Tsung-Hui Chang

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 163

Top Venues

CoRR

IEEE Trans. Signal Process.

ICASSP

SPAWC

Publications

Ya-Feng Liu, Tsung-Hui Chang, Mingyi Hong, Zheyu Wu, Anthony Man-Cho So, Eduard A. Jorswieck, Wei Yu
A Survey of Advances in Optimization Methods for Wireless Communication System Design. CoRR (2024)
Zhiwei Tang, Jiasheng Tang, Hao Luo, Fan Wang, Tsung-Hui Chang
Accelerating Parallel Sampling of Diffusion Models. CoRR (2024)
Zhihong Chen, Yuhao Du, Jinpeng Hu, Yang Liu, Guanbin Li, Xiang Wan, Tsung-Hui Chang
Mapping medical image-text to a joint space via masked modeling. Medical Image Anal. 91 (2024)
Zhiwei Tang, Tsung-Hui Chang
FedLion: Faster Adaptive Federated Optimization with Fewer Communication. CoRR (2024)
Tenghao Cai, Songyang Ge, Yanqing Xu, Tsung-Hui Chang
Approaching Centralized Multi-cell Coordinated Beamforming with Limited Backhaul Signaling. ICC (2023)
Zhiwei Tang, Yanmeng Wang, Tsung-Hui Chang
z-SignFedAvg: A Unified Stochastic Sign-based Compression for Federated Learning. CoRR (2023)
Xinrao Li, Tong Zhang, Shuai Wang, Guangxu Zhu, Rui Wang, Tsung-Hui Chang
Large-Scale Bandwidth and Power Optimization for Multi-Modal Edge Intelligence Autonomous Driving. IEEE Wirel. Commun. Lett. 12 (6) (2023)
Xiaotong Zhao, Mian Li, Yang Liu, Tsung-Hui Chang, Qingjiang Shi
Communication-Efficient Decentralized Linear Precoding for Massive MU-MIMO Systems. IEEE Trans. Signal Process. 71 (2023)
Minghe Zhu, Tsung-Hui Chang, Mingyi Hong
Learning to Beamform in Heterogeneous Massive MIMO Networks. IEEE Trans. Wirel. Commun. 22 (7) (2023)
Yanmeng Wang, Qingjiang Shi, Tsung-Hui Chang
Batch Normalization Damages Federated Learning on NON-IID Data: Analysis and Remedy. ICASSP (2023)
Hao Wang, Zhiwei Tang, Shutao Zhang, Chao Shen, Tsung-Hui Chang
Embracing Uncertainty: A Diffusion Generative Model of Spectrum Efficiency in 5G Networks. WCSP (2023)
Xiaomeng Guo, Tsung-Hui Chang, Yongchao Wang
Model-Driven Deep Learning ADMM Decoder for Irregular Binary LDPC Codes. IEEE Commun. Lett. 27 (2) (2023)
Yang Liu, Jinpeng Hu, Zhihong Chen, Xiang Wan, Tsung-Hui Chang
EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition. AAAI (2023)
Jinpeng Hu, Dandan Guo, Yang Liu, Zhuo Li, Zhihong Chen, Xiang Wan, Tsung-Hui Chang
A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER. AAAI (2023)
Yanmeng Wang, Qingjiang Shi, Tsung-Hui Chang
Why Batch Normalization Damage Federated Learning on Non-IID Data? CoRR (2023)
Songyang Ge, Tsung-Hui Chang
Gradient and Variable Tracking with Multiple Local SGD for Decentralized Non-Convex Learning. CoRR (2023)
Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha
Learning Structured Communication for Multi-Agent Reinforcement Learning. AAMAS (2023)
Qingfeng Lin, Yang Li, Wei-Bin Kou, Tsung-Hui Chang, Yik-Chung Wu
Communication-Efficient Joint Signal Compression and Activity Detection in Cell-Free Massive MIMO. ICC (2023)
Lei Li, Xing Zeng, Ya-Feng Liu, Yanqing Xu, Tsung-Hui Chang
CSI Sensing From Heterogeneous User Feedbacks: A Constrained Phase Retrieval Approach. IEEE Trans. Wirel. Commun. 22 (10) (2023)
Lei Li, Minghe Zhu, Shuqiang Xia, Tsung-Hui Chang
Downlink CSI Recovery in Massive MIMO Systems by Proactive Sensing. IEEE Wirel. Commun. Lett. 12 (3) (2023)
Wenwen Min, Taosheng Xu, Xiang Wan, Tsung-Hui Chang
Structured Sparse Non-Negative Matrix Factorization With $\ell _{2,0}$ℓ2,0-Norm. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Shuai Wang, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek, Defeng Sun
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework. AAAI (2023)
Tao Fang, Jinpeng Hu, Derek F. Wong, Xiang Wan, Lidia S. Chao, Tsung-Hui Chang
Improving Grammatical Error Correction with Multimodal Feature Integration. ACL (Findings) (2023)
Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha
Low-rank matrix recovery with unknown correspondence. UAI (2023)
Zhiwei Tang, Dmitry Rybin, Tsung-Hui Chang
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles. CoRR (2023)
Yanqing Xu, Bo Wang, Enbin Song, Qingjiang Shi, Tsung-Hui Chang
Low-Complexity Channel Estimation for Massive MIMO Systems With Decentralized Baseband Processing. IEEE Trans. Signal Process. 71 (2023)
Minghe Zhu, Lei Li, Shuqiang Xia, Tsung-Hui Chang
Information and Sensing Beamforming Optimization for Multi-User Multi-Target MIMO ISAC Systems. ICASSP (2023)
Xilai Fan, Ya-Feng Liu, Liang Liu, Tsung-Hui Chang
QoS-based Beamforming and Compression Design for Cooperative Cellular Networks via Lagrangian Duality. CoRR (2023)
Xinzhi Ning, Shutao Zhang, Ye Xue, Xi Zheng, Qingjiang Shi, Tsung-Hui Chang
Learning Beams Adaptive to the Environment: An RSRP-based Codebook Design. SPAWC (2023)
Minghe Zhu, Lei Li, Shuqiang Xia, Tsung-Hui Chang
Information and sensing beamforming optimization for multi-user multi-target MIMO ISAC systems. EURASIP J. Adv. Signal Process. 2023 (1) (2023)
Songyang Ge, Tsung-Hui Chang
Gradient Tracking with Multiple Local SGD for Decentralized Non-Convex Learning. CDC (2023)
Jinpeng Hu, Zhihong Chen, Yang Liu, Xiang Wan, Tsung-Hui Chang
Improving Radiology Summarization with Radiograph and Anatomy Prompts. ACL (Findings) (2023)
Yanqing Xu, Enbin Song, Qingjiang Shi, Tsung-Hui Chang
Sparse Aggregation-Based Channel Estimation For Massive Mimo Systems With Decentralized Baseband Processing. ICASSP (2023)
Haiqing Gao, Songyang Ge, Tsung-Hui Chang
FedHD: Communication-efficient federated learning from hybrid data. J. Frankl. Inst. 360 (12) (2023)
Zhi-Quan Luo, Xi Zheng, David López-Pérez, Qi Yan, Xin Chen, Nanbin Wang, Qingjiang Shi, Tsung-Hui Chang, Adrian García-Rodríguez
SRCON: A Data-Driven Network Performance Simulator for Real-World Wireless Networks. IEEE Commun. Mag. 61 (6) (2023)
Yang Liu, Jinpeng Hu, Xiang Wan, Tsung-Hui Chang
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction. ACL (Findings) (2022)
Jinpeng Hu, Zhuo Li, Zhihong Chen, Zhen Li, Xiang Wan, Tsung-Hui Chang
Graph Enhanced Contrastive Learning for Radiology Findings Summarization. CoRR (2022)
Wenwen Min, Xiang Wan, Tsung-Hui Chang, Shihua Zhang
A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Zhihong Chen, Yuhao Du, Jinpeng Hu, Yang Liu, Guanbin Li, Xiang Wan, Tsung-Hui Chang
Multi-modal Masked Autoencoders for Medical Vision-and-Language Pre-training. MICCAI (5) (2022)
Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling. CoRR (2022)
Yiwei Li, Shuai Wang, Tsung-Hui Chang, Chong-Yung Chi
Federated Stochastic Primal-dual Learning with Differential Privacy. CoRR (2022)
Xinzhi Ning, Shutao Zhang, Xi Zheng, Tsung-Hui Chang
Multi-Grid-Based Localized Statistical Channel Modeling: A Radio Map Approach. ISWCS (2022)
Lei Li, Qian Chen, Xing Zeng, Tsung-Hui Chang
Downlink CSI Sensing from Heterogeneous User Feedbacks: A Constrained Phase Retrieval Approach. SPAWC (2022)
Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
Learning structured communication for multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 36 (2) (2022)
Yanqing Xu, Bo Wang, Enbin Song, Qingjiang Shi, Tsung-Hui Chang
Low-Complexity Channel Estimation for Massive MIMO Systems with Decentralized Baseband Processing. CoRR (2022)
Jinpeng Hu, Yaling Shen, Yang Liu, Xiang Wan, Tsung-Hui Chang
Hero-Gang Neural Model For Named Entity Recognition. CoRR (2022)
Shuai Wang, Tsung-Hui Chang
Federated Matrix Factorization: Algorithm Design and Application to Data Clustering. IEEE Trans. Signal Process. 70 (2022)
Shuai Wang, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek, Defeng Sun
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework. CoRR (2022)
Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang
Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling. IEEE Signal Process. Mag. 39 (6) (2022)
Yanmeng Wang, Yanqing Xu, Qingjiang Shi, Tsung-Hui Chang
Quantized Federated Learning Under Transmission Delay and Outage Constraints. IEEE J. Sel. Areas Commun. 40 (1) (2022)
Jinpeng Hu, Zhihong Chen, Yang Liu, Xiang Wan, Tsung-Hui Chang
Improving Radiology Summarization with Radiograph and Anatomy Prompts. CoRR (2022)
Xinrao Li, Tong Zhang, Shuai Wang, Guangxu Zhu, Rui Wang, Tsung-Hui Chang
Large-Scale Bandwidth and Power Optimization for Multi-Modal Edge Intelligence Autonomous Driving. CoRR (2022)
Jinpeng Hu, Zhuo Li, Zhihong Chen, Zhen Li, Xiang Wan, Tsung-Hui Chang
Graph Enhanced Contrastive Learning for Radiology Findings Summarization. ACL (1) (2022)
Lunchen Xie, Jiaqi Liu, Songtao Lu, Tsung-Hui Chang, Qingjiang Shi
An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization. ACM Trans. Intell. Syst. Technol. 13 (5) (2022)
Jinpeng Hu, He Zhao, Dan Guo, Xiang Wan, Tsung-Hui Chang
A Label-Aware Autoregressive Framework for Cross-Domain NER. NAACL-HLT (Findings) (2022)
Jinpeng Hu, Yaling Shen, Yang Liu, Xiang Wan, Tsung-Hui Chang
Hero-Gang Neural Model For Named Entity Recognition. NAACL-HLT (2022)
Yancheng Yuan, Tsung-Hui Chang, Defeng Sun, Kim-Chuan Toh
A Dimension Reduction Technique for Large-Scale Structured Sparse Optimization Problems with Application to Convex Clustering. SIAM J. Optim. 32 (3) (2022)
Jiawei Zhang, Songyang Ge, Tsung-Hui Chang, Zhi-Quan Luo
Decentralized Non-Convex Learning With Linearly Coupled Constraints: Algorithm Designs and Application to Vertical Learning Problem. IEEE Trans. Signal Process. 70 (2022)
Lei Li, Xing Zeng, Ya-Feng Liu, Yanqing Xu, Tsung-Hui Chang
CSI Sensing from Heterogeneous User Feedbacks: A Constrained Phase Retrieval Approach. CoRR (2022)
Shu Cai, Hongbo Zhu, Chao Shen, Tsung-Hui Chang
Joint Symbol Level Precoding and Receive Beamforming Optimization for Multiuser MIMO Downlink. IEEE Trans. Signal Process. 70 (2022)
Yang Liu, Jinpeng Hu, Xiang Wan, Tsung-Hui Chang
Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation Extraction. NAACL-HLT (Findings) (2022)
Yang Liu, Jinpeng Hu, Xiang Wan, Tsung-Hui Chang
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction. CoRR (2022)
Zhihong Chen, Yuhao Du, Jinpeng Hu, Yang Liu, Guanbin Li, Xiang Wan, Tsung-Hui Chang
Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training. CoRR (2022)
Haoran Sun, Wenqiang Pu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective. IEEE Trans. Signal Process. 70 (2022)
Jinpeng Hu, Jianling Li, Zhihong Chen, Yaling Shen, Yan Song, Xiang Wan, Tsung-Hui Chang
Word Graph Guided Summarization for Radiology Findings. ACL/IJCNLP (Findings) (2021)
Yanmeng Wang, Yanqing Xu, Qingjiang Shi, Tsung-Hui Chang
Quantized Federated Learning under Transmission Delay and Outage Constraints. CoRR (2021)
Wenwen Min, Tsung-Hui Chang, Shihua Zhang, Xiang Wan
TSCCA: A tensor sparse CCA method for detecting microRNA-gene patterns from multiple cancers. PLoS Comput. Biol. 17 (6) (2021)
Jinpeng Hu, Jianling Li, Zhihong Chen, Yaling Shen, Yan Song, Xiang Wan, Tsung-Hui Chang
Word Graph Guided Summarization for Radiology Findings. CoRR (2021)
Zhiguo Wang, Xintong Wang, Ruoyu Sun, Tsung-Hui Chang
Federated Semi-Supervised Learning with Class Distribution Mismatch. CoRR (2021)
Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha
Low-rank Matrix Recovery With Unknown Correspondence. CoRR (2021)
Haoran Sun, Wenqiang Pu, Minghe Zhu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
Learning to Continuously Optimize Wireless Resource in Episodically Dynamic Environment. ICASSP (2021)
Yanmeng Wang, Yanqing Xu, Qingjiang Shi, Tsung-Hui Chang
Robust Federated Learning in Wireless Channels with Transmission Outage and Quantization Errors. SPAWC (2021)
Shuai Wang, Tsung-Hui Chang, Ying Cui, Jong-Shi Pang
Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization. IEEE Trans. Signal Process. 69 (2021)
Wenwen Min, Taosheng Xu, Xiang Wan, Tsung-Hui Chang
Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis. CoRR (2021)
Shuai Wang, Richard Cornelius Suwandi, Tsung-Hui Chang
Demystifying Model Averaging for Communication-Efficient Federated Matrix Factorization. ICASSP (2021)
Lunchen Xie, Jiaqi Liu, Songtao Lu, Tsung-Hui Chang, Qingjiang Shi
An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization. CoRR (2021)
Zhiguo Wang, Jiawei Zhang, Tsung-Hui Chang, Jian Li, Zhi-Quan Luo
Distributed Stochastic Consensus Optimization With Momentum for Nonconvex Nonsmooth Problems. IEEE Trans. Signal Process. 69 (2021)
Jiawei Zhang, Songyang Ge, Tsung-Hui Chang, Zhi-Quan Luo
Decentralized Non-Convex Learning with Linearly Coupled Constraints. CoRR (2021)
Haoran Sun, Wenqiang Pu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective. CoRR (2021)
Jinghong Tan, Tsung-Hui Chang, Kun Guo, Tony Q. S. Quek
Robust Computation Offloading in Fog Radio Access Network With Fronthaul Compression. IEEE Trans. Wirel. Commun. 20 (10) (2021)
Yang Liu, Yuanhe Tian, Tsung-Hui Chang, Song Wu, Xiang Wan, Yan Song
Exploring Word Segmentation and Medical Concept Recognition for Chinese Medical Texts. BioNLP@NAACL-HLT (2021)
Jiawei Zhang, Songyang Ge, Tsung-Hui Chang, Zhi-Quan Luo
A Proximal Dual Consensus Method for Linearly Coupled Multi-Agent Non-Convex Optimization. ICASSP (2020)
Yiwei Li, Tsung-Hui Chang, Chong-Yung Chi
Secure Federated Averaging Algorithm with Differential Privacy. MLSP (2020)
Ying Cui, Tsung-Hui Chang, Mingyi Hong, Jong-Shi Pang
A Study of Piecewise Linear-Quadratic Programs. J. Optim. Theory Appl. 186 (2) (2020)
Ailin Cao, Chao Shen, Jiaying Zong, Tsung-Hui Chang
Peak Age-of-Information Minimization of UAV-Aided Relay Transmission. ICC Workshops (2020)
Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo
A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization. Math. Oper. Res. 45 (3) (2020)
Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu
Distributed Learning in the Nonconvex World: From batch data to streaming and beyond. IEEE Signal Process. Mag. 37 (3) (2020)
Linfeng Li, Peng Wang, Jun Yan, Yao Wang, Simin Li, Jinpeng Jiang, Zhe Sun, Buzhou Tang, Tsung-Hui Chang, Shenghui Wang, Yuting Liu
Real-world data medical knowledge graph: construction and applications. Artif. Intell. Medicine 103 (2020)
Shuai Wang, Tsung-Hui Chang
Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing. CoRR (2020)
Zhihong Chen, Yan Song, Tsung-Hui Chang, Xiang Wan
Generating Radiology Reports via Memory-driven Transformer. CoRR (2020)
Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
Learning Structured Communication for Multi-agent Reinforcement Learning. CoRR (2020)
Minghe Zhu, Tsung-Hui Chang, Mingyi Hong
Learning to Beamform in Heterogeneous Massive MIMO Networks. CoRR (2020)
Qingjiang Shi, Mingyi Hong, Xiao Fu, Tsung-Hui Chang
Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization - Part II: Applications. IEEE Trans. Signal Process. 68 (2020)
Zhihong Chen, Yan Song, Tsung-Hui Chang, Xiang Wan
Generating Radiology Reports via Memory-driven Transformer. EMNLP (1) (2020)
Haoran Sun, Wenqiang Pu, Minghe Zhu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment. CoRR (2020)
Zhiguo Wang, Jiawei Zhang, Tsung-Hui Chang, Jian Li, Zhi-Quan Luo
Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems. CoRR (2020)
Yanqing Xu, Chao Shen, Tsung-Hui Chang, Shih-Chun Lin, Yajun Zhao, Gang Zhu
Transmission Energy Minimization for Heterogeneous Low-Latency NOMA Downlink. IEEE Trans. Wirel. Commun. 19 (2) (2020)
Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu
Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond. CoRR (2020)
Lei Li, Tsung-Hui Chang, Shu Cai
UAV Positioning and Power Control for Two-Way Wireless Relaying. IEEE Trans. Wirel. Commun. 19 (2) (2020)
Minghe Zhu, Tsung-Hui Chang
Optimization Inspired Learning Network for Multiuser Robust Beamforming. SAM (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tsung-Hui Chang