Ling Liang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
13
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPDAC | FlexMem: High-Parallel Near-Memory Architecture for Flexible Dataflow in Fully Homomorphic Encryption. | Shangyi Shi, Husheng Han, Jianan Mu, Xinyao Zheng, Ling Liang, Hang Lu, Zidong Du, Xiaowei Li, Xing Hu |
| 2026 | DATE | CHIP-MAP: A Collaborative Optimization Framework for Macro Placement Using Large Language Models. | Yiming Du, Renye Yan, Yunfan Yang, Frank Qu, Jiajun Tan, ZhiYu Zheng, Yiming Gan, Ling Liang, Zongwei Wang, Yimao Cai |
| 2026 | DATE | GMaC: NvCIM Architecture for Parallel Point-based Point Cloud Acceleration via Geometric Mapping and Address-Index Computation. | Yi Gao, Zongwei Wang, Ling Liang, Yimao Cai |
| 2026 | ISCA | DIAMoND: Dynamic Inference for Adaptive Edge MOE with Heterogeneous In-NAND and Near-DRAM Compute Architecture. | Ling Liang, Tianyang Luo, Shuzhang Zhong, Dongxue Zhao, Qichao Ma, Renjie Wei, Jingyu Wang, Meng Li, Guangyu Sun, Zongwei Wang, Yimao Cai |
| 2026 | ISCA | He | Shangyi Shi, Husheng Han, Zhaoxuan Kan, Yinghao Yang, Jianan Mu, Tenghui Hua, Ge Yu, Xinyao Zheng, Ling Liang, Zidong Du, Xing Hu |
| 2026 | ISCAS | A Near-Sensor Image Compression Architecture with RRAM-based Hyperdimensional Encoder for Smart Vision. | Haoyang Gu, Zheng Zhou, Zongwei Wang, Jingshan Li, Zezhi Chen, Ling Liang, Wengao Lu, Yimao Cai |
| 2026 | ISCAS | Efficient LoRA-Based Weight Update Write-Back in 3D NAND Flash for Large Language Models. | Dongxue Zhao, Tianyang Luo, Ling Liang, Zongwei Wang, Yimao Cai |
| 2025 | CVPR | Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients. | Li Lun, Kunyu Feng, Qinglong Ni, Ling Liang, Yuan Wang, Ying Li, Dunshan Yu, Xiaoxin Cui |
| 2025 | DAC | HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference. | Shuzhang Zhong, Yanfan Sun, Ling Liang, Runsheng Wang, Ru Huang, Meng Li |
| 2025 | DATE | FLASH: An Efficient Hardware Accelerator Leveraging Approximate and Sparse FFT for Homomorphic Encryption. | Tengyu Zhang, Yufei Xue, Ling Liang, Zhen Gu, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li |
| 2025 | ICCV | Entropy-Adaptive Diffusion Policy Optimization with Dynamic Step Alignment. | Renye Yan, Jikang Cheng, Yaozhong Gan, Shikun Sun, You Wu, Yunfan Yang, Ling Liang, Jinlong Lin, Yeshuang Zhu, Jie Zhou, Jinchao Zhang, Junliang Xing, Yimao Cai, Ru Huang |
| 2025 | ISCAS | SA-CIM: A 28nm 16Mb RRAM-based Sparsity-Aware Compute-In-Memory Macro for Edge AI Algorithm Processing. | Hao Ding, Zongwei Wang, Jinshan Li, Shigeng Zhao, Heting Gao, Junbo Ao, Ling Liang, Yimao Cai, Ru Huang |
| 2025 | MICRO | Ironman: Accelerating Oblivious Transfer Extension for Privacy-Preserving AI with Near-Memory Processing. | Chenqi Lin, Kang Yang, Tianshi Xu, Ling Liang, Yufei Wang, Zhaohui Chen, Runsheng Wang, Mingyu Gao, Meng Li |
| 2024 | ASPLOS | TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing. | Husheng Han, Xinyao Zheng, Yuanbo Wen, Yifan Hao, Erhu Feng, Ling Liang, Jianan Mu, Xiaqing Li, Tianyun Ma, Pengwei Jin, Xinkai Song, Zidong Du, Qi Guo, Xing Hu |
| 2024 | DAC | A High-Throughput Private Inference Engine Based on 3D Stacked Memory. | Zhaohui Chen, Ling Liang, Qi Liu, Zhirui Li, Fahong Zhang, Yanheng Lu, Zhen Gu |
| 2024 | ICCAD | AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference. | Shuzhang Zhong, Ling Liang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li |
| 2024 | IJCNN | Autoencoder Reconstruction Model for Long-Horizon Exploration. | Renye Yan, You Wu, Yaozhong Gan, Yunfan Yang, Zhaoke Yu, Zongxi Liu, Xin Zhang, Ling Liang, Yimao Cai |
| 2022 | DATE | Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU. | Ling Liang, Zhaodong Chen, Lei Deng, Fengbin Tu, Guoqi Li, Yuan Xie |
| 2022 | ISCA | INSPIRE: in-storage private information retrieval via protocol and architecture co-design. | Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie |
| 2021 | DAC | SEALing Neural Network Models in Encrypted Deep Learning Accelerators. | Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie |
| 2021 | HPCA | SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator. | Xinfeng Xie, Zheng Liang, Peng Gu, Abanti Basak, Lei Deng, Ling Liang, Xing Hu, Yuan Xie |
| 2021 | ICCAD | Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper. | Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla |
| 2020 | ASPLOS | DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. | Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie |
| 2020 | HPCA | HyGCN: A GCN Accelerator with Hybrid Architecture. | Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie |
| 2017 | IECON | A software architecture for energy consumption optimization in location-based mobile applications. | Xiang Yu, Ling Liang, Ruonan Zhou, Roopak Sinha |