Juncheng Li

Orcid: 0000-0003-4687-2931

Affiliations:
  • Carnegie Mellon University, PA, USA
  • Bosch Research, USA (former)
  • Tongji University, China (former)


According to our database1, Juncheng Li authored at least 32 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Audio-Journey: Open Domain Latent Diffusion Based Text-To-Audio Generation.
Proceedings of the IEEE International Conference on Acoustics, 2024

2022
Error-aware Quantization through Noise Tempering.
CoRR, 2022

SQuAT: Sharpness- and Quantization-Aware Training for BERT.
CoRR, 2022

Robustness of Neural Architectures for Audio Event Detection.
CoRR, 2022

Masked Autoencoders that Listen.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AudioTagging Done Right: 2nd comparison of deep learning methods for environmental sound classification.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

On Adversarial Robustness Of Large-Scale Audio Visual Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Hierarchical Phone Recognition with Compositional Phonetics.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Audio-Visual Event Recognition Through the Lens of Adversary.
Proceedings of the IEEE International Conference on Acoustics, 2021

Phone Distribution Estimation for Low Resource Languages.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations.
CoRR, 2020

Universal Phone Recognition with a Multilingual Allophone System.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Towards Zero-Shot Learning for Automatic Phonemic Transcription.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Joint embeddings with multimodal cues for video-text retrieval.
Int. J. Multim. Inf. Retr., 2019

Adversarial Music: Real World Audio Adversary Against Wake-word Detection System.
CoRR, 2019

Adversarial Music: Real world Audio Adversary against Wake-word Detection System.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Adversarial camera stickers: A physical camera-based attack on deep learning systems.
Proceedings of the 36th International Conference on Machine Learning, 2019

A Comparison of Five Multiple Instance Learning Pooling Functions for Sound Event Detection with Weak Labeling.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text Retrieval.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Comparing the Max and Noisy-Or Pooling Functions in Multiple Instance Learning for Weakly Supervised Sequence Learning Tasks.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Multiple Instance Deep Learning for Weakly Supervised Small-Footprint Audio Event Detection.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Eventness: Object Detection on Spectrograms for Temporal Localization of Audio Events.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Light-Weight Multimodal Framework for Improved Environmental Audio Tagging.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Towards Knowledge Oriented Intelligent Audio Analytics.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Multiple Instance Deep Learning for Weakly Supervised Audio Event Detection.
CoRR, 2017

A Comparison of deep learning methods for environmental sound.
CoRR, 2017

CMU-UCR-BOSCH @ TRECVID 2017: VIDEO TO TEXT RETRIEVAL.
Proceedings of the 2017 TREC Video Retrieval Evaluation, 2017

Real-Time Fine Grained Occupancy Estimation Using Depth Sensors on ARM Embedded Platforms.
Proceedings of the 2017 IEEE Real-Time and Embedded Technology and Applications Symposium, 2017

A comparison of Deep Learning methods for environmental sound detection.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Very deep convolutional neural networks for raw waveforms.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Learning Filter Banks Using Deep Learning For Acoustic Signals.
CoRR, 2016

Understanding Audio Pattern Using Convolutional Neural Network From Raw Waveforms.
CoRR, 2016


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