Yishu Miao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
16
Active years
2012–2022
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | CVPR | Kubric: A scalable dataset generator. | Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz ztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi |
| 2022 | IJCAI | Logically Consistent Adversarial Attacks for Soft Theorem Provers. | Alexander Gaskell, Yishu Miao, Francesca Toni, Lucia Specia |
| 2022 | IJCNLP | Contrastive Video-Language Learning with Fine-grained Frame Sampling. | Zixu Wang, Yujie Zhong, Yishu Miao, Lin Ma, Lucia Specia |
| 2022 | NAACL | Guiding Visual Question Generation. | Nihir Vedd, Zixu Wang, Marek Rei, Yishu Miao, Lucia Specia |
| 2021 | ACL | Discovering Topics in Long-tailed Corpora with Causal Intervention. | Xiaobao Wu, Chunping Li, Yishu Miao |
| 2021 | BMVC | Cross-Modal Generative Augmentation for Visual Question Answering. | Zixu Wang, Yishu Miao, Lucia Specia |
| 2021 | EACL | Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. | Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia |
| 2021 | EMNLP | A Generative Framework for Simultaneous Machine Translation. | Yishu Miao, Phil Blunsom, Lucia Specia |
| 2020 | EMNLP | Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder. | Xiaobao Wu, Chunping Li, Yan Zhu, Yishu Miao |
| 2020 | ICASSP | Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. | Zhenghua Xu, Di Yuan, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Guizhi Xu |
| 2019 | AAAI | MotionTransformer: Transferring Neural Inertial Tracking between Domains. | Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni |
| 2019 | CVPR | Selective Sensor Fusion for Neural Visual-Inertial Odometry. | Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni |
| 2019 | ICCV | TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts. | Ziyang Hong, Yvan R. Petillot, David Lane, Yishu Miao, Sen Wang |
| 2018 | ICLR | Memory Architectures in Recurrent Neural Network Language Models. | Dani Yogatama, Yishu Miao, Gbor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer, Phil Blunsom |
| 2017 | ICML | Discovering Discrete Latent Topics with Neural Variational Inference. | Yishu Miao, Edward Grefenstette, Phil Blunsom |
| 2017 | ICML | Latent Intention Dialogue Models. | Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, Steve J. Young |
| 2017 | IJCAI | Tag-Aware Personalized Recommendation Using a Hybrid Deep Model. | Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng |
| 2016 | CIKM | Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling. | Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao, Xiangwu Meng |
| 2016 | EMNLP | Language as a Latent Variable: Discrete Generative Models for Sentence Compression. | Yishu Miao, Phil Blunsom |
| 2016 | ICML | Neural Variational Inference for Text Processing. | Yishu Miao, Lei Yu, Phil Blunsom |
| 2013 | ICMLC | Context-aware reasoning middle ware applied in the mobile environment. | Jian Wu, Chunping Li, Yishu Miao, Shaoxu Song, Li Li, Qiang Ding |
| 2012 | IC3K | Infinite Topic Modelling for Trend Tracking - Hierarchical Dirichlet Process Approaches with Wikipedia Semantic based Method. | Yishu Miao, Chunping Li, Hui Wang, Lu Zhang |