Li Chen | 陈力

Li Chen | 陈力

Bytedance ICVG

👨🏻‍🎓 About Me

I am currently a Research Scientist at ByteDance. Before that, I received my Ph.D. from the School of Geosciences and Info-Physics, Central South University.

My research interests include interpretable AI and large multi-modal models. My Google Scholar could be found .

📝 Publications

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PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models

Chen, L., Zhao, M., Liu, Y., Ding, M., et al.

Project Page

✅ only one facial photograph. ✅ no test-time tuning. ✅ demonstrate exceptional ID preservation and editability.

AAAI 2024
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AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose

Zhang, H., Chen, B., Yang, H., Qu, L., Wang, X., Chen, L. et al.

Project Page

Rigorous qualitative evaluations and user studies showcase AvatarVerse’s superiority in synthesizing high-fidelity 3D avatars, leading to a new standard in high-quality and stable 3D avatar creation.

  • Wang, S., Zeng, W., Wang, X., Yang, H., Chen, L., Zhang, C., Wu, M., Yuan, Y. et al. (2023). SwiftAvatar: efficient auto-creation of parameterized stylized character on arbitrary avatar engines. Proceedings of the AAAI Conference on Artificial Intelligence, 37(5), 6101-6109.
  • Tao, Y., Sun, J., Yang, H., Chen, L., Wang, X., Yang, W., Du, D., Zheng, M. et al. (2023). Local and Global Logit Adjustments for Long-Tailed Learning. Proceedings of the IEEE/CVF International Conference on Computer Vision.
  • Chen, L., Li, Q., Chen, W., Wang, Z., Li, H. (2022). A data‐driven adversarial examples recognition framework via adversarial feature genomes. International Journal of Intelligent Systems, 37(9), 6438-6462.
  • Lu, M., Li, Q., Chen, L., Li, H. (2021). Scale-adaptive adversarial patch attack for remote sensing image aircraft detection. Remote Sensing, 13(20), 4078.
  • Chen, L., Chen, W., Xu, Z., Huang, H., Wang, S., Zhu, Q., Li, H. (2021). DAPnet: A double self-attention convolutional network for point cloud semantic labeling. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
  • Chen, L., Xiao, J., Zou, P., Li, H. (2021). Lie to me: A soft threshold defense method for adversarial examples of remote sensing images. IEEE Geoscience and Remote Sensing Letters, 19, 1-5.
  • Zhang, Y., Dai, Z., Wang, W., Li, X., Chen, S., Chen, L. (2021). Estimation of the Potential Achievable Solar Energy of the Buildings Using Photogrammetric Mesh Models. Remote Sensing, 13(13), 2484.
  • Xu, Z., Wang, S., Stanislawski, L.V., Jiang, Z., Jaroenchai, N., Sainju, A.M., Chen, L., et al. (2021). An attention U-Net model for detection of fine-scale hydrologic streamlines. Environmental Modelling & Software, 140, 104992.
  • Chen, L., Dou, X., Peng, J., Li, W., Sun, B., Li, H. (2021). EFCNet: Ensemble Full Convolutional Network for Semantic Segmentation of High-Resolution Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters, 19, 1-5.
  • Chen, J., Huang, H., Peng, J., Zhu, J., Chen, L., Tao, C., Li, H. (2021). Contextual information-preserved architecture learning for remote-sensing scene classification. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-14.
  • Zhu, J., Tao, C., Lin, X., Peng, J., Huang, H., Chen, L., Wang, Q. (2021). A multiple subspaces-based model: Interpreting urban functional regions with big geospatial data. ISPRS International Journal of Geo-Information, 10(2), 66.
  • Chen, L., Xu, Z., Li, Q., Peng, J., Wang, S., Li, H. (2021). An empirical study of adversarial examples on remote sensing image scene classification. IEEE Transactions on Geoscience and Remote Sensing, 59(9), 7419-7433.
  • Li, H., Shi, Z., Chen, L., Cui, Z., Li, S., Zhao, L. (2020). Analysis of Cultural Meme Characteristics for Big Data of Cultural Relics. Information, 11(12), 584.
  • Li, H., Huang, H., Chen, L., Peng, J., Huang, H., Cui, Z., Mei, X., Wu, G. (2020). Adversarial examples for CNN-based SAR image classification: An experience study. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
  • Chen, J., Yuan, Z., Peng, J., Chen, L., Huang, H., Zhu, J., Liu, Y., Li, H. (2020). DASNet: Dual attentive fully convolutional Siamese networks for change detection in high-resolution satellite images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
  • Li, H., Cui, Z., Zhu, Z., Chen, L., Zhu, J., Huang, H., Tao, C. (2020). RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification. arXiv preprint arXiv:2009.13364.
  • Chen, L., Li, H., Zhu, G., Li, Q., Zhu, J., Huang, H., Peng, J., Zhao, L. (2020). Attack selectivity of adversarial examples in remote sensing image scene classification. IEEE Access, 8, 137477-137489.
  • Zhang, X., Xu, J., Yang, J., Chen, L., Zhou, H., Liu, X., Li, H., Lin, T., Ying, Y. (2020). Understanding the learning mechanism of convolutional neural networks in spectral analysis. Analytica Chimica Acta, 1119, 41-51.
  • Li, H., Qiu, K., Chen, L., Mei, X., Hong, L., Tao, C. (2020). SCAttNet: Semantic segmentation network with spatial and channel attention mechanism for high-resolution remote sensing images. IEEE Geoscience and Remote Sensing Letters, 18(5), 905-909.
  • Chen, J., Huang, H., Peng, J., Zhu, J., Chen, L., Li, W., Sun, B., Li, H. (2020). Convolution neural network architecture learning for remote sensing scene classification. arXiv preprint arXiv:2001.09614.
  • Zhu, J., Chen, H., Wu, G., Chen, L., Li, H. (2019). Pressure point driven evolutionary algorithm for many-objective optimization. Swarm and Evolutionary Computation, 51, 100599.
  • Chen, L., Zhu, G., Li, Q., Li, H. (2019). Adversarial example in remote sensing image recognition. arXiv preprint arXiv:1910.13222.
  • Li, H., Chen, L., Ding, H., Li, Q., Sun, B., Wu, G. (2019). Procedural Learning With Robust Visual Features via Low Rank Prior. IEEE Access, 7, 18884-18893.
  • 陈力， 费洪晓， 丁海伦， 成琳， 翟纪宇. (2019). 基于双决策树的数据采样方法. Computer Engineering & Science/Jisuanji Gongcheng yu Kexue, 41 (1).
  • 陈力， 费洪晓， 李海峰， 何嘉宝， 谭风云. (2019). 深度神经网络内部迁移的信息几何度量分析. 湖南大学学报: 自然科学版, 46 (2), 97-104.
  • Chen, L., Ding, H., Li, Q., Li, Z., Peng, J., Li, H. (2018). Understanding the Importance of Single Directions via Representative Substitution. arXiv preprint arXiv:1811.11053.
  • Chen, L., Ding, H., Li, Q., Zhu, J., Huang, H., Chang, Y., Li, H. (2018). Adversarial feature genome: a data driven adversarial examples recognition method. arXiv preprint arXiv:1812.10085.
  • Chen, L., Fei, H., Xiao, Y., He, J., Li, H. (2017). Why batch normalization works? a buckling perspective. 2017 IEEE International Conference on Information and Automation (ICIA).
  • Hongxiao, F., Li, C., Jiabao, H., Yanru, X., Han, L. (2017). SANet: An Approach for Prediction in Music Trends. Advances in Computer and Computational Sciences: Proceedings of ICCCCS 2016.