| 2026 | Bridging Vision and Language for Robust Context-Aware Surgical Point Tracking: The VL-SurgPT Dataset and Benchmark. | Rulin Zhou, Wenlong He, An Wang, Jianhang Zhang, Xuanhui Zeng, Xi Zhang, Chaowei Zhu, Haijun Hu, Hongliang Ren |
| 2026 | Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting. | Ziyu Zhou, Yiming Huang, Yanyun Wang, Yuankai Wu, James Kwok, Yuxuan Liang |
| 2026 | M3ashy: Multi-Modal Material Synthesis via Hyperdiffusion. | Chenliang Zhou, Zheyuan Hu, Alejandro Sztrajman, Yancheng Cai, Yaru Liu, Cengiz ztireli |
| 2026 | Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning. | Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka, Stefan Schmid, Yuqicheng Zhu, Jingcheng Wu, Nadeem Nazer, Steffen Staab |
| 2026 | Do Retrieval Augmented Language Models Know When They Don't Know? | Youchao Zhou, Heyan Huang, Yicheng Liu, Rui Dai, Xinglin Wang, Xingchen Zhang, Shumin Shi, Yang Deng |
| 2026 | ReaSon: Reinforced Causal Search with Information Bottleneck for Video Understanding. | Yuan Zhou, Litao Hua, Shilong Jin, Wentao Huang, Haoran Duan |
| 2026 | Assessing Automated Fact-Checking for Medical LLM Responses with Knowledge Graphs. | Shasha Zhou, Mingyu Huang, Jack Cole, Charles Britton, Ming Yin, Jan Wolber, Ke Li |
| 2026 | MACS: Multi-source Audio-to-image Generation with Contextual Significance and Semantic Alignment. | Hao Zhou, Xiaobao Guo, Yuzhe Zhu, Adams Wai-Kin Kong |
| 2026 | Perturbing to Preserve: Defending Fragile Knowledge in Online Continual Learning. | Dulan Zhou, Zijian Gao, Kele Xu |
| 2026 | DeNC++: Efficient Diffusion-Enhanced Neural Codec for End-to-end Semantic Streaming at the Edge. | Qihua Zhou, Wangjiang Gong, Zili Meng, Yaxiong Xie, Yaodong Huang, Junchen Jiang, Laizhong Cui |
| 2026 | Voices, Faces, and Feelings: Multi-modal Emotion-Cognition Captioning for Mental Health Understanding. | Zhiyuan Zhou, Yanrong Guo, Shijie Hao |
| 2026 | TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling. | Deming Zhou, Yuetong Fang, Zhaorui Wang, Renjing Xu |
| 2026 | Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis. | Yunduo Zhou, Bo Dong, Chang Li, Yuanchen Wang, Xuefeng Yin, Yang Wang, Xin Yang |
| 2026 | DIFFA: Large Language Diffusion Models Can Listen and Understand. | Jiaming Zhou, Hongjie Chen, Shiwan Zhao, Jian Kang, Jie Li, Enzhi Wang, Yujie Guo, Haoqin Sun, Hui Wang, Aobo Kong, Yong Qin, Xuelong Li |
| 2026 | SAOT: An Enhanced Locality-Aware Spectral Transformer for Solving PDEs. | Chenhong Zhou, Jie Chen, Zaifeng Yang |
| 2026 | DICE: Distilling Classifier-Free Guidance into Text Embeddings. | Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen, Siwei Lyu |
| 2026 | Structure Detection for Contextual Reinforcement Learning. | Tianyue Zhou, Jung-Hoon Cho, Cathy Wu |
| 2026 | STaR: Sensitive Trajectory Regulation for Unlearning in Large Reasoning Models. | Jingjing Zhou, Gaoxiang Cong, Li Su, Liang Li |
| 2026 | Zero-Shot Open-Vocabulary Human Motion Grounding with Test-Time Training. | Yunjiao Zhou, Xinyan Chen, Junlang Qian, Lihua Xie, Jianfei Yang |
| 2026 | CompTrack: Information Bottleneck-Guided Low-Rank Dynamic Token Compression for Point Cloud Tracking. | Sifan Zhou, Yichao Cao, Jiahao Nie, Yuqian Fu, Ziyu Zhao, Xiaobo Lu, Shuo Wang |
| 2026 | Exploring Position Encoding Mechanism in Diffusion U-Net for Training-free High-resolution Image Generation. | Feng Zhou, Pu Cao, Yiyang Ma, Lu Yang, Yonghao Dang, Jianqin Yin |
| 2026 | Δt-Mamba3D: A Time‑Aware Spatio‑Temporal State‑Space Model for Breast Cancer Risk Prediction. | Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Shandong Wu |
| 2026 | Inference Scaling Law for Retrieval Augmented Generation. | Shu Zhou, Yuxuan Ao, Yunyang Xuan, Xin Wang, Tao Fan, Hao Wang |
| 2026 | Scalable Privacy-Preserving Neural Network Training over Z2k via RMFE-Based Packing and Mixed-Circuit Computation. | Hengcheng Zhou |
| 2026 | Fusing Deep Learning and Fuzzy Logic: A Framework for Adaptive and Scalable Interpretability. | Yumin Zhou |