Portable Brain-Heart Monitoring System. - Chih-Chung Fu; Chiu-Kuo Chen; Shao-Yen Tseng; Shih Kang; Ericson Chua; Wai-Chi Fang (FGIT-DTA/BSBT, 2010)

A Time-Frequency HRV Processor Using Windowed Lomb Periodogram. - Shao-Yen Tseng; Wai-Chi Fang (FGIT-DTA/BSBT, 2010)

Implementation of a hardware-efficient EEG processor for brain monitoring systems. - Chiu-Kuo Chen; Ericson Chua; Shao-Yen Tseng; Chih-Chung Fu; Wai-Chi Fang (SoCC, 2010)

A highly-integrated biomedical multiprocessor system for portable brain-heart monitoring. - Ericson Chua; Wai-Chi Fang; Chiu-Kuo Chen; Chih-Chung Fu; Shao-Yen Tseng; Shih Kang; Zong-Han Hsieh (ISCAS, 2011)

Design of heart rate variability processor for portable 3-lead ECG monitoring system-on-chip. - Wai-Chi Fang; Hsiang-Cheh Huang; Shao-Yen Tseng (Expert Syst. Appl., 2013)

Couples Behavior Modeling and Annotation Using Low-Resource LSTM Language Models. - Shao-Yen Tseng; Sandeep Nallan Chakravarthula; Brian R. Baucom; Panayiotis G. Georgiou (INTERSPEECH, 2016)

Approaching Human Performance in Behavior Estimation in Couples Therapy Using Deep Sentence Embeddings. - Shao-Yen Tseng; Brian R. Baucom; Panayiotis G. Georgiou (INTERSPEECH, 2017)

Multiple Instance Deep Learning for Weakly Supervised Audio Event Detection. - Shao-Yen Tseng; Juncheng Li 001; Yun Wang 005; Joseph Szurley; Florian Metze; Samarjit Das (CoRR, 2017)

"Honey, I Learned to Talk": Multimodal Fusion for Behavior Analysis. - Shao-Yen Tseng; Haoqi Li; Brian R. Baucom; Panayiotis G. Georgiou (ICMI, 2018)

Multiple Instance Deep Learning for Weakly Supervised Small-Footprint Audio Event Detection. - Shao-Yen Tseng; Juncheng Li 001; Yun Wang 005; Florian Metze; Joseph Szurley; Samarjit Das (INTERSPEECH, 2018)

Multi-Task Unsupervised Contextual Learning for Behavioral Annotation. - Shao-Yen Tseng; Panayiotis G. Georgiou (CoRR, 2018)

Predicting Behavior in Cancer-Afflicted Patient and Spouse Interactions Using Speech and Language. - Sandeep Nallan Chakravarthula; Haoqi Li; Shao-Yen Tseng; Maija Reblin; Panayiotis G. Georgiou (INTERSPEECH, 2019)

Behavior Gated Language Models. - Prashanth Gurunath Shivakumar; Shao-Yen Tseng; Panayiotis G. Georgiou; Shrikanth S. Narayanan (CoRR, 2019)

Multimodal Embeddings from Language Models. - Shao-Yen Tseng; Panayiotis G. Georgiou; Shrikanth S. Narayanan (CoRR, 2019)

Unsupervised online multitask learning of behavioral sentence embeddings. - Shao-Yen Tseng; Brian R. Baucom; Panayiotis G. Georgiou (PeerJ Comput. Sci., 2019)

Automatic Prediction of Suicidal Risk in Military Couples Using Multimodal Interaction Cues from Couples Conversations. - Sandeep Nallan Chakravarthula; Md. Nasir; Shao-Yen Tseng; Haoqi Li; Tae Jin Park; Brian R. Baucom; Craig J. Bryan; Shrikanth Narayanan; Panayiotis G. Georgiou (ICASSP, 2020)

Multimodal Embeddings From Language Models for Emotion Recognition in the Wild. - Shao-Yen Tseng; Shrikanth Narayanan; Panayiotis G. Georgiou (IEEE Signal Process. Lett., 2021)

VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers. - Estelle Aflalo; Meng Du; Shao-Yen Tseng; Yongfei Liu; Chenfei Wu; Nan Duan; Vasudev Lal (CVPR, 2022)

KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation. - Yongfei Liu; Chenfei Wu; Shao-Yen Tseng; Vasudev Lal; Xuming He 001; Nan Duan (NAACL-HLT (Findings), 2022)

CALM: Contrastive Aligned Audio-Language Multirate and Multimodal Representations. - Vin Sachidananda; Shao-Yen Tseng; Erik Marchi; Sachin Kajarekar; Panayiotis G. Georgiou (CoRR, 2022)

ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning. - Xiao Xu 005; Bei Li; Chenfei Wu; Shao-Yen Tseng; Anahita Bhiwandiwalla; Shachar Rosenman; Vasudev Lal; Wanxiang Che; Nan Duan (ACL (1), 2023)

Improving Video Retrieval Using Multilingual Knowledge Transfer. - Avinash Madasu; Estelle Aflalo; Gabriela Ben Melech Stan; Shao-Yen Tseng; Gedas Bertasius; Vasudev Lal (ECIR (1), 2023)

LDM3D: Latent Diffusion Model for 3D. - Gabriela Ben Melech Stan; Diana Wofk; Scottie Fox; Alex Redden; Will Saxton; Jean Yu; Estelle Aflalo; Shao-Yen Tseng; Fabio Nonato; Matthias Müller 011; Vasudev Lal (CoRR, 2023)

LDM3D-VR: Latent Diffusion Model for 3D VR. - Gabriela Ben Melech Stan; Diana Wofk; Estelle Aflalo; Shao-Yen Tseng; Zhipeng Cai; Michael Paulitsch; Vasudev Lal (CoRR, 2023)

MuMUR: Multilingual Multimodal Universal Retrieval. - Avinash Madasu; Estelle Aflalo; Gabriela Ben Melech Stan; Shachar Rosenman; Shao-Yen Tseng; Gedas Bertasius; Vasudev Lal (Inf. Retr. J., 2023)

L-MAGIC: Language Model Assisted Generation of Images with Coherence. - Zhipeng Cai; Matthias Mueller 001; Reiner Birkl; Diana Wofk; Shao-Yen Tseng; Junda Cheng; Gabriela Ben Melech Stan; Vasudev Lal; Michael Paulitsch (CVPR, 2024)

Why do LLaVA Vision-Language Models Reply to Images in English? - Musashi Hinck; Carolin Holtermann; Matthew L. Olson; Florian Schneider 001; Sungduk Yu; Anahita Bhiwandiwalla; Anne Lauscher; Shao-Yen Tseng; Vasudev Lal (EMNLP (Findings), 2024)

LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models. - Gabriela Ben Melech Stan; Estelle Aflalo; Raanan Yehezkel Rohekar; Anahita Bhiwandiwalla; Shao-Yen Tseng; Matthew Lyle Olson; Yaniv Gurwicz; Chenfei Wu; Nan Duan; Vasudev Lal (XAI4CV, 2024)

LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model. - Musashi Hinck; Matthew L. Olson; David Cobbley; Shao-Yen Tseng; Vasudev Lal (CoRR, 2024)

Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations. - Neale Ratzlaff; Matthew Lyle Olson; Musashi Hinck; Shao-Yen Tseng; Vasudev Lal; Phillip Howard (CoRR, 2024)

Debias your Large Multi-Modal Model at Test-Time with Non-Contrastive Visual Attribute Steering. - Neale Ratzlaff; Matthew Lyle Olson; Musashi Hinck; Estelle Aflalo; Shao-Yen Tseng; Vasudev Lal; Phillip Howard (CoRR, 2024)

FastRM: An efficient and automatic explainability framework for multimodal generative models. - Gabriela Ben Melech Stan; Estelle Aflalo; Man Luo; Shachar Rosenman; Tiep Le; Sayak Paul; Shao-Yen Tseng; Vasudev Lal (CoRR, 2024)

Steering Large Language Models to Evaluate and Amplify Creativity. - Matthew Lyle Olson; Neale Ratzlaff; Musashi Hinck; Shao-Yen Tseng; Vasudev Lal (CoRR, 2024)

FiVL: A Framework for Improved Vision-Language Alignment. - Estelle Aflalo; Gabriela Ben Melech Stan; Tiep Le; Man Luo; Shachar Rosenman; Sayak Paul; Shao-Yen Tseng; Vasudev Lal (CoRR, 2024)

Analyzing Hierarchical Structure in Vision Models with Sparse Autoencoders. - Matthew Lyle Olson; Musashi Hinck; Neale Ratzlaff; Changbai Li; Phillip Howard; Vasudev Lal; Shao-Yen Tseng (CVPR Workshops, 2025)

DPO Learning with LLMs-Judge Signal for Computer Use Agents. - Man Luo; David Cobbley; Xin Su 008; Shachar Rosenman; Vasudev Lal; Shao-Yen Tseng; Phillip Howard (CoRR, 2025)

Probing the Representational Power of Sparse Autoencoders in Vision Models. - Matthew Lyle Olson; Musashi Hinck; Neale Ratzlaff; Changbai Li; Phillip Howard; Vasudev Lal; Shao-Yen Tseng (CoRR, 2025)