CASP: Concurrent Autonomous Chip Self-Test Using Stored Test Patterns. - Yanjing Li; Samy Makar; Subhasish Mitra (DATE, 2008)

VAST: Virtualization-Assisted Concurrent Autonomous Self-Test. - Hiroaki Inoue; Yanjing Li; Subhasish Mitra (ITC, 2008)

Operating system scheduling for efficient online self-test in robust systems. - Yanjing Li; Onur Mutlu; Subhasish Mitra (ICCAD, 2009)

Overcoming Early-Life Failure and Aging for Robust Systems. - Yanjing Li; Young Moon Kim; Evelyn Mintarno; Donald S. Gardner; Subhasish Mitra (IEEE Des. Test Comput., 2009)

Cross-layer error resilience for robust systems. - Larkhoon Leem; Hyungmin Cho; Hsiao-Heng Lee; Young Moon Kim; Yanjing Li; Subhasish Mitra (ICCAD, 2010)

QED: Quick Error Detection tests for effective post-silicon validation. - Ted Hong; Yanjing Li; Sung-Boem Park; Diana Mui; David Lin; Ziyad Abdel Kaleq; Nagib Hakim; Helia Naeimi; Donald S. Gardner; Subhasish Mitra (ITC, 2010)

Concurrent autonomous self-test for uncore components in system-on-chips. - Yanjing Li; Onur Mutlu; Donald S. Gardner; Subhasish Mitra (VTS, 2010)

Robust System Design to Overcome CMOS Reliability Challenges. - Subhasish Mitra; Kevin Brelsford; Young Moon Kim; Hsiao-Heng Lee; Yanjing Li (IEEE J. Emerg. Sel. Topics Circuits Syst., 2011)

Robust System Design. - 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; et al. (IPSJ Trans. Syst. LSI Des. Methodol., 2011)

Overcoming post-silicon validation challenges through quick error detection (QED). - David Lin; Ted Hong; Yanjing Li; Farzan Fallah; Donald S. Gardner; Nagib Hakim; Subhasish Mitra (DATE, 2013)

Self-repair of uncore components in robust system-on-chips: An OpenSPARC T2 case study. - Yanjing Li; Eric Cheng; Samy Makar; Subhasish Mitra (ITC, 2013)

The resilience wall: Cross-layer solution strategies. - 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; et al. (VLSI-DAT, 2014)

Special session 11C: Young professionals in test - Elevator talks. - Alodeep Sanyal; Yanjing Li (VTS, 2014)

Special session 12C: Young professionals in test - Town meeting. - Alodeep Sanyal; Yanjing Li; Yervant Zorian (VTS, 2014)

Effective Post-Silicon Validation of System-on-Chips Using Quick Error Detection. - David Lin; Ted Hong; Yanjing Li; Eswaran S; Sharad Kumar; Farzan Fallah; Nagib Hakim; Donald S. Gardner; Subhasish Mitra (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014)

Cross-layer refresh mitigation for efficient and reliable DRAM systems: A comparative study. - Xiaoan Ding; Xi Liang 002; Yanjing Li (ITC, 2017)

Stowage Plan Based Slot Optimal Allocation in Rail-Water Container Terminal. - Yanjing Li; Xiaoning Zhu; Li Wang 032; Xi Chen (J. Control. Sci. Eng., 2017)

Protecting Page Tables from RowHammer Attacks using Monotonic Pointers in DRAM True-Cells. - Xin-Chuan Wu; Timothy Sherwood; Frederic T. Chong; Yanjing Li (ASPLOS, 2019)

Cross-Layer Resilience: Challenges, Insights, and the Road Ahead. - 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; et al. (DAC, 2019)

Crash Skipping: A Minimal-Cost Framework for Efficient Error Recovery in Approximate Computing Environments. - Yan Verdeja Herms; Yanjing Li (ACM Great Lakes Symposium on VLSI, 2019)

Two-Stream Multi-Task Network for Fashion Recognition. - Peizhao Li; Yanjing Li; Xiaolong Jiang; Xiantong Zhen (ICIP, 2019)

Time-Slicing Soft Error Resilience in Microprocessors for Reliable and Energy-Efficient Execution. - Yi He 010; Yanjing Li (ITC, 2019)

Direct-modulated optical networks for interposer systems. - Mohammad Reza Jokar; Lunkai Zhang; John M. Dallesasse; Frederic T. Chong; Yanjing Li (NOCS, 2019)

A Competitive Swarm Optimizer-Based Technoeconomic Optimization with Appliance Scheduling in Domestic PV-Battery Hybrid Systems. - Bo Wang 032; Yanjing Li; Fei Yang; Xiaohua Xia (Complex., 2019)

Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking. - Xiaolong Jiang; Peizhao Li; Yanjing Li; Xiantong Zhen (CoRR, 2019)

Baldur: A Power-Efficient and Scalable Network Using All-Optical Switches. - Mohammad Reza Jokar; Junyi Qiu; Frederic T. Chong; Lynford L. Goddard; John M. Dallesasse; Milton Feng; Yanjing Li (HPCA, 2020)

FIdelity: Efficient Resilience Analysis Framework for Deep Learning Accelerators. - Yi He 010; Prasanna Balaprakash; Yanjing Li (MICRO, 2020)

POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing. - Sheng Xu 007; Junhe Zhao; Yanjing Li; Baochang Zhang 001; Guodong Guo (BMVC, 2021)

A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals. - 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 (ACM Great Lakes Symposium on VLSI, 2021)

Efficient Functional In-Field Self-Test for Deep Learning Accelerators. - Yi He 010; Takumi Uezono; Yanjing Li (ITC, 2021)

Tfcancer: a manually curated database of transcription factors associated with human cancers. - Qingqing Huang; Zhengtang Tan; Yanjing Li; Wenzhu Wang; Mei Lang; Changying Li; Zhiyun Guo (Bioinform., 2021)

Recurrent Bilinear Optimization for Binary Neural Networks. - Sheng Xu 007; Yanjing Li; Tiancheng Wang; Teli Ma; Baochang Zhang 001; Peng Gao 007; Yu Qiao 001; Jinhu Lü; Guodong Guo (ECCV (24), 2022)

IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors. - Sheng Xu 007; Yanjing Li; Bohan Zeng; Teli Ma; Baochang Zhang 001; Xianbin Cao 001; Peng Gao 007; Jinhu Lü (ECCV (11), 2022)

Achieving Automotive Safety Requirements through Functional In-Field Self-Test for Deep Learning Accelerators. - Takumi Uezono; Yi He 010; Yanjing Li (ITC, 2022)

Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer. - Yanjing Li; Sheng Xu 007; Baochang Zhang 001; Xianbin Cao 001; Peng Gao 007; Guodong Guo (NeurIPS, 2022)

Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise. - Pedro Savarese; Xin Yuan; Yanjing Li; Michael Maire (NeurIPS, 2022)

Special Session: On the Reliability of Conventional and Quantum Neural Network Hardware. - Mehdi Sadi; Yi He 010; Yanjing Li; Mahabubul Alam; Satwik Kundu; Swaroop Ghosh; Javad Bahrami; Naghmeh Karimi (VTS, 2022)

TerViT: An Efficient Ternary Vision Transformer. - Sheng Xu 007; Yanjing Li; Teli Ma; Bohan Zeng; Baochang Zhang 001; Peng Gao 007; Jinhu Lv (CoRR, 2022)

Filter pruning via expectation-maximization. - Sheng Xu 007; Yanjing Li; Linlin Yang; Baochang Zhang 001; Dianmin Sun; Kexin Liu (Neural Comput. Appl., 2022)

Resilient Binary Neural Network. - Sheng Xu 007; Yanjing Li; Teli Ma; Mingbao Lin; Hao Dong 003; Baochang Zhang 001; Peng Gao 007; Jinhu Lu (AAAI, 2023)

Implicit Diffusion Models for Continuous Super-Resolution. - Sicheng Gao; Xuhui Liu; Bohan Zeng; Sheng Xu 007; Yanjing Li; Xiaoyan Luo; Jianzhuang Liu; Xiantong Zhen; Baochang Zhang 001 (CVPR, 2023)

Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. - Sheng Xu 007; Yanjing Li; Mingbao Lin; Peng Gao 007; Guodong Guo; Jinhu Lü; Baochang Zhang 001 (CVPR, 2023)

Memristor-Spikelearn: A Spiking Neural Network Simulator for Studying Synaptic Plasticity under Realistic Device and Circuit Behaviors. - Yuming Liu; Angel Yanguas-Gil; Sandeep Madireddy; Yanjing Li (DATE, 2023)

Understanding Permanent Hardware Failures in Deep Learning Training Accelerator Systems. - Yi He 010; Yanjing Li (ETS, 2023)

Representation Disparity-aware Distillation for 3D Object Detection. - Yanjing Li; Sheng Xu 007; Mingbao Lin; Jihao Yin; Baochang Zhang 001; Xianbin Cao 001 (ICCV, 2023)

Understanding and Mitigating Hardware Failures in Deep Learning Training Systems. - Yi He 010; Mike Hutton; Steven Chan; Robert De Gruijl; Rama Govindaraju; Nishant Patil; Yanjing Li (ISCA, 2023)

Q-DM: An Efficient Low-bit Quantized Diffusion Model. - Yanjing Li; Sheng Xu 007; Xianbin Cao 001; Xiao Sun; Baochang Zhang 001 (NeurIPS, 2023)

Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. - 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; et al. (NeurIPS, 2023)

Confidence-driven Bounding Box Localization for Small Object Detection. - Huixin Sun; Baochang Zhang 001; Yanjing Li; Xianbin Cao 001 (CoRR, 2023)

SIMD Dataflow Co-optimization for Efficient Neural Networks Inferences on CPUs. - Cyrus Zhou; Zack Hassman; Ruize Xu; Dhirpal Shah; Vaughn Richard; Yanjing Li (CoRR, 2023)

SySMOL: A Hardware-software Co-design Framework for Ultra-Low and Fine-Grained Mixed-Precision Neural Networks. - Cyrus Zhou; Vaughn Richard; Pedro Savarese; Zachary Hassman; Michael Maire; Michael DiBrino; Yanjing Li (CoRR, 2023)

A reinforcement learning-based multimodal scenario hazardous behaviour recognition method. - Di Sun; Yanjing Li; Yuexia Han (Int. J. Comput. Intell. Stud., 2023)

A Reinforcement Learning-Based Multimodal Scenario Hazardous Behavior Recognition Method. - Di Sun; Yanjing Li; Yuexia Han (Int. J. Comput. Intell. Stud., 2023)

DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs. - Yanjing Li; Sheng Xu 007; Xianbin Cao 001; Li'an Zhuo; Baochang Zhang 001; Tian Wang 002; Guodong Guo (Int. J. Comput. Vis., 2023)

A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals. - 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; et al. (ACM J. Emerg. Technol. Comput. Syst., 2023)

Bi-ViT: Pushing the Limit of Vision Transformer Quantization. - Yanjing Li; Sheng Xu 007; Mingbao Lin; Xianbin Cao 001; Chuanjian Liu; Xiao Sun; Baochang Zhang 001 (AAAI, 2024)

YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs. - Cyrus Zhou; Zack Hassman; Dhirpal Shah; Vaughn Richard; Yanjing Li (CC, 2024)

Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement. - Sheng Xu 007; Mingze Wang; Yanjing Li; Mingbao Lin; Baochang Zhang 001; David S. Doermann; Xiao Sun (ICML, 2024)

Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators. - Mingyuan Xiang; Xuhan Xie; Pedro Savarese; Xin Yuan; Michael Maire; Yanjing Li (VTS, 2024)

A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics. - Shengchao Liu; Weitao Du; Yanjing Li; Zhuoxinran Li; Vignesh C. Bhethanabotla; Nakul Rampal; Omar Yaghi; Christian Borgs; Anima Anandkumar; Hongyu Guo; Jennifer T. Chayes (CoRR, 2024)

UpDown: Programmable fine-grained Events for Scalable Performance on Irregular Applications. - Andronicus Rajasukumar; Jiya Su; Yuqing Wang; Tianshuo Su; Marziyeh Nourian; Jose M. Monsalve Diaz; Tianchi Zhang 005; Jianru Ding; Wenyi Wang; Ziyi Zhang; Moubarak Jeje; Henry Hoffmann; et al. (CoRR, 2024)

P4Q: Learning to Prompt for Quantization in Visual-language Models. - Huixin Sun; Runqi Wang; Yanjing Li; Xianbin Cao 001; Xiaolong Jiang; Yao Hu 002; Baochang Zhang 001 (CoRR, 2024)

CCExpert: Advancing MLLM Capability in Remote Sensing Change Captioning with Difference-Aware Integration and a Foundational Dataset. - Zhiming Wang; Mingze Wang; Sheng Xu 007; Yanjing Li; Baochang Zhang 001 (CoRR, 2024)

A privacy protection method for IoT nodes based on convolutional neural network. - Yuexia Han; Di Sun; Yanjing Li (Int. J. Reason. based Intell. Syst., 2024)

Online Learning Behavior Analysis and Prediction Based on Spiking Neural Networks. - Yanjing Li; Xiaowei Wang; Fukun Chen; Bingxu Zhao; Qiang Fu (J. Soc. Comput., 2024)

Target-Driven Visual Navigation by Using Causal Intervention. - Xinzhou Zhao; Tian Wang 002; Yanjing Li; Baochang Zhang 001; Kexin Liu; Deyuan Liu; Chuanyun Wang; Hichem Snoussi (IEEE Trans. Intell. Veh., 2024)

SET: Spectral Enhancement for Tiny Object Detection. - Huixin Sun; Runqi Wang; Yanjing Li; Linlin Yang; Shaohui Lin; Xianbin Cao 001; Baochang Zhang 001 (CVPR, 2025)

Predicting Online Learning Performance and Designing Interventions Using Learning Analytics. - Yanjing Li; Xiaowei Wang; Qiang Fu (ICEIT, 2025)

Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training. - Boyu Liu; Haoyu Huang; Linlin Yang; Yanjing Li; Guodong Guo; Xianbin Cao 001; Baochang Zhang 001 (ICLR, 2025)

SWIPER: Minimizing Fault-Tolerant Quantum Program Latency via Speculative Window Decoding. - Joshua Viszlai; Jason D. Chadwick; Sarang Joshi; Gokul Subramanian Ravi; Yanjing Li; Frederic T. Chong (ISCA, 2025)

Silent Data Corruption: Advancing Detection, Diagnosis, and Mitigation Strategies. - Peter Domanski; Mukarram Ali Faridi; Gabriel Kaunang; Wilson Pradeep; Adit D. Singh; Muhammad Alfian Amrizal; Yanjing Li; Farshad Firouzi; Krishnendu Chakrabarty (VTS, 2025)

M3DP: Optimizing 2D vision tasks with minimal 3D object information. - Ziming Wang; Yanjing Li; Linlin Yang; Xinkai Liang; Xianbin Cao 001; Qi Wang 009; Baochang Zhang 001 (Neurocomputing, 2025)

Calibrated gradient descent of convolutional neural networks for embodied visual recognition. - Zhiming Wang; Sheng Xu 007; Li'an Zhuo; Baochang Zhang 001; Yanjing Li; Zhenqian Wang; Guodong Guo (Image Vis. Comput., 2025)

A text-guided protein design framework. - Shengchao Liu; Yanjing Li; Zhuoxinran Li; Anthony Gitter; Yutao Zhu 001; Jiarui Lu; Zhao Xu 005; Weili Nie; Arvind Ramanathan; Chaowei Xiao; Jian Tang 005; Hongyu Guo; et al. (Nat. Mac. Intell., 2025)

Learning Accurate Low-bit Quantization towards Efficient Computational Imaging. - Sheng Xu 007; Yanjing Li; Chuanjian Liu; Baochang Zhang 001 (Int. J. Comput. Vis., 2025)

Robust Methods for Deep-Learning Training. - Yanjing Li; Vijay Janapa Reddi (IEEE Des. Test, 2025)

Squeeze10-LLM: Squeezing LLMs' Weights by 10 Times via a Staged Mixed-Precision Quantization Method. - Qingcheng Zhu; Yangyang Ren; Linlin Yang; Mingbao Lin; Yanjing Li; Sheng Xu 007; Zichao Feng; Haodong Zhu; Yuguang Yang 007; Juan Zhang; Runqi Wang; Baochang Zhang 001 (CoRR, 2025)

GNINA 1.3: the next increment in molecular docking with deep learning. - Andrew T. McNutt; Yanjing Li; Rocco Meli; Rishal Aggarwal; David Ryan Koes (J. Cheminformatics, 2025)