Papers
Diffusion-aware Censored Gaussian Processes for Demand Modelling
Filipe Rodrigues
Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation
Xuan Rao, Shuo Shang, Lisi Chen et al.
Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline
Minwoo Oh, Minsu Park, Eunil Park
Think Twice Before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation
Hong-Hanh Nguyen-Le, Van-Tuan Tran, Dinh-Thuc Nguyen et al.
Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering
Dung Nguyen, Minh Khoi Ho, Huy Ta et al.
Adaptive Wizard for Removing Cross-Tier Misconfigurations in Active Directory
Huy Q. Ngo, Mingyu Guo, Hung X. Nguyen
InnateCoder: Learning Programmatic Options with Foundation Models
Rubens O. Moraes, Quazi Asif Sadmine, Hendrik Baier et al.
Fine-Grained and Efficient Self-Unlearning with Layered Iteration
Hongyi Lyu, Xuyun Zhang, Hongsheng Hu et al.
MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving
Yichen Luo, Jia Wang, Dapeng Lan et al.
LPDetective: Dusting the LLM Chats for Prompt Template Abusers
Yang Luo, Qingni Shen, Zhonghai Wu
MA-RAG: Automating Role Engineering for RESTful APIs with Multi-Head Attention and Retrieval-Augmented Generation
Yang Luo, Qingni Shen, Zhonghai Wu
Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training
Xiaoling Luo, Peng Chen, Chengliang Liu et al.
FBQuant: FeedBack Quantization for Large Language Models
Yijiang Liu, Hengyu Fang, Liulu He et al.
Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANs
Weixing Liu, Shenghua Zhong
Asset Pricing with Contrastive Adversarial Variational Bayes
Ruirui Liu, Huichou Huang, Johannes Ruf
Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations
Jiaqi Liu, Jiaxu Cui, Shiang Sun et al.
Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning
Xuan Lin, Qingrui Liu, Hongxin Xiang et al.
PAMol: Pocket-Aware Drug Design Method with Hypergraph Representation of Protein Pocket Structure and Feature Fusion
Xiaoli Lin, Xiongwei Liao, Jun Pang et al.
KnowMDD: Knowledge-guided Cross Contrastive Learning for Major Depressive Disorder Diagnosis
Anchen Lin, Weikun Wang, Haijun Han et al.
COGRASP: Co-Occurrence Graph Based Stock Price Forecasting
Zhengze Li, Zilin Song, Tingting Yuan et al.
MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction
Xuqiang Li, Wenjie Du, Jun Xia et al.
RetroMoE: A Mixture-of-Experts Latent Translation Framework for Single-step Retrosynthesis
Xinjie Li, Abhinav Verma
AlphaGAT: A Two-Stage Learning Approach for Adaptive Portfolio Selection
Shicheng Li, Jinshan Zhang, Feng Wang
DASS: A Dual-Branch Attention-based Framework for Trajectory Similarity Learning with Spatial and Semantic Fusion
Jiayi Li, Junhua Fang, Pingfu Chao et al.