| 2025 | Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks? | Zhongjian Zhang, Xiao Wang, Huichi Zhou, Yue Yu, Mengmei Zhang, Cheng Yang, Chuan Shi |
| 2025 | GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems. | Sheng Zhang, Maolin Wang, Wanyu Wang, Jingtong Gao, Xiangyu Zhao, Yu Yang, Xuetao Wei, Zitao Liu, Tong Xu |
| 2025 | IVMR suite: An Industrial-scale Virtual Machine Rescheduling Dataset and Benchmark for Elastic Cloud Service. | Yupeng Zhang, Xu Wan, Xiangyun Kong, Chao Yang, Binda Ma, Wotao Yin, Jian Zhou |
| 2025 | Shapley Value-driven Data Pruning for Recommender Systems. | Yansen Zhang, Xiaokun Zhang, Ziqiang Cui, Chen Ma |
| 2025 | Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation. | Zhaoyang Zhang, Ziqi Chen, Qiao Liu, Jinhan Xie, Hongtu Zhu |
| 2025 | Unsupervised Graph Clustering with Deep Structural Entropy. | Jingyun Zhang, Hao Peng, Li Sun, Guanlin Wu, Chunyang Liu, Zhengtao Yu |
| 2025 | AI and Science Day. | Aidong Zhang, Vipin Kumar, Yan Liu |
| 2025 | Data Watermarking for Sequential Recommender Systems. | Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin |
| 2025 | Diffusion-Guided Diversity for Single Domain Generalization in Time Series Classification. | Junru Zhang, Lang Feng, Xu Guo, Han Yu, Yabo Dong, Duanqing Xu |
| 2025 | Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination. | Daniel Zhang-Li, Zheyuan Zhang, Jifan Yu, Joy Lim Jia Yin, Shangqing Tu, Linlu Gong, Haohua Wang, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li |
| 2025 | Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation. | Chenhao Zhai, Chang Meng, Yu Yang, Kexin Zhang, Xuhao Zhao, Xiu Li |
| 2025 | Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video Understanding. | Tong Zeng, Longfeng Wu, Liang Shi, Dawei Zhou, Feng Guo |
| 2025 | Robustness Evaluation of Graph-based News Detection Using Network Structural Information. | Xianghua Zeng, Hao Peng, Angsheng Li |
| 2025 | Non-Homophilic Graph Pre-Training and Prompt Learning. | Xingtong Yu, Jie Zhang, Yuan Fang, Renhe Jiang |
| 2025 | BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation. | Haiyang Yu, Tian Xie, Jiaping Gui, Pengyang Wang, Pengzhou Cheng, Ping Yi, Yue Wu |
| 2025 | Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features. | Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park |
| 2025 | A Survey on Trustworthy LLM Agents: Threats and Countermeasures. | Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen |
| 2025 | Instruction Semantics Enhanced Dual-Flow Graph Model for GPU Error Resilience Prediction. | Pengfei Yu, Jingjing Gu, Dazhong Shen, Xin Dong, Yang Liu, Hui Xiong |
| 2025 | Preference-Optimized Retrieval and Ranking for Efficient Multimodal Recommendation. | Zhenrui Yue, Huimin Zeng, Yueqi Wang, Julian J. McAuley, Dong Wang |
| 2025 | A Structure-aware Invariant Learning Framework for Node-level Graph OOD Generalization. | Ruiwen Yuan, Yongqiang Tang, Wensheng Zhang |
| 2025 | Annotation-guided Protein Design with Multi-Level Domain Alignment. | Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong |
| 2025 | Boosting Explainability through Selective Rationalization in Pre-trained Language Models. | Libing Yuan, Shuaibo Hu, Kui Yu, Le Wu |
| 2025 | Hardness-aware Privileged Features Distillation with Latent Alignment for CVR Prediction. | Huining Yuan, Wenpeng Zhang, Zijie Hao, Zengde Deng |
| 2025 | Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates. | Chengqing Yu, Fei Wang, Chuanguang Yang, Zezhi Shao, Tao Sun, Tangwen Qian, Wei Wei, Zhulin An, Yongjun Xu |
| 2025 | GCoT: Chain-of-Thought Prompt Learning for Graphs. | Xingtong Yu, Chang Zhou, Zhongwei Kuai, Xinming Zhang, Yuan Fang |