| 2025 | Generalization Performance of Hypergraph Neural Networks. | Yifan Wang, Gonzalo R. Arce, Guangmo Tong |
| 2025 | Cross-View Isolated Sign Language Recognition with Graph. | Xinyu Wang |
| 2025 | Debias Can Be Unreliable: Mitigating Bias in Evaluating Debiasing Recommendation. | Chengbing Wang, Wentao Shi, Jizhi Zhang, Wenjie Wang, Hang Pan, Fuli Feng |
| 2025 | Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach. | Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Wenjing Yang, Peng Cui |
| 2025 | Unleashing the Power of Large Language Model for Denoising Recommendation. | Shuyao Wang, Zhi Zheng, Yongduo Sui, Hui Xiong |
| 2025 | Exploiting Ensemble Learning for Cross-View Isolated Sign Language Recognition. | Fei Wang, Kun Li, Yiqi Nie, Zhangling Duan, Peng Zou, Zhiliang Wu, Yuwei Wang, Yanyan Wei |
| 2025 | FiGraph: A Dynamic Heterogeneous Graph Dataset for Financial Anomaly Detection. | Xiaoguang Wang, Chenxu Wang, Huanlong Liu, Mengqin Wang, Tao Qin, Pinghui Wang |
| 2025 | Maverick: Personalized Edge-Assisted Federated Learning with Contrastive Training. | Kaibin Wang, Qiang He, Zeqian Dong, Rui Chen, Chuan He, Caslon Chua, Feifei Chen, Yun Yang |
| 2025 | Not All Benignware Are Alike: Enhancing Clean-Label Attacks on Malware Classifiers. | Xutong Wang, Yun Feng, Bingsheng Bi, Yaqin Cao, Ze Jin, Xinyu Liu, Yuling Liu, Yunpeng Li |
| 2025 | Value Function Decomposition in Markov Recommendation Process. | Xiaobei Wang, Shuchang Liu, Qingpeng Cai, Xiang Li, Lantao Hu, Han Li, Guangming Xie |
| 2025 | FactIR: A Real-World Zero-shot Open-Domain Retrieval Benchmark for Fact-Checking. | Venktesh V, Vinay Setty |
| 2025 | Online Bidding under RoS Constraints without Knowing the Value. | Sushant Vijayan, Zhe Feng, Swati Padmanabhan, Karthikeyan Shanmugam, Arun Suggala, Di Wang |
| 2025 | 4th International Workshop on Natural Language Processing for Knowledge Graph Construction. | Edlira Vakaj, Nandana Mihindukulasooriya, Sanju Tiwari, Sergio Jos Rodrguez Mndez |
| 2025 | Using Large Language Models for Hypotheses and Claims Extraction from Scientific Literature. | Sagar Uprety, Boyana Buyuklieva, Prayag Tiwari |
| 2025 | SupportPlay: A Multi-Agent Role-Playing System for Personalized and Sustained Multimodal Emotional Support Conversation. | Geng Tu, Bingbing Wang, Erik Cambria, Wenjie Li, Ruifeng Xu |
| 2025 | Navigating the LOD Subclouds: Assessing Linked Open Data Quality by Domain. | Gabriele Tuozzo |
| 2025 | Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale. | Elisa Tsai, Neal Mangaokar, Boyuan Zheng, Haizhong Zheng, Atul Prakash |
| 2025 | Cost-Efficiency Trade-offs for Neural Cascade Rankers in Web Search. | Ekaterina Trimbach, Badr Abdallaoui, Paul Missault |
| 2025 | Fairness and Robustness in Machine Unlearning. | Khoa Tran, Simon S. Woo |
| 2025 | Explainable Manipulated Videos Detection Using Multimodal Large Language Models. | Khoa-Dang Tran |
| 2025 | On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective. | Hung Vinh Tran, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin |
| 2025 | Peripheral Instinct: How External Devices Breach Browser Sandboxes. | Leon Trampert, Lorenz Hetterich, Lukas Gerlach, Mona Schappert, Christian Rossow, Michael Schwarz |
| 2025 | Understanding and Mitigating Polarization in Community Notes: Factors and Strategies for Improved Consensus. | Keisuke Toyoda, Tomoki Fukuma, Koki Noda, Yoshiharu Ichikawa, Kyosuke Kambe, Yu Masubuchi, Hiroshi Someda, Fujio Toriumi |
| 2025 | Fake News Detection via Intermediate-Layer Emotional Representations. | Yassine Toughrai, David Langlois, Kamel Smali |
| 2025 | Ploutos: Towards Explainable Stock Movement Prediction with Financial Large Language Model. | Hanshuang Tong, Jun Li, Ning Wu, Ming Gong, Dongmei Zhang, Qi Zhang |