Ding, Ying

15 publications

AAAI 2025 Know2Vec: A Black-Box Proxy for Neural Network Retrieval Zhuoyi Shang, Yanwei Liu, Jinxia Liu, Xiaoyan Gu, Ying Ding, Xiangyang Ji
AAAI 2025 Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding
NeurIPSW 2024 Demo: An Exploration of LLM-Guided Conversation in Reminiscence Therapy Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang, Eunhye Grace Ko, Lily Boddy, Chenan Wang, Tianhao Li, Alexander Rasgon, Junyuan Hong, Min Kyung Lee, Chenxi Yuan, Qi Long, Ying Ding, Tianlong Chen, Kaidi Xu
NeurIPSW 2024 Demo: Interactive Visualization of Semantic Relationships in a Biomedical Project's Talent Knowledge Graph Jiawei Xu, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Yue Chen, Ying Ding
NeurIPSW 2024 Position: Open and Closed Large Language Models in Healthcare Jiawei Xu, Ying Ding, Yi Bu
WACV 2023 Attend Who Is Weak: Pruning-Assisted Medical Image Localization Under Sophisticated and Implicit Imbalances Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang
ICML 2023 Graph Ladling: Shockingly Simple Parallel GNN Training Without Intermediate Communication Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
ICML 2023 Instant Soup: Cheap Pruning Ensembles in a Single Pass Can Draw Lottery Tickets from Large Models Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
ICCV 2023 Vision HGNN: An Image Is More than a Graph of Nodes Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, Zhangyang Wang
WACV 2022 Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-Rays with Radiomics Using a Feedback Loop Yan Han, Chongyan Chen, Ahmed Tewfik, Benjamin Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang
NeurIPS 2022 Old Can Be Gold: Better Gradient Flow Can Make Vanilla-GCNs Great Again Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin Rousseau, Ying Ding, Zhangyang Wang
ICML 2022 Training Your Sparse Neural Network Better with Any Mask Ajay Kumar Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang
IJCAI 2018 A3NCF: An Adaptive Aspect Attention Model for Rating Prediction Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song, Mohan S. Kankanhalli
AAAI 2017 Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target Extraction Ying Ding, Jianfei Yu, Jing Jiang
AAAI 2014 Lifetime Lexical Variation in Social Media Lizi Liao, Jing Jiang, Ying Ding, Heyan Huang, Ee-Peng Lim