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Short Bio

Research Interests

Conferences:

1. Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless Fowlkes, Ashwin Swaminathan, Stefano Soatto, "Your representations are in the network: composable and parallel adaptation for large scale models". NeuRIPS 2023.

2.  Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto,  "A Meta-Learning Approach to Predicting Performance and Data Requirements", CVPR 2023.

3. Hao Li, Charless Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto, "Guided Recommendation for Model Fine-Tuning", CVPR 2023.

4. Kibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan, Avinash Ravichandran, Onkar Dabeer, "Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark ", ECCV 2022.

5. Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto, "Omni-DETR: Omni-Supervised Object Detection with Transformers ", CVPR2022.

6. Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto, "Rethinking the Hyperparameters for Fine-tuning ", ICLR 2020.

7. Hao Yang, Hao Wu, Hao Chen, "Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes", ICCV 2019.

8. Qingyi Tao, Hao Yang, Jianfei Cai, "Zero-Annotation Object Detection with Web Knowledge Transfer", The 15th Europe Conference on Computer Vision (ECCV 2018).

9. Joey Tianyi Zhou, Jiawei Du , Kai Di, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh, "SC2Net: Sparse LSTMs for Sparse Coding", The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), (Oral), New Orleans, 2018. 

10. Hao Yang, Joey Tianyi Zhou, Jianfei Cai, Yew Soon Ong, "MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional Networks with Privileged Information" in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, USA, 2017.

11. Hao Yang, Joey Tianyi Zhou, Jianfei Cai, "Improving Multi-label Learning with Missing Labels by Structured Semantic Correlations" The 14th Europe Conference on Computer Vision (ECCV 2016), (Oral, 1.8% acceptance rate), Amsterdam, Netherlands, 2016.

12. Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai, "Exploit Bounding Box Annotations for Multi-label Object Recognition"  in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, USA, 2016. (Previous version uploaded on arXiv was named "Can Partial Strong Labels Boost Multi-label Object Recognition?") 

13. Hao Yang and Jianxin Wu, "Reduced Heteroscedasticity Linear Regression for Nyström Approximation" in Proceedings of International Joint Conference on Artificial Intelligence (IJCAI 2013), Beijing, China, 2013.

14. Hao Yang and Jianxin Wu, "Practical Large Scale Classification with Additive Kernels" in JMLR: Workshop and Conference Proceedings volume 25 (ACML 2012), Singapore, 2012.

15. Hao Yang and Jianxin Wu, "Object Templates for Visual Place Categorization" in Springer Lecture Notes in Computer Science (ACCV 2012), Daejeon, Korea, 2012.

Journals:

1. Qingyi Tao, Hao Yang, Jianfei Cai, "Exploiting Web Images for Weakly Supervised Object Detection", in IEEE Transactions on Multimedia (TMM) 2018 

2. Jianxin Wu and Hao Yang, "Linear Regression Based Efficient SVM Learning for Large Scale Classification"  in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2015.

Pre-prints:

• Hao Yang, Jianxin Wu and Jianfei Cai, "FPS: Non-linear Classification Based on Feature Pair Selection and Quantization" 2015.

Industrial Projects

• Large scale classification and detection. (AWS)

• Active and Incremental learning for virtual engine design. (Rolls-Royce)

• Maximize partial AUC for optimal ad placement. (NEC)

Academic Services

• PC member: ACCV 2012, 2014, PSIVT 2013, ICASSP 2015, WACV 2018, CVPR 2019-2020, ICCV 2019, AAAI 2020, IJCAI 2020, ECCV 2020

• Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Big Data, Pattern Recognition, Pattern Recognition Letters

• External Reviewer: CVPR 2015-2017; ICCV 2015, ICIP 2015, ICME 2015, ECCV 2016, ACM MM 2016

Besides Research

• Sci-Fi and fantasy (I enjoy the epic and fascinating worlds and stories created by intelligent and imaginative minds, J.R.R Tolkien, George R.R Martin, J.K Rowling, Philip K. Dick, Neil Gaiman, Alan Moore, Neal Stephenson, R.A Salvatore, just to name a few of my favorite writers.)

• Films (Particularly Auteur film)

• Photography (some of my works, mainly street)

• Baskteball

• Classical Music, OST, 60s-90s' Rock, Jpop

• Diving