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• Category Prompt Mamba Network for Nuclei Segmentation and Classification

  Ye Zhang, Zijie Fang, Yifeng Wang, Lingbo Zhang, Xianchao Guan, Yongbing Zhang

  10284-10292

  2025-04-11

• Adaptive Draft-Verification for Efficient Large Language Model Decoding

  Xukun Liu, Bowen Lei, Ruqi Zhang, Dongkuan (DK) Xu

  24668-24676

  2025-04-11

• Sharing Pattern Submodels for Prediction with Missing Values

  Lena Stempfle, Ashkan Panahi, Fredrik D. Johansson

  9882-9890

  2023-06-26

• Robust Temporal Smoothness in Multi-Task Learning

  Menghui Zhou, Yu Zhang, Yun Yang, Tong Liu, Po Yang

  11426-11434

  2023-06-26

• Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks

  Govind Waghmare, Srini Rohan Gujulla Leel, Nikhil Tumbde, Sumedh B G, Sonia Gupta, Srikanta Bedathur

  26081-26089

  2026-03-14

• Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training

  Jianwu Li, Kaiyue Shi, Guo-Sen Xie, Xiaofeng Liu, Jian Zhang, Tianfei Zhou

  3109-3117

  2024-03-24

• Runtime Safety and Reach-avoid Prediction of Stochastic Systems via Observation-aware Barrier Functions

  Shenghua Feng, Jie An, Fanjiang Xu

  35437-35445

  2026-03-14

• Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly Detection

  Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang

  19884-19894

  2025-04-11

• Causal Explanation of Quality of Parent-Child Interactions with Multimodal Behavioral Features (Student Abstract)

  Katherine M. Guerrerio, Lujie Karen Chen, Lisa Berlin, Brenda Jones Harden

  29379-29381

  2025-04-11

• Learning Adversarial 3D Model Generation With 2D Image Enhancer

  Jing Zhu, Jin Xie, Yi Fang

  2018-04-27

• A Water Demand Prediction Model for Central Indiana

  Setu Shah, Mahmood Hosseini, Zina Ben Miled, Rebecca Shafer, Steve Berube

  2018-04-27

• AEDR: Training-Free AI-Generated Image Attribution via Autoencoder Double-Reconstruction

  Chao Wang, Zijin Yang, Yaofei Wang, Weiming Zhang, Kejiang Chen

  9675-9683

  2026-03-14

• Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining

  Xiaozhuang Song, Yuzhao Tu, Hangting Ye, Wei Fan, Qingquan Zhang, Xiaoxue Wang, Tianshu Yu

  755-763

  2025-04-11

• An Object-Based Bayesian Framework for Top-Down Visual Attention

  Ali Borji, Dicky Sihite, Laurent Itti

  1529-1535

  2021-09-20

• Dropouts in Confidence: Moral Uncertainty in Human-LLM Alignment

  Jea Kwon, Luiz Felipe Vecchietti, Sungwon Park, Meeyoung Cha

  37547-37555

  2026-03-14

• EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation

  Qi Zhou, Haipeng Chen, Yitao Zheng, Zhen Wang

  14602-14611

  2021-05-18

• A Universal 2-state n-action Adaptive Management Solver

  Luz Valerie Pascal, Marianne Akian, Sam Nicol, Iadine Chades

  14884-14892

  2021-05-18

• Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures

  Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang

  6801-6809

  2022-06-28

• HoneypotNet: Backdoor Attacks Against Model Extraction

  Yixu Wang, Tianle Gu, Yan Teng, Yingchun Wang, Xingjun Ma

  8087-8095

  2025-04-11

• Object-Centric Data Synthesis for Category-level Object Detection (Student Abstract)

  Vikhyat Agarwal, Jiayi Cora Guo, Declan Hoban, Sissi Zhang, Nicholas Moran, Peter Cho, Srilakshmi Pattabiraman, Shantanu Joshi

  41110-41112

  2026-03-14

• CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning

  Zihan Li, Weibin Wu, Yuxin Su, Zibin Zheng, Michael R. Lyu

  1530-1538

  2023-06-26

• Advancing Medical Multimodal Learning and Data Generation with Diffusion Model and LLM

  Yuan Zhong

  29319-29320

  2025-04-11

• Factuality Evaluation Using Reasoning and World Modeling

  Sachin Vashistha

  41090-41091

  2026-03-14

• Assessing the Impact of Population Data Domain Differences on Transfer Learning in P300-based Brain-Computer Interfaces (Student Abstract)

  Rally Lin, Christina Mo, Reyan Shariff, Darrick Zhang, Abdullah Alumar, Kaleb Kassaw, Leslie M. Collins, Boyla O. Mainsah

  29415-29417

  2025-04-11

• Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation

  Thomas Bailie, Yun Sing Koh, Neelesh Rampal, Peter B. Gibson

  21914-21922

  2024-03-24