| 2025 | DAC | GEM: GPU-Accelerated Emulator-Inspired RTL Simulation. | Zizheng Guo, Yanqing Zhang, Runsheng Wang, Yibo Lin, Haoxing Ren |
| 2025 | DATE | ChipVQA: Benchmarking Visual Language Models for Chip Design. | Haoyu Yang, Qijing Huang, Nathaniel Ross Pinckney, Walker J. Turner, Wenfei Zhou, Yanqing Zhang, Chia-Tung Ho, Chen-Chia Chang, Haoxing Ren |
| 2025 | EuroPar | SimPart: A Simple Yet Effective Replication-Aided Partitioning Algorithm for Logic Simulation on GPU. | Yi-Hua Chung, Shui Jiang, Wan-Luan Lee, Yanqing Zhang, Haoxing Ren, Tsung-Yi Ho, Tsung-Wei Huang |
| 2025 | IJCNN | The Energy-Efficient Hierarchical Neural Network with Fast FPGA-Based Incremental Learning. | Mohammad Saleh Vahdatpour, Huaiyuan Chu, Yanqing Zhang |
| 2025 | VISIGRAPP | Designing Explainable and Counterfactual-Based AI Interfaces for Operators in Process Industries. | Yanqing Zhang, Leila Methnani, Emmanuel Brorsson, Elmira Zohrevandi, Andreas Darnell, Kostiantyn Kucher |
| 2024 | DATE | BoolGebra: Attributed Graph-Learning for Boolean Algebraic Manipulation. | Yingjie Li, Anthony Agnesina, Yanqing Zhang, Haoxing Ren, Cunxi Yu |
| 2024 | ICCAD | GL0AM: GPU Logic Simulation Using 0-Delay and Re-simulation Acceleration Method. | Yanqing Zhang, Haoxing Ren, Brucek Khailany |
| 2023 | DAC | GenFuzz: GPU-accelerated Hardware Fuzzing using Genetic Algorithm with Multiple Inputs. | Dian-Lun Lin, Yanqing Zhang, Haoxing Ren, Brucek Khailany, Shih-Hsin Wang, Tsung-Wei Huang |
| 2023 | HCI | Interaction with Automated Heavy Vehicles Using Gestures and External Interfaces in Underground Mines. | Johan Fagerlnn, Yanqing Zhang, Lina Orrell, Hanna Rnntoft |
| 2023 | HRI | Collaboration with Highly Automated Vehicles via Voice Interaction and Augmented Reality: A VR-Based Study. | Johan Fagerlnn, Yanqing Zhang, Lina Orrell, Hanna Rnntoft |
| 2022 | ACCV | Three-Stage Bidirectional Interaction Network for Efficient RGB-D Salient Object Detection. | Yang Wang, Yanqing Zhang |
| 2022 | DAC | GATSPI: GPU accelerated gate-level simulation for power improvement. | Yanqing Zhang, Haoxing Ren, Akshay Sridharan, Brucek Khailany |
| 2022 | ICCAD | Why are Graph Neural Networks Effective for EDA Problems?: (Invited Paper). | Haoxing Ren, Siddhartha Nath, Yanqing Zhang, Hao Chen, Mingjie Liu |
| 2022 | ICPP | From RTL to CUDA: A GPU Acceleration Flow for RTL Simulation with Batch Stimulus. | Dian-Lun Lin, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Tsung-Wei Huang |
| 2021 | DATE | MAVIREC: ML-Aided Vectored IR-Drop Estimation and Classification. | Vidya A. Chhabria, Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany, Sachin S. Sapatnekar |
| 2021 | ICCAD | 2021 ICCAD CAD Contest Problem C: GPU Accelerated Logic Rewriting. | Ghasem Pasandi, Sreedhar Pratty, David Brown, Yanqing Zhang, Haoxing Ren, Brucek Khailany |
| 2020 | ASPDAC | FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning. | Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza |
| 2020 | DAC | GRANNITE: Graph Neural Network Inference for Transferable Power Estimation. | Yanqing Zhang, Haoxing Ren, Brucek Khailany |
| 2020 | ICCAD | Opportunities for RTL and Gate Level Simulation using GPUs (Invited Talk). | Yanqing Zhang, Haoxing Ren, Brucek Khailany |
| 2020 | ICCAD | Problem C: GPU Accelerated Logic Re-simulation : (Invited Talk). | Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany |
| 2019 | DAC | PRIMAL: Power Inference using Machine Learning. | Yuan Zhou, Haoxing Ren, Yanqing Zhang, Ben Keller, Brucek Khailany, Zhiru Zhang |
| 2019 | ICCAD | MAGNet: A Modular Accelerator Generator for Neural Networks. | Rangharajan Venkatesan, Yakun Sophia Shao, Miaorong Wang, Jason Clemons, Steve Dai, Matthew Fojtik, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Yanqing Zhang, Brian Zimmer, William J. Dally, Joel S. Emer, Stephen W. Keckler, Brucek Khailany |
| 2019 | MICRO | Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture. | Yakun Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel S. Emer, C. Thomas Gray, Brucek Khailany, Stephen W. Keckler |
| 2018 | CVPR | Early Diagnosis of Alzheimer's Disease: A Neuroimaging Study With Deep Learning Architectures. | Jyoti Islam, Yanqing Zhang |
| 2018 | DAC | A modular digital VLSI flow for high-productivity SoC design. | Brucek Khailany, Evgeni Khmer, Rangharajan Venkatesan, Jason Clemons, Joel S. Emer, Matthew Fojtik, Alicia Klinefelter, Michael Pellauer, Nathaniel Ross Pinckney, Yakun Sophia Shao, Shreesha Srinath, Christopher Torng, Sam Likun Xi, Yanqing Zhang, Brian Zimmer |
| 2018 | SIGITE | Privacy Preserving Multiclass Classification for Horizontally Distributed Data. | Yunmei Lu, Mingyuan Yan, Meng Han, Qingliang Zhang, Yanqing Zhang |
| 2017 | IRI | A Hybrid Machine Learning Method for Finding Depression Related Publications by Eliminating Outlier Publications. | Zhibo Wang, Long Ma, Yanqing Zhang |
| 2017 | RECOMB | A Network Integration Approach for Drug-Target Interaction Prediction and Computational Drug Repositioning from Heterogeneous Information. | Yunan Luo, Xinbin Zhao, Jingtian Zhou, Jinling Yang, Yanqing Zhang, Wenhua Kuang, Jian Peng, Ligong Chen, Jianyang Zeng |
| 2016 | COMPSAC | A Text Information Retrieval Method by Integrating Global and Local Textual Information. | Zhibo Wang, Yanqing Zhang |
| 2016 | NordiCHI | Fashionable Services for Wearables: Inventing and Investigating a New Design Path for Smart Watches. | Oskar Juhlin, Yanqing Zhang, Jinyi Wang, Anders Andersson |
| 2016 | SIGCSE | Increasing Security Awareness in Undergraduate Courses with Labware (Abstract Only). | Michael Weeks, Yi Pan, Yanqing Zhang |
| 2015 | CIBCB | A biomarker ensemble ranking framework for prioritizing depression candidate genes. | Abu Sayed Chowdhury, Md Monjur Alam, Yanqing Zhang |
| 2015 | CIBCB | Hybrid feature selection methods for online biomedical publication classification. | Long Ma, Yanqing Zhang, Raj Sunderraman, Peter T. Fox, Angela R. Laird, Jessica A. Turner, Matthew D. Turner |
| 2015 | CIBCB | Dynamic ensemble selection with local expertise consistency. | Yun Zhu, Yanqing Zhang, Yi Pan |
| 2014 | TrustCom | Privacy Aware Non-linear Support Vector Machine for Multi-source Big Data. | Yunmei Lu, Piyaphol Phoungphol, Yanqing Zhang |
| 2013 | CHI | Fashionable shape switching: explorations in outfit-centric design. | Oskar Juhlin, Yanqing Zhang, Cristine Sundbom, Ylva Fernaeus |
| 2012 | GRC | Multiclass SVM with ramp loss for imbalanced data classification. | Piyaphol Phoungphol, Yanqing Zhang, Yichuan Zhao, Bismita Srichandan |
| 2012 | GRC | Mis-classified instance learning and recovery in classification. | Yun Zhu, Yanqing Zhang, Yi Pan |
| 2012 | ICALT | Real-World Relevant Learning with Android Smartphones. | Kai Qian, Chia-Tien Dan Lo, Yi Pan, Yanqing Zhang, Xiaolin Hu, Liang Hong |
| 2012 | SIGCSE | The cross-curriculum mobile computing labware for CS (abstract only). | Kai Qian, Chia-Tien Dan Lo, Yi Pan, Yanqing Zhang, Xiaolin Hu, Liang Hong |
| 2011 | ICALT | A Simple Low-Cost Portable Energy Efficient Device to Supplement Operating System Curriculum. | Chia-Tien Dan Lo, Kai Qian, Yanqing Zhang |
| 2010 | ISCAS | System design principles combining sub-threshold circuit and architectures with energy scavenging mechanisms. | Benton H. Calhoun, Sudhanshu Khanna, Yanqing Zhang, Joseph F. Ryan, Brian P. Otis |
| 2009 | SMC | Feature Selection and Granular SVM Classification for Protein Arginine Methylation Identification. | Zejin Jason Ding, Yanqing Zhang, Yujun George Zheng |
| 2007 | GRC | A New Improved K-Means Algorithm with Penalized Term. | Zejin Jason Ding, Jian Yu, Yanqing Zhang |
| 2007 | GRC | Statistical Genetic Interval-Valued Fuzzy Systems with Prediction in Clinical Trials. | Yu Qiu, Yanqing Zhang, Yichuan Zhao |
| 2006 | CEC | Improving Feature Subset Selection Using a Genetic Algorithm for Microarray Gene Expression Data. | Feng Tan, Xuezheng Fu, Yanqing Zhang, Anu G. Bourgeois |
| 2006 | GRC | Neural networks with resilient propagation for protein secondary structure prediction. | Arnshea Clayton, Yanqing Zhang |
| 2006 | GRC | Haplotype tagging using support vector machines. | Jingwu He, Jun Zhang, Gulsah Altun, Alexander Zelikovsky, Yanqing Zhang |
| 2006 | ICCS | A Hybrid Feature Selection Approach for Microarray Gene Expression Data. | Feng Tan, Xuezheng Fu, Hao Wang, Yanqing Zhang, Anu G. Bourgeois |
| 2006 | SDM | A Semantic Approach for Mining Hidden Links from Complementary and Non-interactive Biomedical Literature. | Xiaohua Hu, Xiaodan Zhang, Illhoi Yoo, Yanqing Zhang |
| 2005 | CIKM | Mining undiscovered public knowledge from complementary and non-interactive biomedical literature through semantic pruning. | Xiaohua Hu, Illhoi Yoo, Min Song, Yanqing Zhang, Il-Yeol Song |
| 2005 | GRC | Fuzzy support vector machines for biomedical data analysis. | Xiujuan Chen, Robert W. Harrison, Yanqing Zhang |
| 2004 | Middleware | SyD: A Middleware Testbed for Collaborative Applications over Small Heterogeneous Devices and Data Stores. | Sushil K. Prasad, Vijay K. Madisetti, Shamkant B. Navathe, Raj Sunderraman, Erdogan Dogdu, Anu G. Bourgeois, Michael Weeks, Bing Liu, Janaka Balasooriya, Arthi Hariharan, Wanxia Xie, Praveen Madiraju, Srilaxmi Malladi, Raghupathy Sivakumar, Alexander Zelikovsky, Yanqing Zhang, Yi Pan, Saeid Belkasim |
| 2003 | COMPSAC | Toward an Easy Programming Environment for Implementing Mobile Applications: A Fleet Application Case Study using SyD Middleware. | Sushil K. Prasad, Michael Weeks, Yanqing Zhang, Alexander Zelikovsky, Saeid Belkasim, Raj Sunderraman, Vijay K. Madisetti |