51 citations
- University of OxfordGB2 papers
- University of SurreyGB2 papers
- Ant Group (China)CN1 paper
- Huazhong University of Science and TechnologyCN1 paper
- IBM (United States)US1 paper
- Institute of AutomationCN1 paper
- North Carolina State UniversityUS1 paper
- Peking UniversityCN1 paper
- Southern University of Science and TechnologyCN1 paper
- The University of Western AustraliaAU1 paper
- Tsinghua UniversityCN1 paper
- University of California, Santa BarbaraUS1 paper
8 papers
Accelerating Antimicrobial Peptide Discovery with Latent Structure
Danqing Wang, Zeyu Wen, Fei Ye +2
Antimicrobial peptides (AMPs) are promising therapeutic approaches against drug-resistant pathogens. Recently, deep generative models are used to discover new AMPs. However, previo…
Ontology-aware Learning and Evaluation for Audio Tagging
Haohe Liu, Qiuqiang Kong, Xubo Liu +3
This study defines a new evaluation metric for audio tagging tasks to overcome the limitation of the conventional mean average precision (mAP) metric, which treats different kinds…
Orbital Expansion Variational Quantum Eigensolver: Enabling Efficient Simulation of Molecules with Shallow Quantum Circuit
Yusen Wu, Zigeng Huang, Jinzhao Sun +3
In the noisy-intermediate-scale-quantum era, Variational Quantum Eigensolver (VQE) is a promising method to study ground state properties in quantum chemistry, materials science, a…
Personalized Dialogue Generation with Persona-Adaptive Attention
Qiushi Huang, Yu Zhang, Tom Ko +4
Persona-based dialogue systems aim to generate consistent responses based on historical context and predefined persona. Unlike conventional dialogue generation, the persona-based d…
Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning
Nan Xue, Tianfu Wu, Song Bai +4
This article presents Holistically-Attracted Wireframe Parsing (HAWP), a method for geometric analysis of 2D images containing wireframes formed by line segments and junctions. HAW…
Linker Code Size Optimization for Native Mobile Applications
Gai Liu, Umar Farooq, Chengyan Zhao +2
Modern mobile applications have grown rapidly in binary size, which restricts user growth and hinders updates for existing users. Thus, reducing the binary size is important for ap…