Targeting EEG/LFP Synchrony with Neural Nets. - Yitong Li 001; Michael Murias; Samantha Major; Geraldine Dawson; Kafui Dzirasa; Lawrence Carin; David E. Carlson (NIPS, 2017)

Adaptive Convolutional Filter Generation for Natural Language Understanding. - Dinghan Shen; Martin Renqiang Min; Yitong Li 001; Lawrence Carin (CoRR, 2017)

Video Generation From Text. - Yitong Li 001; Martin Renqiang Min; Dinghan Shen; David E. Carlson; Lawrence Carin (AAAI, 2018)

Learning Context-Aware Convolutional Filters for Text Processing. - Dinghan Shen; Martin Renqiang Min; Yitong Li 001; Lawrence Carin (EMNLP, 2018)

Multi-Label Learning from Medical Plain Text with Convolutional Residual Models. - Xinyuan Zhang 001; Ricardo Henao; Zhe Gan; Yitong Li 001; Lawrence Carin (MLHC, 2018)

Extracting Relationships by Multi-Domain Matching. - Yitong Li 001; Michael Murias; Geraldine Dawson; David E. Carlson (NeurIPS, 2018)

Diffusion Maps for Textual Network Embedding. - Xinyuan Zhang 001; Yitong Li 001; Dinghan Shen; Lawrence Carin (NeurIPS, 2018)

Sequential Attention GAN for Interactive Image Editing via Dialogue. - Yu Cheng 001; Zhe Gan; Yitong Li 001; Jingjing Liu 001; Jianfeng Gao 001 (CoRR, 2018)

On Target Shift in Adversarial Domain Adaptation. - Yitong Li 001; Michael Murias; Samantha Major; Geraldine Dawson; David E. Carlson (AISTATS, 2019)

StoryGAN: A Sequential Conditional GAN for Story Visualization. - Yitong Li 001; Zhe Gan; Yelong Shen; Jingjing Liu 001; Yu Cheng 001; Yuexin Wu; Lawrence Carin; David E. Carlson; Jianfeng Gao 001 (CVPR, 2019)

Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. - Kevin J. Liang; Guoyin Wang 002; Yitong Li 001; Ricardo Henao; Lawrence Carin (NeurIPS, 2019)

LMVP: Video Predictor with Leaked Motion Information. - Dong Wang 037; Yitong Li 001; Wei Cao 007; Liqun Chen 001; Qi Wei; Lawrence Carin (CoRR, 2019)

Gaussian-Process-Based Dynamic Embedding for Textual Networks. - Pengyu Cheng; Yitong Li 001; Xinyuan Zhang 001; Liqun Cheng; David E. Carlson; Lawrence Carin (CoRR, 2019)

Dynamic Embedding on Textual Networks via a Gaussian Process. - Pengyu Cheng; Yitong Li 001; Xinyuan Zhang 001; Liqun Chen 001; David E. Carlson; Lawrence Carin (AAAI, 2020)

Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. - Pengyu Cheng; Martin Renqiang Min; Dinghan Shen; Christopher Malon; Yizhe Zhang 002; Yitong Li 001; Lawrence Carin (ACL, 2020)

Sequential Attention GAN for Interactive Image Editing. - Yu Cheng 001; Zhe Gan; Yitong Li 001; Jingjing Liu 001; Jianfeng Gao 001 (ACM Multimedia, 2020)

Learning to Transfer Knowledge from Multiple Sources of Electrophysiological Signals. - Yitong Li 001 (2020)

Estimating Uncertainty Intervals from Collaborating Networks. - Tianhui Zhou; Yitong Li 001; Yuan Wu; David E. Carlson (J. Mach. Learn. Res., 2021)

Learning to Weight Filter Groups for Robust Classification. - Siyang Yuan; Yitong Li 001; Dong Wang 037; Ke Bai 001; Lawrence Carin; David E. Carlson (WACV, 2022)