publications
Publications in reversed chronological order.
2026
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Reinforcement Learning Based Entanglement Scheduling in Satellite Quantum Networks
Omid Mersa, Yanfu Zhang, Qun Li
MILCOM 2026 -
GeoMotionGPT: Geometry-Aligned Motion Understanding with Large Language Models
Zhankai Ye, Bofan Li, Yukai Jin, Shuoqiu Li, Wei Wang, Yanfu Zhang, Shangqian Gao, Xin Liu
EMNLP 2026 -
Usage-Modulated Sentiment Representations in Large Language Models
Hongfei Du, Jiacheng Shi, Yanfu Zhang, Gang Zhou, Ashley Gao
EMNLP 2026 -
Tracing a Sparse Emotion-Control Circuit in LLM-Based Text-to-Speech
Hongfei Du, Jiacheng Shi, Yanfu Zhang, Ashley Gao
EMNLP 2026 -
Enabling Confidence-Aware Control of Effective Memorization in Large Language Models
Chenjie Ni, Omid Mersa, Zhepeng Wang, Runxue Bao, Qun Li, Shangqian Gao, Yanfu Zhang
EMNLP 2026 -
Towards Reliable, Generalizable, and Specific In-Context Knowledge Editing via Multi-Objective Reinforcement Learning
Xuzhong Wang, Maiqi Jiang, Tejal Nair, Girija Bhusal, Yanfu Zhang, Haipeng Chen
EMNLP findings 2026 -
LitGene: An Interpretable Transformer Model Integrating Text and Ontology for Gene Representation Learning
Oladimeji Macaulay, Ala Jararweh, David Arredondo, Luis Tafoya, Shrey Poshiya, Yue Hu, Olufunmilola Oyebamiji, Yanfu Zhang, Christopher I. Amos, Kushal Virupakshappa, Avinash Sahu
Nature Communications -
Emo-BPO: Emotion Bidirectional Preference Optimization for Diffusion-based Emotional TTS
Jiacheng Shi, Hongfei Du, Xinyuan Song, Y. Alicia Hong, Yanfu Zhang, Ashley Gao
Interspeech 2026 -
Training-Free Inference for High-Resolution Sinogram Completion
Jiaze E, Srutarshi Banerjee, Tekin Bicer, Guannan Wang, Yanfu Zhang, Bin Ren
IJCAI 2026 -
Confidence-Aware Ranker Ensembles for Robust In-Context Knowledge Editing
Tejal Nair, Mahmud Wasif Nafee, Maiqi Jiang, Ye Gao, Haipeng Chen, Yanfu Zhang
ACL findings 2026 -
AffectCodec: Emotion-Preserving Neural Speech Codec for Expressive Speech Modeling
Jiacheng Shi, Hongfei Du, Xinyuan Song, Y. Alicia Hong, Yanfu Zhang, Ye Gao
ACL findings 2026 -
IMUVIE: Generalizable Pickup Measurement via Motion Movies
John Clapham, Matthew Chen, Omid Mersa, Kenneth Koltermann, Yanfu Zhang, Yuming Sun, Evie N. Burnet, Gang Zhou
CHASE 2026 -
Pairs, not Labels: Predicting Protein-Phenotpe Association via Link Prediction
Maiqi Jiang, Yanshuo Chen, Guodong Liu, Avinash Sahu, Ye Gao, Yanfu Zhang
ICASSP 2026 -
Hierarchical Convolution Multibranch Transformer for EEG Signals
Omid Mersa, Maiqi Jiang, Ye Gao, Qun Li, Yanfu Zhang
ICASSP 2026 -
Integrating Neural Differential Forecasting with Safe Reinforcement Learning for Blood Glucose Regulation
Yushen Liu, Yanfu Zhang, Xugui Zhou
ISBI 2026
2025
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Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization
Maiqi Jiang, Mahmud Wasif Nafee, Haipeng Chen, Yanfu Zhang
EMNLP 2025 -
Controllable Memorization in LLMs via Weight Pruning
Chenjie Ni, Zhepeng Wang, Runxue Bao, Shangqian Gao, Yanfu Zhang
EMNLP 2025 -
HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision
Shengli Zhou, Jianuo Zhu, Qilin Huang, Fangjing Wang, Yanfu Zhang, Feng Zheng
ICANN -
CLEP-DG: Contrastive Learning for Speech Emotion Domain Generalization via Soft Prompt Tuning
Jiacheng Shi, Yanfu Zhang, Ye Gao
Interspeech 2025 -
Safe Screening Rules for Group OWL Models
Runxue Bao, Quanchao Lu, Yanfu Zhang
IJCNN -
Safe Screening Rules for Group SLOPE
Runxue Bao, Quanchao Lu, Yanfu Zhang
ECML -
UniAV: Unified Audio-Visual Perception for Multi-Task Video Event Localization
Tiantian Geng, Teng Wang, Jinming Duan, Yanfu Zhang, Weili Guan, Feng Zheng, Ling Shao
IEEE TPAMI
2024
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Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang
EMNLP 2024 -
BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks
Shangqian Gao, Yanfu Zhang, Feihu Huang, Heng Huang
CVPR 2024 -
Device-Wise Federated Network Pruning
Shangqian Gao, Junyi Li, Yanfu Zhang, Weidong Cai, Heng Huang
CVPR 2024 -
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang
CVPR 2024 -
Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes
Liqiong Wang, Jinyu Yang, Yanfu Zhang, Fangyi Wang, Feng Zheng
CVPR 2024 -
Brain Image Synthesis Using Incomplete Multimodal Data
Yanfu Zhang, Runxue Bao, Guodong Liu, Liang Zhan, Paul M. Thompson, Heng Huang
ISBI 2024 -
Neurodegenerative Disease Prediction via Transferable Deep Networks
Yanfu Zhang, Runxue Bao, Guodong Liu, Liang Zhan, Paul M. Thompson, Heng Huang
ISBI 2024 -
Edge-Aware Dual Branch Network for Nucleus Instance Segmentation
Junzhou Chen, Yanfu Zhang, Sidi Lu
SEC / Smart Moving
2023
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Interindividual Variability in Self-Monitoring of Blood Pressure Using Consumer-Purchased Wireless Devices
Yaguang Zheng, Yanfu Zhang, Heng Huang, Geoffrey H Tison, Lora E Burke, Saul Blecker, Victoria Vaughan Dickson, Jeffrey E Olgin, Gregory M Marcus, Mark J Pletcher
Nursing Research -
Structural Alignment for Network Pruning through Partial Regularization
Shangqian Gao, Zeyu Zhang, Yanfu Zhang, Feihu Huang, Heng Huang
ICCV 2023 -
Investigating the effect of neuropsychiatric symptoms on Alzheimer’s diagnosis using multi-modal brain networks
Lei Guo, Yanfu Zhang, Haoteng Tang, Scott R Mackin, Paul M Thompson, Heng Huang, Liang Zhan
Alzheimer’s & Dementia -
A Comprehensive Survey of Complex Brain Network Representation
Haoteng Tang, Guixiang Ma, Yanfu Zhang, Kai Ye, Lei Guo, Guodong Liu, Qi Huang, Yalin Wang, Olusola Ajilore, Alex D Leow, et al.
Meta-Radiology
2022
-
Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction
Yanfu Zhang, Hongchang Gao, Jian Pei, Heng Huang
WWW 2022 -
Improving social network embedding via new second-order continuous graph neural networks
Yanfu Zhang, Shangqian Gao, Jian Pei, Heng Huang
KDD 2022 -
SECANT: a biology-guided semi-supervised method for clustering, classification, and annotation of single-cell multi-omics
Xinjun Wang, Zhongli Xu, Haoran Hu, Xueping Zhou, Yanfu Zhang, Robert Lafyatis, Kong Chen, Heng Huang, Ying Ding, Richard H Duerr, et al.
PNAS Nexus -
Recover fair deep classification models via altering pre-trained structure
Yanfu Zhang, Shangqian Gao, Heng Huang
ECCV 2022 -
Disentangled differentiable network pruning
Shangqian Gao, Feihu Huang, Yanfu Zhang, Heng Huang
ECCV 2022 -
Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning
Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang
ICDM 2022
2021
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Disentangled and proportional representation learning for multi-view brain connectomes
Yanfu Zhang, Liang Zhan, Shandong Wu, Paul Thompson, Heng Huang
MICCAI 2021 -
Learning better visual data similarities via new grouplet non-euclidean embedding
Yanfu Zhang, Lei Luo, Wenhan Xian, Heng Huang
ICCV 2021 -
Exploration and estimation for model compression
Yanfu Zhang, Shangqian Gao, Heng Huang
ICCV 2021 -
Unified fairness from data to learning algorithm
Yanfu Zhang, Lei Luo, Heng Huang
ICDM 2021 -
A faster decentralized algorithm for nonconvex minimax problems
Wenhan Xian, Feihu Huang, Yanfu Zhang, Heng Huang
NeurIPS 2021
2020
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BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data
Xinjun Wang, Zhe Sun, Yanfu Zhang, Zhongli Xu, Hongyi Xin, Heng Huang, Richard H Duerr, Kong Chen, Ying Ding, Wei Chen
Nucleic Acids Research -
Adversarial nonnegative matrix factorization
Lei Luo, Yanfu Zhang, Heng Huang
ICML 2020 -
One-year Patterns of Home Blood Pressure Monitoring Using Consumer-purchased Wireless Devices in the Health Eheart Study
Yaguang Zheng, Yanfu Zhang, Heng Huang, Geoffrey H Tison, Lora E Burke, Jeffrey Olgin, Gregory M Marcus, Mark J Pletcher
Circulation
2019
-
New graph-blind convolutional network for brain connectome data analysis
Yanfu Zhang, Heng Huang
IPMI 2019 -
Local-linear-fitting-based matting for joint hole filling and depth upsampling of RGB-D images
Yanfu Zhang, Li Ding, Gaurav Sharma
Journal of Electronic Imaging -
Integrating heterogeneous brain networks for predicting brain disease conditions
Yanfu Zhang, Liang Zhan, Weidong Cai, Paul Thompson, Heng Huang
MICCAI 2019 -
Biological knowledge guided deep neural network for brain genotype-phenotype association study
Yanfu Zhang, Liang Zhan, Paul M Thompson, Heng Huang
MBIA Workshop -
Brain dynamics through the lens of statistical mechanics by unifying structure and function
Igor Fortel, Mitchell Butler, Laura E Korthauer, Liang Zhan, Olusola Ajilore, Ira Driscoll, Anastasios Sidiropoulos, Yanfu Zhang, Lei Guo, Heng Huang, et al.
MICCAI 2019
2017
- Hazerd: an outdoor scene dataset and benchmark for single image dehazing
Yanfu Zhang, Li Ding, Gaurav Sharma
ICIP 2017
2016
- A local-linear-fitting-based matting approach for accurate depth upsampling
Yanfu Zhang, Li Ding, Gaurav Sharma
WNYISPW 2016
2014
- Multi-focus image fusion based on spatial frequency in discrete cosine transform domain
Liu Cao, Longxu Jin, Hongjiang Tao, Guoning Li, Zhuang Zhuang, Yanfu Zhang
IEEE Signal Processing Letters