Energy-Efficient Machine Learning Accelerator for Binary Neural Networks. - Wei Mao 002; Zhihua Xiao; Peng Xu; Hongwei Ren; Dingbang Liu; Shirui Zhao; Fengwei An; Hao Yu 001 (ACM Great Lakes Symposium on VLSI, 2020)

Low-Power Computing with Neuromorphic Engineering. - Dingbang Liu; Hao Yu 001; Yang Chai (Adv. Intell. Syst., 2021)

An Energy-Efficient Mixed-Bit ReRAM-based Computing-in-Memory CNN Accelerator with Fully Parallel Readout. - Dingbang Liu; Wei Mao 002; Haoxiang Zhou; Jun Liu; Qiuping Wu; Haiqiao Hong; Hao Yu 001 (APCCAS, 2022)

An Energy-Efficient Mixed-Bit CNN Accelerator With Column Parallel Readout for ReRAM-Based In-Memory Computing. - Dingbang Liu; Haoxiang Zhou; Wei Mao 002; Jun Liu; Yuliang Han; Changhai Man; Qiuping Wu; Zhiru Guo; Mingqiang Huang; Shaobo Luo; Mingsong Lv; Quan Chen 007; et al. (IEEE J. Emerg. Sel. Topics Circuits Syst., 2022)

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 024; Jun Liu; Shaobo Luo; Wei Mao 002; Hao Yu 001 (AICAS, 2023)

EEPH: An Efficient Extendible Perfect Hashing for Hybrid PMem-DRAM. - Qi Chen; Hao Hu; Cai Deng; Dingbang Liu; Shiyi Li; Bo Tang 016; Ting Yao; Wen Xia (ICDE, 2023)

Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems. - Dingbang Liu; Shohei Kato; Wen Gu; Fenghui Ren; Jun Yan 005; Guoxin Su (NeurIPS, 2024)

Scaling Up Multi-Agent Reinforcement Learning: An Extensive Survey on Scalability Issues. - Dingbang Liu; Fenghui Ren; Jun Yan 005; Guoxin Su; Wen Gu; Shohei Kato (IEEE Access, 2024)

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 002; Hao Yu 001 (ASP-DAC, 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 (EuroSys, 2025)

Human attention guided multiagent hierarchical reinforcement learning for heterogeneous agents. - Dingbang Liu; Fenghui Ren; Jun Yan 005; Guoxin Su; Shohei Kato; Wen Gu; Minjie Zhang (Knowl. Based Syst., 2025)

A 28-nm 135.19 TOPS/W Bootstrapped-SRAM Compute-in-Memory Accelerator With Layer-Wise Precision and Sparsity. - Wei Mao 002; Dingbang Liu; Haoxiang Zhou; Fuyi Li; Kai Li 024; Qiuping Wu; Jiaqi Yang; Quan Cheng; Liuyang Zhang; Hao Yu 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)