Qilong Wang

qlwang@tju.edu.cn

135 Yaguan Road
300350
Tianjin
China

github.com/csqlwang

About Me

I am a full professor at the College of Intelligence and Computing of Tianjin University. Previously, I joined Tianjin University as an Assistant Professor in 2018. I received the B.S. degree and M.Sc. degree from Heilongjiang University in 2011 and 2014, and the Ph.D. degree from Dalian University of Technology under the supervision of Prof. Peihua Li in 2018. My current research interests are on multimodal large language model for vision-centric tasks and AI for Energy, particularly efficient architectures design and optimization, customized post-training, and efficient deployment.

News!

 

[2026-05-05] One paper is accepted to eScience.

[2026-05-01] One paper is accepted to ICML.

[2026-04-02] One paper is accepted to ACS Energy Letters.

[2026-02-23] One paper is accepted to IJCV.

[2026-02-21] Three papers are accepted to CVPR 2026 (One Findings). One of them was selected as highlight.

[2025-10-16] One paper is accepted to Journal of the American Chemical Society (JACS).

[2025-09-25] One paper is accepted to NeurIPS 2025.

[2025-06-26] Four papers are accepted to ICCV 2025.

[2025-03-25] One paper is accepted to ACS Central Science.

[2025-03-14] One paper is accepted to IJCV.

[2025-02-27] Four papers are accepted to CVPR 2025.

[2025-02-22] One paper is accepted to IEEE T-PAMI.

[2025-01-23] Two papers are accepted to ICLR 2025.

[2024-09-26] One paper is accepted to NeurIPS 2024.

[2024-03-07] I was awarded the WuWenJun AI Excellent Young Scientist.

[2024-02-27] One paper is accepted to CVPR 2024.

[2023-09-23] One paper is accepted to IEEE T-PAMI.

[2023-07-14] One paper is accepted to ICCV 2023.

[2023-02-28] One paper is accepted to CVPR 2023.

[2022-09-15] One paper is accepted to NeurIPS 2022.

[2022-03-03] One paper is accepted to CVPR 2022.

[2021-03-27] One paper is accepted to CVPR 2021.

[2020-09-15] I was awarded the excellent doctoral dissertation of Chinese Association for Artificial Intelligence (CAAI).

[2020-02-27] Three papers are accepted to CVPR 2020.

[2020-02-11] One paper is accepted to IEEE T-PAMI.

[2019-03-03] Two papers are accepted to CVPR 2019.

[2018-11-28] We organizded a Tutorial in PRCV 2018, and PPT can be download Here.

[2018-09-05] One paper is accepted to NIPS 2018.

[2018-05-15] I am supported by program for Post-doctoral Innovative Talents.

[2018-02-19] Two papers are accepted to CVPR 2018.

[2017-03-18] Two papers are accepted to CVPR 2017. One of them was selected for oral presentation (~2.65% acceptance rate).

Preprint Papers

  1. Shizhe Xiang, Ke An, Wenlong Yu, Yue Liu, Jian Luan, Pei Fu, Qilong Wang. Teaching the Way, Not the Answer: Privileged Tutoring Distillation for Multimodal Policy Optimization. CoRR abs/2606.07000 (2026). [arXiv][Code] 

Journal Papers

  1. Qilong Wang, Zhaolin Zhang, Mingze Gao, Jiangtao Xie, Pengfei Zhu, Peihua Li, Wangmeng Zuo and Qinghua Hu. Towards A Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective. IEEE T-PAMI, 45(12): 15802-15819, 2023. [PDF][Code]
  2. Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang and Peihua Li. Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. IEEE T-PAMI 43(8): 2582-2597, 2021. [PDF][Code][arXiv]
  3. Peihua Li, Qilong Wang, Hui Zeng and Lei Zhang. Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification. IEEE T-PAMI 39(4): 803-817, 2017. [PDF][Code]
  4. Zilin Gao#, Qilong Wang#, Bingbing Zhang, Qinghua Hu, Peihua Li. A2M2-Net: Adaptively Aligned Multi-Scale Moment for Few-Shot Action Recognition. IJCV, 2025. [PDF] [Code] (#Equal contribution)
  5. Deyuan Li, Zhenyi Lin, Feifei Luo, Can Xiao, Zhuoni Dai, Zequn Ye, Qilong Wang*, Yu-Guo Guo*, Chunpeng Yang*. Data-driven chemical feature extraction and material design for halide solid-state electrolytes. eScience, 2026. [PDF](*The corresponding author)
  6. Jinglang Zhang, Jiaxin Li, Guanhua Zhao, Qilong Wang*, Yu-Guo Guo*, Chunpeng Yang*. Mining Solid-State Electrolytes from Metal–Organic Framework Databases through Large Language Models and Representation Clustering. Journal of the American Chemical Society (JACS), 2025. [PDF] (*The corresponding author)

 

Conference Papers

  1. Ting Yang, Qilong Wang*, Qibin Hou, Qinghua Hu. Test-Time Multi-Prompt Adaptation for Open-Vocabulary Remote Sensing Image Segmentation. 39th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026. [PDF](*The corresponding author)(highlight paper)
  2. Rui Ma, Qilong Wang*, Bing Cao, Qinghua Hu, Yahong Han. Unknown Text Learning for CLIP-based Few-Shot Open-set Recognition. 20th IEEE International Conference on Computer Vision (ICCV), 2025. [PDF][Code](*The corresponding author)
  3. Liwei Luo, Shuaitengyuan Li, Dongwei Ren, Qilong Wang*, Pengfei Zhu, Qinghua Hu. Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning. 20th IEEE International Conference on Computer Vision (ICCV), 2025. [PDF][Code](*The corresponding author)
  4. Junjie Wu, Jiangtao Xie, Zhaolin Zhang, Qilong Wang*, Qinghua Hu, Peihua Li, Sen Xu. DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data. 20th IEEE International Conference on Computer Vision (ICCV), 2025. [PDF][Code](*The corresponding author)
  5. Wenlong Yu, Qilong Wang*, Chuang Liu, Dong Li, Qinghua Hu. CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification. 38th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [PDF][Code](*The corresponding author)
  6. Yilong Wang#, Zilin Gao#, Qilong Wang*, Zhaofeng Chen, Peihua Li, Qinghua Hu. TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition. 38th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [PDF][Code](*The corresponding author)
  7. Haoyuan Yang, Xiaoou Li, Jiaming Lv, Xianjun Cheng, Qilong Wang, Peihua Li. ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning. 38th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025 [PDF][Code](highlight paper)
  8. Junjie Wu, Qilong Wang*, Jiangtao Xie, Pengfei Zhu, Qinghua Hu. Asymmetric Factorized Bilinear Operation for Vision Transformer. The Thirteenth International Conference on Learning Representations (ICLR), 2025. [PDF][Code](*The corresponding author)
  9. Yuwei Tang, Zhenyi Lin, Qilong Wang*, Pengfei Zhu, Qinghua Hu. AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. 37th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [PDF][Code](*The corresponding author)
  10. Mingze Gao, Qilong Wang*, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou. Tuning Pre-trained Model via Moment Probing. 19th IEEE International Conference on Computer Vision (ICCV), 2023. [PDF][Code](*The corresponding author)
  11. Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu. DropCov: A Simple yet Effective Method for Improving Deep Architectures. Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022. [PDF][Code]
  12. Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li. Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. 35th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (Oral, acceptance rate: ~5%) [PDF][Code]
  13. Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu. What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective. 33th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [PDF][arXiv][Code]
  14. Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu. ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. 33th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.[PDF][arXiv][Code] (Most influential CVPR papers recommended by Paper Digest)
  15. Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo. Deep Global Generalized Gaussian Networks. 32th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [PDF] [Code]
  16. Qilong Wang*, Zilin Gao*, Jiangtao Xie, Wangmeng Zuo, Peihua Li. Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks. Thirty-second Conference on Neural Information Processing Systems (NeurIPS), 2018. [PDF][Supplemental][Code] (*The first two authors contribute equally to this work)
  17. Qilong Wang, Peihua Li, Lei Zhang. G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition. 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. (Oral, acceptance rate: 2.65%) [PDF] [Code] (Embedding a global trainable Gaussian distribution (square root SPD matrix) into deep CNNs, obtaining state-of-the-art results on FGVC task)
  18. Qilong Wang, Peihua Li, Wangmeng Zuo, Lei Zhang. RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition. 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [PDF] [Code] (A Gaussian descriptor with robust covariance estimation, achieving state-of-the-art results on texture classification task)
  19. Qilong Wang, Xiaona Deng, Peihua Li, Lei Zhang. Ask the Dictionary: Soft-Assignment Location-Orientation Pooling for Image Classification. 22th International Conference on Image Processing (ICIP), 2015. (Best 10% Paper Award) [PDF]
  20. Qilong Wang, Wangmeng Zuo, Lei Zhang, Peihua Li. Shrinkage Expansion Adaptive Metric Learning. 13th European Conference on Computer Vision (ECCV), 2014. [PDF] [Code]

 

Honors

  • *First prize of Tianjin Prize for Natural Sciences, 2024 (3/9)

  • *The WuWenJun AI Excellent Young Scientist, 2023

  • *Second prize of Tianjin Prize for Progress in Science and Technology, 2023 (3/8)

  • *Second prize of Tianjin Prize for Progress in Science and Technology, 2022 (1/8)

  • *The excellent doctoral dissertation of Chinese Association for Artificial Intelligence (CAAI), 2020

  • *ICIP2015 Best 10% Paper Award

Academic Service

AE of IEEE Transactions on Image Processing, Editor of Visual Intelligence

Area Chair for CVPR 2024, CVPR 2025, CVPR 2026