Yang Zhang

According to our database, Yang Zhang authored at least 79 papers between 2012 and 2024.

Collaborative distances:

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

2024

VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs.

Qiucheng Wu, Handong Zhao, Michael Saxon, Trung Bui, William Yang Wang, Yang Zhang, Shiyu Chang

CoRR, 2024

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference.

Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Rao Kompella, Sijia Liu, Shiyu Chang

CoRR, 2024

Towards Unsupervised Speech Recognition Without Pronunciation Models.

Junrui Ni, Liming Wang, Yang Zhang, Kaizhi Qian, Heting Gao, Mark Hasegawa-Johnson, Chang D. Yoo

CoRR, 2024

A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation.

Bairu Hou, Yang Zhang, Jacob Andreas, Shiyu Chang

CoRR, 2024

Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing.

Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang

CoRR, 2024

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion.

Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang

CoRR, 2024

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing.

Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling.

Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Speech Self-Supervised Learning Using Diffusion Model Synthetic Data.

Heting Gao, Kaizhi Qian, Junrui Ni, Chuang Gan, Mark A. Hasegawa-Johnson, Shiyu Chang, Yang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective.

Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Correcting Diffusion Generation Through Resampling.

Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Certified Robustness for Large Language Models with Self-Denoising.

Zhen Zhang, Guanhua Zhang, Bairu Hou, Wenqi Fan, Qing Li, Sijia Liu, Yang Zhang, Shiyu Chang

CoRR, 2023

Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning.

Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Yonggan Fu, Yingyan Lin

CoRR, 2023

Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models.

Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang

Proceedings of the International Conference on Machine Learning, 2023

Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning.

Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Yingyan Celine Lin

Proceedings of the International Conference on Machine Learning, 2023

PromptBoosting: Black-Box Text Classification with Ten Forward Passes.

Bairu Hou, Joe O'Connor, Jacob Andreas, Shiyu Chang, Yang Zhang

Proceedings of the International Conference on Machine Learning, 2023

TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization.

Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis.

Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models.

Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Audio-Visual Neural Syntax Acquisition.

Cheng-I Jeff Lai, Freda Shi, Puyuan Peng, Yoon Kim, Kevin Gimpel, Shiyu Chang, Yung-Sung Chuang, Saurabhchand Bhati, David D. Cox, David Harwath, Yang Zhang, Karen Livescu, James R. Glass

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

Domain Generalization for Language-Independent Automatic Speech Recognition.

Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson

Frontiers Artif. Intell., 2022

Improving Self-Supervised Speech Representations by Disentangling Speakers.

Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang

CoRR, 2022

SpeechSplit 2.0: Unsupervised speech disentanglement for voice conversion Without tuning autoencoder Bottlenecks.

Chak Ho Chan, Kaizhi Qian, Yang Zhang, Mark Hasegawa-Johnson

CoRR, 2022

Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials.

Andrew Ma, Yang Zhang, Thomas Christensen, Hoi Chun Po, Li Jing, Liang Fu, Marin Soljacic

CoRR, 2022

Fairness Reprogramming.

Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing.

Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Jeff Lai, Celine Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings.

Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-Wen Li, Scott Yih, Yoon Kim, James R. Glass

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition.

Junrui Ni, Liming Wang, Heting Gao, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson

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

WavPrompt: Towards Few-Shot Spoken Language Understanding with Frozen Language Models.

Heting Gao, Junrui Ni, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson

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

ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers.

Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang

Proceedings of the International Conference on Machine Learning, 2022

Data-Efficient Double-Win Lottery Tickets from Robust Pre-training.

Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2022

Linking Emergent and Natural Languages via Corpus Transfer.

Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Adversarial Support Alignment.

Shangyuan Tong, Timur Garipov, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola

Proceedings of the Tenth International Conference on Learning Representations, 2022

On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis.

Cheng-I Jeff Lai, Erica Cooper, Yang Zhang, Shiyu Chang, Kaizhi Qian, Yi-Lun Liao, Yung-Sung Chuang, Alexander H. Liu, Junichi Yamagishi, David D. Cox, James R. Glass

Proceedings of the IEEE International Conference on Acoustics, 2022

SpeechSplit2.0: Unsupervised Speech Disentanglement for Voice Conversion without Tuning Autoencoder Bottlenecks.

Chak Ho Chan, Kaizhi Qian, Yang Zhang, Mark Hasegawa-Johnson

Proceedings of the IEEE International Conference on Acoustics, 2022

Knowledge Graph Guided Simultaneous Forecasting and Network Learning for Multivariate Financial Time Series.

Shibal Ibrahim, Wenyu Chen, Yada Zhu, Pin-Yu Chen, Yang Zhang, Rahul Mazumder

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

An Adversarial Framework for Generating Unseen Images by Activation Maximization.

Yang Zhang, Wang Zhou, Gaoyuan Zhang, David D. Cox, Shiyu Chang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Global Rhythm Style Transfer Without Text Transcriptions.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson

CoRR, 2021

Understanding Interlocking Dynamics of Cooperative Rationalization.

Mo Yu, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition.

Cheng-I Jeff Lai, Yang Zhang, Alexander H. Liu, Shiyu Chang, Yi-Lun Liao, Yung-Sung Chuang, Kaizhi Qian, Sameer Khurana, David D. Cox, James R. Glass

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks.

Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David D. Cox, Yingyan Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Speech Denoising with Auditory Models.

Mark R. Saddler, Andrew Francl, Jenelle Feather, Kaizhi Qian, Yang Zhang, Josh H. McDermott

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Zero-Shot Cross-Lingual Phonetic Recognition with External Language Embedding.

Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Global Prosody Style Transfer Without Text Transcriptions.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson

Proceedings of the 38th International Conference on Machine Learning, 2021

Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators.

Yonggan Fu, Yongan Zhang, Yang Zhang, David D. Cox, Yingyan Lin

Proceedings of the 38th International Conference on Machine Learning, 2021

SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam.

Yonggan Fu, Yang Zhang, Yue Wang, Zhihan Lu, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Continuous Cnn For Nonuniform Time Series.

Hui Shi, Yang Zhang, Hao Wu, Shiyu Chang, Kaizhi Qian, Mark Hasegawa-Johnson, Jishen Zhao

Proceedings of the IEEE International Conference on Acoustics, 2021

Probabilistic framework for modeling event shocks to financial time series.

Yada Zhu, Wenyu Chen, Yang Zhang, Tian Gao, Jianbo Li

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models.

Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Generating Visually Aligned Sound From Videos.

Peihao Chen, Yang Zhang, Mingkui Tan, Hongdong Xiao, Deng Huang, Chuang Gan

IEEE Trans. Image Process., 2020

Deep Network Perceptual Losses for Speech Denoising.

Mark R. Saddler, Andrew Francl, Jenelle Feather, Kaizhi Qian, Yang Zhang, Josh H. McDermott

CoRR, 2020

The Lottery Ticket Hypothesis for Pre-trained BERT Networks.

Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Unsupervised Speech Decomposition via Triple Information Bottleneck.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson, David D. Cox

Proceedings of the 37th International Conference on Machine Learning, 2020

Invariant Rationalization.

Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack.

Yang Zhang, Shiyu Chang, Mo Yu, Kaizhi Qian

CoRR, 2019

Zero-Shot Voice Style Transfer with Only Autoencoder Loss.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson

CoRR, 2019

A Game Theoretic Approach to Class-wise Selective Rationalization.

Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson

Proceedings of the 36th International Conference on Machine Learning, 2019

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control.

Mo Yu, Shiyu Chang, Yang Zhang, Tommi S. Jaakkola

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Grounding Spoken Words in Unlabeled Video.

Angie W. Boggust, Kartik Audhkhasi, Dhiraj Joshi, David Harwath, Samuel Thomas, Rogério Schmidt Feris, Danny Gutfreund, Yang Zhang, Antonio Torralba, Michael Picheny, James R. Glass

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Deep Learning Based Speech Beamforming.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Dinei A. F. Florêncio, Mark Hasegawa-Johnson

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Geometry-Aware Traffic Flow Analysis by Detection and Tracking.

Honghui Shi, Zhonghao Wang, Yang Zhang, Xinchao Wang, Thomas S. Huang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Application of generative models in speech processing tasks

Yang Zhang

PhD thesis, 2017

A multidisciplinary approach to designing and evaluating Electronic Medical Record portal messages that support patient self-care.

Daniel G. Morrow, Mark Hasegawa-Johnson, Thomas S. Huang, William Schuh, Renato Ferreira Leitão Azevedo, Kuangxiao Gu, Yang Zhang, Bidisha Roy, Rocío García-Retamero

J. Biomed. Informatics, 2017

Streaming Recommender Systems.

Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang

Proceedings of the 26th International Conference on World Wide Web, 2017

Dilated Recurrent Neural Networks.

Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Glottal Model Based Speech Beamforming for ad-hoc Microphone Arrays.

Yang Zhang, Dinei Florêncio, Mark Hasegawa-Johnson

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Speech Enhancement Using Bayesian Wavenet.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Dinei Florêncio, Mark Hasegawa-Johnson

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Fast Generation for Convolutional Autoregressive Models.

Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang

Proceedings of the 5th International Conference on Learning Representations, 2017

Dr. Babel Fish: A Machine Translator to Simplify Providers' Language.

Tarek Sakakini, Renato Ferreira Leitão Azevedo, Victor Sadauskas, Kuangxiao Gu, Yang Zhang, Suma Bhat, Daniel G. Morrow, Mark Hasegawa-Johnson, Thomas S. Huang, Ann M. Willemsen-Dunlap, Donald J. Halpin, James F. Graumlich

Proceedings of the AMIA 2017, 2017

Using Computer Agents to Explain Clinical Test Results.

Renato Ferreira Leitão Azevedo, Kuangxiao Gu, Yang Zhang, Victor Sadauskas, Tarek Sakakini, Daniel G. Morrow, Mark Hasegawa-Johnson, Thomas S. Huang, Suma Bhat, Ann Willemsen-Dunlap, Donald J. Halpin, James F. Graumlich, William Schuh

Proceedings of the AMIA 2017, 2017

2016

Fast Wavenet Generation Algorithm.

Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang, Prajit Ramachandran, Mark A. Hasegawa-Johnson, Thomas S. Huang

CoRR, 2016

Use of particle filtering and MCMC for inference in Probabilistic Acoustic Tube model.

Ruobai Wang, Yang Zhang, Zhijian Ou, Mark Hasegawa-Johnson

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Positive-Unlabeled Learning in Streaming Networks.

Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Incorporating AM-FM effect in voiced speech for probabilistic acoustic tube model.

Yang Zhang, Zhijian Ou, Mark Hasegawa-Johnson

Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Multichannel transient acoustic signal classification using task-driven dictionary with joint sparsity and beamforming.

Yang Zhang, Nasser M. Nasrabadi, Mark Hasegawa-Johnson

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

An iterative approach to decision tree training for context dependent speech synthesis.

Xiayu Chen, Yang Zhang, Mark Hasegawa-Johnson

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Improvement of Probabilistic Acoustic Tube model for speech decomposition.

Yang Zhang, Zhijian Ou, Mark Hasegawa-Johnson

Proceedings of the IEEE International Conference on Acoustics, 2014

2012

Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis.

Zhijian Ou, Yang Zhang

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012