Complete Publication List

Recent Publications

[SOSP 2026] Soheil Shirvani and Cong Liu, Linux AGX: An Adaptive GPU eXtension to Linux Fair Scheduling for Physical AI and Robotic Systems.
[RTSS 2026] Yifan Chen and Cong Liu, DARTS^rt: A Real-Time MARL Framework with Bounded Auction Latency and Schedulability. [Outstanding Paper Award]
[RTSS 2026] Zexin Li, Dongjoo Seo, Nikil Dutt, Jun Sheng, and Cong Liu, Real-Time Continual Learning on Embedded GPUs.
[RTSS 2026] Ziliang Zhang, Hyoseung Kim, and Cong Liu, RELAXR: Real-time Execution Framework for Latency-aware AI-native Extended Reality.
[SIGMETRICS 2026] Ziliang Zhang, Cong Liu, and Hyoseung Kim, MATER: Mutually Aware Framework for Teleoperated-robot with Extended Reality.
[TMLR 2026] Zexin Li*, Jiancheng Zhang*, Yufei Li, Yinglun Zhu, and Cong Liu, Mixtraining: A Better Trade-Off Between Compute and Performance.
[AAAI 2026] Saptarshi Nath, Christos Peridis, Eseoghene Benjamin, Xinran Liu, Soheil Kolouri, Peter Kinnell, Zexin Li, Cong Liu, Shirin Dora, and Andrea Soltoggio, Collaborative Learning in Agentic Systems: A Collective AI is Greater Than the Sum of Its Parts.
[RTSS 2025] Yufei Li, Zexin Li, Yinglun Zhu, and Cong Liu, LeMix: Unified Scheduling for LLM Training and Inference on Multi-GPU Systems. [Outstanding Paper Award]
[ICSE 2025] Jaeseong Lee, Simin Chen, Austin Mordahl, Cong Liu, Wei Yang, and Shiyi Wei, Automated Testing Linguistic Capabilities of NLP Models. [Journal-first Track]
[RTSS 2024] Ziliang Zhang, Zexin Li, Hyoseung Kim, and Cong Liu, BOXR: Body and Head Motion Optimization Framework for Extended Reality.
[RTSS 2024] Soheil Shirvani, Aritra Samanta, Zexin Li, and Cong Liu, DuoJoule: Accurate On-Device Deep Reinforcement Learning for Energy and Timeliness.
[IEEE SPL 2024] Xiaoxue Gao, Zexin Li, Yiming Chen, Cong Liu, and Haizhou Li, Transferable Adversarial Attacks against ASR.
[FSE 2024] Simin Chen, Zexin Li, Wei Yang, and Cong Liu, DeciX: Explain Deep Learning Based Code Generation Applications.
[FSE 2024] Simin Chen, Xiaoning Feng, Xiaohong Han, Cong Liu, and Wei Yang, PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models.
[ECRTS 2024] Yidi Wang, Cong Liu, Daniel Wong, Hyoseung Kim, GCAPS: GPU Context-Aware Preemptive Priority-based Scheduling for Real-Time Tasks.
[ACL 2024] Yufei Li, Xiao Yu, Yanghong Guo, Yanchi Liu, Haifeng Chen, and Cong Liu, Distantly-Supervised Joint Extraction with Noise-Robust Learning.
[ACL 2024] Yu Fu, Yufei Li, Wen Xiao, Cong Liu, and Yue Dong, Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack.
[OOPSLA 2024] Jin Zhou, Sam Silvestro, Steven Tang, Hanmei Yang, Hongyu Liu, Guangming Zeng, Bo Wu, Cong Liu, and Tongping Liu, MemPerf: Profiling Allocator-Induced Performance Slowdowns.
[IROS 2023] Shahab Nikkhoo, Zexin Li, Aritra Samanta, Yufei Li, Cong Liu. PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement Learning in Social Dilemmas.
[RTSS 2023] Zexin Li, Aritra Samanta, Yufei Li, Andrea Soltoggio, Hyoseung Kim, Cong Liu. R³: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics.
[RTSS 2023] Zexin Li, Tao Ren, Xiaoxi He, Cong Liu. RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental Dynamics.
[RTSS 2023] Yufei Li, Zexin Li, Wei Yang, Cong Liu. RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models.
[CoLLAs 2023] Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Xinran Liu, Shirin Dora, Cong Liu, Soheil Kolouri, Andrea Soltoggio. Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks.
[Arxiv] Zexin Li, Xiaoxi He, Yufei Li, Shahab Nikkhoo, Wei Yang, Lothar Thiele, Cong Liu. MIMONet: Multi-Input Multi-Output On-Device Deep Learning.
[ICCV 2023] Junfeng Guo, Ang Li, Cong Liu. PolicyCleanse: Detecting and Mitigating Trojan Attacks in Reinforcement Learning.
[ICLR 2023] Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun and Cong Liu. SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency.
[NeurIPS 2023] Junfeng Guo, George Li, Lixu Wang, Heng Huang, Cong Liu, Bo Li. Domain Watermark: Effective and Harmless Dataset Copyright Verification is Closed at Hand.
[ACL 2023] Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu. Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data.
[ACL 2023] Yufei Li, Zexin Li, Yingfan Gao, Cong Liu. White-Box Multi-Objective Adversarial Attack on Dialogue Generation.
[ACL 2023] Yiming Chen, Simin Chen, Zexin Li, Wei Yang, Cong Liu, Robby Tan, Haizhou Li. Dynamic Transformer Provide a False Sense of Efficiency.
[CVPR 2023] Simin Chen, Hanlin Chen, Mirazul Haque, Cong Liu, Wei Yang. The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection.
[CVPR 2023] Zexin Li, Bangjie Yin, Taiping Yao, Junfeng Guo, Shouhong Ding, Simin Chen, Cong Liu. Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition.
[ISSTA 2023] Simin Chen, Shiyi Wei, Cong Liu, Wei Yang. DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization.
[arXiv 2022] Soroush Bateni, Marten Lohstroh, Hou Seng Wong, Rohan Tabish, Hokeun Kim, Shaokai Lin, Christian Menard, Cong Liu, and Edward A. Lee. Xronos: Predictable Coordination for Safety-Critical Distributed Embedded Systems. arXiv:2207.09555.
[ECCV 2022] Zhongnan Qu, Cong Liu, Lothar Thiele, Deep Partial Updating: Towards Communication Efficient updating for On-Device Inference, European Conference on Computer Vision, 2022.
[RTSS 2022] Zheng Dong and Cong Liu, A Utilization-based Test for Non-Preemptive Gang Tasks on Multiprocessors, Proceedings of the IEEE Real-Time Systems Symposium, 2022.
[ICLR 2022] Junfeng Guo, Ang Li, and Cong Liu. AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis, Proceedings of the 10th International Conference on Learning Representations, 2022.
[FSE 2022] Simin Chen, Cong Liu, Mirazul Haque, Zihe Song, Wei Yang, NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems, European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022.
[ASE 2022] Simin Chen, Mirazul Haque, Cong Liu, and Wei Yang, DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks, Proceedings of the IEEE/ACM International Conference on Automated Software Engineering, 2022.
[ICSE 2022] Mirazul Haque, Yaswanth Yadlapalli, Wei Yang, and Cong Liu, EREBA: Black-box Energy Testing of Adaptive Neural Networks, Proceedings of the 44th IEEE/ACM International Conference on Software Engineering, 2022.
[CVPR 2022] Xin Dong, Junfeng Guo, Ang Li, Wei-Te Ting, Cong Liu and H.T. Kung, Neural Mean Discrepancy for Efficient Out-of-Distribution Detection, IEEE Conf. on Computer Vision & Pattern Recognition, 2022.
[CVPR 2022] Simin Chen, Zihe Song, Mirazul Haque, Cong Liu and Wei Yang, NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models, IEEE Conf. on Computer Vision Pattern Recognition, 2022.
[IJCAI 2022] Simin Chen, Hamed Khanpour, Cong Liu, Wei Yang, Learning to Reverse DNNs from AI Programs Automatically, Proceedings of the 31st International joint Conference on Artificial Intelligence, 2022.
[DAC 2021] Yaswanth Yadlapalli, Husheng Zhou, Yuqun Zhang, and Cong Liu, gGuard: Enabling Leakage-Resilient Memory Isolation in GPU-accelerated Autonomous Embedded Systems, Proceedings of the 58th Design Automation Conference, 2021.
[IJCAI 2021] Bengjie Yin, Wenxuan Wang, Taiping Yao, Junfeng Guo, Zelun Kong, and Cong Liu, Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition, Proceedings of the 30th International Joint Conference on Artificial Intelligence, 2021.
[RTSS 2021] Yaswanth Yadlapalli and Cong Liu, LAG-based Analysis Techniques for Scheduling Multiprocessor Hard Real-Time Sporadic DAGs, Proceedings of the 42th IEEE Real-Time Systems Symposium, 2021.
Long Cheng, Linghe Kong, Yu Gu, Jianwei Niu, Ting Zhu, Cong Liu, Tian He. Collision-Free Dynamic Convergecast in Low-Duty-Cycle Wireless Sensor Networks, IEEE Transactions on Wireless Computing, 2021.
Mozi Chen, Kezhong Liu, Jie Ma, Zheng Dong, Guangmo Tong, Cong Liu. MoLoc: Unsupervised Fingerprint Roaming for Device-free Indoor Localization in a Mobile Ship Environment, IEEE Internet of Things Journal, 2021.
[USENIX ATC 2020] Soroush Bateni and Cong Liu, NeuOS: A Latency-Predictable Multi-Dimensional Optimization Framework for DNN-driven Autonomous Systems, Proceedings of the USENIX Annual Technical Conference, 2020.
[ICSE 2020] Husheng Zhou, Wei Li, Zelun Kong, Junfeng Guo, Yuqun Zhang, Bei Yu, Lingming Zhang, and Cong Liu, DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems, Proceedings of the 42nd IEEE/ACM International Conference on Software Engineering, 2020.
[ICSE 2020] Mingyuan Wu, Yicheng Ouyang, Husheng Zhou, Lingming Zhang, Cong Liu, Yuqun Zhang, Simulee: Detecting CUDA Synchronization Bugs via Memory-Access Modeling, Proceedings of the 42nd IEEE/ACM International Conference on Software Engineering, 2020.
[FSE 2020] Simin Chen, Soroush Bateni, Sampath Grandhi, Xiaodi Li, Cong Liu, Wei Yang, DENAS: Automated Rule Generation by Knowledge Extraction from Neural Networks, European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020.
[CVPR 2020] Zelun Kong, Junfeng Guo, Ang Li, and Cong Liu, PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving, IEEE Conference on Computer Vision & Pattern Recognition, 2020.
[CVPR 2020] Mirazul Haque, Anki Chauhan, Cong Liu, and Wei Yang, ILFO: Adversarial Attack on Adaptive Neural Networks, IEEE Conference on Computer Vision & Pattern Recognition, 2020.
[ECCV 2020] Junfeng Guo and Cong Liu, Practical Poisoning Attacks on Neural Networks, European Conference on Computer Vision, 2020.
[RTAS 2020] Soroush Bateni, Zhengdong Wang, Yuankun Zhu, Yang Hu, and Cong Liu, Co-Optimizing Performance and Memory Footprint Via Integrated CPU/GPU Memory Management, an Implementation on Autonomous Driving Platform, Proceedings of the 26th IEEE Real-Time and Embedded Technology and Applications Symposium, 2020.
[EMSOFT 2020] Zhendong Wang, Zihang Jiang, Zhen Wang, Xulong Tang, Cong Liu, Yang Hu, Enabling Latency-aware Data Initialization for Integrated CPU/GPU Heterogeneous Platform, ACM International Conference on Embedded Software, 2020.
Yuting Ma, Kezhong Liu, Mozi Chen, Jie Ma, Cong Liu. ANT: Deadline-Aware Adaptive Emergency Navigation Strategy for Dynamic Hazardous Ship Evacuation With Wireless Sensor Networks, IEEE Access, 2020.
[MobiCom 2019] Liang He, Linghe Kong, Ziyang Liu, Yuanchao Shu, and Cong Liu, Diagnosing Vehicles with Automotive Batteries, Proceedings of the 25th ACM Annual international Conference on Mobile Computing and Networking, 2019.
[RTSS 2019] Zheng Dong and Cong Liu, An Efficient Utilization-based Test for Scheduling Hard Real-Time Sporadic DAG Task Systems on Multiprocessors , Proceedings of the 40th IEEE Real-Time Systems Symposium, 2019.
[RTSS 2019] Soroush Bateni and Cong Liu, Predictable Data-driven Resource Management: an Implementation using Autoware on Autonomous Platforms, Proceedings of the 40th IEEE Real-Time Systems Symposium, 2019.
[RTAS 2019] Xia Zhang, Xuesheng Xiao, Liang He, Yangyang Huang, Yun Ma, Xuanzhe Liu, Wenyao Xu, and Cong Liu, PIFA: An Intelligent Phase Identification and Frequency Adjustment Framework for Time-Sensitive Mobile Computing, Proceedings of the 25th IEEE Real-Time and Embedded Technology and Applications Symposium, 2019.
[ASE 2019] Minguan Wu, Lingming Zhang, Cong Liu, Yuqun Zhang, Automating CUDA Synchronization via Program Transformation, Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019.
Mozi Chen, Kezhong Liu, Jie Ma, Cong Liu. SWIM: Speed-aware WiFi-based Passive Indoor Localization for Mobile Ship Environment, IEEE Transactions on Mobile Computing, IEEE Transactions on Mobile Computing (TMC), 2019
Zheng Dong, Cong Liu, Soroush Bateni, Zelun Kong, Ravi Prakash, Yuqun Zhang. A General Stochastic Analysis Framework for Soft Real-Time Tasks, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2019.
[RTAS 2018] Husheng Zhou, Soroush Bateni, and Cong Liu, S³DNN: Supervised Streaming and Scheduling for GPU-accelerated Real-Time DNN Workloads, Proceedings of the 24th IEEE Real-Time and Embedded Technology and Applications Symposium, CPSWeek 2018. [Best Paper Award]
[RTAS 2018] Zheng Dong, Cong Liu, Soroush Bateni, Jian-Jia Chen, Shared-Resource-Centric Limited Preemptive Scheduling: A Comprehensive Study of Suspension-base Partitioning Approaches, Proceedings of the 24th IEEE Real-Time and Embedded Technology and Applications Symposium, 2018.
[RTSS 2018] Soroush Bateni and Cong Liu, ApNet: Approximation-aware real-time neural network, Proceedings of the 39th IEEE Real-Time Systems Symposium, 2018.
[RTSS 2018] Soroush Bateni, Husheng Zhou, Yuankun Zhu, and Cong Liu, PredJoule: A Timing-predictable energy optimization framework for deep neural networks, Proceedings of the 39th IEEE Real-Time Systems Symposium, 2018.
[ICS 2018] Husheng Zhou, Soroush Bateni, and Cong Liu, Exploring Computation and Data Redundancy via Partial GPU Computing Result Reuse, Proceedings of the 32nd ACM International Conference on Supercomputing, 2018.
[ASE 2018] Mengshi Zhang, Yuqun Zhang, Lingming Zhang, Cong Liu, and Sarfraz Khurshid, DeepRoad: GAN-based Metamorphic Testing and Input Validation Framework for Autonomous Driving Systems, Proceedings of the 33rd IEEE/ACM International Conference on Automated Software Engineering, 2018.
Junghyun Jun, Liang He, Yu Gu, Wenchao Jiang, Gaurav Kushwaha, Vipin A, Long Cheng, Cong Liu and Ting Zhu. Low-Overhead WiFi Fingerprinting, IEEE Transactions on Mobile Computing (TMC), 2018
Zheng Dong and Cong Liu, Analysis Techniques for Supporting Hard Real-Time Sporadic Gang Task Systems, Real-Time Systems (RTS), 2018.
Jian-Jia Chen, Geoffrey Nelissen, Wen-Hung Huang, Maolin Yang, Bjorn Brandenburg, Konstantinos Bletsas, Cong Liu, Pascal Richard, Frederic Ridouard, Neil Audsley, Raj Rajkumar, Dionisio de Niz, Georg vonder Bruggen. Many Suspensions, Many Problems: A Review of Self-Suspending Tasks in Real-Time Systems, Real-Time Systems (RTS), 2018.
Linghe Kong, Liang He, Yu Gu, Cong Liu, Tian He, Kang Shin. Extending Battery System Operation via Adaptive Reconfiguration, IEEE Transactions on Sensor Networks (TOSN), 2018.
Shuai Wang, Tian He, Desheng Zhang, Yuanchao Shu, Yunhuai Liu, Yu Gu, Cong Liu, Haengju Lee and Sang H. Son. BRAVO: Improving the Rebalancing Operation in Bike Share System with Safe Rebalancing Range Prediction, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2018
[RTSS 2017] Zheng Dong and Cong Liu, Analysis techniques for supporting hard real-time sporadic gang task systems, Proceedings of the 38th IEEE Real-Time Systems Symposium, 2017. [Outstanding Paper Award]
[RTSS 2017] Zheng Dong, Cong Liu, Yanhua Li, Jie Bao, Yu Gu, Tian He, Rec: Predictable charging scheduling for electric taxi fleets, Proceedings of the 38th IEEE Real-Time Systems Symposium, 2017.
[INFOCOM 2017] Guangmo Tong, Weili Wu, Ling Guo, Deying Li, Cong Liu, Bin Liu, Ding-Zhu Du, An Efficient Randomized Algorithm for Rumor Blocking in Online Social Networks, Proceedings of the 36th Annual IEEE International Conference on Computer Communications, 2017. [Awarded as one of the Best 10 Papers]
[RTCSA 2017] Jian-Jia Chen, Wen-Hung Huang, Zheng Dong, and Cong Liu, Fixed-Priority Scheduling of Mixed Soft and Hard Real-Time Tasks on Multiprocessors, Proceedings of the 23rd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2017. [Best Paper Runner-up]
Liang He, Guozhu Meng, Yu Gu, Cong Liu, Jun Sun, Ting Zhu, Yang Liu, Kang G. Shin, Battery-aware Mobile Data Service, IEEE Transactions on Mobile Computing (TMC), 2017.
Guangmo Tong, Weili Wu, Guo Ling, Deying Li, Cong Liu, Bin Liu, Ding-Zhu Du. An efficient randomized algorithm for rumor blocking in online social networks, IEEE Transactions on Network Science and Engineering (TNSE), 2017
[RTSS 2016] Zheng Dong, Yu Gu, Jiming Chen, Shaojie Tang, Tian He, and Cong Liu, Enabling predictable wireless data collection in severe energy harvesting environments, Proceedings of the 37th IEEE Real-Time Systems Symposium, 2016.
[RTSS 2016] Jianjia Chen, Wenhung Huang, and Cong Liu, k2Q: A quafratic-form response time and schedulability analysis framework for utilization-based analysis, Proceedings of the 37th IEEE Real-Time Systems Symposium, 2016.
[RTSS 2016] Zheng Dong and Cong Liu, Closing the loop for the selective conversion approach: a Utilization-based test for hard real-time suspending task systems, Proceedings of the 37th IEEE Real-Time Systems Symposium, 2016.
[INFOCOM 2016] Guangmo Tong, Lei Cui, Weili Wu, Cong Liu, and Ding-Zhu Du, Terminal-Set-Enhanced Community Detection in Social Networks, Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016.
[INFOCOM 2016] Long Cheng, Yu Gu, Jianwei Niu, Ting Zhu, Cong Liu, Qingquan Zhang, and Tian He, Taming Collisions for Delay Reduction in Low-Duty-Cycle Wireless Sensor Networks, Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016.
Liang He, Linghe Kong, Siyu Lin, Shaodong Ying, Yu Gu, Tian He and Cong Liu. RAC: Reconfiguration-Assisted Charging in Large-Scale Lithium-ion Battery Systems, IEEE Transactions on Smart Grid (TSG), 2016.
Liang He, Zhe Yang, Yu Gu, Cong Liu, Tian He, and Kang G. Shin. SoH-Aware Reconfiguration in Battery Packs, IEEE Transactions on Smart Grid (TSG), 2016.
[RTAS 2015] Husheng Zhou and Cong Liu, GPES: A Preemptive Execution System for GPGPU Computing, Proceedings of the 21st IEEE Real-Time and Embedded Technology and Applications Symposium, 2015.
[RTSS 2015] Jianjia Chen, Wenhung Huang, and Cong Liu, K2U: A General Framework from k-Point Effective Schedulabiliy Analysis to Utilization-based Tests, Proceedings of the 36th IEEE Real-Time Systems Symposium, 2015.
[DAC 2015] Wenhung Huang, Jianjia Chen, Husheng Zhou and Cong Liu, PASS: Priority Assignment of Real-Time Tasks with Dynamic Suspending Behavior under Fixed-Priority Scheduling, Proceedings of the 52nd Design Automation Conference, 2015.
Guangmo Tong and Cong Liu. Supporting Soft Real-Time Sporadic Task Systems on Heterogeneous Multiprocessors with No Uilitzation Loss, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2015.
Xiaoyang Liu, Yanmin Zhu, Linghe Kong, Cong Liu, Yu Gu, Athanasios Vasilakos, Minyou Wu. CDC: Compressive Data Collection for Wireless Sensor Networks, IEEE Transactions on Parallel and Distributed Systems (TPDS),2015.
[RTSS 2014] Jianjia Chen and Cong Liu, Fixed-Relative-Deadline Scheduling of Hard Real-Time Tasks with Self-Suspensions, Proceedings of the 35th IEEE Real-Time Systems Symposium, 2014.
[RTSS 2014] Cong Liu and Jianjia Chen, Bursty-Interference Analysis Techniques for Analyzing Complex Real-Time Task Models, Proceedings of the 35th IEEE Real-Time Systems Symposium, 2014.
[EMSOFT 2014] Guangmo Tong and Cong Liu, Supporting Read/Write Applications in Embedded Systems via I/O placement and suspension-aware analysis, Proceedings of the 14 ACM International Conference on Embedded Software, 2014.
[EMSOFT 2014] Husheng Zhou and Cong Liu, Task Mapping in Heterogeneous Embedded Systems for Fast Completion Time, Proceedings of the 14 ACM International Conference on Embedded Software, 2014.
[INFOCOM 2014] Liang He, Peng Cheng, Yu Gu, Jianping Pan, Ting Zhu, and Cong Liu, Mobile-to-Mobile Energy Replenishment in Mission-Critical Robotics Sensor Networks, Proceedings of the 33nd Annual IEEE International Conference on Computer Communications, 2014.
Cong Liu and James Anderson, Supporting Soft Real-Time Parallel Applications on Multiprocessors, Journal of Systems Architecture (JSA), 2014.
[RTSS 2013] Liang He, Lipeng Gu, Linghe Kong, Yu Gu, Cong Liu, and Tian He, Exploring Adaptive Reconfiguration to Optimize Energy Efficiency in Large-Scale Battery Systems, Proceedings of the 34th IEEE Real-Time Systems Symposium, 2013.
[RTSS 2012] Cong Liu, and James Anderson, An O(m) Analysis Technique for Supporting Real-Time Self-Suspending Task Systems, Proceedings of the 33th Real-Time Systems Symposium (RTSS), 2012.
[RTCSA 2012] Cong Liu, and James Anderson, Supporting Soft Real-Time Parallel Applications on Multicore Processors, Proceedings of the 18th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 2012. [Best Paper Award]
[PACT 2012] Cong Liu, Jian Li, Wei Huang, Juan Rubio, and Evan Speight, Power-Efficient Time-Sensitive Mapping in CPU/GPU Heterogeneous Systems, Proceedings of the 21st International Conference on Parallel Architectures and Compilation Techniques (PACT), 2012.
[RTSS 2010] Cong Liu, and James H. Anderson, Supporting Soft Real-Time DAG-based Systems on Multiprocessors with No Utilization Loss, Proceedings of the 31st Real-Time Systems Symposium (RTSS), pp. 3-13, 2010.
[RTAS 2010] Cong Liu, and James H. Anderson, Scheduling Suspendable, Pipelined Tasks with Non-Preemptive Sections in Soft Real-Time Multiprocessor Systems, Proceedings of the 16th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), pp. 23-32, 2010.
[RTSS 2009] Cong Liu, and James H. Anderson, Task Scheduling with Self-Suspensions in Soft Real-Time Multiprocessor Systems, Proceedings of the 30th Real-Time Systems Symposium (RTSS), pp. 425-436, 2009. [Best Student Paper Award]