Learnable Embedding Space for Efficient Neural Architecture Compression. - Shengcao Cao; Xiaofang Wang; Kris M. Kitani (ICLR (Poster), 2019)

Neighborhood-Aware Neural Architecture Search. - Xiaofang Wang; Shengcao Cao; Mengtian Li; Kris Kitani (BMVC, 2021)

Rethinking Transformer-based Set Prediction for Object Detection. - Zhiqing Sun; Shengcao Cao; Yiming Yang; Kris Kitani (ICCV, 2021)

Efficient Model Performance Estimation via Feature Histories. - Shengcao Cao; Xiaofang Wang; Kris Kitani (CoRR, 2021)

Contrastive Mean Teacher for Domain Adaptive Object Detectors. - Shengcao Cao; Dhiraj Joshi; Liang-Yan Gui; Yu-Xiong Wang (CVPR, 2023)

Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. - Shengcao Cao; Mengtian Li; James Hays; Deva Ramanan; Yu-Xiong Wang; Liangyan Gui (ICML, 2023)

HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. - Shengcao Cao; Dhiraj Joshi; Liangyan Gui; Yu-Xiong Wang (NeurIPS, 2023)

Aligning Large Multimodal Models with Factually Augmented RLHF. - Zhiqing Sun; Sheng Shen 001; Shengcao Cao; Haotian Liu; Chunyuan Li; Yikang Shen; Chuang Gan 001; Liangyan Gui; Yu-Xiong Wang; Yiming Yang; Kurt Keutzer; Trevor Darrell (ACL (Findings), 2024)

TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding. - Zhihao Zhang; Shengcao Cao; Yu-Xiong Wang (CVPR, 2024)

SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. - Shengcao Cao; Jiuxiang Gu; Jason Kuen; Hao Tan 002; Ruiyi Zhang 002; Handong Zhao; Ani Nenkova; Liangyan Gui; Tong Sun 005; Yu-Xiong Wang (ICLR, 2024)

Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision. - Shengcao Cao; Liang-Yan Gui; Yu-Xiong Wang (CoRR, 2024)

Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning. - Yuxiang Lu; Shengcao Cao; Yu-Xiong Wang (ICLR, 2025)

Refer to Anything with Vision-Language Prompts. - Shengcao Cao; Zijun Wei; Jason Kuen; Kangning Liu; Lingzhi Zhang; Jiuxiang Gu; Hyunjoon Jung; Liang-Yan Gui; Yu-Xiong Wang (CoRR, 2025)