| 2026 | TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation. | Yu Xia, Rui Zhong, Zeyu Song, Wei Yang, Junchen Wan, Qingpeng Cai, Chi Lu, Peng Jiang |
| 2026 | LLM-Enhanced Reinforcement Learning for Long-Term User Satisfaction in Interactive Recommendation. | Chongjun Xia, Yanchun Peng, Xianzhi Wang |
| 2026 | Beyond Residuals: A Progressive Semantic-Preserving Quantization Approach for Recommendation. | Liwen Xiao, Shijia Wang, Songpei Xu, Qiang Xiao, Da Guo, Yintao Ren, Dongjing Wang, Chuanjiang Luo |
| 2026 | Point-Patch Transformer for Multivariate Time Series Forecasting. | Wenyi Xiao, Dejiao Niu, Tao Cai, Yikang Deng, Liushan Zhang, Qiujing Huang |
| 2026 | Mitigating Negative Transfer in Cross-Domain Sequential Recommendation: Collaborative Memory and Gradient-Feedback Reweighting. | Shitong Xiao, Rui Chen, Hongtao Song, Qilong Han, Longyu Xia |
| 2026 | DBRooter: An Efficient Causal Root Cause Analysis Framework for Distributed Databases. | Qingfeng Xiang, Yingxia Shao, Chenglin Tian, Quanqing Xu, Qiyao Luo |
| 2026 | Directional Flow Graph Framework for Detecting Known and Unknown Malicious Traffic. | Yang Wu, Ruijia Wang, Mingyuan Zang, Jie Wu |
| 2026 | DMS-ToM: Enhancing LLMs' Theory of Mind via Dramaturgy-Driven Mental-State Process. | Chenglong Wu, Jinzhi Liao, Xiang Zhao |
| 2026 | Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning. | Shunyu Wu, Tianyue Li, Yixuan Leng, Jingyi Suo, Jian Lou, Dan Li, See-Kiong Ng |
| 2026 | PlugSI: Plug-and-Play Test-Time Graph Adaptation for Spatial Interpolation. | Xuhang Wu, Zhuoxuan Liang, Wei Li, Xiaohua Jia, Sumi Helal |
| 2026 | GeoPhrase Tree: An Efficient Index for Frequent Phrase Query over Spatio-Temporal Ranges. | Chenning Wu, Chang Lu, Yinan Jing, Zhenying He, Zhihui Yang, X. Sean Wang |
| 2026 | DiffKGR: Diffusion-Based Virtual Edge Generation for Knowledge Graph Recommendation. | Lyuwen Wu, Xiaoying Gan, Luoyi Fu, Lei Zhou, Xinbing Wang, Chenghu Zhou |
| 2026 | Spatio-Temporal Fusion in Graph Neural Network for Streaming Knowledge Tracing. | Yi-Fei Wen, Hang Liang, Carl Yang, Wen-Bo Xie, Yajun Du, Xianyong Li, Yan-Li Lee |
| 2026 | PJDL: Parallelizing Leapfrog Triejoin via Incremental Trie Construction and Dynamic Load Balancing. | Jiaqi Wei, Yipeng Liu, Yuming Lin |
| 2026 | PAPT: Periodic-Aware Transformer with Polynomial Trend Fitting for General Time Series Forecasting. | Xiuyuan Wei, Jiadong Chen, Yuchen Fang, Yinbo Sun, Xiaofeng Gao, Lintao Ma, Guihai Chen |
| 2026 | Task-Aware Text Graph Structure Learning for Semi-Supervised Text Classification. | Shiyu Wang, Gang Zhou, Jicang Lu, Ningbo Huang, Qiankun Pi |
| 2026 | zkNAS: Secure and Efficient Outsourced-NAS with Zero-Cost Proxies. | Haodi Wang, Danyang Zhang, Tangyu Jiang, Danyang Wang, Fangda Guo, Jing Wang, Yu Guo |
| 2026 | Document-Level Relation Extraction with Bayesian-Adaptive Monte Carlo Tree Search. | Zhen Wang, Yu Wang, Wen Zhao |
| 2026 | Certified Pseudo-label Enhanced Active Learning Framework for Pattern Interest Evaluation. | Xin Wang, Tian Wang, Lu Wang, Yuxin Zhang, Bin Hu, Chong Zhang, Wenbo Xie |
| 2026 | All-or-Nothing: Towards Hyperedge-Consistent Node Classification. | Ziwen Wang, Yihan Wang, Junli Liang, Rong Lin, Wangqiu Zhou, Pengfei Zhou, Ling Zheng, Hao Liu, Qi Song |
| 2026 | AP-Shapley: Efficient Shapley Value Computation for Federated Learning Contribution Evaluation via Adaptive Pruning. | Lingfu Wang, Tong Wu, Guangchun Luo, Wei Guo, Aiguo Chen |
| 2026 | NK-GAD: Neighbor Knowledge-Enhanced Unsupervised Graph Anomaly Detection. | Zehao Wang, Lanjun Wang |
| 2026 | COAT-GNN: Cooperative Attribute Learning and Topological Optimization for Protein-Protein Interaction Sites Prediction. | Zhe Wang, Rongfan Tang, Chenglin Wang, Jingyang Chen, Danlin Liu, Hongbo Zhao, Jie Zhang, Honglin Li, Kai Zhang |
| 2026 | Ponzitracker: A General Detection Framework for Ponzi Scheme in Blockchains. | Gang Wang, Yiping Teng, Zhen Song, Leyang Li, Qinnan Zhang, Qingbo Zhang, Yanfeng Zhang, Ge Yu |
| 2026 | DAED: Dynamic Additive Effect Decomposition for Interpretable Time Series Forecasting. | Chaoqun Wang, Xiangqian Sun, Jianjia Wang, Guangyu Ren, Zhen Hua |