| 2026 | Mixture of Adaptive Retrieval Experts for Veracity Assessment in the Human-LLM Mixed Generation Paradigm. | Ruohan Zong, Yang Zhang, Zhenrui Yue, Dong Wang |
| 2026 | Addressing Aggregation-Induced Information Loss in Graph Neural Networks. | Wenhao Zhu, Haonan Dong, Guojie Song, Zhengzhou Zhu |
| 2026 | Automated C Vulnerability Detection via Structure-Enhanced Graph Transformer and RBM. | Yibo Zhou, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Siyu Wu |
| 2026 | XLingLearn: Balancing Alignment and Robustness for Zero-Shot Cross-Lingual Transfer. | Wenwen Zhao, Li Li |
| 2026 | DiffNBR: Spatio-Temporal Diffusion with Information Bottleneck for Next-Basket Recommendation. | Yichi Zhang, Cheng Zhang, Haifeng Sun, Qi Qi, Lejian Zhang, Jing Wang, Jingyu Wang |
| 2026 | Forget Me, Not My Friends! Object Unlearning Based on Scene Graphs. | Chenhan Zhang, Benjamin Zi Hao Zhao, Hassan Asghar, Weiqi Wang, An Liu, Dali Kaafar |
| 2026 | RankID: A Unified Semantic ID Learned through Multi-Stage Semantic Alignment of Multimodal Features. | Jiangfan Zhang, Yinglong Xia, Jiang Li, Chen Yuan, Yonghuan Yang, Jun Xiao, Xiangjun Fan |
| 2026 | Privacy-preserved LLM Cascade via CoT-enhanced Policy Learning. | Kai Zhang, Congchao Wang, Liqian Peng, Alec Go, Xiaozhong Liu |
| 2026 | REFLEX: Reinforcement Feedback Learning with Large Language Models for E-commerce Query Expansion. | Yipeng Zhang, Bowen Liu, Xiaoshuang Zhang, Aritra Mandal, Canran Xu, Zhe Wu |
| 2026 | VTCR: Multimodal Visual-Text Cross-Attention Reranking for Streaming Media and Creative Content Discovery. | Liping Zhang, Tracy King |
| 2026 | Counteracting the Delayed Conversions in OCPC with Survival Analysis. | Leping Zhang, Chenxuan He, Xiao Zhang, Yichao Wang, Tengxiang Zhang, Zhenhua Dong, Jun Xu |
| 2026 | HeteroMILE: a Multi-Level Graph Representation Learning framework for Heterogeneous Graphs. | Yue Zhang, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy |
| 2026 | MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding. | Daoze Zhang, Chenghan Fu, Zhanheng Nie, Jianyu Liu, Wanxian Guan, Yuan Gao, Jun Song, Pengjie Wang, Jian Xu, Bo Zheng |
| 2026 | TOOL-CURE: Tool Selection via Curriculum-Enhanced Reinforcement Learning with Sample Screening for LLMs. | Jie Zhang, Dongsheng Bi, Tao Sun, Minghui Yang, Jian Wang, Yiwei Wang |
| 2026 | Planning Before Retrieval: A Constrained Planner-Executor Framework for Reliable and Efficient KG-Augmented Reasoning. | Liangliang Zhang, Yao Ma |
| 2026 | Unlearning Inversion Attacks for Graph Neural Networks. | Jiahao Zhang, Yilong Wang, Zhiwei Zhang, Xiaorui Liu, Suhang Wang |
| 2026 | Knowledge-Graph Structure-Aware Conversational Entity Retrieval. | Mona Zamiri |
| 2026 | Conversational Entity Retrieval from a Knowledge Graph using Aggregation of Fine-grained Relevance Signals with Graph Convolutions and Self-Attention. | Mona Zamiri, Alexander Kotov |
| 2026 | Urban Traffic Network Layout Optimization with Guided Discrete Diffusion Models. | Taeyoung Yun, Inhyuck Song, Woocheol Shin, Yujin Shin, Sungpil Woo, Sunhwan Lim, Jinkyoo Park |
| 2026 | ARROW: Adaptive Reasoning for LLM-based Recommendation with Explainability. | Woo-Seong Yun, Min-Seong Kim, Yoon-Sik Cho |
| 2026 | A Causal Inference Framework for Actionable Fault Diagnosis and Mitigation. | Shuhan Yuan, Lu Zhang |
| 2026 | ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning. | Chaohao Yuan, Zhenjie Song, Ercan Engin Kuruoglu, Kangfei Zhao, Yang Liu, Deli Zhao, Hong Cheng, Yu Rong |
| 2026 | Efficient Vector-Based Label Propagation for Massive Low-Rank Graphs. | Tengkai Yu, Venkatesh Srinivasan, Alex Thomo |
| 2026 | From Data to Model in Bias: A Statistical Analysis of Political Bias in the C4 Corpus and Its Impact on LLMs. | Jaebeom You, Jaewon Lee, Sehun Lee, Hyuk-Yoon Kwon |
| 2026 | Geo-Personalization Bias in News Search: Analyzing Filter Bubbles in Search Engine Results with Multi-Perspective LLM Annotation. | Jaebeom You, Seung-Kyu Hong, Ling Liu, Kisung Lee, Hyuk-Yoon Kwon |