Di Liu - RankMe

77 papers A* 4A 10B 3C 3Misc 5Journal 45Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision. ACM Trans. Embed. Comput. Syst. Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Guochu Xiong, Weichen Liu
2025	J	`jnl`	Input-Aware Slowdown Backdoor Attack on Dynamic Neural Networks. J. Circuits Syst. Comput. Zhiqian Guan, Jing Liu, Zhenli He, Shengfa Miao, Di Liu
2025	J	`jnl`	LODAP: On-Device Incremental Learning Via Lightweight Operations and Data Pruning. CoRR Biqing Duan, Qing Wang, Di Liu, Wei Zhou, Zhenli He, Shengfa Miao
2025	J	`jnl`	LODAP: On-device incremental learning via lightweight operations and data pruning. J. Syst. Archit. Biqing Duan, Qing Wang, Di Liu, Wei Zhou, Zhenli He, Shengfa Miao
2024	J	`jnl`	Domino-Pro-Max: Toward Efficient Network Simplification and Reparameterization for Embedded Hardware Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Guochu Xiong, Weichen Liu
2024	A*	`conf`	Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems. DAC Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Weichen Liu
2024	J	`jnl`	Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision. CoRR Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Guochu Xiong, Weichen Liu
2024	—	`conf`	FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection. ACM Great Lakes Symposium on VLSI Vikash Sathiamoorthy, Shuo Huai, Hao Kong, Di Liu, Wendy Yong Yi Loy, Christian Makaya, Daren Ho, Ravi Subramaniam, Qian Lin, Weichen Liu
2024	B	`conf`	Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting. ASPDAC Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Shiqing Li, Guochu Xiong, Weichen Liu
2023	—	`conf`	Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient in-Memory Acceleration. ASP-DAC Shuo Huai, Di Liu, Xiangzhong Luo, Hui Chen, Weichen Liu, Ravi Subramaniam
2023	A	`conf`	EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI. DATE Hao Kong, Xiangzhong Luo, Shuo Huai, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu
2023	J	`jnl`	EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu
2023	J	`jnl`	Efficient FPGA-Based Sparse Matrix-Vector Multiplication With Data Reuse-Aware Compression. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shiqing Li, Di Liu, Weichen Liu
2023	J	`jnl`	Energy-efficient computation offloading strategy with task priority in cloud assisted multi-access edge computing. Future Gener. Comput. Syst. Zhenli He, Yanan Xu, Di Liu, Wei Zhou, Keqin Li
2023	J	`jnl`	FAT: An In-Memory Accelerator With Fast Addition for Ternary Weight Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shien Zhu, Luan H. K. Duong, Hui Chen, Di Liu, Weichen Liu
2023	J	`jnl`	Improving robustness of convolutional neural networks using element-wise activation scaling. Future Gener. Comput. Syst. Zhi-Yuan Zhang, Hao Ren, Zhenli He, Wei Zhou, Di Liu
2023	J	`jnl`	Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization. Future Gener. Comput. Syst. Shuo Huai, Di Liu, Hao Kong, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin
2023	J	`jnl`	LightNAS: On Lightweight and Scalable Neural Architecture Search for Embedded Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu
2023	—	`conf`	MUGNoC: A Software-Configured Multicast-Unicast-Gather NoC for Accelerating CNN Dataflows. ASP-DAC Hui Chen, Di Liu, Shiqing Li, Shuo Huai, Xiangzhong Luo, Weichen Liu
2023	J	`jnl`	OCAP: On-device Class-Aware Pruning for personalized edge DNN models. J. Syst. Archit. Ye-Da Ma, Zhi-Chao Zhao, Di Liu, Zhenli He, Wei Zhou
2023	J	`jnl`	On Hardware-Aware Design and Optimization of Edge Intelligence. IEEE Des. Test Shuo Huai, Hao Kong, Xiangzhong Luo, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu
2023	J	`jnl`	SurgeNAS: A Comprehensive Surgery on Hardware-Aware Differentiable Neural Architecture Search. IEEE Trans. Computers Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu
2023	A*	`conf`	Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning. DAC Hao Kong, Di Liu, Xiangzhong Luo, Shuo Huai, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu
2022	J	`jnl`	Bringing AI to edge: From deep learning's perspective. Neurocomputing Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam
2022	J	`jnl`	CARTAD: Compiler-Assisted Reinforcement Learning for Thermal-Aware Task Scheduling and DVFS on Multicores. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Di Liu, Shi-Gui Yang, Zhenli He, Mingxiong Zhao, Weichen Liu
2022	C	`conf`	Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems. ICCD Shuo Huai, Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin
2022	J	`jnl`	Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xiangzhong Luo, Di Liu, Shuo Huai, Hao Kong, Hui Chen, Weichen Liu
2022	J	`jnl`	EDLAB: A Benchmark for Edge Deep Learning Accelerators. IEEE Des. Test Hao Kong, Shuo Huai, Di Liu, Lei Zhang, Hui Chen, Shien Zhu, Shiqing Li, Weichen Liu, Manu Rastogi, Ravi Subramaniam, Madhu Athreya, M. Anthony Lewis
2022	—	`conf`	Efficient On-Device Incremental Learning by Weight Freezing. ASP-DAC Ze-Han Wang, Zhenli He, Hui Fang, Yi-Xiong Huang, Ying Sun, Yu Yang, Zhi-Yuan Zhang, Di Liu
2022	J	`jnl`	FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks. CoRR Shien Zhu, Luan H. K. Duong, Hui Chen, Di Liu, Weichen Liu
2022	—	`conf`	HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs. ASP-DAC Hao Kong, Di Liu, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam
2022	J	`jnl`	Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling. CoRR Zhi-Yuan Zhang, Di Liu
2022	J	`jnl`	Layerwise Security Protection for Deep Neural Networks in Industrial Cyber Physical Systems. IEEE Trans. Ind. Informatics Wei Jiang, Ziwei Song, Jinyu Zhan, Di Liu, Jiafu Wan
2022	A	`conf`	Once For All Skip: Efficient Adaptive Deep Neural Networks. DATE Yu Yang, Di Liu, Hui Fang, Yi-Xiong Huang, Ying Sun, Zhi-Yuan Zhang
2022	A	`conf`	Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware. ICCAD Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin
2022	J	`jnl`	Toward the Predictability of Dynamic Real-Time DNN Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Weiguang Pang, Xu Jiang, Mingsong Lv, Teng Gao, Di Liu, Wang Yi
2022	Misc	`conf`	Work-in-Progress: What to Expect of Early Training Statistics? An Investigation on Hardware-Aware Neural Architecture Search. CODES+ISSS Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu
2022	J	`jnl`	You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms. CoRR Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu
2022	A*	`conf`	You only search once: on lightweight differentiable architecture search for resource-constrained embedded platforms. DAC Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu
2021	J	`jnl`	Collaborative offloading for UAV-enabled time-sensitive MEC networks. EURASIP J. Wirel. Commun. Netw. Wen-Tao Li, Mingxiong Zhao, Yu-Hui Wu, Jun-Jie Yu, Ling-Yan Bao, Huan Yang, Di Liu
2021	J	`jnl`	Energy-Aware Task Offloading and Resource Allocation for Time-Sensitive Services in Mobile Edge Computing Systems. IEEE Trans. Veh. Technol. Mingxiong Zhao, Jun-Jie Yu, Wen-Tao Li, Di Liu, Shaowen Yao, Wei Feng, Changyang She, Tony Q. S. Quek
2021	J	`jnl`	Fairness-Aware Task Scheduling and Resource Allocation in UAV-Enabled Mobile Edge Computing Networks. IEEE Trans. Green Commun. Netw. Mingxiong Zhao, Wentao Li, Ling-Yan Bao, Jia Luo, Zhenli He, Di Liu
2021	A	`conf`	HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search. DATE Xiangzhong Luo, Di Liu, Shuo Huai, Weichen Liu
2021	J	`jnl`	HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search. CoRR Xiangzhong Luo, Di Liu, Shuo Huai, Weichen Liu
2021	A	`conf`	Optimized Data Reuse via Reordering for Sparse Matrix-Vector Multiplication on FPGAs. ICCAD Shiqing Li, Di Liu, Weichen Liu
2021	Misc	`conf`	Partial order based non-preemptive communication scheduling towards real-time networks-on-chip. SAC Peng Chen, Hui Chen, Jun Zhou, Di Liu, Shiqing Li, Weichen Liu, Wanli Chang, Nan Guan
2021	J	`jnl`	Reaching consensus in decentralized coordination of distributed microservices. Comput. Networks Gang Xue, Shuiguang Deng, Di Liu, Zeming Yan
2021	A*	`conf`	ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems. DAC Shuo Huai, Lei Zhang, Di Liu, Weichen Liu, Ravi Subramaniam
2020	J	`jnl`	Bringing AI To Edge: From Deep Learning's Perspective. CoRR Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam
2020	C	`conf`	EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems. ICCD Xiangzhong Luo, Di Liu, Hao Kong, Weichen Liu
2020	J	`jnl`	Energy-Aware Offloading in Time-Sensitive Networks with Mobile Edge Computing. CoRR Mingxiong Zhao, Jun-Jie Yu, Wen-Tao Li, Di Liu, Shaowen Yao, Wei Feng, Changyang She, Tony Q. S. Quek
2020	J	`jnl`	Energy-Efficient Parallel Real-Time Scheduling on Clustered Multi-Core. IEEE Trans. Parallel Distributed Syst. Ashikahmed Bhuiyan, Di Liu, Aamir Khan, Abusayeed Saifullah, Nan Guan, Zhishan Guo
2020	B	`conf`	Joint Offloading and Resource Allocation for Time-Sensitive Multi-Access Edge Computing Network. WCNC Jun-Jie Yu, Mingxiong Zhao, Wen-Tao Li, Di Liu, Shaowen Yao, Wei Feng
2019	J	`jnl`	A process partitioning technique for constructing decentralized web service compositions. Softw. Pract. Exp. Gang Xue, Di Liu, Junsong Liu, Shaowen Yao
2019	A	`conf`	Analyzing GEDF Scheduling for Parallel Real-Time Tasks with Arbitrary Deadlines. DATE Xu Jiang, Nan Guan, Di Liu, Weichen Liu
2019	J	`jnl`	CASS: Criticality-Aware Standby-Sparing for real-time systems. J. Syst. Archit. Mingxiong Zhao, Di Liu, Xu Jiang, Weichen Liu, Gang Xue, Cheng Xie, Yun Yang, Zhishan Guo
2019	J	`jnl`	Confidential Cooperative Communication with the Trust Degree of Jammer. Entropy Mingxiong Zhao, Di Liu, Hui Gao, Wei Feng
2019	A	`conf`	Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms. RTAS Zhishan Guo, Ashikahmed Bhuiyan, Di Liu, Aamir Khan, Abusayeed Saifullah, Nan Guan
2019	J	`jnl`	Knowledge Graph-Based Image Classification Refinement. IEEE Access Dehai Zhang, Menglong Cui, Yun Yang, Po Yang, Cheng Xie, Di Liu, Beibei Yu, Zhibo Chen
2019	J	`jnl`	ReLeTA: Reinforcement Learning for Thermal-Aware Task Allocation on Multicore. CoRR Shi-Gui Yang, Yuan-Yuan Wang, Di Liu, Xu Jiang, Hui Fang, Yu Yang, Mingxiong Zhao
2019	J	`jnl`	Real-Time Scheduling of DAG Tasks with Arbitrary Deadlines. ACM Trans. Design Autom. Electr. Syst. Kankan Wang, Xu Jiang, Nan Guan, Di Liu, Weichen Liu, Qingxu Deng
2018	C	`conf`	Brain Tumor Segmention Based on Dilated Convolution Refine Networks. SERA Di Liu, Hao Zhang, Mingming Zhao, Xiaojuan Yu, Shaowen Yao, Wei Zhou
2018	J	`jnl`	Scheduling Analysis of Imprecise Mixed-Criticality Real-Time Tasks. IEEE Trans. Computers Di Liu, Nan Guan, Jelena Spasic, Gang Chen, Songran Liu, Todor P. Stefanov, Wang Yi
2018	J	`jnl`	Utilization-Based Scheduling of Flexible Mixed-Criticality Real-Time Tasks. IEEE Trans. Computers Gang Chen, Nan Guan, Di Liu, Qingqiang He, Kai Huang, Todor P. Stefanov, Wang Yi
2017	J	`jnl`	Utilization-Based Scheduling of Flexible Mixed-Criticality Real-Time Tasks. CoRR Gang Chen, Nan Guan, Di Liu, Qingqiang He, Kai Huang, Todor P. Stefanov, Wang Yi
2016	A	`conf`	EDF-VD Scheduling of Mixed-Criticality Systems with Degraded Quality Guarantees. RTSS Di Liu, Jelena Spasic, Nan Guan, Gang Chen, Songran Liu, Todor P. Stefanov, Wang Yi
2016	J	`jnl`	EDF-VD Scheduling of Mixed-Criticality Systems with Degraded Quality Guarantees. CoRR Di Liu, Jelena Spasic, Gang Chen, Nan Guan, Songran Liu, Todor P. Stefanov, Wang Yi
2016	B	`conf`	Energy-Efficient Scheduling of Real-Time Tasks on Heterogeneous Multicores Using Task Splitting. RTCSA Di Liu, Jelena Spasic, Peng Wang, Todor P. Stefanov
2016	Misc	`conf`	Energy-efficient mapping of real-time applications on heterogeneous MPSoCs using task replication. CODES+ISSS Jelena Spasic, Di Liu, Todor P. Stefanov
2016	A	`conf`	Exploiting resource-constrained parallelism in hard real-time streaming applications. DATE Jelena Spasic, Di Liu, Todor P. Stefanov
2016	J	`jnl`	On the Improved Hard Real-Time Scheduling of Cyclo-Static Dataflow. ACM Trans. Embed. Comput. Syst. Jelena Spasic, Di Liu, Emanuele Cannella, Todor P. Stefanov
2016	J	`jnl`	Reconfigurable cache for real-time MPSoCs: Scheduling and implementation. Microprocess. Microsystems Gang Chen, Biao Hu, Kai Huang, Alois C. Knoll, Kai Huang, Di Liu, Todor P. Stefanov, Feng Li
2015	—	`conf`	Energy-efficient mapping of real-time streaming applications on cluster heterogeneous MPSoCs. ESTIMedia Di Liu, Jelena Spasic, Gang Chen, Todor P. Stefanov
2015	Misc	`conf`	Improved hard real-time scheduling of CSDF-modeled streaming applications. CODES+ISSS Jelena Spasic, Di Liu, Emanuele Cannella, Todor P. Stefanov
2014	Misc	`conf`	Abstract: Shared L2 Cache Management in Multicore Real-Time System. FCCM Gang Chen, Biao Hu, Kai Huang, Alois C. Knoll, Di Liu
2014	—	`conf`	Automatic cache partitioning and time-triggered scheduling for real-time MPSoCs. ReConFig Gang Chen, Biao Hu, Kai Huang, Alois C. Knoll, Kai Huang, Di Liu, Todor P. Stefanov
2014	A	`conf`	Resource optimization for CSDF-modeled streaming applications with latency constraints. DATE Di Liu, Jelena Spasic, Jiali Teddy Zhai, Todor P. Stefanov, Gang Chen