Towards a Class-Based Representation of Perceptual Tempo for Music Retrieval. - Ching-Wei Chen; Kyogu Lee; Ho-Hsiang Wu (ICMLA, 2009)

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 (DCASE, 2019)

Look, Listen, and Learn More: Design Choices for Deep Audio Embeddings. - Jason Cramer; Ho-Hsiang Wu; Justin Salamon; Juan Pablo Bello (ICASSP, 2019)

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search. - Hamel Husain; Ho-Hsiang Wu; Tiferet Gazit; Miltiadis Allamanis; Marc Brockschmidt (CoRR, 2019)

SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context. - Mark Cartwright; Jason Cramer; Ana Elisa Méndez Méndez; Yu Wang 105; Ho-Hsiang Wu; Vincent Lostanlen; Magdalena Fuentes; Graham Dove; Charlie Mydlarz; Justin Salamon; Oded Nov; Juan Pablo Bello (DCASE, 2020)

Multi-Task Self-Supervised Pre-Training for Music Classification. - Ho-Hsiang Wu; Chieh-Chi Kao; Qingming Tang; Ming Sun 007; Brian McFee; Juan Pablo Bello; Chao Wang 018 (ICASSP, 2021)

Exploring modality-agnostic representations for music classification. - Ho-Hsiang Wu; Magdalena Fuentes; Juan Pablo Bello (CoRR, 2021)

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 (EUSIPCO, 2022)

Wav2CLIP: Learning Robust Audio Representations from Clip. - Ho-Hsiang Wu; Prem Seetharaman; Kundan Kumar; Juan Pablo Bello (ICASSP, 2022)

How to Listen? Rethinking Visual Sound Localization. - Ho-Hsiang Wu; Magdalena Fuentes; Prem Seetharaman; Juan Pablo Bello (INTERSPEECH, 2022)

Audio-Text Models Do Not Yet Leverage Natural Language. - Ho-Hsiang Wu; Oriol Nieto; Juan Pablo Bello; Justin Salamon (ICASSP, 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 (INTERSPEECH, 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)

Multi-Modal Continual Pre-Training For Audio Encoders. - Gyuhak Kim; Ho-Hsiang Wu; Luca Bondi; Bing Liu 001 (ICASSP, 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 (ICASSP, 2024)

Learning Audio Concepts from Counterfactual Natural Language. - Ali Vosoughi; Luca Bondi; Ho-Hsiang Wu; Chenliang Xu (ICASSP, 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 (ICRA, 2024)

Sound of Traffic: A Dataset for Acoustic Traffic Identification and Counting. - Shabnam Ghaffarzadegan; Luca Bondi; Wei-Cheng Lin; Abinaya Kumar; Ho-Hsiang Wu; Hans-Georg Horst; Samarjit Das (INTERSPEECH, 2024)

Mind the Prompt: Prompting Strategies in Audio Generations for Improving Sound Classification. - Francesca Ronchini; Ho-Hsiang Wu; Wei-Cheng Lin; Fabio Antonacci (ICASSP Workshops, 2025)