Zijian Ding

According to our database, Zijian Ding authored at least 42 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

UniSparse: An Intermediate Language for General Sparse Format Customization.

Jie Liu, Zhongyuan Zhao, Zijian Ding, Benjamin Brock, Hongbo Rong, Zhiru Zhang

Proc. ACM Program. Lang., 2024

Can AI Prompt Humans? Multimodal Agents Prompt Players' Game Actions and Show Consequences to Raise Sustainability Awareness.

Qinshi Zhang, Ruoyu Wen, Zijian Ding, Latisha Besariani Hendra, Ray LC

CoRR, 2024

Efficient Task Transfer for HLS DSE.

Zijian Ding, Atefeh Sohrabizadeh, Weikai Li, Zongyue Qin, Yizhou Sun, Jason Cong

CoRR, 2024

Frontend Diffusion: Exploring Intent-Based User Interfaces through Abstract-to-Detailed Task Transitions.

Qinshi Zhang, Latisha Besariani Hendra, Mohan Chi, Zijian Ding

CoRR, 2024

Towards Intent-based User Interfaces: Charting the Design Space of Intent-AI Interactions Across Task Types.

Zijian Ding

CoRR, 2024

Intelligent Canvas: Enabling Design-Like Exploratory Visual Data Analysis with Generative AI through Rapid Prototyping, Iteration and Curation.

Zijian Ding, Joel Chan

CoRR, 2024

Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis.

Zongyue Qin, Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Ziniu Hu, Yizhou Sun, Jason Cong

Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

Learning to Compare Hardware Designs for High-Level Synthesis.

Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong

Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

Advancing GUI for Generative AI: Charting the Design Space of Human-AI Interactions through Task Creativity and Complexity.

Zijian Ding

Proceedings of the Companion Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

MoteNN: Memory Optimization via Fine-grained Scheduling for Deep Neural Networks on Tiny Devices.

Renze Chen, Zijian Ding, Size Zheng, Meng Li, Yun Liang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Formulating or Fixating: Effects of Examples on Problem Solving Vary as a Function of Example Presentation Interface Design.

Joel Chan, Zijian Ding, Eesh Kamrah, Mark D. Fuge

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN.

Renze Chen, Zijian Ding, Size Zheng, Chengrui Zhang, Jingwen Leng, Xuanzhe Liu, Yun Liang

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Elucidating STEM Concepts through Generative AI: A Multi-modal Exploration of Analogical Reasoning.

Cassie Chen Cao, Zijian Ding, Gyeong-Geon Lee, Jiajun Jiao, Jionghao Lin, Xiaoming Zhai

CoRR, 2023

AI Chatbots as Multi-Role Pedagogical Agents: Transforming Engagement in CS Education.

Cassie Chen Cao, Zijian Ding, Jionghao Lin, Frank Hopfgartner

CoRR, 2023

Mapping the Design Space of Interactions in Human-AI Text Co-creation Tasks.

Zijian Ding, Joel Chan

CoRR, 2023

ALEGO: Towards Cost-Aware Architecture and Integration Co-Design for Chiplet-based Spatial Accelerators.

Xiaochen Hao, Zijian Ding, Jieming Yin, Yuan Wang, Yun Liang

CoRR, 2023

Monad: Towards Cost-Effective Specialization for Chiplet-Based Spatial Accelerators.

Xiaochen Hao, Zijian Ding, Jieming Yin, Yuan Wang, Yun Liang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Harnessing the power of LLMs: Evaluating human-AI text co-creation through the lens of news headline generation.

Zijian Ding, Alison Smith-Renner, Wenjuan Zhang, Joel R. Tetreault, Alejandro Jaimes

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Freeform Templates: Combining Freeform Curation with Structured Templates.

Stephen MacNeil, Ziheng Huang, Kenneth Chen, Zijian Ding, Alexander Yu, Kendall Nakai, Steven P. Dow

Proceedings of the Creativity and Cognition, 2023

Fluid Transformers and Creative Analogies: Exploring Large Language Models' Capacity for Augmenting Cross-Domain Analogical Creativity.

Zijian Ding, Arvind Srinivasan, Stephen MacNeil, Joel Chan

Proceedings of the Creativity and Cognition, 2023

2022

A community effort to assess and improve computerized interpretation of 12-lead resting electrocardiogram.

Zijian Ding, Guijin Wang, Huazhong Yang, Ping Zhang, Dapeng Fu, Zhen Yang, Xinkang Wang, Xia Wang, Zhourui Xia, Chiming Zhang, Wenjie Cai, Binhang Yuan, Dongya Jia, Bo Chen, Chengbin Huang, Jing Zhang, Yi Li, Shan Yang, Runnan He

Medical Biol. Eng. Comput., 2022

Empirical Study on the Acceleration/Deceleration Constraints Under Commercial Adaptive Cruise Control.

Hao Zhou, Anye Zhou, Zijian Ding, Jorge A. Laval, Srinivas Peeta

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Strategy of Frequency Control Based on Variable Universe Fuzzy Logic in Interconnected Power System with Wind Power and Energy Storage.

Yibin Tao, Bingyu Sang, Zijian Ding, Shibai Wang, Cun Dong, Zhijun Li, Jiaan Zhang

Proceedings of the 2nd International Conference on Control and Intelligent Robotics, 2022

TalkTive: A Conversational Agent Using Backchannels to Engage Older Adults in Neurocognitive Disorders Screening.

Zijian Ding, Jiawen Kang, Tinky Oi Ting Ho, Ka Ho Wong, Helene H. Fung, Helen Meng, Xiaojuan Ma

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Mixup Asymmetric Tri-Training for Heartbeat Classification Under Domain Shift.

Jiawei Li, Guijin Wang, Ming Chen, Zijian Ding, Huazhong Yang

IEEE Signal Process. Lett., 2021

Finding Place in a Design Space: Challenges for Supporting Community Design Efforts at Scale.

Stephen MacNeil, Zijian Ding, Ashley Boone, Anthony Bryce Grubbs, Steven P. Dow

Proc. ACM Hum. Comput. Interact., 2021

Inter-patient ECG arrhythmia heartbeat classification based on unsupervised domain adaptation.

Guijin Wang, Ming Chen, Zijian Ding, Jiawei Li, Huazhong Yang, Ping Zhang

Neurocomputing, 2021

ProbMap: Automatically constructing design galleries through feature extraction and semantic clustering.

Stephen MacNeil, Zijian Ding, Kexin Quan, Ziheng Huang, Kenneth Chen, Steven P. Dow

Proceedings of the UIST '21: The Adjunct Publication of the 34th Annual ACM Symposium on User Interface Software and Technology, 2021

Enhance Via Decoupling: Improving Multi-Label Classifiers With Variational Feature Augmentation.

Ming Chen, Guijin Wang, Jing-Hao Xue, Zijian Ding, Li Sun

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Improving Automatic Detection of ECG Abnormality with Less Manual Annotations using Siamese Network.

Fan Yang, Guijin Wang, Chuankai Luo, Zijian Ding

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Segment Origin Prediction: A Self-supervised Learning Method for Electrocardiogram Arrhythmia Classification.

Chuankai Luo, Guijin Wang, Zijian Ding, Hui Chen, Fan Yang

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

The "Active Search" Hypothesis: How Search Strategies Relate to Creative Learning.

Srishti Palani, Zijian Ding, Stephen MacNeil, Steven P. Dow

Proceedings of the CHIIR '21: ACM SIGIR Conference on Human Information Interaction and Retrieval, 2021

CoNotate: Suggesting Queries Based on Notes Promotes Knowledge Discovery.

Srishti Palani, Zijian Ding, Austin Nguyen, Andrew Chuang, Stephen MacNeil, Steven P. Dow

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Framing Creative Work: Helping Novices Frame Better Problems through Interactive Scaffolding.

Stephen MacNeil, Zijian Ding, Kexin Quan, Thomas J. Parashos, Yajie Sun, Steven P. Dow

Proceedings of the 13th ACM SIGCHI Conference on Creativity and Cognition, 2021

2020

A Multi-dilation Convolution Neural Network for Atrial Fibrillation Detection.

Yongfeng Huang, Jianping Lin, Guijin Wang, Zijian Ding, Li Sun

Proceedings of the ICDSP 2020: 4th International Conference on Digital Signal Processing, 2020

Adaptive Region Aggregation Network: Unsupervised Domain Adaptation with Adversarial Training for ECG Delineation.

Ming Chen, Guijin Wang, Hui Chen, Zijian Ding

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Unsupervised Domain Adaptation for ECG Arrhythmia Classification.

Ming Chen, Guijin Wang, Zijian Ding, Jiawei Li, Huazhong Yang

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

LabelECG: A Web-Based Tool for Distributed Electrocardiogram Annotation.

Zijian Ding, Shan Qiu, Yutong Guo, Jianping Lin, Li Sun, Dapeng Fu, Zhen Yang, Chengquan Li, Yang Yu, Long Meng, Tingting Lv, Dan Li, Ping Zhang

Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019

Muscle Artifacts Cancellation Framework for ECG Signals Combining Convolution Auto-encoder and Average Beat Subtraction.

Yongfeng Huang, Zijian Ding, Guijin Wang, Jianping Lin, Ping Zhang

Proceedings of the 4th International Conference on Biomedical Signal and Image Processing, 2019

2018

Genome-wide DNA methylation analysis identifies candidate epigenetic markers and drivers of hepatocellular carcinoma.

Yongchang Zheng, Qianqian Huang, Zijian Ding, Tingting Liu, Chenghai Xue, Xinting Sang, Jin Gu

Briefings Bioinform., 2018

2016

Evaluating the molecule-based prediction of clinical drug responses in cancer.

Zijian Ding, Songpeng Zu, Jin Gu

Bioinform., 2016

2014

OncomiRDB: a database for the experimentally verified oncogenic and tumor-suppressive microRNAs.

Dongfang Wang, Jin Gu, Ting Wang, Zijian Ding

Bioinform., 2014