| 2026 | Role Hypergraph Contrastive Learning for Multivariate Time-Series Analysis. | Rundong Xue, Hao Hu, Zhitao Zeng, Xiangmin Han, Zhiqiang Tian, Shaoyi Du, Yue Gao |
| 2026 | Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure. | Lulu Xue, Shengshan Hu, Linqiang Qian, Peijin Guo, Yechao Zhang, Minghui Li, Yanjun Zhang, Dayong Ye, Leo Yu Zhang |
| 2026 | MMBERT: Scaled Mixture-of-Experts Multimodal BERT for Robust Chinese Hate Speech Detection Under Cloaking Perturbations. | Qiyao Xue, Yuchen Dou, Zheyuan Ryan Shi, Xiang Lorraine Li, Wei Gao |
| 2026 | ProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series Forecasting. | Jiaqi Xue, Hongji Dong, Yucen Gao, Xiaofeng Gao, Guihai Chen |
| 2026 | SoMe: A Realistic Benchmark for LLM-based Social Media Agents. | Dizhan Xue, Jing Cui, Shengsheng Qian, Chuanrui Hu, Changsheng Xu |
| 2026 | Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-Based Test Oracles. | Zihao Xu, Junchen Ding, Yiling Lou, Kun Zhang, Dong Gong, Yuekang Li |
| 2026 | Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction. | Jun Xu, Xinkai Du, Yu Ao, Peilong Zhao, Yang Li, Ling Zhong, Lin Yuan, Zhongpu Bo, Xiaorui Wang, Mengshu Sun, Zhengke Gui, Dalong Zhang, ZhaoYang Wang, Qiwei Wang, Yangyang Hou, ZhiYing Yi, Haofen Wang, Huajun Chen, Lei Liang, Jun Zhou |
| 2026 | CAG-GS: Consistent Anchor Guided Gaussian Splatting for Large-scale Scene Rendering. | Shijie Xu, Qiulei Dong |
| 2026 | VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models. | Mingjie Xu, Jinpeng Chen, Yuzhi Zhao, Jason Chun Lok Li, Yue Qiu, Zekang Du, Mengyang Wu, Pingping Zhang, Kun Li, Hongzheng Yang, Wenao Ma, Jiaheng Wei, Qinbin Li, Kangcheng Liu, Wenqiang Lei |
| 2026 | Pushing Rendering Boundaries: Hard Gaussian Splatting. | Qingshan Xu, Jiequan Cui, Xuanyu Yi, Yuxuan Wang, Yuan Zhou, Yew-Soon Ong, Hanwang Zhang |
| 2026 | Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering. | Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Ziyue Peng, Zewei Liu, Hewei Wang, Jiayi Zhang, Edith C. H. Ngai |
| 2026 | Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks. | Xinjie Xu, Shuyu Cheng, Dongwei Xu, Qi Xuan, Chen Ma |
| 2026 | BCWildfire: A Long-term Multi-factor Dataset and Deep Learning Benchmark for Boreal Wildfire Risk Prediction. | Zhengsen Xu, Sibo Cheng, Lanying Wang, Hongjie He, Wentao Sun, Jonathan Li, Lincoln Linlin Xu |
| 2026 | Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion. | Xingxin Xu, Bing Cao, Dongdong Li, Qinghua Hu, Pengfei Zhu |
| 2026 | Identity-Aware Vision-Language Model for Explainable Face Forgery Detection. | Junhao Xu, Jingjing Chen, Yang Jiao, Jiacheng Zhang, Zhiyu Tan, Hao Li, Yu-Gang Jiang |
| 2026 | GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generation. | Rongchao Xu, Kunlin Cai, Lin Jiang, Zhiqing Hong, Yuan Tian, Guang Wang |
| 2026 | A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning. | Meng Xu, Xinhong Chen, Zhongying Chen, Guanyi Zhao, Yang Jin, Jianping Wang |
| 2026 | Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization (Student Abstract). | Le Xu, Jiayu Chen |
| 2026 | Graph RAG for Automated Short Answer Grading with Feedback: Bridging Pedagogical Needs and Technical Capabilities. | Guoliang Xu, James E. Corter |
| 2026 | DeepPhy: Benchmarking Agentic VLMs on Physical Reasoning. | Xinrun Xu, Pi Bu, Ye Wang, Brje F. Karlsson, Ziming Wang, Tengtao Song, Qi Zhu, Jun Song, Zhiming Ding, Bo Zheng |
| 2026 | SSHPool: The Separated Subgraph-based Hierarchical Pooling. | Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Ziyu Lyu, Yue Wang, Edwin R. Hancock |
| 2026 | Judging by the Rules: Compliance-Aligned Framework for Modern Slavery Statement Monitoring. | Wenhao Xu, Akshatha Arodi, Jian-Yun Nie, Arsne Fansi Tchango |
| 2026 | Can You Trust What I Think? Analyzing and Improving Verbalized Uncertainty and Factuality in Reasoning-Based Large Language Models. | Tianruo Rose Xu |
| 2026 | Building Interpretable, Trust-worthy Systems for Neural Signal Decoding. | Hua Xu |
| 2026 | OmniVDiff: Omni Controllable Video Diffusion for Generation and Understanding. | Dianbing Xi, Jiepeng Wang, Yuanzhi Liang, Xi Qiu, Yuchi Huo, Rui Wang, Chi Zhang, Xuelong Li |