10 citations · 35 across the 39 of their papers we have counts for
11 papers · 1 filter
Point Cloud Understanding via Attention-Driven Contrastive Learning
Yi Wang, Jiaze Wang, Ziyu Guo +5
Recently Transformer-based models have advanced point cloud understanding by leveraging self-attention mechanisms, however, these methods often overlook latent information in less…
DEL-Ranking: Ranking-Correction Denoising Framework for Elucidating Molecular Affinities in DNA-Encoded Libraries
Hanqun Cao, Mutian He, Ning Ma +3
DNA-encoded library (DEL) screening has revolutionized the detection of protein-ligand interactions through read counts, enabling rapid exploration of vast chemical spaces. However…
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models
Donghao Zhou, Jiancheng Huang, Jinbin Bai +5
Text-to-image diffusion models can generate high-quality images but lack fine-grained control of visual concepts, limiting their creativity. Thus, we introduce component-controllab…
Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Libraries
Chunbin Gu, Mutian He, Hanqun Cao +3
In the realm of drug discovery, DNA-encoded library (DEL) screening technology has emerged as an efficient method for identifying high-affinity compounds. However, DEL screening fa…
SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners
Ziyu Guo, Renrui Zhang, Xiangyang Zhu +4
We introduce SAM2Point, a preliminary exploration adapting Segment Anything Model 2 (SAM 2) for zero-shot and promptable 3D segmentation. SAM2Point interprets any 3D data as a seri…
SFANet: Spatial-Frequency Attention Network for Weather Forecasting
Jiaze Wang, Hao Chen, Hongcan Xu +7
Weather forecasting plays a critical role in various sectors, driving decision-making and risk management. However, traditional methods often struggle to capture the complex dynami…
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding
Jiaze Wang, Yi Wang, Ziyu Guo +5
We introduce MM-Mixing, a multi-modal mixing alignment framework for 3D understanding. MM-Mixing applies mixing-based methods to multi-modal data, preserving and optimizing cross-m…
Unveiling the Generalization Power of Fine-Tuned Large Language Models
Haoran Yang, Yumeng Zhang, Jiaqi Xu +3
While Large Language Models (LLMs) have demonstrated exceptional multitasking abilities, fine-tuning these models on downstream, domain-specific datasets is often necessary to yiel…
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery
Yuyang Du, Kexin Chen, Yue Zhan +7
Visual question answering (VQA) is crucial for promoting surgical education. In practice, the needs of trainees are constantly evolving, such as learning more surgical types, adapt…
ChemMiner: A Large Language Model Agent System for Chemical Literature Data Mining
Kexin Chen, Yuyang Du, Junyou Li +7
The development of AI-assisted chemical synthesis tools requires comprehensive datasets covering diverse reaction types, yet current high-throughput experimental (HTE) approaches a…
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Lanqing Li, Hai Zhang, Xinyu Zhang +4
As a marriage between offline RL and meta-RL, the advent of offline meta-reinforcement learning (OMRL) has shown great promise in enabling RL agents to multi-task and quickly adapt…