| 2026 | Multimodal Large Language Models for Multi-Subject In-Context Image Generation. | Yucheng Zhou, Dubing Chen, Huan Zheng, Jianbing Shen |
| 2026 | DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding. | Jiaming Zhou, Xuxin Cheng, Shiwan Zhao, Yuhang Jia, Cao Liu, Ke Zeng, Xunliang Cai, Yong Qin |
| 2026 | Auto-Stega: An Agent-Driven System for Lifelong Strategy Evolution in LLM-Based Text Steganography. | Jiuan Zhou, Yu Cheng, Yuan Xie, Zhaoxia Yin |
| 2026 | One Refiner to Unlock Them All: Inference-Time Reasoning Elicitation via Reinforcement Query Refinement. | Yixiao Zhou, Dongzhou Cheng, Zhiliang Wu, Yi Yang, Yu Cheng, Hehe Fan |
| 2026 | dLLM: Simple Diffusion Language Modeling. | Zhanhui Zhou, Lingjie Chen, Hanghang Tong, Dawn Song |
| 2026 | PRISM: Probabilistic Reward Model with Inherent Structural Modeling. | Yuhang Zhou, Yixin Cao, Yuchen Ni, Shihan Dou, Xutian Chen, Ge Zhang, Xiang Liu, Guangnan Ye |
| 2026 | Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models. | Chenxi Zhou, Pengfei Cao, Jiang Li, Bohan Yu, Jinyu Ye, Jun Zhao, Kang Liu |
| 2026 | From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization. | Chenxi Zhou, Pengfei Cao, Jiang Li, Bohan Yu, Jinyu Ye, Jun Zhao, Kang Liu |
| 2026 | DynamicFocalPO: Adaptive Focusing Strategy for Preference Optimization. | Shu Zhou, Junan Chen, Rui Ling, Xin Wang, Tao Fan, Hao Wang |
| 2026 | Diffusion with Truncated Blocks: Fast and High-Quality Text Generation using Truncated Block Generation. | Yuyan Zhou, Weiyu Chen, James T. Kwok |
| 2026 | Vector Calligrapher: Generating Scalable Vector Graphics via Structured Linguistic Supervision. | Bo Zhou, Xikang Chen, Yan Gong, Yin Zhang |
| 2026 | IF-GEO: Conflict-Aware Instruction Fusion for Multi-Query Generative Engine Optimization. | Heyang Zhou, Jiajia Chen, Xiaolu Chen, Jie Bao, Zhen Chen, Yong Liao |
| 2026 | Robust Uncertainty Quantification for Self-Evolving Large Language Models via Continual Domain Pretraining. | Xiaofan Zhou, Lu Cheng |
| 2026 | Modeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive Crowding. | Lin Zhong, Siyu Zhu, Zizhen Yuan, Jinhao Cui, Xinyang Zhao, Lingzhi Wang, Hao Chen, Qing Liao |
| 2026 | Cognitive Policy-Driven LLM for Diagnosis and Intervention of Cognitive Distortions in Emotional Support Conversation. | Lin Zhong, Renjin Zhu, Shujuan Ma, Jinhao Cui, Lingzhi Wang, Hao Chen, Qing Liao |
| 2026 | Collaborative Multi-Agent Scripts Generation for Enhancing Imperfect-Information Reasoning in Murder Mystery Games. | Keyang Zhong, Junlin Xie, Hefeng Wu, Haofeng Li, Guanbin Li |
| 2026 | Activation Decomposition and Steering for LLM Backdoor Remediation. | Lingfeng Zhong, Qiongkai Xu, Usman Naseem |
| 2026 | Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration. | Linhao Zhong, Linyu Wu, Wen Wang, Yuling Xi, Chenchen Jing, Jiaheng Zhang, Hao Chen, Chunhua Shen |
| 2026 | Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models. | Linhao Zhong, Linyu Wu, Bozhen Fang, Tianjian Feng, Chenchen Jing, Wen Wang, Jiaheng Zhang, Hao Chen, Chunhua Shen |
| 2026 | Multimodal Chemical Structure-Text Coreference in Intellectual Property via Rule-guided Reinforcement Learning. | Hanmeng Zhong, Wentao Wu, Linqing Chen, Peng Zhou |
| 2026 | GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models. | Yuan Zhong, Chuanwei Ruan, Moein Hasani, Tejaswi Tenneti, Haixun Wang, Fenglong Ma |
| 2026 | LLEOT: A Privacy-Enhancing Offsite Tuning Framework via Loss Landscape Elevation. | Jin Zhong, Jinglin Liang, Tongtong Yang, Zijian Xie, Shuangping Huang, Hanlin Gu |
| 2026 | Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative Verifier. | Jianyuan Zhong, Zeju Li, Zhijian Xu, Xiangyu Wen, Kezhi Li, Qiang Xu |
| 2026 | Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement. | Qimin Zhong, Hao Liao, Haiming Qin, Mingyang Zhou, Rui Mao, Wei Chen, Naipeng Chao |
| 2026 | Learning from Failures: Error Notebook-guided Secure Code Generation. | Xinyu Zhong, Peng Lan, Zhifang Liao |