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2020 – today
- 2024
[j77]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: 103018 (2024)- [j76]Shutao Zhang, Xinzhi Ning, Xi Zheng, Qingjiang Shi, Tsung-Hui Chang, Zhi-Quan Luo:
A Physics-Based and Data-Driven Approach for Localized Statistical Channel Modeling. IEEE Trans. Wirel. Commun. 23(6): 5409-5424 (2024) - [c101]Zhiwei Tang, Yanmeng Wang, Tsung-Hui Chang:
z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning. AAAI 2024: 15301-15309 - [c100]Tenghao Cai, Lei Li, Tsung-Hui Chang:
Sensing-Assisted Distributed User Scheduling and Beamforming in Muli-Cell mmWave Networks. ICASSP 2024: 81-85 - [c99]Jinghui Guan, Rui Zhou, Wenqiang Pu, Qingjiang Shi, Tsung-Hui Chang:
A Robust GLRT Detector Against Missing Data in Cooperative Sensing. ICASSP 2024: 8966-8970 - [c98]Lei Li, Tenghao Cai, Tsung-Hui Chang:
Isac Beamforming Optimization For Robust Transmission In Dynamic Mmwave Mimo Networks. ICASSP 2024: 13086-13090 - [c97]Zhiwei Tang, Tsung-Hui Chang:
FedLion: Faster Adaptive Federated Optimization with Fewer Communication. ICASSP 2024: 13316-13320 - [c96]Yiheng Wang, Shutao Zhang, Ye Xue, Tianshu Yu, Qingjiang Shi, Tsung-Hui Chang:
Neural Enhanced Variational Bayesian Inference on Graphs for Localized Statistical Channel Modeling. ICC 2024: 342-347 - [c95]Rui Shi, Yanqing Xu, Lin Zhu, Tsung-Hui Chang:
Linear Compression-based Precoding for Massive MIMO Systems with Decentralized Baseband Processing. ICC Workshops 2024: 852-857 - [c94]Zhiwei Tang, Dmitry Rybin, Tsung-Hui Chang:
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles. ICLR 2024 - [c93]Zhiwei Tang, Jiasheng Tang, Hao Luo, Fan Wang, Tsung-Hui Chang:
Accelerating Parallel Sampling of Diffusion Models. ICML 2024 - [i71]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 abs/2401.12025 (2024) - [i70]Zhiwei Tang, Tsung-Hui Chang:
FedLion: Faster Adaptive Federated Optimization with Fewer Communication. CoRR abs/2402.09941 (2024) - [i69]Zhiwei Tang, Jiasheng Tang, Hao Luo, Fan Wang, Tsung-Hui Chang:
Accelerating Parallel Sampling of Diffusion Models. CoRR abs/2402.09970 (2024) - [i68]Zhiwei Tang, Jiangweizhi Peng, Jiasheng Tang, Mingyi Hong, Fan Wang, Tsung-Hui Chang:
Tuning-Free Alignment of Diffusion Models with Direct Noise Optimization. CoRR abs/2405.18881 (2024) - [i67]Yanqing Xu, Erik G. Larsson, Eduard A. Jorswieck, Xiao Li, Shi Jin, Tsung-Hui Chang:
Distributed Signal Processing for Extremely Large-Scale Antenna Array Systems: State-of-the-Art and Future Directions. CoRR abs/2407.16121 (2024) - 2023
- [j75]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): 96-102 (2023) - [j74]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): 15 (2023) - [j73]Xiaomeng Guo, Tsung-Hui Chang, Yongchao Wang:
Model-Driven Deep Learning ADMM Decoder for Irregular Binary LDPC Codes. IEEE Commun. Lett. 27(2): 571-575 (2023) - [j72]Haiqing Gao, Songyang Ge, Tsung-Hui Chang:
FedHD: Communication-efficient federated learning from hybrid data. J. Frankl. Inst. 360(12): 8416-8454 (2023) - [j71]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): 8584-8595 (2023) - [j70]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: 2728-2743 (2023) - [j69]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: 4045-4059 (2023) - [j68]Minghe Zhu, Tsung-Hui Chang, Mingyi Hong:
Learning to Beamform in Heterogeneous Massive MIMO Networks. IEEE Trans. Wirel. Commun. 22(7): 4901-4915 (2023) - [j67]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): 6930-6945 (2023) - [j66]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): 406-410 (2023) - [j65]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): 1096-1100 (2023) - [c92]Yang Liu, Jinpeng Hu, Zhihong Chen, Xiang Wan, Tsung-Hui Chang:
EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition. AAAI 2023: 8897-8905 - [c91]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: 10175-10183 - [c90]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: 12890-12898 - [c89]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: 9328-9344 - [c88]Jinpeng Hu, Zhihong Chen, Yang Liu, Xiang Wan, Tsung-Hui Chang:
Improving Radiology Summarization with Radiograph and Anatomy Prompts. ACL (Findings) 2023: 12066-12080 - [c87]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: 436-438 - [c86]Songyang Ge, Tsung-Hui Chang:
Gradient Tracking with Multiple Local SGD for Decentralized Non-Convex Learning. CDC 2023: 133-138 - [c85]Yanmeng Wang, Qingjiang Shi, Tsung-Hui Chang:
Batch Normalization Damages Federated Learning on NON-IID Data: Analysis and Remedy. ICASSP 2023: 1-5 - [c84]Yanqing Xu, Enbin Song, Qingjiang Shi, Tsung-Hui Chang:
Sparse Aggregation-Based Channel Estimation For Massive Mimo Systems With Decentralized Baseband Processing. ICASSP 2023: 1-5 - [c83]Minghe Zhu, Lei Li, Shuqiang Xia, Tsung-Hui Chang:
Information and Sensing Beamforming Optimization for Multi-User Multi-Target MIMO ISAC Systems. ICASSP 2023: 1-5 - [c82]Tenghao Cai, Songyang Ge, Yanqing Xu, Tsung-Hui Chang:
Approaching Centralized Multi-cell Coordinated Beamforming with Limited Backhaul Signaling. ICC 2023: 3559-3564 - [c81]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: 5030-5035 - [c80]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: 521-525 - [c79]Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha:
Low-rank matrix recovery with unknown correspondence. UAI 2023: 2111-2122 - [c78]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: 880-885 - [i66]Yanmeng Wang, Qingjiang Shi, Tsung-Hui Chang:
Why Batch Normalization Damage Federated Learning on Non-IID Data? CoRR abs/2301.02982 (2023) - [i65]Songyang Ge, Tsung-Hui Chang:
Gradient and Variable Tracking with Multiple Local SGD for Decentralized Non-Convex Learning. CoRR abs/2302.01537 (2023) - [i64]Zhiwei Tang, Yanmeng Wang, Tsung-Hui Chang:
z-SignFedAvg: A Unified Stochastic Sign-based Compression for Federated Learning. CoRR abs/2302.02589 (2023) - [i63]Zhiwei Tang, Dmitry Rybin, Tsung-Hui Chang:
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles. CoRR abs/2303.03751 (2023) - [i62]Xilai Fan, Ya-Feng Liu, Liang Liu, Tsung-Hui Chang:
QoS-based Beamforming and Compression Design for Cooperative Cellular Networks via Lagrangian Duality. CoRR abs/2306.13962 (2023) - 2022
- [j64]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): 50 (2022) - [j63]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): 323-341 (2022) - [j62]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): 2294-2318 (2022) - [j61]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): 18-52 (2022) - [j60]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): 77:1-77:28 (2022) - [j59]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): 3842-3856 (2022) - [j58]Shuai Wang, Tsung-Hui Chang:
Federated Matrix Factorization: Algorithm Design and Application to Data Clustering. IEEE Trans. Signal Process. 70: 1625-1640 (2022) - [j57]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: 1900-1917 (2022) - [j56]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: 3312-3327 (2022) - [j55]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: 6185-6199 (2022) - [c77]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: 757-763 - [c76]Jinpeng Hu, Zhuo Li, Zhihong Chen, Zhen Li, Xiang Wan, Tsung-Hui Chang:
Graph Enhanced Contrastive Learning for Radiology Findings Summarization. ACL (1) 2022: 4677-4688 - [c75]Xinzhi Ning, Shutao Zhang, Xi Zheng, Tsung-Hui Chang:
Multi-Grid-Based Localized Statistical Channel Modeling: A Radio Map Approach. ISWCS 2022: 1-6 - [c74]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: 679-689 - [c73]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: 1822-1831 - [c72]Jinpeng Hu, Yaling Shen, Yang Liu, Xiang Wan, Tsung-Hui Chang:
Hero-Gang Neural Model For Named Entity Recognition. NAACL-HLT 2022: 1924-1936 - [c71]Jinpeng Hu, He Zhao, Dan Guo, Xiang Wan, Tsung-Hui Chang:
A Label-Aware Autoregressive Framework for Cross-Domain NER. NAACL-HLT (Findings) 2022: 2222-2232 - [c70]Lei Li, Qian Chen, Xing Zeng, Tsung-Hui Chang:
Downlink CSI Sensing from Heterogeneous User Feedbacks: A Constrained Phase Retrieval Approach. SPAWC 2022: 1-5 - [i61]Jinpeng Hu, Zhuo Li, Zhihong Chen, Zhen Li, Xiang Wan, Tsung-Hui Chang:
Graph Enhanced Contrastive Learning for Radiology Findings Summarization. CoRR abs/2204.00203 (2022) - [i60]Yiwei Li, Shuai Wang, Tsung-Hui Chang, Chong-Yung Chi:
Federated Stochastic Primal-dual Learning with Differential Privacy. CoRR abs/2204.12284 (2022) - [i59]Jinpeng Hu, Yaling Shen, Yang Liu, Xiang Wan, Tsung-Hui Chang:
Hero-Gang Neural Model For Named Entity Recognition. CoRR abs/2205.07177 (2022) - [i58]Yang Liu, Jinpeng Hu, Xiang Wan, Tsung-Hui Chang:
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction. CoRR abs/2205.09536 (2022) - [i57]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 abs/2205.14283 (2022) - [i56]Lei Li, Xing Zeng, Ya-Feng Liu, Yanqing Xu, Tsung-Hui Chang:
CSI Sensing from Heterogeneous User Feedbacks: A Constrained Phase Retrieval Approach. CoRR abs/2206.13882 (2022) - [i55]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 abs/2209.07098 (2022) - [i54]Jinpeng Hu, Zhihong Chen, Yang Liu, Xiang Wan, Tsung-Hui Chang:
Improving Radiology Summarization with Radiograph and Anatomy Prompts. CoRR abs/2210.08303 (2022) - [i53]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 abs/2210.09659 (2022) - [i52]Yanqing Xu, Bo Wang, Enbin Song, Qingjiang Shi, Tsung-Hui Chang:
Low-Complexity Channel Estimation for Massive MIMO Systems with Decentralized Baseband Processing. CoRR abs/2210.15917 (2022) - [i51]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 abs/2212.01519 (2022) - 2021
- [j54]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) - [j53]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: 4486-4501 (2021) - [j52]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: 5273-5288 (2021) - [j51]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): 6506-6521 (2021) - [c69]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: 4980-4990 - [c68]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: 213-220 - [c67]Shuai Wang, Richard Cornelius Suwandi, Tsung-Hui Chang:
Demystifying Model Averaging for Communication-Efficient Federated Matrix Factorization. ICASSP 2021: 3680-3684 - [c66]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: 4945-4949 - [c65]Yanmeng Wang, Yanqing Xu, Qingjiang Shi, Tsung-Hui Chang:
Robust Federated Learning in Wireless Channels with Transmission Outage and Quantization Errors. SPAWC 2021: 586-590 - [i50]Jiawei Zhang, Songyang Ge, Tsung-Hui Chang, Zhi-Quan Luo:
Decentralized Non-Convex Learning with Linearly Coupled Constraints. CoRR abs/2103.05378 (2021) - [i49]Wenwen Min, Taosheng Xu, Xiang Wan, Tsung-Hui Chang:
Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis. CoRR abs/2104.13171 (2021) - [i48]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 abs/2105.01696 (2021) - [i47]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 abs/2105.05717 (2021) - [i46]Yanmeng Wang, Yanqing Xu, Qingjiang Shi, Tsung-Hui Chang:
Quantized Federated Learning under Transmission Delay and Outage Constraints. CoRR abs/2106.09397 (2021) - [i45]Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha:
Low-rank Matrix Recovery With Unknown Correspondence. CoRR abs/2110.07959 (2021) - [i44]Zhiguo Wang, Xintong Wang, Ruoyu Sun, Tsung-Hui Chang:
Federated Semi-Supervised Learning with Class Distribution Mismatch. CoRR abs/2111.00010 (2021) - [i43]Jinpeng Hu, Jianling Li, Zhihong Chen, Yaling Shen, Yan Song, Xiang Wan, Tsung-Hui Chang:
Word Graph Guided Summarization for Radiology Findings. CoRR abs/2112.09925 (2021) - 2020
- [j50]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: 101817 (2020) - [j49]Ying Cui, Tsung-Hui Chang, Mingyi Hong, Jong-Shi Pang:
A Study of Piecewise Linear-Quadratic Programs. J. Optim. Theory Appl. 186(2): 523-553 (2020) - [j48]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): 833-861 (2020) - [j47]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): 26-38 (2020) - [j46]Chao Shen, Tsung-Hui Chang, Jie Gong, Yong Zeng, Rui Zhang:
Multi-UAV Interference Coordination via Joint Trajectory and Power Control. IEEE Trans. Signal Process. 68: 843-858 (2020) - [j45]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: 4242-4257 (2020) - [j44]Lei Li, Tsung-Hui Chang, Shu Cai:
UAV Positioning and Power Control for Two-Way Wireless Relaying. IEEE Trans. Wirel. Commun. 19(2): 1008-1024 (2020) - [j43]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): 1054-1069 (2020) - [c64]Zhihong Chen, Yan Song, Tsung-Hui Chang, Xiang Wan:
Generating Radiology Reports via Memory-driven Transformer. EMNLP (1) 2020: 1439-1449 - [c63]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: 5740-5744 - [c62]Ailin Cao, Chao Shen, Jiaying Zong, Tsung-Hui Chang:
Peak Age-of-Information Minimization of UAV-Aided Relay Transmission. ICC Workshops 2020: 1-6 - [c61]Minghe Zhu, Tsung-Hui Chang:
Optimization Inspired Learning Network for Multiuser Robust Beamforming. SAM 2020: 1-5 - [c60]Yiwei Li, Tsung-Hui Chang, Chong-Yung Chi:
Secure Federated Averaging Algorithm with Differential Privacy. MLSP 2020: 1-6 - [i42]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 abs/2001.04786 (2020) - [i41]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 abs/2002.04235 (2020) - [i40]Shuai Wang, Tsung-Hui Chang:
Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing. CoRR abs/2002.04930 (2020) - [i39]Zhihong Chen, Yan Song, Tsung-Hui Chang, Xiang Wan:
Generating Radiology Reports via Memory-driven Transformer. CoRR abs/2010.16056 (2020) - [i38]Minghe Zhu, Tsung-Hui Chang, Mingyi Hong:
Learning to Beamform in Heterogeneous Massive MIMO Networks. CoRR abs/2011.03971 (2020) - [i37]Zhiguo Wang, Jiawei Zhang, Tsung-Hui Chang, Jian Li, Zhi-Quan Luo:
Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems. CoRR abs/2011.05082 (2020) - [i36]Haoran Sun, Wenqiang Pu, Minghe Zhu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong:
Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment. CoRR abs/2011.07782 (2020)
2010 – 2019
- 2019
- [j42]Jianhua Tang, Tony Q. S. Quek, Tsung-Hui Chang, Byonghyo Shim:
Systematic Resource Allocation in Cloud RAN With Caching as a Service Under Two Timescales. IEEE Trans. Commun. 67(11): 7755-7770 (2019) - [j41]Kuo-Ming Chen, Tsung-Hui Chang, Kai-Cheng Wang, Ta-Sung Lee:
Machine Learning Based Automatic Diagnosis in Mobile Communication Networks. IEEE Trans. Veh. Technol. 68(10): 10081-10093 (2019) - [j40]Xiaozhou Zhang, Tsung-Hui Chang, Ya-Feng Liu, Chao Shen, Gang Zhu:
Max-Min Fairness User Scheduling and Power Allocation in Full-Duplex OFDMA Systems. IEEE Trans. Wirel. Commun. 18(6): 3078-3092 (2019) - [c59]