Yanjing Li - RankMe

98 papers A* 18A 13B 3Misc 6Journal 49Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Associative Recurrent Bilinear Optimization for Domain-Generalized Binary Neural Networks. Int. J. Comput. Vis. Sheng Xu, Yanjing Li, Mingze Wang, Chuanjian Liu, Baochang Zhang
2026	J	`jnl`	Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting in Interview Answer Quality. CoRR Kewen Zhu, Zixi Liu, Yanjing Li
2026	J	`jnl`	GenOpticalFlow: A Generative Approach to Unsupervised Optical Flow Learning. CoRR YiXuan Luo, Feng Qiao, Zhexiao Xiong, Yanjing Li, Nathan Jacobs
2026	J	`jnl`	Rigidity-Aware Geometric Pretraining for Protein Design and Conformational Ensembles. CoRR Zhanghan Ni, Yanjing Li, Zeju Qiu, Bernhard Schölkopf, Hongyu Guo, Weiyang Liu, Shengchao Liu
2026	J	`jnl`	Unbiased Dynamic Pruning for Efficient Group-Based Policy Optimization. CoRR Haodong Zhu, Yangyang Ren, Yanjing Li, Mingbao Lin, Linlin Yang, Xuhui Liu, Xiantong Zhen, Haiguang Liu, Baochang Zhang
2025	J	`jnl`	A text-guided protein design framework. Nat. Mac. Intell. Shengchao Liu, Yanjing Li, Zhuoxinran Li, Anthony Gitter, Yutao Zhu, Jiarui Lu, Zhao Xu, Weili Nie, Arvind Ramanathan, Chaowei Xiao, Jian Tang, Hongyu Guo, Anima Anandkumar
2025	J	`jnl`	Calibrated gradient descent of convolutional neural networks for embodied visual recognition. Image Vis. Comput. Zhiming Wang, Sheng Xu, Li'an Zhuo, Baochang Zhang, Yanjing Li, Zhenqian Wang, Guodong Guo
2025	A*	`conf`	Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training. ICLR Boyu Liu, Haoyu Huang, Linlin Yang, Yanjing Li, Guodong Guo, Xianbin Cao, Baochang Zhang
2025	J	`jnl`	GNINA 1.3: the next increment in molecular docking with deep learning. J. Cheminformatics Andrew T. McNutt, Yanjing Li, Rocco Meli, Rishal Aggarwal, David Ryan Koes
2025	—	`conf`	KVMSR+UDWeave: Extreme-Scaling with Fine-grained Parallelism on the UpDown Graph Supercomputer. SC Workshops Alexander Fell, Yuqing Wang, Tianshuo Su, Marziyeh Nourian, Wenyi Wang, Jose M. Monsalve Diaz, Andronicus Samsundar Rajasukumar, Jiya Su, Ruiqi Xu, Rajat Khandelwal, Tianchi Zhang, David F. Gleich, Yanjing Li, Hank Hoffmann, Andrew A. Chien
2025	J	`jnl`	Learning Accurate Low-bit Quantization towards Efficient Computational Imaging. Int. J. Comput. Vis. Sheng Xu, Yanjing Li, Chuanjian Liu, Baochang Zhang
2025	J	`jnl`	M3DP: Optimizing 2D vision tasks with minimal 3D object information. Neurocomputing Ziming Wang, Yanjing Li, Linlin Yang, Xinkai Liang, Xianbin Cao, Qi Wang, Baochang Zhang
2025	—	`conf`	Predicting Online Learning Performance and Designing Interventions Using Learning Analytics. ICEIT Yanjing Li, Xiaowei Wang, Qiang Fu
2025	J	`jnl`	Robust Methods for Deep-Learning Training. IEEE Des. Test Yanjing Li, Vijay Janapa Reddi
2025	A*	`conf`	SET: Spectral Enhancement for Tiny Object Detection. CVPR Huixin Sun, Runqi Wang, Yanjing Li, Linlin Yang, Shaohui Lin, Xianbin Cao, Baochang Zhang
2025	A*	`conf`	SWIPER: Minimizing Fault-Tolerant Quantum Program Latency via Speculative Window Decoding. ISCA Joshua Viszlai, Jason D. Chadwick, Sarang Joshi, Gokul Subramanian Ravi, Yanjing Li, Frederic T. Chong
2025	Misc	`conf`	Silent Data Corruption: Advancing Detection, Diagnosis, and Mitigation Strategies. VTS Peter Domanski, Mukarram Ali Faridi, Gabriel Kaunang, Wilson Pradeep, Adit D. Singh, Muhammad Alfian Amrizal, Yanjing Li, Farshad Firouzi, Krishnendu Chakrabarty
2025	J	`jnl`	Squeeze10-LLM: Squeezing LLMs' Weights by 10 Times via a Staged Mixed-Precision Quantization Method. CoRR Qingcheng Zhu, Yangyang Ren, Linlin Yang, Mingbao Lin, Yanjing Li, Sheng Xu, Zichao Feng, Haodong Zhu, Yuguang Yang, Juan Zhang, Runqi Wang, Baochang Zhang
2024	J	`jnl`	A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics. CoRR Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Vignesh C. Bhethanabotla, Nakul Rampal, Omar Yaghi, Christian Borgs, Anima Anandkumar, Hongyu Guo, Jennifer T. Chayes
2024	J	`jnl`	A privacy protection method for IoT nodes based on convolutional neural network. Int. J. Reason. based Intell. Syst. Yuexia Han, Di Sun, Yanjing Li
2024	A*	`conf`	Bi-ViT: Pushing the Limit of Vision Transformer Quantization. AAAI Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang
2024	J	`jnl`	CCExpert: Advancing MLLM Capability in Remote Sensing Change Captioning with Difference-Aware Integration and a Foundational Dataset. CoRR Zhiming Wang, Mingze Wang, Sheng Xu, Yanjing Li, Baochang Zhang
2024	Misc	`conf`	Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators. VTS Mingyuan Xiang, Xuhan Xie, Pedro Savarese, Xin Yuan, Michael Maire, Yanjing Li
2024	J	`jnl`	Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators. CoRR Mingyuan Xiang, Xuhan Xie, Pedro Savarese, Xin Yuan, Michael Maire, Yanjing Li
2024	A*	`conf`	Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement. ICML Sheng Xu, Mingze Wang, Yanjing Li, Mingbao Lin, Baochang Zhang, David S. Doermann, Xiao Sun
2024	J	`jnl`	Online Learning Behavior Analysis and Prediction Based on Spiking Neural Networks. J. Soc. Comput. Yanjing Li, Xiaowei Wang, Fukun Chen, Bingxu Zhao, Qiang Fu
2024	J	`jnl`	P4Q: Learning to Prompt for Quantization in Visual-language Models. CoRR Huixin Sun, Runqi Wang, Yanjing Li, Xianbin Cao, Xiaolong Jiang, Yao Hu, Baochang Zhang
2024	J	`jnl`	Target-Driven Visual Navigation by Using Causal Intervention. IEEE Trans. Intell. Veh. Xinzhou Zhao, Tian Wang, Yanjing Li, Baochang Zhang, Kexin Liu, Deyuan Liu, Chuanyun Wang, Hichem Snoussi
2024	J	`jnl`	UpDown: Programmable fine-grained Events for Scalable Performance on Irregular Applications. CoRR 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
2024	B	`conf`	YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs. CC Cyrus Zhou, Zack Hassman, Dhirpal Shah, Vaughn Richard, Yanjing Li
2023	J	`jnl`	A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals. ACM J. Emerg. Technol. Comput. Syst. 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
2023	J	`jnl`	A Reinforcement Learning-Based Multimodal Scenario Hazardous Behavior Recognition Method. Int. J. Comput. Intell. Stud. Di Sun, Yanjing Li, Yuexia Han
2023	J	`jnl`	A reinforcement learning-based multimodal scenario hazardous behaviour recognition method. Int. J. Comput. Intell. Stud. Di Sun, Yanjing Li, Yuexia Han
2023	J	`jnl`	Bi-ViT: Pushing the Limit of Vision Transformer Quantization. CoRR Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang
2023	J	`jnl`	Confidence-driven Bounding Box Localization for Small Object Detection. CoRR Huixin Sun, Baochang Zhang, Yanjing Li, Xianbin Cao
2023	J	`jnl`	DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs. CoRR Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo
2023	J	`jnl`	DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs. Int. J. Comput. Vis. Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo
2023	—	`conf`	Efficiently Exploiting Irregular Parallelism Using Keys at Scale. LCPC Yuqing Wang, Andronicus Rajasukumar, Tianshuo Su, Marziyeh Nourian, Jose M. Monsalve Diaz, Ahsan Pervaiz, Jerry Ding, Charles Colley, Wenyi Wang, Yanjing Li, David F. Gleich, Hank Hoffmann, Andrew A. Chien
2023	A*	`conf`	Implicit Diffusion Models for Continuous Super-Resolution. CVPR Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang
2023	J	`jnl`	Implicit Diffusion Models for Continuous Super-Resolution. CoRR Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang
2023	A	`conf`	Memristor-Spikelearn: A Spiking Neural Network Simulator for Studying Synaptic Plasticity under Realistic Device and Circuit Behaviors. DATE Yuming Liu, Angel Yanguas-Gil, Sandeep Madireddy, Yanjing Li
2023	A*	`conf`	Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. CVPR Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lü, Baochang Zhang
2023	J	`jnl`	Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. CoRR Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lu, Baochang Zhang
2023	A*	`conf`	Q-DM: An Efficient Low-bit Quantized Diffusion Model. NeurIPS Yanjing Li, Sheng Xu, Xianbin Cao, Xiao Sun, Baochang Zhang
2023	A*	`conf`	Representation Disparity-aware Distillation for 3D Object Detection. ICCV Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao
2023	J	`jnl`	Representation Disparity-aware Distillation for 3D Object Detection. CoRR Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao
2023	A*	`conf`	Resilient Binary Neural Network. AAAI Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu
2023	J	`jnl`	Resilient Binary Neural Network. CoRR Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lv
2023	J	`jnl`	SIMD Dataflow Co-optimization for Efficient Neural Networks Inferences on CPUs. CoRR Cyrus Zhou, Zack Hassman, Ruize Xu, Dhirpal Shah, Vaughn Richard, Yanjing Li
2023	J	`jnl`	SySMOL: A Hardware-software Co-design Framework for Ultra-Low and Fine-Grained Mixed-Precision Neural Networks. CoRR Cyrus Zhou, Vaughn Richard, Pedro Savarese, Zachary Hassman, Michael Maire, Michael DiBrino, Yanjing Li
2023	A*	`conf`	Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. NeurIPS 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
2023	J	`jnl`	Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. CoRR 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
2023	B	`conf`	Understanding Permanent Hardware Failures in Deep Learning Training Accelerator Systems. ETS Yi He, Yanjing Li
2023	A*	`conf`	Understanding and Mitigating Hardware Failures in Deep Learning Training Systems. ISCA Yi He, Mike Hutton, Steven Chan, Robert De Gruijl, Rama Govindaraju, Nishant Patil, Yanjing Li
2022	A	`conf`	Achieving Automotive Safety Requirements through Functional In-Field Self-Test for Deep Learning Accelerators. ITC Takumi Uezono, Yi He, Yanjing Li
2022	J	`jnl`	Filter pruning via expectation-maximization. Neural Comput. Appl. Sheng Xu, Yanjing Li, Linlin Yang, Baochang Zhang, Dianmin Sun, Kexin Liu
2022	—	`conf`	IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors. ECCV (11) Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lü
2022	J	`jnl`	IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors. CoRR Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lv
2022	A*	`conf`	Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise. NeurIPS Pedro Savarese, Xin Yuan, Yanjing Li, Michael Maire
2022	A*	`conf`	Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer. NeurIPS Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo
2022	J	`jnl`	Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer. CoRR Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo
2022	—	`conf`	Recurrent Bilinear Optimization for Binary Neural Networks. ECCV (24) Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lü, Guodong Guo
2022	J	`jnl`	Recurrent Bilinear Optimization for Binary Neural Networks. CoRR Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lv, Guodong Guo
2022	Misc	`conf`	Special Session: On the Reliability of Conventional and Quantum Neural Network Hardware. VTS Mehdi Sadi, Yi He, Yanjing Li, Mahabubul Alam, Satwik Kundu, Swaroop Ghosh, Javad Bahrami, Naghmeh Karimi
2022	J	`jnl`	TerViT: An Efficient Ternary Vision Transformer. CoRR Sheng Xu, Yanjing Li, Teli Ma, Bohan Zeng, Baochang Zhang, Peng Gao, Jinhu Lv
2021	—	`conf`	A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals. ACM Great Lakes Symposium on VLSI 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
2021	A	`conf`	Efficient Functional In-Field Self-Test for Deep Learning Accelerators. ITC Yi He, Takumi Uezono, Yanjing Li
2021	A	`conf`	POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing. BMVC Sheng Xu, Junhe Zhao, Yanjing Li, Baochang Zhang, Guodong Guo
2021	J	`jnl`	POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing. CoRR Sheng Xu, Yanjing Li, Junhe Zhao, Baochang Zhang, Guodong Guo
2021	J	`jnl`	Tfcancer: a manually curated database of transcription factors associated with human cancers. Bioinform. Qingqing Huang, Zhengtang Tan, Yanjing Li, Wenzhu Wang, Mei Lang, Changying Li, Zhiyun Guo
2020	A*	`conf`	Baldur: A Power-Efficient and Scalable Network Using All-Optical Switches. HPCA Mohammad Reza Jokar, Junyi Qiu, Frederic T. Chong, Lynford L. Goddard, John M. Dallesasse, Milton Feng, Yanjing Li
2020	A*	`conf`	FIdelity: Efficient Resilience Analysis Framework for Deep Learning Accelerators. MICRO Yi He, Prasanna Balaprakash, Yanjing Li
2019	J	`jnl`	A Competitive Swarm Optimizer-Based Technoeconomic Optimization with Appliance Scheduling in Domestic PV-Battery Hybrid Systems. Complex. Bo Wang, Yanjing Li, Fei Yang, Xiaohua Xia
2019	—	`conf`	Crash Skipping: A Minimal-Cost Framework for Efficient Error Recovery in Approximate Computing Environments. ACM Great Lakes Symposium on VLSI Yan Verdeja Herms, Yanjing Li
2019	A*	`conf`	Cross-Layer Resilience: Challenges, Insights, and the Road Ahead. DAC 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
2019	—	`conf`	Direct-modulated optical networks for interposer systems. NOCS Mohammad Reza Jokar, Lunkai Zhang, John M. Dallesasse, Frederic T. Chong, Yanjing Li
2019	J	`jnl`	Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking. CoRR Xiaolong Jiang, Peizhao Li, Yanjing Li, Xiantong Zhen
2019	A*	`conf`	Protecting Page Tables from RowHammer Attacks using Monotonic Pointers in DRAM True-Cells. ASPLOS Xin-Chuan Wu, Timothy Sherwood, Frederic T. Chong, Yanjing Li
2019	A	`conf`	Time-Slicing Soft Error Resilience in Microprocessors for Reliable and Energy-Efficient Execution. ITC Yi He, Yanjing Li
2019	B	`conf`	Two-Stream Multi-Task Network for Fashion Recognition. ICIP Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen
2019	J	`jnl`	Two-Stream Multi-Task Network for Fashion Recognition. CoRR Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen
2017	A	`conf`	Cross-layer refresh mitigation for efficient and reliable DRAM systems: A comparative study. ITC Xiaoan Ding, Xi Liang, Yanjing Li
2017	J	`jnl`	Stowage Plan Based Slot Optimal Allocation in Rail-Water Container Terminal. J. Control. Sci. Eng. Yanjing Li, Xiaoning Zhu, Li Wang, Xi Chen
2014	J	`jnl`	Effective Post-Silicon Validation of System-on-Chips Using Quick Error Detection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. David Lin, Ted Hong, Yanjing Li, Eswaran S, Sharad Kumar, Farzan Fallah, Nagib Hakim, Donald S. Gardner, Subhasish Mitra
2014	Misc	`conf`	Special session 11C: Young professionals in test - Elevator talks. VTS Alodeep Sanyal, Yanjing Li
2014	Misc	`conf`	Special session 12C: Young professionals in test - Town meeting. VTS Alodeep Sanyal, Yanjing Li, Yervant Zorian
2014	—	`conf`	The resilience wall: Cross-layer solution strategies. VLSI-DAT 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
2013	A	`conf`	Overcoming post-silicon validation challenges through quick error detection (QED). DATE David Lin, Ted Hong, Yanjing Li, Farzan Fallah, Donald S. Gardner, Nagib Hakim, Subhasish Mitra
2013	A	`conf`	Self-repair of uncore components in robust system-on-chips: An OpenSPARC T2 case study. ITC Yanjing Li, Eric Cheng, Samy Makar, Subhasish Mitra
2011	J	`jnl`	Robust System Design to Overcome CMOS Reliability Challenges. IEEE J. Emerg. Sel. Topics Circuits Syst. Subhasish Mitra, Kevin Brelsford, Young Moon Kim, Hsiao-Heng Lee, Yanjing Li
2011	J	`jnl`	Robust System Design. IPSJ Trans. Syst. LSI Des. Methodol. 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
2010	Misc	`conf`	Concurrent autonomous self-test for uncore components in system-on-chips. VTS Yanjing Li, Onur Mutlu, Donald S. Gardner, Subhasish Mitra
2010	A	`conf`	Cross-layer error resilience for robust systems. ICCAD Larkhoon Leem, Hyungmin Cho, Hsiao-Heng Lee, Young Moon Kim, Yanjing Li, Subhasish Mitra
2010	A	`conf`	QED: Quick Error Detection tests for effective post-silicon validation. ITC Ted Hong, Yanjing Li, Sung-Boem Park, Diana Mui, David Lin, Ziyad Abdel Kaleq, Nagib Hakim, Helia Naeimi, Donald S. Gardner, Subhasish Mitra
2009	A	`conf`	Operating system scheduling for efficient online self-test in robust systems. ICCAD Yanjing Li, Onur Mutlu, Subhasish Mitra
2009	J	`jnl`	Overcoming Early-Life Failure and Aging for Robust Systems. IEEE Des. Test Comput. Yanjing Li, Young Moon Kim, Evelyn Mintarno, Donald S. Gardner, Subhasish Mitra
2008	A	`conf`	CASP: Concurrent Autonomous Chip Self-Test Using Stored Test Patterns. DATE Yanjing Li, Samy Makar, Subhasish Mitra
2008	A	`conf`	VAST: Virtualization-Assisted Concurrent Autonomous Self-Test. ITC Hiroaki Inoue, Yanjing Li, Subhasish Mitra