| 2025 | Bot Wars Evolved: Orchestrating Competing LLMs in a Counterstrike Against Phone Scams. | Nardine Basta, Conor Atkins, Dali Kaafar |
| 2025 | Explainable Temporal Knowledge Graph Reasoning via Expressive Logic Rules. | Xianglong Bao, Kewen Wang, Zhe Wang, Hong Wu, Jiangtao Zuo, Xiaowang Zhang, Zhiyong Feng, Hutong Wu |
| 2025 | Advancing Comprehensive Aspect-Based Sentiment Analysis with Generative Models. | Bisma Ayaz, Xiaoying Gao, Bing Xue |
| 2025 | Adaptive Weight Assignment for Adversarial Training Based on Predicted Class Probabilities Across Different Attacks and Perturbation Sizes. | Modeste Atsague, Jin Tian, Olukorede Fakorede |
| 2025 | Sparse Attention-Based Imputation Network for Time Series. | Aman Atman, Santosh Nannuru |
| 2025 | Owls are Wise and Foxes are Unfaithful: Uncovering Animal Stereotypes in Vision Language Models. | Tabinda Aman, Mohammad Nadeem, Shahab Saquib Sohail, Mohammad Anas, Erik Cambria |
| 2025 | The Use of Large Language Models to Cluster Genomic Data. | Reem Al-Saidi, Ziad Kobti, Thorsten Strufe |
| 2025 | DCMatch - Identify Matching Architectures in Deep Clustering Through Meta-learning. | Mamdouh Aljoud, Gabriel Marques Tavares, Collin Leiber, Thomas Seidl |
| 2025 | Fairness Driven Slot Allocation Problem in Billboard Advertisement. | Dildar Ali, Suman Banerjee, Shweta Jain, Yamuna Prasad |
| 2025 | Hilbert Curve Based Molecular Sequence Analysis. | Sarwan Ali, Tamkanat E. Ali, Imdad Ullah Khan, Murray Patterson |
| 2025 | Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation. | Dawon Ahn, Jun-Gi Jang, Evangelos E. Papalexakis |
| 2024 | Re-thinking Human Activity Recognition with Hierarchy-Aware Label Relationship Modeling. | Jingwei Zuo, Hakim Hacid |
| 2024 | Communicative and Cooperative Learning for Multi-agent Indoor Navigation. | Fengda Zhu, Vincent CS Lee, Rui Liu |
| 2024 | Soft Contrastive Learning for Implicit Feedback Recommendations. | Zhen-Hua Zhuang, Lijun Zhang |
| 2024 | Ranking Enhanced Supervised Contrastive Learning for Regression. | Ziheng Zhou, Ying Zhao, Haojia Zuo, Wenguang Chen |
| 2024 | Dual-Graph Convolutional Network and Dual-View Fusion for Group Recommendation. | Chenyang Zhou, Guobing Zou, Shengxiang Hu, Hehe Lv, Liangrui Wu, Bofeng Zhang |
| 2024 | Alleviating Over-Smoothing via Aggregation over Compact Manifolds. | Dongzhuoran Zhou, Hui Yang, Bo Xiong, Yue Ma, Evgeny Kharlamov |
| 2024 | Probabilistic Guarantees of Stochastic Recursive Gradient in Non-convex Finite Sum Problems. | Yanjie Zhong, Jiaqi Li, Soumendra Lahiri |
| 2024 | KiProL: A Knowledge-Injected Prompt Learning Framework for Language Generation. | Yaru Zhao, Yakun Huang, Bo Cheng |
| 2024 | TFAugment: A Key Frequency-Driven Data Augmentation Method for Human Activity Recognition. | Hao Zhang, Bixiao Zeng, Mei Kuang, Xiaodong Yang, Hongfang Gong |
| 2024 | MSTAN: A Multi-view Spatio-Temporal Aggregation Network Learning Irregular Interval User Activities for Fraud Detection. | Wenbo Zhang, Shuo Zhang, Xingbang Hu, Hejiao Huang |
| 2024 | Projection-Free Bandit Convex Optimization over Strongly Convex Sets. | Chenxu Zhang, Yibo Wang, Peng Tian, Xiao Cheng, Yuanyu Wan, Mingli Song |
| 2024 | Towards Cost-Efficient Federated Multi-agent RL with Learnable Aggregation. | Yi Zhang, Sen Wang, Zhi Chen, Xuwei Xu, Stano Funiak, Jiajun Liu |
| 2024 | SD-Attack: Targeted Spectral Attacks on Graphs. | Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li |
| 2024 | Enhancing Policy Gradient for Traveling Salesman Problem with Data Augmented Behavior Cloning. | Yunchao Zhang, Kewen Liao, Zhibin Liao, Longkun Guo |