Xiangzhong Luo

46 papers A* 3A 4B 2C 4Misc 3Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Divide and Conquer: Accelerating Diffusion-Based Large Language Models via Adaptive Parallel Decoding. CoRR Xiangzhong Luo, Yilin An, Zhicheng Yu, Weichen Liu, Xu Yang
2026	J	`jnl`	Flatter Tokens are More Valuable for Speculative Draft Model Training. CoRR Jiaming Fan, Daming Cao, Xiangzhong Luo, Jiale Fu, Chonghan Liu, Xu Yang
2025	C	`conf`	Coherence-Aware Task Graph Modeling for Realistic Application. MEMOCODE Guochu Xiong, Xiangzhong Luo, Weichen Liu
2025	J	`jnl`	Coherence-Aware Task Graph Modeling for Realistic Application. CoRR Guochu Xiong, Xiangzhong Luo, Weichen Liu
2025	Misc	`conf`	Demo Abstract: Parameterized Stochastic Ensemble Defense for Object Detection. SenSys Yuting Wu, Dongfang Guo, Xiangzhong Luo, Qun Song, Rui Tan
2025	J	`jnl`	Dynamic Layer Routing Defense for Real-Time Embedded Vision. ACM Trans. Embed. Comput. Syst. Zimo Ma, Xiangzhong Luo, Qun Song, Rui Tan
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`	Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems. CoRR Xiangzhong Luo, Weichen Liu
2025	—	`conf`	Learning Cache Coherence Traffic for NoC Routing Design. ACM Great Lakes Symposium on VLSI Guochu Xiong, Xiangzhong Luo, Weichen Liu
2025	J	`jnl`	Learning Cache Coherence Traffic for NoC Routing Design. CoRR Guochu Xiong, Xiangzhong Luo, Weichen Liu
2025	Misc	`conf`	Poster Abstract: Mobile Vision Dynamic Layer Dropping against Adversarial Attacks. SenSys Zimo Ma, Xiangzhong Luo, Qun Song, Rui Tan
2025	J	`jnl`	d CoRR Yuchu Jiang, Yue Cai, Xiangzhong Luo, Jiale Fu, Jiarui Wang, Chonghan Liu, Xu Yang
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	J	`jnl`	EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems. IEEE Embed. Syst. Lett. Shuo Huai, Hao Kong, Shiqing Li, Xiangzhong Luo, Ravi Subramaniam, Christian Makaya, 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	B	`conf`	An Efficient Sparse LSTM Accelerator on Embedded FPGAs with Bandwidth-Oriented Pruning. FPL Shiqing Li, Shien Zhu, Xiangzhong Luo, Tao Luo, Weichen Liu
2023	J	`jnl`	CRIMP: Compact & Reliable DNN Inference on In-Memory Processing via Crossbar-Aligned Compression and Non-ideality Adaptation. ACM Trans. Embed. Comput. Syst. Shuo Huai, Hao Kong, Xiangzhong Luo, Shiqing Li, Ravi Subramaniam, Christian Makaya, Qian Lin, 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`	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`	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	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	—	`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`	LAMP: Load-Balanced Multipath Parallel Transmission in Point-to-Point NoCs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Hui Chen, Peng Chen, Xiangzhong Luo, Shuo Huai, Weichen Liu
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	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	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	J	`jnl`	MARCO: A High-performance Task Mapping and Routing Co-optimization Framework for Point-to-Point NoC-based Heterogeneous Computing Systems. ACM Trans. Embed. Comput. Syst. Hui Chen, Zihao Zhang, Peng Chen, Xiangzhong Luo, Shiqing Li, Weichen Liu
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	A	`conf`	Person Re-Identification Via Pose-Aware Multi-Semantic Learning. ICME Xiangzhong Luo, Luan H. K. Duong, Weichen Liu
2018	—	`conf`	Application of Deep Learning in Analog Circuit Sizing. CSAI/ICIMT Zhenyu Wang, Xiangzhong Luo, Zheng Gong
2017	C	`conf`	Leaf chlorophyll content estimation from sentinel-2 MSI data. IGARSS Qingmiao Ma, Jing M. Chen, Yingjie Li, Holly Croft, Xiangzhong Luo, Ting Zheng, Sophia Zamaria
2013	J	`jnl`	Analysis of the Phenology in the Mongolian Plateau by Inter-Comparison of Global Vegetation Datasets. Remote. Sens. Lijuan Miao, Yibo Luan, Xiangzhong Luo, Qiang Liu, John C. Moore, Reshmita Nath, Bin He, Feng Zhu, Xuefeng Cui
2013	J	`jnl`	Assessing Performance of NDVI and NDVI3g in Monitoring Leaf Unfolding Dates of the Deciduous Broadleaf Forest in Northern China. Remote. Sens. Xiangzhong Luo, Xiaoqiu Chen, Lin Xu, Ranga B. Myneni, Zaichun Zhu