Continuous Assessment of Children's Emotional States Using Acoustic Analysis. - Yuan Gong 001; Christian Poellabauer (ICHI, 2017)

Topic Modeling Based Multi-modal Depression Detection. - Yuan Gong 001; Christian Poellabauer (AVEC@ACM Multimedia, 2017)

Crafting Adversarial Examples For Speech Paralinguistics Applications. - Yuan Gong 001; Christian Poellabauer (CoRR, 2017)

Improving LIWC Using Soft Word Matching. - Yuan Gong 001; Kevin Shin; Christian Poellabauer (BCB, 2018)

Automatic Autism Spectrum Disorder Detection Using Everyday Vocalizations Captured by Smart Devices. - Yuan Gong 001; Hasini Yatawatte; Christian Poellabauer; Sandra L. Schneider; Susan Latham (BCB, 2018)

Protecting Voice Controlled Systems Using Sound Source Identification Based on Acoustic Cues. - Yuan Gong 001; Christian Poellabauer (ICCCN, 2018)

Impact of Aliasing on Deep CNN-Based End-to-End Acoustic Models. - Yuan Gong 001; Christian Poellabauer (INTERSPEECH, 2018)

An Overview of Vulnerabilities of Voice Controlled Systems. - Yuan Gong 001; Christian Poellabauer (CoRR, 2018)

Towards Learning Fine-Grained Disentangled Representations from Speech. - Yuan Gong 001; Christian Poellabauer (CoRR, 2018)

Second-Order Non-Local Attention Networks for Person Re-Identification. - Bryan Bryan; Yuan Gong 001; Yizhe Zhang 001; Christian Poellabauer (ICCV, 2019)

Real-Time Adversarial Attacks. - Yuan Gong 001; Boyang Li 003; Christian Poellabauer; Yiyu Shi 001 (IJCAI, 2019)

ReMASC: Realistic Replay Attack Corpus for Voice Controlled Systems. - Yuan Gong 001; Jian Yang 018; Jacob Huber; Mitchell MacKnight; Christian Poellabauer (INTERSPEECH, 2019)

Second-order Non-local Attention Networks for Person Re-identification. - Bryan (Ning) Xia; Yuan Gong 001; Yizhe Zhang 001; Christian Poellabauer (CoRR, 2019)

Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method. - Yuan Gong 001; Jian Yang 018; Christian Poellabauer (IEEE Signal Process. Lett., 2020)

ReMASC: Realistic Replay Attack Corpus for Voice Controlled Systems. - Yuan Gong 001; Jian Yang 018; Jacob Huber; Mitchell MacKnight; Christian Poellabauer (IEEE DataPort, 2020)

AST: Audio Spectrogram Transformer. - Yuan Gong 001; Yu-An Chung; James R. Glass (Interspeech, 2021)

PSLA: Improving Audio Event Classification with Pretraining, Sampling, Labeling, and Aggregation. - Yuan Gong 001; Yu-An Chung; James R. Glass (CoRR, 2021)

PSLA: Improving Audio Tagging With Pretraining, Sampling, Labeling, and Aggregation. - Yuan Gong 001; Yu-An Chung; James R. Glass (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

SSAST: Self-Supervised Audio Spectrogram Transformer. - Yuan Gong 001; Cheng-I Lai; Yu-An Chung; James R. Glass (AAAI, 2022)

Detecting Dementia from Long Neuropsychological Interviews. - Nauman Dawalatabad; Yuan Gong 001; Sameer Khurana; Rhoda Au; James R. Glass (EMNLP (Findings), 2022)

Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment. - Yuan Gong 001; Ziyi Chen 005; Iek-Heng Chu; Peng Chang 002; James R. Glass (ICASSP, 2022)

Vocalsound: A Dataset for Improving Human Vocal Sounds Recognition. - Yuan Gong 001; Jin Yu; James R. Glass (ICASSP, 2022)

CMKD: CNN/Transformer-Based Cross-Model Knowledge Distillation for Audio Classification. - Yuan Gong 001; Sameer Khurana; Andrew Rouditchenko; James R. Glass (CoRR, 2022)

UAVM: A Unified Model for Audio-Visual Learning. - Yuan Gong 001; Alexander H. Liu; Andrew Rouditchenko; James R. Glass (CoRR, 2022)

UAVM: Towards Unifying Audio and Visual Models. - Yuan Gong 001; Alexander H. Liu; Andrew Rouditchenko; James R. Glass (IEEE Signal Process. Lett., 2022)

Joint Audio and Speech Understanding. - Yuan Gong 001; Alexander H. Liu; Hongyin Luo; Leonid Karlinsky; James R. Glass (ASRU, 2023)

Search Augmented Instruction Learning. - Hongyin Luo; Tianhua Zhang; Yung-Sung Chuang; Yuan Gong 001; Yoon Kim; Xixin Wu; Helen Meng; James R. Glass (EMNLP (Findings), 2023)

Contrastive Audio-Visual Masked Autoencoder. - Yuan Gong 001; Andrew Rouditchenko; Alexander H. Liu; David Harwath; Leonid Karlinsky; Hilde Kuehne; James R. Glass (ICLR, 2023)

Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers. - Yuan Gong 001; Sameer Khurana; Leonid Karlinsky; James R. Glass (INTERSPEECH, 2023)

SAIL: Search-Augmented Instruction Learning. - Hongyin Luo; Yung-Sung Chuang; Yuan Gong 001; Tianhua Zhang; Yoon Kim; Xixin Wu; Danny Fox; Helen Meng; James R. Glass (CoRR, 2023)

Listen, Think, and Understand. - Yuan Gong 001; Hongyin Luo; Alexander H. Liu; Leonid Karlinsky; James R. Glass (ICLR, 2024)

Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation. - Andrew Rouditchenko; Yuan Gong 001; Samuel Thomas 001; Leonid Karlinsky; Hilde Kuehne; Rogério Feris; James Glass 001 (INTERSPEECH, 2024)

Automatic Prediction of Amyotrophic Lateral Sclerosis Progression using Longitudinal Speech Transformer. - Liming Wang; Yuan Gong 001; Nauman Dawalatabad; Marco Vilela; Katerina Placek; Brian Tracey; Yishu Gong; Alan Premasiri; Fernando Vieira; James R. Glass (INTERSPEECH, 2024)

Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning. - Tianhua Zhang; Jiaxin Ge; Hongyin Luo; Yung-Sung Chuang; Mingye Gao; Yuan Gong 001; Yoon Kim; Xixin Wu; Helen Meng; Jim Glass 001 (NAACL-HLT (Findings), 2024)

DASS: Distilled Audio State Space Models are Stronger and More Duration-Scalable Learners. - Saurabhchand Bhati; Yuan Gong 001; Leonid Karlinsky; Hilde Kuehne; Rogério Feris; James R. Glass (SLT, 2024)

Large Language Model Based Generative Error Correction: A Challenge and Baselines For Speech Recognition, Speaker Tagging, and Emotion Recognition. - Chao-Han Huck Yang; Taejin Park; Yuan Gong 001; Yuanchao Li; Zhehuai Chen; Yen-Ting Lin; Chen Chen 075; Yuchen Hu; Kunal Dhawan; Piotr Zelasko; Chao Zhang 031; Yun-Nung Chen; et al. (SLT, 2024)

A Closer Look at Neural Codec Resynthesis: Bridging the Gap between Codec and Waveform Generation. - Alexander H. Liu; Qirui Wang; Yuan Gong 001; James R. Glass (CoRR, 2024)

State-Space Large Audio Language Models. - Saurabhchand Bhati; Yuan Gong 001; Leonid Karlinsky; Hilde Kuehne; Rogério Feris; James R. Glass (CoRR, 2024)

CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment. - Edson Araujo; Andrew Rouditchenko; Yuan Gong 001; Saurabhchand Bhati; Samuel Thomas 001; Brian Kingsbury; Leonid Karlinsky; Rogério Feris; James R. Glass; Hilde Kuehne (CVPR, 2025)

Revise, Reason, and Recognize: LLM-Based Emotion Recognition via Emotion-Specific Prompts and ASR Error Correction. - Yuanchao Li; Yuan Gong 001; Chao-Han Huck Yang; Peter Bell 001; Catherine Lai (ICASSP, 2025)

UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation. - Alexander H. Liu; Sang-gil Lee; Chao-Han Huck Yang; Yuan Gong 001; Yu-Chiang Frank Wang; James R. Glass; Rafael Valle; Bryan Catanzaro (ICLR, 2025)

Can Diffusion Models Disentangle? A Theoretical Perspective. - Liming Wang; Muhammad Jehanzeb Mirza; Yishu Gong; Yuan Gong 001; Jiaqi Zhang; Brian H. Tracey; Katerina Placek; Marco Vilela; James R. Glass (CoRR, 2025)