| 2026 | Enhancing Multimodal Recommendation via Multimodal Representation Calibration in Spectral Domain. | Minghui Wang, Tingting Zhang, Yu Li, Yi Chang |
| 2026 | Breaking Robustness Barriers in Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective. | Ziwen Wang, Shangshang Yang, Xiaoshan Yu, Haiping Ma, Xingyi Zhang |
| 2026 | Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting. | Hongjun Wang, Jiawei Yong, Jiawei Wang, Shintaro Fukushima, Renhe Jiang |
| 2026 | Fast Algorithms for Group Markov Centrality Optimization. | Gengyu Wang, Haisong Xia, Runze Zhang, Zhongzhi Zhang |
| 2026 | Lower Bias, Higher Welfare: How Creator Competition Reshapes Bias-Variance Tradeoff in Recommendation Platforms? | Kang Wang, Renzhe Xu, Bo Li |
| 2026 | SaVe-TAG: LLM-based Interpolation for Long-Tailed Text-Attributed Graphs. | Leyao Wang, Yu Wang, Bo Ni, Yuying Zhao, Hanyu Wang, Yao Ma, Tyler Derr |
| 2026 | Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking. | Xingchen Wang, Feijie Wu, Chenglin Miao, Tianchun Li, Haoyu Hu, Qiming Cao, Jing Gao, Lu Su |
| 2026 | IMPACTNet: Unifying Auto-bidding in End-to-End Merged Auctions. | Yuhan Wang, Yuchao Ma, Liang Zhang, Ziyuan Wang, Zhiyuan Su, Qi Qi, Yafei Wang, Xu Li, Yuyao Liu, Pengjie Wang, Jian Xu, Bo Zheng |
| 2026 | MTGenRec: An Efficient Distributed Training System for Generative Recommendation Models in Meituan. | Yuxiang Wang, Chi Ma, Xiao Yan, Mincong Huang, Xiaoguang Li, Ruidong Han, Bin Yin, Shangyu Chen, Xiang Li, Fei Jiang, Lei Yu, Chuan Liu, Wei Lin, Haowei Han, Xiaokai Zhou, Bo Du, Jiawei Jiang |
| 2026 | SGA: Self-boosting Attributed Graph Alignment via Neighborhood Consistency-based Edge Enhancement. | Chenxu Wang, Wencong Lin, Pinghui Wang, Tao Qin, Wei Wang, Xiaohong Guan |
| 2026 | Communication-efficient Federated Graph Classification via Generative Diffusion Modeling. | Xiuling Wang, Xin Huang, Haibo Hu, Jianliang Xu |
| 2026 | LitBench: A Graph-Centric Large Language Model Benchmarking Tool For Literature Tasks. | Andreas Varvarigos, Ali Maatouk, Jiasheng Zhang, Ngoc Bui, Jialin Chen, Leandros Tassiulas, Rex Ying |
| 2026 | IRLBench: A Multi-modal, Culturally Grounded, Parallel Irish-English Benchmark for Open-Ended LLM Reasoning Evaluation. | Khanh-Tung Tran, Duc-Hai Nguyen, Barry O'Sullivan, Hoang D. Nguyen |
| 2026 | MCGrad: Multicalibration at Web Scale. | Niek Tax, Lorenzo Perini, Fridolin Linder, Daniel Haimovich, Dima Karamshuk, Nastaran Okati, Milan Vojnovic, Pavlos Athanasios Apostolopoulos |
| 2026 | AURORA: Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification. | Xiaoyu Tan, Tianchu Yao, Chao Qu, Bin Li, Minghao Yang, Dakuan Lu, Haozhe Wang, Yinghui Xu, Xihe Qiu |
| 2026 | FedPRE: Robust Federated Graph Learning against Topological Corruption. | Zihan Tan, Guancheng Wan, Wenke Huang, Bin Yang, Mang Ye |
| 2026 | FilDeep: Learning Large Deformations of Elastic-Plastic Solids with Multi-Fidelity Data. | Jianheng Tang, Shilong Tao, Zhe Feng, Haonan Sun, Menglu Wang, Zhanxing Zhu, Yunhuai Liu |
| 2026 | Enhancing Node-Level Graph Domain Adaptation by Alleviating Local Dependency. | Xinwei Tai, Dongmian Zou, Hongfei Wang |
| 2026 | Beyond Content: Integrating Generated User Intent and Planned Behavior Theory for Reliable Fake News Detection. | Ling Sun, Yuan Rao, Hongyang Xia, Hongxu Jiang, Chenlong Zhang |
| 2026 | Beyond Routines: Adaptive Mobility Prediction via Sequential-Relational Fusion. | Tianao Sun, Ruizhe Liu, Wenzhen Jia, Kai Zhao, Weiming Huang, Meng Chen |
| 2026 | On Saddle Point Avoidance and Stationary Distribution of Sharpness-Aware Minimization. | Tao Sun, Fan Jia, Bao Wang |
| 2026 | X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI. | Yiming Sun, Shuo Chen, Shengyu Chen, Chonghao Qiu, Licheng Liu, Youmi Oh, Sparkle L. Malone, Gavin McNicol, Qianlai Zhuang, Chris Smith, Yiqun Xie, Xiaowei Jia |
| 2026 | CREAM: Continual Retrieval on Dynamic Streaming Corpora with Adaptive Soft Memory. | HuiJeong Son, Hyeongu Kang, Sunho Kim, Subeen Ho, SeongKu Kang, Dongha Lee, Susik Yoon |
| 2026 | Signed Proximity Matters in Graph-based Recommendation. | Yifan Song, Renchi Yang, Jing Tang |
| 2026 | Improving Enzyme Prediction with Chemical Reaction Equations by Hypergraph-Enhanced Knowledge Graph Embeddings. | Tengwei Song, Long Yin, Zhen Han, Zhiqiang Xu |