LabVIEW Based Construction and Decoding for 2/3 Polar Codes. - Yihang Wu; Shuai Han 002; Hong Zhang; Guoning Zhi (IWCMC, 2022)

Enhancing Classification Tasks through Domain Adaptation Strategies. - Ahmad Chaddad; Yihang Wu (BIBM, 2023)

A Comparative Study on Canonical Correlation Analysis-Based Multi-feature Fusion for Palmprint Recognition. - Yihang Wu; Junlin Hu 001 (CCBR, 2023)

A Practical Simulation for Domain Adaptation Models. - Ahmad Chaddad; Yihang Wu (HealthCom, 2023)

Building a Better Metaverse: How Federated Learning is Revolutionizing Virtual Worlds. - Ahmad Chaddad; Yihang Wu; Reem Kateb (HealthCom, 2023)

Domain Adaptation in Machine Learning: A Practical Simulation Study. - Ahmad Chaddad; Yihang Wu (ICTAI, 2023)

Robust Tracking for Electromagnetic-Actuated Microrobot Via Sliding Mode Control. - Yihang Wu; Ziyao Qu; Xiaocong Chang; Zhijian Hu; Rongni Yang; Renjie Ma (IECON, 2023)

Robotic Arm Motion Planning for Obstacle Avoidance Based on the CMN-RRT * Method. - Yihang Wu; Ruihua Guo; Zhaosheng Yan; Guoshun Cui; Kun Yang; Kai Zhuo (ROBIO, 2023)

Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques. - Ahmad Chaddad; Yihang Wu; Reem Kateb; Ahmed Bouridane (Sensors, 2023)

When Data Pricing Meets Non-Cooperative Game Theory. - Yuran Bi; Yihang Wu; Jinfei Liu; Kui Ren 001; Li Xiong 001 (ICDE, 2024)

FACMIC: Federated Adaptative CLIP Model for Medical Image Classification. - Yihang Wu; Christian Desrosiers; Ahmad Chaddad (MICCAI (12), 2024)

Towards Better Text-to-Image Generation Alignment via Attention Modulation. - Yihang Wu; Xiao Cao; Kaixin Li; Zitan Chen; Haonan Wang; Lei Meng; Zhiyong Huang (CoRR, 2024)

Planning with Large Language Models for Conversational Agents. - Zhigen Li; Jianxiang Peng; Yanmeng Wang; Tianhao Shen; Minghui Zhang; Linxi Su; Shang Wu; Yihang Wu; Yuqian Wang; Ye Wang; Wei Hu; Jianfeng Li; et al. (CoRR, 2024)

A Survey on Data Markets. - Jiayao Zhang 006; Yuran Bi; Mengye Cheng; Jinfei Liu; Kui Ren 001; Qiheng Sun; Yihang Wu; Yang Cao 011; Raul Castro Fernandez; Haifeng Xu; Ruoxi Jia 001; Yongchan Kwon; et al. (CoRR, 2024)

Deep and Shallow Feature Fusion in Feature Score Level for Palmprint Recognition. - Yihang Wu; Junlin Hu 001 (IET Biom., 2024)

Federated Learning for Healthcare Applications. - Ahmad Chaddad; Yihang Wu; Christian Desrosiers (IEEE Internet Things J., 2024)

A graph convolutional network model based on regular equivalence for identifying influential nodes in complex networks. - Yihang Wu; Yanmei Hu; Siyuan Yin; Biao Cai; Xiaochuan Tang; Xiangtao Li (Knowl. Based Syst., 2024)

A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models. - Yuchen Jiang; Xinyuan Zhao; Yihang Wu; Ahmad Chaddad (AAAI, 2025)

From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs. - Guocong Li; Weize Liu; Yihang Wu; Ping Wang; Shuaihan Huang; Hongxia Xu; Jian Wu 001 (ACL (Findings), 2025)

ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agents. - Zhigen Li; Jianxiang Peng; Yanmeng Wang; Yong Cao; Tianhao Shen; Minghui Zhang; Linxi Su; Shang Wu; Yihang Wu; Yuqian Wang; Ye Wang; Wei Hu; et al. (ACL (1), 2025)

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting. - Jun Huang; Ting Liu 018; Yihang Wu; Xiaochao Qu; Luoqi Liu; Xiaolin Hu (CVPR, 2025)

Bargaining-Based Data Markets. - Yuran Bi; Jinfei Liu; Kui Ren 001; Yihang Wu; Yang Cao 011 (ICDE, 2025)

SEMI-Supervised Medical Image Segmentation via Dual Networks. - Yunyao Lu; Yihang Wu; Reem Kateb; Ahmad Chaddad (ISBI, 2025)

Deep Modeling and Optimization of Medical Image Classification. - Yihang Wu; Muhammad Owais; Reem Kateb; Ahmad Chaddad (ISBI, 2025)

Domain adaptation techniques for natural and medical image classification. - Ahmad Chaddad; Yihang Wu; Reem Kateb; Christian Desrosiers (Inf. Sci., 2025)

Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification. - Ahmad Chaddad; Yihang Wu; Yuchen Jiang; Ahmed Bouridane; Christian Desrosiers (IEEE Trans. Instrum. Meas., 2025)

Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview. - Ahmad Chaddad; Yan Hu; Yihang Wu; Binbin Wen; Reem Kateb (CoRR, 2025)

A two-stage model leveraging friendship network for community evolution prediction in interactive networks. - Yanmei Hu; Yihang Wu; Biao Cai (CoRR, 2025)

IPBench: Benchmarking the Knowledge of Large Language Models in Intellectual Property. - Qiyao Wang; Guhong Chen; Hongbo Wang; Huaren Liu; Minghui Zhu; Zhifei Qin; Linwei Li; Yilin Yue; Shiqiang Wang; Jiayan Li; Yihang Wu; Ziqiang Liu; et al. (CoRR, 2025)

An adaptive network construction for single-cell clustering. - Tianyu Yang; Yanmei Hu; Yihang Wu; Yingxi Zhang; Bin Duo; Xiaochuan Tang; Xiangtao Li (J. Supercomput., 2025)

Evaluating the Effectiveness of Black-Box Prompt Optimization as the Scale of LLMs Continues to Grow. - Ziyu Zhou; Yihang Wu; Jingyuan Yang 008; Zhan Xiao; Rongjun Li (CoRR, 2025)

FAA-CLIP: Federated Adversarial Adaptation of CLIP. - Yihang Wu; Ahmad Chaddad; Christian Desrosiers; Tareef S. Daqqaq; Reem Kateb (IEEE Internet Things J., 2025)

Classification based deep learning models for lung cancer and disease using medical images. - Ahmad Chaddad; Jihao Peng; Yihang Wu (CoRR, 2025)

Review of Feed-forward 3D Reconstruction: From DUSt3R to VGGT. - Wei Zhang; Yihang Wu; Songhua Li; Wenjie Ma; Xin Ma; Qiang Li; Qi Wang (CoRR, 2025)

A graph neural network based on feature network for identifying influential nodes. - Yanmei Hu; Siyuan Yin; Yihang Wu; Xue Yue; Yue Liu (CoRR, 2025)