Quantum-Behaved Particle Swarm Optimization Using MapReduce. - Yangyang Li 001; Zhenghan Chen; Yang Wang 075; Licheng Jiao (BIC-TA (2), 2016)

Cooperative particle swarm optimization using MapReduce. - Yang Wang 075; Yangyang Li 001; Zhenghan Chen; Yu Xue 003 (Soft Comput., 2017)

Image Recommendation Algorithm Combined with Deep Neural Network Designed for Social Networks. - Shaohui Du; Zhenghan Chen; Haoyan Wu; Yihong Tang; YuanQing Li (Complex., 2021)

Synergy Masks of Domain Attribute Model DaBERT: Emotional Tracking on Time-Varying Virtual Space Communication. - Ye Wang 023; Zhenghan Chen; Changzeng Fu (Sensors, 2022)

Multi-domain Fake News Detection with Fuzzy Labels. - Zhenghan Chen; Changzeng Fu; Xunzhu Tang (DASFAA (Workshops), 2023)

HAG: Hierarchical Attention with Graph Network for Dialogue Act Classification in Conversation. - Changzeng Fu; Zhenghan Chen; Jiaqi Shi; Bowen Wu 002; Chaoran Liu; Carlos Toshinori Ishi; Hiroshi Ishiguro (ICASSP, 2023)

LGFat-RGCN: Faster Attention with Heterogeneous RGCN for Medical ICD Coding Generation. - Zhenghan Chen; Changzeng Fu; Ruoxue Wu; Ye Wang 023; Xunzhu Tang; Xiaoxuan Liang 002 (ACM 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 001 (ACM Multimedia, 2023)

A Closer Look at Classifier in Adversarial Domain Generalization. - Ye Wang 023; Junyang Chen 001; Mengzhu Wang; Hao Li 058; Wei Wang 335; Houcheng Su; Zhihui Lai 001; Wei Wang 077; Zhenghan Chen (ACM Multimedia, 2023)

Unsupervised Grammatical Correction With Optimized Layer Normalization and Dynamic Embedding Enhancement. - Yin Wang; Zhenghan Chen (IEEE Access, 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)

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)

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)

Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation. - Junyang Chen 001; Guoxuan Zou; Pan Zhou 001; Yirui Wu; Zhenghan Chen; Houcheng Su; Huan Wang 005; Zhiguo Gong (AAAI, 2024)

UniADS: Universal Architecture-Distiller Search for Distillation Gap. - Liming Lu; Zhenghan Chen; Xiaoyu Lu; Yihang Rao; Lujun Li 001; Shuchao Pang (AAAI, 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 (AAAI, 2024)

Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization. - Houcheng Su; Weihao Luo; Daixian Liu; Mengzhu Wang; Jing Tang; Junyang Chen 001; Cong Wang 018; Zhenghan Chen (AAAI, 2024)

Dynamic Spiking Graph Neural Networks. - Nan Yin; Mengzhu Wang; Zhenghan Chen; Giulia De Masi; Huan Xiong; Bin Gu 001 (AAAI, 2024)

Multi-Level Adaptive Graph Networks for Brain MRI Classification in Neurodegenerative Disorders. - Jingyuan Dai; Xianglong Li; Zhenghan Chen (BIBM, 2024)

Cross-Site Adaptation for COVID-19 Diagnosis Using Graph-Based Neural Networks. - Mingshuo Wang; Yiding Cui; Zhenghan Chen (BIBM, 2024)

Cross-Domain Transfer in Residual Networks for Clinical Image Partitioning. - Mingshuo Wang; Keyan Jin; Wenzhuo Bao; Zhenghan Chen (BIBM, 2024)

Adaptive Learning for Medical Image Classification across Domains. - Mingshuo Wang; Yong Zhuang; Jie Deng; Zhenghan Chen (BIBM, 2024)

Mitigating Feature Homogenization in Deep Graph Architectures for Clinical Data Representation. - Suyang Xi; Bolin Yang; Zhenghan Chen (BIBM, 2024)

Federated Learning on Distributed Graphs Considering Multiple Heterogeneities. - Baiqi Li; Yedi Ma; Yufei Liu; Hongyan Gu; Zhenghan Chen; Xinli Huang (ICASSP, 2024)

Domain Adaptive Graph Classification. - Siyang Luo; Ziyi Jiang; Zhenghan Chen; Xiaoxuan Liang 002 (ICASSP, 2024)

Semanticmapper: Region-Specific Domain Adaptation for 3D Shapes Through Lexical Delineation. - Tianci Xie; Siyang Luo; Zhenghan Chen; Xiaoxuan Liang 002 (ICASSP, 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 (Tiny Papers @ ICLR, 2024)

DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption. - Nan Yin; Mengzhu Wang; Zhenghan Chen; Li Shen 008; Huan Xiong; Bin Gu 001; Xiao Luo 001 (ICLR, 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 (ICSE Companion, 2024)

A Fast Motion and Foothold Planning Framework for Legged Robots on Discrete Terrain. - Jiyu Yu; Dongqi Wang 002; Zhenghan Chen; Ci Chen; Shuangpeng Wu; Yue Wang 020; Rong Xiong (IROS, 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)

Semantic-Aware Contrastive Adaptation Bridges Domain Discrepancy for Unsupervised Remote Sensing. - Liwen Zhang; Ting Xu; Changyang Zeng; Qi Hao; Zhenghan Chen; Xiaoxuan Liang 002 (IEEE Access, 2024)

Diffusion-Driven Generative Framework for Molecular Conformation Prediction. - Bobin Yang; Jie Deng; Zhenghan Chen; Ruoxue Wu (CoRR, 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)

Joint Adversarial Domain Adaptation With Structural Graph Alignment. - Mengzhu Wang; Junyang Chen 001; Ye Wang 023; Shanshan Wang 008; Lin Li 075; Hao Su; Zhiguo Gong; Kaishun Wu; Zhenghan Chen (IEEE Trans. Netw. Sci. Eng., 2024)

Multidocument Aspect Classification for Aspect-Based Abstractive Summarization. - Ye Wang 023; Yingmin Zhou; Mengzhu Wang; Zhenghan Chen; Zhiping Cai; Junyang Chen 001; Victor C. M. Leung (IEEE Trans. Comput. Soc. Syst., 2024)

Improving diversity and discriminability based implicit contrastive learning for unsupervised domain adaptation. - Heng Xu; Chuanqi Shi; WenZe Fan; Zhenghan Chen (Appl. Intell., 2024)

GEONet: Global Enhancement and Optimization Network for Lane Detection. - Suyang Xi; Yunhao Liu; Hong Ding; Mingshuo Wang; Zhenghan Chen; Xiaoxuan Liang 002 (AAAI, 2025)

Reducing Divergence in Batch Normalization for Domain Adaptation. - Ellen Yi-Ge; Mingjing Wu; Zhenghan Chen (AAAI, 2025)

Image-to-video Adaptation with Outlier Modeling and Robust Self-learning. - Junbao Zhuo; Shuhui Wang; Zhenghan Chen; Li Shen 005; Qingming Huang; Huimin Ma 001 (AAAI, 2025)

Domain-Adaptive Training for Security Health and Heterogeneously Medical Image. - Tianyue Chang; Yiding Cui; Zhenghan Chen; Xiaoxuan Liang 002 (IEEE Trans. Consumer Electron., 2025)

Natural Humanoid Robot Locomotion with Generative Motion Prior. - Haodong Zhang; Liang Zhang; Zhenghan Chen; Lu Chen; Yue Wang 020; Rong Xiong (CoRR, 2025)

EMP: Executable Motion Prior for Humanoid Robot Standing Upper-body Motion Imitation. - Haocheng Xu; Haodong Zhang; Zhenghan Chen; Rong Xiong (CoRR, 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 002; Jiyu Yu; Yifei Yang; Zhongxiang Zhou; Rong Xiong (CoRR, 2025)

A Whole-Body Motion Imitation Framework from Human Data for Full-Size Humanoid Robot. - Zhenghan Chen; Haodong Zhang; Dongqi Wang 002; Jiyu Yu; Haocheng Xu; Yue Wang 020; Rong Xiong (CoRR, 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, 2025)

CbDA: Contrastive-Based Data Augmentation for Domain Generalization. - Ziyi Jiang; Liwen Zhang; Xiaoxuan Liang 002; Zhenghan Chen (IEEE Trans. Comput. Soc. Syst., 2025)