5 papers
One Sequence, Many Decodings: CAGenMol-2 Recasts Drug Design as Masked Molecular Inference
Yanting Li, Enyan Dai, Lei Wang +2
Drug design couples property evaluation, conditional generation, structure-based design, and local optimization, yet machine learning systems typically address these capabilities w…
CAGenMol: Condition-Aware Diffusion Language Model for Goal-Directed Molecular Generation
Yanting Li, Zhuoyang Jiang, Enyan Dai +3
Goal-directed molecular generation requires satisfying heterogeneous constraints such as protein--ligand compatibility and multi-objective drug-like properties, yet existing method…
UGD-IML: A Unified Generative Diffusion-based Framework for Constrained and Unconstrained Image Manipulation Localization
Yachun Mi, Xingyang He, Shixin Sun +6
In the digital age, advanced image editing tools pose a serious threat to the integrity of visual content, making image forgery detection and localization a key research focus. Mos…
Q-CLIP: Unleashing the Power of Vision-Language Models for Video Quality Assessment through Unified Cross-Modal Adaptation
Yachun Mi, Yu Li, Yanting Li +6
Accurate and efficient Video Quality Assessment (VQA) has long been a key research challenge. Current mainstream VQA methods typically improve performance by pretraining on large-s…
DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design
Yanting Li, Jiyue Jiang, Zikang Wang +11
Inverse Protein Folding (IPF) is a critical subtask in the field of protein design, aiming to engineer amino acid sequences capable of folding correctly into a specified three-dime…