Switchable Representation Learning Framework with Self-compatibility. - Shengsen Wu; Yan Bai; Yihang Lou; Xiongkun Linghu; Jianzhong He; Tao Bai; Ling-Yu Duan (CoRR, 2022)

Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning. - Jinze Li 001; Yan Bai; Yihang Lou; Xiongkun Linghu; Jianzhong He; Shaoyun Xu; Tao Bai (CoRR, 2022)

Bayesian Evidential Learning for Few-Shot Classification. - Xiongkun Linghu; Yan Bai; Yihang Lou; Shengsen Wu; Jinze Li 001; Jianzhong He; Tao Bai (CoRR, 2022)

Switchable Representation Learning Framework with Self-Compatibility. - Shengsen Wu; Yan Bai; Yihang Lou; Xiongkun Linghu; Jianzhong He; Ling-Yu Duan (CVPR, 2023)

An Embodied Generalist Agent in 3D World. - Jiangyong Huang; Silong Yong; Xiaojian Ma 001; Xiongkun Linghu; Puhao Li; Yan Wang 116; Qing Li 003; Song-Chun Zhu; Baoxiong Jia; Siyuan Huang 001 (ICML, 2024)

Multi-modal Situated Reasoning in 3D Scenes. - Xiongkun Linghu; Jiangyong Huang; Xuesong Niu; Xiaojian (Shawn) Ma; Baoxiong Jia; Siyuan Huang 001 (NeurIPS, 2024)

Multi-modal Situated Reasoning in 3D Scenes. - Xiongkun Linghu; Jiangyong Huang; Xuesong Niu; Xiaojian Ma; Baoxiong Jia; Thomas S. Huang (CoRR, 2024)

Unveiling the Mist over 3D Vision-Language Understanding: Object-centric Evaluation with Chain-of-Analysis. - Jiangyong Huang; Baoxiong Jia; Yan Wang 116; Ziyu Zhu; Xiongkun Linghu; Qing Li 003; Song-Chun Zhu; Siyuan Huang 001 (CVPR, 2025)

LEO-VL: Towards 3D Vision-Language Generalists via Data Scaling with Efficient Representation. - Jiangyong Huang; Xiaojian Ma 001; Xiongkun Linghu; Yue Fan; Junchao He; Wenxin Tan; Qing Li 003; Song-Chun Zhu; Yixin Chen 003; Baoxiong Jia; Siyuan Huang 001 (CoRR, 2025)