Qizhen Lan

According to our database, Qizhen Lan authored at least 27 papers between 2022 and 2026.

Collaborative distances:

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

2026

Detail Consistent Stage-Wise Distillation for Efficient 3D MRI Segmentation.

Mengchen Fan, Baocheng Geng, Xi Xiao, Tianyang Wang, Siyuan Mei, Pulin Che, Xiaoqian Jiang, Qizhen Lan

CoRR, May, 2026

SkillGenBench: Benchmarking Skill Generation Pipelines for LLM Agents.

Yifan Zhou, Zhentao Zhang, Ziming Cheng, Shuo Zhang, Qizhen Lan, Zhangquan Chen, Zhi Yang, QianyuXu, Ronghao Chen, Huacan Wang, Sen Hu

CoRR, May, 2026

UIPress: Bringing Optical Token Compression to UI-to-Code Generation.

Dasen Dai, Shuoqi Li, Ronghao Chen, Huacan Wang, Biao Wu, Qizhen Lan

CoRR, April, 2026

EpochX: Building the Infrastructure for an Emergent Agent Civilization.

Huacan Wang, Chaofa Yuan, Xialie Zhuang, Tu Hu, Shuo Zhang, Jun Han, Shi Wei, Daiqiang Li, Jingping Liu, Kunyi Wang, Zihan Yin, Zhenheng Tang, Andy Wang, Henry Peng Zou, Philip S. Yu, Sen Hu, Qizhen Lan, Ronghao Chen

CoRR, March, 2026

Learnable Instance Attention Filtering for Adaptive Detector Distillation.

Chen Liu, Qizhen Lan, Zhicheng Ding, Xinyu Chu, Qing Tian

CoRR, March, 2026

From Performance to Practice: Knowledge-Distilled Segmentator for On-Premises Clinical Workflows.

Qizhen Lan, Aaron Choi, Jun Ma, Bo Wang, Zhaogming Zhao, Xiaoqian Jiang, Yu-Chun Hsu

CoRR, January, 2026

ReCo-KD: Region- and Context-Aware Knowledge Distillation for Efficient 3D Medical Image Segmentation.

Qizhen Lan, Yu-Chun Hsu, Nida Saddaf Khan, Xiaoqian Jiang

CoRR, January, 2026

KnowMe-Bench: Benchmarking Person Understanding for Lifelong Digital Companions.

Tingyu Wu, Zhisheng Chen, Ziyan Weng, Shuhe Wang, Chenglong Li, Shuo Zhang, Sen Hu, Silin Wu, Qizhen Lan, Huacan Wang, Ronghao Chen

CoRR, January, 2026

ComfySearch: Autonomous Exploration and Reasoning for ComfyUI Workflows.

Jinwei Su, Qizhen Lan, Zeyu Wang, Yinghui Xia, Hairu Wen, Yiqun Duan, Xi Xiao, Tianyu Shi, JingSong Yang, Lewei He

CoRR, January, 2026

Difficulty-Aware Agentic Orchestration for Query-Specific Multi-Agent Workflows.

Jinwei Su, Qizhen Lan, Yinghui Xia, Lifan Sun, Weiyou Tian, Tianyu Shi, Lewei He

Proceedings of the ACM Web Conference 2026, 2026

CLoCKDistill: Consistent Location and Context aware Knowledge Distillation for DETRs.

Qizhen Lan, Qing Tian

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Visual Detector Compression via Location-Aware Discriminant Analysis.

Qizhen Lan, Jung Im Choi, Qing Tian

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Lost in Distortion: Uncovering the Domain Gap Between Computer Vision and Brain Imaging - a Study on Pretraining for Age Prediction.

Yanteng Zhang, Songheng Li, Zeyu Shen, Qizhen Lan, Lipei Zhang, Yang Liu, Vince D. Calhoun

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Fed-SE: Federated Self-Evolution for Privacy-Constrained Multi-Environment LLM Agents.

Xiang Chen, Yuling Shi, Qizhen Lan, Yuchao Qiu, Xiaodong Gu

CoRR, December, 2025

Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning.

Zhisheng Chen, Yingwei Zhang, Qizhen Lan, Tianyu Liu, Huacan Wang, Yi Ding, Ziyu Jia, Ronghao Chen, Kun Wang, Xinliang Zhou

CoRR, September, 2025

Remote Sensing-Oriented World Model.

Yuxi Lu, Biao Wu, Zhidong Li, Kunqi Li, Chenya Huang, Huacan Wang, Qizhen Lan, Ronghao Chen, Ling Chen, Bin Liang

CoRR, September, 2025

Difficulty-Aware Agent Orchestration in LLM-Powered Workflows.

Jinwei Su, Yinghui Xia, Qizhen Lan, Xinyuan Song, Chen Chen, JingSong Yang, Lewei He, Tianyu Shi

CoRR, September, 2025

Improving Deep Detector Robustness via Detection-Related Discriminant Maximization and Reorganization.

Jung Im Choi, Qizhen Lan, Qing Tian

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

ETT-CKGE: Efficient Task-Driven Tokens for Continual Knowledge Graph Embedding.

Lijing Zhu, Qizhen Lan, Qing Tian, Wenbo Sun, Li Yang, Lu Xia, Yixin Xie, Xi Xiao, Tiehang Duan, Cui Tao, Shuteng Niu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Target-Driven and Student-Centered Knowledge Distillation for Traffic Object Tracking.

Zhicheng Ding, Qizhen Lan, Qing Tian

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

ACAM-KD: Adaptive and Cooperative Attention Masking for Knowledge Distillation.

Qizhen Lan, Qing Tian

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Gradient-Guided Knowledge Distillation for Object Detectors.

Qizhen Lan, Qing Tian

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation.

Wentao Wang, Xi Xiao, Mingjie Liu, Qizhen Lan, Xuanyao Huang, Qing Tian, Swalpa Kumar Roy, Tianyang Wang

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

2023

Instance, Scale, and Teacher Adaptive Knowledge Distillation for Visual Detection in Autonomous Driving.

Qizhen Lan, Qing Tian

IEEE Trans. Intell. Veh., March, 2023

SKGHOI: Spatial-Semantic Knowledge Graph for Human-Object Interaction Detection.

Lijing Zhu, Qizhen Lan, Alvaro Velasquez, Houbing Song, Acharya Kamal, Qing Tian, Shuteng Niu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Adaptive Instance Distillation for Object Detection in Autonomous Driving.

Qizhen Lan, Qing Tian

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Geospatial Clustering Analysis on Drug Abuse Emergencies.

Jinha Lee, Jung Im Choi, Arthur Yeh, Qizhen Lan, Hyojung Kang

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022