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Ji Li 0006
Person information
- affiliation (PhD 2018): University of Southern California, Department of Electrical Engineering, Los Angeles, CA, USA
Other persons with the same name
- Ji Li — disambiguation page
- Ji Li 0001
— Stony Brook University, Department of Electrical and Computer Engineering, NY, USA
- Ji Li 0002
- Ji Li 0003
- Ji Li 0004
- Ji Li 0005
- Ji Li 0007
- Ji Li 0008
- Ji Li 0009
- Ji Li 0010 — Massachusetts Institute of Technology, Cambridge, MA, USA
- Ji Li 0011
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2020 – today
- 2024
- [c29]Jialiang Zhu, Danqing Huang, Chunyu Wang, Mingxi Cheng, Ji Li, Han Hu, Xin Geng, Baining Guo:
Unsupervised Graphic Layout Grouping with Transformers. WACV 2024: 1020-1029 - [i11]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 abs/2406.09397 (2024) - 2023
- [c28]Mingxi Cheng, Fatima Zohra Daha, Amit Srivastava, Ji Li:
Generation-Based Data Augmentation Pipeline for Real-Time Automatic Gesture Recognition. ICAART (2) 2023: 437-446 - [c27]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. ICCV (Workshops) 2023: 294-304 - [c26]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: 5113-5121 - 2022
- [i10]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 abs/2201.11934 (2022) - [i9]Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng
ClipCrop: Conditioned Cropping Driven by Vision-Language Model. CoRR abs/2211.11492 (2022) - 2021
- [c25]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: 3600-3610 - [c24]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: 7676-7682 - [i8]Jieren Deng, Yijue Wang, Ji Li, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding:
TAG: Transformer Attack from Gradient. CoRR abs/2103.06819 (2021) - 2020
- [j9]Mingxi Cheng
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): 2925-2937 (2020) - [c23]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: 3187-3199 - [c22]Bingbing Li, Santosh Pandey
FTRANS: energy-efficient acceleration of transformers using FPGA. ISLPED 2020: 175-180 - [i7]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 abs/2007.08563 (2020) - [i6]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 abs/2009.08065 (2020)
2010 – 2019
- 2019
- [j8]Yang Zhang
Yield modelling and analysis of bundled data and ring-oscillator based designs. IET Comput. Digit. Tech. 13(3): 262-272 (2019) - [j7]Ji Li, Zihao Yuan
Normalization and dropout for stochastic computing-based deep convolutional neural networks. Integr. 65: 395-403 (2019) - [j6]Zhe Li
HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(8): 1543-1556 (2019) - [c21]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: 1-8 - [i5]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 abs/1912.10808 (2019) - 2018
- [j5]Tiansong Cui
An Exploration of Applying Gate-Length-Biasing Techniques to Deeply-Scaled FinFETs Operating in Multiple Voltage Regimes. IEEE Trans. Emerg. Top. Comput. 6(2): 172-183 (2018) - [c20]Mingxi Cheng, Ji Li, Shahin Nazarian:
DRL-cloud: Deep reinforcement learning-based resource provisioning and task scheduling for cloud service providers. ASP-DAC 2018: 129-134 - [c19]Hanchen Yang, Feiyang Kang, Caiwen Ding
Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators. DATE 2018: 877-880 - [c18]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: 383-388 - [c17]Zhe Li, Ji Li, Ao Ren, Caiwen Ding
Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing. ISVLSI 2018: 28-33 - [i4]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 abs/1804.01574 (2018) - [i3]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 abs/1805.04142 (2018) - 2017
- [j4]Caiwen Ding
Multisource Indoor Energy Harvesting for Nonvolatile Processors. IEEE Des. Test 34(3): 42-49 (2017) - [j3]Ji Li
CTS2M: concurrent task scheduling and storage management for residential energy consumers under dynamic energy pricing. IET Cyper-Phys. Syst.: Theory & Appl. 2(3): 111-117 (2017) - [j2]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): 53:1-53:25 (2017) - [j1]Ji Li, Jeffrey Draper:
Accelerated Soft-Error-Rate (SER) Estimation for Combinational and Sequential Circuits. ACM Trans. Design Autom. Electr. Syst. 22(3): 57:1-57:21 (2017) - [c16]Ji Li, Ao Ren, Zhe Li, Caiwen Ding
Towards acceleration of deep convolutional neural networks using stochastic computing. ASP-DAC 2017: 115-120 - [c15]Caiwen Ding
Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system. ASP-DAC 2017: 318-323 - [c14]Ao Ren, Zhe Li, Caiwen Ding
SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. ASPLOS 2017: 405-418 - [c13]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: 250-253 - [c12]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: 427-430 - [c11]Zihao Yuan
Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks. ACM Great Lakes Symposium on VLSI 2017: 467-470 - [c10]Ji Li, Zihao Yuan
Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. IJCNN 2017: 1230-1236 - [c9]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: 174-179 - [i2]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 abs/1703.04135 (2017) - 2016
- [c8]Ji Li, Jeffrey Draper:
Accelerating soft-error-rate (SER) estimation in the presence of single event transients. DAC 2016: 55:1-55:6 - [c7]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: 678-681 - [c6]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: 263-268 - [c5]Ji Li, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram:
Negotiation-based resource provisioning and task scheduling algorithm for cloud systems. ISQED 2016: 338-343 - [c4]Ji Li, Jeffrey T. Draper:
Joint Soft-Error-Rate (SER) Estimation for Combinational Logic and Sequential Elements. ISVLSI 2016: 737-742 - [i1]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 abs/1611.05939 (2016) - 2015
- [c3]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: 261-266 - [c2]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: 1579-1582 - 2014
- [c1]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: 1-6
Coauthor Index
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