| 2025 | Early Detection and Attribution of Structural Changes in Dynamic Networks. | Izhar Ali, Shen-Shyang Ho |
| 2025 | Split Inference for Precision Agriculture. | Izhar Ali, Nicholas Bovee, Suraj Bitla, Gopi Krishna Patapanchala, Rajeshwari Gangoni, Shen-Shyang Ho |
| 2025 | Advancing Climate Model Interpretability: Feature Attribution for Arctic Melt Anomalies. | Tolulope Ale, Nicole-Jeanne Schlegel, Vandana P. Janeja |
| 2025 | Shapley-Value Based Feature Attribution for Explainability and Algorithmic Fairness: a Model-Agnostic Benchmark. | Sokrat Aldarmini, Mohamed Nafea |
| 2025 | AI-Powered Trait Analysis for Poisonous Mushroom Classification. | Srikar Akundi |
| 2025 | On Predicting Post-Click Conversion Rate via Counterfactual Inference. | Junhyung Ahn, Sanghack Lee |
| 2025 | Multi-Speaker Conversational Audio Deepfake: Taxonomy, Dataset and Pilot Study. | Alabi Ahmed, Vandana Pursnani Janeja, Sanjay Purushotham |
| 2025 | Beyond Point Matching: Evaluating Multiscale Dubuc Distance for Time Series Similarity. | Azim Ahmadzadeh, Mahsa Khazaei, Elaina Rohlfing |
| 2025 | Learning from Uncertainty: A Cloud-Based Active Learning for Detecting Bone Union in Mandibular Reconstruction. | MohammadHossein Ahmadi, Amin Beheshti, Yuankai Qi, Sam Mokhtari, Maryam Khanian Najafabadi, Masako Dunn, Jonathan R. Clark |
| 2025 | PersoPilot: An Adaptive AI-Copilot for Transparent Contextualized Persona Classification and Personalized Response Generation. | Saleh Afzoon, Amin Beheshti, Usman Naseem |
| 2025 | Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering. | Hossein Abdi, Mingfei Sun, Wei Pan |
| 2025 | Attribution Quality in AI-Generated Content: Benchmarking Style Embeddings and LLM Judges. | Misam Abbas |
| 2024 | Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification. | Pawel Zyblewski, Leandro L. Minku |
| 2024 | Efficiently Manipulating Structural Graph Clustering Under Jaccard Similarity. | Chuanyu Zong, Rui Fang, Mengxiang Wang, Tao Qiu, Anzhen Zhang |
| 2024 | Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation. | Nengjun Zhu, Lingdan Sun, Xiangfeng Luo, Jian Cao, Qi Zhang, Xinjiang Lu |
| 2024 | Adaptive Loss-aware Modulation for Multimedia Retrieval. | Jian Zhu, Yu Cui, Lei Liu, Zeyi Sun, Yuyang Dai, Xi Wang, Cheng Luo, Li-Rong Dai |
| 2024 | Multi-Modal Sarcasm Detection via Dual Synergetic Perception Graph Convolutional Networks. | Xingjie Zhuang, Zhixin Li |
| 2024 | Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization. | Hang Zhou, Wentao Yu, Sheng Wan, Yongxin Tong, Tianlong Gu, Chen Gong |
| 2024 | UMVUE-DR: Uniformly Minimum Variance Unbiased Doubly Robust Learning with Reduced Bias and Variance for Debiased Recommendation. | Chunyuan Zheng, Taojun Hu, Chuan Zhou, Xiao-Hua Zhou |
| 2024 | Dual Cross-Stage Partial Learning for Detecting Objects in Dehazed Images. | Jinbiao Zhao, Zhao Zhang, Jiahuan Ren, Haijun Zhang, Zhongqiu Zhao, Meng Wang |
| 2024 | Reliability assessment of models for risk stratification: A knowledge-based approach. | Zhan Zhao, Paulo Gil, Joo Loureiro, Lorena Petrella, Jorge Henriques |
| 2024 | EEiF: Efficient Isolated Forest with e Branches for Anomaly Detection. | Yifan Zhang, Haolong Xiang, Xuyun Zhang, Xiaolong Xu, Wei Fan, Qin Zhang, Lianyong Qi |
| 2024 | Multi-Agent Based Casual Triple Extraction For Factuality Evaluation Using Large Language Models. | Jian Zhang, Zemin Xu, Lifang Liu, Zhanfeng Shen, Yue Cui, Yongdong Zhang |
| 2024 | Goal-Guided Generative Prompt Injection Attack on Large Language Models. | Chong Zhang, Mingyu Jin, Qinkai Yu, Chengzhi Liu, Haochen Xue, Xiaobo Jin |
| 2024 | Reducing Unfairness in Distributed Community Detection. | Hao Zhang, Malith Jayaweera, Bin Ren, Yanzhi Wang, Sucheta Soundarajan |