| 2024 | An FPGA-based Key-Switching Accelerator with Ultra-High Throughput for FHE. | Zhaojun Lu, Peng Xu, Yijie Wang, Yifan Yang, Qidong Chen, Weizong Yu, Gang Qu |
| 2024 | Enabling Robust Inverse Lithography with Rigorous Multi-Objective Optimization. | Yang Luo, Xiaoxiao Liang, Yuzhe Ma |
| 2024 | Efficient High-Fidelity Two-Dimensional Warpage Modeling for Advanced Packaging Analysis. | Shao-Yu Lo, MaoZe Liu, Yao-Wen Chang |
| 2024 | FLOP: A Flexible Memory-Optimized Processor for Parallel Graph Mining on FPGA. | Guoyu Li, Runzhou Zhang, Jun Yu, Kun Wang |
| 2024 | REMNA: Variation-Resilient and Energy-Efficient MLC FeFET Computing-in-Memory Using NAND Flash-Like Read and Adaptive Control. | Taixin Li, Hongtao Zhong, Yixin Xu, Vijaykrishnan Narayanan, Kai Ni, Huazhong Yang, Thomas Kmpfe, Xueqing Li |
| 2024 | AnalogGym: An Open and Practical Testing Suite for Analog Circuit Synthesis. | Jintao Li, Haochang Zhi, Ruiyu Lyu, Wangzhen Li, Zhaori Bi, Keren Zhu, Yanhan Zeng, Weiwei Shan, Changhao Yan, Fan Yang, Yun Li, Xuan Zeng |
| 2024 | The Power of Graph Signal Processing for Chip Placement Acceleration. | Yiting Liu, Hai Zhou, Jia Wang, Fan Yang, Xuan Zeng, Li Shang |
| 2024 | TransLib: An Extensible Graph-Aware Library Framework for Automated Generation of Transformer Operators on FPGA. | Yang Liu, Tianchen Wang, Yuxuan Dong, Zexu Zhang, Shun Li, Jun Yu, Kun Wang |
| 2024 | ConSmax: Hardware-Friendly Alternative Softmax with Learnable Parameters. | Shiwei Liu, Guanchen Tao, Yifei Zou, Derek Chow, Zichen Fan, Kauna Lei, Bangfei Pan, Dennis Sylvester, Gregory Kielian, Mehdi Saligane |
| 2024 | MapTune: Advancing ASIC Technology Mapping via Reinforcement Learning Guided Library Tuning. | Mingju Liu, Daniel Robinson, Yingjie Li, Cunxi Yu |
| 2024 | OpenLLM-RTL: Open Dataset and Benchmark for LLM-Aided Design RTL Generation. | Shang Liu, Yao Lu, Wenji Fang, Mengming Li, Zhiyao Xie |
| 2024 | A comparison on constrain encoding methods for quantum approximate optimization algorithm. | Yiwen Liu, Qingyue Jiao, Yiyu Shi, Ke Wan, Shangjie Guo |
| 2024 | CFIRSTNET: Comprehensive Features for Static IR Drop Estimation with Neural Network. | Yu-Tung Liu, Yu-Hao Cheng, Shao-Yu Wu, Hung-Ming Chen |
| 2024 | Beyond the Yield Barrier: Variational Importance Sampling Yield Analysis. | Yanfang Liu, Lei He, Wei W. Xing |
| 2024 | Dataflow Accelerator Architecture for Autonomous Machine Computing. | Shaoshan Liu, Yuhao Zhu, Bo Yu, Jean-Luc Gaudiot, Guangrong Gao |
| 2024 | RISCSparse: Point Cloud Inference Engine on RISC-V Processor. | Shangran Lin, Xinrui Zhu, Baohui Xie, Tinghuan Chen, Cheng Zhuo, Qi Sun, Bei Yu |
| 2024 | InstantGR: Scalable GPU Parallelization for Global Routing. | Shiju Lin, Liang Xiao, Jinwei Liu, Evangeline F. Y. Young |
| 2024 | LSMR: Synergy Randomness in Liquid State Machine and RRAM-based Analog-digital Accelerator. | Ning Lin, Songqi Wang, Xinyuan Zhang, Shaocong Wang, Yangu He, Woyu Zhang, Bo Wang, Jiankun Li, Mingzi Li, Binbin Cui, Yi Li, Jia Chen, Chunwei Xia, Wei Xuan, Xiaoming Chen, Dashan Shang, Zhongrui Wang |
| 2024 | ALISA: An Adaptive Learned Index Structure for Spatial Data on Solid-State Drives. | Che-Wei Lin, Chun-Feng Wu |
| 2024 | An Effective Analytical Placement Approach to Handle Fence Region Constraint. | Jai-Ming Lin, Wei-Yuan Lin, Yung-Chen Chen, Pin-Yu Chen, Chen-Fa Tsai, De-Shiun Fu, Che-Li Lin |
| 2024 | Voxel-CIM: An Efficient Compute-in-Memory Accelerator for Voxel-based Point Cloud Neural Networks. | Xipeng Lin, Shanshi Huang, Hongwu Jiang |
| 2024 | Partial Differential Equation Acceleration by Exploiting Value Similarity. | Zehua Li, Kaisheng Ma |
| 2024 | CellRejuvo: Rescuing the Aging of 3D NAND Flash Cells with Dense-Sparse Cell Reprogramming. | Han-Yu Liao, Yi-Shen Chen, Jen-Wei Hsieh, Hung-Pin Chen, Yuan-Hao Chang |
| 2024 | Are LLMs Any Good for High-Level Synthesis? | Yuchao Liao, Tosiron Adegbija, Roman Lysecky |
| 2024 | DISC: Exploiting Data Parallelism of Non-Stencil Computations on CGRAs via Dynamic Iteration Scheduling. | Yue Liang, Di Mou, Dajiang Liu |