Papers
Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning
Saugat Adhikari, Da Yan, Tianyang Wang et al.
FLARE: A Framework for Stellar Flare Forecasting Using Stellar Physical Properties and Historical Records
Bingke Zhu, Xiaoxiao Wang, Minghui Jia et al.
Transformer-based Reinforcement Learning for Net Ordering in Detailed Routing
Zhanwen Zhou, Hankz Hankui Zhuo, Jinghua Zhou et al.
Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning
Wenyi Zhang, Renjun Jia, Yanhao Wang et al.
Revisiting Continual Ultra-fine-grained Visual Recognition with Pre-trained Models
Pengcheng Zhang, Xiaohan Yu, Meiying Gu et al.
SSPNet: Leveraging Robust Medication Recommendation with History and Knowledge
Haodi Zhang, Jiawei Wen, Jiahong Li et al.
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks
Han Zhang, Yan Wang, Guanfeng Liu et al.
Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Space
Yinghua Yao, Yuangang Pan, Xixian Chen
HygMap: Representing All Types of Map Entities via Heterogeneous Hypergraph
Yifan Yang, Jingyuan Wang, Xie Yu et al.
KGCL: Knowledge-Enhanced Graph Contrastive Learning for Retrosynthesis Prediction Based on Molecular Graph Editing
Fengqin Yang, Dekui Zhao, Haoxuan Qiu et al.
Generating Grounded Responses to Counter Misinformation via Learning Efficient Fine-Grained Critiques
Xiaofei Xu, Xiuzhen Zhang, Ke Deng
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contributions for Molecular Odor Prediction
Hongxin Xie, Jiande Sun, Fanfu Xue et al.
SpaceDet: A Large-scale Space-based Image Dataset and RSO Detection for Space Situational Awareness
Jiaping Xiao, Rangya Zhang, Yuhang Zhang et al.
Learning Dynamical Coupled Operator For High-dimensional Black-box Partial Differential Equations
Yichi Wang, Tian Huang, Dandan Huang et al.
Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis
Satyavrat Wagle, Akshay Malhotra, Shahab Hamidi-Rad et al.
DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing
Lo Pang-Yun Ting, Yu-Hao Chiang, Yi-Tung Tsai et al.
Map2Traj: Street Map Piloted Zero-shot Trajectory Generation Method for Wireless Network Optimization
Zhenyu Tao, Wei Xu, Xiaohu You
CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation
Yuki Tanaka, Ryuji Hashimoto, Takehiro Takayanagi et al.
Horae: A Domain-Agnostic Language for Automated Service Regulation
Yutao Sun, Mingshuai Chen, Tiancheng Zhao et al.
COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement
Zhihao Sui, Liang Hu, Jian Cao et al.
NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines
Chathurangi Shyalika, Renjith Prasad, Fadi El Kalach et al.
AI4TRT: Automatic Simulation of Teeth Restoration Treatment
Feihong Shen, Yuer Ye
MolHFCNet: Enhancing Molecular Graph Representations with Hierarchical Feature Combining and Hybrid Pretraining
Duy-Long Nguyen, Duc-Luong Ho-Viet, Anh-Thu Ngo-Tran et al.
AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts
Maruf Ahmed Mridul, Ian Sloyan, Aparna Gupta et al.
The Graph’s Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation
Reza Moravej, Saurabh Bodhe, Zhanguang Zhang et al.