Resource optimization for CSDF-modeled streaming applications with latency constraints. - Di Liu 002; Jelena Spasic; Jiali Teddy Zhai; Todor P. Stefanov; Gang Chen 023 (DATE, 2014)

Abstract: Shared L2 Cache Management in Multicore Real-Time System. - Gang Chen 023; Biao Hu 001; Kai Huang 001; Alois C. Knoll; Di Liu 002 (FCCM, 2014)

Automatic cache partitioning and time-triggered scheduling for real-time MPSoCs. - Gang Chen 023; Biao Hu 001; Kai Huang 001; Alois C. Knoll; Kai Huang 002; Di Liu 002; Todor P. Stefanov (ReConFig, 2014)

Improved hard real-time scheduling of CSDF-modeled streaming applications. - Jelena Spasic; Di Liu 002; Emanuele Cannella; Todor P. Stefanov (CODES+ISSS, 2015)

Energy-efficient mapping of real-time streaming applications on cluster heterogeneous MPSoCs. - Di Liu 002; Jelena Spasic; Gang Chen 023; Todor P. Stefanov (ESTIMedia, 2015)

Energy-efficient mapping of real-time applications on heterogeneous MPSoCs using task replication. - Jelena Spasic; Di Liu 002; Todor P. Stefanov (CODES+ISSS, 2016)

Exploiting resource-constrained parallelism in hard real-time streaming applications. - Jelena Spasic; Di Liu 002; Todor P. Stefanov (DATE, 2016)

Energy-Efficient Scheduling of Real-Time Tasks on Heterogeneous Multicores Using Task Splitting. - Di Liu 002; Jelena Spasic; Peng Wang 036; Todor P. Stefanov (RTCSA, 2016)

EDF-VD Scheduling of Mixed-Criticality Systems with Degraded Quality Guarantees. - Di Liu 002; Jelena Spasic; Nan Guan; Gang Chen 023; Songran Liu; Todor P. Stefanov; Wang Yi 001 (RTSS, 2016)

Reconfigurable cache for real-time MPSoCs: Scheduling and implementation. - Gang Chen 023; Biao Hu 001; Kai Huang 001; Alois C. Knoll; Kai Huang 002; Di Liu 002; Todor P. Stefanov; Feng Li (Microprocess. Microsystems, 2016)

On the Improved Hard Real-Time Scheduling of Cyclo-Static Dataflow. - Jelena Spasic; Di Liu 002; Emanuele Cannella; Todor P. Stefanov (ACM Trans. Embed. Comput. Syst., 2016)

Brain Tumor Segmention Based on Dilated Convolution Refine Networks. - Di Liu 002; Hao Zhang; Mingming Zhao; Xiaojuan Yu; Shaowen Yao 001; Wei Zhou 011 (SERA, 2018)

Utilization-Based Scheduling of Flexible Mixed-Criticality Real-Time Tasks. - Gang Chen 023; Nan Guan; Di Liu 002; Qingqiang He; Kai Huang 001; Todor P. Stefanov; Wang Yi 001 (IEEE Trans. Computers, 2018)

Scheduling Analysis of Imprecise Mixed-Criticality Real-Time Tasks. - Di Liu 002; Nan Guan; Jelena Spasic; Gang Chen 023; Songran Liu; Todor P. Stefanov; Wang Yi 001 (IEEE Trans. Computers, 2018)

Analyzing GEDF Scheduling for Parallel Real-Time Tasks with Arbitrary Deadlines. - Xu Jiang 004; Nan Guan; Di Liu 002; Weichen Liu (DATE, 2019)

Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms. - Zhishan Guo; Ashikahmed Bhuiyan; Di Liu 002; Aamir Khan; Abusayeed Saifullah; Nan Guan (RTAS, 2019)

Knowledge Graph-Based Image Classification Refinement. - Dehai Zhang; Menglong Cui; Yun Yang 003; Po Yang 001; Cheng Xie; Di Liu 002; Beibei Yu; Zhibo Chen 005 (IEEE Access, 2019)

ReLeTA: Reinforcement Learning for Thermal-Aware Task Allocation on Multicore. - Shi-Gui Yang; Yuan-Yuan Wang; Di Liu 002; Xu Jiang 004; Hui Fang; Yu Yang; Mingxiong Zhao 001 (CoRR, 2019)

Confidential Cooperative Communication with the Trust Degree of Jammer. - Mingxiong Zhao 001; Di Liu 002; Hui Gao 001; Wei Feng 014 (Entropy, 2019)

CASS: Criticality-Aware Standby-Sparing for real-time systems. - Mingxiong Zhao 001; Di Liu 002; Xu Jiang 004; Weichen Liu; Gang Xue; Cheng Xie; Yun Yang 003; Zhishan Guo (J. Syst. Archit., 2019)

A process partitioning technique for constructing decentralized web service compositions. - Gang Xue; Di Liu 002; Junsong Liu; Shaowen Yao 001 (Softw. Pract. Exp., 2019)

Real-Time Scheduling of DAG Tasks with Arbitrary Deadlines. - Kankan Wang; Xu Jiang 004; Nan Guan; Di Liu 002; Weichen Liu; Qingxu Deng (ACM Trans. Design Autom. Electr. Syst., 2019)

EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems. - Xiangzhong Luo; Di Liu 002; Hao Kong; Weichen Liu (ICCD, 2020)

Joint Offloading and Resource Allocation for Time-Sensitive Multi-Access Edge Computing Network. - Jun-Jie Yu; Mingxiong Zhao 001; Wen-Tao Li; Di Liu 002; Shaowen Yao 001; Wei Feng 014 (WCNC, 2020)

Energy-Aware Offloading in Time-Sensitive Networks with Mobile Edge Computing. - Mingxiong Zhao 001; Jun-Jie Yu; Wen-Tao Li; Di Liu 002; Shaowen Yao 001; Wei Feng 014; Changyang She; Tony Q. S. Quek (CoRR, 2020)

Energy-Efficient Parallel Real-Time Scheduling on Clustered Multi-Core. - Ashikahmed Bhuiyan; Di Liu 002; Aamir Khan; Abusayeed Saifullah; Nan Guan; Zhishan Guo (IEEE Trans. Parallel Distributed Syst., 2020)

ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems. - Shuo Huai; Lei Zhang 072; Di Liu 002; Weichen Liu; Ravi Subramaniam (DAC, 2021)

HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search. - Xiangzhong Luo; Di Liu 002; Shuo Huai; Weichen Liu (DATE, 2021)

Optimized Data Reuse via Reordering for Sparse Matrix-Vector Multiplication on FPGAs. - Shiqing Li; Di Liu 002; Weichen Liu (ICCAD, 2021)

Partial order based non-preemptive communication scheduling towards real-time networks-on-chip. - Peng Chen 027; Hui Chen 016; Jun Zhou; Di Liu 002; Shiqing Li; Weichen Liu; Wanli Chang 001; Nan Guan (SAC, 2021)

Reaching consensus in decentralized coordination of distributed microservices. - Gang Xue; Shuiguang Deng; Di Liu 002; Zeming Yan (Comput. Networks, 2021)

Collaborative offloading for UAV-enabled time-sensitive MEC networks. - Wen-Tao Li; Mingxiong Zhao 001; Yu-Hui Wu; Jun-Jie Yu; Ling-Yan Bao; Huan Yang; Di Liu 002 (EURASIP J. Wirel. Commun. Netw., 2021)

Fairness-Aware Task Scheduling and Resource Allocation in UAV-Enabled Mobile Edge Computing Networks. - Mingxiong Zhao 001; Wentao Li; Ling-Yan Bao; Jia Luo; Zhenli He; Di Liu 002 (IEEE Trans. Green Commun. Netw., 2021)

Energy-Aware Task Offloading and Resource Allocation for Time-Sensitive Services in Mobile Edge Computing Systems. - Mingxiong Zhao 001; Jun-Jie Yu; Wen-Tao Li; Di Liu 002; Shaowen Yao 001; Wei Feng 014; Changyang She; Tony Q. S. Quek (IEEE Trans. Veh. Technol., 2021)

HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs. - Hao Kong; Di Liu 002; Xiangzhong Luo; Weichen Liu; Ravi Subramaniam (ASP-DAC, 2022)

Efficient On-Device Incremental Learning by Weight Freezing. - Ze-Han Wang; Zhenli He; Hui Fang; Yi-Xiong Huang; Ying Sun; Yu Yang; Zhi-Yuan Zhang; Di Liu 002 (ASP-DAC, 2022)

Work-in-Progress: What to Expect of Early Training Statistics? An Investigation on Hardware-Aware Neural Architecture Search. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Hui Chen 016; Weichen Liu (CODES+ISSS, 2022)

You only search once: on lightweight differentiable architecture search for resource-constrained embedded platforms. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Hui Chen 016; Weichen Liu (DAC, 2022)

Once For All Skip: Efficient Adaptive Deep Neural Networks. - Yu Yang; Di Liu 002; Hui Fang; Yi-Xiong Huang; Ying Sun; Zhi-Yuan Zhang (DATE, 2022)

Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware. - Hao Kong; Di Liu 002; Shuo Huai; Xiangzhong Luo; Weichen Liu; Ravi Subramaniam; Christian Makaya; Qian Lin 001 (ICCAD, 2022)

Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems. - Shuo Huai; Di Liu 002; Hao Kong; Xiangzhong Luo; Weichen Liu; Ravi Subramaniam; Christian Makaya; Qian Lin 001 (ICCD, 2022)

Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling. - Zhi-Yuan Zhang; Di Liu 002 (CoRR, 2022)

EDLAB: A Benchmark for Edge Deep Learning Accelerators. - Hao Kong; Shuo Huai; Di Liu 002; Lei Zhang 072; Hui Chen 016; Shien Zhu; Shiqing Li; Weichen Liu; Manu Rastogi; Ravi Subramaniam; Madhu Athreya; M. Anthony Lewis (IEEE Des. Test, 2022)

Bringing AI to edge: From deep learning's perspective. - Di Liu 002; Hao Kong; Xiangzhong Luo; Weichen Liu; Ravi Subramaniam (Neurocomputing, 2022)

CARTAD: Compiler-Assisted Reinforcement Learning for Thermal-Aware Task Scheduling and DVFS on Multicores. - Di Liu 002; Shi-Gui Yang; Zhenli He; Mingxiong Zhao 001; Weichen Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond. - Xiangzhong Luo; Di Liu 002; Shuo Huai; Hao Kong; Hui Chen 016; Weichen Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Toward the Predictability of Dynamic Real-Time DNN Inference. - Weiguang Pang; Xu Jiang 004; Mingsong Lv; Teng Gao; Di Liu 002; Wang Yi 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Layerwise Security Protection for Deep Neural Networks in Industrial Cyber Physical Systems. - Wei Jiang 016; Ziwei Song; Jinyu Zhan; Di Liu 002; Jiafu Wan (IEEE Trans. Ind. Informatics, 2022)

MUGNoC: A Software-Configured Multicast-Unicast-Gather NoC for Accelerating CNN Dataflows. - Hui Chen 016; Di Liu 002; Shiqing Li; Shuo Huai; Xiangzhong Luo; Weichen Liu (ASP-DAC, 2023)

Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient in-Memory Acceleration. - Shuo Huai; Di Liu 002; Xiangzhong Luo; Hui Chen 016; Weichen Liu; Ravi Subramaniam (ASP-DAC, 2023)

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning. - Hao Kong; Di Liu 002; Xiangzhong Luo; Shuo Huai; Ravi Subramaniam; Christian Makaya; Qian Lin 001; Weichen Liu (DAC, 2023)

EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI. - Hao Kong; Xiangzhong Luo; Shuo Huai; Di Liu 002; Ravi Subramaniam; Christian Makaya; Qian Lin 001; Weichen Liu (DATE, 2023)

FAT: An In-Memory Accelerator With Fast Addition for Ternary Weight Neural Networks. - Shien Zhu; Luan H. K. Duong; Hui Chen 016; Di Liu 002; Weichen Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

SurgeNAS: A Comprehensive Surgery on Hardware-Aware Differentiable Neural Architecture Search. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Hui Chen 016; Weichen Liu (IEEE Trans. Computers, 2023)

Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization. - Shuo Huai; Di Liu 002; Hao Kong; Weichen Liu; Ravi Subramaniam; Christian Makaya; Qian Lin 001 (Future Gener. Comput. Syst., 2023)

LightNAS: On Lightweight and Scalable Neural Architecture Search for Embedded Platforms. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Hui Chen 016; Weichen Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

OCAP: On-device Class-Aware Pruning for personalized edge DNN models. - Ye-Da Ma; Zhi-chao Zhao; Di Liu 002; Zhenli He; Wei Zhou 011 (J. Syst. Archit., 2023)

Energy-efficient computation offloading strategy with task priority in cloud assisted multi-access edge computing. - Zhenli He; Yanan Xu; Di Liu 002; Wei Zhou 011; Keqin Li 001 (Future Gener. Comput. Syst., 2023)

On Hardware-Aware Design and Optimization of Edge Intelligence. - Shuo Huai; Hao Kong; Xiangzhong Luo; Di Liu 002; Ravi Subramaniam; Christian Makaya; Qian Lin 001; Weichen Liu (IEEE Des. Test, 2023)

Improving robustness of convolutional neural networks using element-wise activation scaling. - Zhi-Yuan Zhang; Hao Ren; Zhenli He; Wei Zhou 011; Di Liu 002 (Future Gener. Comput. Syst., 2023)

EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI. - Hao Kong; Di Liu 002; Shuo Huai; Xiangzhong Luo; Ravi Subramaniam; Christian Makaya; Qian Lin 001; Weichen Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Efficient FPGA-Based Sparse Matrix-Vector Multiplication With Data Reuse-Aware Compression. - Shiqing Li; Di Liu 002; Weichen Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Hui Chen 016; Shiqing Li; Guochu Xiong; Weichen Liu (ASPDAC, 2024)

Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Weichen Liu (DAC, 2024)

FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection. - Vikash Sathiamoorthy; Shuo Huai; Hao Kong; Di Liu 002; Wendy Yong Yi Loy; Christian Makaya; Daren Ho; Ravi Subramaniam; Qian Lin 001; Weichen Liu (ACM Great Lakes Symposium on VLSI, 2024)

Domino-Pro-Max: Toward Efficient Network Simplification and Reparameterization for Embedded Hardware Systems. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Guochu Xiong; Weichen Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Hui Chen 016; Guochu Xiong; Weichen Liu (ACM Trans. Embed. Comput. Syst., 2025)

LODAP: On-Device Incremental Learning Via Lightweight Operations and Data Pruning. - Biqing Duan; Qing Wang; Di Liu 002; Wei Zhou 011; Zhenli He; Shengfa Miao (CoRR, 2025)