Fangxin Liu - RankMe

124 papers A* 28A 16B 9C 8Misc 1Journal 42Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Accelerating Sparse Transformer Inference on GPU. PPoPP Wenhao Dai, Haodong Deng, Mengfei Rong, Xinyu Yang, Hongyu Liu, Fangxin Liu, Hailong Yang, Qianwen Cao, Qingxiao Sun
2026	B	`conf`	BEEMS: Boosting Machine Vision Efficiency via Computation Graph-Based Memory Smoothing. PPoPP Hanjing Shen, Fangxin Liu, Jian Liu, Li Jiang, Haibing Guan
2026	—	`conf`	BLADE: Boosting LLM Decoding's Communication Efficiency in DRAM-based PIM. ASP-DAC Yilong Zhao, Fangxin Liu, Zongwu Wang, Mingjian Li, Mingxing Zhang, Chixiao Chen, Li Jiang
2026	—	`conf`	EARTH: An Efficient MoE Accelerator with Entropy-Aware Speculative Prefetch and Result Reuse. ASPLOS (2) Fangxin Liu, Ning Yang, Jingkui Yang, Zongwu Wang, Chenyang Guan, Yu Feng, Li Jiang, Haibing Guan
2026	J	`jnl`	HeteroQNN: Enabling Distributed QNN Under Heterogeneous Quantum Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Liqiang Lu, Tianyao Chu, Siwei Tan, Jingwen Leng, Fangxin Liu, Congliang Lang, Yifan Guo, Jianwei Yin
2026	J	`jnl`	HyperOffload: Graph-Driven Hierarchical Memory Management for Large Language Models on SuperNode Architectures. CoRR Fangxin Liu, Qinghua Zhang, Hanjing Shen, Zhibo Liang, Li Jiang, Haibing Guan, Chong Bao, Xuefeng Jin
2026	—	`conf`	Just-in-Time Tokens: Adaptive Token Pacing for Cognitive-Friendly LLM Streaming. CHI Extended Abstracts Hailiang Zhu, Junye Wang, Laixin Xie, Ruofei Ma, Yingbin Sun, Fangxin Liu, Chengbo Zheng, Quan Li
2026	—	`conf`	Nebula: Infinite-Scale 3D Gaussian Splatting in VR via Collaborative Rendering and Accelerated Stereo Rasterization. ASPLOS (2) He Zhu, Zheng Liu, Xingyang Li, Anbang Wu, Jieru Zhao, Fangxin Liu, Yiming Gan, Jingwen Leng, Yu Feng
2026	A*	`conf`	ORANGE: Exploring Ockham's Razor for Neural Rendering by Accelerating 3DGS on NPUs with GEMM-Friendly Blending and Balanced Workloads. HPCA Haomin Li, Yun Liang, Fangxin Liu, Bowen Zhu, Zongwu Wang, Yu Feng, Liqiang Lu, Li Jiang, Haibing Guan
2026	A*	`conf`	SPLATONIC: Architectural Support for 3D Gaussian Splatting SLAM via Sparse Processing. HPCA Xiaotong Huang, He Zhu, Tianrui Ma, Yuxiang Xiong, Fangxin Liu, Zhezhi He, Yiming Gan, Zihan Liu, Jingwen Leng, Yu Feng, Minyi Guo
2026	A*	`conf`	SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization. AAAI Zhixiong Zhao, Fangxin Liu, Junjie Wang, Chenyang Guan, Zongwu Wang, Li Jiang, Haibing Guan
2026	—	`conf`	TFLOP: Towards Energy-Efficient LLM Inference An FPGA-Affinity Accelerator with Unified LUT-based OPtimization. ASP-DAC Zongwu Wang, Zhongyi Tang, Fangxin Liu, Chenyang Guan, Li Jiang, Haibing Guan
2026	—	`conf`	When Low-Rank Meets Mixed-Precision: Training-Free Joint Compression for Efficient LLM Inference. ASP-DAC Junjie Wang, Fangxin Liu, Jinqi Zhu, Chenyang Guan, Tao Yang, Li Jiang, Haibing Guan
2025	J	`jnl`	A Sub- 10 μs In-Memory-Search Collision Detection Accelerator Based on RRAM-TCAMs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jiahao Sun, Yijian Zhang, Yuzhuo Liu, Fangxin Liu, Li Jiang, Rui Yang
2025	A*	`conf`	ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads. DAC Fangxin Liu, Haomin Li, Zongwu Wang, Bo Zhang, Mingzhe Zhang, Shoumeng Yan, Li Jiang, Haibing Guan
2025	J	`jnl`	ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads. CoRR Fangxin Liu, Haomin Li, Zongwu Wang, Bo Zhang, Mingzhe Zhang, Shoumeng Yan, Li Jiang, Haibing Guan
2025	—	`conf`	ASDR: Exploiting Adaptive Sampling and Data Reuse for CIM-based Instant Neural Rendering. ASPLOS (3) Fangxin Liu, Haomin Li, Bowen Zhu, Zongwu Wang, Zhuoran Song, Haibing Guan, Li Jiang
2025	J	`jnl`	ASDR: Exploiting Adaptive Sampling and Data Reuse for CIM-based Instant Neural Rendering. CoRR Fangxin Liu, Haomin Li, Bowen Zhu, Zongwu Wang, Zhuoran Song, Habing Guan, Li Jiang
2025	A*	`conf`	ASTER: Adaptive Dynamic Layer-Skipping for Efficient Transformer Inference via Markov Decision Process. ACM Multimedia Fangxin Liu, Junjie Wang, Ning Yang, Zongwu Wang, Junping Zhao, Li Jiang, Haibing Guan
2025	A*	`conf`	ArbiterQ: Improving QNN Convergency and Accuracy by Applying Personalized Model on Heterogeneous Quantum Devices. DAC Tianyao Chu, Siwei Tan, Liqiang Lu, Jingwen Leng, Fangxin Liu, Congliang Lang, Yifan Guo, Jianwei Yin
2025	J	`jnl`	Attack and Defense: Enhancing Robustness of Binary Hyper-Dimensional Computing. ACM Trans. Archit. Code Optim. Haomin Li, Fangxin Liu, Zongwu Wang, Ning Yang, Shiyuan Huang, Xiaoyao Liang, Haibing Guan, Li Jiang
2025	A*	`conf`	BLOOM: Bit-Slice Framework for DNN Acceleration with Mixed-Precision. DAC Fangxin Liu, Ning Yang, Zongwu Wang, Xuanpeng Zhu, Haidong Yao, Xiankui Xiong, Li Jiang, Haibing Guan
2025	A*	`conf`	CROSS: Compiler-Driven Optimization of Sparse DNNs Using Sparse/Dense Computation Kernels. HPCA Fangxin Liu, Shiyuan Huang, Ning Yang, Zongwu Wang, Haomin Li, Li Jiang
2025	J	`jnl`	DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies. CoRR Ning Yang, Fangxin Liu, Junjie Wang, Tao Yang, Kang Liu, Haibing Guan, Li Jiang
2025	A	`conf`	DevTrace: Lightweight Plug-In Design for PCIe Transaction Tracing in Edge Intelligence Workloads. ICCAD Zhibai Huang, Kailiang Xu, Zhixiang Wei, Yinghao Deng, Chen Chen, Yun Wang, Fangxin Liu, Mingyuan Xia, Zhengwei Qi
2025	J	`jnl`	Dual-branch vision transformer for low-resolution action recognition. Multim. Tools Appl. Ruixin Chen, Chenqiang Gao, Zhuolin Tan, Fangxin Liu, Jiayi Yu, Xinlin Li
2025	A	`conf`	EVASION: Efficient KV CAche CompreSsion vIa PrOduct QuaNtization. DATE Zongwu Wang, Fangxin Liu, Peng Xu, Qingxiao Sun, Junping Zhao, Li Jiang
2025	—	`conf`	Exploiting Differential-Based Data Encoding for Enhanced Query Efficiency. ASP-DAC Fangxin Liu, Zongwu Wang, Peng Xu, Shiyuan Huang, Li Jiang
2025	A*	`conf`	FATE: Boosting the Performance of Hyper-Dimensional Computing Intelligence with Flexible Numerical DAta TypE. ISCA Haomin Li, Fangxin Liu, Yichi Chen, Zongwu Wang, Shiyuan Huang, Ning Yang, Dongxu Lyu, Li Jiang
2025	—	`conf`	FlexQuant: A Flexible and Efficient Dynamic Precision Switching Framework for LLM Quantization. EMNLP (Findings) Fangxin Liu, Zongwu Wang, JinHong Xia, Junping Zhao, Shouren Zhao, Jinjin Li, Jian Liu, Li Jiang, Haibing Guan
2025	J	`jnl`	FlexQuant: A Flexible and Efficient Dynamic Precision Switching Framework for LLM Quantization. CoRR Fangxin Liu, Zongwu Wang, JinHong Xia, Junping Zhao, Jian Liu, Haibing Guan, Li Jiang
2025	J	`jnl`	Flexible Operator Fusion for Fast Sparse Transformer with Diverse Masking on GPU. CoRR Wenhao Dai, Haodong Deng, Mengfei Rong, Xinyu Yang, Hongyu Liu, Fangxin Liu, Hailong Yang, Weifeng Liu, Qingxiao Sun
2025	A*	`conf`	GSArch: Breaking Memory Barriers in 3D Gaussian Splatting Training via Architectural Support. HPCA Houshu He, Gang Li, Fangxin Liu, Li Jiang, Xiaoyao Liang, Zhuoran Song
2025	J	`jnl`	HyCTor: A Hybrid CNN-Transformer Network Accelerator With Flexible Weight/Output Stationary Dataflow and Multicore Extension. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shuai Yuan, Weifeng He, Zhenhua Zhu, Fangxin Liu, Zhuoran Song, Guohao Dai, Guanghui He, Yanan Sun
2025	A	`conf`	HyperDyn: Dynamic Dimensional Masking for Efficient Hyper-Dimensional Computing. DATE Fangxin Liu, Haomin Li, Zongwu Wang, Dongxu Lyu, Li Jiang
2025	—	`conf`	Irregular Sparsity-Enabled Search-in-Memory Engine for Accelerating Spiking Neural Networks. APPT Fangxin Liu, Zongwu Wang, Ning Yang, Haomin Li, Tao Yang, Haibing Guan, Li Jiang
2025	J	`jnl`	LCD: Advancing Extreme Low-Bit Clustering for Large Language Models via Knowledge Distillation. CoRR Fangxin Liu, Ning Yang, Junping Zhao, Tao Yang, Haibing Guan, Li Jiang
2025	J	`jnl`	LaMoS: Enabling Efficient Large Number Modular Multiplication through SRAM-based CiM Acceleration. CoRR Haomin Li, Fangxin Liu, Chenyang Guan, Zongwu Wang, Li Jiang, Haibing Guan
2025	A*	`conf`	MILLION: MasterIng Long-Context LLM Inference Via Outlier-Immunized KV Product QuaNtization. DAC Zongwu Wang, Peng Xu, Fangxin Liu, Yiwei Hu, Qingxiao Sun, Gezi Li, Cheng Li, Xuan Wang, Li Jiang, Haibing Guan
2025	J	`jnl`	MILLION: Mastering Long-Context LLM Inference Via Outlier-Immunized KV Product Quantization. CoRR Zongwu Wang, Peng Xu, Fangxin Liu, Yiwei Hu, Qingxiao Sun, Gezi Li, Cheng Li, Xuan Wang, Li Jiang, Haibing Guan
2025	J	`jnl`	Nebula: Enable City-Scale 3D Gaussian Splatting in Virtual Reality via Collaborative Rendering and Accelerated Stereo Rasterization. CoRR He Zhu, Zheng Liu, Xingyang Li, Anbang Wu, Jieru Zhao, Fangxin Liu, Yiming Gan, Jingwen Leng, Yu Feng
2025	—	`conf`	NeuronQuant: Accurate and Efficient Post-Training Quantization for Spiking Neural Networks. ASP-DAC Haomin Li, Fangxin Liu, Zewen Sun, Zongwu Wang, Shiyuan Huang, Ning Yang, Li Jiang
2025	A	`conf`	OPS: Outlier-Aware Precision-Slice Framework for LLM Acceleration. DATE Fangxin Liu, Ning Yang, Zongwu Wang, Xuanpeng Zhu, Haidong Yao, Xiankui Xiong, Qi Sun, Li Jiang
2025	A*	`conf`	PISA: Efficient Precision-Slice Framework for LLMs with Adaptive Numerical Type. DAC Ning Yang, Zongwu Wang, Qingxiao Sun, Liqiang Lu, Fangxin Liu
2025	A	`conf`	PLAIN: Leveraging High Internal Bandwidth in PIM for Accelerating Large Language Model Inference via Mixed-Precision Quantization. ICCAD Yiwei Hu, Fangxin Liu, Zongwu Wang, Yilong Zhao, Tao Yang, Li Jiang, Haibing Guan
2025	—	`conf`	PUSHtap: PIM-based In-Memory HTAP with Unified Data Storage Format. ASPLOS (3) Yilong Zhao, Mingyu Gao, Huanchen Zhang, Fangxin Liu, Gongye Chen, He Xian, Haibing Guan, Li Jiang
2025	J	`jnl`	PUSHtap: PIM-based In-Memory HTAP with Unified Data Storage Format. CoRR Yilong Zhao, Mingyu Gao, Huanchen Zhang, Fangxin Liu, Gongye Chen, He Xian, Haibing Guan, Li Jiang
2025	A	`conf`	QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations. ICCAD Zhixiong Zhao, Haomin Li, Fangxin Liu, Yuncheng Lu, Zongwu Wang, Tao Yang, Li Jiang, Haibing Guan
2025	J	`jnl`	QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations. CoRR Zhixiong Zhao, Haomin Li, Fangxin Liu, Yuncheng Lu, Zongwu Wang, Tao Yang, Li Jiang, Haibing Guan
2025	A*	`conf`	Qtenon: Towards Low-Latency Architecture Integration for Accelerating Hybrid Quantum-Classical Computing. ISCA Chenning Tao, Liqiang Lu, Size Zheng, Li-Wen Chang, Minghua Shen, Hanyu Zhang, Fangxin Liu, Kaiwen Zhou, Jianwei Yin
2025	J	`jnl`	RTSA: A Run-Through Sparse Attention Framework for Video Transformer. IEEE Trans. Computers Xuhang Wang, Zhuoran Song, Chunyu Qi, Fangxin Liu, Naifeng Jing, Li Jiang, Xiaoyao Liang
2025	—	`conf`	STAMP: Accelerating Second-Order DNN Training Via ReRAM-Based Processing-in-Memory Architecture. APPT Yilong Zhao, Fangxin Liu, Mingyu Gao, Xiaoyao Liang, Qidong Tang, Chengyang Gu, Tao Yang, Naifeng Jing, Li Jiang
2025	J	`jnl`	STCO: Enhancing Training Efficiency via Structured Sparse Tensor Compilation Optimization. ACM Trans. Design Autom. Electr. Syst. Shiyuan Huang, Fangxin Liu, Tian Li, Zongwu Wang, Ning Yang, Haomin Li, Li Jiang
2025	J	`jnl`	SpMMPlu-Pro: An Enhanced Compiler Plug-In for Efficient SpMM and Sparsity Propagation Algorithm. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shiyuan Huang, Fangxin Liu, Tao Yang, Zongwu Wang, Ning Yang, Li Jiang
2025	J	`jnl`	SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization. CoRR Zhixiong Zhao, Fangxin Liu, Junjie Wang, Chenyang Guan, Zongwu Wang, Li Jiang, Haibing Guan
2025	J	`jnl`	Splatonic: Architecture Support for 3D Gaussian Splatting SLAM via Sparse Processing. CoRR Xiaotong Huang, He Zhu, Tianrui Ma, Yuxiang Xiong, Fangxin Liu, Zhezhi He, Yiming Gan, Zihan Liu, Jingwen Leng, Yu Feng, Minyi Guo
2025	A	`conf`	TAIL: Exploiting Temporal Asynchronous Execution for Efficient Spiking Neural Networks with Inter-Layer Parallelism. DATE Haomin Li, Fangxin Liu, Zongwu Wang, Dongxu Lyu, Shiyuan Huang, Ning Yang, Qi Sun, Zhuoran Song, Li Jiang
2025	A*	`conf`	Vegapunk: Accurate and Fast Decoding for Quantum LDPC Codes with Online Hierarchical Algorithm and Sparse Accelerator. MICRO Kaiwen Zhou, Liqiang Lu, Debin Xiang, Chenning Tao, Anbang Wu, Jingwen Leng, Fangxin Liu, Mingshuai Chen, Jianwei Yin
2025	J	`jnl`	gCom: Fine-grained Compressors in Graphics Memory of Mobile GPU. ACM Trans. Archit. Code Optim. Dongjie Tang, Zijun Wu, Yun Wang, Yicheng Gu, Fangxin Liu, Zhengwei Qi
2024	—	`conf`	CMC: Video Transformer Acceleration via CODEC Assisted Matrix Condensing. ASPLOS (2) Zhuoran Song, Chunyu Qi, Fangxin Liu, Naifeng Jing, Xiaoyao Liang
2024	A*	`conf`	COMPASS: SRAM-Based Computing-in-Memory SNN Accelerator with Adaptive Spike Speculation. MICRO Zongwu Wang, Fangxin Liu, Ning Yang, Shiyuan Huang, Haomin Li, Li Jiang
2024	A*	`conf`	EOS: An Energy-Oriented Attack Framework for Spiking Neural Networks. DAC Ning Yang, Fangxin Liu, Zongwu Wang, Haomin Li, Zhuoran Song, Songwen Pei, Li Jiang
2024	J	`jnl`	ERA-BS: Boosting the Efficiency of ReRAM-Based PIM Accelerator With Fine-Grained Bit-Level Sparsity. IEEE Trans. Computers Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Xiaoyao Liang, Li Jiang
2024	J	`jnl`	Exploiting Temporal-Unrolled Parallelism for Energy-Efficient SNN Acceleration. IEEE Trans. Parallel Distributed Syst. Fangxin Liu, Zongwu Wang, Wenbo Zhao, Ning Yang, Yongbiao Chen, Shiyuan Huang, Haomin Li, Tao Yang, Songwen Pei, Xiaoyao Liang, Li Jiang
2024	C	`conf`	HOLES: Boosting Large Language Models Efficiency with Hardware-Friendly Lossless Encoding. ICCD Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Li Jiang
2024	B	`conf`	HyperFeel: An Efficient Federated Learning Framework Using Hyperdimensional Computing. ASPDAC Haomin Li, Fangxin Liu, Yichi Chen, Li Jiang
2024	A*	`conf`	INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding. DAC Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Haomin Li, Shiyuan Huang, Zhuoran Song, Songwen Pei, Li Jiang
2024	A	`conf`	LowPASS: A Low power PIM-based accelerator with Speculative Scheme for SNNs. ISLPED Fangxin Liu, Shiyuan Huang, Longyu Zhao, Li Jiang, Zongwu Wang
2024	C	`conf`	Ninja: A Hardware Assisted System for Accelerating Nested Address Translation. ICCD Longyu Zhao, Zongwu Wang, Fangxin Liu, Li Jiang
2024	B	`conf`	PAAP-HD: PIM-Assisted Approximation for Efficient Hyper-Dimensional Computing. ASPDAC Fangxin Liu, Haomin Li, Ning Yang, Yichi Chen, Zongwu Wang, Tao Yang, Li Jiang
2024	C	`conf`	PS4: A Low Power SNN Accelerator with Spike Speculative Scheme. ICCD Zongwu Wang, Fangxin Liu, Xin Tang, Li Jiang
2024	C	`conf`	Performance Analysis of ASTARS-Assisted Uplink Communication Networks. APCC Fangxin Liu, Yingjie Pei, Xuefei Zhang, Xiaofeng Tao
2024	J	`jnl`	Phantom: Constraining Generative Artificial Intelligence Models for Practical Domain Specific Peripherals Trace Synthesizing. CoRR Zhibai Huang, Yihan Shen, Yongchen Xie, Zhixiang Wei, Yun Wang, Fangxin Liu, Tao Song, Zhengwei Qi
2024	A	`conf`	RTSA: An RRAM-TCAM based In-Memory-Search Accelerator for Sub-100 µs Collision Detection. DATE Jiahao Sun, Fangxin Liu, Yijian Zhang, Li Jiang, Rui Yang
2024	A*	`conf`	SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding. HPCA Fangxin Liu, Ning Yang, Haomin Li, Zongwu Wang, Zhuoran Song, Songwen Pei, Li Jiang
2024	A*	`conf`	SRender: Boosting Neural Radiance Field Efficiency via Sensitivity-Aware Dynamic Precision Rendering. MICRO Zhuoran Song, Houshu He, Fangxin Liu, Yifan Hao, Xinkai Song, Li Jiang, Xiaoyao Liang
2024	A	`conf`	Sava: A Spatial- and Value-Aware Accelerator for Point Cloud Transformer. DATE Xueyuan Liu, Zhuoran Song, Xiang Liao, Xing Li, Tao Yang, Fangxin Liu, Xiaoyao Liang
2024	J	`jnl`	SearchQ: Search-Based Fine-Grained Quantization for Data-Free Model Compression. IEEE Trans. Circuits Syst. Artif. Intell. Ning Yang, Fangxin Liu, Zongwu Wang, Junping Zhao, Li Jiang
2024	C	`conf`	T-BUS: Taming Bipartite Unstructured Sparsity for Energy-Efficient DNN Acceleration. ICCD Ning Yang, Fangxin Liu, Zongwu Wang, Zhiyan Song, Tao Yang, Li Jiang
2024	B	`conf`	TEAS: Exploiting Spiking Activity for Temporal-wise Adaptive Spiking Neural Networks. ASPDAC Fangxin Liu, Haomin Li, Ning Yang, Zongwu Wang, Tao Yang, Li Jiang
2024	B	`conf`	TSTC: Enabling Efficient Training via Structured Sparse Tensor Compilation. ASPDAC Shiyuan Huang, Fangxin Liu, Tian Li, Zongwu Wang, Haomin Li, Li Jiang
2024	J	`jnl`	TokenRing: An Efficient Parallelism Framework for Infinite-Context LLMs via Bidirectional Communication. CoRR Zongwu Wang, Fangxin Liu, Mingshuai Li, Li Jiang
2024	A*	`conf`	UM-PIM: DRAM-based PIM with Uniform & Shared Memory Space. ISCA Yilong Zhao, Mingyu Gao, Fangxin Liu, Yiwei Hu, Zongwu Wang, Han Lin, Jin Li, He Xian, Hanlin Dong, Tao Yang, Naifeng Jing, Xiaoyao Liang, Li Jiang
2023	J	`jnl`	A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information. IEEE Trans. Parallel Distributed Syst. Zhuoran Song, Wanzhen Liu, Tao Yang, Fangxin Liu, Naifeng Jing, Xiaoyao Liang
2023	J	`jnl`	DTATrans: Leveraging Dynamic Token-Based Quantization With Accuracy Compensation Mechanism for Efficient Transformer Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Tao Yang, Fei Ma, Xiaoling Li, Fangxin Liu, Yilong Zhao, Zhezhi He, Li Jiang
2023	J	`jnl`	DVHN: A Deep Hashing Framework for Large-Scale Vehicle Re-Identification. IEEE Trans. Intell. Transp. Syst. Yongbiao Chen, Sheng Zhang, Fangxin Liu, Chenggang Wu, Kaicheng Guo, Zhengwei Qi
2023	A*	`conf`	HyperAttack: An Efficient Attack Framework for HyperDimensional Computing. DAC Fangxin Liu, Haomin Li, Yongbiao Chen, Tao Yang, Li Jiang
2023	A	`conf`	HyperNode: An Efficient Node Classification Framework Using HyperDimensional Computing. ICCAD Haomin Li, Fangxin Liu, Yichi Chen, Li Jiang
2023	J	`jnl`	PASGCN: An ReRAM-Based PIM Design for GCN With Adaptively Sparsified Graphs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Tao Yang, Dongyue Li, Fei Ma, Zhuoran Song, Yilong Zhao, Jiaxi Zhang, Fangxin Liu, Li Jiang
2023	A	`conf`	PIMPR: PIM-based Personalized Recommendation with Heterogeneous Memory Hierarchy. DATE Tao Yang, Hui Ma, Yilong Zhao, Fangxin Liu, Zhezhi He, Xiaoli Sun, Li Jiang
2023	C	`conf`	PSQ: An Automatic Search Framework for Data-Free Quantization on PIM-based Architecture. ICCD Fangxin Liu, Ning Yang, Li Jiang
2023	A	`conf`	SIMSnn: A Weight-Agnostic ReRAM-based Search-In-Memory Engine for SNN Acceleration. DATE Fangxin Liu, Wenbo Zhao, Zongwu Wang, Xiaokang Yang, Li Jiang
2023	J	`jnl`	SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Fangxin Liu, Zongwu Wang, Yongbiao Chen, Zhezhi He, Tao Yang, Xiaoyao Liang, Li Jiang
2022	J	`jnl`	A systematic study on benchmarking AI inference accelerators. CCF Trans. High Perform. Comput. Zihan Jiang, Jiansong Li, Fangxin Liu, Wanling Gao, Lei Wang, Chuanxin Lan, Fei Tang, Lei Liu, Tao Li
2022	A	`conf`	DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture. DATE Tao Yang, Dongyue Li, Zhuoran Song, Yilong Zhao, Fangxin Liu, Zongwu Wang, Zhezhi He, Li Jiang
2022	Misc	`conf`	DynSNN: A Dynamic Approach to Reduce Redundancy in Spiking Neural Networks. ICASSP Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Fei Dai
2022	A*	`conf`	EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks. DAC Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
2022	—	`conf`	HAWIS: Hardware-Aware Automated WIdth Search for Accurate, Energy-Efficient and Robust Binary Neural Network on ReRAM Dot-Product Engine. ASP-DAC Qidong Tang, Zhezhi He, Fangxin Liu, Zongwu Wang, Yiyuan Zhou, Yinghuan Zhang, Li Jiang
2022	J	`jnl`	IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied Quantization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yilong Zhao, Tao Yang, Yiran Chen, Li Jiang
2022	A*	`conf`	L3E-HD: A Framework Enabling Efficient Ensemble in High-Dimensional Space for Language Tasks. SIGIR Fangxin Liu, Haomin Li, Xiaokang Yang, Li Jiang
2022	A*	`conf`	PIM-DH: ReRAM-based processing-in-memory architecture for deep hashing acceleration. DAC Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Zhezhi He, Rui Yang, Qidong Tang, Tao Yang, Cheng Zhuo, Li Jiang
2022	C	`conf`	Randomize and Match: Exploiting Irregular Sparsity for Energy Efficient Processing in SNNs. ICCD Fangxin Liu, Zongwu Wang, Wenbo Zhao, Yongbiao Chen, Tao Yang, Xiaokang Yang, Li Jiang
2022	J	`jnl`	RePAST: A ReRAM-based PIM Accelerator for Second-order Training of DNN. CoRR Yilong Zhao, Li Jiang, Mingyu Gao, Naifeng Jing, Chengyang Gu, Qidong Tang, Fangxin Liu, Tao Yang, Xiaoyao Liang
2022	A*	`conf`	SATO: spiking neural network acceleration via temporal-oriented dataflow and architecture. DAC Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Tao Yang, Zhezhi He, Xiaokang Yang, Li Jiang
2022	A	`conf`	Self-Terminating Write of Multi-Level Cell ReRAM for Efficient Neuromorphic Computing. DATE Zongwu Wang, Zhezhi He, Rui Yang, Shiquan Fan, Jie Lin, Fangxin Liu, Yueyang Jia, Chenxi Yuan, Qidong Tang, Li Jiang
2022	A*	`conf`	SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks. AAAI Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Li Jiang
2022	B	`conf`	Supervised Contrastive Vehicle Quantization for Efficient Vehicle Retrieval. ICMR Yongbiao Chen, Kaicheng Guo, Fangxin Liu, Yusheng Huang, Zhengwei Qi
2022	B	`conf`	TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval. ICMR Yongbiao Chen, Sheng Zhang, Fangxin Liu, Zhigang Chang, Mang Ye, Zhengwei Qi
2021	J	`jnl`	BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization. ACM Trans. Reconfigurable Technol. Syst. Tao Yang, Zhezhi He, Tengchuan Kou, Qingzheng Li, Qi Han, Haibao Yu, Fangxin Liu, Yun Liang, Li Jiang
2021	A	`conf`	Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator. ICCAD Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Yongbiao Chen, Li Jiang
2021	J	`jnl`	DVHN: A Deep Hashing Framework for Large-scale Vehicle Re-identification. CoRR Yongbiao Chen, Sheng Zhang, Fangxin Liu, Chenggang Wu, Kaicheng Guo, Zhengwei Qi
2021	—	`conf`	IM3A: Boosting Deep Neural Network Efficiency via In-Memory Addressing-Assisted Acceleration. ACM Great Lakes Symposium on VLSI Fangxin Liu, Wenbo Zhao, Zongwu Wang, Tao Yang, Li Jiang
2021	A*	`conf`	Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point. ICCV Fangxin Liu, Wenbo Zhao, Zhezhi He, Yanzhi Wang, Zongwu Wang, Changzhi Dai, Xiaoyao Liang, Li Jiang
2021	A*	`conf`	PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration. DAC Tao Yang, Dongyue Li, Yibo Han, Yilong Zhao, Fangxin Liu, Xiaoyao Liang, Zhezhi He, Li Jiang
2021	C	`conf`	SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network. ICCD Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Tao Yang, Jingnai Feng, Xiaoyao Liang, Li Jiang
2021	J	`jnl`	SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network. CoRR Fangxin Liu, Wenbo Zhao, Yilong Zhao, Zongwu Wang, Tao Yang, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
2021	J	`jnl`	TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval. CoRR Yongbiao Chen, Sheng Zhang, Fangxin Liu, Zhigang Chang, Mang Ye, Zhengwei Qi
2020	J	`jnl`	AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks. CoRR Fangxin Liu, Wenbo Zhao, Yanzhi Wang, Changzhi Dai, Li Jiang
2020	—	`conf`	Characterizing the I/O Pipeline in the Deployment of CNNs on Commercial Accelerators. ISPA/BDCloud/SocialCom/SustainCom Jiansong Li, Zihan Jiang, Fangxin Liu, Xiao Dong, Guangli Li, Xueying Wang, Wei Cao, Lei Liu, Yanzhi Wang, Tao Li, Xiaobing Feng
2019	—	`conf`	ExploreBP: A Simulation Tool for Mobile Browser Energy Optimization. SimuTools Jin Zhang, Xin Wei, Zhen Liu, Fangxin Liu, Tao Li, Tingjuan Lu, Xiaoli Gong
2019	B	`conf`	LHC: A Low-Power Heterogeneous Computing Method on Neural Network Accelerator. ICPADS Fangxin Liu, Kunpeng Xie, Cheng Gong, Shusheng Liu, Ye Lu, Tao Li
2018	—	`conf`	Dynamic Obstacle Avoidance Planning Algorithm for UAV Based on Dubins Path. ICA3PP (2) Na Wang, Fei Dai, Fangxin Liu, Guomin Zhang
2018	—	`conf`	UAV 3D Mobility Model Oriented to Dynamic and Uncertain Environment. ICA3PP (3) Na Wang, Nan Di, Fei Dai, Fangxin Liu
2017	J	`jnl`	A mechanism of topology optimization for underwater acoustic sensor networks based on autonomous underwater vehicles. Int. J. Distributed Sens. Networks Ming He, Fangxin Liu, Zhuang Miao, Huan Zhou, Qiuli Chen