Zhen Huang

According to our database, Zhen Huang authored at least 34 papers between 2020 and 2026.

Collaborative distances:

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

2026

Therm-FM: Foundation Model is ALL YOU NEED for 3D-ICs Thermal Simulation.

Zhen Huang, Haiyang Xin, Wenkai Yang, Yangbo Wei, Zhiping Yu, Yu Zhang, Wei W. Xing, Ting-Jung Lin, Lei He

CoRR, May, 2026

PASS-Tr: PAtch-wise swin slice attention to leverage generalization of 2D large vision model to universal lesion detection.

Han Li, Jingsong Liu, Zhen Huang, Zhicheng Li, Xun Ma, Peter Schüffler, Nassir Navab, S. Kevin Zhou

Medical Image Anal., 2026

VFlow: Discovering Optimal Agentic Workflows for Verilog Generation.

Yangbo Wei, Zhen Huang, Lei He, Li Huang, Ting-Jung Lin, Wei W. Xing

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality.

Wei Li, Zhen Huang, Xinmei Tian

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

MedAtlas: Evaluating LLMs for Multi-Round, Multi-Task Medical Reasoning Across Diverse Imaging Modalities and Clinical Text.

Ronghao Xu, Zhen Huang, Yangbo Wei, Xiaoqian Zhou, Zikang Xu, Ting Liu, Zihang Jiang, S. Kevin Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Mixture-of-Trees: Learning to Select and Weigh Reasoning Paths for Efficient LLM Inference.

Yangbo Wei, Zhen Huang, Shaoqiang Lu, Junhong Qian, Dongge Qin, Ting-Jung Lin, Wei W. Xing, Chen Wu, Lei He

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs.

Chenghao Sun, Zhen Huang, Yonggang Zhang, Xinmei Tian, Xu Shen, Jieping Ye

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ModelGen: Automating Semiconductor Parameter Extraction with Large Language Model Agents.

Yangbo Wei, Li Huang, Qi Feng, Zhanfei Chen, Jinlong Yan, Ting-Jung Lin, Zhen Huang, Kun Ren, Wei W. Xing, Lei He

ACM Trans. Design Autom. Electr. Syst., November, 2025

VFlow: Discovering Optimal Agentic Workflows for Verilog Generation.

Yangbo Wei, Zhen Huang, Huang Li, Wei W. Xing, Ting-Jung Lin, Lei He

CoRR, April, 2025

H3DE-Net: Efficient and Accurate 3D Landmark Detection in Medical Imaging.

Zhen Huang, Ronghao Xu, Xiaoqian Zhou, Yangbo Wei, Suhua Wang, Xiaoxin Sun, Han Li, Qingsong Yao

CoRR, February, 2025

CASEMark: A hybrid model for robust anatomical landmark detection in multi-structure X-rays.

Zhen Huang, Xiaoqian Zhou, Xu He, Yangbo Wei, Wenkai Yang, Suhua Wang, Xiaoxin Sun, Han Li

J. King Saud Univ. Comput. Inf. Sci., 2025

U-RWKV: Lightweight Medical Image Segmentation with Direction-Adaptive RWKV.

Hongbo Ye, Fenghe Tang, Peiang Zhao, Zhen Huang, Dexin Zhao, Minghao Bian, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

SimCroP: Radiograph Representation Learning with Similarity-Driven Cross-Granularity Pre-training.

Rongsheng Wang, Fenghe Tang, Qingsong Yao, Rui Yan, Xu Zhang, Zhen Huang, Haoran Lai, Zhiyang He, Xiaodong Tao, Zihang Jiang, S. Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Landmarks Are Alike Yet Distinct: Harnessing Similarity and Individuality for One-Shot Medical Landmark Detection.

Xu He, Zhen Huang, Qingsong Yao, Xiaoqian Zhou, S. Kevin Zhou

Proceedings of the Oral and Dental Image Analysis - First International Workshop, 2025

PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation.

Shenghao Chen, Zhen Huang, Xiaoqian Zhou, Han Li, Chunjiang Wang, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Eliminating Ambiguities in One-Shot Medical Landmark Detection via Mask Drawing.

Xu He, Zhen Huang, Xiaoqian Zhou, S. Kevin Zhou

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

A Unified Framework for Few-Shot Medical Image Classification via Multi-agent Description Generation and Refined Contrastive Learning.

Shenghao Chen, Zhen Huang, Xiaoqian Zhou, S. Kevin Zhou

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Self-Attention to Operator Learning-based 3D-IC Thermal Simulation.

Zhen Huang, Hong Wang, Wenkai Yang, Muxi Tang, Depeng Xie, Ting-Jung Lin, Yu Zhang, Wei W. Xing, Lei He

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

MECoT: Markov Emotional Chain-of-Thought for Personality-Consistent Role-Playing.

Yangbo Wei, Zhen Huang, Fangzhou Zhao, Qi Feng, Wei W. Xing

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings.

Chenghao Sun, Zhen Huang, Yonggang Zhang, Le Lu, Houqiang Li, Xinmei Tian, Xu Shen, Jieping Ye

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models.

Wei Li, Zhen Huang, Houqiang Li, Le Lu, Yang Lu, Xinmei Tian, Xu Shen, Jieping Ye

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

PELE scores: pelvic X-ray landmark detection with pelvis extraction and enhancement.

Zhen Huang, Han Li, Shitong Shao, Heqin Zhu, Huijie Hu, Zhiwei Cheng, Jianji Wang, S. Kevin Zhou

Int. J. Comput. Assist. Radiol. Surg., May, 2024

HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection.

Xiaoqian Zhou, Zhen Huang, Heqin Zhu, Qingsong Yao, S. Kevin Zhou

CoRR, 2024

From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning.

Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding.

Wei Li, Zhen Huang, Xinmei Tian, Le Lu, Houqiang Li, Xu Shen, Jieping Ye

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models.

Shitong Shao, Xiaohan Yuan, Zhen Huang, Ziming Qiu, Shuai Wang, S. Kevin Zhou

CoRR, 2023

Teaching What You Should Teach: A Data-Based Distillation Method.

Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao Wu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Learning What You Should Learn.

Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao Wu

CoRR, 2022

Toward Real-world Single Image Deraining: A New Benchmark and Beyond.

Wei Li, Qiming Zhang, Jing Zhang, Zhen Huang, Xinmei Tian, Dacheng Tao

CoRR, 2022

Exploring Fourier Prior for Single Image Rain Removal.

Xin Guo, Xueyang Fu, Man Zhou, Zhen Huang, Jialun Peng, Zheng-Jun Zha

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization.

Xin Jin, Tianyu He, Kecheng Zheng, Zhiheng Yin, Xu Shen, Zhen Huang, Ruoyu Feng, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua

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

2021

3D Local Convolutional Neural Networks for Gait Recognition.

Zhen Huang, Dixiu Xue, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Revisiting Knowledge Distillation: An Inheritance and Exploration Framework.

Zhen Huang, Xu Shen, Jun Xing, Tongliang Liu, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition.

Zhen Huang, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020