| 2026 | ICPR | Diff-StyGS: 3D Gaussian Splatting Stylization via Tuning-Free Multi-view Sparse Diffusion. | Yize Li, Lei Lu, Zhenglun Kong, Yanzhi Wang, Pu Zhao, Xue Lin |
| 2025 | AAAI | Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. | Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang |
| 2025 | AAAI | LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers. | Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, Jiuxiang Gu |
| 2025 | AAAI | Numerical Pruning for Efficient Autoregressive Models. | Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu |
| 2025 | CVPR | QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge. | Xuan Shen, Weize Ma, Jing Liu, Changdi Yang, Rui Ding, Quanyi Wang, Henghui Ding, Wei Niu, Yanzhi Wang, Pu Zhao, Jun Lin, Jiuxiang Gu |
| 2025 | CVPR | SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device. | Yushu Wu, Zhixing Zhang, Yanyu Li, Yanwu Xu, Anil Kag, Yang Sui, Huseyin Coskun, Ke Ma, Aleksei Lebedev, Ju Hu, Dimitris N. Metaxas, Yanzhi Wang, Sergey Tulyakov, Jian Ren |
| 2025 | FAST | MedFS: Pursuing Low Update Overhead via Metadata-Enabled Delta Compression for Log-structured File System on Mobile Device. | Chao Wu, Cheng Ji, Li-Pin Chang, Zongwei Zhu, Congming Gao, Weichao Guo, Chao Yu, Yanzhi Wang |
| 2025 | ICASSP | RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. | Jun Liu, Zhenglun Kong, Peiyan Dong, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang |
| 2025 | ICCAD | Squat: Quant Small Language Models on the Edge. | Xuan Shen, Peiyan Dong, Zhenglun Kong, Yifan Gong, Changdi Yang, Zhaoyang Han, Yanyue Xie, Lei Lu, Cheng Lyu, Chao Wu, Yanzhi Wang, Pu Zhao |
| 2025 | ICCAD | Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training. | Qitao Tan, Sung-En Chang, Rui Xia, Huidong Ji, Chence Yang, Ci Zhang, Jun Liu, Zheng Zhan, Zhenman Fang, Zhuo Zou, Yanzhi Wang, Jin Lu, Geng Yuan |
| 2025 | ICCAD | ZeroSim: Zero-Shot Analog Circuit Evaluation with Unified Transformer Embeddings. | Xiaomeng Yang, Jian Gao, Yanzhi Wang, Xuan Zhang |
| 2025 | ICLR | Sparse Learning for State Space Models on Mobile. | Xuan Shen, Hangyu Zheng, Yifan Gong, Zhenglun Kong, Changdi Yang, Zheng Zhan, Yushu Wu, Xue Lin, Yanzhi Wang, Pu Zhao, Wei Niu |
| 2025 | ICML | Taming Diffusion for Dataset Distillation with High Representativeness. | Lin Zhao, Yushu Wu, Xinru Jiang, Jianyang Gu, Yanzhi Wang, Xiaolin Xu, Pu Zhao, Xue Lin |
| 2025 | IJCAI | FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts. | Changdi Yang, Zheng Zhan, Ci Zhang, Yifan Gong, Yize Li, Zichong Meng, Jun Liu, Xuan Shen, Hao Tang, Geng Yuan, Pu Zhao, Xue Lin, Yanzhi Wang |
| 2025 | ICS | Graph Convolutional Network Acceleration Using Adiabatic Superconductor Josephson Devices. | Zhengang Li, Hongwu Peng, Xuan Shen, Masoud Zabihi, Xi Xie, Geng Yuan, Yanzhi Wang, Olivia Chen, Caiwen Ding |
| 2025 | PRICAI | HDCompression: Hybrid-Diffusion Image Compression for Ultra-low Bitrates. | Lei Lu, Yize Li, Yanzhi Wang, Wei Wang, Wei Jiang |
| 2025 | WACV | Can Adversarial Examples be Parsed to Reveal Victim Model Information? | Yuguang Yao, Jiancheng Liu, Yifan Gong, Xiaoming Liu, Yanzhi Wang, Xue Lin, Sijia Liu |
| 2025 | WACV | Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation. | Pinrui Yu, Zhenglun Kong, Pu Zhao, Peiyan Dong, Hao Tang, Fei Sun, Xue Lin, Yanzhi Wang |
| 2024 | AAAI | Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge. | Xuan Shen, Peiyan Dong, Lei Lu, Zhenglun Kong, Zhengang Li, Ming Lin, Chao Wu, Yanzhi Wang |
| 2024 | CGO | Energy-Aware Tile Size Selection for Affine Programs on GPUs. | Malith Jayaweera, Martin Kong, Yanzhi Wang, David R. Kaeli |
| 2024 | CVPR | SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model. | Zhengang Li, Yan Kang, Yuchen Liu, Difan Liu, Tobias Hinz, Feng Liu, Yanzhi Wang |
| 2024 | CVPR | TextCraftor: Your Text Encoder can be Image Quality Controller. | Yanyu Li, Xian Liu, Anil Kag, Ju Hu, Yerlan Idelbayev, Dhritiman Sagar, Yanzhi Wang, Sergey Tulyakov, Jian Ren |
| 2024 | DAC | LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices. | Yifan Gong, Yushu Wu, Zheng Zhan, Pu Zhao, Liangkai Liu, Chao Wu, Xulong Tang, Yanzhi Wang |
| 2024 | DAC | Late Breaking Result: AQFP-aware Binary Neural Network Architecture Search. | Zhengang Li, Xuan Shen, Geng Yuan, Masoud Zabihi, Tomoharu Yamauchi, Yanzhi Wang, Olivia Chen |
| 2024 | DATE | DACO: Pursuing Ultra-low Power Consumption via DNN-Adaptive CPU-GPU CO-optimization on Mobile Devices. | Yushu Wu, Chao Wu, Geng Yuan, Yanyu Li, Weichao Guo, Jing Rao, Xipeng Shen, Bin Ren, Yanzhi Wang |
| 2024 | DATE | SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum- Flux - Parametron Superconducting Circuits. | Yanyue Xie, Peiyan Dong, Geng Yuan, Zhengang Li, Masoud Zabihi, Chao Wu, Sung-En Chang, Xufeng Zhang, Xue Lin, Caiwen Ding, Nobuyuki Yoshikawa, Olivia Chen, Yanzhi Wang |
| 2024 | ECCV | Efficient Training with Denoised Neural Weights. | Yifan Gong, Zheng Zhan, Yanyu Li, Yerlan Idelbayev, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren |
| 2024 | ECCV | InstructGIE: Towards Generalizable Image Editing. | Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang |
| 2024 | ECCV | DiffClass: Diffusion-Based Class Incremental Learning. | Zichong Meng, Jie Zhang, Changdi Yang, Zheng Zhan, Pu Zhao, Yanzhi Wang |
| 2024 | EMNLP | Rethinking Token Reduction for State Space Models. | Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang |
| 2024 | EMNLP | Pruning Foundation Models for High Accuracy without Retraining. | Pu Zhao, Fei Sun, Xuan Shen, Pinrui Yu, Zhenglun Kong, Yanzhi Wang, Xue Lin |
| 2024 | FPL | SDA: Low-Bit Stable Diffusion Acceleration on Edge FPGAs. | Geng Yang, Yanyue Xie, Zhong Jia Xue, Sung-En Chang, Yanyu Li, Peiyan Dong, Jie Lei, Weiying Xie, Yanzhi Wang, Xue Lin, Zhenman Fang |
| 2024 | ICCAD | AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge. | Chao Wu, Yifan Gong, Liangkai Liu, Mengquan Li, Yushu Wu, Xuan Shen, Zhimin Li, Geng Yuan, Weisong Shi, Yanzhi Wang |
| 2024 | ICDM | Reducing Unfairness in Distributed Community Detection. | Hao Zhang, Malith Jayaweera, Bin Ren, Yanzhi Wang, Sucheta Soundarajan |
| 2024 | ICLR | Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning. | Sheng Li, Chao Wu, Ao Li, Yanzhi Wang, Xulong Tang, Geng Yuan |
| 2024 | ICML | E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation. | Yifan Gong, Zheng Zhan, Qing Jin, Yanyu Li, Yerlan Idelbayev, Xian Liu, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren |
| 2024 | IJCAI | Digital Avatars: Framework Development and Their Evaluation. | Timothy Rupprecht, Sung-En Chang, Yushu Wu, Lei Lu, Enfu Nan, Chih-hsiang Li, Caiyue Lai, Zhimin Li, Zhijun Hu, Yumei He, David R. Kaeli, Yanzhi Wang |
| 2024 | IJCAI | FasterVD: On Acceleration of Video Diffusion Models. | Pinrui Yu, Dan Luo, Timothy Rupprecht, Lei Lu, Zhenglun Kong, Pu Zhao, Yanyu Li, Octavia I. Camps, Xue Lin, Yanzhi Wang |
| 2024 | ICS | Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. | Zhengang Li, Alec Lu, Yanyue Xie, Zhenglun Kong, Mengshu Sun, Hao Tang, Zhong Jia Xue, Peiyan Dong, Caiwen Ding, Yanzhi Wang, Xue Lin, Zhenman Fang |
| 2023 | AAAI | Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. | Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang |
| 2023 | AAAI | Towards Real-Time Segmentation on the Edge. | Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang |
| 2023 | CVPR | DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network. | Xuan Shen, Yaohua Wang, Ming Lin, Yilun Huang, Hao Tang, Xiuyu Sun, Yanzhi Wang |
| 2023 | CVPR | You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model. | Shengkun Tang, Yaqing Wang, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang, Dongkuan Xu |
| 2023 | CVPR | Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge. | Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang |
| 2023 | DAC | Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge. | Yifan Gong, Pu Zhao, Zheng Zhan, Yushu Wu, Chao Wu, Zhenglun Kong, Minghai Qin, Caiwen Ding, Yanzhi Wang |
| 2023 | DAC | Invited: Algorithm-Software-Hardware Co-Design for Deep Learning Acceleration. | Zhengang Li, Yanyue Xie, Peiyan Dong, Olivia Chen, Yanzhi Wang |
| 2023 | DATE | ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. | Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang |
| 2023 | HPCA | HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. | Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang |
| 2023 | ICCAD | MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference. | Yushu Wu, Yifan Gong, Zheng Zhan, Geng Yuan, Yanyu Li, Qi Wang, Chao Wu, Yanzhi Wang |
| 2023 | ICCAD | Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models. | Changdi Yang, Yi Sheng, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin, Yanzhi Wang |
| 2023 | ICCV | Rethinking Vision Transformers for MobileNet Size and Speed. | Yanyu Li, Ju Hu, Yang Wen, Georgios Evangelidis, Kamyar Salahi, Yanzhi Wang, Sergey Tulyakov, Jian Ren |
| 2023 | ICDM | Unfairness in Distributed Graph Frameworks. | Hao Zhang, Malith Jayaweera, Bin Ren, Yanzhi Wang, Sucheta Soundarajan |
| 2023 | ICLR | Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. | Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang |
| 2023 | ICLR | SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. | Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang |
| 2023 | ICML | DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. | Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy |
| 2023 | ICML | SpeedDETR: Speed-aware Transformers for End-to-end Object Detection. | Peiyan Dong, Zhenglun Kong, Xin Meng, Peng Zhang, Hao Tang, Yanzhi Wang, Chih-Hsien Chou |
| 2023 | IJCAI | Data Level Lottery Ticket Hypothesis for Vision Transformers. | Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang |
| 2023 | ICRA | StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks. | Hongyu Li, Zhengang Li, Neset nver Akmandor, Huaizu Jiang, Yanzhi Wang, Taskin Padir |
| 2023 | KDD | RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. | Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang |
| 2023 | MICRO | SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. | Zhengang Li, Geng Yuan, Tomoharu Yamauchi, Masoud Zabihi, Yanyue Xie, Peiyan Dong, Xulong Tang, Nobuyuki Yoshikawa, Devesh Tiwari, Yanzhi Wang, Olivia Chen |
| 2022 | DAC | Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. | Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang |
| 2022 | DAC | TAAS: a timing-aware analytical strategy for AQFP-capable placement automation. | Peiyan Dong, Yanyue Xie, Hongjia Li, Mengshu Sun, Olivia Chen, Nobuyuki Yoshikawa, Yanzhi Wang |
| 2022 | ECCV | SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning. | Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang |
| 2022 | ECCV | Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. | Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang |
| 2022 | ECCV | You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. | Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li, Yushu Wu, Zhenglun Kong, Yanyue Xie, Peiyan Dong, Minghai Qin, Xiaolong Ma, Xulong Tang, Zhenman Fang, Yanzhi Wang |
| 2022 | FCCM | Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression. | Mengshu Sun, Sheng Lin, Shan Liu, Songnan Li, Yanzhi Wang, Wei Jiang, Wei Wang |
| 2022 | ICCAD | All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. | Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang |
| 2022 | ICCAD | Quantum Neural Network Compression. | Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang |
| 2022 | ICDM | Pruning Adversarially Robust Neural Networks without Adversarial Examples. | Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis |
| 2022 | ICLR | F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization. | Qing Jin, Jian Ren, Richard Zhuang, Sumant Hanumante, Zhengang Li, Zhiyu Chen, Yanzhi Wang, Kaiyuan Yang, Sergey Tulyakov |
| 2022 | ICLR | Effective Model Sparsification by Scheduled Grow-and-Prune Methods. | Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie |
| 2022 | ICML | Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. | Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang |
| 2022 | IJCAI | Real-Time Portrait Stylization on the Edge. | Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang |
| 2022 | IJCAI | Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. | Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen |
| 2022 | ISCAS | Reliability Improvement in RRAM-based DNN for Edge Computing. | Md. Oli-Uz-Zaman, Saleh Ahmad Khan, Geng Yuan, Yanzhi Wang, Zhiheng Liao, Jingyan Fu, Caiwen Ding, Jinhui Wang |
| 2022 | ICTAI | Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. | Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie |
| 2022 | MICRO | GCD | Wei Niu, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Gagan Agrawal, Bin Ren |
| 2022 | WWW | Optimizing Data Layout for Training Deep Neural Networks. | Bingyao Li, Qi Xue, Geng Yuan, Sheng Li, Xiaolong Ma, Yanzhi Wang, Xulong Tang |
| 2022 | RTSS | Prophet: Realizing a Predictable Real-time Perception Pipeline for Autonomous Vehicles. | Liangkai Liu, Zheng Dong, Yanzhi Wang, Weisong Shi |
| 2022 | RTAS | Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card. | Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Bin Ren, Yanzhi Wang, Shaoshan Liu, Xipeng Shen |
| 2021 | AAAI | YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. | Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang |
| 2021 | AAAI | A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices. | Yuxuan Cai, Geng Yuan, Hongjia Li, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang |
| 2021 | AAAI | RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. | Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren |
| 2021 | ASPDAC | Puncturing the memory wall: Joint optimization of network compression with approximate memory for ASR application. | Qin Li, Peiyan Dong, Zijie Yu, Changlu Liu, Fei Qiao, Yanzhi Wang, Huazhong Yang |
| 2021 | ASPDAC | Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications. | Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, Yanzhi Wang |
| 2021 | CVPR | Teachers Do More Than Teach: Compressing Image-to-Image Models. | Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov |
| 2021 | CVPR | NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. | Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin |
| 2021 | DAC | A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods. | Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Caiwen Ding, Makan Fardad, Yanzhi Wang |
| 2021 | DAC | Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles. | Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin |
| 2021 | DATE | Towards AQFP-Capable Physical Design Automation. | Hongjia Li, Mengshu Sun, Tianyun Zhang, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Yanzhi Wang, Yibo Lin |
| 2021 | DATE | TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators. | Geng Yuan, Payman Behnam, Yuxuan Cai, Ali Shafiee, Jingyan Fu, Zhiheng Liao, Zhengang Li, Xiaolong Ma, Jieren Deng, Jinhui Wang, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding |
| 2021 | HPCA | Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. | Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden K. H. So, Xuehai Qian, Yanzhi Wang, Xue Lin |
| 2021 | ICCAD | ScaleDNN: Data Movement Aware DNN Training on Multi-GPU. | Weizheng Xu, Ashutosh Pattnaik, Geng Yuan, Yanzhi Wang, Youtao Zhang, Xulong Tang |
| 2021 | ICCV | Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. | Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang |
| 2021 | ICCV | RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. | Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin |
| 2021 | ICCV | Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point. | Fangxin Liu, Wenbo Zhao, Zhezhi He, Yanzhi Wang, Zongwu Wang, Changzhi Dai, Xiaoyao Liang, Li Jiang |
| 2021 | ICML | Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? | Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang |
| 2021 | IJCAI | A Compression-Compilation Framework for On-mobile Real-time BERT Applications. | Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang |
| 2021 | IJCAI | Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices. | Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, Yanzhi Wang |
| 2021 | ISCA | FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. | Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding |
| 2021 | ICS | ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. | Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao |
| 2021 | ISLPED | MC | Zhiyu Chen, Qing Jin, Jingyu Wang, Yanzhi Wang, Kaiyuan Yang |
| 2021 | IWQoS | EXTRA: An Experience-driven Control Framework for Distributed Stream Data Processing with a Variable Number of Threads. | Teng Li, Zhiyuan Xu, Jian Tang, Kun Wu, Yanzhi Wang |
| 2021 | PLDI | DNNFusion: accelerating deep neural networks execution with advanced operator fusion. | Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren |
| 2021 | RTAS | Brief Industry Paper: An Infrastructure-Aided High Definition Map Data Provisioning Service for Autonomous Driving. | Jinliang Xie, Jie Tang, Yanzhi Wang, Qi Zhu, Shaoshan Liu |
| 2021 | RTAS | Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. | Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang |
| 2021 | RTAS | Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. | Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Shaoshan Liu, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin |
| 2020 | AAAI | AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. | Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye |
| 2020 | AAAI | Embedding Compression with Isotropic Iterative Quantization. | Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan |
| 2020 | AAAI | PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. | Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi 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 |
| 2020 | ASPDAC | Database and Benchmark for Early-stage Malicious Activity Detection in 3D Printing. | Xiaolong Ma, Zhe Li, Hongjia Li, Qiyuan An, Qinru Qiu, Wenyao Xu, Yanzhi Wang |
| 2020 | ASPDAC | Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. | Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang |
| 2020 | ASPLOS | PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. | Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren |
| 2020 | DAC | PIM-Prune: Fine-Grain DCNN Pruning for Crossbar-Based Process-In-Memory Architecture. | Chaoqun Chu, Yanzhi Wang, Yilong Zhao, Xiaolong Ma, Shaokai Ye, Yunyan Hong, Xiaoyao Liang, Yinhe Han, Li Jiang |
| 2020 | DAC | PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators. | Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma |
| 2020 | DATE | AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. | Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen |
| 2020 | DATE | When Sorting Network Meets Parallel Bitstreams: A Fault-Tolerant Parallel Ternary Neural Network Accelerator based on Stochastic Computing. | Yawen Zhang, Sheng Lin, Runsheng Wang, Yanzhi Wang, Yuan Wang, Weikang Qian, Ru Huang |
| 2020 | ECCV | An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. | Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang |
| 2020 | ECCV | Adversarial T-Shirt! Evading Person Detectors in a Physical World. | Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin |
| 2020 | ICCAD | ASAP: An Analytical Strategy for AQFP Placement. | Yi-Chen Chang, Hongjia Li, Olivia Chen, Yanzhi Wang, Nobuyuki Yoshikawa, Tsung-Yi Ho |
| 2020 | ICCAD | Concurrent Weight Encoding-based Detection for Bit-Flip Attack on Neural Network Accelerators. | Qi Liu, Wujie Wen, Yanzhi Wang |
| 2020 | ICDM | Learn-Prune-Share for Lifelong Learning. | Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis |
| 2020 | IJCAI | Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. | Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren |
| 2020 | ICS | CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks. | Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang |
| 2020 | ISCAS | Accurate and Energy-Efficient Implementation of Non-Linear Adder in Parallel Stochastic Computing using Sorting Network. | Yawen Zhang, Runsheng Wang, Yixuan Hu, Weikang Qian, Yanzhi Wang, Yuan Wang, Ru Huang |
| 2020 | ISLPED | NS-KWS: joint optimization of near-sensor processing architecture and low-precision GRU for always-on keyword spotting. | Qin Li, Sheng Lin, Changlu Liu, Yidong Liu, Fei Qiao, Yanzhi Wang, Huazhong Yang |
| 2020 | ISPA | Characterizing the I/O Pipeline in the Deployment of CNNs on Commercial Accelerators. | Jiansong Li, Zihan Jiang, Fangxin Liu, Xiao Dong, Guangli Li, Xueying Wang, Wei Cao, Lei Liu, Yanzhi Wang, Tao Li, Xiaobing Feng |
| 2020 | Mobisys | Towards Ultra-Efficient DNN Inference Acceleration on Edge Devices for Wellbeing Applications. | Yanzhi Wang |
| 2020 | PLDI | SympleGraph: distributed graph processing with precise loop-carried dependency guarantee. | Youwei Zhuo, Jingji Chen, Qinyi Luo, Yanzhi Wang, Hailong Yang, Depei Qian, Xuehai Qian |
| 2020 | SENSYS | One for Many: Transfer Learning for Building HVAC Control. | Shichao Xu, Yixuan Wang, Yanzhi Wang, Zheng O'Neill, Qi Zhu |
| 2019 | AAAI | Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks. | Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin |
| 2019 | ASPDAC | A system-level perspective to understand the vulnerability of deep learning systems. | Tao Liu, Nuo Xu, Qi Liu, Yanzhi Wang, Wujie Wen |
| 2019 | ASPDAC | ADMM attack: an enhanced adversarial attack for deep neural networks with undetectable distortions. | Pu Zhao, Kaidi Xu, Sijia Liu, Yanzhi Wang, Xue Lin |
| 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 | CVPR | Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples. | Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin, Yanzhi Wang, Wujie Wen |
| 2019 | CVPR | Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds. | Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang |
| 2019 | CVPR | Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation. | Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan |
| 2019 | DAC | A Fault-Tolerant Neural Network Architecture. | Tao Liu, Wujie Wen, Lei Jiang, Yanzhi Wang, Chengmo Yang, Gang Quan |
| 2019 | DAC | Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. | Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin |
| 2019 | FPGA | REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs. | Caiwen Ding, Shuo Wang, Ning Liu, Kaidi Xu, Yanzhi Wang, Yun Liang |
| 2019 | HiPC | SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. | Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna |
| 2019 | HPCA | E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. | Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, 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 | ICCV | Adversarial Robustness vs. Model Compression, or Both? | Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang |
| 2019 | ICDM | Generation of Low Distortion Adversarial Attacks via Convex Programming. | Tianyun Zhang, Sijia Liu, Yanzhi Wang, Makan Fardad |
| 2019 | ICLR | Structured Adversarial Attack: Towards General Implementation and Better Interpretability. | Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin |
| 2019 | IJCAI | Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. | Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin |
| 2019 | IJCAI | Interpreting and Evaluating Neural Network Robustness. | Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen |
| 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 |
| 2019 | ISLPED | An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. | Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang |
| 2019 | MICCAI | Deep Compressed Pneumonia Detection for Low-Power Embedded Devices. | Hongjia Li, Sheng Lin, Ning Liu, Caiwen Ding, Yanzhi Wang |
| 2019 | MICRO | GraphQ: Scalable PIM-Based Graph Processing. | Youwei Zhuo, Chao Wang, Mingxing Zhang, Rui Wang, Dimin Niu, Yanzhi Wang, Xuehai Qian |
| 2019 | RTCSA | Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning. | Yilan Li, Hongjia Li, Zhe Li, Haowen Fang, Amit K. Sanyal, Yanzhi Wang, Qinru Qiu |
| 2018 | AAAI | Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. | Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin |
| 2018 | ASPDAC | Security analysis and enhancement of model compressed deep learning systems under adversarial attacks. | Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, Wujie Wen |
| 2018 | ASPDAC | A deep reinforcement learning framework for optimizing fuel economy of hybrid electric vehicles. | Pu Zhao, Yanzhi Wang, Naehyuck Chang, Qi Zhu, Xue Lin |
| 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 |
| 2018 | CCS | PrinTracker: Fingerprinting 3D Printers using Commodity Scanners. | Zhengxiong Li, Aditya Singh Rathore, Chen Song, Sheng Wei, Yanzhi Wang, Wenyao Xu |
| 2018 | DAC | DeepN-JPEG: a deep neural network favorable JPEG-based image compression framework. | Zihao Liu, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu, Yanzhi Wang, Gang Quan |
| 2018 | DATE | FFT-based deep learning deployment in embedded systems. | Sheng Lin, Ning Liu, Mahdi Nazemi, Hongjia Li, Caiwen Ding, Yanzhi Wang, Massoud Pedram |
| 2018 | DATE | An energy-efficient stochastic computational deep belief network. | Yidong Liu, Yanzhi Wang, Fabrizio Lombardi, Jie Han |
| 2018 | ECCV | A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers. | Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang |
| 2018 | FPGA | C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs. | Shuo Wang, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang, Yun Liang |
| 2018 | ICCAD | Design automation methodology and tools for superconductive electronics. | Massoud Pedram, Yanzhi Wang |
| 2018 | ICLR | Efficient Recurrent Neural Networks using Structured Matrices in FPGAs. | Zhe Li, Shuo Wang, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Yun Liang |
| 2018 | ICLR | Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. | Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad |
| 2018 | ICPR | Learning Topics Using Semantic Locality. | Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, Qinru Qiu |
| 2018 | INFOCOM | Experience-driven Networking: A Deep Reinforcement Learning based Approach. | Zhiyuan Xu, Jian Tang, Jingsong Meng, Weiyi Zhang, Yanzhi Wang, Chi Harold Liu, Dejun Yang |
| 2018 | MICRO | CSE: Parallel Finite State Machines with Convergence Set Enumeration. | Youwei Zhuo, Jinglei Cheng, Qinyi Luo, Jidong Zhai, Yanzhi Wang, Zhongzhi Luan, Xuehai Qian |
| 2017 | ASPDAC | Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system. | Caiwen Ding, Ji Li, Weiwei Zheng, Naehyuck Chang, Xue Lin, 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 | DAC | Deep Reinforcement Learning for Building HVAC Control. | Tianshu Wei, Yanzhi Wang, Qi Zhu |
| 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 | Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices. | Siyu Liao, Zhe Li, Xue Lin, Qinru Qiu, Yanzhi Wang, Bo Yuan |
| 2017 | ICCAD | Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper. | Hongjia Li, Tianshu Wei, Ao Ren, Qi Zhu, Yanzhi Wang |
| 2017 | ICCAD | A spike-based long short-term memory on a neurosynaptic processor. | Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu |
| 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 | ICDCS | A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. | Ning Liu, Zhe Li, Jielong Xu, Zhiyuan Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang |
| 2017 | ICML | Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank. | Liang Zhao, Siyu Liao, Yanzhi Wang, Zhe Li, Jian Tang, Bo Yuan |
| 2017 | ICRA | Improving contour accuracy of a 2-DOF planar parallel kinematic machine by smart structure based compensation method. | Yao Jiang, Tiemin Li, Liping Wang, Feifan Chen, 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 |
| 2017 | IJCNN | Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning. | Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, Qinru Qiu |
| 2017 | INFOCOM | Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach. | Jing Wang, Jian Tang, Zhiyuan Xu, Yanzhi Wang, Guoliang Xue, Xing Zhang, Dejun Yang |
| 2017 | ISLPED | Reconfigurable thermoelectric generators for vehicle radiators energy harvesting. | Donkyu Baek, Caiwen Ding, Sheng Lin, Donghwa Shin, Jaemin Kim, Xue Lin, Yanzhi Wang, Naehyuck Chang |
| 2017 | MICRO | CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. | Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan |
| 2016 | ASPDAC | Optimal co-scheduling of HVAC control and battery management for energy-efficient buildings considering state-of-health degradation. | Tiansong Cui, Shuang Chen, Yanzhi Wang, Qi Zhu, Shahin Nazarian, Massoud Pedram |
| 2016 | CISS | Optimal energy allocation and storage control for distributed estimation with sensor collaboration. | Sijia Liu, Yanzhi Wang, Makan Fardad, Pramod K. Varshney |
| 2016 | FUSION | Charging state aware optimal auction design for sensor selection in crowdsourcing based sensor networks. | Nianxia Cao, Yanzhi Wang, Swastik Brahma, Pramod K. Varshney |
| 2016 | IC2E | A Reinforcement Learning-Based Power Management Framework for Green Computing Data Centers. | Xue Lin, Yanzhi Wang, Massoud Pedram |
| 2016 | ICCD | Dynamic converter reconfiguration for near-threshold non-volatile processors using in-door energy harvesting. | Caiwen Ding, Hongjia Li, Jingtong Hu, Yongpan Liu, Yanzhi Wang |
| 2016 | ICCD | Luminescent solar concentrator-based photovoltaic reconfiguration for hybrid and plug-in electric vehicles. | Caiwen Ding, Hongjia Li, Weiwei Zheng, Yanzhi Wang, Naehyuck Chang, Xue Lin |
| 2016 | ICCD | Power-aware virtual machine mapping in the data-center-on-a-chip paradigm. | Xue Lin, Yuankun Xue, Paul Bogdan, Yanzhi Wang, Siddharth Garg, Massoud Pedram |
| 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 |
| 2016 | ISCAS | Multi-source in-door energy harvesting for non-volatile processors. | Caiwen Ding, Soroush Heidari, Yanzhi Wang, Yongpan Liu, Jingtong Hu |
| 2016 | ISCAS | Area-efficient scaling-free DFT/FFT design using stochastic computing. | Bo Yuan, Yanzhi Wang, Zhongfeng Wang |
| 2015 | ASPDAC | Negotiation-based task scheduling and storage control algorithm to minimize user's electric bills under dynamic prices. | Ji Li, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram |
| 2015 | ASPDAC | A cross-layer framework for designing and optimizing deeply-scaled FinFET-based SRAM cells under process variations. | Alireza Shafaei, Shuang Chen, Yanzhi Wang, Massoud Pedram |
| 2015 | DAC | Optimal control of PEVs for energy cost minimization and frequency regulation in the smart grid accounting for battery state-of-health degradation. | Tiansong Cui, Yanzhi Wang, Shuang Chen, Qi Zhu, Shahin Nazarian, Massoud Pedram |
| 2015 | DAC | Joint automatic control of the powertrain and auxiliary systems to enhance the electromobility in hybrid electric vehicles. | Yanzhi Wang, Xue Lin, Massoud Pedram, Naehyuck Chang |
| 2015 | DATE | Event-driven and sensorless photovoltaic system reconfiguration for electric vehicles. | Xue Lin, Yanzhi Wang, Massoud Pedram, Jaemin Kim, Naehyuck Chang |
| 2015 | DATE | Leakage power reduction for deeply-scaled FinFET circuits operating in multiple voltage regimes using fine-grained gate-length biasing technique. | Ji Li, Qing Xie, Yanzhi Wang, Shahin Nazarian, Massoud Pedram |
| 2015 | DATE | Efficiency-driven design time optimization of a hybrid energy storage system with networked charge transfer interconnect. | Qing Xie, Younghyun Kim, Donkyu Baek, Yanzhi Wang, Massoud Pedram, Naehyuck Chang |
| 2015 | ISLPED | Design and optimization of a reconfigurable power delivery network for large-area, DVS-enabled OLED displays. | Woojoo Lee, Yanzhi Wang, Donghwa Shin, Shahin Nazarian, Massoud Pedram |
| 2015 | ISLPED | Reconfigurable three dimensional photovoltaic panel architecture for solar-powered time extension. | Donghwa Shin, Naehyuck Chang, Yanzhi Wang, Massoud Pedram |
| 2014 | ASPDAC | Semi-analytical current source modeling of FinFET devices operating in near/sub-threshold regime with independent gate control and considering process variation. | Tiansong Cui, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram |
| 2014 | BigData | Trace-Based Analysis and Prediction of Cloud Computing User Behavior Using the Fractal Modeling Technique. | Shuang Chen, Mahboobeh Ghorbani, Yanzhi Wang, Paul Bogdan, Massoud Pedram |
| 2014 | DATE | Concurrent placement, capacity provisioning, and request flow control for a distributed cloud infrastructure. | Shuang Chen, Yanzhi Wang, Massoud Pedram |
| 2014 | DATE | An energy-aware fault tolerant scheduling framework for soft error resilient cloud computing systems. | Yue Gao, Sandeep K. Gupta, Yanzhi Wang, Massoud Pedram |
| 2014 | DATE | FEPMA: Fine-grained event-driven power meter for android smartphones based on device driver layer event monitoring. | Kitae Kim, Donghwa Shin, Qing Xie, Yanzhi Wang, Massoud Pedram, Naehyuck Chang |
| 2014 | DATE | VRCon: Dynamic reconfiguration of voltage regulators in a multicore platform. | Woojoo Lee, Yanzhi Wang, Massoud Pedram |
| 2014 | DATE | Minimizing state-of-health degradation in hybrid electrical energy storage systems with arbitrary source and load profiles. | Yanzhi Wang, Xue Lin, Qing Xie, Naehyuck Chang, Massoud Pedram |
| 2014 | DATE | Optimal design and management of a smart residential PV and energy storage system. | Di Zhu, Yanzhi Wang, Naehyuck Chang, Massoud Pedram |
| 2014 | ICCAD | Optimal offloading control for a mobile device based on a realistic battery model and semi-markov decision process. | Shuang Chen, Yanzhi Wang, Massoud Pedram |
| 2014 | ICCAD | Reinforcement learning based power management for hybrid electric vehicles. | Xue Lin, Yanzhi Wang, Paul Bogdan, Naehyuck Chang, Massoud Pedram |
| 2014 | ICCD | Power supply and consumption co-optimization of portable embedded systems with hybrid power supply. | Xue Lin, Yanzhi Wang, Naehyuck Chang, Massoud Pedram |
| 2014 | ICCD | Low write-energy STT-MRAMs using FinFET-based access transistors. | Alireza Shafaei, Yanzhi Wang, Massoud Pedram |
| 2014 | ICCD | Variation-aware joint optimization of the supply voltage and sleep transistor size for the 7nm FinFET technology. | Qing Xie, Yanzhi Wang, Shuang Chen, Massoud Pedram |
| 2014 | IECON | Resource allocation optimization in a data center with energy storage devices. | Shuang Chen, Yanzhi Wang, Massoud Pedram |
| 2014 | IECON | Model-free learning-based online management of hybrid electrical energy storage systems in electric vehicles. | Siyu Yue, Yanzhi Wang, Qing Xie, Di Zhu, Massoud Pedram, Naehyuck Chang |
| 2014 | ISLPED | Fast photovoltaic array reconfiguration for partial solar powered vehicles. | Jaemin Kim, Yanzhi Wang, Massoud Pedram, Naehyuck Chang |
| 2014 | ISLPED | Dynamic thermal management for FinFET-based circuits exploiting the temperature effect inversion phenomenon. | Woojoo Lee, Yanzhi Wang, Tiansong Cui, Shahin Nazarian, Massoud Pedram |
| 2013 | ASPDAC | Online estimation of the remaining energy capacity in mobile systems considering system-wide power consumption and battery characteristics. | Donghwa Shin, Kitae Kim, Naehyuck Chang, Woojoo Lee, Yanzhi Wang, Qing Xie, Massoud Pedram |
| 2013 | ASPDAC | An efficient scheduling algorithm for multiple charge migration tasks in hybrid electrical energy storage systems. | Qing Xie, Di Zhu, Yanzhi Wang, Massoud Pedram, Younghyun Kim, Naehyuck Chang |
| 2013 | ASPDAC | Maximizing return on investment of a grid-connected hybrid electrical energy storage system. | Di Zhu, Yanzhi Wang, Siyu Yue, Qing Xie, Massoud Pedram, Naehyuck Chang |
| 2013 | DATE | A new paradigm for trading off yield, area and performance to enhance performance per wafer. | Yue Gao, Melvin A. Breuer, Yanzhi Wang |
| 2013 | DATE | Capital cost-aware design and partial shading-aware architecture optimization of a reconfigurable photovoltaic system. | Yanzhi Wang, Xue Lin, Massoud Pedram, Jaemin Kim, Naehyuck Chang |
| 2013 | DATE | Optimal control of a grid-connected hybrid electrical energy storage system for homes. | Yanzhi Wang, Xue Lin, Massoud Pedram, Sangyoung Park, Naehyuck Chang |
| 2013 | GLOBECOM | A semi-Markovian decision process based control method for offloading tasks from mobile devices to the cloud. | Shuang Chen, Yanzhi Wang, Massoud Pedram |
| 2013 | ICCAD | Joint sizing and adaptive independent gate control for FinFET circuits operating in multiple voltage regimes using the logical effort method. | Xue Lin, Yanzhi Wang, Massoud Pedram |
| 2013 | ICCAD | Dynamic thermal management in mobile devices considering the thermal coupling between battery and application processor. | Qing Xie, Jaemin Kim, Yanzhi Wang, Donghwa Shin, Naehyuck Chang, Massoud Pedram |
| 2013 | ICCD | Semi-analytical current source modeling of near-threshold operating logic cells considering process variations. | Qing Xie, Tiansong Cui, Yanzhi Wang, Shahin Nazarian, Massoud Pedram |
| 2013 | ISLPED | A framework of concurrent task scheduling and dynamic voltage and frequency scaling in real-time embedded systems with energy harvesting. | Xue Lin, Yanzhi Wang, Siyu Yue, Naehyuck Chang, Massoud Pedram |
| 2013 | ISLPED | Maximum power transfer tracking in a solar USB charger for smartphones. | Sangyoung Park, Bumkyu Koh, Yanzhi Wang, Jaemin Kim, Younghyun Kim, Massoud Pedram, Naehyuck Chang |
| 2013 | ISLPED | SIMES: A simulator for hybrid electrical energy storage systems. | Siyu Yue, Di Zhu, Yanzhi Wang, Massoud Pedram, Younghyun Kim, Naehyuck Chang |
| 2012 | ASPDAC | Charge replacement in hybrid electrical energy storage systems. | Qing Xie, Yanzhi Wang, Massoud Pedram, Younghyun Kim, Donghwa Shin, Naehyuck Chang |
| 2012 | DAC | Networked architecture for hybrid electrical energy storage systems. | Younghyun Kim, Sangyoung Park, Naehyuck Chang, Qing Xie, Yanzhi Wang, Massoud Pedram |
| 2012 | DAC | Near-optimal, dynamic module reconfiguration in a photovoltaic system to combat partial shading effects. | Xue Lin, Yanzhi Wang, Siyu Yue, Donghwa Shin, Naehyuck Chang, Massoud Pedram |
| 2012 | DATE | Multiple-source and multiple-destination charge migration in hybrid electrical energy storage systems. | Yanzhi Wang, Qing Xie, Massoud Pedram, Younghyun Kim, Naehyuck Chang, Massimo Poncino |
| 2012 | DATE | State of health aware charge management in hybrid electrical energy storage systems. | Qing Xie, Xue Lin, Yanzhi Wang, Massoud Pedram, Donghwa Shin, Naehyuck Chang |
| 2012 | ICCAD | Online fault detection and tolerance for photovoltaic energy harvesting systems. | Xue Lin, Yanzhi Wang, Di Zhu, Naehyuck Chang, Massoud Pedram |
| 2012 | ICCD | Reinforcement learning based dynamic power management with a hybrid power supply. | Siyu Yue, Di Zhu, Yanzhi Wang, Massoud Pedram |
| 2012 | ISLPED | Power conversion efficiency characterization and optimization for smartphones. | Woojoo Lee, Yanzhi Wang, Donghwa Shin, Naehyuck Chang, Massoud Pedram |
| 2012 | ISLPED | Battery management for grid-connected PV systems with a battery. | Sangyoung Park, Yanzhi Wang, Younghyun Kim, Naehyuck Chang, Massoud Pedram |
| 2012 | ISLPED | Dynamic reconfiguration of photovoltaic energy harvesting system in hybrid electric vehicles. | Yanzhi Wang, Xue Lin, Naehyuck Chang, Massoud Pedram |
| 2011 | DAC | Deriving a near-optimal power management policy using model-free reinforcement learning and Bayesian classification. | Yanzhi Wang, Qing Xie, Ahmed Chiheb Ammari, Massoud Pedram |
| 2011 | DATE | Battery-supercapacitor hybrid system for high-rate pulsed load applications. | Donghwa Shin, Younghyun Kim, Jaeam Seo, Naehyuck Chang, Yanzhi Wang, Massoud Pedram |
| 2011 | ICCAD | Balanced reconfiguration of storage banks in a hybrid electrical energy storage system. | Younghyun Kim, Sangyoung Park, Yanzhi Wang, Qing Xie, Naehyuck Chang, Massimo Poncino, Massoud Pedram |
| 2011 | ISLPED | Versatile high-fidelity photovoltaic module emulation system. | Woojoo Lee, Younghyun Kim, Yanzhi Wang, Naehyuck Chang, Massoud Pedram, Soohee Han |
| 2011 | ISLPED | Charge migration efficiency optimization in hybrid electrical energy storage (HEES) systems. | Yanzhi Wang, Younghyun Kim, Qing Xie, Naehyuck Chang, Massoud Pedram |
| 2010 | ICNC | Dynamics analysis of fractional order three-dimensional Hopfield neural network. | Ran Zhang, Dawei Qi, Yanzhi Wang |
| 2010 | ISLPED | Maximum power transfer tracking for a photovoltaic-supercapacitor energy system. | Younghyun Kim, Naehyuck Chang, Yanzhi Wang, Massoud Pedram |
| 2010 | ISLPED | Hybrid electrical energy storage systems. | Massoud Pedram, Naehyuck Chang, Younghyun Kim, Yanzhi Wang |