| 2026 | Gaussian Blending: Rethinking Alpha Blending in 3D Gaussian Splatting. | Junseo Koo, Jinseo Jeong, Gunhee Kim |
| 2026 | Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition. | Xiangyu Kong, Hengde Zhu, Haoqin Sun, Zhihao Guo, Jiayan Gu, Xinyi Ni, Wei Zhang, Shizhe Liu, Siyang Song |
| 2026 | Generative AI Against Poaching: Latent Composite Flow Matching for Poaching Prediction. | Lingkai Kong, Haichuan Wang, Charles A. Emogor, Vincent Brsch-Supan, Lily Xu, Milind Tambe |
| 2026 | MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging. | Shufeng Kong, Zijie Wang, Nuan Cui, Hao Tang, Yihan Meng, Yuanyuan Wei, Feifan Chen, Yingheng Wang, Zhuo Cai, Yaonan Wang, Yulong Zhang, Yuzheng Li, Zibin Zheng, Caihua Liu, Hao Liang |
| 2026 | SACO: Sequence-Aware Constrained Optimization Framework for Coupon Distribution in E-commerce. | Li Kong, Bingzhe Wang, Zhou Chen, Suhan Hu, Yuchao Ma, Qi Qi, Suoyuan Song, Bicheng Jin |
| 2026 | SalDiff-DTM: A Novel Dual-Temporal Modulated Diffusion Model for Omnidirectional Images Scanpath Prediction. | Xiaohui Kong, Qian Liu, Dandan Zhu, Kaiwei Zhang, Xiongkuo Min |
| 2026 | Backdooring Rationalization. | Lingxiao Kong, Jiahui Jiang, Wenchao Xu, Lei Wu |
| 2026 | Time Series Forecasting via Direct Per-Step Probability Distribution Modeling. | Linghao Kong, Xiaopeng Hong |
| 2026 | Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective. | Deyang Kong, Qi Guo, Xiangyu Xi, Wei Wang, Jingang Wang, Xunliang Cai, Shikun Zhang, Wei Ye |
| 2026 | BridgeShape: Latent Diffusion Schrdinger Bridge for 3D Shape Completion. | Dequan Kong, Honghua Chen, Zhe Zhu, Mingqiang Wei |
| 2026 | LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention. | Toshiaki Koike-Akino, Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand |
| 2026 | Using Constraint Solvers to Construct Binary Codes with Good Error Correction Performance. | Stepan Kochemazov, Oleg Zaikin, Grigorii Trofimiuk, Kirill Antonov, Alexander A. Semenov |
| 2026 | Finding One Local Optimum Is Easy - but What About Two? | Yasuaki Kobayashi, Kazuhiro Kurita, Yutaro Yamaguchi |
| 2026 | On Logical Extrapolation for Mazes with Recurrent and Implicit Networks. | Brandon Knutson, Amandin Chyba Rabeendran, Michael I. Ivanitskiy, Jordan Pettyjohn, Cecilia G. Diniz Behn, Samy Wu Fung, Daniel McKenzie |
| 2026 | Object-Centric Latent Action Learning. | Albina Klepach, Alexander Nikulin, Ilya Zisman, Denis Tarasov, Alexander Derevyagin, Andrei Polubarov, Nikita Lyubaykin, Igor Kiselev, Vladislav Kurenkov |
| 2026 | Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications. | Ashley Klein, Edward Raff, Marcia DesJardin |
| 2026 | Strategic Tool Enhanced AI Agent for Multi-Issue Negotiation (Student Abstract). | Daiki Kitashima, Ryota Higa, Katsuhide Fujita |
| 2026 | Graph Choosability via SAT: Beyond the Nullstellensatz. | Markus Kirchweger, Toms Peitl, David Seka, Stefan Szeider |
| 2026 | Robust Detection of Synthetic Tabular Data Under Schema Variability. | G. Charbel N. Kindji, Elisa Fromont, Lina Maria Rojas-Barahona, Tanguy Urvoy |
| 2026 | Preference Robustness for DPO with Applications to Public Health. | Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe |
| 2026 | AEGIS: Toward Expert-in-the-loop Industrial Anomaly Detection. | Dongmin Kim, Ye Seul Sim, Suhee Yoon, Sanghyu Yoon, Seungdong Yoa, Soonyoung Lee, Woohyung Lim |
| 2026 | State-Space Hierarchical Compression with Gated Attention and Learnable Sampling for Hour-Long Video Understanding in Large Multimodal Models. | Geewook Kim, Minjoon Seo |
| 2026 | Align to Structure: Aligning Large Language Models with Structural Information. | Zae Myung Kim, Anand Ramachandran, Farideh Tavazoee, Joo-Kyung Kim, Oleg Rokhlenko, Dongyeop Kang |
| 2026 | Mitigating Length Bias in RLHF Through a Causal Lens. | Hyeonji Kim, Sujeong Oh, Sanghack Lee |
| 2026 | CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift. | HyunGi Kim, Jisoo Mok, Hyungyu Lee, Juhyeon Shin, Sungroh Yoon |