Papers
BugSweeper: Function-Level Detection of Smart Contract Vulnerabilities Using Graph Neural Networks
Uisang Lee, Changhoon Chung, Junmo Lee et al.
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali et al.
OneFont: A Unified Agent for End-to-End Font Creation
Yingxin Lai, Yufei Liu, Guoqing Yang et al.
RLSLM: A Hybrid Framework Combining Reinforcement Learning and a Rule-based Social Locomotion Model for Socially-aware Navigation
Yitian Kou, Yihe Gu, Chen Zhou et al.
Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation
Rikuto Kotoge, Ziwei Yang, Zheng Chen et al.
SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels
Noam Koren, Ralf J. J. Mackenbach, Ruud J. G. van Sloun et al.
Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability
Yulin Jin, Xiaoyu Zhang, Haoyu Tong et al.
FinRpt: Dataset, Evaluation System and LLM-based Multi-agent Framework for Equity Research Report Generation
Song Jin, Shuqi Li, Shukun Zhang et al.
Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks
Dian Jin, Yancheng Yuan, Xiaoming Tao
RMSAGen: Integrating Multiple Sequence Alignment for Function RNA Design
Jiyue Jiang, Yanyu Chen, Qingchuan Zhang et al.
HyperLoad: A Cross-Modality Enhanced Large Language Model-Based Framework for Green Data Center Cooling Load Prediction
Haoyu Jiang, Boan Qu, Junjie Zhu et al.
Uncovering and Mitigating Destructive Multi-Embedding Attacks in Deepfake Proactive Forensics
Lixin Jia, Haiyang Sun, Zhiqing Guo et al.
Controllable Financial Market Generation with Diffusion Guided Meta Agent
Yu-Hao Huang, Chang Xu, Yang Liu et al.
PanFoMa: A Lightweight Foundation Model and Benchmark for Pan-Cancer
Xiaoshui Huang, Tianlin Zhu, Yifan Zuo et al.
Dynamic Geometric Equivariant Network for Full-Atom Antibody Design
Weihong Huang, Feng Yang, Qiang Zhang et al.
TIDE: Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation
Victor Shea-Jay Huang, Le Zhuo, Yi Xin et al.
Towards Distance-Invariant Radio Frequency Fingerprinting via Augmented Unsupervised Learning
Shiyue Huang, Yuchen Su, Hongbo Liu et al.
Revisiting the Canonicalization for Fast and Accurate Crystal Tensor Property Prediction
Haowei Hua, Jingwen Yang, Wanyu Lin et al.
Transolver Is a Linear Transformer: Revisiting Physics-Attention Through the Lens of Linear Attention
Wenjie Hu, Sidun Liu, Peng Qiao et al.
VoiceCloak: A Multi-Dimensional Defense Framework Against Unauthorized Diffusion-Based Voice Cloning
Qianyue Hu, Junyan Wu, Wei Lu et al.
Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling
Jingren Hou, Hong Wang, Pengyu Xu et al.
Directing Uncertainty-Aware Information Flow for Robust Diffusion Prediction
Weikang He, Yunpeng Xiao, Mengyang Huang et al.
Transferable Hypergraph Attack via Injecting Nodes into Pivotal Hyperedges
Meixia He, Peican Zhu, Le Cheng et al.
FACTGUARD: Event-Centric and Commonsense-Guided Fake News Detection
Jing He, Han Zhang, Yuanhui Xiao et al.
S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening
Bowei He, Bowen Gao, Yankai Chen et al.