Yu Wang 王禹

About

I am a Ph.D. student in Computer Engineering, within the Department of Intelligent Systems Engineering at Indiana University Bloomington, advised by Prof. David Crandall. I received my M.E. in Computer Engineering from Jilin University in 2022 and began my Ph.D. at IU the same year.

My research focuses on computer vision, with a current emphasis on audio-visual learning and interpretable artificial intelligence for vision applications. I am particularly interested in how multimodal cues can be aligned and reasoned about, and in building models whose decisions can be explained in terms humans understand.

Research Interests

• Computer Vision
• Audio-Visual Learning
• Multimodal Learning
• Active Speaker Detection
• Interpretable AI
• Image Fusion

Education

• 2022 — Present
  Ph.D. in Computer Engineering
  Department of Intelligent Systems Engineering
  Indiana University Bloomington
• 2019 — 2022
  M.E. in Computer Engineering
  Jilin University

Publications

See also my Google Scholar profile.

2026

1. NN-kNN for Regression: Accurate Prediction from Interpretable Retrieval
   Xiaomeng Ye, Yu Wang, David Leake, David Crandall, Great Abhieyighan, Mereck McGowan
   International Joint Conference on Artificial Intelligence (IJCAI), 2026
2. GateFusion: Hierarchical Gated Cross-Modal Fusion for Active Speaker Detection
   Yu Wang, Jung-Woo Ha, Felipe Moreno Ramirez, Yiqing Wang, David J. Crandall
   IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026

2025

1. PAIR-Net: Enhancing Egocentric Speaker Detection via Pretrained Audio-Visual Fusion and Alignment Loss
   Yu Wang, Jung-Woo Ha, David J. Crandall
   Workshop on Egocentric Vision (EgoVis), CVPR 2025
2. Run Like a Neural Network, Explain Like k-Nearest Neighbor
   Xiaomeng Ye, David Leake, Yu Wang, David Crandall
   International Joint Conference on Artificial Intelligence (IJCAI), 2025
3. ADAC: Actor-Double-Attention-Critic for Multi-Agent Cooperation in Mixed Cooperative-Competitive Environments
   He Kong, Qianli Xing, Qi Wang, Runliang Niu, Hechang Chen, Yu Wang, Shiqi Wang, Zhiyi Duan, Yi Chang
   IEEE Transactions on Intelligent Transportation Systems, 2025

2024

1. Towards Network Implementation of CBR: Case Study of a Neural Network k-NN Algorithm
   Xiaomeng Ye, David Leake, Yu Wang, Zonghai Zhao, David Crandall
   International Conference on Case-Based Reasoning (ICCBR), 2024
2. Learning Analogies between Classes to Create Counterfactual Explanations
   Xiaomeng Ye, David Leake, Yu Wang, Zonghai Zhao, David Crandall
   International Workshop on Analogical Reasoning and Machine Learning (IARML), IJCAI 2024

2022

1. Medical Image Fusion Based on Pixel-Level Nonlocal Self-Similarity Prior and Optimization
   Rui Zhu, Xiongfei Li, Yu Wang, Xiaoli Zhang
   International Conference on Database Systems for Advanced Applications (DASFAA), 2022

2021

1. A Multi-Focus Image Fusion Framework Based on Multi-Scale Sparse Representation in Gradient Domain
   Yu Wang, Xiongfei Li, Rui Zhu, Zeyu Wang, Yuncong Feng, Xiaoli Zhang
   Signal Processing, 2021

Academic Service