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

NeurIPS 2025
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XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation

Chen B, Zhao M, Sun H, Chen L (Project Lead), et al.

Project Page [NeurIPS 2025]

✅ High-fidelity, editable multi-subject image synthesis. ✅ Powerful control over individual subject characteristics . ✅ Fine-grained manipulation of semantic attributes.

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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 [AAAI 2024]

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. [AAAI 2023]
  • 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. [ICCV 2023]
  • 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.