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ORCIDYang Zhang 0001
Person information
- affiliation: MIT-IBM Watson AI Lab, Cambridge, MA, USA
- affiliation (former): University of Illinois at Urbana-Champaign, Urbana, IL, USA
Other persons with the same name
- Yang Zhang — disambiguation page
- Yang Zhang 0002
![[0000-0002-7260-5098]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7260-5098")
— Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (and 2 more) - Yang Zhang 0003 — University of Bristol, UK
- Yang Zhang 0004 — University of Twente, Enschede, Netherlands
- Yang Zhang 0005 — Georgia Institute of Technology, Atlanta, GA, USA
- Yang Zhang 0006 — University of Minnesota, Minneapolis, USA
- Yang Zhang 0007 — University of Sheffield, UK
- Yang Zhang 0008 — University of the Chinese Academy of Sciences, Beijing, China (and 1 more)
- Yang Zhang 0009 — University of Science and Technology, Research Center for Bioengineering and Sensing Technology, Beijing, China
- Yang Zhang 0010 — Northwest A&F University, Yangling, China
- Yang Zhang 0011 — Dalian University of Technology, Key Laboratory for Precision and Non-Traditional Machining Technology of the Ministry of Education, China
- Yang Zhang 0012 — Shenzhen University, School of Computer Science and Software Engineering, Shenzhen, China (and 1 more)
- Yang Zhang 0013 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China (and 1 more)
- Yang Zhang 0014 — University of Southern California, Ming Hsieh Department of Electrical Engineering, Los Angeles, CA, USA
- Yang Zhang 0015 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Yang Zhang 0016 — CISPA, Helmholtz Center for Information Security, Saarbrücken, Germany (and 1 more)
- Yang Zhang 0017 — ForeScout Technologies Inc. (and 2 more)
- Yang Zhang 0018 — North Carolina State University, Department of Marine, Earth, and Atmospheric Sciences, Raleigh, NC, USA
- Yang Zhang 0019 — Nankai University, Institute of Machine Intelligence, Tianjin, China
- Yang Zhang 0020 — ETH Zürich, Switzerland (and 1 more)
- Yang Zhang 0021 — Chinese Academy of Sciences, Institute of Software, Beijing, China
- Yang Zhang 0022 — Fourth Military Medical University, Department of Biomedical Engineering, Xi'an, China
- Yang Zhang 0023 — North University of China, Key Laboratory of Instrumentation Science & Dynamic Measurement, Taiyuan, China
- Yang Zhang 0024 — State Key Laboratory of Information Security, Beijing, China
- Yang Zhang 0025 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, Nanjing, Jiangsu, China (and 2 more)
- Yang Zhang 0026 — National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China
- Yang Zhang 0027 — Mechanical Engineering College, Information Engineering Department, Shijiazhuang, China
- Yang Zhang 0028 — Chinese Academy of Science, Shenyang Institute of Automation, State Key Laboratory of Robotics, China
- Yang Zhang 0029 — Beijing University of Technology, College of Mechanical Engineering, Beijing Key Laboratory of Nonlinear Vibrations and Strength of Mechanical Structures, China
- Yang Zhang 0030 — University of Louvain, Department of Electrical Engineering, Micro-Electronics and Sensors, Belgium
- Yang Zhang 0031 — University of Illinois Urbana-Champaign, School of Information Sciences, IL, USA (and 1 more)
- Yang Zhang 0032 — Beijing University of Chemical Technology, College of Information Science and Technology, China (and 1 more)
- Yang Zhang 0033 — Hong Kong University of Science and Technology, Department of Mechanical and Aerospace Engineering, Hong Kong
- Yang Zhang 0034 — Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Yang Zhang 0035 — University of Central Florida, Center for Research in Computer Vision, Orlando, FL, USA
- Yang Zhang 0036 — National University of Defense Technology, College of Electronic Science, Changsha, China (and 1 more)
- Yang Zhang 0037 — Hebei University of Science and Technology, School of Information Science and Technology, Shijiazhuang, China (and 1 more)
- Yang Zhang 0038 — Jilin University, College of Computer Science and Technology, China
- Yang Zhang 0039 — University College London, Department of Civil, Environmental and Geomatic Engineering, UK
- Yang Zhang 0040 — University of Michigan, Department of Computational Medicine and Bioinformatics, Ann Arbor, MI, USA
- Yang Zhang 0041 — University of California, School of Engineering, Los Angeles, CA, USA (and 1 more)
- Yang Zhang 0042 — University of Illinois System, Department of Bioengineering, Urbana, IL, USA
- Yang Zhang 0043 — Technical University of Denmark, Department of Mechanical Engineering, Lyngby, Denmark
- Yang Zhang 0044 — University of Missouri, Department of Electrical Engineering and Computer Science, Columbia, MO, USA
- Yang Zhang 0045 — University of Manitoba, Department of Mathematics, Winnipeg, MB, Canada
- Yang Zhang 0046 — Xi'an Jiaotong University, Department of Fluid Machinery and Engineering, China
- Yang Zhang 0047 — Chang'an University, School of Information Engineering, Xi'an, China
- Yang Zhang 0048 — Beijing Jiaotong University, School of Electronic and Information Engineering, Beijing, China
- Yang Zhang 0049 — Harbin Engineering University, College of Underwater Acoustic Engineering, China
- Yang Zhang 0050 — Shanghai Polytechnic University, College of Computer and Information Engineering, China
- Yang Zhang 0051 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan National Laboratory for Optoelectronics, Engineering Research Center of Data Storage Systems and Technology, Wuhan, China
- Yang Zhang 0052 — Tsinghua University, Center for Speech and Language Technologies, Beijing, China
- Yang Zhang 0053 — Nanjing University, National Key Laboratory for Novel Software Technology, China
- Yang Zhang 0054 — Fujian Agriculture and Forestry University, College of Resources and Environment, Fuzhou, China (and 1 more)
- Yang Zhang 0055 — National University of Singapore, Global Asia Institute, Singapore
- Yang Zhang 0056 — Sinotech Genomics Inc., Department of Research and Development, Shanghai, China
- Yang Zhang 0057 — Harbin Institute of Technology, College of Science, Shenzhen, China (and 1 more)
- Yang Zhang 0058 — Kyoto University, Graduate School of Informatics, Japan
- Yang Zhang 0059 — Ocean University of China, Engineering College, Qingdao, China
- Yang Zhang 0060 — Heilongjiang University, School of Electronic and Engineering, Harbin, China (and 1 more)
- Yang Zhang 0061 — Fujian University of Technology, School of Transportation, Fuzhou, China (and 1 more)
- Yang Zhang 0062 — Communication University of China, School of Information and Communication Engineering, Beijing, China
- Yang Zhang 0063 — Hunan University of Technology, College of Electrical and Information Engineering, Zhuzhou, China
- Yang Zhang 0064 — Xidian University, School of Artificial Intelligence / International Research Center for Intelligent Perception and Computation, Xi'an, China
- Y Z (aka: Yang Zhang 0065) — University of Michigan, Department of Nuclear Engineering and Radiological Sciences, Ann Arbor, MI, USA (and 3 more)
- Yang Zhang 0067 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China (and 2 more)
- Yang Zhang 0068 — Hong Kong Polytechnic University, Department of Building Service Engineering, Hong Kong
- Yang Zhang 0069 — Polytechnic University of Turin, Department of Energy, Italy
- Yang Zhang 0070 — Peking University, Shenzhen Graduate School, Communication and Information Security Laboratory, China
- Yang Zhang 0071 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, Department of Space Robot Engineering, China
- Yang Zhang 0072 — University of Science and Technology of China, Hefei, China
- Yang Zhang 0073 — City University of Hong Kong, City University of Hong Kong, Hong Kong
- Yang Zhang 0074 — University of Minnesota-Twin Cities, Department of Computer Science, Minneapolis, MN, USA
- Yang Zhang 0075 — Shandong University, Qilu Hospital, Department of Radiology, Jinan, China
- Yang Zhang 0076 — Beijing Forestry University, Department of Business Management, China
- Yang Zhang 0077 — Sun Yat-Sen University, School of Information Management, Guangzhou, China
- Yang Zhang 0078 — Tianjin University of Commerce, School of Management, China
- Yang Zhang 0079 — DeepWisdom, Ltd, Xiamen, China
- Yang Zhang 0080 — Johns Hopkins University, Department of Biomedical Engineering, Baltimore, MD, USA (and 1 more)
- Yang Zhang 0081 — Interuniversity Microelectronics Center (Imec), Leuven, Belgium
- Yang Zhang 0082 — Shanghai Jiao Tong University, School of Mechanical Engineering, State Key Laboratory of Mechanical System and Vibration, China
- Yang Zhang 0083 — Harbin Institute of Technology, School of Electronics and Information Engineering, China
- Yang Zhang 0084 — Jilin University, College of Instrumentation and Electrical Engineering, / MOE Key Laboratory of Geophysical Exploration Equipment, Changchun, China (and 1 more)
- Yang Zhang 0085 — Chinese Academy of Meteorological Sciences, State Key Laboratory of Severe Weather, Beijing, China
- Yang Zhang 0086 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
- Yang Zhang 0087 — Henan Institute of Technology, Department of Computer Science and Technology, Xinxiang, China
- Yang Zhang 0088 — Bytedance AI Lab, China
- Yang Zhang 0089 — NVIDIA, Santa Clara, CA, USA
- Yang Zhang 0090 — Capital University of Economics and Business, Beijing, China
- Yang Zhang 0091 — Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China
- Yang Zhang 0092 — Jilin University, College of Instrumentation and Electrical Engineering, / MOE Key Laboratory of Geophysical Exploration Equipment, Changchun, China
- Yang Zhang 0093 — Kanagawa University, Department of Computer Science, Yokohama, Japan (and 1 more)
- Yang Zhang 0094 — Renmin University of China, Gaoling School of Artificial Intelligence, Beijing, China
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2020 – today
- 2024
[c59]Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang:
Correcting Diffusion Generation Through Resampling. CVPR 2024: 8713-8723- [c58]Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang:
Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective. EMNLP 2024: 8708-8731 - [c57]Heting Gao, Kaizhi Qian, Junrui Ni, Chuang Gan, Mark A. Hasegawa-Johnson, Shiyu Chang, Yang Zhang:
Speech Self-Supervised Learning Using Diffusion Model Synthetic Data. ICML 2024 - [c56]Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang:
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling. ICML 2024 - [c55]Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang:
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. NAACL (Short Papers) 2024: 246-257 - [i51]Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang:
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. CoRR abs/2401.15555 (2024) - [i50]Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang:
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. CoRR abs/2402.16192 (2024) - [i49]Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang:
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. CoRR abs/2404.12274 (2024) - [i48]Bairu Hou, Yang Zhang, Jacob Andreas, Shiyu Chang:
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation. CoRR abs/2406.06950 (2024) - [i47]Junrui Ni, Liming Wang, Yang Zhang, Kaizhi Qian, Heting Gao, Mark Hasegawa-Johnson, Chang D. Yoo:
Towards Unsupervised Speech Recognition Without Pronunciation Models. CoRR abs/2406.08380 (2024) - [i46]Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Rao Kompella, Sijia Liu, Shiyu Chang:
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference. CoRR abs/2406.08607 (2024) - [i45]Qiucheng Wu, Handong Zhao, Michael Saxon, Trung Bui, William Yang Wang, Yang Zhang, Shiyu Chang:
VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs. CoRR abs/2407.01863 (2024) - [i44]Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang:
Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective. CoRR abs/2407.16997 (2024) - [i43]Yujian Liu, Shiyu Chang, Tommi S. Jaakkola, Yang Zhang:
Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning. CoRR abs/2410.19290 (2024) - 2023
- [c54]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:
Audio-Visual Neural Syntax Acquisition. ASRU 2023: 1-8 - [c53]Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang:
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. CVPR 2023: 1900-1910 - [c52]Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang:
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis. ICCV 2023: 7732-7742 - [c51]Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang:
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. ICLR 2023 - [c50]Bairu Hou, Joe O'Connor, Jacob Andreas, Shiyu Chang, Yang Zhang:
PromptBoosting: Black-Box Text Classification with Ten Forward Passes. ICML 2023: 13309-13324 - [c49]Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Yingyan Celine Lin:
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. ICML 2023: 40475-40487 - [c48]Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang:
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. ICML 2023: 41164-41193 - [i42]Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang:
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. CoRR abs/2304.03322 (2023) - [i41]Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang:
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis. CoRR abs/2304.03869 (2023) - [i40]Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Yonggan Fu, Yingyan Lin:
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. CoRR abs/2306.15686 (2023) - [i39]Zhen Zhang, Guanhua Zhang, Bairu Hou, Wenqi Fan, Qing Li, Sijia Liu, Yang Zhang, Shiyu Chang:
Certified Robustness for Large Language Models with Self-Denoising. CoRR abs/2307.07171 (2023) - [i38]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:
Audio-Visual Neural Syntax Acquisition. CoRR abs/2310.07654 (2023) - [i37]Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang:
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling. CoRR abs/2311.08718 (2023) - [i36]Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang:
Correcting Diffusion Generation through Resampling. CoRR abs/2312.06038 (2023) - 2022
- [j3]Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson:
Domain Generalization for Language-Independent Automatic Speech Recognition. Frontiers Artif. Intell. 5: 806274 (2022) - [c47]Yang Zhang, Wang Zhou, Gaoyuan Zhang, David D. Cox, Shiyu Chang:
An Adversarial Framework for Generating Unseen Images by Activation Maximization. AAAI 2022: 3371-3379 - [c46]Shibal Ibrahim, Wenyu Chen, Yada Zhu, Pin-Yu Chen, Yang Zhang, Rahul Mazumder:
Knowledge Graph Guided Simultaneous Forecasting and Network Learning for Multivariate Financial Time Series. ICAIF 2022: 480-488 - [c45]Chak Ho Chan, Kaizhi Qian, Yang Zhang, Mark Hasegawa-Johnson:
SpeechSplit2.0: Unsupervised Speech Disentanglement for Voice Conversion without Tuning Autoencoder Bottlenecks. ICASSP 2022: 6332-6336 - [c44]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:
On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis. ICASSP 2022: 8447-8451 - [c43]Shangyuan Tong, Timur Garipov, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola:
Adversarial Support Alignment. ICLR 2022 - [c42]Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan:
Linking Emergent and Natural Languages via Corpus Transfer. ICLR 2022 - [c41]Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang:
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training. ICML 2022: 3747-3759 - [c40]Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang:
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers. ICML 2022: 18003-18017 - [c39]Junrui Ni, Liming Wang, Heting Gao, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson:
Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition. INTERSPEECH 2022: 461-465 - [c38]Heting Gao, Junrui Ni, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson:
WavPrompt: Towards Few-Shot Spoken Language Understanding with Frozen Language Models. INTERSPEECH 2022: 2738-2742 - [c37]Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-Wen Li, Scott Yih, Yoon Kim, James R. Glass:
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. NAACL-HLT 2022: 4207-4218 - [c36]Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Jeff Lai, Celine Lin:
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. NeurIPS 2022 - [c35]Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang:
Fairness Reprogramming. NeurIPS 2022 - [i35]Andrew Ma, Yang Zhang, Thomas Christensen, Hoi Chun Po, Li Jing, Liang Fu, Marin Soljacic:
Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials. CoRR abs/2202.05255 (2022) - [i34]Shangyuan Tong, Timur Garipov, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola:
Adversarial Support Alignment. CoRR abs/2203.08908 (2022) - [i33]Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan:
Linking Emergent and Natural Languages via Corpus Transfer. CoRR abs/2203.13344 (2022) - [i32]Chak Ho Chan, Kaizhi Qian, Yang Zhang, Mark Hasegawa-Johnson:
SpeechSplit 2.0: Unsupervised speech disentanglement for voice conversion Without tuning autoencoder Bottlenecks. CoRR abs/2203.14156 (2022) - [i31]Junrui Ni, Liming Wang, Heting Gao, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson:
Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition. CoRR abs/2203.15796 (2022) - [i30]Heting Gao, Junrui Ni, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson:
WAVPROMPT: Towards Few-Shot Spoken Language Understanding with Frozen Language Models. CoRR abs/2203.15863 (2022) - [i29]Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang:
Improving Self-Supervised Speech Representations by Disentangling Speakers. CoRR abs/2204.09224 (2022) - [i28]Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-Wen Li, Wen-tau Yih, Yoon Kim, James R. Glass:
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. CoRR abs/2204.10298 (2022) - [i27]Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang:
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training. CoRR abs/2206.04762 (2022) - [i26]Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang:
Fairness Reprogramming. CoRR abs/2209.10222 (2022) - [i25]Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Lai, Yingyan Lin:
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. CoRR abs/2211.01522 (2022) - [i24]Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang:
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. CoRR abs/2212.08698 (2022) - [i23]Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang:
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. CoRR abs/2212.09254 (2022) - [i22]Bairu Hou, Joe O'Connor, Jacob Andreas, Shiyu Chang, Yang Zhang:
PromptBoosting: Black-Box Text Classification with Ten Forward Passes. CoRR abs/2212.09257 (2022) - 2021
- [c34]Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang:
The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models. CVPR 2021: 16306-16316 - [c33]Yada Zhu, Wenyu Chen, Yang Zhang, Tian Gao, Jianbo Li:
Probabilistic framework for modeling event shocks to financial time series. ICAIF 2021: 42:1-42:8 - [c32]Hui Shi, Yang Zhang, Hao Wu, Shiyu Chang, Kaizhi Qian, Mark Hasegawa-Johnson, Jishen Zhao:
Continuous Cnn For Nonuniform Time Series. ICASSP 2021: 3550-3554 - [c31]Yonggan Fu, Yang Zhang, Yue Wang, Zhihan Lu, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin:
SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam. ICCV 2021: 5148-5157 - [c30]Yonggan Fu, Yongan Zhang, Yang Zhang, David D. Cox, Yingyan Lin:
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators. ICML 2021: 3505-3517 - [c29]Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson:
Global Prosody Style Transfer Without Text Transcriptions. ICML 2021: 8650-8660 - [c28]Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson:
Zero-Shot Cross-Lingual Phonetic Recognition with External Language Embedding. Interspeech 2021: 1304-1308 - [c27]Mark R. Saddler, Andrew Francl, Jenelle Feather, Kaizhi Qian, Yang Zhang, Josh H. McDermott:
Speech Denoising with Auditory Models. Interspeech 2021: 2681-2685 - [c26]Mo Yu, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola:
Understanding Interlocking Dynamics of Cooperative Rationalization. NeurIPS 2021: 12822-12835 - [c25]Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David D. Cox, Yingyan Lin:
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks. NeurIPS 2021: 13059-13072 - [c24]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:
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition. NeurIPS 2021: 21256-21272 - [i21]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:
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition. CoRR abs/2106.05933 (2021) - [i20]Yonggan Fu, Yongan Zhang, Yang Zhang, David D. Cox, Yingyan Lin:
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators. CoRR abs/2106.06575 (2021) - [i19]Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson:
Global Rhythm Style Transfer Without Text Transcriptions. CoRR abs/2106.08519 (2021) - [i18]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:
On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis. CoRR abs/2110.01147 (2021) - [i17]Mo Yu, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola:
Understanding Interlocking Dynamics of Cooperative Rationalization. CoRR abs/2110.13880 (2021) - [i16]Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David D. Cox, Yingyan Lin:
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks. CoRR abs/2110.14068 (2021) - 2020
- [j2]Peihao Chen, Yang Zhang, Mingkui Tan, Hongdong Xiao, Deng Huang, Chuang Gan:
Generating Visually Aligned Sound From Videos. IEEE Trans. Image Process. 29: 8292-8302 (2020) - [c23]Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola:
Invariant Rationalization. ICML 2020: 1448-1458 - [c22]Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson, David D. Cox:
Unsupervised Speech Decomposition via Triple Information Bottleneck. ICML 2020: 7836-7846 - [c21]Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin:
The Lottery Ticket Hypothesis for Pre-trained BERT Networks. NeurIPS 2020 - [i15]Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola:
Invariant Rationalization. CoRR abs/2003.09772 (2020) - [i14]Kaizhi Qian, Yang Zhang, Shiyu Chang, David D. Cox, Mark Hasegawa-Johnson:
Unsupervised Speech Decomposition via Triple Information Bottleneck. CoRR abs/2004.11284 (2020) - [i13]Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin:
The Lottery Ticket Hypothesis for Pre-trained BERT Networks. CoRR abs/2007.12223 (2020) - [i12]Peihao Chen, Yang Zhang, Mingkui Tan, Hongdong Xiao, Deng Huang, Chuang Gan:
Generating Visually Aligned Sound from Videos. CoRR abs/2008.00820 (2020) - [i11]Mark R. Saddler, Andrew Francl, Jenelle Feather, Kaizhi Qian, Yang Zhang, Josh H. McDermott:
Deep Network Perceptual Losses for Speech Denoising. CoRR abs/2011.10706 (2020) - [i10]Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang:
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models. CoRR abs/2012.06908 (2020)
2010 – 2019
- 2019
- [c20]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:
Grounding Spoken Words in Unlabeled Video. CVPR Workshops 2019: 29-32 - [c19]Mo Yu, Shiyu Chang, Yang Zhang, Tommi S. Jaakkola:
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control. EMNLP/IJCNLP (1) 2019: 4092-4101 - [c18]Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson:
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss. ICML 2019: 5210-5219 - [c17]Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola:
A Game Theoretic Approach to Class-wise Selective Rationalization. NeurIPS 2019: 10055-10065 - [i9]Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson:
Zero-Shot Voice Style Transfer with Only Autoencoder Loss. CoRR abs/1905.05879 (2019) - [i8]Yang Zhang, Shiyu Chang, Mo Yu, Kaizhi Qian:
An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack. CoRR abs/1910.00511 (2019) - [i7]Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola:
A Game Theoretic Approach to Class-wise Selective Rationalization. CoRR abs/1910.12853 (2019) - [i6]Mo Yu, Shiyu Chang, Yang Zhang, Tommi S. Jaakkola:
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control. CoRR abs/1910.13294 (2019) - 2018
- [c16]Honghui Shi, Zhonghao Wang, Yang Zhang, Xinchao Wang, Thomas S. Huang:
Geometry-Aware Traffic Flow Analysis by Detection and Tracking. CVPR Workshops 2018: 116-120 - [c15]Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Dinei A. F. Florêncio, Mark Hasegawa-Johnson:
Deep Learning Based Speech Beamforming. ICASSP 2018: 5389-5393 - [i5]Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Dinei A. F. Florêncio, Mark Hasegawa-Johnson:
Deep Learning Based Speech Beamforming. CoRR abs/1802.05383 (2018) - 2017
- [b1]Yang Zhang:
Application of generative models in speech processing tasks. University of Illinois Urbana-Champaign, USA, 2017 - [j1]Daniel G. Morrow, Mark Hasegawa-Johnson, Thomas S. Huang, William Schuh, Renato Ferreira Leitão Azevedo, Kuangxiao Gu, Yang Zhang, Bidisha Roy, Rocío García-Retamero:
A multidisciplinary approach to designing and evaluating Electronic Medical Record portal messages that support patient self-care. J. Biomed. Informatics 69: 63-74 (2017) - [c14]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:
Using Computer Agents to Explain Clinical Test Results. AMIA 2017 - [c13]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:
Dr. Babel Fish: A Machine Translator to Simplify Providers' Language. AMIA 2017 - [c12]Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang:
Fast Generation for Convolutional Autoregressive Models. ICLR (Workshop) 2017 - [c11]Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Dinei Florêncio, Mark Hasegawa-Johnson:
Speech Enhancement Using Bayesian Wavenet. INTERSPEECH 2017: 2013-2017 - [c10]Yang Zhang, Dinei Florêncio, Mark Hasegawa-Johnson:
Glottal Model Based Speech Beamforming for ad-hoc Microphone Arrays. INTERSPEECH 2017: 2675-2679 - [c9]Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. NIPS 2017: 77-87 - [c8]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. WWW 2017: 381-389 - [i4]Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang:
Fast Generation for Convolutional Autoregressive Models. CoRR abs/1704.06001 (2017) - [i3]Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. CoRR abs/1710.02224 (2017) - 2016
- [c7]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Positive-Unlabeled Learning in Streaming Networks. KDD 2016: 755-764 - [c6]Ruobai Wang, Yang Zhang, Zhijian Ou, Mark Hasegawa-Johnson:
Use of particle filtering and MCMC for inference in Probabilistic Acoustic Tube model. SSP 2016: 1-5 - [i2]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. CoRR abs/1607.06182 (2016) - [i1]Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang, Prajit Ramachandran, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Fast Wavenet Generation Algorithm. CoRR abs/1611.09482 (2016) - 2015
- [c5]Yang Zhang, Nasser M. Nasrabadi, Mark Hasegawa-Johnson:
Multichannel transient acoustic signal classification using task-driven dictionary with joint sparsity and beamforming. ICASSP 2015: 1866-1870 - [c4]Yang Zhang, Zhijian Ou, Mark Hasegawa-Johnson:
Incorporating AM-FM effect in voiced speech for probabilistic acoustic tube model. WASPAA 2015: 1-5 - 2014
- [c3]Yang Zhang, Zhijian Ou, Mark Hasegawa-Johnson:
Improvement of Probabilistic Acoustic Tube model for speech decomposition. ICASSP 2014: 7929-7933 - [c2]Xiayu Chen, Yang Zhang, Mark Hasegawa-Johnson:
An iterative approach to decision tree training for context dependent speech synthesis. INTERSPEECH 2014: 2327-2331 - 2012
- [c1]Zhijian Ou, Yang Zhang:
Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis. AISTATS 2012: 841-849
Coauthor Index
[c59] [c58] [c57] [c56] [c55] [i51] [i50] [i49] [i48] [i46] [i45] [i44] [i43] [c54] [c53] [c52] [c51] [c50] [c48] [i42] [i41] [i39] [i38] [i37] [i36] [j3] [c47] [c44] [c43] [c41] [c40] [c39] [c38] [c37] [c35] [i34] [i31] [i30] [i29] [i28] [i27] [i26] [i24] [i23] [i22] [c34] [c32] [c29] [c28] [c26] [c24] [i21] [i19] [i18] [i17] [c23] [c22] [c21] [i15] [i14] [i13] [i10] [c19] [c18] [c17] [i9] [i8] [i7] [i6] [c15] [i5] [c12] [c11] [c9] [c8] [i4] [i3] [c7] [i2] [i1]
Mark Hasegawa-Johnson
aka: Mark A. Hasegawa-Johnson
aka: Mark A. Hasegawa-Johnson
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