| 2025 | ExpTalk: Diverse Emotional Expression via Adaptive Disentanglement and Refined Alignment for Speech-Driven 3D Facial Animation. | Zhan Qu, Shengyu Zhang, Mengze Li, Zhuo Chen, Chengfei Lv, Zhou Zhao, Fei Wu |
| 2025 | EfficientPIE: Real-Time Prediction on Pedestrian Crossing Intention with Sole Observation. | Fang Qu, Pengzhan Zhou, Yuepeng He, Kaixin Gao, Youyu Luo, Xin Feng, Yu Liu, Songtao Guo |
| 2025 | Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance. | Mingcheng Qu, Guang Yang, Donglin Di, Tonghua Su, Yue Gao, Yang Song, Lei Fan |
| 2025 | Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization. | Zhuang Qi, Sijin Zhou, Lei Meng, Han Hu, Han Yu, Xiangxu Meng |
| 2025 | Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling. | Rui Qin, Qijie Wang, Ming Sun, Haowei Zhu, Chao Zhou, Bin Wang |
| 2025 | DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification. | Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock |
| 2025 | HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification. | Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock |
| 2025 | MsRAG: Knowledge Augumented Image Captioning with Object-level Multi-source RAG. | Yuming Qiao, Yuechen Wang, Dan Meng, Haonan Lu, Zhenyu Yang, Xudong Zhang |
| 2025 | Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint. | Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock |
| 2025 | Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling. | Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Zaisheng Ye |
| 2025 | Human Activity Recognition in an Open World (Abstract Reprint). | Derek S. Prijatelj, Samuel Grieggs, Jin Huang, Dawei Du, Ameya Shringi, Christopher Funk, Adam Kaufman, Eric Robertson, Walter J. Scheirer |
| 2025 | New Sequence-Independent Lifting Techniques for Cover Inequalities and When They Induce Facets. | Siddharth Prasad, Ellen Vitercik, Maria-Florina Balcan, Tuomas Sandholm |
| 2025 | Abstraction Heuristics for Classical Planning Tasks with Conditional Effects. | Martn Pozo, Jendrik Seipp |
| 2025 | Heterophily-Aware Personalized PageRank for Node Classification. | Giuseppe Pirr |
| 2025 | NovPhy: A Physical Reasoning Benchmark for Open-World AI Systems Author Links Open Overlay Panel (Abstract Reprint). | Vimukthini Pinto, Chathura Nagoda Gamage, Cheng Xue, Peng Zhang, Ekaterina Nikonova, Matthew Stephenson, Jochen Renz |
| 2025 | TRIKOP: Exploring Visual Prompting Paradigms for Multi-Grade Knee Osteoarthritis Classification on MRI Images. | Hieu Phan, Hung Pham, Dat Nguyen, Khoa Le, Tuan Nguyen, Triet Tran, Tho Quan |
| 2025 | The Core of Approval-Based Committee Elections with Few Seats. | Dominik Peters |
| 2025 | Multi-Agent Corridor Generating Algorithm. | Arseni Pertzovskiy, Roni Stern, Roie Zivan, Ariel Felner |
| 2025 | An Approach to Quantify Plans Robustness in Real-world Applications. | Francesco Percassi, Sandra Castellanos-Paez, Romain Rombourg, Mauro Vallati |
| 2025 | EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR. | Zhengyuan Peng, Jianqing Xu, Shen Li, Jiazhen Ji, Yuge Huang, Jingyun Zhang, Jinmin Li, Shouhong Ding, Rizen Guo, Xin Tan, Lizhuang Ma |
| 2025 | Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm. | Jiangjun Peng, Hailin Wang, Xiangyong Cao, Shuang Xu |
| 2025 | T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction. | Kun Peng, Chaodong Tong, Cong Cao, Hao Peng, Qian Li, Guanlin Wu, Lei Jiang, Yanbing Liu, Philip S. Yu |
| 2025 | Stabilizing Holistic Semantics in Diffusion Bridge for Image Inpainting. | Jinjia Peng, Mengkai Li, Huibing Wang |
| 2025 | Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm. | Jiangjun Peng, Yisi Luo, Xiangyong Cao, Shuang Xu, Deyu Meng |
| 2025 | Multi Objective Quantile Based Reinforcement Learning for Modern Urban Planning. | Lukasz Pelcner, Leandro Soriano Marcolino, Matheus Aparecido do Carmo Alves, Paula A. Harrison, Peter M. Atkinson |