Zhu, Song-Chun

Interpretable Convolutional Neural Networks

Zhang, Q., Wu, Y. N., & Zhu, S.-C. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 833

Diffusion-based Generation, Optimization, and Planning in 3D Scenes

Huang, S., Wang, Z., Li, P., Jia, B., Liu, T., Zhu, Y., Liang, W., & Zhu, S.-C. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis

Cited by 192

Scene Parsing by Integrating Function, Geometry and Appearance Models

Zhao, Y., & Zhu, S.-C. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 135

ProAgent: Building Proactive Cooperative Agents with Large Language Models

Zhang, C., Yang, K., Hu, S., Wang, Z., Li, G., Sun, Y., Zhang, C., Zhang, Z., Liu, A., Zhu, S.-C., et al. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Reinforcement Learning in RoboticsMulti-Agent Systems and Negotiation

Cited by 88

High-Fidelity Grasping in Virtual Reality using a Glove-based System

Liu, H., Zhang, Z., Xie, X., Zhu, Y., Liu, Y., Wang, Y., & Zhu, S.-C. (2019) · 2019 International Conference on Robotics and Automation (ICRA)

Teleoperation and Haptic SystemsHand Gesture Recognition Systems

Cited by 73

A glove-based system for studying hand-object manipulation via joint pose and force sensing

Liu, H., Xie, X., Millar, M., Edmonds, M., Gao, F., Zhu, Y., Santos, V. J., Rothrock, B., & Zhu, S.-C. (2017) · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Hand Gesture Recognition SystemsRobot Manipulation and Learning

Cited by 60

Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning

Lu, P., Qiu, L., Chang, K.-W., Wu, Y. N., Zhu, S.-C., Rajpurohit, T., Clark, P., & Kalyan, A. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 45

Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Tang, X., Zheng, Z., Li, J., Meng, F., Zhu, S.-C., Liang, Y., & Zhang, M. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 37

Egotaskqa: Understanding human tasks in egocentric videos

Jia, B., Lei, T., Zhu, S.-C., & Huang, S. (2022) · Advances in Neural Information Processing Systems 35

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 28

MindAgent: Emergent Gaming Interaction

Gong, R., Huang, Q., Ma, X., Vo, H., Durante, Z., Noda, Y., Zheng, Z., Zhu, S.-C., Terzopoulos, D., Fei-Fei, L., et al. (2023) · arXiv

Artificial Intelligence in GamesMulti-Agent Systems and Negotiation

Cited by 1

The AI Hippocampus: How Far are We From Human Memory?

Jia, Z., Li, J., Kang, Y., Wang, Y., Wu, T., Wang, Q., Wang, X., Zhang, S., Shen, J., Li, Q., et al. (2026) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 0

Cross-robot behavior adaptation through intention alignment

Chen, X., Gao, Y., Liu, H., Yang, F., Ghadirzadeh, A., Yang, J., Liang, B., Zhang, C., Lam, T. L., & Zhu, S.-C. (2026) · Science Robotics

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 0