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Publication search results
found 103 matches
- 2024
- Xuejiao Wang, Tingfang Wu, Yelu Jiang, Taoning Chen, Deng Pan, Zhi Jin, Jingxin Xie, Lijun Quan, Qiang Lyu:
RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding. Bioinform. 40(1) (2024) - Tingfang Wu, Luis Valencia-Cabrera, Mario J. Pérez-Jiménez, Linqiang Pan:
Spiking neural P systems with mute rules. Inf. Comput. 299: 105179 (2024) - Junkai Wang, Lijun Quan, Zhi Jin, Hongjie Wu, Xuhao Ma, Xuejiao Wang, Jingxin Xie, Deng Pan, Taoning Chen, Tingfang Wu, Qiang Lyu:
MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction. IEEE J. Biomed. Health Informatics 28(8): 4995-5006 (2024) - Hui-Shan Lo, Ting-Fang Wu, Jon-Chao Hong:
The Correlation Among the Intelligence, Visual-Motor Skills and Virtual Reality Operation Performance of Students with Intellectual Disabilities. ICCHP (2) 2024: 249-256 - Ting-Fang Wu, Hui-Shan Lo, Tien-Chi Huang, Jon-Chao Hong:
The Intention of Professionals to Use Extended Reality to Train Vocational Skills for Persons with Intellectual Disabilities. ICCHP (2) 2024: 385-392 - Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets:
What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments? ICRA 2024: 17515-17521 - Julia Di, Zdravko Dugonjic, Will Fu, Tingfan Wu, Romeo Mercado, Kevin Sawyer, Victoria Rose Most, Gregg Kammerer, Stefanie Speidel, Richard E. Fan, Geoffrey A. Sonn, Mark R. Cutkosky, Mike Lambeta, Roberto Calandra:
Using Fiber Optic Bundles to Miniaturize Vision-Based Tactile Sensors. CoRR abs/2403.05500 (2024) - 2023
- Zhi Jin, Tingfang Wu, Taoning Chen, Deng Pan, Xuejiao Wang, Jingxin Xie, Lijun Quan, Qiang Lyu:
CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism. Bioinform. 39(2) (2023) - Kailong Li, Lijun Quan, Yelu Jiang, Hongjie Wu, Jian Wu, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu:
Simultaneous Prediction of Interaction Sites on the Protein and Peptide Sides of Complexes through Multilayer Graph Convolutional Networks. J. Chem. Inf. Model. 63(7): 2251-2262 (2023) - Jingxin Xie, Lijun Quan, Xuejiao Wang, Hongjie Wu, Zhi Jin, Deng Pan, Taoning Chen, Tingfang Wu, Qiang Lyu:
DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features. J. Chem. Inf. Model. 63(22): 7258-7271 (2023) - Taoning Chen, Tingfang Wu, Deng Pan, Jinxing Xie, Jin Zhi, Xuejiao Wang, Lijun Quan, Qiang Lyu:
TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3623-3634 (2023) - Yelu Jiang, Lijun Quan, Kailong Li, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu:
DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 2089-2100 (2023) - Kailong Li, Lijun Quan, Yelu Jiang, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu:
ctP2ISP: Protein-Protein Interaction Sites Prediction Using Convolution and Transformer With Data Augmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 297-306 (2023) - Lijun Quan, Xiaomin Chu, Xiaoyu Sun, Tingfang Wu, Qiang Lyu:
How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1594-1599 (2023) - Suxia Jiang, Bowen Xu, Tao Liang, Xiaoliang Zhu, Tingfang Wu:
Numerical spiking neural P systems with production functions on synapses. Theor. Comput. Sci. 940(Part): 80-89 (2023) - Tingfang Wu, Linqiang Pan:
Spiking Neural P Systems With Communication on Request and Mute Rules. IEEE Trans. Parallel Distributed Syst. 34(2): 734-745 (2023) - Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier:
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? NeurIPS 2023 - Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets:
What do we learn from a large-scale study of pre-trained visual representations in sim and real environments? CoRR abs/2310.02219 (2023) - Yansheng Wu, Cunsheng Ding, Tingfang Chen:
Extended codes and deep holes of MDS codes. CoRR abs/2312.05534 (2023) - Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam:
Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation. CoRR abs/2312.13469 (2023) - 2022
- Yan Li, Lijun Quan, Yiting Zhou, Yelu Jiang, Kailong Li, Tingfang Wu, Qiang Lyu:
Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence. Bioinform. 38(17): 4070-4077 (2022) - Liangpeng Nie, Lijun Quan, Tingfang Wu, Ruji He, Qiang Lyu:
TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features. Bioinform. 38(10): 2705-2711 (2022) - Tingfang Wu, Ferrante Neri, Linqiang Pan:
On the Tuning of the Computation Capability of Spiking Neural Membrane Systems with Communication on Request. Int. J. Neural Syst. 32(8): 2250037:1-2250037:12 (2022) - Tingfang Wu, Luping Zhang, Qiang Lyu, Yu Jin:
Asynchronous spiking neural P systems with local synchronization of rules. Inf. Sci. 588: 1-12 (2022) - Deng Pan, Lijun Quan, Zhi Jin, Taoning Chen, Xuejiao Wang, Jingxin Xie, Tingfang Wu, Qiang Lyu:
Multisource Attention-Mechanism-Based Encoder-Decoder Model for Predicting Drug-Drug Interaction Events. J. Chem. Inf. Model. 62(23): 6258-6270 (2022) - 2021
- Tingfang Wu, Qiang Lyu, Linqiang Pan:
Evolution-Communication Spiking Neural P Systems. Int. J. Neural Syst. 31(2): 2050064:1-2050064:18 (2021) - Tingfang Wu, Suxia Jiang:
Spiking neural P systems with a flat maximally parallel use of rules. J. Membr. Comput. 3(3): 221-231 (2021) - Tingfang Wu, Luping Zhang, Linqiang Pan:
Spiking neural P systems with target indications. Theor. Comput. Sci. 862: 250-261 (2021) - Tingfang Wu, Linqiang Pan, Qiang Yu, Kay Chen Tan:
Numerical Spiking Neural P Systems. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2443-2457 (2021) - 2020
- Tingfang Wu, Linqiang Pan:
The computation power of spiking neural P systems with polarizations adopting sequential mode induced by minimum spike number. Neurocomputing 401: 392-404 (2020)
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