Hui Ying, He Wang, Tianjia Shao, Yin Yang, and Kun Zhou, Unsupervised Image Generation with Infinite Generative Adversarial Networks, ICCV 2021.
Siyuan Shen, Yang Yin, Tianjia Shao, He Wang, Chenfanfu Jiang, Lei Lan and Kun Zhou, High-order Differentiable Autoencoder for Nonlinear Model Reduction, SIGGRAPH 2021
Zheyan Zhang, Peter K. Jimack and He Wang, MeshingNet3D: Efficient Generation of Adapted Tetrahedral Meshes for Computational Mechanics, Advances in Software Engineering, 2021
Fan Pan, Peiyu He, He Wang, Yuhang Xu, Xiaobo Pu, Qijun Zhao, Fei Chen, and Dingchang Zheng, Development and validation of a deep learning-based automatic auscultatory blood pressure measurement method, Biomedical Signal Processing and Control, 2021
Mohamed Hasan, Albert Solernou, Evangelos Paschalidis, He Wang, Gustav Markkula and Richard Romano, Maneuver-Aware Pooling for Vehicle Trajectory Prediction, 2021
Mohamed Hasan, Evangelos Paschalidis, Albert Solernou, He Wang, Gustav Markkula and Richard Romano, Maneuver-based Anchor Trajectory Hypotheses at Roundabouts, 2021
Yunfeng Diao, Tianjia Shao, Yongliang Yang, Kun Zhou and He Wang, BASAR:Black-box Attack on Skeletal Action Recognition, CVPR 2021
He Wang, Feixiang He, Zhexi Peng, Tianjia Shao, Yongliang Yang, Kun Zhou and David Hogg, Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack, CVPR 2021
John Hartley, Hubert P. H. Shum, Edmond S. L. Ho, He Wang and Subramanian Ramamoorthy, Formation Control for UAVs Using a Flux Guided Approach, arXiv:2103.09184, 2021.
Xiaoyu Pan, Jiancong Huang, Jiaming Mai, He Wang, Honglin Li, Tongkui Su, Wenjun Wang and Xiaogang Jin, HeterSkinNet: A Heterogeneous Network for Skin Weights Prediction, ACM I3D 2021.
Lijuan Liu, Yin Yang, Yi Yuan, Tianjia Shao, He Wang, and Kun Zhou, In-game Residential Home Planning via Visual Context-aware Global Relation Learning, AAAI 2021.
Yue Zhang, Sheng Quan Xie, He Wang, Zhibin Yu and Zhiqiang Zhang, Data Analytics in Steady-State Visual Evoked Potential-based Brain-Computer Interface: A Review, IEEE Sensors Journal 2020.
Wenheng Chen, He Wang, Yi Yuan, Tianjia Shao and Kun Zhou, Dynamic Future Net: Diversified Human Motion Generation, ACM Multimedia 2020.
Matthew Warburton, Jack Brookes, Mohamed Hasan, Matteo Leonetti, Mehmet Dogar, He Wang, Anthony G. Cohn, Faisal Mushtaq and Mark A. Mon-Williams, Getting stuck in a rut as an emergent feature of a dynamic decision-making system, bioRxiv, 2020.
Wei Xiang, Xinran Yao, He Wang and Xiaogang Jin, FASTSWARM: A Data-driven FrAmework for Real-time Flying InSecT SWARM Simulation, Computer Animation and Virtual Worlds (Best Student Paper Nomination in CASA 2020), 2020. Cover Featured.
Bing Yu, Ke Sun, He Wang, Zhouchen Lin and Zhanxing Zhu, Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data, 2020.
Feixiang He, Yuanhang Xiang, Xi Zhao and He Wang, Informative Scene Decomposition for Crowd Analysis, Comparison and Simulation Guidance, SIGGRAPH, 2020.
Yong Ji, Gaoming Jiang, Mengting Tang, Ningtao Mao and He Wang, Three-dimensional simulation of warp knitted structures based on geometric unit cell of loop yarns, Textile Research Journal, 2020.
Zheyan Zhang, Yongxing Wang, Peter K. Jimack and He Wang, MeshingNet: A New Mesh Generation Method based on Deep Learning, International Conference on Computational Science 2020.
Mohamed Hasan, Matthew Warburton, Wisdom C. Agboh, Mehmet R. Dogar, Matteo Leonetti, He Wang, Faisal Mushtaq, Mark Mon-Williams, Anthony G. Cohn, Human-like Planning for Reaching in Cluttered Environments, International Conference on Robotics and Automation 2020.
Hubert P. H. Shum, Edmond S. L. Ho, Marie-Paule Cani, Tiberiu Popa, Daniel Holden, and He Wang (Eds.). 2019. Motion, Interaction and Games. ACM, New York, NY, USA.
He Wang, Feixiang He, Zhexi Peng, Yongliang Yang, Tianjia Shao, Kun Zhou, David Hogg, SMART: Skeletal Motion Action Recognition aTtack, arXiv:1911.07107, 2019
He Wang, Edmond S L Ho, Hubert P. H. Shum and Zhanxing Zhu, Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling, Visualization and Computer Graphics, IEEE Transactions on, 2019
Peiyu He, Dingchang Zheng, Fan Pan, Fei Chen, He Wang, Jing Zhang, A Novel Deep Learning based Automatic Auscultatory Method to Measure Blood Pressure, International Journal of Medical Informatics, 2019
Chan, JCP, Shum, HP, H. Wang, H, Yi, L, Wei, W, Ho, ESL. A generic framework for editing and synthesizing multimodal data with relative emotion strength. Comput. Anim. Virtual Worlds. 2019
Yijun Shen, Joseph Henry, He Wang, Edmond S. L. Ho, Taku Komura and Hubert P. H. Shum, Data-Driven Crowd Motion Control with Multi-touch Gestures, Computer Graphics Forum, 2018
Yijun Shen, He Wang, Edmond S. L. Ho, Longzhi, Yang and Hubert P. H. Shum, Posture-based and Action-based Graphs for Boxing Skill Visualization, Computer & Graphics, 2017
Edmond S. L. Ho, Hubert P. H. Shum, He Wang, Li Yi, Synthesizing Motion with Relative Emotion Strength, Siggraph Asia 2017 Workshop on Data-driven Animation Techniques.
Yinxuan Shi, Jan Ondrej, He Wang and Carol O'Sullivan, Shape Up! Perception based body shape variation for data-driven crowds, IEEE VR 2017 Workshop on Virtual Humans and Crowds in Immersive Environments (VHCIE).
He Wang, Jan Ondrej, Carol O'Sullivan, Trending Paths: A New Semantic-level Metric for Comparing Simulated and Real Crowd Data, Visualization and Computer Graphics, IEEE Transactions on , vol.23, no.5, pp.1454,1464, May 1 2017.
He Wang and Carol O'Sullivan, Globally Continuous and Non-Markovian Crowd Activity Analysis from Videos, the European Conference on Computer Vision 2016. (Spotlight  acceptance rate 2.9%)
Hubert P. H. Shum, He Wang, Edmond S. L. Ho and Taku Komura, SkillVis: A Visualization Tool for Boxing Skill Assessment, Proceedings of the 2016 International Conference on Motion in Games (MIG) (Selected for C&G referral)
He Wang, Jan Ondrej, Carol O'Sullivan, Path Patterns: Analyzing and Comparing Real and Simulated Crowds, ACM Symposium of Interactive 3D Graphics and Games, 2016. (Selected for IEEE TVCG referral, acceptance rate 10%)
He Wang, Ho, E.S.L., Komura, T., An Energy-Driven Motion Planning Method for Two Distant Postures, Visualization and Computer Graphics, IEEE Transactions on , vol.21, no.1, pp.18,30, Jan. 1 2015
Edmond S. L. Ho, He Wang and Taku Komura. 2014. A multi-resolution approach for adapting close character interaction. In Proceedings of the 20th ACM Symposium on Virtual Reality Software and Technology (VRST 14)
Xi Zhao, He Wang, and Taku Komura. 2014. Indexing 3D Scenes Using the Interaction Bisector Surface, ACM Trans. Graph. 33, 3, Article 22 (June 2014), 14 pages (presented in Siggraph 2014).
He Wang*, Kirill A. Sidorov*, Peter Sandilands, and Taku Komura. 2013. Harmonic parameterization by electrostatics. ACM Trans. Graph. 32, 5, Article 155 (October 2013), 12 pages.(presented in Siggraph 2014)
He Wang and Taku Komura. Manipulation of flexible objects by geodesic control. Computer Graphics Forum, 31(2), 2012. 58, 83 (accepted in Eurographics 2012)
He Wang, Control of objects with a high degree of freedom, 2012. University of Edinburgh. PhD Thesis.
He Wang and Taku Komura. Energy-Based pose unfolding and interpolation for 3D articulated characters. In Motion in Games, volume 7060, pages 110-C119. Spring Berlin Heidelberg, Berlin, Heidelberg, 2011. ISBN 978-3-642-25089-7, 978-3-642- 25090-3