| 2026 | SparseRM: A Lightweight Preference Modeling with Sparse Autoencoder. | Dengcan Liu, Jiahao Li, Zheren Fu, Yi Tu, Jiajun Li, Zhendong Mao, Yongdong Zhang |
| 2026 | PCSR: Pseudo-label Consistency-Guided Sample Refinement for Noisy Correspondence Learning. | Zhuoyao Liu, Yang Liu, Wentao Feng, Shudong Huang |
| 2026 | Improving Sustainability of Adversarial Examples in Class-Incremental Learning. | Taifeng Liu, Xinjing Liu, Liangqiu Dong, Yang Liu, Yilong Yang, Zhuo Ma |
| 2026 | Brains vs. Algorithms? How Experts and Students See AI-Generated Distractors. | Zifeng Liu, Hai Li, Jie Chao, Wanli Xing |
| 2026 | MoEGaze: A Mixture of Experts Approach for Generalizable Gaze Estimation. | Zheng Liu, Feng Lu |
| 2026 | ME-SFDA: Marginal Exploration with Pyramidal Atkinson-Shiffrin Memory for Source-Free Domain Adaptation. | Chunzhi Liu, Yuwu Lu |
| 2026 | A Framework for Belief-based Programs and Their Verification (Abstract Reprint). | Daxin Liu, Gerhard Lakemeyer |
| 2026 | Efficient Preference Alignment via Pareto Exploration (Student Abstract). | Pengfei Liu, Rui Kong, Zongzhang Zhang |
| 2026 | La La LiDAR: Large-Scale Layout Generation from LiDAR Data. | Youquan Liu, Lingdong Kong, Weidong Yang, Xin Li, Alan Liang, Runnan Chen, Ben Fei, Tongliang Liu |
| 2026 | Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models. | Ziwei Liu, Borui Kang, Wei Li, Hangjie Yuan, Yanbing Yang, Wenbin Li, Yifan Zhu, Tao Feng, Jun Luo |
| 2026 | Targeting Misalignment: A Conflict-Aware Framework for Reward-Model-based LLM Alignment. | Zixuan Liu, Siavash H. Khajavi, Guangkai Jiang, Xinru Liu |
| 2026 | Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production. | Junhua Liu, Tan Yong Keat, Bin Fu, Kwan Hui Lim |
| 2026 | On the Alignment of Large Language Models with Global Human Opinion. | Yang Liu, Masahiro Kaneko, Chenhui Chu |
| 2026 | ReasonAct: Progressive Training for Fine-Grained Video Reasoning in Small Models. | Jiaxin Liu, Zhaolu Kang |
| 2026 | Practical Global and Local Bounds in Gaussian Process Regression via Chaining. | Junyi Liu, Stanley Kok |
| 2026 | Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection. | Zhaowei Liu, Leilei Jiang, Haitao Yang |
| 2026 | GeoShield: Safeguarding Geolocation Privacy from Vision-Language Models via Adversarial Perturbations. | Xinwei Liu, Xiaojun Jia, Yuan Xun, Simeng Qin, Xiaochun Cao |
| 2026 | DarkBench+: An Extended Benchmark for Evaluating Dark Patterns in Large Language Models. | Yaowen Liu, Shenjia Jing, Yufei Wei, Shoumin Zhang, Jinglu Zhang, Zhen Mei, Liangliang Yue, Jiarui Wang, Peng Zhang |
| 2026 | De-biased Natural Language Egocentric Task Verification via Prototypical Evidence Learning. | Chong Liu, Xun Jiang, Fumin Shen, Lei Zhu, Jingkuan Song, Heng Tao Shen, Xing Xu |
| 2026 | Few-Shot Precise Event Spotting via Unified Multi-Entity Graph and Distillation. | Zhaoyu Liu, Kan Jiang, Murong Ma, Zhe Hou, Yun Lin, Jin Song Dong |
| 2026 | Generic Adversarial Attack Framework Against Graph-based Vertical Federated Learning. | Yimin Liu, Peng Jiang, Qi Liu, Liehuang Zhu |
| 2026 | DA-DFGAS: Differentiable Federated Graph Neural Architecture Search with Distribution-Aware Attentive Aggregation. | Zhaowei Liu, Yihao Jiang, Rufei Gao, Jinglei Liu, Dong Yang |
| 2026 | PathFLIP: Fine-grained Language-Image Pretraining for Versatile Computational Pathology. | Fengchun Liu, Songhan Jiang, Linghan Cai, Ziyue Wang, Yongbing Zhang |
| 2026 | Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation. | Emily Liu, Kuan Han, Minfeng Zhan, Bocheng Zhao, Guanyu Mu, Yang Song |
| 2026 | SOAR: Semi-Supervised Open-Vocabulary Aerial Object Detection via Dual-Aware Enhanced Prior Denoising. | Xu Liu, Yihong Huang, Dan Zhang, Lingling Li, Long Sun, Licheng Jiao |