| 2026 | SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing. | Xinlei Niu, Kin Wai Cheuk, Jing Zhang, Naoki Murata, Chieh-Hsin Lai, Michele Mancusi, Woosung Choi, Giorgio Fabbro, Wei-Hsiang Liao, Charles Patrick Martin, Yuki Mitsufuji |
| 2026 | Object-Centric World Models for Causality-Aware Reinforcement Learning. | Yosuke Nishimoto, Takashi Matsubara |
| 2026 | Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering. | Yunfeng Ning, Mayi Xu, Jintao Wen, Qiankun Pi, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian |
| 2026 | Mitigating Endogenous Confirmation Bias in Noisy Label Learning for Vision-Language Models. | Feiyang Ning, Xinyang Chen |
| 2026 | Coordinated Humanoid Robot Locomotion with Symmetry Equivariant Reinforcement Learning Policy. | Buqing Nie, Yang Zhang, Rongjun Jin, Zhanxiang Cao, Huangxuan Lin, Xiaokang Yang, Yue Gao |
| 2026 | Beyond Wide-Angle Images: Structure-to-Detail Video Portrait Correction via Unsupervised Spatiotemporal Adaptation. | Wenbo Nie, Lang Nie, Chunyu Lin, Jingwen Chen, Ke Xing, Jiyuan Wang, Kang Liao |
| 2026 | 3D Gaussian Splatting for Reconstructing Large Sparse Environments (Student Abstract). | Jonathan Boel Nielsen, Xuan Huy Pham, Erdal Kayacan, Andriy Sarabakha |
| 2026 | TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems. | Yabo Ni, Yuanpeng Cao, Wenhang Zhou, Bangyang Hong, Zhongyi Zhang, Enlei Cai, Kangle Wu, Anxiang Zeng, Han Yu, Xiaoxiao Li |
| 2026 | Cross-Modal Knowledge Transfer in Time Series AI via Large Vision Models. | Jingchao Ni |
| 2026 | AutoSchA: Automatic Hierarchical Music Representations via Multi-Relational Node Isolation. | Stephen Ni-Hahn, Rico Zhu, Jerry Yin, Yue Jiang, Cynthia Rudin, Simon Mak |
| 2026 | PKR-QA: A Benchmark for Procedural Knowledge Reasoning with Knowledge Module Learning. | Thanh-Son Nguyen, Hong Yang, Tzeh Yuan Neoh, Hao Zhang, Ee Yeo Keat, Basura Fernando |
| 2026 | Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models. | Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He, Feng Xia, Xiuzhen Zhang |
| 2026 | Catching the First Light of Tomorrow: A Hackathon-Based Framework for Introducing High School Students to AI Agents. | Long Nguyen, Duc Nguyen, Quan Bui, Dung Phan, Dung Le, Khanh Nguyen, Quynh Vo, Khang Vo, Nam Duong, Anh Dinh, Tri Trinh, Chi Phan, An Nguyen, Thai Nguyen, Dang Le, Vinh Dang, Tho Quan |
| 2026 | Provably Data-Driven Projection Method for Quadratic Programming. | Anh Tuan Nguyen, Viet Anh Nguyen |
| 2026 | Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models. | Manh Nguyen, Sunil Gupta, Hung Le |
| 2026 | CTPD: Cross Tokenizer Preference Distillation. | Truong Nguyen, Phi Van Dat, Ngan Nguyen, Linh Ngo Van, Trung Le, Thanh Hong Nguyen |
| 2026 | DEGRE: Dynamic Gating Ensembles for Trust-Aware Rejection in Medical Image Diagnostics. | Hong Hai Nguyen, Duong Bach, Nam Phan, Cuong V. Nguyen, Cuong Do |
| 2026 | AHAN: Asymmetric Hierarchical Attention Network for Identical Twin Face Verification. | Hoang-Nhat Nguyen |
| 2026 | Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection. | Hong-Hanh Nguyen-Le, Van-Tuan Tran, Thuc D. Nguyen, Nhien-An Le-Khac |
| 2026 | MemoVision: A Digital Catalog for Everyday Interactions. | Lai Xing Ng, Keith Tien Wei Tang, Jacky Jie Wei Tan |
| 2026 | Hexassa: Standing on Giants' Shoulders - Routing the Best Chess Engines with Mixture-of-Experts and Latent Reward Learning. | Bach Ngo, Nguyen Hoang Khoi Do |
| 2026 | Adapting Hybrid Parallel-Head Large Language Models for Southeast Asia. | Kin Meng Ng |
| 2026 | Should You Use LLMs to Simulate Opinions? Quality Checks for Early-Stage Deliberation. | Terrence Neumann, Maria De-Arteaga, Sina Fazelpour |
| 2026 | Model AI Assignments 2026. | Todd W. Neller, Steve Geinitz, Kevin Wang, Zach Dodds, Nicholas Dodds, Ryan O'Connor, Aimen Taha, Ananta Manoranjan, Saurabh Ray, Deepak Ajwani, Fang Sun, Paul Zhang, Pranav Subbaraman, Yizhou Sun, Lisa Dunlap, Taehan Kim, Deena Sun, Ishir Garg, Mark Ogata, Aakarsh Vermani, Narges Norouzi, Joseph Gonzalez, Varada Kolhatkar |
| 2026 | Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions. | Rashmeet Kaur Nayyar, Naman Shah, Siddharth Srivastava |