An Improved Cellular Genetic Algorithm with Evolutionary Rules for 3D Animation Modeling Design. - Xiaopeng Yang; Hong Liu 013; Yanhui Ding; Hanchao Yu (CAD/Graphics, 2011)

A role modelling approach for crowd animation in a multi-agent cooperative system. - Hong Liu 013; Hanchao Yu; Yuanyuan Li; Yuling Sun (CSCWD, 2011)

Evolutionary computing method in 3D animation modeling cooperative design. - Hanchao Yu; Hong Liu 013; Xiaopeng Yang (CSCWD, 2011)

Extreme Learning Machines. - Erik Cambria; Guang-Bin Huang; Liyanaarachchi Lekamalage Chamara Kasun; Hongming Zhou; Chi-Man Vong; Jiarun Lin; Jianping Yin; Zhiping Cai; Qiang Liu 004; Kuan Li; Victor C. M. Leung; Liang Feng 001; et al. (IEEE Intell. Syst., 2013)

TOSELM: Timeliness Online Sequential Extreme Learning Machine. - Yang Gu 001; Junfa Liu; Yiqiang Chen 001; Xinlong Jiang; Hanchao Yu (Neurocomputing, 2014)

The Population-Based Optimization Algorithms for Role Modelling and Path Generation in Group Animation. - Hong Liu 013; Yuanyuan Li; Hanchao Yu (J. Softw., 2014)

strDoctor: Indicate Stroke for Elderly through Body Sensing Game. - Hanchao Yu; Xiaodong Yang 005; Yiqiang Chen 001; Junfa Liu (UIC/ATC/ScalCom, 2015)

面向可穿戴设备的超声波手势识别方法 (Ultrasonic Waves Based Gesture Recognition Method for Wearable Equipment). - Xiaodong Yang 005; Yiqiang Chen 001; Hanchao Yu; Junfa Liu; Zhange Li (计算机科学, 2015)

ASELM: Adaptive semi-supervised ELM with application in question subjectivity identification. - Hongping Fu; Zhendong Niu; Chunxia Zhang 001; Hanchao Yu; Jing Ma; Jie Chen 061; Yiqiang Chen 001; Junfa Liu (Neurocomputing, 2016)

PdAssist: Objective and quantified symptom assessment of Parkinson's disease via smartphone. - Yiqiang Chen 001; Xiaodong Yang 005; Biao Chen; Chunyan Miao; Hanchao Yu (BIBM, 2017)

Computed tomography super-resolution using convolutional neural networks. - Haichao Yu; Ding Liu 001; Honghui Shi; Hanchao Yu; Zhangyang Wang; Xinchao Wang; Brent Cross; Matthew Bramler; Thomas S. Huang (ICIP, 2017)

COSA: Contextualized and Objective System to Support ADHD Diagnosis. - Yiqiang Chen 001; Yingwei Zhang 002; Xinlong Jiang; Xin Zeng; Ruizhe Sun; Hanchao Yu (BIBM, 2018)

Less annotation on active learning using confidence-weighted predictions. - Xiaodong Yang 005; Yiqiang Chen 001; Hanchao Yu; Yingwei Zhang 002 (Neurocomputing, 2018)

Wearing-independent hand gesture recognition method based on EMG armband. - Yingwei Zhang 002; Yiqiang Chen 001; Hanchao Yu; Xiaodong Yang 005; Wang Lu; Hong Liu 013 (Pers. Ubiquitous Comput., 2018)

A Novel Framework for 3D-2D Vertebra Matching. - Hanchao Yu; Yang Fu; Haichao Yu; Yunchao Wei; Xinchao Wang; Jianbo Jiao; Matthew Bramler; Thenkurussi Kesavadas; Honghui Shi; Zhangyang Wang; Bihan Wen; Thomas S. Huang (MIPR, 2019)

Wearable Sensors Based Automatic Box and Block Test System. - Yingwei Zhang 002; Yiqiang Chen 001; Hanchao Yu; Zeping Lv; Pan Shang; Yiyi Ouyang; Xiaodong Yang 005; Wang Lu (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Instance-Wise Dynamic Sensor Selection for Human Activity Recognition. - Xiaodong Yang 005; Yiqiang Chen 001; Hanchao Yu; Yingwei Zhang 002; Wang Lu; Ruizhe Sun (AAAI, 2020)

FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation. - Hanchao Yu; Shanhui Sun; Haichao Yu; Xiao Chen 013; Honghui Shi; Thomas S. Huang; Terrence Chen (CVPR, 2020)

Bridging Cross-Tasks Gap for Cognitive Assessment via Fine-Grained Domain Adaptation. - Yingwei Zhang 002; Yiqiang Chen 001; Hanchao Yu; Zeping Lv; Qing Li; Xiaodong Yang 005 (IJCAI, 2020)

Anatomy-Aware Cardiac Motion Estimation. - Pingjun Chen; Xiao Chen 013; Eric Z. Chen; Hanchao Yu; Terrence Chen; Shanhui Sun (MLMI@MICCAI, 2020)

Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks. - Qiaoying Huang; Eric Z. Chen; Hanchao Yu; Yimo Guo; Terrence Chen; Dimitris N. Metaxas; Shanhui Sun (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation. - Hanchao Yu; Xiao Chen 013; Humphrey Shi; Terrence Chen; Thomas S. Huang; Shanhui Sun (MICCAI (6), 2020)

Learning Effective Spatial-Temporal Features for sEMG Armband-Based Gesture Recognition. - Yingwei Zhang 002; Yiqiang Chen 001; Hanchao Yu; Xiaodong Yang 005; Wang Lu (IEEE Internet Things J., 2020)

Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels. - Yuqian Zhou; Hanchao Yu; Humphrey Shi (MICCAI (1), 2021)

What can "drag & drop" tell? Detecting mild cognitive impairment by hand motor function assessment under dual-task paradigm. - Yingwei Zhang 002; Yiqiang Chen 001; Hanchao Yu; Zeping Lv; Xiaodong Yang 005; Chunyu Hu 001; Tengxiang Zhang (Int. J. Hum. Comput. Stud., 2021)

A Feature Adaptive Learning Method for High-Density sEMG-Based Gesture Recognition. - Yingwei Zhang 002; Yiqiang Chen 001; Hanchao Yu; Xiaodong Yang 005; Ruizhe Sun; Bixiao Zeng (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Uncertainty-based Fusion Netwok for Automatic Skin Lesion Diagnosis. - Shubai Chen; Xiaodong Yang 005; Yiqiang Chen 001; Hanchao Yu; Hong Cai (BIBM, 2022)

Human-centered intelligent healthcare: explore how to apply AI to assess cognitive health. - Yingwei Zhang 002; Yiqiang Chen 001; Weiwen Yang; Hanchao Yu; Zeping Lv (CCF Trans. Pervasive Comput. Interact., 2022)

Uniform Masking Prevails in Vision-Language Pretraining. - Siddharth Verma; Yuchen Lu; Rui Hou; Hanchao Yu; Nicolas Ballas; Madian Khabsa; Amjad Almahairi (CoRR, 2022)

Dual layer transfer learning for sEMG-based user-independent gesture recognition. - Yingwei Zhang 002; Yiqiang Chen 001; Hanchao Yu; Xiaodong Yang 005; Wang Lu (Pers. Ubiquitous Comput., 2022)

CLC: A Consensus-based Label Correction Approach in Federated Learning. - Bixiao Zeng; Xiaodong Yang 005; Yiqiang Chen 001; Hanchao Yu; Yingwei Zhang 002 (ACM Trans. Intell. Syst. Technol., 2022)

Generating Hashtags for Short-form Videos with Guided Signals. - Tiezheng Yu; Hanchao Yu; Davis Liang; Yuning Mao; Shaoliang Nie; Po-Yao Huang 001; Madian Khabsa; Pascale Fung; Yi-Chia Wang (ACL (1), 2023)

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. - Jaehyung Kim 001; Yuning Mao; Rui Hou; Hanchao Yu; Davis Liang; Pascale Fung; Qifan Wang 001; Fuli Feng; Lifu Huang; Madian Khabsa (EMNLP (Findings), 2023)

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. - Qifan Wang 001; Yuning Mao; Jingang Wang; Hanchao Yu; Shaoliang Nie; Sinong Wang; Fuli Feng; Lifu Huang; Xiaojun Quan; Zenglin Xu; Dongfang Liu (EMNLP, 2023)

SVT: Supertoken Video Transformer for Efficient Video Understanding. - Chenbin Pan; Rui Hou; Hanchao Yu; Qifan Wang 001; Senem Velipasalar; Madian Khabsa (CoRR, 2023)

MMViT: Multiscale Multiview Vision Transformers. - Yuchen Liu; Natasha Ong; Kaiyan Peng; Bo Xiong; Qifan Wang 001; Rui Hou; Madian Khabsa; Kaiyue Yang; David Liu; Donald S. Williamson; Hanchao Yu (CoRR, 2023)

uCAP: An Unsupervised Prompting Method for Vision-Language Models. - A. Tuan Nguyen; Kai Sheng Tai; Bor-Chun Chen; Satya Narayan Shukla; Hanchao Yu; Philip Torr 001; Tai-Peng Tian; Ser-Nam Lim (ECCV (74), 2024)

Gamified Participatory Design Empowers Blind People's Emotional Experience - Take "Sound·Sound" as an Example. - Hanchao Yu; Hao He; Qi Tan (HCI (31), 2024)

FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise. - Bixiao Zeng; Xiaodong Yang 005; Yiqiang Chen 001; Zhiqi Shen 001; Hanchao Yu; Yingwei Zhang 002 (IJCAI, 2024)

CompCap: Improving Multimodal Large Language Models with Composite Captions. - Xiaohui Chen; Satya Narayan Shukla; Mahmoud Azab; Aashu Singh; Qifan Wang 001; David Yang; ShengYun Peng; Hanchao Yu; Shen Yan; Xuewen Zhang; Baosheng He (CoRR, 2024)

Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data. - Yuting He; Yiqiang Chen 001; Xiaodong Yang 005; Hanchao Yu; Yi-Hua Huang 002; Yang Gu 001 (IEEE Trans. Big Data, 2024)

Federated Data Quality Assessment Approach: Robust Learning With Mixed Label Noise. - Bixiao Zeng; Xiaodong Yang 005; Yiqiang Chen 001; Hanchao Yu; Chunyu Hu 001; Yingwei Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Inference Compute-Optimal Video Vision Language Models. - Peiqi Wang; ShengYun Peng; Xuewen Zhang; Hanchao Yu; Yibo Yang; Lifu Huang; Fujun Liu; Qifan Wang (ACL (1), 2025)

Autonomous Multimodal Reasoning via Implicit Chain-of-Vision. - Yiqiao Huang; Qi He; Zhaorun Chen; Haopeng Zhang 005; Hanchao Yu; Zhuokai Zhao (CVPR Workshops, 2025)

Hierarchical Semi-Supervised Federated Learning Method for Dermatosis Diagnosis. - Ruizhe Sun; Bixiao Zeng; Yiqiang Chen; Xiaodong Yang; Hanchao Yu (WCNC, 2025)

BRIDLE: Generalized Self-supervised Learning with Quantization. - Hoang M. Nguyen; Satya Narayan Shukla; Qiang Zhang; Hanchao Yu; Sreya Dutta Roy; Tai-Peng Tian; Lingjiong Zhu; Yuchen Liu (CoRR, 2025)

Towards An Efficient LLM Training Paradigm for CTR Prediction. - Allen Lin; Renqin Cai; Yun He 001; Hanchao Yu; Jing Qian; Rui Li; Qifan Wang 001; James Caverlee (CoRR, 2025)

CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning. - Hao Yu; Zhuokai Zhao; Shen Yan; Lukasz Korycki; Jianyu Wang; Baosheng He; Jiayi Liu; Lizhu Zhang; Xiangjun Fan; Hanchao Yu (CoRR, 2025)

VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use. - Mingyuan Wu; Jingcheng Yang; Jize Jiang; Meitang Li; Kaizhuo Yan; Hanchao Yu; Minjia Zhang; Chengxiang Zhai; Klara Nahrstedt (CoRR, 2025)

Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation. - Jiang Zhang; Sumit Kumar; Wei Chang; Yubo Wang; Feng Zhang; Weize Mao; Hanchao Yu; Aashu Singh; Min Li; Qifan Wang 001 (CoRR, 2025)