I am currently a full professor at Central South University. I obtained my PhD from the University of Sydney, majoring in artificial intelligence. My supervisers are Chang Xu and Shan You. Before that, I received my B.S and M.S degree at Tianjin University, advised by Prof. Xiaodong Chen. I also join a exchange program at Nankai University during 09/2012-09/2014.
xiusu1994@csu.edu.cn Google ScholarMy primary research interests include Embodied Intelligence, Multimodal Large Models, AutoML, Computer Vision, and Machine Learning, covering topics such as Embodied AI, Multimodal Models, LLMs, detection, segmentation, transformers, diffusion models, and human-object interaction (HOI). I have published over 20 academic papers in top-tier AI journals and conferences, including TPAMI (Impact Factor: 26.7), CVPR, ICCV, NeurIPS, ICML, AAAI, SIGKDD, ECCV, ICLR, among others. I also serve as a long-term reviewer for leading conferences and journals in the field. I am actively recruiting motivated and diligent Ph.D./Master's students and Research Assistants. The lab is well-equipped with ample GPU resources and maintains deep research collaborations with prestigious universities worldwide, providing opportunities for students to pursue further studies at renowned international institutions. Please feel free to contact at xiusu1994@csu.edu.cn.
VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection
Songhao Han, Wei Huang, Hairong Shi, Le Zhuo, Xiu Su, Shifeng Zhang, Xu Zhou, Xiaojuan Qi, Yue Liao, Si Liu
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[PDF]
Harmonizing for defect visibility with Fine-Grained Hierarchical Interaction Learning
Zhongze Wu, Yitian Long, Xiu Su*, Yueyi Luo, Shan You, Jun Long
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
[PDF]
HieClip: Hierarchical CLIP with Explicit Alignment for Zero-Shot Anomaly Detection
Liujie Hua, Xiu Su*, Yueyi Luo, Shan You, Jun Long
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
[PDF]
Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging
Chuang LIU, Yichao Cao, Yingying Zhang, Xiu Su*, Haogang Zhu
AAAI Conference on Artificial Intelligence (AAAI), 2025
[PDF]
Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation
Yuxin Qi, Quan Zhang, Xi Lin, Xiu Su, Jiani Zhu, Jingyu Wang, Jianhua Li
AAAI Conference on Artificial Intelligence (AAAI), 2025
[PDF]
Universal Frequency Domain Perturbation for Single-Source Domain Generalization
Chuang Liu, Yichao Cao, Haogang Zhu, Xiu Su*
ACM Multimedia (ACM MM), 2024
[PDF]
Detecting Any Instruction-to-Answer Interaction Relationship:Universal Instruction-to-Answer Navigator for Med-VQA
Zhongze Wu, Hongyan Xu, Yitian Long, Shan You, Xiu Su*, Jun Long, Yueyi Luo, Chang Xu
International Conference on Machine Learning (ICML), 2024
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models
Yichao Cao, Qingfei Tang, Xiu Su*, Song Chen, Shan You, Chang Xu, Xiaobo Lu
Advances in Neural Information Processing Systems (NeurIPS), 2024
[PDF]
BEYOND THE LIMIT OF WEIGHT-SHARING: PIONEERING SPACE-EVOLVING NAS WITH LARGE LANGUAGE MODELS
Xiu Su, Shan You, Hongyan Xu, Xiuxing Li, Jun Long, Yi Chen, Chang Xu
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
[PDF]
TCNAS: TRANSFORMER ARCHITECTURE EVOLVING IN CODE CLONE DETECTION
Hongyan Xu, Xiaohuan Pei, Xiu Su*, Shan You, Chang Xu
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
[PDF]
PROMPTING LABEL EFFICIENCY IN FEDERATED GRAPH LEARNING VIA PERSONALIZED SEMI-SUPERVISION
Qinghua Mao, Xi Lin, Xiu Su, Gaolei Li, Lixing Chen, Jianhua Li
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
[PDF]
DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures
Wenhao Li, Xiu Su*, Shan You, Fei Wang, Chen Qian, Chang Xu
IEEE International Conference on Data Mining (ICDM), 2023
[PDF]
Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection
Yichao Cao, Xiu Su#, Qingfei Tang, Feng Yang, Shan You, Xiaobo Lu, Chang Xu
International Conference on Computer Vision (ICCV), 2023
[PDF]
Neural Architecture Search for Wide Spectrum Adversarial Robustness
Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu
AAAI Conference on Artificial Intelligence (AAAI), 2023
[PDF]
Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition
Yichao Cao, Xiu Su*, Qingfei Tang, Shan You, Xiaobo Lu, Chang Xu
Conference and Workshop on Neural Information Processing Systems (NeurIPS), 2022
[PDF]
K-shot NAS: LearnableWeight-Sharing for NAS with K-shot Supernets
Xiu Su, Shan You, Kaiming Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
International Conference on Machine Learning (ICML), 2021
[PDF]
BCNet: Searching for Network Width with Bilaterally Coupled Network
Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[PDF]
Prioritized Architecture Sampling with Monto-Carlo Tree Search
Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[PDF] [Code for Benchmark]
Locally Free Weight Sharing for Network Width Search
Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
International Conference on Learning Representations (ICLR, Spotlight), 2021
[PDF]
Data Agnostic Filter Gating for Efficient Deep Networks
Hongyan Xu, Xiu Su, Shan You, Tao Huang, Hongyan Xu, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu, Dadong Wang, Arcot Sowmya
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),2022
[Arxiv]
Automatic bridge crack detection using a convolutional neural network
Hongyan Xu, Xiu Su, Yi Wang, Huaiyu Cai, Kerang Cui, Xiaodong Chen
Applied Sciences, 2019
[PDF]
An efficient hole-filling method based on depth map in 3D view generation
Haitao Liang, Xiu Su, Yilin Liu, Huaiyuan Xu, Yi Wang, Xiaodong Chen
2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology
[PDF]
An improved three-dimension reconstruction method based on guided filter and Delaunay
Yilin Liu, Xiu Su, Haitao Liang, Huaiyuan Xu, Yi Wang, Xiaodong Chen
2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology
[PDF]
Reviewer for Conferences and Journals:
The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS, 2022)
International Conference on Machine Learning (ICML, 2022)
European Conference on Computer Vision (ECCV, 2022)
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD, 2022)
The 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI, 2022)
Computer Vision and Pattern Recognition (CVPR, 2022)
Winter Conference on Applications of Computer Vision (WACV, 2022)
IEEE Transactions on Multimedia (IEEE Trans)
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS, 2021)
The 21th IEEE International Conference on Data Mining (ICDM, 2021)
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD, 2021)
ACM International Conference on Multimedia (ACMMM, 2021)
Neurocomputing (Neurocomputing)
[2017/09] First prize scholarship in Tianjin University
[2015/10] Merit student scholarship in Tianjin University
[2015/04] Meritorious Winner of Mathematical Contest in Modeling(Team leader)
[2013/06] First prize in mathematics competition for university students in Tianjin
[2013/10] "Public and Ability" scholarship in Nankai University
Chairman of mathematical modeling Association of Tianjin University(2014/2015)
Join the Nankai University Volunteer Association to take care of the elderly(2013/2014/2015)