| 2025 | Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion. | Anjali de Silva, Gang Chen, Hui Ma, Seyed Mohammad Nekooei, Xingquan Zuo |
| 2025 | NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines. | Chathurangi Shyalika, Renjith Prasad, Fadi El Kalach, Revathy Venkataramanan, Ramtin Zand, Ramy F. Harik, Amit P. Sheth |
| 2025 | MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction. | Zishan Shu, Yufan Deng, Hongyu Zhang, Zhiwei Nie, Jie Chen |
| 2025 | GSDNet: Revisiting Incomplete Multimodality-Diffusion Emotion Recognition from the Perspective of Graph Spectrum. | Yuntao Shou, Jun Yao, Tao Meng, Wei Ai, Cen Chen, Keqin Li |
| 2025 | X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning. | Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata |
| 2025 | SynthRL: Cross-domain Synthesizer Sound Matching via Reinforcement Learning. | Wonchul Shin, Kyogu Lee |
| 2025 | BankTweak: Adversarial Attack Against Multi-Object Trackers by Manipulating Feature Banks. | Woojin Shin, Donghwa Kang, Daejin Choi, Brent ByungHoon Kang, Jinkyu Lee, Hyeongboo Baek |
| 2025 | MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition. | Jiandong Shi, Ming Li, Lu Bai, Feilong Cao, Ke Lu, Jiye Liang |
| 2025 | CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantification. | Jimeng Shi, Bowen Jin, Jiawei Han, Sundararaman Gopalakrishnan, Giri Narasimhan |
| 2025 | Solving QNP and FOND+ with Generating, Testing and Forbidding. | Zheyuan Shi, Hao Dong, Yongmei Liu |
| 2025 | RDPA: Real-Time Distributed-Concentrated Penetration Attack for Point Cloud Learning. | Youtong Shi, Lixin Chen, Yu Zang, Chenhui Yang, Cheng Wang |
| 2025 | Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning. | Ruxue Shi, Hengrui Gu, Hangting Ye, Yiwei Dai, Xu Shen, Xin Wang |
| 2025 | AI4TRT: Automatic Simulation of Teeth Restoration Treatment. | Feihong Shen, Yuer Ye |
| 2025 | PDDFormer: Pairwise Distance Distribution Graph Transformer for Crystal Material Property Prediction. | Xiangxiang Shen, Zheng Wan, Lingfeng Wen, Licheng Sun, Jian Yang, Xuan Tang, Shing-Ho J. Lin, Xiao He, Mingsong Chen, Xian Wei |
| 2025 | SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework. | Xicong Shen, Yang Liu, Yi Liu, Peiran Wang, Huiqi Liu, Jue Hong, Bing Duan, Zirui Huang, Yunlong Mao, Ye Wu, Sheng Zhong |
| 2025 | HGEN: Heterogeneous Graph Ensemble Networks. | Jiajun Shen, Yufei Jin, Kaibu Feng, Yi He, Xingquan Zhu |
| 2025 | Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction. | Zhi Sheng, Daisy Yuan, Jingtao Ding, Qi Yan, Xi Zheng, Yue Sun, Yong Li |
| 2025 | Multimodal Retina Image Analysis Survey: Datasets, Tasks and Methods. | Hongwei Sheng, Heming Du, Xin Shen, Sen Wang, Xin Yu |
| 2025 | GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy. | Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang |
| 2025 | Synthesizing Composite Hierarchical Structure from Symbolic Music Corpora. | Ilana Shapiro, Ruanqianqian (Lisa) Huang, Zachary Novack, Cheng-i Wang, Hao-Wen Dong, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Sorin Lerner |
| 2025 | In-Context Meta LoRA Generation. | Yihua Shao, Minxi Yan, Yang Liu, Siyu Chen, Wenjie Chen, Xinwei Long, Ziyang Yan, Lei Li, Chenyu Zhang, Nicu Sebe, Hao Tang, Yan Wang, Hao Zhao, Mengzhu Wang, Jingcai Guo |
| 2025 | Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models. | Jie-Jing Shao, Hong-Jie You, Guohao Cai, Quanyu Dai, Zhenhua Dong, Lan-Zhe Guo |
| 2025 | QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer. | Yimiao Shao, Wenzhong Li, Kang Xia, Kaijie Lin, Mingkai Lin, Sanglu Lu |
| 2025 | BinMetric: A Comprehensive Binary Code Analysis Benchmark for Large Language Models. | Xiuwei Shang, Guoqiang Chen, Shaoyin Cheng, Benlong Wu, Li Hu, Gangyang Li, Weiming Zhang, Nenghai Yu |
| 2025 | GRAML: Goal Recognition As Metric Learning. | Matan Shamir, Reuth Mirsky |