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2020 – today
- 2023
[j7]Ran Chen, Hanping Xu, Li Zhou, Jie Cai, Chuanyu Xiong, Yingbo Zhou, Xuefei Zhang
, Qingguo Dong, Can Wang, Nan Yang:
Underfrequency Load Shedding Strategy With an Adaptive Variation Capability for Multi-Microgrids. IEEE Access 11: 17294-17304 (2023)- [j6]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:
Merlion: End-to-End Machine Learning for Time Series. J. Mach. Learn. Res. 24: 226:1-226:6 (2023) - [c45]Rui Meng, Tong Wang, Xingdi Yuan, Yingbo Zhou, Daqing He:
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation. ACL (Findings) 2023: 1602-1618 - [c44]Jiacheng Xu, Caiming Xiong, Silvio Savarese, Yingbo Zhou:
Best-k Search Algorithm for Neural Text Generation. ACL (1) 2023: 12385-12401 - [c43]Bo Pang, Semih Yavuz, Caiming Xiong, Yingbo Zhou:
SharPT: Shared Latent Space Prompt Tuning. EACL (Findings) 2023: 1214-1220 - [c42]Bo Pang, Erik Nijkamp, Wojciech Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong:
Long Document Summarization with Top-down and Bottom-up Inference. EACL (Findings) 2023: 1237-1254 - [c41]Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong:
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. ICLR 2023 - [c40]Yutong Ye, Yingbo Zhou, Jiepin Ding, Ting Wang, Mingsong Chen, Xiang Lian:
InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning. IJCAI 2023: 4949-4958 - [i53]Pengyu Zhang, Yingbo Zhou, Ming Hu, Xin Fu, Xian Wei, Mingsong Chen:
CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning. CoRR abs/2301.12193 (2023) - [i52]Lifu Tu, Jin Qu, Semih Yavuz, Shafiq Joty, Wenhao Liu, Caiming Xiong, Yingbo Zhou:
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning. CoRR abs/2304.01295 (2023) - [i51]Erik Nijkamp, Hiroaki Hayashi, Caiming Xiong, Silvio Savarese, Yingbo Zhou:
CodeGen2: Lessons for Training LLMs on Programming and Natural Languages. CoRR abs/2305.02309 (2023) - [i50]Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou:
Answering Complex Questions over Text by Hybrid Question Parsing and Execution. CoRR abs/2305.07789 (2023) - [i49]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:
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. CoRR abs/2305.11147 (2023) - [i48]Srijan Bansal, Semih Yavuz, Bo Pang, Meghana Bhat, Yingbo Zhou:
Few-shot Unified Question Answering: Tuning Models or Prompts? CoRR abs/2305.14569 (2023) - [i47]Yingbo Zhou, Zhihao Yue, Yutong Ye, Pengyu Zhang, Xian Wei, Mingsong Chen:
EqGAN: Feature Equalization Fusion for Few-shot Image Generation. CoRR abs/2307.14638 (2023) - [i46]Ye Liu, Semih Yavuz, Rui Meng, Meghana Moorthy, Shafiq Joty, Caiming Xiong, Yingbo Zhou:
Exploring the Integration Strategies of Retriever and Large Language Models. CoRR abs/2308.12574 (2023) - [i45]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:
XGen-7B Technical Report. CoRR abs/2309.03450 (2023) - [i44]Meghana Moorthy Bhat, Rui Meng, Ye Liu, Yingbo Zhou, Semih Yavuz:
Investigating Answerability of LLMs for Long-Form Question Answering. CoRR abs/2309.08210 (2023) - [i43]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:
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. CoRR abs/2309.17446 (2023) - [i42]Jun Xia, Zhihao Yue, Yingbo Zhou, Zhiwei Ling, Xian Wei, Mingsong Chen:
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks. CoRR abs/2310.11595 (2023) - [i41]Wenting Zhao, Ye Liu, Tong Niu, Yao Wan, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz:
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text. CoRR abs/2310.20170 (2023) - 2022
- [c39]Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Nitish Shirish Keskar, Caiming Xiong:
Modeling Multi-hop Question Answering as Single Sequence Prediction. ACL (1) 2022: 974-990 - [c38]Tong Niu, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong:
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval. ACL (Findings) 2022: 2869-2882 - [c37]Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong:
RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering. ACL (1) 2022: 6032-6043 - [c36]Lifu Tu, Caiming Xiong, Yingbo Zhou:
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models. EMNLP (Findings) 2022: 5478-5485 - [c35]Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou:
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. EMNLP 2022: 8858-8869 - [c34]Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong:
Efficient and Differentiable Conformal Prediction with General Function Classes. ICLR 2022 - [c33]Haopeng Zhang, Semih Yavuz, Wojciech Kryscinski, Kazuma Hashimoto, Yingbo Zhou:
Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control. NAACL-HLT (Findings) 2022: 528-535 - [c32]Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong:
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization. NeurIPS 2022 - [i40]Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong:
Efficient and Differentiable Conformal Prediction with General Function Classes. CoRR abs/2202.11091 (2022) - [i39]Man Luo, Kazuma Hashimoto, Semih Yavuz, Zhiwei Liu, Chitta Baral, Yingbo Zhou:
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering. CoRR abs/2203.07522 (2022) - [i38]Bo Pang, Erik Nijkamp, Wojciech Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong:
Long Document Summarization with Top-down and Bottom-up Inference. CoRR abs/2203.07586 (2022) - [i37]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:
Converse: A Tree-Based Modular Task-Oriented Dialogue System. CoRR abs/2203.12187 (2022) - [i36]Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong:
A Conversational Paradigm for Program Synthesis. CoRR abs/2203.13474 (2022) - [i35]Tong Niu, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong:
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval. CoRR abs/2205.08605 (2022) - [i34]Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Nitish Shirish Keskar, Caiming Xiong:
Modeling Multi-hop Question Answering as Single Sequence Prediction. CoRR abs/2205.09226 (2022) - [i33]Haopeng Zhang, Semih Yavuz, Wojciech Kryscinski, Kazuma Hashimoto, Yingbo Zhou:
Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control. CoRR abs/2207.02263 (2022) - [i32]Paul Kassianik, Erik Nijkamp, Bo Pang, Yingbo Zhou, Caiming Xiong:
BigIssue: A Realistic Bug Localization Benchmark. CoRR abs/2207.10739 (2022) - [i31]Rui Meng, Tong Wang, Xingdi Yuan, Yingbo Zhou, Daqing He:
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation. CoRR abs/2208.09606 (2022) - [i30]Lifu Tu, Caiming Xiong, Yingbo Zhou:
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models. CoRR abs/2210.12360 (2022) - [i29]Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou:
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. CoRR abs/2211.05165 (2022) - [i28]Jiacheng Xu, Caiming Xiong, Silvio Savarese, Yingbo Zhou:
Best-k Search Algorithm for Neural Text Generation. CoRR abs/2211.11924 (2022) - [i27]Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal, Lifu Tu, Ning Yu, Jianguo Zhang, Meghana Bhat, Yingbo Zhou:
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation. CoRR abs/2212.08841 (2022) - 2021
- [c31]Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong:
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. CVPR 2021: 1915-1923 - [c30]Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu:
Dense Hierarchical Retrieval for Open-domain Question Answering. EMNLP (Findings) 2021: 188-200 - [c29]Tong Niu, Semih Yavuz, Yingbo Zhou, Nitish Shirish Keskar, Huan Wang, Caiming Xiong:
Unsupervised Paraphrasing with Pretrained Language Models. EMNLP (1) 2021: 5136-5150 - [c28]Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong:
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. ICLR 2021 - [c27]Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Fatema Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong:
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers. ICLR 2021 - [c26]Shrimai Prabhumoye, Kazuma Hashimoto, Yingbo Zhou, Alan W. Black, Ruslan Salakhutdinov:
Focused Attention Improves Document-Grounded Generation. NAACL-HLT 2021: 4274-4287 - [c25]Young Mo Kang, Wenhao Liu, Yingbo Zhou:
QueryBlazer: Efficient Query Autocompletion Framework. WSDM 2021: 1020-1028 - [i26]Shrimai Prabhumoye, Kazuma Hashimoto, Yingbo Zhou, Alan W. Black, Ruslan Salakhutdinov:
Focused Attention Improves Document-Grounded Generation. CoRR abs/2104.12714 (2021) - [i25]Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong:
RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering. CoRR abs/2109.08678 (2021) - [i24]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:
Merlion: A Machine Learning Library for Time Series. CoRR abs/2109.09265 (2021) - [i23]Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong:
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization. CoRR abs/2110.10832 (2021) - [i22]Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu:
Dense Hierarchical Retrieval for Open-Domain Question Answering. CoRR abs/2110.15439 (2021) - 2020
- [c24]Weiran Wang, Guangsen Wang, Aadyot Bhatnagar, Yingbo Zhou, Caiming Xiong, Richard Socher:
An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition. INTERSPEECH 2020: 1778-1782 - [c23]Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong:
Online Structured Meta-learning. NeurIPS 2020 - [i21]Lichao Sun, Yingbo Zhou, Philip S. Yu, Caiming Xiong:
Differentially Private Deep Learning with Smooth Sensitivity. CoRR abs/2003.00505 (2020) - [i20]Young Mo Kang, Yingbo Zhou:
Fast and Robust Unsupervised Contextual Biasing for Speech Recognition. CoRR abs/2005.01677 (2020) - [i19]Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong:
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. CoRR abs/2006.03732 (2020) - [i18]Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong:
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. CoRR abs/2010.03135 (2020) - [i17]Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong:
Online Structured Meta-learning. CoRR abs/2010.11545 (2020) - [i16]Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Fatema Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong:
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers. CoRR abs/2010.12850 (2020) - [i15]Tong Niu, Semih Yavuz, Yingbo Zhou, Huan Wang, Nitish Shirish Keskar, Caiming Xiong:
Unsupervised Paraphrase Generation via Dynamic Blocking. CoRR abs/2010.12885 (2020)
2010 – 2019
- 2019
- [c22]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation. ICLR (Poster) 2019 - [c21]Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong:
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. ICML 2019: 3925-3934 - [c20]Yingbo Zhou, Utkarsh Porwal, Roberto Konow:
Spelling Correction as a Foreign Language. eCOM@SIGIR 2019 - [i14]Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong:
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. CoRR abs/1904.00310 (2019) - 2018
- [c19]Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong:
End-to-End Dense Video Captioning With Masked Transformer. CVPR 2018: 8739-8748 - [c18]Yingbo Zhou, Caiming Xiong, Richard Socher:
Improving End-to-End Speech Recognition with Policy Learning. ICASSP 2018: 5819-5823 - [c17]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation. INTERSPEECH 2018: 3758-3762 - [i13]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation. CoRR abs/1804.00522 (2018) - [i12]Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong:
End-to-End Dense Video Captioning with Masked Transformer. CoRR abs/1804.00819 (2018) - [i11]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
Augmented Cyclic Adversarial Learning for Domain Adaptation. CoRR abs/1807.00374 (2018) - 2017
- [c16]Yingbo Zhou, Ifeoma Nwogu:
Learning to Generate High Resolution Images with Bilateral Adversarial Networks. ICAIP 2017: 113-117 - [i10]Yingbo Zhou, Utkarsh Porwal, Roberto Konow:
Spelling Correction as a Foreign Language. CoRR abs/1705.07371 (2017) - [i9]Yingbo Zhou, Caiming Xiong, Richard Socher:
Improving End-to-End Speech Recognition with Policy Learning. CoRR abs/1712.07101 (2017) - [i8]Yingbo Zhou, Caiming Xiong, Richard Socher:
Improved Regularization Techniques for End-to-End Speech Recognition. CoRR abs/1712.07108 (2017) - 2016
- [c15]Rohit Kumar Pandey, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju:
Deep Secure Encoding for Face Template Protection. CVPR Workshops 2016: 77-83 - [c14]Devansh Arpit, Yingbo Zhou, Hung Q. Ngo, Venu Govindaraju:
Why Regularized Auto-Encoders learn Sparse Representation? ICML 2016: 136-144 - [c13]Devansh Arpit, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju:
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks. ICML 2016: 1168-1176 - [c12]Yingbo Zhou, Jishun Kuang:
A sort method to enhance significant spectral components of test set. ICNC-FSKD 2016: 2147-2151 - [i7]Devansh Arpit, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju:
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks. CoRR abs/1603.01431 (2016) - [i6]Devansh Arpit, Hung Q. Ngo, Yingbo Zhou, Nils Napp, Venu Govindaraju:
Towards Optimality Conditions for Non-Linear Networks. CoRR abs/1605.07145 (2016) - 2015
- [j5]Tieqiao Liu, Yingbo Zhou, Yi Liu, Shuo Cai:
Harzard-Based ATPG for Improving Delay Test Quality. J. Electron. Test. 31(1): 27-34 (2015) - [j4]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:
Challenges in representation learning: A report on three machine learning contests. Neural Networks 64: 59-63 (2015) - [c11]Jishun Kuang, Liang Zhang, Zhiqiang You, Yingbo Zhou:
Improve the compression ratios for code-based test vector compressions by decomposing. ETS 2015: 1-6 - [i5]Devansh Arpit, Yingbo Zhou, Hung Q. Ngo, Venu Govindaraju:
Why Regularized Auto-Encoders learn Sparse Representation? CoRR abs/1505.05561 (2015) - [i4]Rohit Pandey, Yingbo Zhou, Venu Govindaraju:
Deep Secure Encoding: An Application to Face Recognition. CoRR abs/1506.04340 (2015) - [i3]Rohit Kumar Pandey, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju:
Maximum Entropy Binary Encoding for Face Template Protection. CoRR abs/1512.01691 (2015) - 2014
- [c10]Yingbo Zhou, Utkarsh Porwal, Ce Zhang, Hung Q. Ngo, Long Nguyen, Christopher Ré, Venu Govindaraju:
Parallel Feature Selection Inspired by Group Testing. NIPS 2014: 3554-3562 - [c9]Ifeoma Nwogu, Yingbo Zhou:
Shared features for multiple face-based biometrics. SMC 2014: 417-422 - [i2]Yingbo Zhou:
Learning Deep Autoencoders without Layer-wise Training. CoRR abs/1405.1380 (2014) - 2013
- [j3]Yingbo Zhou, Ifeoma Nwogu, Venu Govindaraju:
Labeling Spain With Stanford. IEEE Trans. Image Process. 22(12): 5362-5371 (2013) - [c8]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:
Challenges in Representation Learning: A Report on Three Machine Learning Contests. ICONIP (3) 2013: 117-124 - [i1]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:
Challenges in Representation Learning: A report on three machine learning contests. CoRR abs/1307.0414 (2013) - 2012
- [j2]Ajay Kumar, Yingbo Zhou:
Human Identification Using Finger Images. IEEE Trans. Image Process. 21(4): 2228-2244 (2012) - [c7]Utkarsh Porwal, Yingbo Zhou, Venu Govindaraju:
Handwritten Arabic text recognition using Deep Belief Networks. ICPR 2012: 302-305 - 2011
- [j1]Yingbo Zhou, Ajay Kumar:
Human Identification Using Palm-Vein Images. IEEE Trans. Inf. Forensics Secur. 6(4): 1259-1274 (2011) - [c6]Ifeoma Nwogu, Yingbo Zhou, Christopher Brown:
DISCO: Describing Images Using Scene Contexts and Objects. AAAI 2011: 1487-1493 - [c5]Ajay Kumar, Yingbo Zhou:
Contactless fingerprint identification using level zero features. CVPR Workshops 2011: 114-119 - [c4]Ifeoma Nwogu, Yingbo Zhou, Christopher Brown:
An ontology for generating descriptions about natural outdoor scenes. ICCV Workshops 2011: 656-663 - [c3]Yingbo Zhou, Ifeoma Nwogu, Venu Govindaraju:
Generating Visual Content from Images via Segmentation. IWCIA Special Track on Applications 2011: 73-84 - 2010
- [c2]Yingbo Zhou, Ajay Kumar:
Contactless palm vein identification using multiple representations. BTAS 2010: 1-6 - [c1]Yingbo Zhou, Ajay Kumar:
Personal Identification from Iris Images Using Localized Radon Transform. ICPR 2010: 2840-2843
Coauthor Index