Zhenghan Chen

According to our database, Zhenghan Chen authored at least 47 papers between 2016 and 2025.

Collaborative distances:

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

2025

CbDA: Contrastive-Based Data Augmentation for Domain Generalization.

Ziyi Jiang, Liwen Zhang, Xiaoxuan Liang, Zhenghan Chen

IEEE Trans. Comput. Soc. Syst., August, 2025

Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance.

Shuchao Pang, Zhenghan Chen, Shen Zhang, Liming Lu, Siyuan Liang, Anan Du, Yongbin Zhou

CoRR, August, 2025

A Whole-Body Motion Imitation Framework from Human Data for Full-Size Humanoid Robot.

Zhenghan Chen, Haodong Zhang, Dongqi Wang, Jiyu Yu, Haocheng Xu, Yue Wang, Rong Xiong

CoRR, August, 2025

TOP: Time Optimization Policy for Stable and Accurate Standing Manipulation with Humanoid Robots.

Zhenghan Chen, Haocheng Xu, Haodong Zhang, Liang Zhang, He Li, Dongqi Wang, Jiyu Yu, Yifei Yang, Zhongxiang Zhou, Rong Xiong

CoRR, August, 2025

EMP: Executable Motion Prior for Humanoid Robot Standing Upper-body Motion Imitation.

Haocheng Xu, Haodong Zhang, Zhenghan Chen, Rong Xiong

CoRR, July, 2025

Natural Humanoid Robot Locomotion with Generative Motion Prior.

Haodong Zhang, Liang Zhang, Zhenghan Chen, Lu Chen, Yue Wang, Rong Xiong

CoRR, March, 2025

Domain-Adaptive Training for Security Health and Heterogeneously Medical Image.

Tianyue Chang, Yiding Cui, Zhenghan Chen, Xiaoxuan Liang

IEEE Trans. Consumer Electron., February, 2025

Image-to-video Adaptation with Outlier Modeling and Robust Self-learning.

Junbao Zhuo, Shuhui Wang, Zhenghan Chen, Li Shen, Qingming Huang, Huimin Ma

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Reducing Divergence in Batch Normalization for Domain Adaptation.

Ellen Yi-Ge, Mingjing Wu, Zhenghan Chen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

GEONet: Global Enhancement and Optimization Network for Lane Detection.

Suyang Xi, Yunhao Liu, Hong Ding, Mingshuo Wang, Zhenghan Chen, Xiaoxuan Liang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Improving diversity and discriminability based implicit contrastive learning for unsupervised domain adaptation.

Heng Xu, Chuanqi Shi, WenZe Fan, Zhenghan Chen

Appl. Intell., October, 2024

Multidocument Aspect Classification for Aspect-Based Abstractive Summarization.

Ye Wang, Yingmin Zhou, Mengzhu Wang, Zhenghan Chen, Zhiping Cai, Junyang Chen, Victor C. M. Leung

IEEE Trans. Comput. Soc. Syst., February, 2024

Joint Adversarial Domain Adaptation With Structural Graph Alignment.

Mengzhu Wang, Junyang Chen, Ye Wang, Shanshan Wang, Lin Li, Hao Su, Zhiguo Gong, Kaishun Wu, Zhenghan Chen

IEEE Trans. Netw. Sci. Eng., 2024

CodeAgent: Collaborative Agents for Software Engineering.

Daniel Tang, Zhenghan Chen, Kisub Kim, Yewei Song, Haoye Tian, Saad Ezzini, Yongfeng Huang, Jacques Klein, Tegawendé F. Bissyandé

CoRR, 2024

Diffusion-Driven Generative Framework for Molecular Conformation Prediction.

Bobin Yang, Jie Deng, Zhenghan Chen, Ruoxue Wu

CoRR, 2024

Semantic-Aware Contrastive Adaptation Bridges Domain Discrepancy for Unsupervised Remote Sensing.

Liwen Zhang, Ting Xu, Changyang Zeng, Qi Hao, Zhenghan Chen, Xiaoxuan Liang

IEEE Access, 2024

Autonomous Driving Roadway Feature Interpretation Using Integrated Semantic Analysis and Domain Adaptation.

Suyang Xi, Zihan Liu, Ziming Wang, Qiang Zhang, Hong Ding, Chia Chao Kang, Zhenghan Chen

IEEE Access, 2024

A Fast Motion and Foothold Planning Framework for Legged Robots on Discrete Terrain.

Jiyu Yu, Dongqi Wang, Zhenghan Chen, Ci Chen, Shuangpeng Wu, Yue Wang, Rong Xiong

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Learning to Represent Patches.

Xunzhu Tang, Haoye Tian, Zhenghan Chen, Weiguo Pian, Saad Ezzini, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption.

Nan Yin, Mengzhu Wang, Zhenghan Chen, Li Shen, Huan Xiong, Bin Gu, Xiao Luo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Semantic Patch Embedding for Security Detection: A Fine-to-Coarse Grained Approach.

Xunzhu Tang, Yewei Song, Haoye Tian, Zhenghan Chen, Jacques Klein, Tegawendé F. Bissyandé

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Semanticmapper: Region-Specific Domain Adaptation for 3D Shapes Through Lexical Delineation.

Tianci Xie, Siyang Luo, Zhenghan Chen, Xiaoxuan Liang

Proceedings of the IEEE International Conference on Acoustics, 2024

Domain Adaptive Graph Classification.

Siyang Luo, Ziyi Jiang, Zhenghan Chen, Xiaoxuan Liang

Proceedings of the IEEE International Conference on Acoustics, 2024

Federated Learning on Distributed Graphs Considering Multiple Heterogeneities.

Baiqi Li, Yedi Ma, Yufei Liu, Hongyan Gu, Zhenghan Chen, Xinli Huang

Proceedings of the IEEE International Conference on Acoustics, 2024

Mitigating Feature Homogenization in Deep Graph Architectures for Clinical Data Representation.

Suyang Xi, Bolin Yang, Zhenghan Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Adaptive Learning for Medical Image Classification across Domains.

Mingshuo Wang, Yong Zhuang, Jie Deng, Zhenghan Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Cross-Domain Transfer in Residual Networks for Clinical Image Partitioning.

Mingshuo Wang, Keyan Jin, Wenzhuo Bao, Zhenghan Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Cross-Site Adaptation for COVID-19 Diagnosis Using Graph-Based Neural Networks.

Mingshuo Wang, Yiding Cui, Zhenghan Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Multi-Level Adaptive Graph Networks for Brain MRI Classification in Neurodegenerative Disorders.

Jingyuan Dai, Xianglong Li, Zhenghan Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Dynamic Spiking Graph Neural Networks.

Nan Yin, Mengzhu Wang, Zhenghan Chen, Giulia De Masi, Huan Xiong, Bin Gu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization.

Houcheng Su, Weihao Luo, Daixian Liu, Mengzhu Wang, Jing Tang, Junyang Chen, Cong Wang, Zhenghan Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

GSENet: Global Semantic Enhancement Network for Lane Detection.

Junhao Su, Zhenghan Chen, Chenghao He, Dongzhi Guan, Changpeng Cai, Tongxi Zhou, Jiashen Wei, Wenhua Tian, Zhihuai Xie

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

UniADS: Universal Architecture-Distiller Search for Distillation Gap.

Liming Lu, Zhenghan Chen, Xiaoyu Lu, Yihang Rao, Lujun Li, Shuchao Pang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation.

Junyang Chen, Guoxuan Zou, Pan Zhou, Yirui Wu, Zhenghan Chen, Houcheng Su, Huan Wang, Zhiguo Gong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Just-in-Time Security Patch Detection - LLM At the Rescue for Data Augmentation.

Xunzhu Tang, Zhenghan Chen, Kisub Kim, Haoye Tian, Saad Ezzini, Jacques Klein

CoRR, 2023

Hyperbolic Code Retrieval: A Novel Approach for Efficient Code Search Using Hyperbolic Space Embeddings.

Xunzhu Tang, Zhenghan Chen, Saad Ezzini, Haoye Tian, Yewei Song, Jacques Klein, Tegawendé F. Bissyandé

CoRR, 2023

Multilevel Semantic Embedding of Software Patches: A Fine-to-Coarse Grained Approach Towards Security Patch Detection.

Xunzhu Tang, Zhenghan Chen, Saad Ezzini, Haoye Tian, Yewei Song, Jacques Klein, Tegawendé F. Bissyandé

CoRR, 2023

Unsupervised Grammatical Correction With Optimized Layer Normalization and Dynamic Embedding Enhancement.

Yin Wang, Zhenghan Chen

IEEE Access, 2023

A Closer Look at Classifier in Adversarial Domain Generalization.

Ye Wang, Junyang Chen, Mengzhu Wang, Hao Li, Wei Wang, Houcheng Su, Zhihui Lai, Wei Wang, Zhenghan Chen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

TE-KWS: Text-Informed Speech Enhancement for Noise-Robust Keyword Spotting.

Dong Liu, Qirong Mao, Lijian Gao, Qinghua Ren, Zhenghan Chen, Ming Dong

Proceedings of the 31st ACM International Conference on Multimedia, 2023

LGFat-RGCN: Faster Attention with Heterogeneous RGCN for Medical ICD Coding Generation.

Zhenghan Chen, Changzeng Fu, Ruoxue Wu, Ye Wang, Xunzhu Tang, Xiaoxuan Liang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

HAG: Hierarchical Attention with Graph Network for Dialogue Act Classification in Conversation.

Changzeng Fu, Zhenghan Chen, Jiaqi Shi, Bowen Wu, Chaoran Liu, Carlos Toshinori Ishi, Hiroshi Ishiguro

Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-domain Fake News Detection with Fuzzy Labels.

Zhenghan Chen, Changzeng Fu, Xunzhu Tang

Proceedings of the Database Systems for Advanced Applications. DASFAA 2023 International Workshops, 2023

2022

Synergy Masks of Domain Attribute Model DaBERT: Emotional Tracking on Time-Varying Virtual Space Communication.

Ye Wang, Zhenghan Chen, Changzeng Fu

Sensors, 2022

2021

Image Recommendation Algorithm Combined with Deep Neural Network Designed for Social Networks.

Shaohui Du, Zhenghan Chen, Haoyan Wu, Yihong Tang, YuanQing Li

Complex., 2021

2017

Cooperative particle swarm optimization using MapReduce.

Yang Wang, Yangyang Li, Zhenghan Chen, Yu Xue

Soft Comput., 2017

2016

Quantum-Behaved Particle Swarm Optimization Using MapReduce.

Yangyang Li, Zhenghan Chen, Yang Wang, Licheng Jiao

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016