Revisiting the Evaluation of Diversified Search Evaluation Metrics with User Preferences. - Fei Chen; Yiqun Liu 001; Zhicheng Dou; Keyang Xu; Yujie Cao; Min Zhang 006; Shaoping Ma (AIRS, 2014)

THUSAM at NTCIR-11 IMine Task. - Cheng Luo 001; Xin Li 016; Alisher Khodzhaev; Fei Chen; Keyang Xu; Yujie Cao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (NTCIR, 2014)

Analyzing Multiple Medical Corpora Using Word Embedding. - Jian Huang; Keyang Xu; V. G. Vinod Vydiswaran (ICHI, 2016)

CMUQA in QALab-3: Essay Question Answering for University Entrance Exams. - Fadi Botros; Francesco Ciannella; Takaaki Matsumoto; Evan Chan; Cheng-Ta Chung; Lucas Bengtson; Keyang Xu; Tian Tian; Teruko Mitamura (NTCIR, 2017)

De-duping URLs with Sequence-to-Sequence Neural Networks. - Keyang Xu; Zhengzhong Liu 001; Jamie Callan (SIGIR, 2017)

Dynamic Shard Cutoff Prediction for Selective Search. - Hafeezul Rahman Mohammad; Keyang Xu; Jamie Callan; J. Shane Culpepper (SIGIR, 2018)

A Structure-Oriented Unsupervised Crawling Strategy for Social Media Sites. - Keyang Xu; Kyle Yingkai Gao; Jamie Callan (CoRR, 2018)

Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records. - Xiangan Liu; Keyang Xu; Pengtao Xie; Eric P. Xing (CoRR, 2018)

Multimodal Machine Learning for Automated ICD Coding. - Keyang Xu; Mike Lam; Jingzhi Pang; Xin Gao 001; Charlotte Band; Piyush Mathur; Frank Papay; Ashish K. Khanna; Jacek B. Cywinski; Kamal Maheshwari; Pengtao Xie; Eric P. Xing (MLHC, 2019)

A Heterogeneous Graphical Model to Understand User-Level Sentiments in Social Media. - Rahul Radhakrishnan Iyer; Jing Chen; Haonan Sun; Keyang Xu (CoRR, 2019)

Unsupervised Out-of-Domain Detection via Pre-trained Transformers. - Keyang Xu; Tongzheng Ren; Shikun Zhang; Yihao Feng; Caiming Xiong (ACL/IJCNLP (1), 2021)

Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond. - Zhecan Wang; Long Chen 016; Haoxuan You; Keyang Xu; Yicheng He; Wenhao Li; Noel Codella; Kai-Wei Chang; Shih-Fu Chang (EMNLP (Findings), 2023)

Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution. - Xin Yuan; Jinoo Baek; Keyang Xu; Omer Tov; Hongliang Fei (WACV (Workshops), 2024)

Imagen 3. - 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; et al. (CoRR, 2024)

Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models. - Cristina Nader Vasconcelos; Abdullah Rashwan; Austin Waters; Trevor Walker; Keyang Xu; Jimmy Yan; Rui Qian; Yeqing Li; Shixin Luo; Yasumasa Onoe; Zarana Parekh; Ivana Kajic; et al. (Trans. Mach. Learn. Res., 2024)

AMO Sampler: Enhancing Text Rendering with Overshooting. - Xixi Hu 001; Keyang Xu; Bo Liu 042; Qiang Liu 001; Hongliang Fei (CVPR, 2025)

Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. - Ruohong Zhang; Liangke Gui; Zhiqing Sun; Yihao Feng; Keyang Xu; Yuanhan Zhang; Di Fu; Chunyuan Li; Alexander G. Hauptmann; Yonatan Bisk; Yiming Yang (NAACL (Long Papers), 2025)

Improving Rectified Flow with Boundary Conditions. - Xixi Hu 001; Runlong Liao; Keyang Xu; Bo Liu 042; Yeqing Li; Eugene Ie; Hongliang Fei; Qiang Liu 001 (CoRR, 2025)