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Feng Tan

3 accepted papers

2026

MMCP-GEN: A Modality-Extensible Diffusion Language Model for Conditional Protein Sequence Generation

CVPR 2026

Recent advances in diffusion-based language models (DLMs) have shown remarkable potential for de novo protein design. However, enabling controllable protein generation requires integrating diverse biological conditions, such as structure, functions, and chemical interactions, each represented in dis

Cited by 0SourceScholar
2025

NanoGen: A High-affinity Nanobody Generation Model with Guided Diffusion

ICASSP 2025accepted

Nanobodies are promising therapeutic agents due to their superior biological properties. Given the importance of binding affinity, a computational model capable of generating high-affinity nanobodies can significantly accelerate the design process. However, two key challenges remain: 1) integrating…

Cited by 0SourceScholar
2022

CDX-NET: Cross-Domain Multi-Feature Fusion Modeling Via Deep Neural Networks for Multivariate Time Series Forecasting in AIOps

ICASSP 2022accepted

In the application of Artificial Intelligence for IT Operations (AIOps), monitoring data are usually modeled as MTS (Multivariate Time Series). The prediction of MTS has been widely studied and various models, including statistic algorithms and deep learning networks, have been proposed, which attem…

Cited by 0SourceScholar