Negotiation-based task scheduling to minimize user's electricity bills under dynamic energy prices. - Ji Li 006; Yanzhi Wang; Tiansong Cui; Shahin Nazarian; Massoud Pedram (OnlineGreenComm, 2014)

Negotiation-based task scheduling and storage control algorithm to minimize user's electric bills under dynamic prices. - Ji Li 006; Yanzhi Wang; Xue Lin 001; Shahin Nazarian; Massoud Pedram (ASP-DAC, 2015)

Leakage power reduction for deeply-scaled FinFET circuits operating in multiple voltage regimes using fine-grained gate-length biasing technique. - Ji Li 006; Qing Xie 001; Yanzhi Wang; Shahin Nazarian; Massoud Pedram (DATE, 2015)

Accelerating soft-error-rate (SER) estimation in the presence of single event transients. - Ji Li 006; Jeffrey Draper (DAC, 2016)

DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks. - Zhe Li 001; Ao Ren; Ji Li 006; Qinru Qiu; Yanzhi Wang; Bo Yuan 001 (ICCD, 2016)

An efficient timing analysis model for 6T FinFET SRAM using current-based method. - Tiansong Cui; Ji Li 006; Alireza Shafaei; Shahin Nazarian; Massoud Pedram (ISQED, 2016)

Negotiation-based resource provisioning and task scheduling algorithm for cloud systems. - Ji Li 006; Yanzhi Wang; Xue Lin 001; Shahin Nazarian; Massoud Pedram (ISQED, 2016)

Joint Soft-Error-Rate (SER) Estimation for Combinational Logic and Sequential Elements. - Ji Li 006; Jeffrey T. Draper (ISVLSI, 2016)

Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system. - Caiwen Ding; Ji Li 006; Weiwei Zheng; Naehyuck Chang; Xue Lin 001; Yanzhi Wang (ASP-DAC, 2017)

Towards acceleration of deep convolutional neural networks using stochastic computing. - Ji Li 006; Ao Ren; Zhe Li 001; Caiwen Ding; Bo Yuan 001; Qinru Qiu; Yanzhi Wang (ASP-DAC, 2017)

SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. - Ao Ren; Zhe Li 001; Caiwen Ding; Qinru Qiu; Yanzhi Wang; Ji Li 006; Xuehai Qian; Bo Yuan 001 (ASPLOS, 2017)

Structural design optimization for deep convolutional neural networks using stochastic computing. - Zhe Li 001; Ao Ren; Ji Li 006; Qinru Qiu; Bo Yuan 001; Jeffrey Draper; Yanzhi Wang (DATE, 2017)

Deadline-Aware Joint Optimization of Sleep Transistor and Supply Voltage for FinFET Based Embedded Systems. - Huimei Cheng; Ji Li 006; Jeffrey T. Draper; Shahin Nazarian; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2017)

Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks. - Zihao Yuan; Ji Li 006; Zhe Li 001; Caiwen Ding; Ao Ren; Bo Yuan 001; Qinru Qiu; Jeffrey Draper; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2017)

Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. - Ji Li 006; Zihao Yuan; Zhe Li 001; Caiwen Ding; Ao Ren; Qinru Qiu; Jeffrey Draper; Yanzhi Wang (IJCNN, 2017)

Fast and energy-aware resource provisioning and task scheduling for cloud systems. - Hongjia Li; Ji Li 006; Wang Yao; Shahin Nazarian; Xue Lin 001; Yanzhi Wang (ISQED, 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)

CTS2M: concurrent task scheduling and storage management for residential energy consumers under dynamic energy pricing. - Ji Li 006; Xue Lin 001; Shahin Nazarian; Massoud Pedram (IET Cyper-Phys. Syst.: Theory & Appl., 2017)

Accelerated Soft-Error-Rate (SER) Estimation for Combinational and Sequential Circuits. - Ji Li 006; Jeffrey Draper (ACM Trans. Design Autom. Electr. Syst., 2017)

Fundamental Challenges Toward Making the IoT a Reachable Reality: A Model-Centric Investigation. - Yuankun Xue; Ji Li 006; Shahin Nazarian; Paul Bogdan (ACM Trans. Design Autom. Electr. Syst., 2017)

DRL-cloud: Deep reinforcement learning-based resource provisioning and task scheduling for cloud service providers. - Mingxi Cheng; Ji Li 006; Shahin Nazarian (ASP-DAC, 2018)

Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators. - Hanchen Yang; Feiyang Kang; Caiwen Ding; Ji Li 006; Jaemin Kim; Donkyu Baek; Shahin Nazarian; Xue Lin 001; Paul Bogdan; Naehyuck Chang (DATE, 2018)

High performance training of deep neural networks using pipelined hardware acceleration and distributed memory. - Raghav Mehta; Yuyang Huang; Mingxi Cheng; Shrey Bagga; Nishant Mathur; Ji Li 006; Jeffrey Draper; Shahin Nazarian (ISQED, 2018)

Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing. - Zhe Li 001; Ji Li 006; Ao Ren; Caiwen Ding; Jeffrey Draper; Qinru Qiu; Bo Yuan 001; Yanzhi Wang (ISVLSI, 2018)

An Exploration of Applying Gate-Length-Biasing Techniques to Deeply-Scaled FinFETs Operating in Multiple Voltage Regimes. - Tiansong Cui; Ji Li 006; Yanzhi Wang; Shahin Nazarian; Massoud Pedram (IEEE Trans. Emerg. Top. Comput., 2018)

Efficient Cloud Resource Management using Neuromorphic Modeling and Prediction for Virtual Machine Resource Utilization. - Zhe Li 001; Xiaolong Ma; Ji Li 006; Qinru Qiu; Yanzhi Wang (ICESS, 2019)

H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers. - Mingxi Cheng; Ji Li 006; Paul Bogdan; Shahin Nazarian (CoRR, 2019)

Yield modelling and analysis of bundled data and ring-oscillator based designs. - Yang Zhang 014; Ji Li 006; Huimei Cheng; Haipeng Zha 001; Jeffrey Draper; Peter A. Beerel (IET Comput. Digit. Tech., 2019)

Normalization and dropout for stochastic computing-based deep convolutional neural networks. - Ji Li 006; Zihao Yuan; Zhe Li 001; Ao Ren; Caiwen Ding; Jeffrey Draper; Shahin Nazarian; Qinru Qiu; Bo Yuan 001; Yanzhi Wang (Integr., 2019)

HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. - Zhe Li 001; Ji Li 006; Ao Ren; Ruizhe Cai; Caiwen Ding; Xuehai Qian; Jeffrey Draper; Bo Yuan 001; Jian Tang 008; Qinru Qiu; Yanzhi Wang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning. - Bingbing Li; Zhenglun Kong; Tianyun Zhang; Ji Li 006; Zhengang Li; Hang Liu 001; Caiwen Ding (EMNLP (Findings), 2020)

FTRANS: energy-efficient acceleration of transformers using FPGA. - Bingbing Li; Santosh Pandey; Haowen Fang; Yanjun Lyv; Ji Li 006; Jieyang Chen; Mimi Xie; Lipeng Wan 001; Hang Liu 001; Caiwen Ding (ISLPED, 2020)

H₂O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers. - Mingxi Cheng; Ji Li 006; Paul Bogdan; Shahin Nazarian (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

TAG: Gradient Attack on Transformer-based Language Models. - Jieren Deng; Yijue Wang; Ji Li 006; Chenghong Wang; Chao Shang; Hang Liu 001; Sanguthevar Rajasekaran; Caiwen Ding (EMNLP (Findings), 2021)

A Secure and Efficient Federated Learning Framework for NLP. - Chenghong Wang; Jieren Deng; Xianrui Meng; Yijue Wang; Ji Li 006; Sheng Lin 001; Shuo Han 002; Fei Miao; Sanguthevar Rajasekaran; Caiwen Ding (EMNLP (1), 2021)

TAG: Transformer Attack from Gradient. - Jieren Deng; Yijue Wang; Ji Li 006; Chao Shang; Hang Liu 001; Sanguthevar Rajasekaran; Caiwen Ding (CoRR, 2021)

Generation-Based Data Augmentation Pipeline for Real-Time Automatic Gesture Recognition. - Mingxi Cheng; Fatima Zohra Daha; Amit Srivastava; Ji Li 006 (ICAART (2), 2023)

ClipCrop: Conditioned Cropping Driven by Vision-Language Model. - Zhihang Zhong; Mingxi Cheng; Zhirong Wu; Yuhui Yuan; Yinqiang Zheng; Ji Li 006; Han Hu 001; Stephen Lin 001; Yoichi Sato 001; Imari Sato (ICCV (Workshops), 2023)

Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models. - Bingbing Li; Zigeng Wang; Shaoyi Huang; Mikhail A. Bragin; Ji Li 006; Caiwen Ding (IJCAI, 2023)

COLE: A Hierarchical Generation Framework for Graphic Design. - Peidong Jia; Chenxuan Li; Zeyu Liu; Yichao Shen 001; Xingru Chen; Yuhui Yuan; Yinglin Zheng; Dong Chen 003; Ji Li 006; Xiaodong Xie; Shanghang Zhang; Baining Guo (CoRR, 2023)

Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering. - Zeyu Liu; Weicong Liang; Zhanhao Liang; Chong Luo; Ji Li 006; Gao Huang 001; Yuhui Yuan (ECCV (75), 2024)

FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent Font Effect Generation. - Xinzhi Mu; Li Chen; Bohan Chen; Shuyang Gu; Jianmin Bao; Dong Chen 003; Ji Li 006; Yuhui Yuan (ECCV (58), 2024)

Efficient Diffusion Transformer with Step-Wise Dynamic Attention Mediators. - Yifan Pu; Zhuofan Xia; Jiayi Guo; Dongchen Han; Qixiu Li; Duo Li; Yuhui Yuan; Ji Li 006; Yizeng Han; Shiji Song; Gao Huang 001; Xiu Li 001 (ECCV (15), 2024)

Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms. - Miaosen Zhang; Yixuan Wei; Zhen Xing; Yifei Ma; Zuxuan Wu; Ji Li 006; Zheng Zhang 022; Qi Dai 001; Chong Luo; Xin Geng 001; Baining Guo (NeurIPS, 2024)

Unsupervised Graphic Layout Grouping with Transformers. - Jialiang Zhu; Danqing Huang; Chunyu Wang 001; Mingxi Cheng; Ji Li 006; Han Hu 001; Xin Geng 001; Baining Guo (WACV, 2024)

DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing. - Yueru Jia; Yuhui Yuan; Aosong Cheng; Chuke Wang; Ji Li 006; Huizhu Jia; Shanghang Zhang (CoRR, 2024)

DesignEdit: Unify Spatial-Aware Image Editing via Training-free Inpainting with a Multi-Layered Latent Diffusion Framework. - Yueru Jia; Aosong Cheng; Yuhui Yuan; Chuke Wang; Ji Li 006; Huizhu Jia; Shanghang Zhang (AAAI, 2025)

ART: Anonymous Region Transformer for Variable Multi-Layer Transparent Image Generation. - Yifan Pu; Yiming Zhao; Zhicong Tang; Ruihong Yin; Haoxing Ye; Yuhui Yuan; Dong Chen 003; Jianmin Bao; Sirui Zhang; Yanbin Wang; Lin Liang; Lijuan Wang; et al. (CVPR, 2025)

PrismLayers: Open Data for High-Quality Multi-Layer Transparent Image Generative Models. - Junwen Chen; Heyang Jiang; Yanbin Wang; Keming Wu; Ji Li 006; Chao Zhang; Keiji Yanai; Dong Chen 003; Yuhui Yuan (CoRR, 2025)