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2020 – today
- 2024
[c5]Haiyang He
, Norman Chang, Akhilesh Kumar, Jie Yang, Wenbo Xia, Lang Lin, Jessica Yen, Haoliang Jiang, Rishikesh Ranade:
Parallel Per-tile Activation with Linear Superposition of Thermal Response for Solving Arbitrary Power Pattern in 3DIC Thermal Simulation. MLCAD 2024: 12:1-12:7- [i7]Sheel Nidhan, Haoliang Jiang, Lalit Ghule, Clancy Umphrey, Rishikesh Ranade, Jay Pathak:
A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations. CoRR abs/2408.14461 (2024) - 2020
- [j2]Zhenguo Nie, Haoliang Jiang, Levent Burak Kara:
Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks. J. Comput. Inf. Sci. Eng. 20(1) (2020) - [c4]Aloys Baillet, Josh Murtack, Hongbin Hu, Haoliang Jiang, Michael Quandt:
Bond: USD-Integrated Hybrid CPU, GPU Deformation System. SIGGRAPH Talks 2020: 34:1-34:2 - [i6]Zhenguo Nie, Tong Lin, Haoliang Jiang, Levent Burak Kara:
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain. CoRR abs/2003.04685 (2020) - [i5]Haoliang Jiang, Zhenguo Nie, Roselyn Yeo, Amir Barati Farimani, Levent Burak Kara:
StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction. CoRR abs/2006.11376 (2020)
2010 – 2019
- 2019
- [j1]Wentai Zhang, Haoliang Jiang, Zhangsihao Yang, Soji Yamakawa, Kenji Shimada, Levent Burak Kara:
Data-driven Upsampling of Point Clouds. Comput. Aided Des. 112: 1-13 (2019) - [c3]Zhangsihao Yang, Haoliang Jiang, Lan Zou:
3D Conceptual Design Using Deep Learning. CVC (1) 2019: 16-26 - [i4]Wentai Zhang, Zhangsihao Yang, Haoliang Jiang, Suyash Nigam, Soji Yamakawa, Tomotake Furuhata, Kenji Shimada, Levent Burak Kara:
3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders. CoRR abs/1904.07964 (2019) - 2018
- [i3]Wentai Zhang, Haoliang Jiang, Zhangsihao Yang, Soji Yamakawa, Kenji Shimada, Levent Burak Kara:
Data-driven Upsampling of Point Clouds. CoRR abs/1807.02740 (2018) - [i2]Zhangsihao Yang, Haoliang Jiang, Lan Zou:
3D Conceptual Design Using Deep Learning. CoRR abs/1808.01675 (2018) - [i1]Zhenguo Nie, Haoliang Jiang, Levent Burak Kara:
Deep Learning for Stress Field Prediction Using Convolutional Neural Networks. CoRR abs/1808.08914 (2018)
2000 – 2009
- 2007
- [c2]Haoliang Jiang, Haixun Wang, Philip S. Yu, Shuigeng Zhou:
GString: A Novel Approach for Efficient Search in Graph Databases. ICDE 2007: 566-575 - 2006
- [c1]Haoliang Jiang, Shuigeng Zhou, Jihong Guan, Ying Zheng:
gTRICLUSTER: A More General and Effective 3D Clustering Algorithm for Gene-Sample-Time Microarray Data. BioDM 2006: 48-59
Coauthor Index
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