Neural Network-based Prediction Algorithms for In-Door Multi-Source Energy Harvesting System for Non-Volatile Processors. - Ning Liu 007; Caiwen Ding; Yanzhi Wang; Jingtong Hu (ACM Great Lakes Symposium on VLSI, 2016)

A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. - Ning Liu 007; Zhe Li 001; Jielong Xu; Zhiyuan Xu; Sheng Lin 001; Qinru Qiu; Jian Tang 008; Yanzhi Wang (ICDCS, 2017)

Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data. - Ying Liu; Brent Logan; Ning Liu 007; Zhiyuan Xu; Jian Tang 008; Yanzhi Wang (ICHI, 2017)

Data center power management for regulation service using neural network-based power prediction. - Ning Liu 007; Xue Lin 001; Yanzhi Wang (ISQED, 2017)

CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. - Caiwen Ding; Siyu Liao; Yanzhi Wang; Zhe Li 001; Ning Liu 007; Youwei Zhuo; Chao Wang 051; Xuehai Qian; Yu Bai 004; Geng Yuan; Xiaolong Ma; Yipeng Zhang; et al. (MICRO, 2017)

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. - Caiwen Ding; Siyu Liao; Yanzhi Wang; Zhe Li 001; Ning Liu 007; Youwei Zhuo; Chao Wang 051; Xuehai Qian; Yu Bai 004; Geng Yuan; Xiaolong Ma; Yipeng Zhang; et al. (CoRR, 2017)

Multisource Indoor Energy Harvesting for Nonvolatile Processors. - Caiwen Ding; Ning Liu 007; Yanzhi Wang; Ji Li 006; Soroush Heidari; Jingtong Hu; Yongpan Liu (IEEE Des. Test, 2017)

VIBNN: Hardware Acceleration of Bayesian Neural Networks. - Ruizhe Cai; Ao Ren; Ning Liu 007; Caiwen Ding; Luhao Wang; Xuehai Qian; Massoud Pedram; Yanzhi Wang (ASPLOS, 2018)

FFT-based deep learning deployment in embedded systems. - Sheng Lin 001; Ning Liu 007; Mahdi Nazemi; Hongjia Li; Caiwen Ding; Yanzhi Wang; Massoud Pedram (DATE, 2018)

Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs. - Caiwen Ding; Ao Ren; Geng Yuan; Xiaolong Ma; Jiayu Li; Ning Liu 007; Bo Yuan 001; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2018)

Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation. - Hongjia Li; Ruizhe Cai; Ning Liu 007; Xue Lin 001; Yanzhi Wang (Nano Commun. Networks, 2018)

REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs. - Caiwen Ding; Shuo Wang 009; Ning Liu 007; Kaidi Xu; Yanzhi Wang; Yun Liang 001 (FPGA, 2019)

A Majority Logic Synthesis Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. - Ruizhe Cai; Olivia Chen; Ao Ren; Ning Liu 007; Caiwen Ding; Nobuyuki Yoshikawa; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2019)

ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. - Hongjia Li; Ning Liu 007; Xiaolong Ma; Sheng Lin 001; Shaokai Ye; Tianyun Zhang; Xue Lin 001; Wenyao Xu; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2019)

A Buffer and Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. - Ruizhe Cai; Olivia Chen; Ao Ren; Ning Liu 007; Nobuyuki Yoshikawa; Yanzhi Wang (ICCD, 2019)

A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. - Ruizhe Cai; Ao Ren; Olivia Chen; Ning Liu 007; Caiwen Ding; Xuehai Qian; Jie Han 001; Wenhui Luo; Nobuyuki Yoshikawa; Yanzhi Wang (ISCA, 2019)

IDE Development, Logic Synthesis and Buffer/Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. - Ruizhe Cai; Xiaolong Ma; Olivia Chen; Ao Ren; Ning Liu 007; Nobuyuki Yoshikawa; Yanzhi Wang (ISVLSI, 2019)

Deep Compressed Pneumonia Detection for Low-Power Embedded Devices. - Hongjia Li; Sheng Lin 001; Ning Liu 007; Caiwen Ding; Yanzhi Wang (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. - Ning Liu 007; Xiaolong Ma; Zhiyuan Xu; Yanzhi Wang; Jian Tang 008; Jieping Ye (CoRR, 2019)

A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology. - Ruizhe Cai; Ao Ren; Olivia Chen; Ning Liu 007; Caiwen Ding; Xuehai Qian; Jie Han 001; Wenhui Luo; Nobuyuki Yoshikawa; Yanzhi Wang (CoRR, 2019)

AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. - Ning Liu 007; Xiaolong Ma; Zhiyuan Xu; Yanzhi Wang; Jian Tang 008; Jieping Ye (AAAI, 2020)

Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? - Ning Liu 007; Geng Yuan; Zhengping Che; Xuan Shen; Xiaolong Ma; Qing Jin; Jian Ren 005; Jian Tang 008; Sijia Liu 001; Yanzhi Wang (ICML, 2021)

Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. - Geng Yuan; Zhiheng Liao; Xiaolong Ma; Yuxuan Cai 001; Zhenglun Kong; Xuan Shen; Jingyan Fu; Zhengang Li; Chengming Zhang 006; Hongwu Peng; Ning Liu 007; Ao Ren; et al. (ISQED, 2021)

Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? - Xiaolong Ma; Geng Yuan; Xuan Shen; Tianlong Chen 001; Xuxi Chen; Xiaohan Chen; Ning Liu 007; Minghai Qin; Sijia Liu 001; Zhangyang Wang; Yanzhi Wang (NeurIPS, 2021)

MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. - Geng Yuan; Xiaolong Ma; Wei Niu 002; Zhengang Li; Zhenglun Kong; Ning Liu 007; Yifan Gong 004; Zheng Zhan 001; Chaoyang He 001; Qing Jin; Siyue Wang; Minghai Qin; et al. (NeurIPS, 2021)

Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon? - Ning Liu 007; Geng Yuan; Zhengping Che; Xuan Shen; Xiaolong Ma; Qing Jin; Jian Ren 005; Jian Tang 008; Sijia Liu 001; Yanzhi Wang (CoRR, 2021)

An Automatic and Efficient BERT Pruning for Edge AI Systems. - Shaoyi Huang; Ning Liu 007; Yueying Liang; Hongwu Peng; Hongjia Li; Dongkuan Xu; Mimi Xie; Caiwen Ding (ISQED, 2022)

BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. - Xiaolong Ma; Geng Yuan; Zhengang Li; Yifan Gong 004; Tianyun Zhang; Wei Niu 002; Zheng Zhan 001; Pu Zhao 001; Ning Liu 007; Jian Tang 008; Xue Lin 001; Bin Ren; et al. (ISQED, 2022)

Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation. - Yichen Zhu; Ning Liu 007; Zhiyuan Xu; Xin Liu 086; Weibin Meng; Louis Wang; Zhicai Ou; Jian Tang 008 (NeurIPS, 2022)

CP3: Channel Pruning Plug-in for Point-Based Networks. - Yaomin Huang; Ning Liu 007; Zhengping Che; Zhiyuan Xu; Chaomin Shen 001; Yaxin Peng; Guixu Zhang; Xinmei Liu; Feifei Feng; Jian Tang 008 (CVPR, 2023)

ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector. - Yichen Zhu; Qiqi Zhou 002; Ning Liu 007; Zhiyuan Xu; Zhicai Ou; Xiaofeng Mou; Jian Tang 008 (CVPR, 2023)

CMG-Net: An End-to-End Contact-based Multi-Finger Dexterous Grasping Network. - Mingze Wei; Yaomin Huang; Zhiyuan Xu; Ning Liu 007; Zhengping Che; Xinyu Zhang; Chaomin Shen 001; Feifei Feng; Chun Shan; Jian Tang 008 (ICRA, 2023)

DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search. - Yushuo Guan; Ning Liu 007; Pengyu Zhao; Zhengping Che; Kaigui Bian; Yanzhi Wang; Jian Tang 008 (IEEE Trans. Neural Networks Learn. Syst., 2023)

EPSD: Early Pruning with Self-Distillation for Efficient Model Compression. - Dong Chen; Ning Liu 007; Yichen Zhu; Zhengping Che; Rui Ma; Fachao Zhang; Xiaofeng Mou; Yi Chang; Jian Tang 008 (AAAI, 2024)

EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching. - Xinwang Chen; Ning Liu 007; Yichen Zhu; Feifei Feng; Jian Tang 008 (NeurIPS, 2024)

AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking. - Shiqi Sun; Yantao Lu; Ning Liu 007; Bo Jiang; Jinchao Chen; Ying Zhang 060 (NeurIPS, 2024)

Work-in-Progress: Towards Real-time Collaborative 3D Object Detection Systems with Request-free Communication. - Shiqi Sun; Yantao Lu; Ning Liu 007; Bo Jiang; Jinchao Chen; Ying Zhang 060 (RTSS, 2024)

LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model. - Yichen Zhu; Minjie Zhu; Ning Liu 007; Zhicai Ou; Xiaofeng Mou; Jian Tang 008 (CoRR, 2024)

SWBT: Similarity Weighted Behavior Transformer with the Imperfect Demonstration for Robotic Manipulation. - Kun Wu 001; Ning Liu 007; Zhen Zhao; Di Qiu; Jinming Li; Zhengping Che; Zhiyuan Xu; Qinru Qiu; Jian Tang 008 (CoRR, 2024)

A Survey on Robotics with Foundation Models: toward Embodied AI. - Zhiyuan Xu; Kun Wu 001; Junjie Wen; Jinming Li; Ning Liu 007; Zhengping Che; Jian Tang 008 (CoRR, 2024)

Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models. - Minjie Zhu; Yichen Zhu; Xin Liu 086; Ning Liu 007; Zhiyuan Xu; Chaomin Shen 001; Yaxin Peng; Zhicai Ou; Feifei Feng; Jian Tang 008 (CoRR, 2024)

2023 Low-Power Computer Vision Challenge (LPCVC) Summary. - Leo Chen; Benjamin Boardley; Ping Hu; Yiru Wang; Yifan Pu; Xin Jin; Yongqiang Yao; Ruihao Gong; Bo Li 026; Gao Huang 001; Xianglong Liu 001; Zifu Wan; et al. (CoRR, 2024)

MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics? - Jinming Li; Yichen Zhu; Zhiyuan Xu; Jindong Gu; Minjie Zhu; Xin Liu 086; Ning Liu 007; Yaxin Peng; Feifei Feng; Jian Tang 008 (CoRR, 2024)

TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation. - Junjie Wen; Yichen Zhu; Jinming Li; Minjie Zhu; Kun Wu 001; Zhiyuan Xu; Ning Liu 007; Ran Cheng; Chaomin Shen 001; Yaxin Peng; Feifei Feng; Jian Tang 008 (CoRR, 2024)

Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation. - Minjie Zhu; Yichen Zhu; Jinming Li; Junjie Wen; Zhiyuan Xu; Ning Liu 007; Ran Cheng; Chaomin Shen 001; Yaxin Peng; Feifei Feng; Jian Tang 008 (CoRR, 2024)

Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation. - Kun Wu 001; Yichen Zhu; Jinming Li; Junjie Wen; Ning Liu 007; Zhiyuan Xu; Qinru Qiu; Jian Tang 008 (CoRR, 2024)

RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation. - Kun Wu 001; Chengkai Hou; Jiaming Liu 003; Zhengping Che; Xiaozhu Ju; Zhuqin Yang; Meng Li; Yinuo Zhao; Zhiyuan Xu; Guang Yang; Zhen Zhao; Guangyu Li; et al. (CoRR, 2024)

CrossPrune: Cooperative pruning for camera-LiDAR fused perception models of autonomous driving. - Yantao Lu; Bo Jiang; Ning Liu 007; Yilan Li; Jinchao Chen; Ying Zhang 060; Zifu Wan (Knowl. Based Syst., 2024)

CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization. - Wenzheng Hu; Zhengping Che; Ning Liu 007; Mingyang Li; Jian Tang 008; Changshui Zhang; Jianqiang Wang 003 (IEEE Trans. Neural Networks Learn. Syst., 2024)

FreePrune: An Automatic Pruning Framework Across Various Granularities Based on Training-Free Evaluation. - Miao Tang; Ning Liu 007; Tao Yang; Haining Fang; Qiu Lin; Yujuan Tan; Xianzhang Chen; Duo Liu; Kan Zhong; Ao Ren (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

A Comprehensive Overhaul of Multimodal Assistant with Small Language Models. - Minjie Zhu; Yichen Zhu; Ning Liu 007; Xin Liu 086; Zhiyuan Xu; Chaomin Shen 001; Yaxin Peng (AAAI, 2025)

LaTP: LiDAR-aided multimodal token pruning for efficient trajectory prediction of autonomous driving. - Yantao Lu; Shiqi Sun; Ning Liu 007; Bo Jiang; Yilan Li; Jinchao Chen; Ying Zhang 060; Yichen Zhu; Senem Velipasalar (Neural Networks, 2025)

Cross-task and time-aware adversarial attack framework for perception of autonomous driving. - Yantao Lu; Ning Liu 007; Yilan Li; Jinchao Chen; Senem Velipasalar (Pattern Recognit., 2025)

ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model. - Zhongyi Zhou; Yichen Zhu; Minjie Zhu; Junjie Wen; Ning Liu 007; Zhiyuan Xu; Weibin Meng; Ran Cheng; Yaxin Peng; Chaomin Shen 001; Feifei Feng (CoRR, 2025)

HACTS: a Human-As-Copilot Teleoperation System for Robot Learning. - Zhiyuan Xu; Yinuo Zhao; Kun Wu 001; Ning Liu 007; Junjie Ji; Zhengping Che; Chi Harold Liu; Jian Tang 008 (CoRR, 2025)

TinyVLA: Toward Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation. - Junjie Wen; Yichen Zhu; Jinming Li; Minjie Zhu; Zhibin Tang; Kun Wu 001; Zhiyuan Xu; Ning Liu 007; Ran Cheng; Chaomin Shen 001; Yaxin Peng; Feifei Feng; et al. (IEEE Robotics Autom. Lett., 2025)

SwitchVLA: Execution-Aware Task Switching for Vision-Language-Action Models. - Meng Li; Zhen Zhao; Zhengping Che; Fei Liao; Kun Wu 001; Zhiyuan Xu; Pei Ren; Zhao Jin; Ning Liu 007; Jian Tang 008 (CoRR, 2025)

FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency. - Yifei Su; Ning Liu 007; Dong Chen; Zhen Zhao; Kun Wu 001; Meng Li; Zhiyuan Xu; Zhengping Che; Jian Tang 008 (CoRR, 2025)