Liu Liu - RankMe

50 papers A* 8A 5B 1Journal 28Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust Heterogeneous Analog-Digital Computing for Mixture-of-Experts Models with Theoretical Generalization Guarantees. CoRR Mohammed Nowaz Rabbani Chowdhury, Hsinyu Tsai, Geoffrey W. Burr, Kaoutar El Maghraoui, Liu Liu, Meng Wang
2026	—	`conf`	STARC: Selective Token Access with Remapping and Clustering for Efficient LLM Decoding on PIM Systems. ASPLOS (2) Zehao Fan, Yunzhen Liu, Garrett Gagnon, Zhenyu Liu, Yayue Hou, Hadjer Benmeziane, Kaoutar El Maghraoui, Liu Liu
2026	J	`jnl`	TRACE: Unlocking Effective CXL Bandwidth via Lossless Compression and Precision Scaling. IEEE Trans. Computers Rui Xie, Asad Ul Haq, Yunhua Fang, Linsen Ma, Zirak Burzin Engineer, Liu Liu, Tong Zhang
2025	J	`jnl`	Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System. IEEE Comput. Archit. Lett. Yunhua Fang, Rui Xie, Asad Ul Haq, Linsen Ma, Kaoutar El Maghraoui, Naigang Wang, Meng Wang, Liu Liu, Tong Zhang
2025	J	`jnl`	Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System. CoRR Yunhua Fang, Rui Xie, Asad Ul Haq, Linsen Ma, Kaoutar El Maghraoui, Naigang Wang, Meng Wang, Liu Liu, Tong Zhang
2025	J	`jnl`	Amplifying Effective CXL Memory Bandwidth for LLM Inference via Transparent Near-Data Processing. CoRR Rui Xie, Asad Ul Haq, Linsen Ma, Yunhua Fang, Zirak Burzin Engineer, Liu Liu, Tong Zhang
2025	J	`jnl`	Bandwidth-Efficient Adaptive Mixture-of-Experts via Low-Rank Compensation. CoRR Zhenyu Liu, Yunzhen Liu, Zehao Fan, Garrett Gagnon, Yayue Hou, Nan Wu, Yangwook Kang, Liu Liu
2025	A	`conf`	BitWeaver: Read-Time Truncation in Memory. ICS Garrett Gagnon, Srikanth Malla, Yangwook Kang, Liu Liu
2025	J	`jnl`	Breaking the HBM Bit Cost Barrier: Domain-Specific ECC for AI Inference Infrastructure. IEEE Comput. Archit. Lett. Rui Xie, Asad Ul Haq, Yunhua Fang, Linsen Ma, Sanchari Sen, Swagath Venkataramani, Liu Liu, Tong Zhang
2025	J	`jnl`	Breaking the HBM Bit Cost Barrier: Domain-Specific ECC for AI Inference Infrastructure. CoRR Rui Xie, Asad Ul Haq, Yunhua Fang, Linsen Ma, Sanchari Sen, Swagath Venkataramani, Liu Liu, Tong Zhang
2025	J	`jnl`	Context-Aware Mixture-of-Experts Inference on CXL-Enabled GPU-NDP Systems. CoRR Zehao Fan, Zhenyu Liu, Yunzhen Liu, Yayue Hou, Hadjer Benmeziane, Kaoutar El Maghraoui, Liu Liu
2025	J	`jnl`	Leveraging 3D Technologies for Hardware Security: Opportunities and Challenges. CoRR Peng Gu, Shuangchen Li, Dylan C. Stow, Russell Barnes, Liu Liu, Yuan Xie, Eren Kursshan
2025	J	`jnl`	Making Strong Error-Correcting Codes Work Effectively for HBM in AI Inference. CoRR Rui Xie, Yunhua Fang, Asad Ul Haq, Linsen Ma, Sanchari Sen, Swagath Venkataramani, Liu Liu, Tong Zhang
2025	A	`conf`	NORA: Noise-Optimized Rescaling of LLMs on Analog Compute-in-Memory Accelerators. DATE Yayue Hou, Hsinyu Tsai, Kaoutar El Maghraoui, Tayfun Gokmen, Geoffrey W. Burr, Liu Liu
2025	J	`jnl`	Reimagining Memory Access for LLM Inference: Compression-Aware Memory Controller Design. CoRR Rui Xie, Asad Ul Haq, Linsen Ma, Yunhua Fang, Zirak Burzin Engineer, Liu Liu, Tong Zhang
2025	A	`conf`	SAGE: Saliency-Aware Grouping for Efficient Mapping of LLMs on Analog Compute-in-Memory. ICCAD Yayue Hou, Zhenyu Liu, Garrett Gagnon, Hsinyu Tsai, Kaoutar El Maghraoui, Geoffrey W. Burr, Liu Liu
2025	J	`jnl`	SparseST: Exploiting Data Sparsity in Spatiotemporal Modeling and Prediction. CoRR Junfeng Wu, Hadjer Benmeziane, Kaoutar El Maghraoui, Liu Liu, Yinan Wang
2025	—	`conf`	ZipCXL: CXL-based Main Memory Compression at Low Performance Penalty. MEMSYS Asad Ul Haq, Rui Xie, Linsen Ma, Yunhua Fang, Liu Liu, Tong Zhang
2024	J	`jnl`	SmartQuant: CXL-Based AI Model Store in Support of Runtime Configurable Weight Quantization. IEEE Comput. Archit. Lett. Rui Xie, Asad Ul Haq, Linsen Ma, Krystal Sun, Sanchari Sen, Swagath Venkataramani, Liu Liu, Tong Zhang
2024	J	`jnl`	SmartQuant: CXL-based AI Model Store in Support of Runtime Configurable Weight Quantization. CoRR Rui Xie, Asad Ul Haq, Linsen Ma, Krystal Sun, Sanchari Sen, Swagath Venkataramani, Liu Liu, Tong Zhang
2023	—	`conf`	ALCOP: Automatic Load-Compute Pipelining in Deep Learning Compiler for AI-GPUs. MLSys Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie
2023	B	`conf`	Dynamic N: M Fine-Grained Structured Sparse Attention Mechanism. PPoPP Zhaodong Chen, Zheng Qu, Yuying Quan, Liu Liu, Yufei Ding, Yuan Xie
2023	A*	`conf`	ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification. ISCA Siqi Li, Fengbin Tu, Liu Liu, Jilan Lin, Zheng Wang, Yangwook Kang, Yufei Ding, Yuan Xie
2023	J	`jnl`	TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes. IEEE J. Solid State Circuits Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
2022	—	`conf`	A 28nm 15.59µJ/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes. ISSCC Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
2022	A*	`conf`	A one-for-all and ASPLOS Bangyan Wang, Lei Deng, Fei Sun, Guohao Dai, Liu Liu, Yu Wang, Yuan Xie
2022	A*	`conf`	DOTA: detect and omit weak attentions for scalable transformer acceleration. ASPLOS Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie
2022	J	`jnl`	Dynamic N: M Fine-grained Structured Sparse Attention Mechanism. CoRR Zhaodong Chen, Yuying Quan, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie
2022	J	`jnl`	Dynamic Sparse Attention for Scalable Transformer Acceleration. IEEE Trans. Computers Liu Liu, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yufei Ding, Yuan Xie
2022	—	`—`	Elastic Processing and Hardware Architectures for Machine Learning Liu Liu
2022	J	`jnl`	Enabling Data Movement and Computation Pipelining in Deep Learning Compiler. CoRR Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie
2022	A*	`conf`	INSPIRE: in-storage private information retrieval via protocol and architecture co-design. ISCA Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
2021	A*	`conf`	ENMC: Extreme Near-Memory Classification via Approximate Screening. MICRO Liu Liu, Jilan Lin, Zheng Qu, Yufei Ding, Yuan Xie
2021	A	`conf`	Efficient tensor core-based GPU kernels for structured sparsity under reduced precision. SC Zhaodong Chen, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie
2021	J	`jnl`	Transformer Acceleration with Dynamic Sparse Attention. CoRR Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie
2021	J	`jnl`	Π-RT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Vision Applications on Heterogeneous Architectures. Computer Liu Liu, Jie Tang, Shaoshan Liu, Bo Yu, Yuan Xie, Jean-Luc Gaudiot
2020	A*	`conf`	Boosting Deep Neural Network Efficiency with Dual-Module Inference. ICML Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie
2020	J	`jnl`	Computation on Sparse Neural Networks: an Inspiration for Future Hardware. CoRR Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie
2020	A*	`conf`	DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. MICRO Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie
2020	A*	`conf`	INVITED: Computation on Sparse Neural Networks and its Implications for Future Hardware. DAC Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie
2020	J	`jnl`	SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Lei Deng, Yuan Xie, Ling Liang, Guanrui Wang, Liang Chang, Xing Hu, Xin Ma, Liu Liu, Jing Pei, Guoqi Li
2019	—	`conf`	Dynamic Sparse Graph for Efficient Deep Learning. ICLR (Poster) Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie
2019	J	`jnl`	L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Dong Wu, Yuan Xie, Luping Shi
2018	J	`jnl`	Dynamic Sparse Graph for Efficient Deep Learning. CoRR Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie
2018	J	`jnl`	L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. CoRR Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Yuan Xie, Luping Shi
2018	J	`jnl`	PIRT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures. CoRR Liu Liu, Shaoshan Liu, Zhe Zhang, Bo Yu, Jie Tang, Yuan Xie
2017	—	`conf`	Building energy-efficient multi-level cell STT-RAM caches with data compression. ASP-DAC Liu Liu, Ping Chi, Shuangchen Li, Yuanqing Cheng, Yuan Xie
2016	J	`jnl`	CNNLab: a Novel Parallel Framework for Neural Networks using GPU and FPGA-a Practical Study with Trade-off Analysis. CoRR Maohua Zhu, Liu Liu, Chao Wang, Yuan Xie
2016	—	`conf`	Leveraging 3D Technologies for Hardware Security: Opportunities and Challenges. ACM Great Lakes Symposium on VLSI Peng Gu, Shuangchen Li, Dylan C. Stow, Russell Barnes, Liu Liu, Yuan Xie, Eren Kursun
2016	A	`conf`	NVSim-CAM: a circuit-level simulator for emerging nonvolatile memory based content-addressable memory. ICCAD Shuangchen Li, Liu Liu, Peng Gu, Cong Xu, Yuan Xie