Yingbo Zhou

According to our database, Yingbo Zhou authored at least 86 papers between 2010 and 2024.

Collaborative distances:

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

2024

HiReNet: Hierarchical-Relation Network for Few-Shot Remote Sensing Image Scene Classification.

Feng Tian, Sen Lei, Yingbo Zhou, Jialin Cheng, Guohao Liang, Zhengxia Zou, Heng-Chao Li, Zhenwei Shi

IEEE Trans. Geosci. Remote. Sens., 2024

Personalized Federated Instruction Tuning via Neural Architecture Search.

Pengyu Zhang, Yingbo Zhou, Ming Hu, Junxian Feng, Jiawen Weng, Mingsong Chen

CoRR, 2024

Parameter-Efficient Detoxification with Contrastive Decoding.

Tong Niu, Caiming Xiong, Semih Yavuz, Yingbo Zhou

CoRR, 2024

Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning.

Lifu Tu, Jin Qu, Semih Yavuz, Shafiq Joty, Wenhao Liu, Caiming Xiong, Yingbo Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Merlion: End-to-End Machine Learning for Time Series.

Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang

J. Mach. Learn. Res., 2023

Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models.

Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou

CoRR, 2023

DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text.

Wenting Zhao, Ye Liu, Tong Niu, Yao Wan, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz

CoRR, 2023

WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks.

Jun Xia, Zhihao Yue, Yingbo Zhou, Zhiwei Ling, Xian Wei, Mingsong Chen

CoRR, 2023

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models.

Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan

CoRR, 2023

Investigating Answerability of LLMs for Long-Form Question Answering.

Meghana Moorthy Bhat, Rui Meng, Ye Liu, Yingbo Zhou, Semih Yavuz

CoRR, 2023

XGen-7B Technical Report.

Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, Wojciech Kryscinski, Lidiya Murakhovs'ka, Prafulla Kumar Choubey, Alexander R. Fabbri, Ye Liu, Rui Meng, Lifu Tu, Meghana Bhat, Chien-Sheng Wu, Silvio Savarese, Yingbo Zhou, Shafiq Joty, Caiming Xiong

CoRR, 2023

Exploring the Integration Strategies of Retriever and Large Language Models.

Ye Liu, Semih Yavuz, Rui Meng, Meghana Moorthy, Shafiq Joty, Caiming Xiong, Yingbo Zhou

CoRR, 2023

EqGAN: Feature Equalization Fusion for Few-shot Image Generation.

Yingbo Zhou, Zhihao Yue, Yutong Ye, Pengyu Zhang, Xian Wei, Mingsong Chen

CoRR, 2023

Answering Complex Questions over Text by Hybrid Question Parsing and Execution.

Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou

CoRR, 2023

CodeGen2: Lessons for Training LLMs on Programming and Natural Languages.

Erik Nijkamp, Hiroaki Hayashi, Caiming Xiong, Silvio Savarese, Yingbo Zhou

CoRR, 2023

CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning.

Pengyu Zhang, Yingbo Zhou, Ming Hu, Xin Fu, Xian Wei, Mingsong Chen

CoRR, 2023

Underfrequency Load Shedding Strategy With an Adaptive Variation Capability for Multi-Microgrids.

Ran Chen, Hanping Xu, Li Zhou, Jie Cai, Chuanyu Xiong, Yingbo Zhou, Xuefei Zhang, Qingguo Dong, Can Wang, Nan Yang

IEEE Access, 2023

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild.

Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning.

Yutong Ye, Yingbo Zhou, Jiepin Ding, Ting Wang, Mingsong Chen, Xiang Lian

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong

Proceedings of the Eleventh International Conference on Learning Representations, 2023

HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution.

Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Shafiq Joty, Yingbo Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Few-shot Unified Question Answering: Tuning Models or Prompts?

Srijan Bansal, Semih Yavuz, Bo Pang, Meghana Bhat, Yingbo Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SharPT: Shared Latent Space Prompt Tuning.

Bo Pang, Semih Yavuz, Caiming Xiong, Yingbo Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Long Document Summarization with Top-down and Bottom-up Inference.

Bo Pang, Erik Nijkamp, Wojciech Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Best-k Search Algorithm for Neural Text Generation.

Jiacheng Xu, Caiming Xiong, Silvio Savarese, Yingbo Zhou

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation.

Rui Meng, Tong Wang, Xingdi Yuan, Yingbo Zhou, Daqing He

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation.

Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal, Lifu Tu, Ning Yu, Jianguo Zhang, Meghana Bhat, Yingbo Zhou

CoRR, 2022

BigIssue: A Realistic Bug Localization Benchmark.

Paul Kassianik, Erik Nijkamp, Bo Pang, Yingbo Zhou, Caiming Xiong

CoRR, 2022

A Conversational Paradigm for Program Synthesis.

Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong

CoRR, 2022

Converse: A Tree-Based Modular Task-Oriented Dialogue System.

Tian Xie, Xinyi Yang, Angela S. Lin, Feihong Wu, Kazuma Hashimoto, Jin Qu, Young Mo Kang, Wenpeng Yin, Huan Wang, Semih Yavuz, Gang Wu, Michael Jones, Richard Socher, Yingbo Zhou, Wenhao Liu, Caiming Xiong

CoRR, 2022

Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering.

Man Luo, Kazuma Hashimoto, Semih Yavuz, Zhiwei Liu, Chitta Baral, Yingbo Zhou

CoRR, 2022

Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization.

Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong

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

Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control.

Haopeng Zhang, Semih Yavuz, Wojciech Kryscinski, Kazuma Hashimoto, Yingbo Zhou

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Efficient and Differentiable Conformal Prediction with General Function Classes.

Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong

Proceedings of the Tenth International Conference on Learning Representations, 2022

Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models.

Lifu Tu, Caiming Xiong, Yingbo Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database.

Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering.

Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Modeling Multi-hop Question Answering as Single Sequence Prediction.

Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Nitish Shirish Keskar, Caiming Xiong

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval.

Tong Niu, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Merlion: A Machine Learning Library for Time Series.

Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang

CoRR, 2021

QueryBlazer: Efficient Query Autocompletion Framework.

Young Mo Kang, Wenhao Liu, Yingbo Zhou

Proceedings of the WSDM '21, 2021

Focused Attention Improves Document-Grounded Generation.

Shrimai Prabhumoye, Kazuma Hashimoto, Yingbo Zhou, Alan W. Black, Ruslan Salakhutdinov

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers.

Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Fatema Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong

Proceedings of the 9th International Conference on Learning Representations, 2021

Representation Learning for Sequence Data with Deep Autoencoding Predictive Components.

Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong

Proceedings of the 9th International Conference on Learning Representations, 2021

Testing Cross-Database Semantic Parsers With Canonical Utterances.

Heather Lent, Semih Yavuz, Tao Yu, Tong Niu, Yingbo Zhou, Dragomir Radev, Xi Victoria Lin

Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021

Unsupervised Paraphrasing with Pretrained Language Models.

Tong Niu, Semih Yavuz, Yingbo Zhou, Nitish Shirish Keskar, Huan Wang, Caiming Xiong

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Dense Hierarchical Retrieval for Open-domain Question Answering.

Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos.

Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong

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

2020

Unsupervised Paraphrase Generation via Dynamic Blocking.

Tong Niu, Semih Yavuz, Yingbo Zhou, Huan Wang, Nitish Shirish Keskar, Caiming Xiong

CoRR, 2020

Fast and Robust Unsupervised Contextual Biasing for Speech Recognition.

Young Mo Kang, Yingbo Zhou

CoRR, 2020

Differentially Private Deep Learning with Smooth Sensitivity.

Lichao Sun, Yingbo Zhou, Philip S. Yu, Caiming Xiong

CoRR, 2020

Online Structured Meta-learning.

Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong

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

An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition.

Weiran Wang, Guangsen Wang, Aadyot Bhatnagar, Yingbo Zhou, Caiming Xiong, Richard Socher

Proceedings of the Interspeech 2020, 2020

2019

Spelling Correction as a Foreign Language.

Yingbo Zhou, Utkarsh Porwal, Roberto Konow

Proceedings of the SIGIR 2019 Workshop on eCommerce, 2019

Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting.

Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong

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

Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation.

Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Augmented Cyclic Adversarial Learning for Domain Adaptation.

Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher

CoRR, 2018

A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation.

Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher

Proceedings of the Interspeech 2018, 2018

Improving End-to-End Speech Recognition with Policy Learning.

Yingbo Zhou, Caiming Xiong, Richard Socher

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

End-to-End Dense Video Captioning With Masked Transformer.

Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong

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

2017

Improved Regularization Techniques for End-to-End Speech Recognition.

Yingbo Zhou, Caiming Xiong, Richard Socher

CoRR, 2017

Learning to Generate High Resolution Images with Bilateral Adversarial Networks.

Yingbo Zhou, Ifeoma Nwogu

Proceedings of the International Conference on Advances in Image Processing, 2017

2016

Towards Optimality Conditions for Non-Linear Networks.

Devansh Arpit, Hung Q. Ngo, Yingbo Zhou, Nils Napp, Venu Govindaraju

CoRR, 2016

A sort method to enhance significant spectral components of test set.

Yingbo Zhou, Jishun Kuang

Proceedings of the 12th International Conference on Natural Computation, 2016

Why Regularized Auto-Encoders learn Sparse Representation?

Devansh Arpit, Yingbo Zhou, Hung Q. Ngo, Venu Govindaraju

Proceedings of the 33nd International Conference on Machine Learning, 2016

Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks.

Devansh Arpit, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju

Proceedings of the 33nd International Conference on Machine Learning, 2016

Deep Secure Encoding for Face Template Protection.

Rohit Kumar Pandey, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Challenges in representation learning: A report on three machine learning contests.

Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, Yoshua Bengio

Neural Networks, 2015

Harzard-Based ATPG for Improving Delay Test Quality.

Tieqiao Liu, Yingbo Zhou, Yi Liu, Shuo Cai

J. Electron. Test., 2015

Maximum Entropy Binary Encoding for Face Template Protection.

Rohit Kumar Pandey, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju

CoRR, 2015

Deep Secure Encoding: An Application to Face Recognition.

Rohit Pandey, Yingbo Zhou, Venu Govindaraju

CoRR, 2015

Improve the compression ratios for code-based test vector compressions by decomposing.

Jishun Kuang, Liang Zhang, Zhiqiang You, Yingbo Zhou

Proceedings of the 20th IEEE European Test Symposium, 2015

2014

Learning Deep Autoencoders without Layer-wise Training.

Yingbo Zhou

CoRR, 2014

Shared features for multiple face-based biometrics.

Ifeoma Nwogu, Yingbo Zhou

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Parallel Feature Selection Inspired by Group Testing.

Yingbo Zhou, Utkarsh Porwal, Ce Zhang, Hung Q. Ngo, Long Nguyen, Christopher Ré, Venu Govindaraju

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Labeling Spain With Stanford.

Yingbo Zhou, Ifeoma Nwogu, Venu Govindaraju

IEEE Trans. Image Process., 2013

Challenges in Representation Learning: A Report on Three Machine Learning Contests.

Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Chuang Zhang, Yoshua Bengio

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012

Human Identification Using Finger Images.

Ajay Kumar, Yingbo Zhou

IEEE Trans. Image Process., 2012

Handwritten Arabic text recognition using Deep Belief Networks.

Utkarsh Porwal, Yingbo Zhou, Venu Govindaraju

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Human Identification Using Palm-Vein Images.

Yingbo Zhou, Ajay Kumar

IEEE Trans. Inf. Forensics Secur., 2011

Generating Visual Content from Images via Segmentation.

Yingbo Zhou, Ifeoma Nwogu, Venu Govindaraju

Proceedings of the Advances in Image Analysis and Applications. Proceedings of IWCIA 2011 Special Track on Applications, 2011

An ontology for generating descriptions about natural outdoor scenes.

Ifeoma Nwogu, Yingbo Zhou, Christopher Brown

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Contactless fingerprint identification using level zero features.

Ajay Kumar, Yingbo Zhou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

DISCO: Describing Images Using Scene Contexts and Objects.

Ifeoma Nwogu, Yingbo Zhou, Christopher Brown

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Personal Identification from Iris Images Using Localized Radon Transform.

Yingbo Zhou, Ajay Kumar

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Contactless palm vein identification using multiple representations.

Yingbo Zhou, Ajay Kumar

Proceedings of the Fourth IEEE International Conference on Biometrics: Theory Applications and Systems, 2010