| 2026 | Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration. | Jinyoung Park, Minseong Bae, Jeehye Na, Hyunwoo J. Kim |
| 2026 | Fairness in the Multi-Secretary Problem. | Georgios Papasotiropoulos, Zein Pishbin |
| 2026 | BiO-HMC: Dynamic Human-Machine Collaboration for Consensus Decision-Making via Bilevel Optimization. | Yinghui Pan, Shuaijie Zhao, Shenbao Yu, Zongyang Liu, Yifeng Zeng, Han Liu, Mingwei Lin |
| 2026 | TFD-Net: Towards Intelligent Time-Frequency Mode Decomposition with Practical Applications. | Pingping Pan, Yunjian Zhang, Jinyi Liu |
| 2026 | On the Misalignment Between Data Learnability and Forgettability in Machine Unlearning. | Zijie Pan, Zuobin Ying, Yajie Wang, Wanlei Zhou |
| 2026 | FGD-Align: Pluralistic Alignment for Large Language Models via Fuzzy Group Decision-Making. | Weihang Pan, Zhengxu Yu, Yong Wu, Xun Liang, Zhongming Jin, Qiang Fu, Penghui Shang, Binbin Lin, Xiaofei He, Jieping Ye |
| 2026 | SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation. | Jiayi Pan, Jiaming Xu, Yongkang Zhou, Guohao Dai |
| 2026 | RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models. | Dayan Pan, Jingyuan Wang, Yilong Zhou, Jiawei Cheng, Pengyue Jia, Xiangyu Zhao |
| 2026 | An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint). | Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip Torr |
| 2026 | WALKSAFE: Risk-aware Graph Random Walk with Bi-GRPO for LLM Safety. | Shilong Pan, Zhiliang Tian, Wanlong Yu, Zhen Huang, Qingyu Qiu, Zihan Chen, Zhonghao Sun, Minlie Huang, Dongsheng Li |
| 2026 | OneLIP: Unlocking and Improving Long-Text Representations of CLIP via One-Stage Adaptation. | Renjie Pan, Jiayan Song, Hua Yang |
| 2026 | Re-architecting Personalized Federated Learning for Demanding Edge Environments. | Quyang Pan, Sheng Sun, Tingting Wi, Zhiyuan Wu, Yuwei Wang, Min Liu, Bo Gao, Jingyuan Wang |
| 2026 | Tracing the Heart's Pathways: ECG Representation Learning from a Cardiac Conduction Perspective. | Tan Pan, Yixuan Sun, Chen Jiang, Qiong Gao, Rui Sun, Xingmeng Zhang, Zhenqi Yang, Limei Han, Yixiu Liang, Yuan Cheng, Kaiyu Guo |
| 2026 | Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model. | Junshu Pan, Wei Shen, Shulin Huang, Qiji Zhou, Yue Zhang |
| 2026 | Bias Association Discovery Framework for Open-Ended LLM Generations. | Jinhao Pan, Chahat Raj, Ziwei Zhu |
| 2026 | Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time. | Junjun Pan, Yixin Liu, Chuan Zhou, Fei Xiong, Alan Wee-Chung Liew, Shirui Pan |
| 2026 | OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks. | Bangqi Pan, Jianfeng Lu, Shuqin Cao, Xiao Zhang, Gang Li, Guanghui Wen |
| 2026 | Image-Text Knowledge Modeling for Unsupervised Multi-Scenario Person Re-Identification. | Zhiqi Pang, Lingling Zhao, Yang Liu, Chunyu Wang, Gaurav Sharma |
| 2026 | MoCHA: Advanced Vision-Language Reasoning with MoE Connector and Hierarchical Group Attention. | Yuqi Pang, Bowen Yang, Yun Cao, Fan Rong, Xiaoyu Li, Chen He |
| 2026 | Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data. | Yiran Pang, Zhen Ni, Xiangnan Zhong |
| 2026 | Next Patch Prediction for AutoRegressive Visual Generation. | Yatian Pang, Peng Jin, Shuo Yang, Bin Zhu, Bin Lin, Chaoran Feng, Zhenyu Tang, Liuhan Chen, Francis E. H. Tay, Ser-Nam Lim, Harry Yang, Li Yuan |
| 2026 | Ground What You See: Hallucination-Resistant MLLMs via Caption Feedback, Diversity-Aware Sampling, and Conflict Regularization. | Miao Pan, Wangjie Gan, Jintao Chen, Wenqi Zhang, Bing Sun, Jianwei Yin, Xuhong Zhang |
| 2026 | ProRefine: Inference-Time Prompt Refinement with Textual Feedback (Student Abstract). | Deepak Pandita, Tharindu Cyril Weerasooriya, Ankit Shah, Isabelle Diana May-Xin Ng, Christopher M. Homan, Wei Wei |
| 2026 | Forest vs Tree: The (N, K) Trade-off in Reproducible ML Evaluation. | Deepak Pandita, Flip Korn, Chris Welty, Christopher M. Homan |
| 2026 | Refine and Align: Confidence Calibration Through Multi-Agent Interaction in VQA. | Ayush Pandey, Jai Bardhan, Ishita Jain, Ramya S. Hebbalaguppe, Rohan Raju Dhanakshirur, Lovekesh Vig |