| 2025 | Community-Aware Graph Transformer for Brain Disorder Identification. | Shengbing Pei, Jiajun Ma, Zhao Lv, Chao Zhang, Jihong Guan |
| 2025 | LiBOG: Lifelong Learning for Black-Box Optimizer Generation. | Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang |
| 2025 | Human-AI Coevolution (Abstract Reprint). | Dino Pedreschi, Luca Pappalardo, Emanuele Ferragina, Ricardo Baeza-Yates, Albert-Lszl Barabsi, Frank Dignum, Virginia Dignum, Tina Eliassi-Rad, Fosca Giannotti, Jnos Kertsz, Alistair Knott, Yannis E. Ioannidis, Paul Lukowicz, Andrea Passarella, Alex 'Sandy' Pentland, John Shawe-Taylor, Alessandro Vespignani |
| 2025 | Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information. | Seungcheol Park, Sojin Lee, Jongjin Kim, Jinsik Lee, Hyunjik Jo, U Kang |
| 2025 | Dynamic Higher-Order Relations and Event-Driven Temporal Modeling for Stock Price Forecasting. | Kijeong Park, Sungchul Hong, Jong-June Jeon |
| 2025 | Democracy as a Scaled Collective Intelligence Process: Points of Vulnerability and Augmentation. | Marc-Antoine Parent |
| 2025 | Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach. | Huazi Pan, Yanjun Zhang, Leo Yu Zhang, Scott D. Adams, Abbas Z. Kouzani, Suiyang Khoo |
| 2025 | Preference-based Deep Reinforcement Learning for Historical Route Estimation. | Boshen Pan, Yaoxin Wu, Zhiguang Cao, Yaqing Hou, Guangyu Zou, Qiang Zhang |
| 2025 | An Efficient Core-Guided Solver for Weighted Partial MaxSAT. | Shiwei Pan, Yiyuan Wang, Shaowei Cai |
| 2025 | LLM-TPF: Multiscale Temporal Periodicity-Semantic Fusion LLMs for Time Series Forecasting. | Qihong Pan, Haofei Tan, Guojiang Shen, Xiangjie Kong, Mengmeng Wang, Chenyang Xu |
| 2025 | Multi-granularity Knowledge Transfer for Continual Reinforcement Learning. | Chaofan Pan, Lingfei Ren, Yihui Feng, Linbo Xiong, Wei Wei, Yonghao Li, Xin Yang |
| 2025 | Fast Explanations via Policy Gradient-Optimized Explainer. | Deng Pan, Nuno Moniz, Nitesh V. Chawla |
| 2025 | Stability and Generalization for Stochastic (Compositional) Optimizations. | Xiaokang Pan, Jin Liu, Hulin Kuang, Youqi Li, Lixing Chen, Zhe Qu |
| 2025 | SMILE: A Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis. | Liangrui Pan, Xiaoyu Li, Yutao Dou, Qiya Song, Jiadi Luo, Qingchun Liang, Shaoliang Peng |
| 2025 | CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments. | Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh |
| 2025 | Guiding Large Language Models in Modeling Optimization Problems via Question Partitioning. | Xiaotian Pan, Junhao Fang, Feng Wu, Sijia Zhang, Yixiang Hu, Shaoang Li, Xiangyang Li |
| 2025 | SALE-MLP: Structure Aware Latent Embeddings for GNN to Graph-free MLP Distillation. | Harsh Pal, Sarthak Malik, Rajat Patel, Aakarsh Malhotra |
| 2025 | A First Runtime Analysis of NSGA-III on a Many-Objective Multimodal Problem: Provable Exponential Speedup via Stochastic Population Update. | Andre Opris |
| 2025 | Grounding Methods for Neural-Symbolic AI. | Rodrigo Castellano Ontiveros, Francesco Giannini, Marco Gori, Giuseppe Marra, Michelangelo Diligenti |
| 2025 | Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline. | Minwoo Oh, Minsu Park, Eunil Park |
| 2025 | Comprehensive Review of Neural Differential Equations for Time Series Analysis. | YongKyung Oh, Seungsu Kam, Jonghun Lee, Dong-Young Lim, Sungil Kim, Alex A. T. Bui |
| 2025 | A Semantic Framework for Neurosymbolic Computation (Abstract Reprint). | Simon Odense, Artur S. d'Avila Garcez |
| 2025 | Rewarding Explainability in Drug Repurposing with Knowledge Graphs. | Susana Nunes, Samy Badreddine, Catia Pesquita |
| 2025 | Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts. | Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang |
| 2025 | Rethinking Graph Contrastive Learning Through Relative Similarity Preservation. | Zhiyuan Ning, Pengfei Wang, Ziyue Qiao, Pengyang Wang, Yuanchun Zhou |