| 2026 | Collaborative Pattern Mining in Activity Graphs. | Beilei Ling, Ziyu Guan, Wei Zhao, Yiheng Lu, Meng Yan, Cai Xu, Weigang Lu, Beizeng Ling |
| 2026 | Adaptive Piece-Wise Space-Filling Curves for Dynamic Query Workloads. | Junshen Li, Zhengyu Liao, Wei Liang, Zhonglong Zhang, Shiyou Qian, Guangtao Xue, Jian Cao, Xiaoshan Li |
| 2026 | SeeKRec: Toward Semantic-Empowered Knowledge-Aware Recommendation. | Xiangming Li, Qingshan Li, Hua Chu, Yangtao Zhou, Jianan Li, Wanqiang Yang |
| 2026 | Eureka: Intelligent Feature Engineering for Enterprise AI Cloud Resource Demand Prediction. | Hangxuan Li, Renjun Jia, Xuezhang Wu, Yunjie Qian, Zeqi Zheng, Xianling Zhang |
| 2026 | Constrained Reachability Queries on Hypergraphs. | Faming Li, Han Guo, Shengli Qiu, Xiaochun Yang, Bin Wang |
| 2026 | MAC-NER: Multi-Agent Collaborative Framework for Educational Named Entity Recognition. | Chunhua Li, Xiaofeng Du, Xiaoyan Zhang, Tianbo Lu |
| 2026 | Evaluating Scoring Bias in LLM-as-a-Judge. | Qingquan Li, Shaoyu Dou, Kailai Shao, Chao Chen, Haixiang Hu |
| 2026 | FlowRec: Prior-Informed Flow Matching for Efficient Sequential Recommendation Generation. | Li Li, Mingyue Cheng, Yuyang Ye, Zhiding Liu, Enhong Chen |
| 2026 | ClusterPatchTST: Uncertainty-Aware Causal Clustering for Heterogeneous Time Series Forecasting. | Wei Li |
| 2026 | Lite-DRTG: A Lightweight Diffusion-Based Trajectory Generation for Real-Time Mapless Navigation. | Jeonghun Lee, Taehoon Kim, Kyoung-Sook Kim, Xin Liu |
| 2026 | ZTune: Model-Assisted Reinforcement Learning for Executor Tuning on Ad Hoc Spark SQL Query. | Dejun Kong, Xiuqi Huang, Xiaofeng Gao |
| 2026 | Multimodal Drug Recommendation with Quantum Chemical Molecular Representations. | Yujin Kim, Seoeun Park, Chongmyung Kwon, Charmgil Hong |
| 2026 | TVMC: Target Variance Minimization Clustering in GEMS Latent Representation for Time Series Forecasting of Air Pollution. | Byoungwook Kim, Seungwoo Lee, Yeongwook Yang, Hong-Jun Jang |
| 2026 | Context-Relation Alignment in Document-Level Relation Extraction via Prompt Graphs. | Minuk Kim, Heasoo Hwang |
| 2026 | KCoEvo: A Knowledge Graph Augmented Framework for Evolutionary Code Generation. | Jiazhen Kang, Yuchen Lu, Chen Jiang, Jinrui Liu, Tianhao Zhang, Bo Jiang, Ningyuan Sun, Tongtong Wu, Guilin Qi |
| 2026 | Balancing Temporal and Inter-variable Dependencies in Multivariate Time-Series Forecasting. | Jianan Ju, Bin Wang, Leixia Wang, Xiaochun Yang, Shangru Li, Bo Feng, Boce Chu, Jin Zhu |
| 2026 | RAG-Cache: Efficient Query-Specific Knowledge Caching for Retrieval Augmented Generation. | Haoying Jin, Haoyang Feng |
| 2026 | Beyond True Label: Label-Assumed Evidence Extraction for Personality Prediction. | Yu Ji, Zhe Huang, Xiang Liu, Yunyu Shi, Wen Wu |
| 2026 | Enhancing Graph Reconstruction via Node Embedding Alignment. | Xinyu Jiang, Qiao Yan |
| 2026 | Efficient Single Server Private Information Retrieval Without Preprocessing. | Haohao Jiang, Yi Qu, Long Chen, Min Zhang, Xiaoyi Wang, Dengguo Feng |
| 2026 | HISIR: End2End Hierarchical Intent-Based Sequential Recommendation. | Yan Jiang, Chao Li |
| 2026 | Toward Generalizable Multi-domain Graph Foundation Models via Dynamic Domain-Aware Feature Alignment. | Dahyun Jeong, Heasoo Hwang |
| 2026 | Consensus-on-Graph: Plan-Driven Exploration and Consensus Decision-Making on Knowledge Graphs. | Chengye Hu, Buchao Zhan, Li Yuan, Wenqi Fan, Shankai Yan |
| 2026 | DynamicPO: Dynamic Preference Optimization for Recommendation. | Xingyu Hu, Kai Zhang, Jiancan Wu, Shuli Wang, Chi Wang, Wenshuai Chen, Yinhua Zhu, Haitao Wang, Xingxing Wang, Xiang Wang |
| 2026 | HEADS: Temporal Observation Density Boosts Irregular Multivariate Time Series Forecasting. | Yimian Hu, Jianping Zhou, Bin Lu, Guanjie Zheng, Luoyi Fu, Xinbing Wang, Chenghu Zhou |