學科專業(yè)（學術型/專業(yè)型）：計算機系統(tǒng)結構/計算機技術
AI for Science算法、機器學習架構、計算機系統(tǒng)結構
研究面向科學智能領域的AI算法與系統(tǒng)，構建模型即服務的新一代科學智能服務平臺。以模型即服務的方式，組織科學數(shù)據(jù)與AI驅動的科研信息基礎設施研制，推進AI在生命科學與材料等學科領域的應用，促進基于新科研范式的重大科技成果產(chǎn)出。
曾擔任科技創(chuàng)新 2030-“新一代人工智能”重大項目課題負責人,獲得浙江省科技進步獎一等獎，獲得中國電子學會優(yōu)秀科技工作者（全國100名），發(fā)表國際論文60余篇。
以下是黃建強的 Google Scholar 個人主頁地址：
https://scholar.google.com.hk/citations?user=UqAybqgAAAAJ&hl=en
[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.