Verifying the long-range dependency of RNN language models. - Tzu-Hsuan Tseng; Tzu-Hsuan Yang; Chia-Ping Chen (IALP, 2016)

Recurrent neural network-based language models with variation in net topology, language, and granularity. - Tzu-Hsuan Yang; Tzu-Hsuan Tseng; Chia-Ping Chen (IALP, 2016)

deepSA at SemEval-2017 Task 4: Interpolated Deep Neural Networks for Sentiment Analysis in Twitter. - Tzu-Hsuan Yang; Tzu-Hsuan Tseng; Chia-Ping Chen (SemEval@ACL, 2017)

A Transient-Enhanced Constant On-Time Buck Converter with Light-Load Efficiency Optimization. - Mao-Ling Chiu; Tzu-Hsuan Yang; Tsung-Hsien Lin (A-SSCC, 2018)

Bicriterion total flowtime and maximum tardiness minimization for an order scheduling problem. - Chin-Chia Wu; Shang-Chia Liu; Tzu-Yun Lin; Tzu-Hsuan Yang; I-Hong Chung; Win-Chin Lin (Comput. Ind. Eng., 2018)

Driver Fatigue Prediction Using Different Sensor Data with Deep Learning. - Darmawan Utomo; Tzu-Hsuan Yang; Dao Thi Thanh; Pao-Ann Hsiung (ICPS, 2019)

A High Accuracy Constant-On-Time Buck Converter with Spur-Free On-Time Generator. - Mao-Ling Chiu; Tzu-Hsuan Yang; Tsung-Hsien Lin (ISCAS, 2019)

Tardiness minimisation for a customer order scheduling problem with sum-of-processing-time-based learning effect. - Chin-Chia Wu; Win-Chin Lin; Xingong Zhang; I-Hong Chung; Tzu-Hsuan Yang; Kunjung Lai (J. Oper. Res. Soc., 2019)

Using heuristic and iterative greedy algorithms for the total weighted completion time order scheduling with release times. - Chin-Chia Wu; Tzu-Hsuan Yang; Xingong Zhang; Chao-Chung Kang; I-Hong Chung; Win-Chin Lin (Swarm Evol. Comput., 2019)

HEY!: Exploring Virtual Character Interaction for Immersive Storytelling via Electroencephalography. - Yi-Hsuan Tseng; Tian-Jyun Lin; Tzu-Hsuan Yang; Ping-Hsuan Han; Saiau-Yue Tsau (SIGGRAPH Asia Posters, 2020)

Saw It or Triggered It: Exploring the Threshold of Implicit and Explicit Interaction for Eye-tracking Technique in Virtual Reality. - Tzu-Hsuan Yang; Jing-Yuan Huang; Ping-Hsuan Han; Yi-Ping Hung (VR Workshops, 2021)

When Contrastive Learning Meets Graph Unlearning: Graph Contrastive Unlearning for Link Prediction. - Tzu-Hsuan Yang; Cheng-Te Li (IEEE Big Data, 2023)

Cameras as Rays: Pose Estimation via Ray Diffusion. - Jason Y. Zhang 001; Amy Lin; Moneish Kumar; Tzu-Hsuan Yang; Deva Ramanan; Shubham Tulsiani (ICLR, 2024)

JCAPT: A Joint Modeling Approach for CAPT. - Tzu-Hsuan Yang; Yue-Yang He; Berlin Chen (CoRR, 2025)