System-level design space exploration for three-dimensional (3D) SoCs. - Qiaosha Zou; Yibo Chen; Yuan Xie 001; Alan Su (CODES+ISSS, 2011)

3DHLS: Incorporating high-level synthesis in physical planning of three-dimensional (3D) ICs. - Yibo Chen; Guangyu Sun 003; Qiaosha Zou; Yuan Xie 001 (DATE, 2012)

Thermomechanical stress-aware management for 3D IC designs. - Qiaosha Zou; Tao Zhang 032; Eren Kursun; Yuan Xie 001 (DATE, 2013)

Low power multi-level-cell resistive memory design with incomplete data mapping. - Dimin Niu; Qiaosha Zou; Cong Xu 002; Yuan Xie 001 (ICCD, 2013)

Cost-driven 3D design optimization with metal layer reduction technique. - Qiaosha Zou; Jing Xie 006; Yuan Xie 001 (ISQED, 2013)

A cost benefit analysis: The impact of defect clustering on the necessity of pre-bond tests. - Qiaosha Zou; Matt Poremba; Yuan Xie 001 (3DIC, 2014)

Designing vertical bandwidth reconfigurable 3D NoCs for many core systems. - Qiaosha Zou; Jia Zhan; Fen Ge; Matt Poremba; Yuan Xie 001 (3DIC, 2014)

3DLAT: TSV-based 3D ICs crosstalk minimization utilizing Less Adjacent Transition code. - Qiaosha Zou; Dimin Niu; Yan Cao; Yuan Xie 001 (ASP-DAC, 2014)

TSV power supply array electromigration lifetime analysis in 3D ICS. - Qiaosha Zou; Tao Zhang 032; Cong Xu 002; Yuan Xie 001 (ACM Great Lakes Symposium on VLSI, 2014)

Compact models and model standard for 2.5D and 3D integration. - Qiaosha Zou; Yuan Xie 001 (SLIP, 2014)

Heterogeneous architecture design with emerging 3D and non-volatile memory technologies. - Qiaosha Zou; Matthew Poremba; Rui He; Wei Yang; Junfeng Zhao 003; Yuan Xie 001 (ASP-DAC, 2015)

Pinatubo: a processing-in-memory architecture for bulk bitwise operations in emerging non-volatile memories. - Shuangchen Li; Cong Xu 002; Qiaosha Zou; Jishen Zhao; Yu Lu; Yuan Xie 001 (DAC, 2016)

Overview of 3-D Architecture Design Opportunities and Techniques. - Jishen Zhao; Qiaosha Zou; Yuan Xie 001 (IEEE Des. Test, 2017)

Thermomechanical Stress-Aware Management for 3-D IC Designs. - Qiaosha Zou; Eren Kursun; Yuan Xie 001 (IEEE Trans. Very Large Scale Integr. Syst., 2017)

A Communication-Aware DNN Accelerator on ImageNet Using In-Memory Entry-Counting Based Algorithm-Circuit-Architecture Co-Design in 65-nm CMOS. - Haozhe Zhu; Chixiao Chen; Shiwei Liu 002; Qiaosha Zou; Mingyu Wang 001; Lihua Zhang; Xiaoyang Zeng; Chuanjin Richard Shi (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Systolic-Array Deep-Learning Acceleration Exploring Pattern-Indexed Coordinate-Assisted Sparsity for Real-Time On-Device Speech Processing. - Shiwei Liu 002; Zihao Zhao; Yanhong Wang; Qiaosha Zou; Yiyun Zhang; Chuanjin Richard Shi (ACM Great Lakes Symposium on VLSI, 2021)

Single-Pass On-Line Event Detection in Twitter Streams. - Xingfa Qiu; Qiaosha Zou; Chuanjin Richard Shi (ICMLC, 2021)

The Spike Gating Flow: A Hierarchical Structure Based Spiking Neural Network for Online Gesture Recognition. - Zihao Zhao; Yanhong Wang; Qiaosha Zou; Tie Xu; Fangbo Tao; Jiansong Zhang 001; Xiaoan Wang; Chuanjin Richard Shi; Junwen Luo; Yuan Xie 001 (CoRR, 2022)

SAIL: A Deep-Learning-Based System for Automatic Gait Assessment From TUG Videos. - Yanhong Wang; Qiaosha Zou; Yanmin Tang; Qing Wang; Jing Ding; Xin Wang; Chuanjin Richard Shi (IEEE Trans. Hum. Mach. Syst., 2022)

Augmenting aspect-level sentiment classification with distance-related local context input. - Yongchuan Dong; Qiaosha Zou; Chuanjin Richard Shi (J. Supercomput., 2023)

AutoMap: Automatic Mapping of Neural Networks to Deep Learning Accelerators for Edge Devices. - Yanhong Wang; Zihao Zhao; Xu Jin; Haotian Zheng; Maohua Nie; Qiaosha Zou; Chuanjin Richard Shi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Accelerating Distributed GNN Training by Codes. - Yanhong Wang; Tianchan Guan; Dimin Niu; Qiaosha Zou; Hongzhong Zheng; Chuanjin Richard Shi; Yuan Xie 001 (IEEE Trans. Parallel Distributed Syst., 2023)

Frequency Adaptive Normalization For Non-stationary Time Series Forecasting. - Weiwei Ye; Songgaojun Deng; Qiaosha Zou; Ning Gui (NeurIPS, 2024)

BAP: Bilateral asymptotic pruning for optimizing CNNs on image tasks. - Jingfei Chang; Liping Tao; Bo Lyu; Xiangming Zhu 001; Shanyun Liu; Qiaosha Zou; Hongyang Chen (Inf. Sci., 2024)

Optimization of IoUT Systems: A Hierarchical Federated Transfer Learning Approach Based on UAV Computation Offloading. - Jian Hou 002; Congcong Yang; Qiaosha Zou; Junkai Chen; Xiaotong Nie (ICIC (4), 2025)

Personalized Incentive Mechanism in Federated Learning via Variational Expectation Maximization. - Xianyu Luo; Jian Hou 002; Yuliang Zhang; Shuyun Luo; Qiaosha Zou (ICIC (10), 2025)

A Workload-Balance-Aware Accelerator Enabling Dense-to-Arbitrary-Sparse Neural Networks. - Zihao Zhao; Yanhong Wang; Xu Jin; Haotian Zheng; Maohua Nie; Longfei Gou; Junmin He; Yongchuan Dong; Qiaosha Zou; Yiyun Zhang; C.-J. Richard Shi (ACM Trans. Embed. Comput. Syst., 2025)