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2020 – today
- 2024
[c15]Tianyu Zhang
, Yuxiang Ren, Wenzheng Feng, Weitao Du, Xuecang Zhang:
CGCL: Collaborative Graph Contrastive Learning Without Handcrafted Graph Data Augmentations. DASFAA (6) 2024: 418-428- [i16]Weitao Du, Shengchao Liu, Xuecang Zhang:
A quatum inspired neural network for geometric modeling. CoRR abs/2401.01801 (2024) - [i15]Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Vignesh C. Bhethanabotla, Nakul Rampal, Omar Yaghi, Christian Borgs, Anima Anandkumar, Hongyu Guo, Jennifer T. Chayes:
A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics. CoRR abs/2401.15122 (2024) - [i14]Kaiwei Zhang, Yange Lin, Guangcheng Wu, Yuxiang Ren, Xuecang Zhang, Bo Wang, Xiaoyu Zhang, Weitao Du:
Sculpting Molecules in 3D: A Flexible Substructure Aware Framework for Text-Oriented Molecular Optimization. CoRR abs/2403.03425 (2024) - [i13]Shengchao Liu, Divin Yan, Weitao Du, Weiyang Liu, Zhuoxinran Li, Hongyu Guo, Christian Borgs, Jennifer T. Chayes, Anima Anandkumar:
Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design. CoRR abs/2409.10584 (2024) - 2023
- [c14]Weitao Du, He Zhang, Tao Yang, Yuanqi Du:
A Flexible Diffusion Model. ICML 2023: 8678-8696 - [c13]Shengchao Liu, Weitao Du, Zhi-Ming Ma, Hongyu Guo, Jian Tang:
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. ICML 2023: 21497-21526 - [c12]Weitao Du, Jiujiu Chen, Xuecang Zhang, Zhi-Ming Ma, Shengchao Liu:
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion. NeurIPS 2023 - [c11]Weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla P. Gomes, Zhi-Ming Ma:
A new perspective on building efficient and expressive 3D equivariant graph neural networks. NeurIPS 2023 - [c10]Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhi-Ming Ma, Omar Yaghi, Animashree Anandkumar, Christian Borgs, Jennifer T. Chayes, Hongyu Guo, Jian Tang:
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. NeurIPS 2023 - [i12]Weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla Gomes, Zhi-Ming Ma:
A new perspective on building efficient and expressive 3D equivariant graph neural networks. CoRR abs/2304.04757 (2023) - [i11]Shengchao Liu, Weitao Du, Zhiming Ma, Hongyu Guo, Jian Tang:
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. CoRR abs/2305.18407 (2023) - [i10]Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhiming Ma, Omar Yaghi, Anima Anandkumar, Christian Borgs, Jennifer T. Chayes, Hongyu Guo, Jian Tang:
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. CoRR abs/2306.09375 (2023) - [i9]Wei Chen, Weitao Du, Zhi-Ming Ma, Qi Meng:
Power-law Dynamic arising from machine learning. CoRR abs/2306.09624 (2023) - [i8]Weitao Du, Jiujiu Chen, Xuecang Zhang, Zhiming Ma, Shengchao Liu:
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion. CoRR abs/2312.03475 (2023) - 2022
- [j3]Jinbo Ren, Weitao Du, Dingqiang Peng, Desheng Zou, Yimin Shao, Chris K. Mechefske:
Optimization of the number of paddy field blades by modeling the mass and power consumption of dynamic splashes. Comput. Electron. Agric. 199: 107173 (2022) - [c9]Wei Huang, Yayong Li, Weitao Du, Richard Y. D. Xu, Jie Yin, Ling Chen, Miao Zhang:
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective. ICLR 2022 - [c8]Weitao Du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Nanning Zheng, Bin Shao, Tie-Yan Liu:
SE(3) Equivariant Graph Neural Networks with Complete Local Frames. ICML 2022: 5583-5608 - [i7]Weitao Du, Tao Yang, He Zhang, Yuanqi Du:
A Flexible Diffusion Model. CoRR abs/2206.10365 (2022) - [i6]Arne Schneuing, Yuanqi Du, Charles Harris, Arian R. Jamasb, Ilia Igashov, Weitao Du, Tom L. Blundell, Pietro Lió, Carla Gomes, Max Welling, Michael M. Bronstein, Bruno E. Correia:
Structure-based Drug Design with Equivariant Diffusion Models. CoRR abs/2210.13695 (2022) - 2021
- [c7]Wei Huang, Weitao Du, Richard Yi Da Xu:
On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization. IJCAI 2021: 2577-2583 - [i5]Wei Huang, Yayong Li, Weitao Du, Richard Yi Da Xu, Jie Yin, Ling Chen:
Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss. CoRR abs/2103.03113 (2021) - [i4]Weitao Du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Bin Shao, Tie-Yan Liu:
Equivariant vector field network for many-body system modeling. CoRR abs/2110.14811 (2021) - 2020
- [c6]Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao:
Mean Field Theory for Deep Dropout Networks: Digging up Gradient Backpropagation Deeply. ECAI 2020: 1215-1222 - [i3]Wei Huang, Weitao Du, Richard Yi Da Xu:
On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization. CoRR abs/2004.05867 (2020) - [i2]Wei Huang, Weitao Du, Richard Yi Da Xu, Chunrui Liu:
Implicit bias of deep linear networks in the large learning rate phase. CoRR abs/2011.12547 (2020)
2010 – 2019
- 2019
- [i1]Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao:
Mean field theory for deep dropout networks: digging up gradient backpropagation deeply. CoRR abs/1912.09132 (2019) - 2018
- [j2]Ruwu Xiao, Qiying Lei, Xuan Guo, Weitao Du, Yuping Zhao:
A Design of Two Sub-Stage Square-Root Nyquist Matched Filter. IEEE Access 6: 23292-23302 (2018) - [j1]Ruwu Xiao, Xuan Guo, Qiying Lei, Weitao Du, Yuping Zhao:
Designing an Easy-to-Deploy Improved DVB-C Set-Top Boxes With a Backward Compatible Square-Root Nyquist Filter. IEEE Trans. Consumer Electron. 64(1): 19-27 (2018) - 2016
- [c5]Dewen Qi, Xuan Guo, Weitao Du:
Design of a broadband-intermediate-frequency multi-frequency shortwave signal observation system based on FPGA. ICIA 2016: 1990-1995 - 2015
- [c4]Dewen Qi, Xuan Guo, Weitao Du:
Design of digital signal spectrum analyzer based on FPGA. ICIA 2015: 2725-2729 - 2012
- [c3]Hang Yin, Weitao Du, Yu Hen Hu, Rui Lv:
A novel flexible foldable systolic architecture FIR filters generator. SoCC 2012: 334-339 - 2010
- [c2]Qunchao Feng, Yuanzhi Chen, Weitao Du:
An improved feedback cancelling method for on-channel repeater. WCNIS 2010: 158-161 - [c1]Xiaogang Yang, Weitao Du, Jingang Yu, Rui Lv, Zhanxin Yang:
A novel 3780-point FFT. WCNIS 2010: 178-182
Coauthor Index
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