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Xin Liu 0002
Person information
- affiliation: University of California, Davis, Department of Computer Science, CA, USA
- affiliation (PhD 2002): Purdue University, Department of electrical engineering, West Lafayette, IN, US
Other persons with the same name
- Xin Liu — disambiguation page
- Xin Liu 0001 — University of Chinese Academy of Sciences, Academy of Mathematics and Systems Science, State Key Laboratory of Scientific and Engineering Computing (LSEC), Beijing, China
- Xin Liu 0003 — Shanghai University, School of Communication and Information Engineering, China (and 2 more)
- Xin Liu 0004 — Dalian University of Technology, Department of Construction Management, China
- Xin Liu 0005 — Southwest University, Chongqing, China
- Xin Liu 0006 — European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
- Xin Liu 0007 — BGI-Shenzhen, Guangdong, China (and 1 more)
- Xin Liu 0008 — Curtin University, Australasian Joint Research Centre for Building Information Modelling, Bentley, Australia
- Xin Liu 0009 — Dalian University of Technology, School of Information and Communication Engineering, China (and 3 more)
- Xin Liu 0010 — Purdue University, School of Aeronautics and Astronautics, West Lafayette, IN, USA
- Xin Liu 0011 — Huaqiao University, Department of Computer Science, Xiamen, China (and 1 more)
- Xin Liu 0012 — Tianjin University, School of Electrical and Information Engineering, China (and 3 more)
- Xin Liu 0013 — Inner Mongolia University of Science and Technology, Baotou, China (and 1 more)
- Xin Liu 0014 — Beijing Institute of Technology, School of Automation, China
- Xin Liu 0015 — Institute of Microelectronics, A*STAR (Agency for Science, Technology and Research), Singapore (and 1 more)
- Xin Liu 0016 — Beijing University of Technology, Signal and Information Processing Laboratory, China
- Xin Liu 0017 — University of Waterloo, ON, Canada
- Xin Liu 0018 — National University of Defense Technology, School of Computer, Changsha, China (and 1 more)
- Xin Liu 0019 — Zhejiang University, College of Control Science and Engineering, Hangzhou, China
- Xin Liu 0020 — National Institute of Advanced Industrial Science and Technology, Artificial Intelligence Research Center, Tokyo, Japan (and 1 more)
- Xin Liu 0021 — Guilin University of Technology, College of Information Science and Engineering, China (and 1 more)
- Xin Liu 0022 — China University of Petroleum (East China), Department of Software Engineering, Qingdao, China (and 1 more)
- Xin Liu 0023 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
- Xin Liu 0024 — Central South University of China, School of Business, Changsha, China
- Xin Liu 0025 — Tongji University, School of Economics and Management, Shanghai, China
- Xin Liu 0026 — North China Electric Power University, Department of Electrical Engineering, Baoding, China
- Xin Liu 0027 — Hangzhou Dianzi University, School of Automation, China (and 2 more)
- Xin Liu 0028 — Stanford University School of Medicine, Department of Genetics, CA, USA (and 2 more)
- Xin Liu 0029 — Southern University of Science and Technology, Department of Mathematics, Shenzhen, China (and 1 more)
- Xin Liu 0030 — Lanzhou University, School of Information Science and Engineering, China
- Xin Liu 0031 — China University of Mining and Technology, School of Environment Science and Spatial Informatics, Xuzhou, China
- Xin Liu 0032 — Clemson University, Department of Mathematical Sciences, SC, USA
- Xin Liu 0033 — Taiyuan University of Technology, College of Physics and Optoelectronics, Key Laboratory of Advanced Transducers and Intelligent Control Systems, Taiyuan, China
- Xin Liu 0034 — University of Washington, Seattle, WA, USA (and 1 more)
- Xin Liu 0035 — University of Arizona, Tucson, USA
- Xin Liu 0036 — Anhui University, School of Computer Science and Technology, Hefei, China
- Xin Liu 0037 — Texas A&M University, Department of Mathematics, College Station, TX, USA
- Xin Liu 0038 — Harbin Institute of Technology, School of Astronautics, Institute of Intelligent Control and Systems, Harbin, China
- Xin Liu 0039 — Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
- Xin Liu 0040 — Lanzhou University, College of Atmospheric Sciences, Lanzhou, China
- Xin Liu 0041 — Huazhong University of Science and Technology, School of Optical and Electronic Information, Wuhan, China
- Xin Liu 0042 — Army Engineering University of PLA, College of Command and Control Engineering, Nanjing, China
- Xin Liu 0043 — Beijing University of Technology, School of Electronic Information and Control Engineering, Speech and Audio Signal Processing Laboratory, Beijing, China
- Xin Liu 0044 — Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Beijing, China (and 1 more)
- Xin Liu 0045 — University of Maryland, Baltimore County, Department of Computer Science and Electrical Engineering, Baltimore, MD, USA
- Xin Liu 0046 — NEC Laboratories of America, Cupertino, CA, USA (and 1 more)
- Xin Liu 0047 — University of Calgary, Department of Computer Science, Calgary, Canada (and 1 more)
- Xin Liu 0048 — Liaoning Normal University, School of Mathematics, Dalian, China
- Xin Liu 0049 — ShanghaiTech University, Shanghai, China (and 1 more)
- Xin Liu 0050 — Lanzhou University, School of Information Science and Engineering, China
- Xin Liu 0051 — University of Macau, Department of Electrical and Computer Engineering / State Key Laboratory of Analog and Mixed-Signal VLSI, Macau
- Xin Liu 0052 — Taiyuan University of Science and Technology, College of Electronics and Information Engineering, China
- Xin Liu 0053 — Chinese Academy of Sciences, Shenzhen Key Laboratory for MRI, Lauterbur Imaging Research Center, China
- Xin Liu 0054 — Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen Chinese Calligraphy Digital Simulation Engineering Laboratory, China
- Xin Liu 0055 — Hebei University of Technology, School of Artificial Intelligence, State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Tianjin, China
- Xin Liu 0056 — Brookhaven National Laboratory, Computer Science Center, Upton, NY, USA (and 1 more)
- Xin Liu 0057 — State University of New York at Buffalo, Department of Computer Science and Engineering, NY, USA
- Xin Liu 0058 — Illinois Institute of Technology, Department of Computer Science, Chicago, IL, USA
- Xin Liu 0059 — Duke University, Department of Computer Science, Durham, NC, USA (and 1 more)
- Xin Liu 0060 — Columbia University, Department of Biomedical Informatics, New York, NY, USA
- Xin Liu 0062 — University of California San Diego, Department of Electrical and Computer Engineering, CA, USA
- Xin Liu 0063 — Tsinghua University, Department of Electronic Engineering, Beijing,China
- Xin Liu 0064 — University of Science and Technology Beijing, School of Computer and Communication Engineering, Beijing Key Laboratory of Knowledge Engineering for Materials Science, China (and 2 more)
- Xin Liu 0065 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Xin Liu 0066 — Xiamen University, China
- Xin Liu 0067 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Xin Liu 0068 — Yanshan University, Department of Industrial Computer Control Engineering, Qinhuangdao, China
- Xin Liu 0069 — Chinese Academy of Sciences, Institute of Hydrobiology, State Key Laboratory of Freshwater Ecology and Biotechnology, Wuhan, China
- Xin Liu 0070 — Northwest University, School of Information Science and Technology, Xi'an, China
- Xin Liu 0071 — University of Science and Technology Liaoning, School of Electronic and Information Engineering, Anshan, China
- Xin Liu 0072 — Southwestern University of Finance and Economics, School of Statistics, Chengdu, China
- Xin Liu 0073 — Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, Beijing, China
- Xin Liu 0074 — University of Wollongong, Institute of Cybersecurity and Cryptology, School of Computing and Information Technology, NSW, Australia
- Xin Liu 0075 — Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA (and 1 more)
- Xin Liu 0076 — Southeast University, School of Transportation, Jiangsu Key Laboratory of Urban ITS, Nanjing, China
- Xin Liu 0077 — University of Auckland, Electrical Computer and Software Engineering Department, New Zealand
- Xin Liu 0078 — Xi'an Jiaotong University, School of Mathematics and Statistics, China
- Xin Liu 0079 — Shandong University of Science and Technology, College of Geodesy and Geomatics, Qingdao, China
- Xin Liu 0080 — Qinghai Normal University, Computer Department, Xining, China
- Xin Liu 0081 — National Research Centre of Parallel Computer Engineering and Technology, Wuxi, China (and 1 more)
- Xin Liu 0082 — Tiangong University, Tianjin Key Laboratory of Modern Electromechanical Equipment Technology, China (and 2 more)
- Xin Liu 0083 — Qingdao University of Technology, School of Management Engineering, China
- Xin Liu 0084 — Chinese Academy of Sciences, Shanghai Institute of Technical Physics, Key Laboratory of Intelligent Infrared Perception, China
- Xin Liu 0085 — Hefei University of Technology, China (and 1 more)
- Xin Liu 0086 — East China Normal University, Shanghai, China (and 1 more)
- Xin Liu 0087 — School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
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2020 – today
- 2024
- [j62]Ilias Tagkopoulos, J. Mason Earles, Danielle G. Lemay, Xin Liu, Nitin Nitin, Aaron D. Smith, Tarek I. Zohdi, Stephen F. Brown:
The AIFS Institute: Building a better food system through AI. AI Mag. 45(1): 89-93 (2024) - [j61]Chao Huang, Ming Tang, Qian Ma, Jianwei Huang, Xin Liu:
Promoting Collaboration in Cross-Silo Federated Learning: Challenges and Opportunities. IEEE Commun. Mag. 62(4): 82-88 (2024) - [j60]Avishai Halev, Yongshuai Liu, Xin Liu:
Microgrid control under uncertainty. Eng. Appl. Artif. Intell. 138: 109360 (2024) - [j59]Chao Huang, Justin Dachille, Xin Liu:
When Federated Learning Meets Oligopoly Competition: Stability and Model Differentiation. IEEE Internet Things J. 11(16): 27409-27420 (2024) - [j58]Albara Ah Ramli, Xin Liu, Kelly Berndt, Erica Goude, Jiahui Hou, Lynea B. Kaethler, Rex Liu, Amanda Lopez, Alina Nicorici, Corey Owens, David Rodriguez, Jane Wang, Huanle Zhang, Daniel Aranki, Craig M. McDonald, Erik K. Henricson:
Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches. Sensors 24(4): 1123 (2024) - [j57]Albara Ah Ramli, Xin Liu, Kelly Berndt, Chen-Nee Chuah, Erica Goude, Lynea B. Kaethler, Amanda Lopez, Alina Nicorici, Corey Owens, David Rodriguez, Jane Wang, Daniel Aranki, Craig M. McDonald, Erik K. Henricson:
Gait Event Detection and Travel Distance Using Waist-Worn Accelerometers across a Range of Speeds: Automated Approach. Sensors 24(4): 1155 (2024) - [j56]Chao Huang, Shuqi Ke, Xin Liu:
Duopoly Business Competition in Cross-Silo Federated Learning. IEEE Trans. Netw. Sci. Eng. 11(1): 340-351 (2024) - [j55]Avik Kar, Rahul Singh, Fang Liu, Xin Liu, Ness B. Shroff:
Linear Bandits With Side Observations on Networks. IEEE/ACM Trans. Netw. 32(5): 4222-4237 (2024) - [c104]Taeyeong Choi, Dario Guevara, Zifei Cheng, Grisha Bandodkar, Chonghan Wang, Brian N. Bailey, Mason Earles, Xin Liu:
DAVIS-Ag: A Synthetic Plant Dataset for Prototyping Domain-Inspired Active Vision in Agricultural Robots. CASE 2024: 2524-2530 - [c103]Chao Huang, Justin Dachille, Xin Liu:
An Accuracy-Shaping Mechanism for Competitive Distributed Learning. ICANN (6) 2024: 143-158 - [c102]Pengchao Han, Chao Huang, Xingyan Shi, Jianwei Huang, Xin Liu:
Incentivizing Participation in SplitFed Learning: Convergence Analysis and Model Versioning. ICDCS 2024: 846-856 - [i51]Pengchao Han, Chao Huang, Geng Tian, Ming Tang, Xin Liu:
Convergence Analysis of Split Federated Learning on Heterogeneous Data. CoRR abs/2402.15166 (2024) - [i50]Fanyu Meng, Jules Larke, Xin Liu, Zhaodan Kong, Xin Chen, Danielle G. Lemay, Ilias Tagkopoulos:
Interpreting Inflammation Prediction Model via Tag-based Cohort Explanation. CoRR abs/2410.14082 (2024) - 2023
- [j54]Xiaoxiao Wang, Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen:
Causal explanation for reinforcement learning: quantifying state and temporal importance. Appl. Intell. 53(19): 22546-22564 (2023) - [j53]Xiaoxiao Wang, Minda Zhao, Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen:
Quantifying Causal Path-Specific Importance in Structural Causal Model. Comput. 11(7): 133 (2023) - [j52]Huanle Zhang, Lei Fu, Mi Zhang, Pengfei Hu, Xiuzhen Cheng, Prasant Mohapatra, Xin Liu:
Federated Learning Hyperparameter Tuning From a System Perspective. IEEE Internet Things J. 10(16): 14102-14113 (2023) - [j51]Lei Fu, Huanle Zhang, Ge Gao, Mi Zhang, Xin Liu:
Client Selection in Federated Learning: Principles, Challenges, and Opportunities. IEEE Internet Things J. 10(24): 21811-21819 (2023) - [j50]Da Xiao, J. Andrew Zhang, Xin Liu, Yiwen Qu, Wei Ni, Ren Ping Liu:
A Two-Stage GCN-Based Deep Reinforcement Learning Framework for SFC Embedding in Multi-Datacenter Networks. IEEE Trans. Netw. Serv. Manag. 20(4): 4297-4312 (2023) - [c101]Yongshuai Liu, Xin Liu:
Farsighter: Efficient Multi-Step Exploration for Deep Reinforcement Learning. ICAART (2) 2023: 380-391 - [c100]Sayantani Sarkar, Katherine K. Kim, Xin Liu, Jill G. Joseph, Joanne Natale:
Feasibility of "Symptom Discovery, " a Longitudinal and Comprehensive Data Collection Tool During COVID-19. MedInfo 2023: 524-528 - [c99]Shahbaz Rezaei, Zubair Shafiq, Xin Liu:
Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective. SP 2023: 364-381 - [c98]Huanle Zhang, Hamed Pirsiavash, Xin Liu:
MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification. WACV 2023: 2507-2516 - [c97]Shuqi Ke, Chao Huang, Xin Liu:
On the Impact of Label Noise in Federated Learning. WiOpt 2023: 183-190 - [i49]Taeyeong Choi, Dario Guevara, Grisha Bandodkar, Zifei Cheng, Chonghan Wang, Brian N. Bailey, Mason Earles, Xin Liu:
DAVIS-Ag: A Synthetic Plant Dataset for Developing Domain-Inspired Active Vision in Agricultural Robots. CoRR abs/2303.05764 (2023) - [i48]Albara Ah Ramli, Xin Liu, Kelly Berndt, Chen-Nee Chuah, Erica Goude, Lynea B. Kaethler, Amanda Lopez, Alina Nicorici, Corey Owens, David Rodriguez, Jane Wang, Daniel Aranki, Craig M. McDonald, Erik K. Henricson:
Automated Detection of Gait Events and Travel Distance Using Waist-worn Accelerometers Across a Typical Range of Walking and Running Speeds. CoRR abs/2307.04866 (2023) - 2022
- [j49]Ilias Tagkopoulos, Stephen F. Brown, Xin Liu, Qing Zhao, Tarek I. Zohdi, J. Mason Earles, Nitin Nitin, Daniel E. Runcie, Danielle G. Lemay, Aaron D. Smith, Pamela C. Ronald, Hao Feng, Gabriel David Youtsey:
Special report: AI Institute for next generation food systems (AIFS). Comput. Electron. Agric. 196: 106819 (2022) - [j48]Huanle Zhang, Nicharee Wisuthiphaet, Hemiao Cui, Nitin Nitin, Xin Liu, Qing Zhao:
Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning. Frontiers Artif. Intell. 5 (2022) - [j47]Chih-Fan Hsu, Yu-Lun Chang, Chun-Ying Huang, Xin Liu:
Measuring Objective Visual Quality of Real-Time Communication Systems in the Wild. Int. J. Semantic Comput. 16(2): 257-280 (2022) - [j46]Yipeng Wang, Xiaochun Yun, Yongzheng Zhang, Chen Zhao, Xin Liu:
A Multi-Scale Feature Attention Approach to Network Traffic Classification and Its Model Explanation. IEEE Trans. Netw. Serv. Manag. 19(2): 875-889 (2022) - [c96]Huanle Zhang, Mi Zhang, Xin Liu, Prasant Mohapatra, Michael DeLucia:
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective. MILCOM 2022: 478-483 - [i47]Guoyao Li, Shahbaz Rezaei, Xin Liu:
User-Level Membership Inference Attack against Metric Embedding Learning. CoRR abs/2203.02077 (2022) - [i46]Shahbaz Rezaei, Xin Liu:
An Efficient Subpopulation-based Membership Inference Attack. CoRR abs/2203.02080 (2022) - [i45]Chao Huang, Huanle Zhang, Xin Liu:
Incentivizing Data Contribution in Cross-Silo Federated Learning. CoRR abs/2203.03885 (2022) - [i44]Muhammad Haroon, Anshuman Chhabra, Xin Liu, Prasant Mohapatra, Zubair Shafiq, Magdalena Wojcieszak:
YouTube, The Great Radicalizer? Auditing and Mitigating Ideological Biases in YouTube Recommendations. CoRR abs/2203.10666 (2022) - [i43]Chao Huang, Jianwei Huang, Xin Liu:
Cross-Silo Federated Learning: Challenges and Opportunities. CoRR abs/2206.12949 (2022) - [i42]Xiaoxiao Wang, Nader Bouacida, Xueying Guo, Xin Liu:
Opportunistic Episodic Reinforcement Learning. CoRR abs/2210.13504 (2022) - [i41]Xiaoxiao Wang, Fanyu Meng, Zhaodan Kong, Xin Chen, Xin Liu:
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance. CoRR abs/2210.13507 (2022) - [i40]Lei Fu, Huanle Zhang, Ge Gao, Huajie Wang, Mi Zhang, Xin Liu:
Client Selection in Federated Learning: Principles, Challenges, and Opportunities. CoRR abs/2211.01549 (2022) - [i39]Shuqi Ke, Chao Huang, Xin Liu:
Quantifying the Impact of Label Noise on Federated Learning. CoRR abs/2211.07816 (2022) - [i38]Huanle Zhang, Lei Fu, Mi Zhang, Pengfei Hu, Xiuzhen Cheng, Prasant Mohapatra, Xin Liu:
Federated Learning Hyper-Parameter Tuning from a System Perspective. CoRR abs/2211.13656 (2022) - [i37]Shahbaz Rezaei, Xin Liu:
On the Discredibility of Membership Inference Attacks. CoRR abs/2212.02701 (2022) - 2021
- [j45]Dawei Chen, Choong Seon Hong, Li Wang, Yiyong Zha, Yunfei Zhang, Xin Liu, Zhu Han:
Matching-Theory-Based Low-Latency Scheme for Multitask Federated Learning in MEC Networks. IEEE Internet Things J. 8(14): 11415-11426 (2021) - [j44]Dawei Chen, Choong Seon Hong, Yiyong Zha, Yunfei Zhang, Xin Liu, Zhu Han:
FedSVRG Based Communication Efficient Scheme for Federated Learning in MEC Networks. IEEE Trans. Veh. Technol. 70(7): 7300-7304 (2021) - [c95]Yongshuai Liu, Xin Liu:
CTS2: Time Series Smoothing with Constrained Reinforcement Learning. ACML 2021: 363-378 - [c94]Yongshuai Liu, Jiaxin Ding, Zhi-Li Zhang, Xin Liu:
CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing. IEEE BigData 2021: 1427-1437 - [c93]Chih-Fan Hsu, Chun-Ying Huang, Xin Liu:
Measuring Objective Visual Quality of Real-time Communication Systems in the Wild. BigMM 2021: 9-16 - [c92]Shahbaz Rezaei, Xin Liu:
On the Difficulty of Membership Inference Attacks. CVPR 2021: 7892-7900 - [c91]Rex Liu, Albara Ah Ramli, Huanle Zhang, Erik K. Henricson, Xin Liu:
An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence. ICIOT 2021: 1-14 - [c90]Yongshuai Liu, Avishai Halev, Xin Liu:
Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey. IJCAI 2021: 4508-4515 - [c89]Nader Bouacida, Jiahui Hou, Hui Zang, Xin Liu:
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning. INFOCOM Workshops 2021: 1-6 - [c88]Yuanjie Li, Esha Datta, Jiaxin Ding, Ness B. Shroff, Xin Liu:
Can Online Learning Increase the Reliability of Extreme Mobility Management? IWQoS 2021: 1-6 - [c87]Yongshuai Liu, Jiaxin Ding, Xin Liu:
Resource Allocation Method for Network Slicing Using Constrained Reinforcement Learning. Networking 2021: 1-3 - [i36]Rex Liu, Albara Ah Ramli, Huanle Zhang, Esha Datta, Xin Liu:
An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence. CoRR abs/2103.15990 (2021) - [i35]Shahbaz Rezaei, Zubair Shafiq, Xin Liu:
Accuracy-Privacy Trade-off in Deep Ensembles. CoRR abs/2105.05381 (2021) - [i34]Albara Ah Ramli, Huanle Zhang, Jiahui Hou, Rex Liu, Xin Liu, Alina Nicorici, Daniel Aranki, Corey Owens, Poonam Prasad, Craig M. McDonald, Erik K. Henricson:
Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches. CoRR abs/2105.06295 (2021) - [i33]Rex Liu, Sarina A. Fazio, Huanle Zhang, Albara Ah Ramli, Xin Liu, Jason Yeates Adams:
Early Mobility Recognition for Intensive Care Unit Patients Using Accelerometers. CoRR abs/2106.15017 (2021) - [i32]Huanle Zhang, Mi Zhang, Xin Liu, Prasant Mohapatra, Michael DeLucia:
Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective. CoRR abs/2110.03061 (2021) - [i31]Huanle Zhang, Nicharee Wisuthiphaet, Hemiao Cui, Nitin Nitin, Xin Liu, Qing Zhao:
Food Science Spectroscopy Model Training: Improving Data Efficiency Using Active Learning and Semi-Supervised Learning. CoRR abs/2110.03765 (2021) - [i30]Yongshuai Liu, Jiaxin Ding, Zhi-Li Zhang, Xin Liu:
CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing. CoRR abs/2111.08397 (2021) - [i29]Rex Liu, Huanle Zhang, Hamed Pirsiavash, Xin Liu:
STAF: A Spatio-Temporal Attention Fusion Network for Few-shot Video Classification. CoRR abs/2112.04585 (2021) - 2020
- [j43]Shahbaz Rezaei, Bryce Kroencke, Xin Liu:
Large-Scale Mobile App Identification Using Deep Learning. IEEE Access 8: 348-362 (2020) - [c86]Yongshuai Liu, Jiaxin Ding, Xin Liu:
IPO: Interior-Point Policy Optimization under Constraints. AAAI 2020: 4940-4947 - [c85]Shahbaz Rezaei, Xin Liu:
Multitask Learning for Network Traffic Classification. ICCCN 2020: 1-9 - [c84]Albara Ah Ramli, Rex Liu, Rahul Krishnamoorthy, Vishal I B, Xiaoxiao Wang, Ilias Tagkopoulos, Xin Liu:
BWCNN: Blink to Word, a Real-Time Convolutional Neural Network Approach. ICIOT 2020: 133-140 - [c83]Shahbaz Rezaei, Xin Liu:
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning. ICLR 2020 - [c82]Yongshuai Liu, Jiaxin Ding, Xin Liu:
A Constrained Reinforcement Learning Based Approach for Network Slicing. ICNP 2020: 1-6 - [i28]Shahbaz Rezaei, Xin Liu:
Towards the Infeasibility of Membership Inference on Deep Models. CoRR abs/2005.13702 (2020) - [i27]Albara Ah Ramli, Rex Liu, Rahul Krishnamoorthy, Vishal I B, Xiaoxiao Wang, Ilias Tagkopoulos, Xin Liu:
BWCNN: Blink to Word, a Real-Time Convolutional Neural Network Approach. CoRR abs/2006.01232 (2020) - [i26]Rahul Singh, Fang Liu, Xin Liu, Ness B. Shroff:
Contextual Bandits with Side-Observations. CoRR abs/2006.03951 (2020) - [i25]Nader Bouacida, Amit Pande, Xin Liu:
An Opportunistic Bandit Approach for User Interface Experimentation. CoRR abs/2006.11873 (2020) - [i24]Yuanjie Li, Esha Datta, Jiaxin Ding, Ness B. Shroff, Xin Liu:
Bandit Policies for Reliable Cellular Network Handovers in Extreme Mobility. CoRR abs/2010.15237 (2020) - [i23]Nader Bouacida, Jiahui Hou, Hui Zang, Xin Liu:
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning. CoRR abs/2011.04050 (2020)
2010 – 2019
- 2019
- [j42]Shahbaz Rezaei, Xin Liu:
Deep Learning for Encrypted Traffic Classification: An Overview. IEEE Commun. Mag. 57(5): 76-81 (2019) - [j41]Yuxuan Sun, Xueying Guo, Jinhui Song, Sheng Zhou, Zhiyuan Jiang, Xin Liu, Zhisheng Niu:
Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems. IEEE Trans. Veh. Technol. 68(4): 3061-3074 (2019) - [c81]Xiaoxiao Wang, Xueying Guo, Jie Chuai, Zhitang Chen, Xin Liu:
Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration. IEEE BigData 2019: 1517-1526 - [c80]Neetu Raveendran, Yiyong Zha, Yunfei Zhang, Xin Liu, Zhu Han:
Virtual Core Network Resource Allocation in 5G Systems using Three-Sided Matching. ICC 2019: 1-6 - [c79]Xueying Guo, Xiaoxiao Wang, Xin Liu:
AdaLinUCB: Opportunistic Learning for Contextual Bandits. IJCAI 2019: 2420-2427 - [c78]Shahbaz Rezaei, Xin Liu:
How to Achieve High Classification Accuracy with Just a Few Labels: A Semisupervised Approach Using Sampled Packets. ICDM 2019: 28-42 - [c77]Jie Chuai, Zhitang Chen, Guochen Liu, Xueying Guo, Xiaoxiao Wang, Xin Liu, Chongming Zhu, Feiyi Shen:
A Collaborative Learning Based Approach for Parameter Configuration of Cellular Networks. INFOCOM 2019: 1396-1404 - [c76]Liang Bao, Xin Liu, Fangzheng Wang, Baoyin Fang:
ACTGAN: Automatic Configuration Tuning for Software Systems with Generative Adversarial Networks. ASE 2019: 465-476 - [i22]Yuxuan Sun, Xueying Guo, Jinhui Song, Sheng Zhou, Zhiyuan Jiang, Xin Liu, Zhisheng Niu:
Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems. CoRR abs/1901.05205 (2019) - [i21]Xueying Guo, Xiaoxiao Wang, Xin Liu:
AdaLinUCB: Opportunistic Learning for Contextual Bandits. CoRR abs/1902.07802 (2019) - [i20]Shahbaz Rezaei, Xin Liu:
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning. CoRR abs/1904.04334 (2019) - [i19]Shahbaz Rezaei, Xin Liu:
Multitask Learning for Network Traffic Classification. CoRR abs/1906.05248 (2019) - [i18]Shahbaz Rezaei, Bryce Kroencke, Xin Liu:
Large-scale Mobile App Identification Using Deep Learning. CoRR abs/1910.02350 (2019) - [i17]Yongshuai Liu, Jiaxin Ding, Xin Liu:
IPO: Interior-point Policy Optimization under Constraints. CoRR abs/1910.09615 (2019) - [i16]Shahbaz Rezaei, Xin Liu:
Security of Deep Learning Methodologies: Challenges and Opportunities. CoRR abs/1912.03735 (2019) - 2018
- [j40]Xueying Guo, George Trimponias, Xiaoxiao Wang, Zhitang Chen, Yanhui Geng, Xin Liu:
Learning-Based Joint Configuration for Cellular Networks. IEEE Internet Things J. 5(6): 4283-4295 (2018) - [c75]Liang Bao, Xin Liu, Weizhao Chen:
Learning-based Automatic Parameter Tuning for Big Data Analytics Frameworks. IEEE BigData 2018: 181-190 - [c74]Yuxuan Sun, Xueying Guo, Sheng Zhou, Zhiyuan Jiang, Xin Liu, Zhisheng Niu:
Learning-Based Task Offloading for Vehicular Cloud Computing Systems. ICC 2018: 1-7 - [c73]Huasen Wu, Xueying Guo, Xin Liu:
Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits. ICML 2018: 5302-5310 - [c72]Liang Bao, Xin Liu, Ziheng Xu, Baoyin Fang:
AutoConfig: automatic configuration tuning for distributed message systems. ASE 2018: 29-40 - [i15]Yuxuan Sun, Xueying Guo, Sheng Zhou, Zhiyuan Jiang, Xin Liu, Zhisheng Niu:
Learning-Based Task Offloading for Vehicular Cloud Computing Systems. CoRR abs/1804.00785 (2018) - [i14]Liang Bao, Xin Liu, Weizhao Chen:
Learning-based Automatic Parameter Tuning for Big Data Analytics Frameworks. CoRR abs/1808.06008 (2018) - [i13]Shahbaz Rezaei, Xin Liu:
Deep Learning for Encrypted Traffic Classification: An Overview. CoRR abs/1810.07906 (2018) - [i12]Xiaoxiao Wang, Xueying Guo, Jie Chuai, Zhitang Chen, Xin Liu:
Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration. CoRR abs/1811.10902 (2018) - [i11]Shahbaz Rezaei, Xin Liu:
How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets. CoRR abs/1812.09761 (2018) - 2017
- [j39]Yanan Bao, Huasen Wu, Xin Liu:
From Prediction to Action: Improving User Experience With Data-Driven Resource Allocation. IEEE J. Sel. Areas Commun. 35(5): 1062-1075 (2017) - [j38]Dan Xu, Xin Liu, Zhisheng Niu:
Joint Resource Provisioning for Internet Datacenters with Diverse and Dynamic Traffic. IEEE Trans. Cloud Comput. 5(1): 71-84 (2017) - [j37]Shaoquan Zhang, Longbo Huang, Minghua Chen, Xin Liu:
Proactive Serving Decreases User Delay Exponentially: The Light-Tailed Service Time Case. IEEE/ACM Trans. Netw. 25(2): 708-723 (2017) - [c71]Xueying Guo, George Trimponias, Xiaoxiao Wang, Zhitang Chen, Yanhui Geng, Xin Liu:
Cellular network configuration via online learning and joint optimization. IEEE BigData 2017: 1295-1300 - [c70]Xiaohong Hao, Liwen Xu, Nicholas D. Lane, Xin Liu, Thomas Moscibroda:
Density-aware compressive crowdsensing. IPSN 2017: 29-39 - [c69]Yanan Bao, Tianxiao Zhang, Amit Pande, Huasen Wu, Xin Liu:
Motion-Prediction-Based Multicast for 360-Degree Video Transmissions. SECON 2017: 1-9 - [i10]Huasen Wu, Xueying Guo, Xin Liu:
Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits. CoRR abs/1709.04004 (2017) - 2016
- [j36]Yichuan Wang, Xin Liu, Cheng-Hsin Hsu:
UPDATE: User-Profile-Driven Adaptive TransfEr for Mobile Devices. ACM Trans. Embed. Comput. Syst. 15(3): 42:1-42:26 (2016) - [j35]Huasen Wu, Xiaojun Lin, Xin Liu, Youguang Zhang:
Application-Level Scheduling With Probabilistic Deadline Constraints. IEEE/ACM Trans. Netw. 24(3): 1504-1517 (2016) - [j34]Longbo Huang, Shaoquan Zhang, Minghua Chen, Xin Liu:
When Backpressure Meets Predictive Scheduling. IEEE/ACM Trans. Netw. 24(4): 2237-2250 (2016) - [j33]Huasen Wu, Xiaojun Lin, Xin Liu, Kun Tan, Yongguang Zhang:
CoSchd: Coordinated Scheduling With Channel and Load Awareness for Alleviating Cellular Congestion. IEEE/ACM Trans. Netw. 24(5): 2579-2592 (2016) - [c68]Yanan Bao, Huasen Wu, Tianxiao Zhang, Albara Ah Ramli, Xin Liu:
Shooting a moving target: Motion-prediction-based transmission for 360-degree videos. IEEE BigData 2016: 1161-1170 - [c67]Yanan Bao, Huasen Wu, Albara Ah Ramli, Bradley Wang, Xin Liu:
Viewing 360 degree videos: Motion prediction and bandwidth optimization. ICNP 2016: 1-2 - [c66]Yanan Bao, Huasen Wu, Xin Liu:
From Prediction to Action: A Closed-Loop Approach for Data-Guided Network Resource Allocation. KDD 2016: 1425-1434 - [c65]Huasen Wu, Xin Liu:
Double Thompson Sampling for Dueling Bandits. NIPS 2016: 649-657 - [c64]Tianxiao Zhang, Huasen Wu, Xin Liu, Longbo Huang:
Learning-aided scheduling for mobile virtual network operators with QoS constraints. WiOpt 2016: 123-130 - [i9]Huasen Wu, Xin Liu, R. Srikant:
Double Thompson Sampling for Dueling Bandits. CoRR abs/1604.07101 (2016) - 2015
- [j32]