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| 2025 | Model Rake: A Defense Against Stealing Attacks in Split Learning. | Qinbo Zhang, Xiao Yan, Yanfeng Zhao, Fangcheng Fu, Quanqing Xu, Yukai Ding, Xiaokai Zhou, Chuang Hu, Jiawei Jiang |
| 2025 | Counterfactual Thinking Driven Emotion Regulation for Image Sentiment Recognition. | Xinyue Zhang, Zhaoxia Wang, Hailing Wang, Guitao Cao |
| 2025 | Revisiting Continual Ultra-fine-grained Visual Recognition with Pre-trained Models. | Pengcheng Zhang, Xiaohan Yu, Meiying Gu, Yuchen Wu, Yongsheng Gao, Xiao Bai |
| 2025 | Efficient Visual Representation Learning with Heat Conduction Equation. | Zhemin Zhang, Xun Gong |
| 2025 | Accelerating Adversarial Training on Under-Utilized GPU. | Zhuoxin Zhan, Ke Wang, Pulei Xiong |
| 2025 | Device-Cloud Collaborative Correction for On-Device Recommendation. | Tianyu Zhan, Shengyu Zhang, Zheqi Lv, Jieming Zhu, Jiwei Li, Fan Wu, Fei Wu |
| 2025 | Inferring Causal Protein Signaling Networks with Reinforcement Learning via Artificial Bee Colony Neural Architecture Search. | Jihao Zhai, Junzhong Ji, Jinduo Liu |
| 2025 | How to Enable LLM with 3D Capacity? A Survey of Spatial Reasoning in LLM. | Jirong Zha, Yuxuan Fan, Xiao Yang, Chen Gao, Xinlei Chen |
| 2025 | Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning. | Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia |
| 2025 | Denoising Diffusion Models are Good General Gaze Feature Learners. | Guanzhong Zeng, Jingjing Wang, Pengwei Yin, Zefu Xu, Mingyang Zhou |
| 2025 | Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance. | Chusheng Zeng, Bocheng Wang, Jinghui Yuan, Mulin Chen, Xuelong Li |
| 2025 | OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data. | Jinwei Zeng, Yu Liu, Guozhen Zhang, Jingtao Ding, Yuming Lin, Jian Yuan, Yong Li |
| 2025 | Toward Informed AV Decision-Making: Computational Model of Well-being and Trust in Mobility. | Zahra Zahedi, Shashank Mehrotra, Teruhisa Misu, Kumar Akash |
| 2025 | Brain-Inspired Stepwise Patch Merging for Vision Transformers. | Yonghao Yu, Dongcheng Zhao, Guobin Shen, Yiting Dong, Yi Zeng |
| 2025 | FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization. | Xiaoyang Yu, Xiaoming Wu, Xin Wang, Dongrun Li, Ming Yang, Peng Cheng |
| 2025 | Reward Models in Deep Reinforcement Learning: A Survey. | Rui Yu, Shenghua Wan, Yucen Wang, Chen-Xiao Gao, Le Gan, Zongzhang Zhang, De-Chuan Zhan |
| 2025 | A Centrality-based Graph Learning Framework. | Jiajun Yu, Zhihao Wu, Jielong Lu, Tianyue Wang, Haishuai Wang |
| 2025 | FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting. | Wenzhen Yue, Yong Liu, Xianghua Ying, Bowei Xing, Ruohao Guo, Ji Shi |
| 2025 | A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizer. | Jidong Yuan, Qihang Zhang, Naiyue Chen, Shengbo Chen, Baomin Xu |
| 2025 | DToMA: Training-free Dynamic Token MAnipulation for Long Video Understanding. | Bowen Yuan, Sisi You, Bing-Kun Bao |
| 2025 | ECG2TOK: ECG Pre-Training with Self-Distillation Semantic Tokenizers. | Xiaoyan Yuan, Wei Wang, Han Liu, Jian Chen, Xiping Hu |
| 2025 | Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction. | Shilu Yuan, Xiaoyu Li, Wenqian Mu, Ji Zhong, Meng Chen, Haoliang Sun, Yongshun Gong |
| 2025 | QBR - A Question-Bank-Based Approach to Fine-Grained Legal Knowledge Retrieval for the General Public. | Mingruo Yuan, Ben Kao, Tien-Hsuan Wu |
| 2025 | Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction. | Li Yuan, Yi Cai, Xudong Shen, Qing Li, Qingbao Huang, Zikun Deng, Tao Wang |