| 2026 | AAAI | D2 Prune: Sparsifying Large Language Models via Dual Taylor Expansion and Attention Distribution Awareness. | Lang Xiong, Ning Liu, Ao Ren, Yuheng Bai, Haining Fang, Binyan Zhang, Zhe Jiang, Yujuan Tan, Duo Liu |
| 2026 | AAAI | HitKV: Activation Frequency Knows Which Tokens Are Important. | Sanle Zhao, Yujuan Tan, Jing Yu, Zhuoxin Bai, Yue Niu, Jiayi Guo, Zongjie Wang, Ao Ren |
| 2025 | CLUSTER | RAN: Accelerating Data Repair with Available Nodes in Erasure-Coded Storage. | Canghai Yang, Kan Zhong, Yujuan Tan, Ao Ren, Duo Liu |
| 2025 | DAC | LIO-DPC: Accurate and Fast LiDAR-Inertial Odometry with Dynamic Pose Chain. | Yuexin Mu, Ao Ren, Duo Liu, Zihao Zhang, Haojie Lu, Longyi Zhou, Huachen Tan, Kan Zhong, Yujuan Tan, Chaoxia Qin |
| 2025 | EuroPar | CoSF: A | Wei Li, Ao Ren, Qingqiu Lan, Haining Fang, Zhenyu Wang, Yujuan Tan, Kan Zhong, Duo Liu |
| 2025 | EuroPar | Cocache: An Accurate and Low-Overhead Dynamic Caching Method for GNNs. | Zhaoyang Zeng, Yujuan Tan, Jiali Li, Zhuoxin Bai, Jun Liu, Kan Zhong, Duo Liu, Ao Ren |
| 2025 | ICASSP | MPNAS: Multimodal Sentiment Analysis Pruning via Neural Architecture Search. | Binyan Zhang, Ao Ren, Zihao Zhang, Moming Duan, Duo Liu, Yujuan Tan, Kan Zhong |
| 2025 | ICCD | CAST: An Efficient Framework for Schedules Performance Prediction Based on Compact ASTs. | Qingqiu Lan, Ao Ren, Zhenyu Wang, Wei Li, Hongbin Zhu, Yujuan Tan, Duo Liu, Kan Zhong, Chaoxia Qin |
| 2025 | ICCD | DualSpar: A Dual-Granularity Memory Framework with Adaptive Sparsity for Efficient LLM Inference. | Yujuan Tan, Jiayi Guo, Zhuoxin Bai, Sanle Zhao, Yujiao Wang, Zongjie Wang, Ao Ren, Kan Zhong, Lin Huang, Jun Liu |
| 2025 | ICPADS | FASP: A Fast and Accurate Framework for Schedule Performance Evaluation. | Qingqiu Lan, Ao Ren, Zhenyu Wang, Wei Li, Hongbin Zhu, Yujuan Tan, Duo Liu, Kan Zhong, Chaoxia Qin |
| 2024 | ACCV | VIFA: An Efficient Visible and Infrared Image Fusion Architecture for Multi-task Applications via Continual Learning. | Jiaxing Shi, Ao Ren, Wei Zhuang, Yang Hua, ZhiYong Qin, Zhenyu Wang, Yang Song, Yujuan Tan, Duo Liu |
| 2024 | ACML | Rethinking Literary Plagiarism in LLMs through the Lens of Copyright Laws. | Huachen Tan, Moming Duan, Duo Liu, Haojie Lu, Yuexin Mu, Longyi Zhou, Ao Ren, Yujuan Tan, Kan Zhong |
| 2024 | DAC | FinerDedup: Sifting Fingerprints for Efficient Data Deduplication on Mobile Devices. | Xianzhang Chen, Xingjie Zhou, Wei Li, Xi Yu, Duo Liu, Yujuan Tan, Ao Ren |
| 2024 | ICCAD | RACI: A Resource-Aware Cooperative Inference Framework on Heterogeneous Edge Devices. | Zhenyu Wang, Ao Ren, Duo Liu, Haining Fang, Jiaxing Shi, Yujuan Tan, Xianzhang Chen |
| 2024 | ICPP | DPC: DPU-accelerated High-Performance File System Client. | Kan Zhong, Zhiwang Yu, Qiao Li, Xianqiang Luo, Linbo Long, Yujuan Tan, Ao Ren, Duo Liu |
| 2024 | ISCAS | An FPGA-based kNN Seach Accelerator for point cloud registration. | Chengliang Wang, Zhetong Huang, Ao Ren, Xun Zhang |
| 2023 | DAC | IFHE: Intermediate-Feature Heterogeneity Enhancement for Image Synthesis in Data-Free Knowledge Distillation. | Yi Chen, Ning Liu, Ao Ren, Tao Yang, Duo Liu |
| 2023 | DAC | Optimizing the Performance of NDP Operations by Retrieving File Semantics in Storage. | Lin Li, Xianzhang Chen, Jiali Li, Jiapin Wang, Duo Liu, Yujuan Tan, Ao Ren |
| 2023 | DAC | HBP: Hierarchically Balanced Pruning and Accelerator Co-Design for Efficient DNN Inference. | Ao Ren, Yuhao Wang, Tao Zhang, Jiaxing Shi, Duo Liu, Xianzhang Chen, Yujuan Tan, Yuan Xie |
| 2023 | ICA3PP | An Efficient Scheduling Algorithm for Multi-mode Tasks on Near-Data Processing SSDs. | Guo Li, Xianzhang Chen, Duo Liu, Jiali Li, Yujuan Tan, Ao Ren |
| 2023 | ICCD | Re-compact: Structured Pruning and SpMM Kernel Co-design for Accelerating DNNs on GPUs. | Yuling Zhang, Ao Ren, Xianzhang Chen, Qiu Lin, Yujuan Tan, Duo Liu |
| 2023 | ICPADS | Data-Quality-Driven Federated Learning for Optimizing Communication Costs. | Xuehong Fan, Nanzhong Wu, Shukan Liu, Xianzhang Chen, Duo Liu, Yujuan Tan, Ao Ren |
| 2023 | ICPP | RadarSSD: A Computational Storage for Radar Signal Processing. | Jiali Li, Xianzhang Chen, Duo Liu, Ao Ren, Zhaoyang Zeng, Yujuan Tan |
| 2022 | HPCC | 3DS: An Efficient DPDK-based Data Distribution Service for Distributed Real-time Applications. | Tianyu Xu, Xianzhang Chen, Changze Wu, Jiapin Wang, Rongwei Zheng, Duo Liu, Yujuan Tan, Ao Ren, Jian Li |
| 2022 | ICCD | VEA: An FPGA-Based Voxel Encoding Accelerator for 3D Object Detection with LiDAR. | Xin Li, Ao Ren, Yujuan Tan, Xusheng Li, Zhetong Huang, Chengliang Wang, Xianzhang Chen, Duo Liu |
| 2022 | ICCD | CADedup: High-performance Consistency-aware Deduplication Based on Persistent Memory. | Chunlin Song, Xianzhang Chen, Duo Liu, Xiaoliu Feng, Xi Yu, Jiali Li, Yujuan Tan, Ao Ren |
| 2021 | IJCNN | FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems. | Li Li, Moming Duan, Duo Liu, Yu Zhang, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang |
| 2021 | IJCNN | CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework. | Yu Zhang, Moming Duan, Duo Liu, Li Li, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang |
| 2020 | AAAI | DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks. | Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-Kuang Chen, Yuan Xie, Yanzhi Wang |
| 2019 | ASPLOS | ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers. | Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang |
| 2019 | ICCD | A Buffer and Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. | Ruizhe Cai, Olivia Chen, Ao Ren, Ning Liu, Nobuyuki Yoshikawa, Yanzhi Wang |
| 2019 | ISCA | A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. | Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang |
| 2018 | ASPLOS | VIBNN: Hardware Acceleration of Bayesian Neural Networks. | Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang |
| 2017 | ASPDAC | Towards acceleration of deep convolutional neural networks using stochastic computing. | Ji Li, Ao Ren, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang |
| 2017 | ASPDAC | Algorithm-hardware co-optimization of the memristor-based framework for solving SOCP and homogeneous QCQP problems. | Ao Ren, Sijia Liu, Ruizhe Cai, Wujie Wen, Pramod K. Varshney, Yanzhi Wang |
| 2017 | ASPLOS | SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. | Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan |
| 2017 | DATE | Structural design optimization for deep convolutional neural networks using stochastic computing. | Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Bo Yuan, Jeffrey Draper, Yanzhi Wang |
| 2017 | ICASSP | Ultra-fast robust compressive sensing based on memristor crossbars. | Sijia Liu, Ao Ren, Yanzhi Wang, Pramod K. Varshney |
| 2017 | ICCAD | Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper. | Hongjia Li, Tianshu Wei, Ao Ren, Qi Zhu, Yanzhi Wang |
| 2017 | ICCD | Hardware Acceleration of Bayesian Neural Networks Using RAM Based Linear Feedback Gaussian Random Number Generators. | Ruizhe Cai, Ao Ren, Luhao Wang, Massoud Pedram, Yanzhi Wang |
| 2017 | IJCNN | Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. | Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang |
| 2016 | ICCD | DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks. | Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Yanzhi Wang, Bo Yuan |