling-Jiun Lin; Chih-Chun Chang; Hsiao-Chun Cheng; Tsung-Hsien Yeh; Rei-Hsing Hu; Che Lin; Zhen Xie; Bor-Sen Chen (BMC Syst. Biol., 2013)

Interspecies protein-protein interaction network construction for characterization of host-pathogen interactions: a Candida albicans-zebrafish interaction study. - Yu-Chao Wang; Che Lin; Ming-Ta Chuang; Wen-Ping Hsieh; Chung-Yu Lan; Yung-Jen Chuang; Bor-Sen Chen (BMC Syst. Biol., 2013)

Coordinated Beamforming for Multiuser MISO Interference Channel Under Rate Outage Constraints. - Wei-Chiang Li; Tsung-Hui Chang; Che Lin; Chong-Yung Chi (IEEE Trans. Signal Process., 2013)

Achieving Pareto Optimal Power Tracking Control for Interference Limited Wireless Systems via Multi-Objective H_2/H_infty Optimization. - Che Lin; Bor-Sen Chen (IEEE Trans. Wirel. Commun., 2013)

Bearing angle based cooperative source localization. - Che Lin; Guofei Chai; Zhiyun Lin; Gangfeng Yan; Guoqiang Mao (CDC, 2014)

Robustness analysis on interspecies interaction network for iron and glucose competition between Candida albicans and zebrafish during infection. - Che Lin; Chin-Nan Lin; Yu-Chao Wang; Fang-Yu Liu; Yu-Wen Chien; Yung-Jen Chuang; Chung-Yu Lan; Wen-Ping Hsieh; Bor-Sen Chen (BMC Syst. Biol., 2014)

The role of TGF-β signaling and apoptosis in innate and adaptive immunity in zebrafish: a systems biology approach. - Che Lin; Chin-Nan Lin; Yu-Chao Wang; Fang-Yu Liu; Yung-Jen Chuang; Chung-Yu Lan; Wen-Ping Hsieh; Bor-Sen Chen (BMC Syst. Biol., 2014)

Outage-Constrained Coordinated Beamforming With Opportunistic Interference Cancellation. - Che Lin; Chia-Jou Lu; Wei-Hao Chen (IEEE Trans. Signal Process., 2014)

On the Robust Design of Adaptive Distributed Beamforming for Wireless Sensor/Relay Networks. - Chia-Shiang Tseng; Juwendo Denis; Che Lin (IEEE Trans. Signal Process., 2014)

Adaptive Distributed Beamforming for Amplify-and-Forward Relay Networks: Convergence Analysis. - Chang-Ching Chen; Chia-Shiang Tseng; Juwendo Denis; Che Lin (IEEE Trans. Wirel. Commun., 2014)

Deterministic Differential Search Algorithm for Distributed Sensor/Relay Networks. - Po-Chun Fu; Pei-Rong Li; Li-Ming Wei; Chang-Lin Chen; Che Lin (CoRR, 2015)

Energy-Efficient Deterministic Adaptive Beamforming Algorithms for Distributed Sensor/Relay Networks. - Chun-Wei Li; Kuo-Ming Chen; Po-Chun Fu; Wei-Ning Chen; Che Lin (CoRR, 2015)

Systematic Biological Filter Design with a Desired I/O Filtering Response Based on Promoter-RBS Libraries. - Chih-Yuan Hsu; Zhen-Ming Pan; Rei-Hsing Hu; Chih-Chun Chang; Hsiao-Chun Cheng; Che Lin; Bor-Sen Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Single landmark based collaborative multi-agent localization with time-varying range measurements and information sharing. - Guofei Chai; Che Lin; Zhiyun Lin; Minyue Fu 001 (Syst. Control. Lett., 2016)

Distributed Source Localization of Multi-Agent Systems With Bearing Angle Measurements. - Che Lin; Zhiyun Lin; Ronghao Zheng; Gangfeng Yan; Guoqiang Mao (IEEE Trans. Autom. Control., 2016)

Probabilistic Power Allocation for Cognitive Radio Networks With Outage Constraints and One-Bit Side Information. - Wei-Hao Chen; Wei-Ren Lin; Ho-Chun Tsao; Che Lin (IEEE Trans. Signal Process., 2016)

Utility maximization for MISO bursty interference channel under traffic uncertainties. - Chao-Lin Chen; Li-Yu Wang; Che Lin (SPAWC, 2017)

Energy efficient beamforming design with SWIPT for heterogeneous cellular networks. - Li-Yu Wang; Chao-Lin Chen; Che Lin (SPAWC, 2017)

On the Optimal Power Allocation for Two-Way Full-Duplex AF Relay Networks. - Jyun-Wei Li; Che Lin (IEEE Trans. Signal Process., 2017)

Utility Maximization for Two-Way AF Relaying Under Rate Outage Constraints. - Chang-Lin Chen; Che Lin (IEEE Trans. Wirel. Commun., 2017)

Energy Efficiency Maximization in Multi-User Miso Mixed RF/VLC Heterogeneous Cellular Networks. - Yi Chun Hsiao; Chien-Ming Chen 001; Che Lin (SECON, 2018)

Utility Maximization for MISO Bursty Interference Channels. - Ho-Chun Tsao; Che Lin (WCSP, 2018)

Uncovering the regeneration strategies of zebrafish organs: a comprehensive systems biology study on heart, cerebellum, fin, and retina regeneration. - Fang-Yu Liu; Te-Cheng Hsu; Patrick Choong; Min-Hsuan Lin; Yung-Jen Chuang; Bor-Sen Chen; Che Lin (BMC Syst. Biol., 2018)

Convergence analysis of distributed Kalman filtering for relative sensing networks. - Che Lin; Ronghao Zheng; Gangfeng Yan; Shiyuan Lu (Frontiers Inf. Technol. Electron. Eng., 2018)

A Learning-Based Expected Best Offloading Strategy in Wireless Edge Networks. - Yi-Chen Wu; Thinh Quang Dinh; Yaru Fu; Che Lin; Tony Q. S. Quek (GLOBECOM, 2019)

Enhanced Recurrent Neural Network for Combining Static and Dynamic Features for Credit Card Default Prediction. - Te-Cheng Hsu; Shing-Tzuo Liou; Yun-Ping Wang; Yung-Shun Huang; Che Lin (ICASSP, 2019)

Robust Beamforming Design for MISO Bursty Interference Channels Under Traffic Uncertainties. - Chao-Lin Chen; Jun-Ting Liu; Yi-Chun Hsiao; Chien-Ming Chen 001; Ho-Chun Tsao; Che Lin (IEEE Trans. Signal Process., 2019)

Energy-Efficient Beamforming Design for MU-MISO Mixed RF/VLC Heterogeneous Wireless Networks. - Yi-Chun Hsiao; Yi-Chen Wu; Che Lin (IEEE Trans. Signal Process., 2019)

Generative Adversarial Networks for Robust Breast Cancer Prognosis Prediction with Limited Data Size. - Te-Cheng Hsu; Che Lin (EMBC, 2020)

A Robust Hierarchical Learning Approach for dynamic MEC Networks. - Yi-Chen Wu; Che Lin; Tony Q. S. Quek (GLOBECOM, 2020)

Stock Movement Prediction That Integrates Heterogeneous Data Sources Using Dilated Causal Convolution Networks with Attention. - Divyanshu Daiya; Min-Sheng Wu; Che Lin (ICASSP, 2020)

Training with Small Medical Data: Robust Bayesian Neural Networks for Colon Cancer Overall Survival Prediction. - Te-Cheng Hsu; Che Lin (EMBC, 2021)

Stock Movement Prediction and Portfolio Management via Multimodal Learning with Transformer. - Divyanshu Daiya; Che Lin (ICASSP, 2021)

A Hybrid DQN and Optimization Approach for Strategy and Resource Allocation in MEC Networks. - Yi-Chen Wu; Thinh Quang Dinh; Yaru Fu; Che Lin; Tony Q. S. Quek (IEEE Trans. Wirel. Commun., 2021)

A Robust Distributed Hierarchical Online Learning Approach for Dynamic MEC Networks. - Yi-Chen Wu; Che Lin; Tony Q. S. Quek (IEEE J. Sel. Areas Commun., 2022)

A Compare-and-contrast Multistage Pipeline for Uncovering Financial Signals in Financial Reports. - Jia-Huei Ju; Yu-Shiang Huang; Cheng-Wei Lin; Che Lin; Chuan-Ju Wang (ACL (1), 2023)

Predicting Neurological Outcomes of Comatose Cardiac Arrest Patients Using Transformer Neural Networks with EEG Data. - Jefferson Dionisio; Che Lin; Lian-Yu Lin; Wen-Chau Wu (CinC, 2023)

Meta-EHR: A meta-learning approach for electronic health records with a high imbalanced ratio and missing rate. - Hsu-Hsiang Chang; Te-Cheng Hsu; Yi-Hsien Hsieh; Che Lin (EMBC, 2023)

X-RIM: Extreme Recurrent Independent Mechanisms for Noise-resistant and Interpretable Stroke Risk Prediction. - Yi-Hsien Hsieh; Jung-Chi Hsu; Che Lin; Lian-Yu Lin (EMBC, 2023)

Utilizing Graph Neural Networks for Breast Cancer Prognosis Prediction with High-dimensional Genomic Data. - Tzu-Chen Huang; Te-Cheng Hsu; Yi-Hsien Hsieh; Che Lin (EMBC, 2023)

NG-DTA: Drug-target affinity prediction with n-gram molecular graphs. - Lok-In Tsui; Te-Cheng Hsu; Che Lin (EMBC, 2023)

TreeXGNN: can gradient-boosted decision trees help boost heterogeneous graph neural networks? - Ming-Yi Hong 002; Shih-Yen Chang; Hao-Wei Hsu; Yi-Hsiang Huang; Chih-Yu Wang 001; Che Lin (ICASSP, 2023)

LE-DTA: Local Extrema Convolution for Drug Target Affinity Prediction. - Tanoj Langore; Te-Cheng Hsu; Yi-Hsien Hsieh; Che Lin (ICASSP, 2023)

Redundant Lagrange Interpolation for Fault-Tolerant Winograd Convolution. - Che Lin; Heng Hsu; Tsung-Chu Huang (ICCE-Taiwan, 2023)

A GAN Approach for Node Embedding in Heterogeneous Graphs Using Subgraph Sampling. - Hung Chun Hsu; Bo-Jun Wu; Ming-Yi Hong 002; Che Lin; Chih-Yu Wang 001 (CoRR, 2023)

ReViT: A Hybrid Approach for BCLC Staging of Hepatocellular Carcinoma Using 3D CT with Multiple Instance Learning. - Shun-Cheng Chang; Hsin-Pei Yu; Yi-Hsien Hsieh; Pochuang Wang; Weichung Wang; Tung-Hung Su; Jia-Horng Kao; Che Lin (BHI, 2024)

Is Attention All You Need for EEG to Predict Neurological Outcomes in Cardiac Arrest? - Jefferson Dionisio; Muhammad Rizwan; Hidetaka Suzuki; Kazi Mahmudul Hassan; Ingon Chanpornpakdi; Lian-Yu Lin; Toshihisa Tanaka 001; Che Lin (BHI, 2024)

Predicting Microsatellite Instability from Histology Images with Dilated Neighborhood Attention Transformer in Colorectal Cancer. - Yun-Chi Chen; Tung Chao; Wimaya Nitya Phandita; Tzu-Yu Sun; Huai-Zhi Wang; Yi-Hsien Hsieh; Le-Yin Hsu; Che Lin (BIBE, 2024)

A BCLC Staging System for Hepatocellular Carcinoma using Swin Transformer and CT Imaging. - Shun-Cheng Chang; Pochuang Wang; Weichung Wang; Tung-Hung Su; Jia-Horng Kao; Che Lin (EMBC, 2024)

Deep STI: Deep Stochastic Time-series Imputation on Electronic Health Records. - Ming-Che Cheng; Yi-Hsien Hsieh; Te-Cheng Hsu; Tung-Hung Su; Che Lin (EMBC, 2024)

Multi-task Learning Graph Neural Networks for Cancer Prognosis Prediction with Genomic Data. - Tsung-Wei Lin; Sofia Ormazabal Arriagada; Che Lin (EMBC, 2024)

FincGAN: A Gan Framework of Imbalanced Node Classification on Heterogeneous Graph Neural Network. - Hung Chun Hsu; Ting-Le Lin; Bo-Jun Wu; Ming-Yi Hong 002; Che Lin; Chih-Yu Wang 001 (ICASSP, 2024)

Push4Rec: Temporal and Contextual Trend-Aware Transformer Push Notification Recommender. - Chu-Chun Yu; Ming-Yi Hong 002; Chiok-Yew Ho; Che Lin (ICASSP, 2024)

SynHIN: Generating Synthetic Heterogeneous Information Network for Explainable AI. - Ming-Yi Hong 002; Yi-Hsiang Huang; You-Chen Teng; Chih-Yu Wang 001; Che Lin (CoRR, 2024)

Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning. - Chun-Kai Huang; Yi-Hsien Hsieh; Ta-Jung Chien; Li-Cheng Chien; Shao-Hua Sun; Tung-Hung Su; Jia-Horng Kao; Che Lin (CoRR, 2024)

Multimodal Attention Network for Dementia Prediction. - Hsinhan Tsai; Ta-Wei Yang; Kai-Hao Ou; Tung-Hung Su; Che Lin; Cheng-Fu Chou (IEEE J. Biomed. Health Informatics, 2024)

Robust Policy Learning for Multi-UAV Collision Avoidance with Causal Feature Selection. - Jiafan Zhuang; Gaofei Han; Zihao Xia; Che Lin; Boxi Wang; Dongliang Wang; Wenji Li; Zhifeng Hao; Ruichu Cai; Zhun Fan (AAMAS, 2025)

BETag: Behavior-enhanced Item Tagging with Finetuned Large Language Models. - Shao-En Lin; Brian Liu; Miao-Chen Chiang; Ming-Yi Hong 002; Yu-Shiang Huang; Chuan-Ju Wang; Che Lin (WWW, 2025)

Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information. - Berke Ugurlu; Ming-Yi Hong 002; Che Lin (CoRR, 2025)