Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features. - Miao Fan; Yeqi Bai; Mingming Sun 001; Ping Li 001 (CIKM, 2019)

PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph. - Yikang Li 002; Tao Ma 002; Yeqi Bai; Nan Duan; Sining Wei; Xiaogang Wang 001 (NeurIPS, 2019)

Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans. - Justin Ker; Satya Prakash Singh; Yeqi Bai; Jai Rao; Tchoyoson C. C. Lim; Lipo Wang (Sensors, 2019)

Speech Fusion to Face: Bridging the Gap Between Human's Vocal Characteristics and Facial Imaging. - Yeqi Bai; Tao Ma 002; Lipo Wang; Zhenjie Zhang (ACM Multimedia, 2022)

UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase. - Youquan Liu; Runnan Chen; Xin Li 110; Lingdong Kong; Yuchen Yang 003; Zhaoyang Xia; Yeqi Bai; Xinge Zhu; Yuexin Ma; Yikang Li 002; Yu Qiao 001; Yuenan Hou (ICCV, 2023)

RangePerception: Taming LiDAR Range View for Efficient and Accurate 3D Object Detection. - Yeqi Bai; Ben Fei; Youquan Liu; Tao Ma; Yuenan Hou; Botian Shi; Yikang Li (NeurIPS, 2023)

StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views. - Jianfei Guo; Nianchen Deng; Xinyang Li; Yeqi Bai; Botian Shi; Chiyu Wang; Chenjing Ding; Dongliang Wang; Yikang Li (CoRR, 2023)

On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving. - Licheng Wen; Xuemeng Yang; Daocheng Fu; Xiaofeng Wang; Pinlong Cai; Xin Li 110; Tao Ma 002; Yingxuan Li; Linran Xu; Dengke Shang; Zheng Zhu; Shaoyan Sun; et al. (CoRR, 2023)

Towards Knowledge-driven Autonomous Driving. - Xin Li 110; Yeqi Bai; Pinlong Cai; Licheng Wen; Daocheng Fu; Bo Zhang 069; Xuemeng Yang; Xinyu Cai; Tao Ma 002; Jianfei Guo; Xing Gao 005; Min Dou; et al. (CoRR, 2023)

OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving. - Guohang Yan; Jiahao Pi; Jianfei Guo; Zhaotong Luo; Min Dou; Nianchen Deng; Qiusheng Huang; Daocheng Fu; Licheng Wen; Pinlong Cai; Xing Gao 005; Xinyu Cai; et al. (CoRR, 2024)

NatureLM: Deciphering the Language of Nature for Scientific Discovery. - Yingce Xia; Peiran Jin; Shufang Xie 003; Liang He 010; Chuan Cao; Renqian Luo; Guoqing Liu; Yue Wang 017; Zequn Liu; Yuan-Jyue Chen; Zekun Guo; Yeqi Bai; et al. (CoRR, 2025)