Understanding Audio Pattern Using Convolutional Neural Network From Raw Waveforms. - Shuhui Qu; Juncheng Li 001; Wei Dai; Samarjit Das (CoRR, 2016)

Learning Filter Banks Using Deep Learning For Acoustic Signals. - Shuhui Qu; Juncheng Li 001; Wei Dai; Samarjit Das (CoRR, 2016)

Very deep convolutional neural networks for raw waveforms. - Wei Dai; Chia Dai; Shuhui Qu; Juncheng Li 001; Samarjit Das (ICASSP, 2017)

A comparison of Deep Learning methods for environmental sound detection. - Juncheng Li 001; Wei Dai; Florian Metze; Shuhui Qu; Samarjit Das (ICASSP, 2017)

Real-Time Fine Grained Occupancy Estimation Using Depth Sensors on ARM Embedded Platforms. - Sirajum Munir; Ripudaman Singh Arora; Craig Hesling; Juncheng Li 001; Jonathan Francis; Charles Shelton; Christopher Martin 004; Anthony Rowe 001; Mario Berges (RTAS, 2017)

CMU-UCR-BOSCH @ TRECVID 2017: VIDEO TO TEXT RETRIEVAL. - Niluthpol Chowdhury Mithun; Juncheng B. Li; Florian Metze; Amit K. Roy-Chowdhury; Samarjit Das (TRECVID, 2017)

A Comparison of deep learning methods for environmental sound. - Juncheng Li 001; Wei Dai; Florian Metze; Shuhui Qu; Samarjit Das (CoRR, 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)

Towards Knowledge Oriented Intelligent Audio Analytics. - Alessandro Oltramari; Joseph Szurley; Samarjit Das; Jonathan Francis; Juncheng Li 001 (AAAI Workshops, 2018)

A Light-Weight Multimodal Framework for Improved Environmental Audio Tagging. - Juncheng Li 001; Yun Wang 005; Joseph Szurley; Florian Metze; Samarjit Das (ICASSP, 2018)

Eventness: Object Detection on Spectrograms for Temporal Localization of Audio Events. - Phuong Pham; Juncheng Li 001; Joseph Szurley; Samarjit Das (ICASSP, 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)

Comparing the Max and Noisy-Or Pooling Functions in Multiple Instance Learning for Weakly Supervised Sequence Learning Tasks. - Yun Wang 005; Juncheng Li 001; Florian Metze (INTERSPEECH, 2018)

Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text Retrieval. - Niluthpol Chowdhury Mithun; Juncheng Li 001; Florian Metze; Amit K. Roy-Chowdhury (ICMR, 2018)

A Comparison of Five Multiple Instance Learning Pooling Functions for Sound Event Detection with Weak Labeling. - Yun Wang 005; Juncheng Li 001; Florian Metze (ICASSP, 2019)

Adversarial camera stickers: A physical camera-based attack on deep learning systems. - Juncheng Li 001; Frank R. Schmidt; J. Zico Kolter (ICML, 2019)

Adversarial Music: Real world Audio Adversary against Wake-word Detection System. - Juncheng Li 001; Shuhui Qu; Xinjian Li; Joseph Szurley; J. Zico Kolter; Florian Metze (NeurIPS, 2019)

Adversarial Music: Real World Audio Adversary Against Wake-word Detection System. - Juncheng B. Li; Shuhui Qu; Xinjian Li; J. Zico Kolter; Florian Metze (CoRR, 2019)

Joint embeddings with multimodal cues for video-text retrieval. - Niluthpol Chowdhury Mithun; Juncheng Li 001; Florian Metze; Amit K. Roy-Chowdhury (Int. J. Multim. Inf. Retr., 2019)

Towards Zero-Shot Learning for Automatic Phonemic Transcription. - Xinjian Li; Siddharth Dalmia; David R. Mortensen; Juncheng Li 001; Alan W. Black; Florian Metze (AAAI, 2020)

Universal Phone Recognition with a Multilingual Allophone System. - Xinjian Li; Siddharth Dalmia; Juncheng Li 001; Matthew Lee 012; Patrick Littell; Jiali Yao; Antonios Anastasopoulos; David R. Mortensen; Graham Neubig; Alan W. Black; Florian Metze (ICASSP, 2020)

Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations. - Ze Cheng; Juncheng Li 001; Chenxu Wang; Jixuan Gu; Hao Xu; Xinjian Li; Florian Metze (CoRR, 2020)

Phone Distribution Estimation for Low Resource Languages. - Xinjian Li; Juncheng Li 001; Jiali Yao; Alan W. Black; Florian Metze (ICASSP, 2021)

Audio-Visual Event Recognition Through the Lens of Adversary. - Juncheng B. Li; Kaixin Ma; Shuhui Qu; Po-Yao Huang 001; Florian Metze (ICASSP, 2021)

Hierarchical Phone Recognition with Compositional Phonetics. - Xinjian Li; Juncheng Li 001; Florian Metze; Alan W. Black (Interspeech, 2021)

On Adversarial Robustness Of Large-Scale Audio Visual Learning. - Juncheng B. Li; Shuhui Qu; Xinjian Li; Bernie Po-Yao Huang; Florian Metze (ICASSP, 2022)

AudioTagging Done Right: 2nd comparison of deep learning methods for environmental sound classification. - Juncheng Li 001; Shuhui Qu; Po-Yao Huang 001; Florian Metze (INTERSPEECH, 2022)

Masked Autoencoders that Listen. - Po-Yao Huang 001; Hu Xu 001; Juncheng Li 001; Alexei Baevski; Michael Auli; Wojciech Galuba; Florian Metze; Christoph Feichtenhofer (NeurIPS, 2022)

Robustness of Neural Architectures for Audio Event Detection. - Juncheng B. Li; Shuhui Qu; Florian Metze (CoRR, 2022)

SQuAT: Sharpness- and Quantization-Aware Training for BERT. - Zheng Wang; Juncheng B. Li; Shuhui Qu; Florian Metze; Emma Strubell (CoRR, 2022)

Error-aware Quantization through Noise Tempering. - Zheng Wang; Juncheng B. Li; Shuhui Qu; Florian Metze; Emma Strubell (CoRR, 2022)

Audio-Journey: Open Domain Latent Diffusion Based Text-To-Audio Generation. - Jackson Michaels; Juncheng B. Li; Laura Yao; Lijun Yu; Zach Wood-Doughty; Florian Metze (ICASSP, 2024)

Sparse Matrix in Large Language Model Fine-tuning. - Haoze He; Juncheng Billy Li; Xuan Jiang; Heather Miller (CoRR, 2024)

SMT: Fine-Tuning Large Language Models with Sparse Matrices. - Haoze He; Juncheng B. Li; Xuan Jiang; Heather Miller (ICLR, 2025)