Ho-Hsiang Wu

According to our database, Ho-Hsiang Wu authored at least 17 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Learning via Interactive Perception.

Gyan Tatiya, Jonathan Francis, Ho-Hsiang Wu, Yonatan Bisk, Jivko Sinapov

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Learning Audio Concepts from Counterfactual Natural Language.

Ali Vosoughi, Luca Bondi, Ho-Hsiang Wu, Chenliang Xu

Proceedings of the IEEE International Conference on Acoustics, 2024

CLAP4Emo: ChatGPT-Assisted Speech Emotion Retrieval with Natural Language Supervision.

Wei-Cheng Lin, Shabnam Ghaffarzadegan, Luca Bondi, Abinaya Kumar, Samarjit Das, Ho-Hsiang Wu

Proceedings of the IEEE International Conference on Acoustics, 2024

Multi-Modal Continual Pre-Training For Audio Encoders.

Gyuhak Kim, Ho-Hsiang Wu, Luca Bondi, Bing Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Perception.

Gyan Tatiya, Jonathan Francis, Ho-Hsiang Wu, Yonatan Bisk, Jivko Sinapov

CoRR, 2023

Active Learning for Abnormal Lung Sound Data Curation and Detection in Asthma.

Shabnam Ghaffarzadegan, Luca Bondi, Ho-Hsiang Wu, Sirajum Munir, Kelly J. Shields, Samarjit Das, Joseph Aracri

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Audio-Text Models Do Not Yet Leverage Natural Language.

Ho-Hsiang Wu, Oriol Nieto, Juan Pablo Bello, Justin Salamon

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

How to Listen? Rethinking Visual Sound Localization.

Ho-Hsiang Wu, Magdalena Fuentes, Prem Seetharaman, Juan Pablo Bello

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Wav2CLIP: Learning Robust Audio Representations from Clip.

Ho-Hsiang Wu, Prem Seetharaman, Kundan Kumar, Juan Pablo Bello

Proceedings of the IEEE International Conference on Acoustics, 2022

A Study on Robustness to Perturbations for Representations of Environmental Sound.

Sangeeta Srivastava, Ho-Hsiang Wu, João Rulff, Magdalena Fuentes, Mark Cartwright, Cláudio T. Silva, Anish Arora, Juan Pablo Bello

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Exploring modality-agnostic representations for music classification.

Ho-Hsiang Wu, Magdalena Fuentes, Juan Pablo Bello

CoRR, 2021

Multi-Task Self-Supervised Pre-Training for Music Classification.

Ho-Hsiang Wu, Chieh-Chi Kao, Qingming Tang, Ming Sun, Brian McFee, Juan Pablo Bello, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context.

Mark Cartwright, Jason Cramer, Ana Elisa Méndez Méndez, Yu Wang, Ho-Hsiang Wu, Vincent Lostanlen, Magdalena Fuentes, Graham Dove, Charlie Mydlarz, Justin Salamon, Oded Nov, Juan Pablo Bello

Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, Miltiadis Allamanis, Marc Brockschmidt

CoRR, 2019

Look, Listen, and Learn More: Design Choices for Deep Audio Embeddings.

Jason Cramer, Ho-Hsiang Wu, Justin Salamon, Juan Pablo Bello

Proceedings of the IEEE International Conference on Acoustics, 2019

SONYC Urban Sound Tagging (SONYC-UST): A Multilabel Dataset from an Urban Acoustic Sensor Network.

Mark Cartwright, Ana Elisa Méndez Méndez, Jason Cramer, Vincent Lostanlen, Graham Dove, Ho-Hsiang Wu, Justin Salamon, Oded Nov, Juan Pablo Bello

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2009

Towards a Class-Based Representation of Perceptual Tempo for Music Retrieval.

Ching-Wei Chen, Kyogu Lee, Ho-Hsiang Wu

Proceedings of the International Conference on Machine Learning and Applications, 2009