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2020 – today
- 2023
[j25]Zhi-An Huang
, Yao Hu, Rui Liu, Xiaoming Xue, Zexuan Zhu, Linqi Song, Kay Chen Tan:
Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans. IEEE Trans. Biomed. Eng. 70(4): 1137-1149 (2023)- [j24]Yao Hu, Xiaoyan Sun, Ye Tian, Linqi Song, Kay Chen Tan:
Communication Efficient Federated Learning With Heterogeneous Structured Client Models. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 753-767 (2023) - [i47]Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan:
A Scalable Test Problem Generator for Sequential Transfer Optimization. CoRR abs/2304.08503 (2023) - [i46]Guangfeng Yan, Tan Li, Kui Wu, Linqi Song:
Killing Two Birds with One Stone: Quantization Achieves Privacy in Distributed Learning. CoRR abs/2304.13545 (2023) - [i45]Han Wu, Mingjie Zhan, Haochen Tan, Zhaohui Hou, Ding Liang, Linqi Song:
VCSUM: A Versatile Chinese Meeting Summarization Dataset. CoRR abs/2305.05280 (2023) - [i44]Sichun Luo, Yuanzhang Xiao, Xinyi Zhang, Yang Liu, Wenbo Ding, Linqi Song:
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training. CoRR abs/2305.06622 (2023) - [i43]Haochen Tan, Han Wu, Wei Shao, Xinyun Zhang, Mingjie Zhan, Zhaohui Hou, Ding Liang, Linqi Song:
Self-Supervised Sentence Compression for Meeting Summarization. CoRR abs/2305.07988 (2023) - 2022
- [j23]Lei Huang, Jiecong Lin, Xiangtao Li, Linqi Song, Zetian Zheng, Ka-Chun Wong:
EGFI: drug-drug interaction extraction and generation with fusion of enriched entity and sentence information. Briefings Bioinform. 23(1) (2022) - [j22]Shuqi Liu, Wei Shao, Tan Li, Weitao Xu, Linqi Song:
Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey. Digit. Signal Process. 125: 103120 (2022) - [j21]Wenbo Ding, Amir Hossein Alavi, Francesco Fioranelli, Gang Li, Xiaoyue Ni, Linqi Song:
Sensing, processing, computing and networking for the era of wearables. Digit. Signal Process. 125: 103569 (2022) - [j20]Tan Li, Linqi Song:
Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits. IEEE J. Sel. Areas Commun. 40(3): 773-787 (2022) - [j19]Guangfeng Yan, Tan Li, Shao-Lun Huang, Tian Lan, Linqi Song:
AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning. IEEE J. Sel. Areas Commun. 40(9): 2678-2693 (2022) - [j18]Xiaoming Xue, Cuie Yang, Yao Hu, Kai Zhang, Yiu-Ming Cheung, Linqi Song, Kay Chen Tan:
Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems. IEEE Trans. Evol. Comput. 26(6): 1424-1438 (2022) - [j17]Yuzhu Mao, Zihao Zhao, Guangfeng Yan, Yang Liu, Tian Lan, Linqi Song, Wenbo Ding:
Communication-Efficient Federated Learning with Adaptive Quantization. ACM Trans. Intell. Syst. Technol. 13(4): 67:1-67:26 (2022) - [c48]Haochen Tan, Wei Shao, Han Wu, Ke Yang, Linqi Song:
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings. ACL (Findings) 2022: 246-256 - [c47]Sichun Luo, Xinyi Zhang, Yuanzhang Xiao, Linqi Song:
HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations. CIKM 2022: 1389-1398 - [c46]Sichun Luo, Yuanzhang Xiao, Linqi Song:
Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation. CIKM 2022: 4289-4293 - [c45]Zengyan Liu, Linqi Song, Christina Fragouli:
Federated Multi-Armed Bandits With Vector Rewards for Aspect-Based Recommendations. GLOBECOM 2022: 1079-1084 - [c44]Huanqi Yang, Hongbo Liu, Chengwen Luo, Yuezhong Wu, Wei Li, Albert Y. Zomaya, Linqi Song, Weitao Xu:
Vehicle-Key: A Secret Key Establishment Scheme for LoRa-enabled IoV Communications. ICDCS 2022: 787-797 - [c43]Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan:
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. ICDCS 2022: 1223-1235 - [c42]Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Linqi Song, Kay Chen Tan:
A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans. IJCNN 2022: 1-8 - [c41]Wei Shao, Lei Huang, Shuqi Liu, Shihua Ma, Linqi Song:
Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models. IJCNN 2022: 1-9 - [c40]Han Wu, Haochen Tan, Kun Xu, Shuqi Liu, Lianwei Wu, Linqi Song:
Zero-shot Cross-lingual Conversational Semantic Role Labeling. NAACL-HLT (Findings) 2022: 269-281 - [c39]Haoyu Chen, Linqi Song, Zhenxing Qian, Xinpeng Zhang, Kede Ma:
Hiding Images in Deep Probabilistic Models. NeurIPS 2022 - [c38]Tan Li, Linqi Song:
Federated Adaptive Bandits Aided Caching for Heterogeneous Edge Servers with Uncertainty. WCNC 2022: 1904-1909 - [i42]Haochen Tan, Wei Shao, Han Wu, Ke Yang, Linqi Song:
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings. CoRR abs/2203.05877 (2022) - [i41]Han Wu, Haochen Tan, Kun Xu, Shuqi Liu, Lianwei Wu, Linqi Song:
Zero-shot Cross-lingual Conversational Semantic Role Labeling. CoRR abs/2204.04914 (2022) - [i40]Han Wu, Haochen Tan, Mingjie Zhan, Gangming Zhao, Shaoqing Lu, Ding Liang, Linqi Song:
Learning Locality and Isotropy in Dialogue Modeling. CoRR abs/2205.14583 (2022) - [i39]Wei Shao, Lei Huang, Shuqi Liu, Shihua Ma, Linqi Song:
Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models. CoRR abs/2206.07960 (2022) - [i38]Zihao Zhao, Yuzhu Mao, Yang Liu, Linqi Song, Ye Ouyang, Xinlei Chen, Wenbo Ding:
Towards Efficient Communications in Federated Learning: A Contemporary Survey. CoRR abs/2208.01200 (2022) - [i37]Sichun Luo, Yuanzhang Xiao, Linqi Song:
Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation. CoRR abs/2208.09375 (2022) - [i36]Sichun Luo, Xinyi Zhang, Yuanzhang Xiao, Linqi Song:
HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations. CoRR abs/2208.09586 (2022) - [i35]Sichun Luo, Yuanzhang Xiao, Yang Liu, Congduan Li, Linqi Song:
Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation. CoRR abs/2208.10692 (2022) - [i34]Haoyu Chen, Linqi Song, Zhenxing Qian, Xinpeng Zhang, Kede Ma:
Hiding Images in Deep Probabilistic Models. CoRR abs/2210.02257 (2022) - [i33]Mengzhe Ruan, Guangfeng Yan, Yuanzhang Xiao, Linqi Song, Weitao Xu:
Adaptive Top-K in SGD for Communication-Efficient Distributed Learning. CoRR abs/2210.13532 (2022) - 2021
- [j16]Mianlong Chen, Kui Wu, Linqi Song:
A Whittle Index Approach to Minimizing Age of Multi-Packet Information in IoT Network. IEEE Access 9: 31467-31480 (2021) - [j15]Wei Shao, Bolin Hua, Linqi Song:
A Pattern and POS Auto-Learning Method for Terminology Extraction from Scientific Text. Data Inf. Manag. 5(3): 329-335 (2021) - [j14]Kun Xu, Han Wu, Linfeng Song, Haisong Zhang, Linqi Song, Dong Yu:
Conversational Semantic Role Labeling. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2465-2475 (2021) - [j13]Tan Li, Yuanzhang Xiao, Linqi Song:
Integrating Future Smart Home Operation Platform With Demand Side Management via Deep Reinforcement Learning. IEEE Trans. Green Commun. Netw. 5(2): 921-933 (2021) - [j12]Deepesh Data, Linqi Song, Suhas N. Diggavi:
Data Encoding for Byzantine-Resilient Distributed Optimization. IEEE Trans. Inf. Theory 67(2): 1117-1140 (2021) - [c37]Han Wu, Kun Xu, Linfeng Song, Lifeng Jin, Haisong Zhang, Linqi Song:
Domain-Adaptive Pretraining Methods for Dialogue Understanding. ACL/IJCNLP (2) 2021: 665-669 - [c36]Han Wu, Kun Xu, Linqi Song:
CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling. EMNLP (1) 2021: 2312-2317 - [c35]Rasmus Vestergaard, Osama A. Hanna, Linqi Song, Daniel E. Lucani, Christina Fragouli:
On Coded Broadcasting for Wireless Recommendation Systems. ICC 2021: 1-6 - [c34]Tong Xu, Angela Lu, Abhay Mishra, Linqi Song, Zengyan Liu:
Racial Bias During "Black Lives Matter": How Social Movement Reshapes Airbnb Host Performance. ICIS 2021 - [c33]Boyu He, Han Wu, Congduan Li, Linqi Song, Weigang Chen:
K-CSRL: Knowledge Enhanced Conversational Semantic Role Labeling. ICMLC 2021: 530-535 - [c32]Xinlin Li, Shuqi Liu, Xinyi Zhang, Linqi Song:
Predicting Downside in Stock Market Using Knowledge and News Data. ICPADS 2021: 34-41 - [c31]Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan:
Live Gradient Compensation for Evading Stragglers in Distributed Learning. INFOCOM 2021: 1-10 - [c30]Siyuan Wang, Qifa Yan, Jingjing Zhang, Jianping Wang, Linqi Song:
Coded Alternating Least Squares for Straggler Mitigation in Distributed Recommendations. ISIT 2021: 1058-1063 - [c29]Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song:
DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. MASS 2021: 136-144 - [i32]Lei Huang, Jiecong Lin, Xiangtao Li, Linqi Song, Ka-Chun Wong:
EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information. CoRR abs/2101.09914 (2021) - [i31]Kun Xu, Han Wu, Linfeng Song, Haisong Zhang, Linqi Song, Dong Yu:
Conversational Semantic Role Labeling. CoRR abs/2104.04947 (2021) - [i30]Yuzhu Mao, Zihao Zhao, Guangfeng Yan, Yang Liu, Tian Lan, Linqi Song, Wenbo Ding:
Communication Efficient Federated Learning with Adaptive Quantization. CoRR abs/2104.06023 (2021) - [i29]Siyuan Wang, Qifa Yan, Jingjing Zhang, Jianping Wang, Linqi Song:
Coded Alternating Least Squares for Straggler Mitigation in Distributed Recommendations. CoRR abs/2105.03631 (2021) - [i28]Han Wu, Kun Xu, Linfeng Song, Lifeng Jin, Haisong Zhang, Linqi Song:
Domain-Adaptive Pretraining Methods for Dialogue Understanding. CoRR abs/2105.13665 (2021) - [i27]Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song:
DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. CoRR abs/2107.14575 (2021) - [i26]Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan:
SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. CoRR abs/2109.05872 (2021) - [i25]Han Wu, Kun Xu, Linqi Song:
CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling. CoRR abs/2109.11541 (2021) - [i24]Tan Li, Linqi Song:
Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits. CoRR abs/2111.01570 (2021) - 2020
- [j11]Haoyue Tang, Jintao Wang, Linqi Song, Jian Song:
Minimizing Age of Information With Power Constraints: Multi-User Opportunistic Scheduling in Multi-State Time-Varying Channels. IEEE J. Sel. Areas Commun. 38(5): 854-868 (2020) - [j10]Linqi Song, Christina Fragouli, Tianchu Zhao:
A Pliable Index Coding Approach to Data Shuffling. IEEE Trans. Inf. Theory 66(3): 1333-1353 (2020) - [j9]Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli:
Privacy in Index Coding: $k$ -Limited-Access Schemes. IEEE Trans. Inf. Theory 66(5): 2625-2641 (2020) - [j8]Lixing Chen, Linqi Song, Jacob Chakareski, Jie Xu:
Collaborative Content Placement Among Wireless Edge Caching Stations With Time-to-Live Cache. IEEE Trans. Multim. 22(2): 432-444 (2020) - [j7]Yang Bai, Lixing Chen, Linqi Song, Jie Xu:
Risk-Aware Edge Computation Offloading Using Bayesian Stackelberg Game. IEEE Trans. Netw. Serv. Manag. 17(2): 1000-1012 (2020) - [c28]Kun Xu, Haochen Tan, Linfeng Song, Han Wu, Haisong Zhang, Linqi Song, Dong Yu:
Semantic Role Labeling Guided Multi-turn Dialogue ReWriter. EMNLP (1) 2020: 6632-6639 - [c27]Congduan Li, Jingliang He, Shiqiu Liu, Dongliang Guo, Linqi Song:
On Secrecy Key of a class of Secure Asymmetric Multilevel Diversity Coding System. ISIT 2020: 879-883 - [c26]Tan Li, Linqi Song, Christina Fragouli:
Federated Recommendation System via Differential Privacy. ISIT 2020: 2592-2597 - [c25]Weijing Chen, Weigang Chen, Linqi Song:
Enhancing Deep Multimedia Recommendations Using Graph Embeddings. MIPR 2020: 161-166 - [c24]Jingliang He, Congduan Li, Linqi Song:
Coded Caching with Heterogeneous User Groups. WCNC Workshops 2020: 1-6 - [i23]Tan Li, Linqi Song, Christina Fragouli:
Federated Recommendation System via Differential Privacy. CoRR abs/2005.06670 (2020) - [i22]Kun Xu, Haochen Tan, Linfeng Song, Han Wu, Haisong Zhang, Linqi Song, Dong Yu:
Semantic Role Labeling Guided Multi-turn Dialogue ReWriter. CoRR abs/2010.01417 (2020) - [i21]Jing Dong, Tan Li, Shaolei Ren, Linqi Song:
Distributed Thompson Sampling. CoRR abs/2012.01789 (2020)
2010 – 2019
- 2019
- [c23]Haoyue Tang, Jintao Wang, Linqi Song, Jian Song:
Scheduling to Minimize Age of Information in Multi-State Time-Varying Networks with Power Constraints. Allerton 2019: 1198-1205 - [c22]Yang Bai, Lixing Chen, Linqi Song, Jie Xu:
Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading. MTD@CCS 2019: 25-35 - [c21]Chengshuai Shi, Lixing Chen, Cong Shen, Linqi Song, Jie Xu:
Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning. GLOBECOM 2019: 1-6 - [c20]Letian Zhang, Linqi Song, Jie Xu:
Preventing Malware Propagation in D2D Offloading Networks with Strategic Mobile Users. GLOBECOM 2019: 1-6 - [c19]Linqi Song, Christina Fragouli, Devavrat Shah:
Interactions Between Learning and Broadcasting in Wireless Recommendation Systems. ISIT 2019: 2549-2553 - [c18]Deepesh Data, Linqi Song, Suhas N. Diggavi:
Data Encoding Methods for Byzantine-Resilient Distributed Optimization. ISIT 2019: 2719-2723 - [c17]Tan Li, Yuanzhang Xiao, Linqi Song:
Deep Reinforcement Learning Based Residential Demand Side Management With Edge Computing. SmartGridComm 2019: 1-6 - [i20]Erkao Bao, Linqi Song:
Equivariant neural networks and equivarification. CoRR abs/1906.07172 (2019) - [i19]Deepesh Data, Linqi Song, Suhas N. Diggavi:
Data Encoding for Byzantine-Resilient Distributed Optimization. CoRR abs/1907.02664 (2019) - [i18]Mengwei Yang, Linqi Song, Jie Xu, Congduan Li, Guozhen Tan:
The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost. CoRR abs/1907.07157 (2019) - [i17]Haoyue Tang, Jintao Wang, Linqi Song, Jian Song:
Scheduling to Minimize Age of Information in Multi-State Time-Varying Networks with Power Constraints. CoRR abs/1908.01334 (2019) - [i16]Haoyue Tang, Jintao Wang, Linqi Song, Jian Song:
Minimizing Age of Information with Power Constraints: Opportunistic Scheduling in Multi-State Time-Varying Networks. CoRR abs/1912.05947 (2019) - 2018
- [j6]Linqi Song, Christina Fragouli:
A Polynomial-Time Algorithm for Pliable Index Coding. IEEE Trans. Inf. Theory 64(2): 979-999 (2018) - [j5]Linqi Song, Christina Fragouli:
Making Recommendations Bandwidth Aware. IEEE Trans. Inf. Theory 64(11): 7031-7050 (2018) - [c16]Deepesh Data, Linqi Song, Suhas N. Diggavi:
Data Encoding for Byzantine-Resilient Distributed Gradient Descent. Allerton 2018: 863-870 - [c15]Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli:
Privacy in Index Coding: Improved Bounds and Coding Schemes. ISIT 2018: 831-835 - [c14]Sundara Rajan Srinivasavaradhan, Linqi Song, Christina Fragouli:
Distributed Computing Trade-offs with Random Connectivity. ISIT 2018: 1281-1285 - [c13]Linqi Song:
A Binary Randomized Coding Scheme for Pliable Index Coding with Multiple Requests. ISTC 2018: 1-5 - [c12]Linqi Song, Jie Xu:
Dynamic Edge Caching with Popularity Drifting. ITW 2018: 1-5 - [c11]Linqi Song, Christina Fragouli, Devavrat Shah:
Recommender Systems over Wireless: Challenges and Opportunities. ITW 2018: 1-5 - [i15]Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli:
Privacy in Index Coding: Improved Bounds and Coding Schemes. CoRR abs/1801.03892 (2018) - [i14]Linqi Song, Jie Xu:
Dynamic Edge Caching with Popularity Drifting. CoRR abs/1809.04486 (2018) - [i13]Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli:
Privacy in Index Coding: k-Limited-Access Schemes. CoRR abs/1809.08263 (2018) - [i12]Linqi Song, Christina Fragouli, Devavrat Shah:
Regret vs. Bandwidth Trade-off for Recommendation Systems. CoRR abs/1810.06313 (2018) - 2017
- [b1]Linqi Song:
Content-Type Coding. University of California, Los Angeles, USA, 2017 - [c10]Linqi Song, Christina Fragouli:
Making recommendations bandwidth aware. ISIT 2017: 2243-2247 - [c9]Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli:
Private Broadcasting: An index coding approach. ISIT 2017: 2543-2547 - [c8]Linqi Song, Christina Fragouli, Tianchu Zhao:
A pliable index coding approach to data shuffling. ISIT 2017: 2558-2562 - [c7]Linqi Song, Sundara Rajan Srinivasavaradhan, Christina Fragouli:
The benefit of being flexible in distributed computation. ITW 2017: 289-293 - [c6]Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli:
Preserving privacy while broadcasting: K-limited-access schemes. ITW 2017: 514-518 - [i11]Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli:
Private Broadcasting: an Index Coding Approach. CoRR abs/1701.04958 (2017) - [i10]Linqi Song, Christina Fragouli:
A Pliable Index Coding Approach to Data Shuffling. CoRR abs/1701.05540 (2017) - [i9]Linqi Song, Jie Xu:
A Contextual Bandit Approach for Stream-Based Active Learning. CoRR abs/1701.06725 (2017) - [i8]Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli:
Preserving Privacy while Broadcasting: $k$-Limited-Access Schemes. CoRR abs/1705.08437 (2017) - [i7]Linqi Song, Sundara Rajan Srinivasavaradhan, Christina Fragouli:
The Benefit of Being Flexible in Distributed Computation. CoRR abs/1705.08464 (2017) - 2016
- [j4]Jie Xu, Linqi Song, James Y. Xu, Gregory J. Pottie, Mihaela van der Schaar:
Personalized Active Learning for Activity Classification Using Wireless Wearable Sensors. IEEE J. Sel. Top. Signal Process. 10(5): 865-876 (2016) - [j3]Linqi Song, William Hsu, Jie Xu, Mihaela van der Schaar:
Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening. IEEE J. Biomed. Health Informatics 20(3): 902-914 (2016) - [j2]Linqi Song, Cem Tekin, Mihaela van der Schaar:
Online Learning in Large-Scale Contextual Recommender Systems. IEEE Trans. Serv. Comput. 9(3): 433-445 (2016) - [c5]Linqi Song, Christina Fragouli:
A polynomial-time algorithm for pliable index coding. ISIT 2016: 120-124 - [i6]Linqi Song, Christina Fragouli:
A Deterministic Algorithm for Pliable Index Coding. CoRR abs/1601.05516 (2016) - [i5]Linqi Song:
Stream-based Online Active Learning in a Contextual Multi-Armed Bandit Framework. CoRR abs/1607.03182 (2016) - [i4]Linqi Song, Christina Fragouli:
Making recommendations bandwidth aware. CoRR abs/1607.03948 (2016) - [i3]Linqi Song, Christina Fragouli:
A Polynomial-Time Algorithm for Pliable Index Coding. CoRR abs/1610.06845 (2016) - 2015
- [c4]Linqi Song, Christina Fragouli:
Content-type coding. NetCod 2015: 31-35 - [i2]Linqi Song, Christina Fragouli:
Content-type coding. CoRR abs/1505.03561 (2015) - 2014
- [j1]Linqi Song, Yuanzhang Xiao, Mihaela van der Schaar:
Demand Side Management in Smart Grids Using a Repeated Game Framework. IEEE J. Sel. Areas Commun. 32(7): 1412-1424 (2014) - [c3]Jie Xu, James Y. Xu, Linqi Song, Gregory J. Pottie, Mihaela van der Schaar:
Context-driven online learning for activity classification in wireless health. GLOBECOM 2014: 2423-2428 - [c2]Linqi Song, Cem Tekin, Mihaela van der Schaar:
Clustering based online learning in recommender systems: A bandit approach. ICASSP 2014: 4528-4532 - [c1]Linqi Song, Yuanzhang Xiao, Mihaela van der Schaar:
Non-stationary demand side management method for smart grids. ICASSP 2014: 7759-7763 - 2013
- [i1]Linqi Song, Yuanzhang Xiao, Mihaela van der Schaar:
Demand Side Management in Smart Grids using a Repeated Game Framework. CoRR abs/1311.1887 (2013)