Wang, Ding

11 publications

TMLR 2026 Decoding Safety Feedback from Diverse Raters: A Data-Driven Lens on Responsiveness to Severity Pushkar Mishra, Charvi Rastogi, Stephen R Pfohl, Alicia Parrish, Tian Huey Teh, Roma Patel, Mark Diaz, Ding Wang, Michela Paganini, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser

ICLR 2026 Investigating Redundancy in Multimodal Large Language Models with Multiple Vision Encoders Yizhou Wang, Song Mao, Yang Chen, Yufan Shen, Pinlong Cai, Ding Wang, Guohang Yan, Zhi Yu, Yinqiao Yan, Xuming Hu, Botian Shi

ICCV 2025 Aligning Vision to Language: Annotation-Free Multimodal Knowledge Graph Construction for Enhanced LLMs Reasoning Junming Liu, Siyuan Meng, Yanting Gao, Song Mao, Pinlong Cai, Guohang Yan, Yirong Chen, Zilin Bian, Ding Wang, Botian Shi

AAAI 2025 Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis Weikai Li, Ding Wang, Zijian Ding, Atefeh Sohrabizadeh, Zongyue Qin, Jason Cong, Yizhou Sun

NeurIPS 2025 Whose View of Safety? a Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Ding Wang, Mark Diaz, Alicia Parrish, Aida Mostafazadeh Davani, Zoe Ashwood, Michela Paganini, Vinodkumar Prabhakaran, Verena Rieser, Lora Aroyo

NeurIPS 2024 Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Xu Yu, Liang Wang

NeurIPSW 2024 Insights on Disagreement Patterns in Multimodal Safety Perception Across Diverse Rater Groups Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Zoe Ashwood, Aida Mostafazadeh Davani, Mark Diaz, Michela Paganini, Alicia Parrish, Ding Wang, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser

NeurIPS 2023 DICES Dataset: Diversity in Conversational AI Evaluation for Safety Lora Aroyo, Alex Taylor, Mark Díaz, Christopher Homan, Alicia Parrish, Gregory Serapio-García, Vinodkumar Prabhakaran, Ding Wang

ICML 2021 Learning Deep Neural Networks Under Agnostic Corrupted Supervision Boyang Liu, Mengying Sun, Ding Wang, Pang-Ning Tan, Jiayu Zhou

IJCAI 2021 RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou

AAAI 2020 OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting Ding Wang, Boyang Liu, Pang-Ning Tan, Lifeng Luo