Dingbang Liu

According to our database, Dingbang Liu authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A 28-nm 135.19 TOPS/W Bootstrapped-SRAM Compute-in-Memory Accelerator With Layer-Wise Precision and Sparsity.

Wei Mao, Dingbang Liu, Haoxiang Zhou, Fuyi Li, Kai Li, Qiuping Wu, Jiaqi Yang, Quan Cheng, Liuyang Zhang, Hao Yu

IEEE Trans. Circuits Syst. I Regul. Pap., July, 2025

Human attention guided multiagent hierarchical reinforcement learning for heterogeneous agents.

Dingbang Liu, Fenghui Ren, Jun Yan, Guoxin Su, Shohei Kato, Wen Gu, Minjie Zhang

Knowl. Based Syst., 2025

Garbage Collection Does Not Only Collect Garbage: Piggybacking-Style Defragmentation for Deduplicated Backup Storage.

Dingbang Liu, Xiangyu Zou, Tao Lu, Philip Shilane, Wen Xia, Wenxuan Huang, Yanqi Pan, Hao Huang

Proceedings of the Twentieth European Conference on Computer Systems, 2025

A Layer-wised Mixed-Precision CIM Accelerator with Bit-level Sparsity-aware ADCs for NAS-Optimized CNNs.

Haoxiang Zhou, Zikun Wei, Dingbang Liu, Liuyang Zhang, Chenchen Ding, Jiaqi Yang, Wei Mao, Hao Yu

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Scaling Up Multi-Agent Reinforcement Learning: An Extensive Survey on Scalability Issues.

Dingbang Liu, Fenghui Ren, Jun Yan, Guoxin Su, Wen Gu, Shohei Kato

IEEE Access, 2024

Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems.

Dingbang Liu, Shohei Kato, Wen Gu, Fenghui Ren, Jun Yan, Guoxin Su

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

EEPH: An Efficient Extendible Perfect Hashing for Hybrid PMem-DRAM.

Qi Chen, Hao Hu, Cai Deng, Dingbang Liu, Shiyi Li, Bo Tang, Ting Yao, Wen Xia

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

RISC-V based Fully-Parallel SRAM Computing-in-Memory Accelerator with High Hardware Utilization and Data Reuse Rate.

Haoxiang Zhou, Haiqiao Hong, Dingbang Liu, Hang Liu, Yu Xia, Kai Li, Jun Liu, Shaobo Luo, Wei Mao, Hao Yu

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022

An Energy-Efficient Mixed-Bit CNN Accelerator With Column Parallel Readout for ReRAM-Based In-Memory Computing.

Dingbang Liu, Haoxiang Zhou, Wei Mao, Jun Liu, Yuliang Han, Changhai Man, Qiuping Wu, Zhiru Guo, Mingqiang Huang, Shaobo Luo, Mingsong Lv, Quan Chen, Hao Yu

IEEE J. Emerg. Sel. Topics Circuits Syst., 2022

An Energy-Efficient Mixed-Bit ReRAM-based Computing-in-Memory CNN Accelerator with Fully Parallel Readout.

Dingbang Liu, Wei Mao, Haoxiang Zhou, Jun Liu, Qiuping Wu, Haiqiao Hong, Hao Yu

Proceedings of the IEEE Asia Pacific Conference on Circuit and Systems, 2022

2021

Low-Power Computing with Neuromorphic Engineering.

Dingbang Liu, Hao Yu, Yang Chai

Adv. Intell. Syst., 2021

2020

Energy-Efficient Machine Learning Accelerator for Binary Neural Networks.

Wei Mao, Zhihua Xiao, Peng Xu, Hongwei Ren, Dingbang Liu, Shirui Zhao, Fengwei An, Hao Yu

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020