Neural Program Synthesis By Self-Learning. - Yifan Xu 009; Lu Dai 001; Udaikaran Singh; Kening Zhang; Zhuowen Tu (CoRR, 2019)

Rethinking Exposure Bias In Language Modeling. - Yifan Xu 009; Kening Zhang; Haoyu Dong; Yuezhou Sun; Wenlong Zhao 001; Zhuowen Tu (CoRR, 2019)

Guided Variational Autoencoder for Disentanglement Learning. - Zheng Ding; Yifan Xu 009; Weijian Xu; Gaurav Parmar; Yang Yang 010; Max Welling; Zhuowen Tu (CVPR, 2020)

Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models. - Tyler A. Chang; Yifan Xu 009; Weijian Xu; Zhuowen Tu (ACL/IJCNLP (1), 2021)

Pose Recognition With Cascade Transformers. - Ke Li 012; Shijie Wang; Xiang Zhang 015; Yifan Xu 009; Weijian Xu; Zhuowen Tu (CVPR, 2021)

Line Segment Detection Using Transformers Without Edges. - Yifan Xu 009; Weijian Xu; David Cheung; Zhuowen Tu (CVPR, 2021)

Co-Scale Conv-Attentional Image Transformers. - Weijian Xu; Yifan Xu 009; Tyler A. Chang; Zhuowen Tu (ICCV, 2021)

Attentional Constellation Nets for Few-Shot Learning. - Weijian Xu; Yifan Xu 009; Huaijin Wang 002; Zhuowen Tu (ICLR, 2021)

On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning. - Yifan Xu 009; Nicklas Hansen 001; Zirui Wang; Yung-Chieh Chan; Hao Su 001; Zhuowen Tu (ICLR, 2023)

BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions. - Wenbo Hu 006; Yifan Xu 009; Yi Li; Weiyue Li; Zeyuan Chen; Zhuowen Tu (AAAI, 2024)