Ji Li

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 45

Top Topics

Storage Management

Virtual Machine

Convolutional Neural Networks

Top Venues

Publications

Miaosen Zhang, Yixuan Wei, Zhen Xing, Yifei Ma, Zuxuan Wu, Ji Li, Zheng Zhang, Qi Dai, Chong Luo, Xin Geng, Baining Guo
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms. CoRR (2024)
Jialiang Zhu, Danqing Huang, Chunyu Wang, Mingxi Cheng, Ji Li, Han Hu, Xin Geng, Baining Guo
Unsupervised Graphic Layout Grouping with Transformers. WACV (2024)
Bingbing Li, Zigeng Wang, Shaoyi Huang, Mikhail A. Bragin, Ji Li, Caiwen Ding
Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models. IJCAI (2023)
Mingxi Cheng, Fatima Zohra Daha, Amit Srivastava, Ji Li
Generation-Based Data Augmentation Pipeline for Real-Time Automatic Gesture Recognition. ICAART (2) (2023)
Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato
ClipCrop: Conditioned Cropping Driven by Vision-Language Model. CoRR (2022)
Jieren Deng, Chenghong Wang, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding
A Secure and Efficient Federated Learning Framework for NLP. CoRR (2022)
Chenghong Wang, Jieren Deng, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding
A Secure and Efficient Federated Learning Framework for NLP. EMNLP (1) (2021)
Jieren Deng, Yijue Wang, Ji Li, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding
TAG: Transformer Attack from Gradient. CoRR (2021)
Jieren Deng, Yijue Wang, Ji Li, Chenghong Wang, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding
TAG: Gradient Attack on Transformer-based Language Models. EMNLP (Findings) (2021)
Mingxi Cheng, Ji Li, Paul Bogdan, Shahin Nazarian
H₂O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (10) (2020)
Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA. CoRR (2020)
Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding
FTRANS: energy-efficient acceleration of transformers using FPGA. ISLPED (2020)
Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning. EMNLP (Findings) (2020)
Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning. CoRR (2020)
Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yanzhi Wang
HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (8) (2019)
Zhe Li, Xiaolong Ma, Ji Li, Qinru Qiu, Yanzhi Wang
Efficient Cloud Resource Management using Neuromorphic Modeling and Prediction for Virtual Machine Resource Utilization. ICESS (2019)
Ji Li, Zihao Yuan, Zhe Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Shahin Nazarian, Qinru Qiu, Bo Yuan, Yanzhi Wang
Normalization and dropout for stochastic computing-based deep convolutional neural networks. Integr. 65 (2019)
Mingxi Cheng, Ji Li, Paul Bogdan, Shahin Nazarian
H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers. CoRR (2019)
Yang Zhang, Ji Li, Huimei Cheng, Haipeng Zha, Jeffrey Draper, Peter A. Beerel
Yield modelling and analysis of bundled data and ring-oscillator based designs. IET Comput. Digit. Tech. 13 (3) (2019)
Zhe Li, Ji Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Qinru Qiu, Bo Yuan, Yanzhi Wang
Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing. ISVLSI (2018)
Tiansong Cui, Ji Li, Yanzhi Wang, Shahin Nazarian, Massoud Pedram
An Exploration of Applying Gate-Length-Biasing Techniques to Deeply-Scaled FinFETs Operating in Multiple Voltage Regimes. IEEE Trans. Emerg. Top. Comput. 6 (2) (2018)
Raghav Mehta, Yuyang Huang, Mingxi Cheng, Shrey Bagga, Nishant Mathur, Ji Li, Jeffrey Draper, Shahin Nazarian
High performance training of deep neural networks using pipelined hardware acceleration and distributed memory. ISQED (2018)
Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang
Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators. DATE (2018)
Zhe Li, Ji Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Qinru Qiu, Bo Yuan, Yanzhi Wang
Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks using Stochastic Computing. CoRR (2018)
Mingxi Cheng, Ji Li, Shahin Nazarian
DRL-cloud: Deep reinforcement learning-based resource provisioning and task scheduling for cloud service providers. ASP-DAC (2018)
Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang
Prediction-Based Fast Thermoelectric Generator Reconfiguration for Energy Harvesting from Vehicle Radiators. CoRR (2018)
Caiwen Ding, Ning Liu, Yanzhi Wang, Ji Li, Soroush Heidari, Jingtong Hu, Yongpan Liu
Multisource Indoor Energy Harvesting for Nonvolatile Processors. IEEE Des. Test 34 (3) (2017)
Yuankun Xue, Ji Li, Shahin Nazarian, Paul Bogdan
Fundamental Challenges Toward Making the IoT a Reachable Reality: A Model-Centric Investigation. ACM Trans. Design Autom. Electr. Syst. 22 (3) (2017)
Ji Li, Jeffrey Draper
Accelerated Soft-Error-Rate (SER) Estimation for Combinational and Sequential Circuits. ACM Trans. Design Autom. Electr. Syst. 22 (3) (2017)
Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang
Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. IJCNN (2017)
Ji Li, Ao Ren, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang
Towards acceleration of deep convolutional neural networks using stochastic computing. ASP-DAC (2017)
Zihao Yuan, Ji Li, Zhe Li, Caiwen Ding, Ao Ren, Bo Yuan, Qinru Qiu, Jeffrey Draper, Yanzhi Wang
Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks. ACM Great Lakes Symposium on VLSI (2017)
Ji Li, Xue Lin, Shahin Nazarian, Massoud Pedram
CTS2M: concurrent task scheduling and storage management for residential energy consumers under dynamic energy pricing. IET Cyper-Phys. Syst.: Theory & Appl. 2 (3) (2017)
Hongjia Li, Ji Li, Wang Yao, Shahin Nazarian, Xue Lin, Yanzhi Wang
Fast and energy-aware resource provisioning and task scheduling for cloud systems. ISQED (2017)
Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey T. Draper, Yanzhi Wang
Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks. CoRR (2017)
Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan
SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. ASPLOS (2017)
Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Bo Yuan, Jeffrey Draper, Yanzhi Wang
Structural design optimization for deep convolutional neural networks using stochastic computing. DATE (2017)
Huimei Cheng, Ji Li, Jeffrey T. Draper, Shahin Nazarian, Yanzhi Wang
Deadline-Aware Joint Optimization of Sleep Transistor and Supply Voltage for FinFET Based Embedded Systems. ACM Great Lakes Symposium on VLSI (2017)
Caiwen Ding, Ji Li, Weiwei Zheng, Naehyuck Chang, Xue Lin, Yanzhi Wang
Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system. ASP-DAC (2017)
Ji Li, Jeffrey Draper
Accelerating soft-error-rate (SER) estimation in the presence of single event transients. DAC (2016)
Ji Li, Jeffrey T. Draper
Joint Soft-Error-Rate (SER) Estimation for Combinational Logic and Sequential Elements. ISVLSI (2016)
Ji Li, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram
Negotiation-based resource provisioning and task scheduling algorithm for cloud systems. ISQED (2016)
Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Yanzhi Wang, Bo Yuan
DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks. ICCD (2016)
Ao Ren, Ji Li, Zhe Li, Caiwen Ding, Xuehai Qian, Qinru Qiu, Bo Yuan, Yanzhi Wang
SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. CoRR (2016)
Tiansong Cui, Ji Li, Alireza Shafaei, Shahin Nazarian, Massoud Pedram
An efficient timing analysis model for 6T FinFET SRAM using current-based method. ISQED (2016)
Ji Li, Qing Xie, Yanzhi Wang, Shahin Nazarian, Massoud Pedram
Leakage power reduction for deeply-scaled FinFET circuits operating in multiple voltage regimes using fine-grained gate-length biasing technique. DATE (2015)
Ji Li, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram
Negotiation-based task scheduling and storage control algorithm to minimize user's electric bills under dynamic prices. ASP-DAC (2015)
Ji Li, Yanzhi Wang, Tiansong Cui, Shahin Nazarian, Massoud Pedram
Negotiation-based task scheduling to minimize user's electricity bills under dynamic energy prices. OnlineGreenComm (2014)