Weitao Du - RankMe

41 papers A* 9A 1Journal 25Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AlphaNet: Scaling Up Local Frame-based Atomistic Foundation Model. CoRR Bangchen Yin, Jiaao Wang, Weitao Du, Pengbo Wang, Penghua Ying, Haojun Jia, Zisheng Zhang, Yuanqi Du, Carla P. Gomes, Chenru Duan, Hai Xiao, Graeme Henkelman
2025	J	`jnl`	Flow Along the K-Amplitude for Generative Modeling. CoRR Weitao Du, Shuning Chang, Jiasheng Tang, Yu Rong, Fan Wang, Shengchao Liu
2025	A*	`conf`	GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation. AAAI Shengyin Sun, Wenhao Yu, Yuxiang Ren, Weitao Du, Liwei Liu, Xuecang Zhang, Ying Hu, Chen Ma
2025	J	`jnl`	GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation. CoRR Shengyin Sun, Wenhao Yu, Yuxiang Ren, Weitao Du, Liwei Liu, Xuecang Zhang, Ying Hu, Chen Ma
2025	J	`jnl`	InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames. CoRR Haorui Li, Weitao Du, Yuqiang Li, Hongyu Guo, Shengchao Liu
2025	J	`jnl`	Sculpting molecules in text-3D space: a flexible substructure aware framework for text-oriented molecular optimization. BMC Bioinform. Kaiwei Zhang, Yange Lin, Guangcheng Wu, Yuxiang Ren, Xuecang Zhang, Bo Wang, Xiao-Yu Zhang, Weitao Du
2024	J	`jnl`	A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics. CoRR Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Vignesh C. Bhethanabotla, Nakul Rampal, Omar Yaghi, Christian Borgs, Anima Anandkumar, Hongyu Guo, Jennifer T. Chayes
2024	J	`jnl`	A quatum inspired neural network for geometric modeling. CoRR Weitao Du, Shengchao Liu, Xuecang Zhang
2024	—	`conf`	CGCL: Collaborative Graph Contrastive Learning Without Handcrafted Graph Data Augmentations. DASFAA (6) Tianyu Zhang, Yuxiang Ren, Wenzheng Feng, Weitao Du, Xuecang Zhang
2024	J	`jnl`	Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design. CoRR Shengchao Liu, Divin Yan, Weitao Du, Weiyang Liu, Zhuoxinran Li, Hongyu Guo, Christian Borgs, Jennifer T. Chayes, Anima Anandkumar
2024	J	`jnl`	Sculpting Molecules in 3D: A Flexible Substructure Aware Framework for Text-Oriented Molecular Optimization. CoRR Kaiwei Zhang, Yange Lin, Guangcheng Wu, Yuxiang Ren, Xuecang Zhang, Bo Wang, Xiaoyu Zhang, Weitao Du
2024	J	`jnl`	Structure-based drug design with equivariant diffusion models. Nat. Comput. Sci. Arne Schneuing, Charles Harris, Yuanqi Du, Kieran Didi, Arian Rokkum Jamasb, Ilia Igashov, Weitao Du, Carla P. Gomes, Tom L. Blundell, Pietro Lio, Max Welling, Michael M. Bronstein, Bruno E. Correia
2023	A*	`conf`	A Flexible Diffusion Model. ICML Weitao Du, He Zhang, Tao Yang, Yuanqi Du
2023	A*	`conf`	A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. ICML Shengchao Liu, Weitao Du, Zhi-Ming Ma, Hongyu Guo, Jian Tang
2023	J	`jnl`	A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. CoRR Shengchao Liu, Weitao Du, Zhiming Ma, Hongyu Guo, Jian Tang
2023	A*	`conf`	A new perspective on building efficient and expressive 3D equivariant graph neural networks. NeurIPS Weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla P. Gomes, Zhi-Ming Ma
2023	J	`jnl`	A new perspective on building efficient and expressive 3D equivariant graph neural networks. CoRR Weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla Gomes, Zhi-Ming Ma
2023	A*	`conf`	Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion. NeurIPS Weitao Du, Jiujiu Chen, Xuecang Zhang, Zhi-Ming Ma, Shengchao Liu
2023	J	`jnl`	Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion. CoRR Weitao Du, Jiujiu Chen, Xuecang Zhang, Zhiming Ma, Shengchao Liu
2023	J	`jnl`	Power-law Dynamic arising from machine learning. CoRR Wei Chen, Weitao Du, Zhi-Ming Ma, Qi Meng
2023	A*	`conf`	Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. NeurIPS 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
2023	J	`jnl`	Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. CoRR 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
2022	J	`jnl`	A Flexible Diffusion Model. CoRR Weitao Du, Tao Yang, He Zhang, Yuanqi Du
2022	J	`jnl`	Optimization of the number of paddy field blades by modeling the mass and power consumption of dynamic splashes. Comput. Electron. Agric. Jinbo Ren, Weitao Du, Dingqiang Peng, Desheng Zou, Yimin Shao, Chris K. Mechefske
2022	A*	`conf`	SE(3) Equivariant Graph Neural Networks with Complete Local Frames. ICML Weitao Du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Nanning Zheng, Bin Shao, Tie-Yan Liu
2022	J	`jnl`	Structure-based Drug Design with Equivariant Diffusion Models. CoRR 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
2022	A*	`conf`	Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective. ICLR Wei Huang, Yayong Li, Weitao Du, Richard Y. D. Xu, Jie Yin, Ling Chen, Miao Zhang
2021	J	`jnl`	Equivariant vector field network for many-body system modeling. CoRR Weitao Du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Bin Shao, Tie-Yan Liu
2021	A*	`conf`	On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization. IJCAI Wei Huang, Weitao Du, Richard Yi Da Xu
2021	J	`jnl`	Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss. CoRR Wei Huang, Yayong Li, Weitao Du, Richard Yi Da Xu, Jie Yin, Ling Chen
2020	J	`jnl`	Implicit bias of deep linear networks in the large learning rate phase. CoRR Wei Huang, Weitao Du, Richard Yi Da Xu, Chunrui Liu
2020	A	`conf`	Mean Field Theory for Deep Dropout Networks: Digging up Gradient Backpropagation Deeply. ECAI Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao
2020	J	`jnl`	On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization. CoRR Wei Huang, Weitao Du, Richard Yi Da Xu
2019	J	`jnl`	Mean field theory for deep dropout networks: digging up gradient backpropagation deeply. CoRR Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao
2018	J	`jnl`	A Design of Two Sub-Stage Square-Root Nyquist Matched Filter. IEEE Access Ruwu Xiao, Qiying Lei, Xuan Guo, Weitao Du, Yuping Zhao
2018	J	`jnl`	Designing an Easy-to-Deploy Improved DVB-C Set-Top Boxes With a Backward Compatible Square-Root Nyquist Filter. IEEE Trans. Consumer Electron. Ruwu Xiao, Xuan Guo, Qiying Lei, Weitao Du, Yuping Zhao
2016	—	`conf`	Design of a broadband-intermediate-frequency multi-frequency shortwave signal observation system based on FPGA. ICIA Dewen Qi, Xuan Guo, Weitao Du
2015	—	`conf`	Design of digital signal spectrum analyzer based on FPGA. ICIA Dewen Qi, Xuan Guo, Weitao Du
2012	—	`conf`	A novel flexible foldable systolic architecture FIR filters generator. SoCC Hang Yin, Weitao Du, Yu Hen Hu, Rui Lv
2010	—	`conf`	A novel 3780-point FFT. WCNIS Xiaogang Yang, Weitao Du, Jingang Yu, Rui Lv, Zhanxin Yang
2010	—	`conf`	An improved feedback cancelling method for on-channel repeater. WCNIS Qunchao Feng, Yuanzhi Chen, Weitao Du