Dilxat Muhtar

According to our database, Dilxat Muhtar authored at least 20 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL.

Wei Gao, Yuheng Zhao, Dilxat Muhtar, Dakai An, Xuchun Shang, Tianyuan Wu, Lunxi Cao, Shaopan Xiong, Weixun Wang, Ju Huang, Teng Ma, Siran Yang, Jiamang Wang, Lin Qu, Bo Zheng, Wei Wang

CoRR, May, 2026

Remote Sensing Image Super-Resolution for Imbalanced Textures: A Texture-Aware Diffusion Framework.

Enzhuo Zhang, Sijie Zhao, Dilxat Muhtar, Zhenshi Li, Xueliang Zhang, Pengfeng Xiao

CoRR, April, 2026

Complementary Reinforcement Learning.

Dilxat Muhtar, Jiashun Liu, Wei Gao, Weixun Wang, Shaopan Xiong, Ju Huang, Siran Yang, Wenbo Su, Jiamang Wang, Ling Pan, Bo Zheng

CoRR, March, 2026

When Does Sparsity Mitigate the Curse of Depth in LLMs.

Dilxat Muhtar, Xinyuan Song, Sebastian Pokutta, Max Zimmer, Nico Pelleriti, Thomas Hofmann, Shiwei Liu

CoRR, March, 2026

Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding?

Pengxiang Li, Dilxat Muhtar, Tianlong Chen, Lu Yin, Shiwei Liu

CoRR, February, 2026

2025

RollArt: Scaling Agentic RL Training via Disaggregated Infrastructure.

Wei Gao, Yuheng Zhao, Tianyuan Wu, Shaopan Xiong, Weixun Wang, Dakai An, Lunxi Cao, Dilxat Muhtar, Zichen Liu, Haizhou Zhao, Ju Huang, Siran Yang, Yongbin Li, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng, Wei Wang

CoRR, December, 2025

FarSLIP: Discovering Effective CLIP Adaptation for Fine-Grained Remote Sensing Understanding.

Zhenshi Li, Weikang Yu, Dilxat Muhtar, Xueliang Zhang, Pengfeng Xiao, Pedram Ghamisi, Xiao Xiang Zhu

CoRR, November, 2025

Diffusion Language Models Know the Answer Before Decoding.

Pengxiang Li, Yefan Zhou, Dilxat Muhtar, Lu Yin, Shilin Yan, Li Shen, Yi Liang, Soroush Vosoughi, Shiwei Liu

CoRR, August, 2025

Dynamic fusion of medium-resolution optical and SAR imagery for methane source infrastructure classification.

Yanglangxing He, Xueliang Zhang, Pengfeng Xiao, Zhenshi Li, Dilxat Muhtar, Feng Gu, Binxiao Liu, Pengming Feng

Int. J. Appl. Earth Obs. Geoinformation, 2025

Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models.

Dilxat Muhtar, Enzhuo Zhang, Zhenshi Li, Feng Gu, Yanglangxing He, Pengfeng Xiao, Xueliang Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning.

Yaming Yang, Dilxat Muhtar, Yelong Shen, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Weizhu Chen, Yunhai Tong

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

FDFF-Net: A Full-Scale Difference Feature Fusion Network for Change Detection in High-Resolution Remote Sensing Images.

Feng Gu, Pengfeng Xiao, Xueliang Zhang, Zhenshi Li, Dilxat Muhtar

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Cascaded Network With Coupled High-Low Frequency Features for Building Extraction.

Xinyang Chen, Pengfeng Xiao, Xueliang Zhang, Dilxat Muhtar, Luhan Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language Interpretation.

Zhenshi Li, Dilxat Muhtar, Feng Gu, Xueliang Zhang, Pengfeng Xiao, Guangjun He, Xiaoxiang Zhu

CoRR, 2024

StreamAdapter: Efficient Test Time Adaptation from Contextual Streams.

Dilxat Muhtar, Yelong Shen, Yaming Yang, Xiaodong Liu, Yadong Lu, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Weiwei Deng, Feng Sun, Xueliang Zhang, Jianfeng Gao, Weizhu Chen, Qi Zhang

CoRR, 2024

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning.

Yaming Yang, Dilxat Muhtar, Yelong Shen, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Denvy Deng, Feng Sun, Qi Zhang, Weizhu Chen, Yunhai Tong

CoRR, 2024

LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model.

Dilxat Muhtar, Zhenshi Li, Feng Gu, Xueliang Zhang, Pengfeng Xiao

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding.

Dilxat Muhtar, Xueliang Zhang, Pengfeng Xiao, Zhenshi Li, Feng Gu

IEEE Trans. Geosci. Remote. Sens., 2023

Dual-Range Context Aggregation for Efficient Semantic Segmentation in Remote Sensing Images.

Guangjun He, Zhe Dong, Pengming Feng, Dilxat Muhtar, Xueliang Zhang

IEEE Geosci. Remote. Sens. Lett., 2023

2022

Index Your Position: A Novel Self-Supervised Learning Method for Remote Sensing Images Semantic Segmentation.

Dilxat Muhtar, Xueliang Zhang, Pengfeng Xiao

IEEE Trans. Geosci. Remote. Sens., 2022