Qiyuan Zhu

According to our database, Qiyuan Zhu authored at least 20 papers between 2017 and 2026.

Collaborative distances:

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

2026

IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference.

Xintong Yang, Hao Gu, Binxing Xu, Lujun Li, Bei Liu, Jiacheng Liu, Qiyuan Zhu, Sirui Han, Yike Guo

CoRR, May, 2026

NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation.

Jinhang Xu, Qiyuan Zhu, Yujun Wu, Zirui Wang, Dongxu Zhang, Marcia Tian, Yiling Duan, Siyuan Li, Jingxuan Wei, Sirui Han, Yike Guo, Odin Zhang, Conghui He, Cheng Tan

CoRR, May, 2026

Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists.

Yujun Wu, Dongxu Zhang, Xinchen Li, Jinhang Xu, Yiling Duan, Yumou Liu, Jiabao Pan, Qiyuan Zhu, Xuanhe Zhou, Jingxuan Wei, Siyuan Li, Jintao Chen, Conghui He, Cheng Tan

CoRR, April, 2026

QaRL: Rollout-Aligned Quantization-Aware RL for Fast and Stable Training under Training-Inference Mismatch.

Hao Gu, Hao Wang, Jiacheng Liu, Lujun Li, Qiyuan Zhu, Bei Liu, Binxing Xu, Lei Wang, Xintong Yang, Sida Lin, Sirui Han, Yike Guo

CoRR, April, 2026

Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs.

Binxing Xu, Hao Gu, Lujun Li, Hao Wang, Bei Liu, Jiacheng Liu, Qiyuan Zhu, Xintong Yang, Chao Li, Sirui Han, Yike Guo

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook.

Hao Gu, Lujun Li, Hao Wang, Lei Wang, Zheyu Wang, Bei Liu, Jiacheng Liu, Qiyuan Zhu, Sirui Han, Yike Guo

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Adaptive Spatial and Temporal Redundancy Optimization for Efficient Reasoning in Large Language Models.

Tianle Chen, Pengyu Cheng, Qiyuan Zhu, Jiacheng Wang, Bei Liu, Hao Gu, Ruijie Shen, Xiaofeng Hou, Sirui Han, Jiacheng Liu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Outlier Matters: Efficient Long-to-Short Reasoning via Outlier-Guided Model Merging.

Qiyuan Zhu, Dezhi Li, Lujun Li, Xiaoyu Qin, Wei Li, Hao Gu, Hua Xu, Sirui Han, Yike Guo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging.

Lujun Li, Qiyuan Zhu, Jiacheng Wang, Xiaoyu Qin, Wei Li, Hao Gu, Sirui Han, Yike Guo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging.

Lujun Li, Qiyuan Zhu, Jiacheng Wang, Wei Li, Hao Gu, Sirui Han, Yike Guo

CoRR, June, 2025

BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook.

Hao Gu, Lujun Li, Zheyu Wang, Bei Liu, Qiyuan Zhu, Sirui Han, Yike Guo

CoRR, June, 2025

Follow-Your-Motion: Video Motion Transfer via Efficient Spatial-Temporal Decoupled Finetuning.

Yue Ma, Yulong Liu, Qiyuan Zhu, Ayden Yang, Kunyu Feng, Xinhua Zhang, Zhifeng Li, Sirui Han, Chenyang Qi, Qifeng Chen

CoRR, June, 2025

Gait recognition via weighted global-local feature fusion and attention-based multiscale temporal aggregation.

Yingqi Xu, Hao Xi, Kai Ren, Qiyuan Zhu, Chuanping Hu

J. Electronic Imaging, 2025

Outlier-Aware Model Merging for Efficient Multitask Inference.

Qiyuan Zhu, Lujun Li, Dezhi Li, Jiacheng Liu, Pengyu Cheng, Yucheng Xu, Sirui Han, Yike Guo

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Delta Decompression for MoE-based LLMs Compression.

Hao Gu, Wei Li, Lujun Li, Qiyuan Zhu, Mark G. Lee, Shengjie Sun, Wei Xue, Yike Guo

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Decentralised Traffic Incident Detection via Network Lasso.

Qiyuan Zhu, A. K. Qin, Prabath Abeysekara, Hussein Dia, Hanna Grzybowska

CoRR, 2024

An Experimental Study on Decomposition-Based Deep Ensemble Learning for Traffic Flow Forecasting.

Qiyuan Zhu, Alex Kai Qin, Hussein Dia, Adriana Simona Mihaita, Hanna Grzybowska

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023

M⁶Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis.

Hiuyi Cheng, Peirong Zhang, Sihang Wu, Jiaxin Zhang, Qiyuan Zhu, Zecheng Xie, Jing Li, Kai Ding, Lianwen Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator.

Yuxin Kong, Canjie Luo, Weihong Ma, Qiyuan Zhu, Shenggao Zhu, Nicholas Jing Yuan, Lianwen Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2017

Decentralized navigation of multiple agents based on ORCA and model predictive control.

Hui Cheng, Qiyuan Zhu, Zhongchang Liu, Tianye Xu, Liang Lin

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017