Welcome to IIP Lab.
About Us
Intelligent Information Processing (IIP) Lab.
The Intelligent Information Processing (IIP) Lab. is part of the National Key Laboratory of Space-Ground Integrated Information Technology, at Xidian University. Founded in 2014, it has a young and energetic research team, directed by Professor Nannan Wang , and now has 10 academic staffs. The research direction of the lab is in the frontier areas related to artificial intelligence, such as Credible Artificial Intelligence, Artificial Intelligence Generated Content (AIGC), and Embodied Intelligence.
Members of the team have led or participated in many research projects including the National Natural Science Foundation of China, National Science and Technology Support Program, National Natural Science Foundation of China Major Research Program, etc., and published more than 200 papers on top journals, e.g. IEEE TPAMI, TNNLS, TIP, TMM, TC, IJCV, and top conferences, e.g. ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, IJCAI, AAAI.
200
Top/CCF-A
Publications
40
Phd/Master
Students
Recent News
Recent News 2026
- [ICML 2026] Xinpeng Ding, et al. (2026)
- [CVPR 2026 x2] Xinpeng Ding, et al. (1 Award Candidate) (2026)
- [ICLR 2026 x2] Xinpeng Ding, et al. (2026)
- [AAAI 2026] Xinpeng Ding, et al. (2025.11)
- [ICCV 2025 Oral] Xinpeng Ding, et al. Token Activation Map to Visually Explain Multimodal LLMs (2025)
- [CVPR 2025] Xinpeng Ding, et al. Hires-llava: Restoring fragmentation input in high-resolution large vision-language models (2025)
- [IJCV 2025] Xinpeng Ding, et al. HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving (2025)
- [AAAI 2025 x6] Kun Cheng, Nuoyan Zhou, Jiahua Xu, Fei Gao, Decheng Liu, and De Cheng. (2024.12)
- [NeurIPS x4] De Cheng, et al. (2024)
- [ACM MM x3] Yubo Li, Ruiyang Hu, Fei Gao, et al. 2 Posters + 1 Oral (2024)
- [AAAI x4] Xiaoqi An et al., Yan Gao et al., Decheng Liu et al., Xingyilang Yin et al. AAAI 2024
- [CVPR x2] Fei Gao et al., De Cheng et al. CVPR 2024
- [ICLR x2] Chaohua Shi, Yonggang Zhang, et al. Federated Models with Extremely Label Deficiency. ICLR 2024
- [ICML x1] Yusong Hu et al. ICML 2024
- [ICRA x1] Fei Gao et al. HRICA. ICRA 2024
- [SIGIR x1] Quanxing Zha, et al. UGNCL, SIGIR 2024
- [IEEE TCSVT x2] Youjiang Yu, Xiao He, et al. (2024)
- [IEEE TCYB x1] Xin Liu, et al. about Image-Text Matching. (2024)
- [IEEE TIFS x6] Decheng Liu, Jingwei Xin, Ziyu Wei, Yulong Yang, Ruiyang Xia, Chunlei Peng, et al. (2024)
- [IEEE TIP x5] Guozhang Li, Ziyu Wei, Ruiyang Xia, Xi Yang, Lei Hu, et al. (2024)
- [IEEE TMM x7] Decheng Liu, Chunlei Peng, Xi Yang, De Cheng, et al. (2024)
- [IEEE TNNLS x4] Xinrui Jiang, Keyu Li, Changcheng Liang, Guozhang Li, et al. (2024)