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ORCIDYanjing Li
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2020 – today
- 2024
[j14]Yuexia Han, Di Sun, Yanjing Li:
A privacy protection method for IoT nodes based on convolutional neural network. Int. J. Reason. based Intell. Syst. 16(1): 16-25 (2024)- [j13]Xinzhou Zhao, Tian Wang
, Yanjing Li, Baochang Zhang, Kexin Liu, Deyuan Liu, Chuanyun Wang, Hichem Snoussi:
Target-Driven Visual Navigation by Using Causal Intervention. IEEE Trans. Intell. Veh. 9(1): 1294-1304 (2024) - [c42]Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang:
Bi-ViT: Pushing the Limit of Vision Transformer Quantization. AAAI 2024: 3243-3251 - [c41]Cyrus Zhou, Zack Hassman, Dhirpal Shah, Vaughn Richard, Yanjing Li:
YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs. CC 2024: 212-226 - [c40]Sheng Xu, Mingze Wang, Yanjing Li, Mingbao Lin, Baochang Zhang, David S. Doermann, Xiao Sun:
Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement. ICML 2024 - [c39]Mingyuan Xiang, Xuhan Xie, Pedro Savarese, Xin Yuan, Michael Maire, Yanjing Li:
Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators. VTS 2024: 1-7 - [i20]Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Vignesh C. Bhethanabotla, Nakul Rampal, Omar Yaghi, Christian Borgs, Anima Anandkumar, Hongyu Guo, Jennifer T. Chayes:
A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics. CoRR abs/2401.15122 (2024) - [i19]Mingyuan Xiang, Xuhan Xie, Pedro Savarese, Xin Yuan, Michael Maire, Yanjing Li:
Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators. CoRR abs/2404.15498 (2024) - [i18]Andronicus Rajasukumar, Jiya Su, Yuqing Wang, Tianshuo Su, Marziyeh Nourian, Jose M. Monsalve Diaz, Tianchi Zhang, Jianru Ding, Wenyi Wang, Ziyi Zhang, Moubarak Jeje, Henry Hoffmann, Yanjing Li, Andrew A. Chien:
UpDown: Programmable fine-grained Events for Scalable Performance on Irregular Applications. CoRR abs/2407.20773 (2024) - 2023
- [j12]Di Sun, Yanjing Li, Yuexia Han:
A reinforcement learning-based multimodal scenario hazardous behaviour recognition method. Int. J. Comput. Intell. Stud. 12(1/2) (2023) - [j11]Di Sun, Yanjing Li, Yuexia Han:
A Reinforcement Learning-Based Multimodal Scenario Hazardous Behavior Recognition Method. Int. J. Comput. Intell. Stud. 12(2) (2023) - [j10]Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo:
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs. Int. J. Comput. Vis. 131(11): 2793-2815 (2023) - [j9]Mingdai Yang, Qiuwen Lou, Ramin Rajaei, Mohammad Reza Jokar, Junyi Qiu, Yuming Liu, Aditi Udupa, Frederic T. Chong, John M. Dallesasse, Milton Feng, Lynford L. Goddard, X. Sharon Hu, Yanjing Li:
A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals. ACM J. Emerg. Technol. Comput. Syst. 19(2): 14:1-14:24 (2023) - [c38]Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu:
Resilient Binary Neural Network. AAAI 2023: 10620-10628 - [c37]Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lü, Baochang Zhang:
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. CVPR 2023: 3842-3851 - [c36]Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang:
Implicit Diffusion Models for Continuous Super-Resolution. CVPR 2023: 10021-10030 - [c35]Yuming Liu, Angel Yanguas-Gil, Sandeep Madireddy, Yanjing Li:
Memristor-Spikelearn: A Spiking Neural Network Simulator for Studying Synaptic Plasticity under Realistic Device and Circuit Behaviors. DATE 2023: 1-6 - [c34]Yi He, Yanjing Li:
Understanding Permanent Hardware Failures in Deep Learning Training Accelerator Systems. ETS 2023: 1-6 - [c33]Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao:
Representation Disparity-aware Distillation for 3D Object Detection. ICCV 2023: 6692-6701 - [c32]Yi He, Mike Hutton, Steven Chan, Robert De Gruijl, Rama Govindaraju, Nishant Patil, Yanjing Li:
Understanding and Mitigating Hardware Failures in Deep Learning Training Systems. ISCA 2023: 70:1-70:16 - [c31]Yanjing Li, Sheng Xu, Xianbin Cao, Xiao Sun, Baochang Zhang:
Q-DM: An Efficient Low-bit Quantized Diffusion Model. NeurIPS 2023 - [c30]Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhi-Ming Ma, Omar Yaghi, Animashree Anandkumar, Christian Borgs, Jennifer T. Chayes, Hongyu Guo, Jian Tang:
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. NeurIPS 2023 - [i17]Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lv:
Resilient Binary Neural Network. CoRR abs/2302.00956 (2023) - [i16]Huixin Sun, Baochang Zhang, Yanjing Li, Xianbin Cao:
Confidence-driven Bounding Box Localization for Small Object Detection. CoRR abs/2303.01803 (2023) - [i15]Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang:
Implicit Diffusion Models for Continuous Super-Resolution. CoRR abs/2303.16491 (2023) - [i14]Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lu, Baochang Zhang:
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. CoRR abs/2304.00253 (2023) - [i13]Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang:
Bi-ViT: Pushing the Limit of Vision Transformer Quantization. CoRR abs/2305.12354 (2023) - [i12]Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhiming Ma, Omar Yaghi, Anima Anandkumar, Christian Borgs, Jennifer T. Chayes, Hongyu Guo, Jian Tang:
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. CoRR abs/2306.09375 (2023) - [i11]Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo:
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs. CoRR abs/2306.15390 (2023) - [i10]Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao:
Representation Disparity-aware Distillation for 3D Object Detection. CoRR abs/2308.10308 (2023) - [i9]Cyrus Zhou, Zack Hassman, Ruize Xu, Dhirpal Shah, Vaughn Richard, Yanjing Li:
SIMD Dataflow Co-optimization for Efficient Neural Networks Inferences on CPUs. CoRR abs/2310.00574 (2023) - [i8]Cyrus Zhou, Vaughn Richard, Pedro Savarese, Zachary Hassman, Michael Maire, Michael DiBrino, Yanjing Li:
SySMOL: A Hardware-software Co-design Framework for Ultra-Low and Fine-Grained Mixed-Precision Neural Networks. CoRR abs/2311.14114 (2023) - 2022
- [j8]Sheng Xu, Yanjing Li, Linlin Yang, Baochang Zhang, Dianmin Sun, Kexin Liu:
Filter pruning via expectation-maximization. Neural Comput. Appl. 34(15): 12807-12818 (2022) - [c29]Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lü, Guodong Guo:
Recurrent Bilinear Optimization for Binary Neural Networks. ECCV (24) 2022: 19-35 - [c28]Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lü:
IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors. ECCV (11) 2022: 346-361 - [c27]Takumi Uezono, Yi He, Yanjing Li:
Achieving Automotive Safety Requirements through Functional In-Field Self-Test for Deep Learning Accelerators. ITC 2022: 465-473 - [c26]Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo:
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer. NeurIPS 2022 - [c25]Pedro Savarese, Xin Yuan, Yanjing Li, Michael Maire:
Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise. NeurIPS 2022 - [c24]Mehdi Sadi, Yi He, Yanjing Li, Mahabubul Alam, Satwik Kundu, Swaroop Ghosh, Javad Bahrami, Naghmeh Karimi:
Special Session: On the Reliability of Conventional and Quantum Neural Network Hardware. VTS 2022: 1-12 - [i7]Sheng Xu, Yanjing Li, Teli Ma, Bohan Zeng, Baochang Zhang, Peng Gao, Jinhu Lv:
TerViT: An Efficient Ternary Vision Transformer. CoRR abs/2201.08050 (2022) - [i6]Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lv, Guodong Guo:
Recurrent Bilinear Optimization for Binary Neural Networks. CoRR abs/2209.01542 (2022) - [i5]Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lv:
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors. CoRR abs/2210.03477 (2022) - [i4]Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo:
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer. CoRR abs/2210.06707 (2022) - 2021
- [j7]Qingqing Huang, Zhengtang Tan, Yanjing Li, Wenzhu Wang, Mei Lang, Changying Li, Zhiyun Guo:
Tfcancer: a manually curated database of transcription factors associated with human cancers. Bioinform. 37(22): 4288-4290 (2021) - [c23]Sheng Xu, Junhe Zhao, Yanjing Li, Baochang Zhang, Guodong Guo:
POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing. BMVC 2021: 36 - [c22]Mingdai Yang, Mohammad Reza Jokar, Junyi Qiu, Qiuwen Lou, Yuming Liu, Aditi Udupa, Frederic T. Chong, John M. Dallesasse, Milton Feng, Lynford L. Goddard, X. Sharon Hu, Yanjing Li:
A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals. ACM Great Lakes Symposium on VLSI 2021: 271-276 - [c21]Yi He, Takumi Uezono, Yanjing Li:
Efficient Functional In-Field Self-Test for Deep Learning Accelerators. ITC 2021: 93-102 - [i3]Sheng Xu, Yanjing Li, Junhe Zhao, Baochang Zhang, Guodong Guo:
POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing. CoRR abs/2111.13386 (2021) - 2020
- [c20]Mohammad Reza Jokar, Junyi Qiu, Frederic T. Chong, Lynford L. Goddard, John M. Dallesasse, Milton Feng, Yanjing Li:
Baldur: A Power-Efficient and Scalable Network Using All-Optical Switches. HPCA 2020: 153-166 - [c19]Yi He, Prasanna Balaprakash, Yanjing Li:
FIdelity: Efficient Resilience Analysis Framework for Deep Learning Accelerators. MICRO 2020: 270-281
2010 – 2019
- 2019
- [j6]Bo Wang, Yanjing Li, Fei Yang, Xiaohua Xia:
A Competitive Swarm Optimizer-Based Technoeconomic Optimization with Appliance Scheduling in Domestic PV-Battery Hybrid Systems. Complex. 2019: 4824837:1-4824837:15 (2019) - [c18]Xin-Chuan Wu, Timothy Sherwood, Frederic T. Chong, Yanjing Li:
Protecting Page Tables from RowHammer Attacks using Monotonic Pointers in DRAM True-Cells. ASPLOS 2019: 645-657 - [c17]Eric Cheng, Daniel Mueller-Gritschneder, Jacob A. Abraham, Pradip Bose, Alper Buyuktosunoglu, Deming Chen, Hyungmin Cho, Yanjing Li, Uzair Sharif, Kevin Skadron, Mircea Stan, Ulf Schlichtmann, Subhasish Mitra:
Cross-Layer Resilience: Challenges, Insights, and the Road Ahead. DAC 2019: 198 - [c16]Yan Verdeja Herms, Yanjing Li:
Crash Skipping: A Minimal-Cost Framework for Efficient Error Recovery in Approximate Computing Environments. ACM Great Lakes Symposium on VLSI 2019: 129-134 - [c15]Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen:
Two-Stream Multi-Task Network for Fashion Recognition. ICIP 2019: 3038-3042 - [c14]Yi He, Yanjing Li:
Time-Slicing Soft Error Resilience in Microprocessors for Reliable and Energy-Efficient Execution. ITC 2019: 1-10 - [c13]Mohammad Reza Jokar, Lunkai Zhang, John M. Dallesasse, Frederic T. Chong, Yanjing Li:
Direct-modulated optical networks for interposer systems. NOCS 2019: 10:1-10:8 - [i2]Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen:
Two-Stream Multi-Task Network for Fashion Recognition. CoRR abs/1901.10172 (2019) - [i1]Xiaolong Jiang, Peizhao Li, Yanjing Li, Xiantong Zhen:
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking. CoRR abs/1907.05315 (2019) - 2017
- [j5]Yanjing Li, Xiaoning Zhu, Li Wang, Xi Chen:
Stowage Plan Based Slot Optimal Allocation in Rail-Water Container Terminal. J. Control. Sci. Eng. 2017: 5489597:1-5489597:10 (2017) - [c12]Xiaoan Ding, Xi Liang, Yanjing Li:
Cross-layer refresh mitigation for efficient and reliable DRAM systems: A comparative study. ITC 2017: 1-10 - 2014
- [j4]David Lin, Ted Hong, Yanjing Li, Eswaran S, Sharad Kumar, Farzan Fallah, Nagib Hakim, Donald S. Gardner, Subhasish Mitra:
Effective Post-Silicon Validation of System-on-Chips Using Quick Error Detection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(10): 1573-1590 (2014) - [c11]Subhasish Mitra, Pradip Bose, Eric Cheng, Chen-Yong Cher, Hyungmin Cho, Rajiv V. Joshi, Young Moon Kim, Charles R. Lefurgy, Yanjing Li, Kenneth P. Rodbell, Kevin Skadron, James H. Stathis, Lukasz G. Szafaryn:
The resilience wall: Cross-layer solution strategies. VLSI-DAT 2014: 1-11 - [c10]Alodeep Sanyal, Yanjing Li:
Special session 11C: Young professionals in test - Elevator talks. VTS 2014: 1 - [c9]Alodeep Sanyal, Yanjing Li, Yervant Zorian:
Special session 12C: Young professionals in test - Town meeting. VTS 2014: 1 - 2013
- [c8]David Lin, Ted Hong, Yanjing Li, Farzan Fallah, Donald S. Gardner, Nagib Hakim, Subhasish Mitra:
Overcoming post-silicon validation challenges through quick error detection (QED). DATE 2013: 320-325 - [c7]Yanjing Li, Eric Cheng, Samy Makar, Subhasish Mitra:
Self-repair of uncore components in robust system-on-chips: An OpenSPARC T2 case study. ITC 2013: 1-10 - 2011
- [j3]Subhasish Mitra, Kevin Brelsford, Young Moon Kim, Hsiao-Heng Lee, Yanjing Li:
Robust System Design to Overcome CMOS Reliability Challenges. IEEE J. Emerg. Sel. Topics Circuits Syst. 1(1): 30-41 (2011) - [j2]Subhasish Mitra, Hyungmin Cho, Ted Hong, Young Moon Kim, Hsiao-Heng Lee, Larkhoon Leem, Yanjing Li, David Lin, Evelyn Mintarno, Diana Mui, Sung-Boem Park, Nishant Patil, Hai Wei, Jie Zhang:
Robust System Design. IPSJ Trans. Syst. LSI Des. Methodol. 4: 2-30 (2011) - 2010
- [c6]Larkhoon Leem, Hyungmin Cho, Hsiao-Heng Lee, Young Moon Kim, Yanjing Li, Subhasish Mitra:
Cross-layer error resilience for robust systems. ICCAD 2010: 177-180 - [c5]Ted Hong, Yanjing Li, Sung-Boem Park, Diana Mui, David Lin, Ziyad Abdel Kaleq, Nagib Hakim, Helia Naeimi, Donald S. Gardner, Subhasish Mitra:
QED: Quick Error Detection tests for effective post-silicon validation. ITC 2010: 154-163 - [c4]Yanjing Li, Onur Mutlu, Donald S. Gardner, Subhasish Mitra:
Concurrent autonomous self-test for uncore components in system-on-chips. VTS 2010: 232-237
2000 – 2009
- 2009
- [j1]Yanjing Li, Young Moon Kim, Evelyn Mintarno, Donald S. Gardner, Subhasish Mitra:
Overcoming Early-Life Failure and Aging for Robust Systems. IEEE Des. Test Comput. 26(6): 28-39 (2009) - [c3]Yanjing Li, Onur Mutlu, Subhasish Mitra:
Operating system scheduling for efficient online self-test in robust systems. ICCAD 2009: 201-208 - 2008
- [c2]Yanjing Li, Samy Makar, Subhasish Mitra:
CASP: Concurrent Autonomous Chip Self-Test Using Stored Test Patterns. DATE 2008: 885-890 - [c1]Hiroaki Inoue, Yanjing Li, Subhasish Mitra:
VAST: Virtualization-Assisted Concurrent Autonomous Self-Test. ITC 2008: 1-10
Coauthor Index
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