Publication

[2023]

Auditing YouTube’s Recommendation System for Ideologically Congenial, Extreme, and Problematic Recommendations, [pdf], Muhammad Haroona,Magdalena Wojcieszakb, Anshuman Chhabraa, Xin Liu, Prasant Mohapatra, and Zubair Shafiqa, Proceedings of the National Academy of Sciences (PNAS), 2023
On the Discredibility of Membership Inference Attacks [pdf]
Shahbaz Rezaei, Xin Liu, arXiv.
Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective [pdf]
Shahbaz Rezaei, Xin Liu
44th IEEE Symposium on Security and Privacy
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning [pdf]
Yongshuai Liu, Xin Liu, Applied Intelligence.
Farsighter: Efficient Multi-step Exploration for Deep Reinforcement Learning [pdf]
Yongshuai Liu, Xin Liu
The 15th International Conference on Agents and Artificial Intelligence (ICAART 2023). DOI: 10.5220/0011800600003393
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning [PDF]. Yongshuai Liu, Xin Liu.
MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification [pdf]
Rex Liu, Huanle Zhang, Hamed Pirsiavash, Xin Liu, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, doi: 10.1109/WACV56688.2023.00254
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance [pdf]
Xiaoxiao Wang, Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen, Applied Intelligence (2023): 1-19. DOI: https://doi.org/10.1007/s10489-023-04649-7
Quantifying Causal Path-Specific Importance in Structural Causal Model. [PDF]. Xiaoxiao Wang, Minda Zhao, Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen. Computation 11, no. 7 (2023): 133. DOI: https://doi.org/10.3390/computation11070133
Machine Learning to Identify Molecular Markers for Metabolic Disease Development Using Mouse Models [PDF], Yang, Guiyan, Rex Liu, Shahbaz Rezaei, Xin Liu, and Yu-Jui Yvonne Wan. Nutrients 15, no. 15 (2023): 3406. https://doi.org/10.3390/nu15153406
Predicting antimicrobial resistance of bacterial pathogens using time series analysis [PDF], Kim, Jeonghoon, Ruwini Rupasinghe, Avishai Halev, Chao Huang, Shahbaz Rezaei, Maria J. Clavijo, Rebecca C. Robbins, Beatriz Martínez-López, and Xin Liu. Frontiers in Microbiology 14 (2023).
Duopoly Business Competition in Cross-Silo Federated Learning [PDF], Chao Huang, Shuqi Ke, Xin Liu. IEEE Transactions on Network Science and Engineering, early access. DOI: 10.1109/TNSE.2023.3297880
Cross-Silo Federated Learning: Challenges and Opportunities [pdf] Chao Huang, Jianwei Huang, and Xin Liu.
Quantifying the Impact of Label Noise on Federated Learning [pdf]
Shuqi Ke, Chao Huang, and Xin Liu
AAAI Workshop on Representation Learning for Responsible Human-Centric AI (R2HCAI), 2023
On the Impact of Label Noise in Federated Learning, Shuqi Ke, Chao Huang, Xin Liu. WiOPT 2023.
Constrained Reinforcement Learning for Autonomous Farming: Challenges and Opportunities [pdf]
Yongshuai Liu, Taeyeong Choi, Xin Liu
The AAAI-2023 workshop on AI for Agricultural and Food Systems (AIAFS 2023)
DAVIS-Ag: A Synthetic Plant Dataset for Developing Domain-Inspired Active Vision in Agricultural Robots [PDF].Taeyeong Choi, Dario Guevara, Grisha Bandodkar, Zifei Cheng, Chonghan Wang, Brian N Bailey, Mason Earles, Xin Liu.
Constrained Reinforcement Learning for Autonomous Farming: Challenges and Opportunities [PDF], Yongshuai Liu, Taeyeong Choi, Xin Liu. AAAI Workshop on AI for Agriculture and Food Systems (AIAFS2023).
Infection Prediction in Swine Populations with Machine Learning [PDF], Avishai Halev , Beatriz Martınez-Lopez, Maria Clavijo, Carlos Gonzalez-Crespo, Jeonghoon Kim, Chao Huang, Seth Krantz, Rebecca Robbins, and Xin Liu. Scientific Reports. 2023. https://doi.org/10.1038/s41598-023-43472-5
Exploiting Unlabeled Data to Improve Detection of Visual Anomalies in Soft Fruits [pdf]
Taeyeong Choi, Xin Liu
AAAI-2023 Workshop on AI for Agriculture and Food Systems (AIAFS 2023)
Evaluation of the application of sequence data to the identification of outbreaks of disease using anomaly detection methods, [pdf], José Manuel Díaz-Cao, Xin Liu, Jeonghoon Kim, Maria Jose Clavijo and Beatriz Martínez-López, Veterinary Research.

[2022]

User-Level Membership Inference Attack against Metric Embedding Learning [pdf]
Guoyao Li, Shahbaz Rezaei, Xin Liu, arXiv.
An Efficient Subpopulation-based Membership Inference Attack [pdf]
Shahbaz Rezaei, Xin Liu, arXiv.
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective [pdf]
Huanle Zhang, Mi Zhang, Xin Liu, Prasant Mohapatra, Michael DeLucia, arXiv.
Incentivizing Data Contribution in Cross-Silo Federated Learning [pdf]
Chao Huang, Shuqi Ke, Charles Kamhoua, Prasant Mohapatra, and Xin Liu, arXiv.
Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-Supervised Learning [pdf]
Huanle Zhang, Nicharee Wisuthiphaet, Hemiao Cui, Nitin Nitin, Xin Liu, and Qing Zhao
Frontiers in Artificial Intelligence, 2022.
Measuring Objective Visual Quality of Real-Time Communication Systems in the Wild [pdf]
Chih-Fan Hsu, Yu-Lun Chang, Chun-Ying Huang, and Xin Liu
International Journal of Semantic Computing, Vol. 16, No. 02, pp. 257-280, 2022.
Special report: AI Institute for next generation food systems (AIFS) [pdf]
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
Computers and Electronics in Agriculture, Volume 196, 2022.

[2021]

OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space [pdf]
Sungkwon An*, Jeonghoon Kim*, Myungjoo Kang, Shahbaz Razaei, Xin Liu
AAAI Workshop on Towards Robust, Secure and Efficient Machine Learning, 2021.
On the Difficulty of Membership Inference Attacks [pdf]
Shahbaz Rezaei, Xin Liu
International Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning [pdf]
Nader Bouacida, Jiahui Hou, Hui Zang, Xin Liu, arXiv.
IEEE INFOCOM Workshop on Distributed Machine Learning and Fog Networks, 2021.
An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence [pdf]
Rex Liu*, Albara Ah Ramli*, Huanle Zhang, Erik Henricson, Xin Liu
International Conference on Internet of Things (ICIOT), 2021.
Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches [pdf]
Albara Ah Ramli, Huanle Zhang, Jiahui Hou, Rex Liu, Xin Liu, Alina Nicorici, Daniel Aranki, Corey Owens, Poonam Prasad, Craig McDonald, Erik Henricson, arXiv.
Early Mobility Recognition for Intensive Care Unit Patients Using Accelerometers [pdf]
Rex Liu, Sarina A Fazio, Huanle Zhang, Albara Ah Ramli, Xin Liu, Jason Yeates Adams
Artificial Intelligence of Things (AIoT) workshop at KDD, 2021.
Can Online Learning Increase the Reliability of Extreme Mobility Management? [pdf]
Y. Li, E. Datta, J. Ding, N. B. Shroff, X. Liu
IEEE/ACM International Symposium on Quality of Service, 2021.
Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey [pdf]
Yongshuai Liu, Avishai Halev, Xin Liu
The 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021
Resource Allocation Method for Network Slicing Using Constrained Reinforcement Learning [pdf]
Yongshuai Liu, Jiaixin Ding, Xin Liu
The 20th International Federation for Information Processing (IFIP) Networking, Poster, 2021
Applications of Machine Learning for the Classification of Porcine Reproductive and Respiratory Syndrome Virus Sublineages Using Amino Acid Scores of ORF5 Gene [pdf]
Jeonghoon Kim, Kyuyoung Lee, Ruwini Rupasinghe, Shahbaz Rezaei, Beatriz Martínez-López, Xin Liu
Frontiers in Veterinary Science, 8:813, 2021.
Measuring Objective Visual Quality of Real-time Communication Systems in the Wild [pdf]
Chih-Fan Hsu, Chun-Ying Huang, Xin Liu
The IEEE International Conference on Multimedia Big Data (BigMM), 2021
CTS2: Time Series Smoothing with Constrained Reinforcement Learning [pdf]
Yongshuai Liu, Xin Liu
The 13th Asian Conference on Machine Learning (ACML), 2021
CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing [pdf]
Yongshuai Liu, Jiaxin Ding, Zhi-Li Zhang, Xin Liu
IEEE International Conference on Big Data (IEEE BigData), 2021

[2020]

IPO: Interior-point Policy Optimization under Constraints [pdf]
Yongshuai Liu, Jiaxin Ding, Xin Liu
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning [pdf]
Shahbaz Rezaei, Xin Liu
The International Conference on Learning Representations (ICLR), 2020.
Multitask Learning for Network Traffic Classification [pdf]
Shahbaz Rezaei, Xin Liu
International Conference on Computer Communication Networks (ICCCN), 2020.
An Opportunistic Bandit Approach for User Interface Experimentation [pdf]
Nader Bouacida, Amit Pande, Xin Liu
SIAM SDM Data science for Retail and Ecommerce (DSRE) workshop, 2020.
BWCNN: Blink to Word, a Real-Time Convolutional Neural Network Approach [pdf]
Albara Ah Ramli, Rex Liu, Rahul Krishnamoorthy, Vishal I B, Xiaoxiao Wang, Ilias Tagkopoulos, Xin Liu
International Conference on Internet of Things (ICIOT), 2020.
Bandit Policies for Reliable Cellular Network Handovers in Extreme Mobility [pdf]
Yuanjie Li, Esha Datta, Jiaxin Ding, Ness Shroff, Xin Liu, arXiv.
Towards the Infeasibility of Membership Inference on Deep Models [pdf]
Shahbaz Rezaei, Xin Liu, arXiv.
An Automated System for Early Diagnosis, Severity and Progression Identification in Duchenne Muscular Dystrophy: A Machine Learning and Deep Learning Approach [pdf]
Albara Ah Ramli, Alina Nicorici, Poonam Prasad, Jaihui Hou, Craig Mcdonald, Xin Liu, and Erik Henricson, (abstract)
7th Annual UC Davis Health Human Genomics Symposium, 2020
A Constrained Reinforcement Learning Based Approach for Network Slicing [pdf]
Yongshuai Liu, Jiaixin Ding, and Xin Liu
The 28th International Conference on Network Protocols (ICNP) Workshop, 2020

[2019]

AdaLinUCB: Opportunistic Learning for Contextual Bandits [pdf]
Xueying Guo, Xiaoxiao Wang, and Xin Liu
the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019.
Kernel-based Multi- Task Contextual Bandits in Cellular Network Configuration [pdf]
XiaoxiaoWang, Xueying Guo, Jie Chuai, Zhitang Chen, and Xin Liu
IEEE BigData Conference, 2019.
ACTGAN: Automatic Configuration Tuning for Software Systems with Generative Adversarial Networks [pdf]
Liang Bao, Xin LIu, Fangzheng Wang, Baoyin Fang
The 34th IEEE/ACM Automated Software Engineering (ASE) Conference, 2019.
A novel way to predict PRRS outbreaks in the swine industry using multiple spatiotemporal features and machine learning approaches [link]
M Shamsabardeh, Shabaz Rezaei, Jose Pablo Gomez, Beatriz Martnez-Lpez and Xin Liu
GeoVet, 2019.
Adaptive Learning- Based Task Offloading for Vehicular Edge Computing Systems [pdf]
Y. Sun, X. Guo, J. Song, S. Zhou, Z. Jiang, X. Liu, and Z. Liu, arXiv.
Large-scale Mobile App Identification Using Deep Learning [pdf]
Shahbaz Rezaei, Bryce Kroencke, Xin Liu
IEEE Access, 2019.
A Collaborative Learning Based Approach for Parameter Configuration of Cellular Networks [pdf]
Jie Chuai, Zhitang Chen, Guochen Liu, Xueying Guo, Xiaoxiao Wang, Xin Liu, Chongming Zhu, Feiyi Shen.
Infocom 2019.
How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets [pdf]
Shahbaz Rezaei and Xin Liu.
19th Industrial Conference on Data Mining (ICDM), 2019.
Deep Learning for Encrypted Traffic Classification: An Overview [pdf]
Shahbaz Rezaei, Xin Liu.
IEEE Communications Magazine, 2019.

[2018]

Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits [pdf]
Huasen Wu, Xueying Guo, and Xin Liu.
ICML 2018.
Learning-Based Joint Configuration for Cellular Networks [link]
Xueying Guo, George Trimponias, Xiaoxiao Wang, Zhitang Chen, Yanhui Geng, Xin Liu
IEEE Internet of Things Journal, vol. 5, No. 6, 2018.
AutoConfig: Automatic Configuration Tuning for Distributed Message Systems [pdf]
Liang Bao, Xin LIu, Zheng Xu, Baoyin Fang.
The 33rd IEEE/ACM International Conference on Automated Software Engineering.
Learning-Based Task Offloading for Vehicular Cloud Computing Systems [pdf]
Yuxuan Sun, Xueying Guo, Sheng Zhou, Zhiyuang Jiang, Xin Liu, and Zhisheng Niu.
ICC 2018.
Learning-based Automatic Parameter Tuning for Big Data Analytics Frameworks [pdf]
Liang Bao, Xin Liu, Weizhao Chen.
IEEE Big Data Conference, 2018.

[2017]

Cellular Network Configuration via Online Learning and Joint Optimization [pdf]
Xueying Guo, George Trimponias, Xiaoxiao Wang, Zhitang Chen, Yanhui Geng, and Xin Liu.
IEEE Big Data Conference, short paper, 2017.
Density-Aware Compressive CrowdSensing [pdf]
Xiaohong Hao, Liwen Xu, Nic Lane, Xin Liu, and Thomas Moscibroda.
The 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2017). Best paper award.
From Prediction to Action: Improving User Experience With Data-Driven Resource Allocation [pdf]
Yanan Bao, Huasen Wu, and Xin Liu.
IEEE Journal on Selected Areas in Com- munications, Volume: 35, Issue: 5, May 2017.
Motion-Prediction-Based Multicast for 360-Degree Video Transmissions [pdf]
Yanan Bao, Tianxiao Zhang, Amit Pande, Huasen Wu, and Xin Liu.
4th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 2017.

[2016]

Double Thompson Sampling for Dueling Bandits [paper]
Huasen Wu and Xin Liu.
Annual Conference on Neural Information System Processing (NIPS), Bacelona, Spain, Dec. 2016
Shooting a Moving Target: Motion-Prediction-Based Transmission for 360-Degree Videos [pdf]
Yanan Bao, Huasen Wu, Tianxiao Zhang, Albara Ah Ramli and Xin Liu.
IEEE International Conferences on Big Data (IEEE BigData 2016), Washington D.C., Dec. 2016.
Viewing 360 Degree Videos: Motion Prediction and Bandwidth Optimization [paper]
Yanan Bao, Huasen Wu, Albara Ah Ramli, Bradley Wang, and Xin Liu.
24th IEEE International Conference on Network Protocols (ICNP 2016), poster.
From Prediction to Action: A Closed-Loop Approach for Data-Guided Network Resource Allocation [paper]
Yanan Bao, Huasen Wu, and Xin Liu.
The 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016.
Proactive Serving Decreases User Delay Exponentially: The Light-tailed Service Time Case
Shaoquan Zhang, Longbo Huang, Minghua Chen, and Xin Liu.
IEEE/ACM Transactions on Networking, accepted.
Application-Level Scheduling with Probabilistic Deadline Constraints [pdf]
Huasen Wu, Xiaojun Lin, Xin Liu and Youguang Zhang.
IEEE/ACM Transactions on Networking, Volume: 24, Issue: 3, DOI: 10.1109/TNET.2015.2416256 2016.
Learning-Aided Scheduling for Mobile Virtual Network Operators with QoS Constraints [paper]
Tianxiao Zhang, Huasen Wu, Xin Liu, and Longbo Huang.
The 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOPT) 2016.
UPDATE: User-Profile-Driven Adaptive TransfEr for Mobile Devices [paper]
Yichuan Wand, Xin Liu, and Cheng-Hsin Hsu.
ACM Transactions on Embedded Computing Systems (TECS), 2016.

[2015]

Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits [paper]
Huasen Wu, R. Srikant, Xin Liu, Chong Jiang.
The Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS), poster presentation, Nov. 2015.
Data-Guided Approach for Learning and Improving User Experience in Computer Networks [pdf]
Yanan Bao, Xin Liu, and Amit Pande.
The 7th Asian Conference on Machine Learning (ACML), Oct. 2015.
CoSchd: Coordi- nated Scheduling with Channel- and Load-Awareness for Alleviating Cellular Congestion [pdf]
Huasen Wu, Xiaojun Lin, Xin Liu, Kun Tan, and Yongguang Zhang
IEEE/ACM Transactions on Networking, DOI: 10.1109/TNET.2015.2470076, 2015.
EarlyBird: Learning-based Mobile Prefetching through Content Preference and Usage Pattern [pdf]
Yichuan Wang, Xin Liu, David Chu, and Yunxin Liu.
ACM Mobihoc, June 2015.
Cost-aware compressive sensing for networked sensing systems. [pdf]
Liwen Xu, Xiaohong Hao, Nicholas D Lane, Xin Liu, and Thomas Moscibroda.
In Proceedings of the 14th International Conference on Information Processing in Sensor Networks (IPSN), pages 130Â–141. ACM, 2015.
More with less: Lowering user burden in mobile crowdsourcing through compressive sensing. [pdf]
Liwen Xu, Xiaohong Hao, Nicholas D Lane, Xin Liu, and Thomas Moscibroda.
In Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), ACM, 2015.
Proactive Serving Decreases User Delay Exponentially [pdf]
S. Zhang, L. Huang, M. Chen, and X. Liu.
Proceedings of ACM MAMA (MAMA), June 2015 (in conjunction with ACM Sigmetrics).
Traffic Aware Resource Provisioning for Distributed Clouds [pdf]
Dan Xu, Xin Liu and Athanasios V. Vasilakos.
IEEE Cloud Computing, vol.2, no.1, pp.30-39, Jan.-Feb. 2015.
Joint Resource Provisioning for Internet Datacenters with Diverse and Dynamic Traffic [pdf]
Dan Xu, Xin Liu and Zhisheng Niu.
IEEE Transactions on Cloud Computing, DOI: 10.1109/TCC.2014.2382118.
Throughput-Fairness Optimization in Energy-limited User-Relay Wireless Networks [pdf]
Dan Xu, and Xin Liu.
ACM/Springer Wireless Networks, Volume 21, Issue 3 (2015), Page 1047-1060.
Efficient Server Provisioning and Offloading Policies for Internet Datacenters in Dynamic Traffic Environments [pdf]
Dan Xu, Xin Liu and Bin Fan.
in IEEE Transactions on Computers, vol. 64, no. 3, pp. 682-697, Mar. 2015.

[2014]

The Power of Online Learning in Stochastic Network Optimization [pdf]
L. Huang, X. Liu, and X. Hao
Proceedings of ACM Sigmetrics (full paper), June 2014.
When Backpressure meets Predictive Scheduling [pdf]
L. Huang, S. Zhang, M. Chen, and X. Liu
Proceedings of 15th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), August 2014.
Proactive Serving Reduces User Delay Exponentially
S. Zhang, L. Huang, M. Chen, and X. Liu,
Proceedings of ACM Sigmetrics (poster paper), June 2014.
Application-Level Scheduling with Deadline Constraints, [pdf]
H. Wu, X. Lin, and X. Liu
IEEE Infocom, 2014.
When Queueing Meets Coding: Optimal-Latency Data Retrieving Scheme in Storage Clouds, [pdf]
Y. Sun, S. Chen, U. Kozat, L. Huang, P. Sinha, G. Liang, X. Liu, and N. Shroff
IEEE Infocom, 2014.
Solar Radiation Prediction and Energy Allocation for Energy Harvesting Base Stations,
Y. Bao, X. Wang, X. Liu, S. Zhou, and Z. Niu
IEEE ICC, 2014.
Learning-aided control for stochastic queueing systems, [pdf]
L. Huang and X. Liu
ITA, 2014 (invited).
Decomposition of Large Scale MDPs for Wireless Scheduling with Load- and Channel-Awareness, [pdf]
H. Wu, X. Lin, X. Liu, K. Tan, and Y. Zhang
ITA, 2014 (invited).

[2013]

An End-To-End Testbed For Scalable Video Streaming To Mobile Devices Over HTTP [pdf]
Yu-Sian Li, Chien-Chang Chen, Ting-An Lin, Cheng-Hsin Hsu, Yichuan Wang, and Xin Liu
The 2013 IEEE International Conference on Multimedia and Expo (ICME 2013), San Jose, California, July 15-19, 2013.
Distributed Control of Multiple Cognitive Radio Overlay for Primary Queue Stability [pdf]
Fabio E. Lapiccirella, Xin Liu, and Zhi Ding
IEEE Transactions on Wireless Communications, Vol. 12, No. 1, Jan. 2013.
FASA: Accelerated S-ALOHA Using Access History for Event-driven M2M Communications [pdf]
Huasen Wu, Chenxi Zhu, Richard La, Xin Liu, and Youguang Zhang
IEEE/ACM Transactions on Networking, Vol. 21, no. 6, Dec. 2013.
Region- and action-aware virtual world clients [pdf]
Y. Wang, T. Lin, C. Hsu, and X. Liu
ACM Transactions on Multimedia Computing, Communications, and Applications, Volume 9 Issue 1, February 2013.
Inference-Driven Dynamic Access Scheme for Interference Management in Heterogeneous Networks [pdf]
Ahmed R. Elsherif, Zhi Ding, Xin Liu, Jyri Hamalainen, and Risto Wichman
CROWNCom, 2013.
Decentralized Bargain: A Two-Tier Market for Efficient and Flexible Dynamic Spectrum Access [pdf]
Dan Xu, Xin Liu, and Zhu Han
IEEE Transactions on Mobile Computing, VOL. 12, NO. 9, 2013.
Laxity-based opportunistic scheduling with flow-level dynamics and deadlines [pdf]
Huasen Wu, Xin Liu, and Youguang Zhang
IEEE WCNC 2013, Apr. 2013.

[2012]

SmartTransfer: Transferring Your Mobile Multimedia Contents at the "Right" Time [pdf]
Yichuan Wang, Xin Liu, Angela Nicoara, Ting-An Lin, and Cheng-Hsin Hsu
The 22nd ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV), Toronto, Canada, June 7 Â— 8, 2012 .
Spectrum Mobility Games, [pdf]
Richard Southwell, Jianwei Huang, and Xin Liu.
IEEE Infocom, 2012.
Opportunistic Spectrum Access in Multiple Primary User Environments Under the Packet Collision Constraint [pdf]
Eric Jung and Xin Liu
IEEE/ACM Transactions on Networking, Vol. 20, No. 2, April, 2012.
Network-Congestion-Aware Video Streaming: A Rest-and-Download Approach [pdf]
Eric Jung, Dhruv Gupta, Nicholas Mastronarde, and Xin Liu
9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 18-21 June, 2012, Seoul, Korea.
Fast adaptive SALOHA scheme for event-driven machine-to-machine communications [pdf]
Huasen Wu, Chenxi Zhu, Richard La, Xin Liu, and Youguang Zhang
IEEE VTC 2012 Fall,Sept. 2012.
Efficient and Fair Bandwidth Allocation in Multi-Channel Cognitive Radio Networks [pdf]
Dan Xu, Eric Jung, and Xin Liu
IEEE Transactions on Mobile Computing, vol. 11, no. 8, pp. 1372-1385, August, 2012.
Geographic Trough Filling for Internet Datacenters [pdf]
Dan Xu and Xin Liu
in the Proceedings of the 31st Annual IEEE International Conference on Computer Communications (INFOCOM Mini-Conference), March 25-30, 2012, Orlando, Florida, USA.
Extracting Typical Users' Moving Patterns Using Deep Learning [pdf]
Nam Tuan Nguyen, Yichuan Wang, Husheng Li, Xin Liu and Zhu Han
IEEE Globe Communication Conference, Anaheim, CA, December 2012.
Nonparametric Bayesian Approach for Opportunistic Data Transfer in Cellular Networks [pdf]
Nam Tuan Nguyen, Yichuan Wang, Xin Liu, Rong Zheng, and Zhu Han
invited, The 7th International Conference on Wireless Algorithms, Systems, and Applications, Yellow Mountains, China, August 2012.
Adaptive Precoding for Femtocell Interference Mitigation [pdf]
Ahmed R. Elsherif, Ahmed Ahmedin, Zhi Ding, and Xin Liu
IEEE ICC, 2012.
Shadow Chasing Enhancement in Resource Allocation For Heterogeneous Networks [pdf]
Ahmed R. Elsherif, Zhi Ding, Xin Liu, and Jyri Hamalainen
IEEE Globe Communication Conference, 2012.
Shadow Chasing : A Resource Allocation Scheme For Heterogeneous Networks
Ahmed Ragab Elsherif, Zhi Ding, Xin Liu, Jyri HÃ¤mÃ¤lÃ¤inen, Risto Wichman
invited, CROWNCOM, 2012.

[2011]

Traffic-Tracing Gateway (TTG) [pdf]
Haiping Liu, Xiaoling Qiu, Dipak Ghosal, Chen-Nee Chuah, Xin Liu, and Yueyue Fan
IEEE Infocom 2011.
Toward Region- and Action-Aware Second Life Clients: A Parameterized Second Life Traffic Model [pdf]
Yichuan Wang, Cheng-Hsin Hsu, Jatinder Pal Singh, and Xin Liu
IEEE International Conference on Multimedia & Expo, Barcelona, Spain, July. 11-15, 2011.
Network Traces of Virtual Worlds: Measurements and Applications [pdf]
Y. Wang, C. Hsu, J. Singh, and X. Liu
ACM Multimedia Systems (MMSys11), San Jose, CA, February 2011.
Minimizing Energy Cost for Internet-Scale Datacenters with Dynamic Traffic [pdf]
Dan Xu, Xin Liu, and Bin Fan
IWQoS 2011, poster.
Delay Performance of Threshold Policies for Dynamic Spectrum Access [pdf]
Rong-Rong Chen, and Xin Liu
IEEE Transactions on Wireless Communications, Vol. 10, No. 7.
Towards Dynamic Energy-Efficient Operation of Cellular Network Infrastructure [pdf]
Eunsung Oh, Bhaskar Krishnamachari, Xin Liu, and Zhisheng Niu
IEEE communications magazine, Vol. 49, No. 6.
Integration Gain of Heterogeneous WiFi/WiMAX networks [pdf]
Wei Wang and Xin Liu and John Vicente and Prasant Mohapatra
IEEE Transactions on Mobile Computing, vol. 10, no. 8, p. 1131-1143, 2011.
Improved Spectrum Access Control of Cognitive Radios based on Primary ARQ Signals [pdf]
Fabio Lapiccirella and Z. Ding and X. Liu
IET Communications, 2011.

[2010]

Markov Decision Process (MDP) Framework for Software Power Optimization using Call Profiles on Mobile Phones [pdf]
Eric Jung, Frank Maker, Tang Lung Cheung, Xin Liu, and Venkatesh Akella.
This is a more general version of EMSOFT 2009 paper with multiple applications and heuristic policies, invited for fast track submission to Design Automation for Embedded Systems.
User-Profile-Driven Collaborative Bandwidth Sharing on Mobile Phones [pdf]
Eric Jung, Yichuan Wang, Iuri Prilepov, Frank Maker, Xin Liu, and Venkatesh Akella
ACM MobileCloud 2010, in conjunction with ACM Mobisys, June 15-18th, 2010, San Francisco, CA, USA.
A Two-Tier Market for Decentralized Dynamic Spectrum Access in Cognitive Radio Networks [pdf]
Dan Xu, Xin Liu, and Zhu Han
IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON), Boston, MA, June 21-25, 2010.
Decentralized Cognitive Radio Control based on Inference from Primary Link Control Information [pdf]
Senhua Huang, Xin Liu, and Zhi Ding.
JSAC special issue on Cognitive Radio: Theory and Applications.
A more general version of Infocom 2010 paper with convergence proof.
Distributed Power Control for Cognitive User Access based on Primary Link Control Feedback [pdf]
Senhua Huang, Xin Liu, and Zhi Ding.
Infocom 2010.
Co-existing with CSMA-based Reactive Primary Users [pdf]
Rong-rong Chen and Xin Liu.
IEEE Symposia on New Frontiers in Dynamic Spectrum Access Networks (DySPAN) 2010.
Channel Selection in Multi-channel Cognitive Radio Networks with Perfect Sensing [pdf]
Xin Liu, Bhaskar Krishnamachari, and Hua Liu.
IEEE Symposia on New Frontiers in Dynamic Spectrum Access Networks (DySPAN) 2010.
TODA: Truthful Online Double Auction for Spectrum Allocation in Wireless Networks [pdf]
ShiGuang Wang, Ping Xu, XiaoHua Xu, Shao-Jie Tang, Xiang-Yang Li, and Xin Liu.
IEEE Symposia on New Frontiers in Dynamic Spectrum Access Networks (DySPAN) 2010.
Cognitive Spectrum Access Control Based on Intrinsic Primary ARQ Information [pdf]
Fabio E. Lapiccirella, Zhi Ding, and Xin Liu.
ICC 2010.
Distributed secondary spectrum access based on primary user feedback [abstract]
Fabio E. Lapiccirella, Zhi Ding and Xin Liu
Information Theory and Application Workshop, UCSD, Feb., 2010.

[2009]

Feedback-based access and power control for distributed multiuser cognitive networks. [pdf]
Fabio E. Lapiccirella, Senhua Huang, Xin Liu, and Zhi Ding.
Information Theory and Applications Workshop, 2009.
Optimal Sensing-Transmission Structure for Dynamic Spectrum Access. [pdf]
Senhua Huang, Xin Liu, and Zhi Ding.
IEEE Infocom 2009.
Markov Decision Process (MDP) Framework for Optimizing Software on Mobile Phones [pdf]
Tang Lung Cheung, Kari Okamoto, Frank Maker, Xin Liu, and Venkatesh Akella, the International Conference on Embedded Software, Oct. 12-16, Grenoble, France. (33/106). Candidate for Best Paper Award.
Robust Routing and Scheduling in Wireless Mesh Networks Under Dynamic Traffic Conditions [pdf]
Wei Wang, Xin Liu, Dilip Krishnaswamy
IEEE Transactions on Mobile Computing, vol. 8, No. 12, Dec. 2009.
Optimization of Transmission Strategies for Opportunistic Access in Cognitive Radio Networks. [pdf]
Senhua Huang, Xin Liu, and Zhi Ding.
A more general version of our Infocom 2008 paper. IEEE Transactions on Mobile Computing, vol. 8, No. 12, Dec. 2009.

[2008]

Opportunistic Spectrum Access in Cognitive Radio Networks: When to Turn off the Spectrum Sensors [pdf]
Dan Xu, and Xin Liu
The Fourth International Wireless Internet Conference (WiCON), 2008 (invited).
Optimal Bandwidth Selection in Multi-Channel Cognitive Radio Networks: How Much is Too Much? [pdf]
Dan Xu, Eric Jung, and Xin Liu.
IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN) 2008, Chicago, IL.
Opportunistic Spectrum Access in Heterogeneous User Environments. [pdf] A more general version is [here]
Eric Jung and Xin Liu.
IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN) 2008, Chicago, IL.
Short Paper: On Optimal Sensing and Transmission Strategies for Dynamic Spectrum Access [pdf]
Senhua Huang, Xin Liu, and Zhi Ding.
Short Paper and Poster Presentation, IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN) 2008, Chicago, IL.
Heterogeneous Wireless Access in Large Mesh Networks [pdf]
Haiping Liu, Xin Liu, Chen-nee Chuah, and Prasant Mohapatra.
Fifth IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), Atlanta, GA, Sept. 29-Oct. 2, 2008.
Opportunistic spectrum access in cognitive radio networks [pdf]
S. Huang, X. Liu, and Z. Ding
IEEE INFOCOM 2008 , Phoenix, Arizona.
A more general version is at here.
Exploiting Opportunistic Scheduling in Cellular Data Networks [pdf]
Radmilo Racic, Denys Ma, Hao Chen, and Xin Liu.
Proceedings of the 15th Annual Network and Distributed System Security Symposium (NDSS 2008), San Diego, CA, February 10-13, 2008.
Per User Throughput in Large Wireless Networks [pdf]
D. Xu and X. Liu.
IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON), San Francisco, CA, June 16-20, 2008.
Asymptotic uniform data-rate guarantees in large wireless networks [pdf]
X. Liu and R. Skrikant.
Ad Hoc Networks, Vol. 6, no. 3., pp. 325-343, May 2008. (Journal version of IEEE SECON 2004 paper)
Channel Assignment and Link Scheduling in Multi-radio Multi-channel Wireless Mesh Networks
H. Yu, P. Mohapatra, and Xin Liu.
Mobile Networks and Applications, Springer, April, 2008.

[2007]

Non-Intrusive Cognitive Radio Networks based on Smart Antenna Technology . [pdf]
S. Huang, Z. Ding, X. Liu.
IEEE Globecom, Washington, DC, Nov. 26-30, 2007.
The multicast capacity of ad hoc networks. [pdf]
Srinivas Shakkottai, X. Liu and R. Srikant.
ACM Mobihoc, 2007.
ESCAPE: A Channel Evacuation Protocol for Spectrum-Agile Networks. [pdf]
Xin Liu and Zhi Ding.
IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), Dublin, Ireland, Apr. 17- 20, 2007.
Characterization of Spectrum Activities in the U.S. Public Safety Band for Opportunistic Spectrum Access [pdf]
Steven D. Jones, Eric Jung, Xin Liu, Naim Merheb, and I-Jeng Wang.
IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), Dublin, Ireland, Apr. 17-20, 2007.
Dynamic Channel Assignment and Link Scheduling in Multi-Radio Multi-Channel Wireless Mesh Networks. [pdf]
Hua Yu, P. Mohapatra, and Xin Liu.
The 4th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, (ACM Mobiquitous 2007), August 6-10, 2007 - Philadelphia, PA.
Robust Routing and Scheduling in Wireless Mesh Networks. [pdf]
W. Wang, X. Liu, and D. Krishnaswamy.
IEEE SECON 2007, San Diego, CA, 2007.
Energy Efficient Throughput optimization in multi-hop wireless networks. [pdf]
Dan Xu and Xin Liu.
IFIP Networking 2007, Atlanta, GA, May 14-18, 2007.
Scheduling Multiple Partially Overlapped Channels in Wireless Mesh Network. [pdf]
H. Liu, H. Yu, X. Liu, C. Chuah, and P. Mohapatra.
IEEE ICC, Glasgow, June 24-28, 2007.
Priority Collision Resolution Distributed Coordination Function for Wireless Network. [pdf]
X. Ye, X. Liu. Z. Ding, and S. J. B. Yoo.
IEEE Globecom, Washington, DC, Nov. 26-30, 2007.
Combs, Needles, Haystacks: Balancing Push and Pull for Discovery in Large-Scale Sensor Networks [pdf]
X. Liu, Qingfeng Huang, and Ying Zhang.
IEEE Transactions on Mobile Computer, vol. 6, no. 3, March 2007. Earlier version published at ACM Sensys 2004.
On the Deployment of Wireless Data-back-haul networks [pdf]
X. Liu and P. Mohapatra.
IEEE Transactions on Wireless Networks, vol. 5, no. 4, April 2007. (Earlier version appeared at SenMetrics workshop.
Delay Sensitive Scheduling Schemes with Short-Term Fairness for Heterogeneous QoS over Wireless Network. [pdf]
Zhu Han, Xin Liu, Z.Jane Wang, and K. J. Ray Liu.
IEEE Transactions on Wireless Communication, vol.6, no.2, p.p. 423-428 February, 2007.

[2006]

Sensing-based opportunistic channel access. [pdf]
X. Liu and S. Shankar.
ACM Journal on Mobile Networks and Applications (MONET), Volume 11, Number 1, February 2006, p. 577-591.
A Framework for Maximum Capacity in Multi-channel Multi-radio Wireless Networks. [pdf]
Wei Wang and Xin Liu.
IEEE Consumer Communications and Networking Conference, Las Vegas, NV, Jan, 2006, (invited).
Coverage with Connectivity in wireless sensor networks.
X. Liu.
Third IEEE/CreateNet International Workshop on Broadband Advanced Sensor Networks (Basenet 2006) , in conjunction with BroadNets, San Jose, CA, Oct. 1, 2006, (invited).

[2005]

On the Characteristics of Spectrum-Agile Communication Networks [pdf]
X. Liu and W. Wang.
IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), Baltimore, MD, Nov. 8-11, 2005.
Exploring Opportunistic Spectrum Availability in Wireless Communication Networks [pdf]
W. Wang, X. Liu, and Hong Xiao.
IEEE VTC Fall 2005, Dallas, TX, September 25-28, 2005.
On the deployment of wireless sensor networks [pdf]
X. Liu and P. Mohapatra.
the Third International Workshop on Measurement, Modeling, and Performance Analysis of Wireless Sensor Networks (SenMetrics), in conjunction with the Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, (MobiQuitous), San Diago, CA, July 17-21, 2005.
Determining the Peer Contributions in a P2P Contract
B. Korashadi, X. Liu, and D. Ghosal.
Hot-P2P, in conjunction with the Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, (MobiQuitous), San Diago, CA, July 17-21, 2005.

[2004]

Combs, Needles, Haystacks: Balancing Push and Pull for Discovery in Large-Scale Sensor Networks [pdf] [ppt] [abs] [bib]
X. Liu, Qingfeng Huang, and Ying Zhang.
ACM Sensys 2004, November 3-5, 2004, Baltimore, MD.
An Information-Theoretic View of Connectivity in Wireless Sensor Networks [pdf] [ppt] [abs] [bib]
X. Liu and R. Srikant.
the first IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON), Santa Clara, CA, Oct. 4-7, 2004.
Energy-aware Node Placement in Wireless Sensor Networks [pdf]
Peng Cheng, Chen-Nee Chuah, and Xin Liu.
IEEE Globecom, Dallas, TX, Nov. 29-Dec. 3, 2004.
The Timing Capacity of Single-server Queues with Multiple Flows [pdf]
X. Liu and R. Srikant.
DIMACS Series in Discrete Mathematics and Theoretical Computer Science, P. Gupta, G. Kramer and A. van Wijngaarden (Eds.), 2004.

[2003 and before]

Increasing timing capacity using packet coloring [pdf]
X. Liu and R. Srikant.
Proceeding of the 37th annual conference on Information Sciences and Systems, Baltimore, Maryland, March, 2003.
Optimal Opportunistic Scheduling in Wireless Networks [pdf]
X. Liu, E. Chong, and N. Shroff.
in Proceedings of VTC Fall 2003 (invited).
A Framework for Opportunistic Scheduling in Wireless Networks [pdf]
X. Liu, E. Chong, and N. Shroff.
Computer Networks Journal (Elsevier), vol. 41, no. 4, p. 451-474, 2003. Best paper award in 2003.
Opportunistic Transmission Scheduling with Resource-Sharing Constraints in Wireless Networks [pdf]
X. Liu, E. Chong, and N. Shroff.
IEEE Journal on Selected Areas in Communications, vol. 19, no. 10, pp. 2053-2064, October, 2001.
Optimal Transmission Scheduling [pdf]
E. Chong, X. Liu, and N. Shroff.
presented at the 17th IEEE Annual Computer Communications Workshop (CCW 2002), Santa Fe, New Mexico, October 13-16, 2002 (Invited paper).
Joint Scheduling and Power-Allocation for Interference Management in Wireless Networks [pdf]
X. Liu, E. Chong, and N. Shroff.
Proceedings of the VTC Fall 2002, 2002.
Transmission Scheduling for Efficient Wireless Resource Utilization with Minimum-Utility Guarantees [pdf]
X. Liu, E. Chong, and N. Shroff.
Proceedings of the IEEE VTC Fall 2001, Atlantic City, October, 2001.
Transmission Scheduling for Efficient Wireless Utilization [pdf]
X. Liu, E. Chong, and N. Shroff.
Proceedings of the 2001 IEEE INFOCOM, Alaska, April 2001, pp. 776-785.
Efficient Network Utilization for Multimedia Wireless Networks [pdf]
X. Liu, E. Chong, and N. Shroff.
IFIP-TC6/European Commission NETWORKING 2000 International Workshop, MWCN 2000 Paris, France, pp. 108-123.
A Novel Scheme to Provide QoS in Packet-switched Wireless Networks
X. Liu, E. Chong, and N. Shroff.
Technical Report, Purdue University.
Opportunistic Scheduling in Wireless Communication Networks [pdf]
Xin Liu.
Ph.D. Thesis, Purdue University, 2002.