| 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 |
| 2026 | WACV | AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness. | Pinrui Yu, Yiming Xie, Longtian Ye, Geng Yuan, Ningfang Mi, 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 | ASPDAC | LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network Inference. | Yanyue Xie, Zhengang Li, Dana Diaconu, Suranga Handagala, Miriam Leeser, Xue Lin |
| 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 | ICASSP | Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models. | Yize Li, Yihua Zhang, Sijia Liu, Xue Lin |
| 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 | 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 | 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 | Finding Needles in a Haystack: A Black-Box Approach to Invisible Watermark Detection. | Minzhou Pan, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin |
| 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 | 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 |
| 2024 | ISNCC | Adaptive Homogeneity-Based Client Selection Policy for Federated Learning. | Yiming Xie, Pinrui Yu, Geng Yuan, Xue Lin, Ningfang Mi |
| 2024 | IWQoS | SyncIntellects: Orchestrating LLM Inference with Progressive Prediction and QoS-Friendly Control. | Xue Lin, Zhibo Zhang, Peining Yue, Haoran Li, Jin Zhang, Baoyu Fan, Huayou Su, Xiaoli Gong |
| 2023 | AAAI | Less is More: Data Pruning for Faster Adversarial Training. | Yize Li, Pu Zhao, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn |
| 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 | CSCWD | Multi-modal medical image classification method combining graph convolution neural networks. | Xue Lin, Yushui Geng, Jing Zhao, Daquan Cheng, Xuefeng Zhang, Hu Liang |
| 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 | Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge. | Changdi Yang, Yi Sheng, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin |
| 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 | 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 | WWW | xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. | Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin |
| 2022 | AAAI | Adaptive Hypergraph Neural Network for Multi-Person Pose Estimation. | Xixia Xu, Qi Zou, Xue Lin |
| 2022 | CVPR | Location-Free Human Pose Estimation. | Xixia Xu, Yingguo Gao, Ke Yan, Xue Lin, Qi Zou |
| 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 | FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results. | Mengshu Sun, Zhengang Li, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang |
| 2022 | DATE | Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems. | Siyue Wang, Geng Yuan, Xiaolong Ma, Yanyu Li, Xue Lin, Bhavya Kailkhura |
| 2022 | FPGA | FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization. | Mengshu Sun, Zhengang Li, Alec Lu, Yanyu Li, Sung-En Chang, Xiaolong Ma, Xue Lin, Zhenman Fang |
| 2022 | FPL | Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. | Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang |
| 2022 | ICLR | Reverse Engineering of Imperceptible Adversarial Image Perturbations. | Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu |
| 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 | IJCAI | Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. | Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu |
| 2022 | WACV | More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression. | Hao Cheng, Kaidi Xu, Zhengang Li, Pu Zhao, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn |
| 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 | 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 | BMVC | Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks. | Siyue Wang, Pu Zhao, Xiao Wang, Sang Chin, Thomas Wahl, Yunsi Fei, Qi Alfred Chen, Xue Lin |
| 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 | 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 | 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 | 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 | ICLR | Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers. | Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh |
| 2021 | IJCAI | Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks. | Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin |
| 2021 | SP | Demo: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. | Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen |
| 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 | 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 | Towards Certificated Model Robustness Against Weight Perturbations. | Tsui-Wei Weng, Pu Zhao, Sijia Liu, Pin-Yu Chen, Xue Lin, Luca Daniel |
| 2020 | AAAI | Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. | Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin |
| 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 | RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. | Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao |
| 2020 | DAC | 3D CNN Acceleration on FPGA using Hardware-Aware Pruning. | Mengshu Sun, Pu Zhao, Mehmet Gngr, Massoud Pedram, Miriam Leeser, Xue Lin |
| 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 | ICASSP | AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks. | Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin |
| 2020 | ICASSP | Towards an Efficient and General Framework of Robust Training for Graph Neural Networks. | Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin |
| 2020 | ICCAD | New Passive and Active Attacks on Deep Neural Networks in Medical Applications. | Cheng Gongye, Hongjia Li, Xiang Zhang, Majid Sabbagh, Geng Yuan, Xue Lin, Thomas Wahl, Yunsi Fei |
| 2020 | ICLR | Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. | Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin |
| 2020 | IJCAI | Action-Guided Attention Mining and Relation Reasoning Network for Human-Object Interaction Detection. | Xue Lin, Qi Zou, Xixia Xu |
| 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 |
| 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 | 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 | 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 | 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 | 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 | ICCV | On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method. | Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin |
| 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 | Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. | Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin |
| 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 | A deep reinforcement learning framework for optimizing fuel economy of hybrid electric vehicles. | Pu Zhao, Yanzhi Wang, Naehyuck Chang, Qi Zhu, Xue Lin |
| 2018 | DATE | Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators. | Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang |
| 2018 | ICCAD | Defensive dropout for hardening deep neural networks under adversarial attacks. | Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin |
| 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 | 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 | IGARSS | An imaging strategy for high-precision and wide-beam airborne SAR system. | Xue Lin, Yueting Zhang, Dongsheng Fang, Lingyin Wang, Fangfang Li |
| 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 | IC2E | A Reinforcement Learning-Based Power Management Framework for Green Computing Data Centers. | Xue Lin, Yanzhi Wang, Massoud Pedram |
| 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 | IGARSS | A nonlocal interferometric phase filtering strategy for practical InSAR system. | Xue Lin, Dongsheng Fang, Fangfang Li, Ke 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 | 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 | ICCAD | Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost. | Xue Lin, Paul Bogdan, Naehyuck Chang, Massoud Pedram |
| 2015 | IGARSS | Study on effect factors of multisquint estimation of time-varying baseline errors in repeat-pass airborne SAR. | Xue Lin, Fangfang Li, Yueting Zhang, Dadi Meng, Donghui Hu, Chibiao Ding |
| 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 | 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 | 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 | IGARSS | Topography- and aperture-dependent motion compensation for airborne SAR: A back projection approach. | Dadi Meng, Xue Lin, Donghui Hu, Chibiao Ding, Jiayin Liu |
| 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 | 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 | 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 |
| 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 | 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 | IGARSS | A method of airborne InSAR DEM reconstruction in layover areas. | Fangfang Li, Bing Han, Xue Lin, Donghui Hu, Chibiao Ding |
| 2012 | ISLPED | Dynamic reconfiguration of photovoltaic energy harvesting system in hybrid electric vehicles. | Yanzhi Wang, Xue Lin, Naehyuck Chang, Massoud Pedram |