Layered space-time codes for wireless communications using multiple transmit antennas. - Da-Shan Shiu; Joseph M. Kahn (ICC, 1999)

Scalable layered space-time codes for wireless communications: performance analysis and design criteria. - Da-Shan Shiu; Joseph M. Kahn (WCNC, 1999)

Differential pulse-position modulation for power-efficient optical communication. - Da-Shan Shiu; Joseph M. Kahn (IEEE Trans. Commun., 1999)

Shaping and nonequiprobable signaling for intensity-modulated signals. - Da-Shan Shiu; Joseph M. Kahn (IEEE Trans. Inf. Theory, 1999)

Fading correlation and its effect on the capacity of multielement antenna systems. - Da-Shan Shiu; Gerard J. Foschini; Michael J. Gans; Joseph M. Kahn (IEEE Trans. Commun., 2000)

From theory to practice: an overview of MIMO space-time coded wireless systems. - David Gesbert; Mansoor Shafi; Da-shan Shiu; Peter J. Smith 001; Ayman F. Naguib (IEEE J. Sel. Areas Commun., 2003)

Guest editorial: MIMO systems and applications. 1. - Mansoor Shafi; David Gesbert; Da-shan Shiu; Peter J. Smith 001; William H. Tranter (IEEE J. Sel. Areas Commun., 2003)

Guest editorial MIMO systems and applications. II. - Mansoor Shafi; David Gesbert; Da-shan Shiu; Peter J. Smith 001; William H. Tranter (IEEE J. Sel. Areas Commun., 2003)

Single Carrier Modulation with Frequency Domain Equalization for Intensity Modulation-Direct Detection Channels with Intersymbol Interference. - Chia-chen Hsieh; Da-shan Shiu (PIMRC, 2006)

Perturbed Decoding Algorithm for Concatenated Error Correcting and Detecting Codes System. - Kai-ting Shih; Da-shan Shiu (PIMRC, 2006)

Theory and Performance of ML Decoding for Turbo Codes using Genetic Algorithm. - Tsun-chih Hsueh; Da-shan Shiu (ISIT, 2007)

The Theory Behind Perturbed Decoding Algorithm. - Wei-chen Wang; Da-shan Shiu (PIMRC, 2007)

Low Power Consumption Solutions for Instant Messaging on Mobile Devices. - Da-shan Shiu; Ping-Cheng Yeh (VTC Spring, 2008)

Finite Length Analysis of Generalized Expanding Window Fountain Codes. - Chia-Jung Chang; Lung-Sheng Tsai; Da-shan Shiu (VTC Fall, 2009)

Joint Carrier Frequency Offset Estimation and Signal Detection in MIMO BLAST Systems. - Yao-Jen Liang; Jin-Fu Chang; Da-shan Shiu (IEEE Trans. Veh. Technol., 2009)

Capacity scaling and coverage for repeater-aided MIMO systems in line-of-sight environments. - Lung-Sheng Tsai; Da-shan Shiu (IEEE Trans. Wirel. Commun., 2010)

Synthesizing Low Autocorrelation and Low PAPR OFDM Sequences Under Spectral Constraints Through Convex Optimization and GS Algorithm. - Lung-Sheng Tsai; Wei-Ho Chung; Da-shan Shiu (IEEE Trans. Signal Process., 2011)

Lower Bounds on the Correlation Property for OFDM Sequences with Spectral-Null Constraints. - Lung-Sheng Tsai; Wei-Ho Chung; Da-shan Shiu (IEEE Trans. Wirel. Commun., 2011)

On the coverage preservation problem in green cellular networks. - Chen-Yi Chang; Wanjiun Liao; Da-Shan Shiu (GLOBECOM, 2012)

Power consumption optimization for information exchange in wireless-relay sensor networks. - Chen-Yi Chang; Da-Shan Shiu (ICC, 2012)

ML performance bounds of turbo and LDPC codes. - Kuan-Chi Chen; Meng-Lin Wu; Hsiao-Hsien Chen; Da-shan Shiu (WCNC, 2012)

Low Power Consumption Solutions for Mobile Instant Messaging. - Ling-San Meng; Da-shan Shiu; Ping-Cheng Yeh; Kuan-Chi Chen; Hung-Yi Lo (IEEE Trans. Mob. Comput., 2012)

Capacity maximization of energy-harvesting small cells with dynamic sleep mode operation in heterogeneous networks. - Chen-Yi Chang; Kun-Lin Ho; Wanjiun Liao; Da-Shan Shiu (ICC, 2014)

On Optimal Cell Activation for Coverage Preservation in Green Cellular Networks. - Chen-Yi Chang; Wanjiun Liao; Hung-Yun Hsieh; Da-Shan Shiu (IEEE Trans. Mob. Comput., 2014)

Cyclic orthogonal convolutions for long-range integration of features. - Federica Freddi; Jezabel R. Garcia; Michael Bromberg; Sepehr Jalali; Da-Shan Shiu; Alvin Chua; Alberto Bernacchia (CoRR, 2020)

Optimal Order Simple Regret for Gaussian Process Bandits. - Sattar Vakili; Nacime Bouziani; Sepehr Jalali; Alberto Bernacchia; Da-Shan Shiu (NeurIPS, 2021)

How does BERT process disfluency? - Ye Tian; Tim Nieradzik; Sepehr Jalali; Da-Shan Shiu (SIGDIAL, 2021)

Meta-Learning with MAML on Trees. - Jezabel R. Garcia; Federica Freddi; Feng-Ting Liao; Jamie McGowan; Tim Nieradzik; Da-Shan Shiu; Ye Tian; Alberto Bernacchia (CoRR, 2021)

How to distribute data across tasks for meta-learning? - Alexandru Cioba; Michael Bromberg; Qian Wang; Ritwik Niyogi; Georgios Batzolis; Da-Shan Shiu; Alberto Bernacchia (CoRR, 2021)

Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging. - Philipp Ennen; Yen-Ting Lin; Ali Girayhan Özbay; Ferdinando Insalata; Maolin Li; Ye Tian; Sepehr Jalali; Da-Shan Shiu (CoRR, 2021)

Uniform Generalization Bounds for Overparameterized Neural Networks. - Sattar Vakili; Michael Bromberg; Da-Shan Shiu; Alberto Bernacchia (CoRR, 2021)

How to Distribute Data across Tasks for Meta-Learning? - Alexandru Cioba; Michael Bromberg; Qian Wang; Ritwik Niyogi; Georgios Batzolis; Jezabel R. Garcia; Da-Shan Shiu; Alberto Bernacchia (AAAI, 2022)

Flexible chip placement via reinforcement learning: late breaking results. - Fu-Chieh Chang 001; Yu-Wei Tseng; Ya-Wen Yu; Ssu-Rui Lee; Alexandru Cioba; I-Lun Tseng; Da-Shan Shiu; Jhih-Wei Hsu; Cheng-Yuan Wang; Chien-Yi Yang; Ren-Chu Wang; Yao-Wen Chang; et al. (DAC, 2022)

Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning. - Sattar Vakili; Jonathan Scarlett; Da-Shan Shiu; Alberto Bernacchia (ICML, 2022)

Flexible Multiple-Objective Reinforcement Learning for Chip Placement. - Fu-Chieh Chang 001; Yu-Wei Tseng; Ya-Wen Yu; Ssu-Rui Lee; Alexandru Cioba; I-Lun Tseng; Da-Shan Shiu; Jhih-Wei Hsu; Cheng-Yuan Wang; Chien-Yi Yang; Ren-Chu Wang; Yao-Wen Chang; et al. (CoRR, 2022)

Zero-Shot Domain-Sensitive Speech Recognition with Prompt-Conditioning Fine-Tuning. - Feng-Ting Liao; Yung-Chieh Chan; Yi-Chang Chen; Chan-Jan Hsu; Da-Shan Shiu (ASRU, 2023)

Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling. - Ushnish Sengupta; Chinkuo Jao; Alberto Bernacchia; Sattar Vakili; Da-shan Shiu (GLOBECOM, 2023)

Image generation with shortest path diffusion. - Ayan Das 005; Stathi Fotiadis; Anil Batra; Farhang Nabiei; Fengting Liao; Sattar Vakili; Da-Shan Shiu; Alberto Bernacchia (ICML, 2023)

Information Gain and Uniform Generalization Bounds for Neural Kernel Models. - Sattar Vakili; Michael Bromberg; Jezabel R. Garcia; Da-Shan Shiu; Alberto Bernacchia (ISIT, 2023)

Extending the Pre-Training of BLOOM for Improved Support of Traditional Chinese: Models, Methods and Results. - Philipp Ennen; Po-Chun Hsu; Chan-Jan Hsu; Chang-Le Liu; Yen-Chen Wu; Yin-Hsiang Liao; Chin-Tung Lin; Da-Shan Shiu; Wei-Yun Ma (CoRR, 2023)

Advancing the Evaluation of Traditional Chinese Language Models: Towards a Comprehensive Benchmark Suite. - Chan-Jan Hsu; Chang-Le Liu; Feng-Ting Liao; Po-Chun Hsu; Yi-Chang Chen; Da-shan Shiu (CoRR, 2023)

Reward-Free Kernel-Based Reinforcement Learning. - Sattar Vakili; Farhang Nabiei; Da-shan Shiu; Alberto Bernacchia (ICML, 2024)

Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization. - Davide Buffelli; Jamie McGowan; Wangkun Xu; Alexandru Cioba; Da-shan Shiu; Guillaume Hennequin; Alberto Bernacchia (NeurIPS, 2024)

Breeze-7B Technical Report. - Chan-Jan Hsu; Chang-Le Liu; Feng-Ting Liao; Po-Chun Hsu; Yi-Chang Chen; Da-Shan Shiu (CoRR, 2024)

Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Multi-modal Text Recognition. - Chan-Jan Hsu; Yi-Chang Chen; Feng-Ting Liao; Pei-Chen Ho; Yu-Hsiang Wang; Po-Chun Hsu; Da-shan Shiu (CoRR, 2024)

FineWeb-zhtw: Scalable Curation of Traditional Chinese Text Data from the Web. - Cheng-Wei Lin; Wan-Hsuan Hsieh; Kai-Xin Guan; Chan-Jan Hsu; Chia-Chen Kuo; Chuan-Lin Lai; Chung-Wei Chung; Ming-Jen Wang; Da-Shan Shiu (CoRR, 2024)

Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Robust and Instruction-Aware ASR and OCR. - Chan-Jan Hsu; Yi-Chang Chen; Feng-Ting Liao; Pei-Chen Ho; Yu-Hsiang Wang; Po-Chun Hsu; Da-shan Shiu (ACL (Findings), 2025)

Enhancing Function-Calling Capabilities in LLMs: Strategies for Prompt Formats, Data Integration, and Multilingual Translation. - Yi-Chang Chen; Po-Chun Hsu; Chan-Jan Hsu; Da-shan Shiu (NAACL (Industry Track), 2025)

RAD-Bench: Evaluating Large Language Models' Capabilities in Retrieval Augmented Dialogues. - Tzu-Lin Kuo; Fengting Liao; Mu-Wei Hsieh; Fu-Chieh Chang 001; Po-Chun Hsu; Da-shan Shiu (NAACL (Industry Track), 2025)

The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities. - Chan-Jan Hsu; Chia-Sheng Liu; Meng-Hsi Chen; Muxi Chen; Po-Chun Hsu; Yi-Chang Chen; Da-Shan Shiu (CoRR, 2025)

BreezyVoice: Adapting TTS for Taiwanese Mandarin with Enhanced Polyphone Disambiguation - Challenges and Insights. - Chan-Jan Hsu; Yi-Cheng Lin; Chia-Chun Lin; Wei-Chih Chen; Ho-Lam Chung; Chen-An Li; Yi-Chang Chen; Chien-Yu Yu; Ming-Ji Lee; Chien-Cheng Chen; Ru-Heng Huang; Hung-yi Lee; et al. (CoRR, 2025)

TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling. - Liang-Hsuan Tseng; Yi-Chang Chen; Kuan-Yi Lee; Da-Shan Shiu; Hung-yi Lee (CoRR, 2025)

Group Think: Multiple Concurrent Reasoning Agents Collaborating at Token Level Granularity. - Chan-Jan Hsu; Davide Buffelli; Jamie McGowan; Feng-Ting Liao; Yi-Chang Chen; Sattar Vakili; Da-shan Shiu (CoRR, 2025)

Latent Flow Transformer. - Yen-Chen Wu; Feng-Ting Liao; Meng-Hsi Chen; Pei-Chen Ho; Farhang Nabiei; Da-shan Shiu (CoRR, 2025)

Towards a Foundation Model for Communication Systems. - Davide Buffelli; Sowmen Das; Yu-Wei Lin; Sattar Vakili; Chien-Yi Wang; Masoud Attarifar; Pritthijit Nath; Da-shan Shiu (CoRR, 2025)

Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds. - Aya Kayal; Sattar Vakili; Laura Toni; Da-shan Shiu; Alberto Bernacchia (CoRR, 2025)