Building AI algorithms and systems for scientific intelligence with applications in disciplines such as life sciences and materials.

【1】K Tang, J Huang, H Zhang, Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect, NeurIPS 2020, 33: pp. 1513-1524.

【2】T Wang, J Huang, H Zhang, Q Sun, Visual Commonsense R-CNN, IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR 2020: pp. 10760-10770

【3】J Huang, Y Qin, J Qi, H Zhang, Deconfounded Visual Grounding, AAAI 2022 Oral, 36(1), pp. 998-1006

【4】T Wang, Z Yue, J Huang, Q Sun, H Zhang, Self-supervised learning disentangled group representation as feature, NeurIPS 2021, 34: pp. 18225-18240.

【5】J E, M Li, J Huang, CrowdAtlas: Estimating Crowd Distribution within the Urban Rail Transit System. ICDE 2021: pp. 2219-2224

【6】K Liu, P Tong, M Li, Y Wu, J Huang, ST4ML: Machine Learning Oriented Spatio-Temporal Data Processing at Scale. ACM SIGMOD'23/ Proceedings of the ACM on Management of Data, Vol. 1, Issue 1, Article 87, May 2023, pp. 1-24

【7】Yong, H., Huang, J., Hua, X., & Zhang, L. (2020). Gradient centralization: A new optimization technique for deep neural networks. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part I 16 (pp. 635-652). Springer International Publishing.

【8】K Tang, Y Niu, J Huang, J Shi, H Zhang，Unbiased scene graph generation from biased training, CVPR 2020, pp. 3716-3725

【9】J Qi, Y Niu, J Huang, H Zhang, Two Causal Principles for Improving Visual Dialog. CVPR 2020, pp. 10860-10869

【10】 C He, H Zeng, J Huang, XS Hua, L Zhang. Structure aware single-stage 3d object detection from point cloud. CVPR 2020.