Atomlayer: a universal reRAM-based CNN accelerator with atomic layer computation. - Ximing Qiao; Xiong Cao; Huanrui Yang; Linghao Song; Hai Li 001 (DAC, 2018)

Defending Neural Backdoors via Generative Distribution Modeling. - Ximing Qiao; Yukun Yang 001; Hai Li 001 (NeurIPS, 2019)

Resistive Memory-Based In-Memory Computing: From Device and Large-Scale Integration System Perspectives. - Bonan Yan; Bing Li 017; Ximing Qiao; Cheng-Xin Xue; Meng-Fan Chang; Yiran Chen 001; Hai Helen Li (Adv. Intell. Syst., 2019)

Neuromorphic Computing Systems: From CMOS To Emerging Nonvolatile Memory. - Chaofei Yang; Ximing Qiao; Yiran Chen 001 (IPSJ Trans. Syst. LSI Des. Methodol., 2019)

On Provable Backdoor Defense in Collaborative Learning. - Ximing Qiao; Yuhua Bai; Siping Hu; Ang Li 005; Yiran Chen 001; Hai Li 001 (CoRR, 2021)

Learning and Compositionality: a Unification Attempt via Connectionist Probabilistic Programming. - Ximing Qiao; Hai Li 001 (CoRR, 2022)

Study on the Characteristics of Liquid Crystal-based Terahertz Metadevices in Wireless Communication Circuits. - Yanchun Shen; Ximing Qiao; Zhiwang Zhong; Hongyu Sheng (AISNS, 2023)

On a New Type of Neural Computation for Probabilistic Symbolic Reasoning. - Ximing Qiao; Hai Li 001 (IJCNN, 2023)

Toward Trustworthy Machine Learning with Blackbox and Whitebox Methods. - Ximing Qiao (2023)