Dingbang Liu

15 papers A* 3A 2Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Improving scalability of multi-agent deep reinforcement learning with suboptimal human knowledge.
Auton. Agents Multi Agent Syst.
Dingbang Liu, Fenghui Ren, Jun Yan, Guoxin Su, Wen Gu, Shohei Kato
2026 A* conf
Reinforcement Learning with Fuzzy Human Attention-Guided Graph for Heterogeneous Multiagent Systems.
AAAI
Dingbang Liu, Fenghui Ren, Jun Yan, Guoxin Su, Shohei Kato, Wen Gu
2025 A conf
A 20.98TOPS/W Energy-Efficient Binary BERT Model on Group Vector Systolic CIM Accelerator.
ISLPED
Dingbang Liu, Ziyi Guan, Qilong Chen, Jingyun Gu, Jiaqi Yang, Kai Li, Wei Mao, Ngai Wong, Changwen Chen, Hao Yu
2025 J jnl
A 28-nm 135.19 TOPS/W Bootstrapped-SRAM Compute-in-Memory Accelerator With Layer-Wise Precision and Sparsity.
IEEE Trans. Circuits Syst. I Regul. Pap.
Wei Mao, Dingbang Liu, Haoxiang Zhou, Fuyi Li, Kai Li, Qiuping Wu, Jiaqi Yang, Quan Cheng, Liuyang Zhang, Hao Yu
2025 — conf
A Layer-wised Mixed-Precision CIM Accelerator with Bit-level Sparsity-aware ADCs for NAS-Optimized CNNs.
ASP-DAC
Haoxiang Zhou, Zikun Wei, Dingbang Liu, Liuyang Zhang, Chenchen Ding, Jiaqi Yang, Wei Mao, Hao Yu
2025 A conf
Garbage Collection Does Not Only Collect Garbage: Piggybacking-Style Defragmentation for Deduplicated Backup Storage.
EuroSys
Dingbang Liu, Xiangyu Zou, Tao Lu, Philip Shilane, Wen Xia, Wenxuan Huang, Yanqi Pan, Hao Huang
2025 J jnl
Human attention guided multiagent hierarchical reinforcement learning for heterogeneous agents.
Knowl. Based Syst.
Dingbang Liu, Fenghui Ren, Jun Yan, Guoxin Su, Shohei Kato, Wen Gu, Minjie Zhang
2024 A* conf
Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems.
NeurIPS
Dingbang Liu, Shohei Kato, Wen Gu, Fenghui Ren, Jun Yan, Guoxin Su
2024 J jnl
Scaling Up Multi-Agent Reinforcement Learning: An Extensive Survey on Scalability Issues.
IEEE Access
Dingbang Liu, Fenghui Ren, Jun Yan, Guoxin Su, Wen Gu, Shohei Kato
2023 A* conf
EEPH: An Efficient Extendible Perfect Hashing for Hybrid PMem-DRAM.
ICDE
Qi Chen, Hao Hu, Cai Deng, Dingbang Liu, Shiyi Li, Bo Tang, Ting Yao, Wen Xia
2023 — conf
RISC-V based Fully-Parallel SRAM Computing-in-Memory Accelerator with High Hardware Utilization and Data Reuse Rate.
AICAS
Haoxiang Zhou, Haiqiao Hong, Dingbang Liu, Hang Liu, Yu Xia, Kai Li, Jun Liu, Shaobo Luo, Wei Mao, Hao Yu
2022 J jnl
An Energy-Efficient Mixed-Bit CNN Accelerator With Column Parallel Readout for ReRAM-Based In-Memory Computing.
IEEE J. Emerg. Sel. Topics Circuits Syst.
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
2022 — conf
An Energy-Efficient Mixed-Bit ReRAM-based Computing-in-Memory CNN Accelerator with Fully Parallel Readout.
APCCAS
Dingbang Liu, Wei Mao, Haoxiang Zhou, Jun Liu, Qiuping Wu, Haiqiao Hong, Hao Yu
2021 J jnl
Low-Power Computing with Neuromorphic Engineering.
Adv. Intell. Syst.
Dingbang Liu, Hao Yu, Yang Chai
2020 — conf
Energy-Efficient Machine Learning Accelerator for Binary Neural Networks.
ACM Great Lakes Symposium on VLSI
Wei Mao, Zhihua Xiao, Peng Xu, Hongwei Ren, Dingbang Liu, Shirui Zhao, Fengwei An, Hao Yu