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2020 – today
- 2024
[c10]Xin Yuan, Jinoo Baek, Keyang Xu, Omer Tov, Hongliang Fei:
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution. WACV (Workshops) 2024: 489-496- [i10]Xin Yuan, Jinoo Baek, Keyang Xu, Omer Tov, Hongliang Fei:
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution. CoRR abs/2401.10404 (2024) - [i9]Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander Hauptmann, Yonatan Bisk, Yiming Yang:
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. CoRR abs/2404.01258 (2024) - [i8]Cristina Nader Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor Walker, Keyang Xu, Jimmy Yan, Rui Qian, Shixin Luo, Zarana Parekh, Andrew Bunner, Hongliang Fei, Roopal Garg, Mandy Guo, Ivana Kajic, Yeqing Li, Henna Nandwani, Jordi Pont-Tuset, Yasumasa Onoe, Sarah Rosston, Su Wang, Wenlei Zhou, Kevin Swersky, David J. Fleet, Jason M. Baldridge, Oliver Wang:
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models. CoRR abs/2405.16759 (2024) - [i7]Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Kelvin Chan, Yichang Chen, Sander Dieleman, Yuqing Du, Zach Eaton-Rosen, Hongliang Fei, Nando de Freitas, Yilin Gao, Evgeny Gladchenko, Sergio Gómez Colmenarejo, Mandy Guo, Alex Haig, Will Hawkins, Hexiang Hu, Huilian Huang, Tobenna Peter Igwe, Christos Kaplanis, Siavash Khodadadeh, Yelin Kim, Ksenia Konyushkova, Karol Langner, Eric Lau, Shixin Luo, Sona Mokrá, Henna Nandwani, Yasumasa Onoe, Aäron van den Oord, Zarana Parekh, Jordi Pont-Tuset, Hang Qi, Rui Qian, Deepak Ramachandran, Poorva Rane, Abdullah Rashwan, Ali Razavi, Robert Riachi, Hansa Srinivasan, Srivatsan Srinivasan, Robin Strudel, Benigno Uria, Oliver Wang, Su Wang, Austin Waters, Chris Wolff, Auriel Wright, Zhisheng Xiao, Hao Xiong, Keyang Xu, Marc van Zee, Junlin Zhang, Katie Zhang, Wenlei Zhou, Konrad Zolna, Ola Aboubakar, Canfer Akbulut, Oscar Akerlund, Isabela Albuquerque, Nina Anderson, Marco Andreetto, Lora Aroyo, Ben Bariach, David Barker, Sherry Ben, Dana Berman, Courtney Biles, Irina Blok, Pankil Botadra, Jenny Brennan, Karla Brown, John Buckley, Rudy Bunel, Elie Bursztein, Christina Butterfield, Ben Caine, Viral Carpenter, Norman Casagrande, Ming-Wei Chang, Solomon Chang, Shamik Chaudhuri, Tony Chen, John Choi, Dmitry Churbanau, Nathan Clement, Matan Cohen, Forrester Cole, Mikhail Dektiarev, Vincent Du, Praneet Dutta, Tom Eccles, Ndidi Elue, Ashley Feden, Shlomi Fruchter, Frankie Garcia, Roopal Garg:
Imagen 3. CoRR abs/2408.07009 (2024) - 2023
- [c9]Zhecan Wang, Long Chen
, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang:
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond. EMNLP (Findings) 2023: 8598-8617 - [i6]Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang:
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond. CoRR abs/2310.14670 (2023) - 2021
- [c8]Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong:
Unsupervised Out-of-Domain Detection via Pre-trained Transformers. ACL/IJCNLP (1) 2021: 1052-1061 - [i5]Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong:
Unsupervised Out-of-Domain Detection via Pre-trained Transformers. CoRR abs/2106.00948 (2021)
2010 – 2019
- 2019
- [c7]Keyang Xu, Mike Lam, Jingzhi Pang, Xin Gao, Charlotte Band, Piyush Mathur, Frank Papay, Ashish K. Khanna, Jacek B. Cywinski, Kamal Maheshwari, Pengtao Xie, Eric P. Xing:
Multimodal Machine Learning for Automated ICD Coding. MLHC 2019: 197-215 - [i4]Rahul Radhakrishnan Iyer, Jing Chen, Haonan Sun, Keyang Xu:
A Heterogeneous Graphical Model to Understand User-Level Sentiments in Social Media. CoRR abs/1912.07911 (2019) - 2018
- [c6]Hafeezul Rahman Mohammad, Keyang Xu, Jamie Callan, J. Shane Culpepper:
Dynamic Shard Cutoff Prediction for Selective Search. SIGIR 2018: 85-94 - [i3]Keyang Xu, Kyle Yingkai Gao, Jamie Callan:
A Structure-Oriented Unsupervised Crawling Strategy for Social Media Sites. CoRR abs/1804.02734 (2018) - [i2]Keyang Xu, Mike Lam, Jingzhi Pang, Xin Gao, Charlotte Band, Piyush Mathur, Frank Papay, Ashish K. Khanna, Jacek B. Cywinski, Kamal Maheshwari, Pengtao Xie, Eric P. Xing:
Multimodal Machine Learning for Automated ICD Coding. CoRR abs/1810.13348 (2018) - [i1]Xiangan Liu, Keyang Xu, Pengtao Xie, Eric P. Xing:
Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records. CoRR abs/1811.08040 (2018) - 2017
- [c5]Fadi Botros, Francesco Ciannella, Takaaki Matsumoto, Evan Chan, Cheng-Ta Chung, Lucas Bengtson, Keyang Xu, Tian Tian, Teruko Mitamura:
CMUQA in QALab-3: Essay Question Answering for University Entrance Exams. NTCIR 2017 - [c4]Keyang Xu, Zhengzhong Liu, Jamie Callan:
De-duping URLs with Sequence-to-Sequence Neural Networks. SIGIR 2017: 1157-1160 - 2016
- [c3]Jian Huang, Keyang Xu, V. G. Vinod Vydiswaran:
Analyzing Multiple Medical Corpora Using Word Embedding. ICHI 2016: 527-533 - 2014
- [c2]Fei Chen, Yiqun Liu, Zhicheng Dou, Keyang Xu, Yujie Cao, Min Zhang, Shaoping Ma:
Revisiting the Evaluation of Diversified Search Evaluation Metrics with User Preferences. AIRS 2014: 48-59 - [c1]Cheng Luo, Xin Li, Alisher Khodzhaev, Fei Chen, Keyang Xu, Yujie Cao, Yiqun Liu, Min Zhang, Shaoping Ma:
THUSAM at NTCIR-11 IMine Task. NTCIR 2014
Coauthor Index
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