研究旨在通过将高阶常识（功能性、可供性、直觉物理、因果、意图等）与原始感官信号（像素、触觉等）相结合构建交互式人工智能，以赋予对物体、场景、形状、数字和智能体的丰富表征和抽象推理能力。

2025

Zhao, Z., Li, W., Li, Y., Liu, T., Li, B., Wang, M., Du, K., Liu, H., Zhu, Y., Wang, Q., Althoefer, K., & Zhu, S.-C. (2025). Embedding high-resolution touch across robotic hands enables adaptive human-like grasping. Nature Machine Intelligence, 7, 889-900.

Zhao, Z., Li, Y., Li, W., Qi, Z., Ruan, L., Zhu, Y., & Althoefer, K. (2025). Tac-Man: Tactile-Informed Prior-Free Manipulation of Articulated Objects. IEEE Transactions on Robotics, 41, 538-557.

Peng, Y., Ma, Y., Wang, M., Wang, Y., Zhang, C., Zhu, Y., & Zheng, Z. (2025). Probing and Inducing Combinational Creativity in Vision-Language Models. Annual Conference of the Cognitive Science Society (CogSci).

Ma, Y., Peng, Y., & Zhu, Y. (2025). Word Embeddings Track Social Group Changes Across 70 Years in China. Annual Conference of the Cognitive Science Society (CogSci).

Li, S., Ma, Y., Yan, J., Dai, B., Peng, Y., Zhang, C., & Zhu, Y. (2025). A simulation-heuristics dual-process model for intuitive physics. Annual Conference of the Cognitive Science Society (CogSci).

Cui, J., Liu, T., Meng, Z., Yu, J., Song, R., Zhang, W., Zhu, Y., & Huang, S. (2025). GROVE: A Generalized Reward for Learning Open-Vocabulary Physical Skill. Computer Vision and Pattern Recognition (CVPR).

Nan, J., Li, H., Yuan, Z., He, Z., Chen, Y., Liu, T., Zhu, Y., & Huang, S. (2025). Dynamic Motion Blending for Versatile Motion Editing. Computer Vision and Pattern Recognition (CVPR).

2024

Li, W., Zhao, Z., Cui, L., Zhang, W., Liu, H., Li, L.-A., & Zhu, Y. (2024). MiniTac: An Ultra-Compact 8 mm Vision-Based Tactile Sensor for Enhanced Palpation in Robot-Assisted Minimally Invasive Surgery. IEEE Robotics and Automation Letters, 9(12), 11170-11177.

Zhang, C., Jia, B., Zhu, Y., & Zhu, S.-C. (2024). Human-level few-shot concept induction through minimax entropy learning. Science Advances, 16, eadg2488.

Li, Y., Liu, B., Geng, Y., Li, P., Yang, Y., Zhu, Y., Liu, T., & Huang, S. (2024). Grasp Multiple Objects with One Hand. IEEE Robotics and Automation Letters, 9(5), 4027-4034.

Ni, J., Chen, Y., Jing, B., Jiang, N., Wang, B., Dai, B., Li, P., Zhu, Y., Zhu, S.-C., & Huang, S. (2024). PhyRecon: Physically Plausible Neural Scene Reconstruction. Neural Information Processing Systems (NeurIPS).

Jiang, N., He, Z., Wang, Z., Li, H., Chen, Y., Huang, S., & Zhu, Y. (2024). Autonomous Character-Scene Interaction Synthesis from Text Instruction. SIGGRAPH Asia Conference Papers.

Li, P., Liu, T., Li, Y., Han, M., Geng, H., Wang, S., Zhu, Y., Zhu, S.-C., & Huang, S. (2024). Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations. International Conference on Intelligent Robots and Systems (IROS).

Ding, K., Chen, B., Wu, R., Li, Y., Zhang, Z., Gao, H.-A., Li, S., Zhu, Y., Zhou, G., Dong, H., & Zhao, H. (2024). PreAfford: Universal Affordance-Based Pre-Grasping for Diverse Objects and Environments. International Conference on Intelligent Robots and Systems (IROS).

Cheng, X., Deng, C., Harley, A., Zhu, Y., & Guibas, L. (2024). Zero-Shot Image Feature Consensus with Deep Functional Maps. European Conference on Computer Vision (ECCV).

Wang, J., Zhang, C., Li, J., Ma, Y., Niu, L., Han, J., Peng, Y., Zhu, Y., & Fan, L. (2024). Evaluating and Modeling Social Intelligence: A Comparative Study of Human and AI Capabilities. Annual Conference of the Cognitive Science Society (CogSci).

Jiang, N., Zhang, Z., Li, H., Ma, X., Wang, Z., Chen, Y., Liu, T., Zhu, Y., & Huang, S. (2024). Scaling Up Dynamic Human-Scene Interaction Modeling. Computer Vision and Pattern Recognition (CVPR).

Cui, J., Liu, T., Liu, N., Yang, Y., Zhu, Y., & Huang, S. (2024). AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents. Computer Vision and Pattern Recognition (CVPR).

Wang, Z., Chen, Y., Jia, B., Li, P., Zhang, J., Zhang, J., Liu, T., Zhu, Y., Liang, W., & Huang, S. (2024). Move as You Say, Interact as You Can: Language-guided Human Motion Generation with Scene Affordance. Computer Vision and Pattern Recognition (CVPR).

Chen, Y., Ni, J., Jiang, N., Zhang, Y., Zhu, Y., & Huang, S. (2024). Single-view 3D Scene Reconstruction with High-fidelity Shape and Texture. International Conference on 3D Vision (3DV).

Li, S., Wu, K., Zhang, C., & Zhu, Y. (2024). I-PHYRE: Interactive Physical Reasoning. International Conference on Learning Representations (ICLR).

Wang, Q., Zhang, H., Deng, C., You, Y., Dong, H., Zhu, Y., & Guibas, L. (2024). SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation. International Conference on Learning Representations (ICLR).

Li, Q., Zhu, Y., Liang, Y., Wu, Y. N., Zhu, S.-C., & Huang, S. (2024). Neural-Symbolic Recursive Machine for Systematic Generalization. International Conference on Learning Representations (ICLR).

2023

Liu, H., Zhang, Z., Jiao, Z., Zhang, Z., Li, M., Jiang, C., Zhu, Y., & Zhu, S.-C. (2023). A Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps. Engineering, 32, 202-216.

Cui, J., Gong, Z., Jia, B., Huang, S., Zheng, Z., Ma, J., & Zhu, Y. (2023). ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab. Neural Information Processing Systems (NeurIPS).

Xu, M., Jiang, G., Liang, W., Zhang, C., & Zhu, Y. (2023). Active Reasoning in an Open-World Environment. Neural Information Processing Systems (NeurIPS).

Ma, X., Kaufhold, S., Su, J., Zhu, W., Terwilliger, J., Meza, A., Zhu, Y., Rossano, F., & Wang, Y. (2023). ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors. Neural Information Processing Systems (NeurIPS).

Jiang, G., Xu, M., Zhu, S.-C., Han, W., Zhang, C., & Zhu, Y. (2023). Evaluating and Inducing Personality in Pre-trained Language Models. Neural Information Processing Systems (NeurIPS).

Xu, M., Jiang, G., Liang, W., Zhang, C., & Zhu, Y. (2023). Interactive Visual Reasoning under Uncertainty. Neural Information Processing Systems (NeurIPS).

Jiang, N., Liu, T., Cao, Z., Cui, J., Chen, Y., Wang, H., Zhu, Y., & Huang, S. (2023). Full-Body Articulated Human-Object Interaction. International Conference on Computer Vision (ICCV).

Dai, B., Wang, L., Jia, B., Zhu, S.-C., Zhang, C., & Zhu, Y. (2023). X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events. International Conference on Computer Vision (ICCV).

Zhang, Z., Han, M., Jia, B., Jiao, Z., Zhu, Y., Zhu, S.-C., & Liu, H. (2023). Learning a Causal Transition Model for Object Cutting. International Conference on Intelligent Robots and Systems (IROS).

Zhang, Z., Zhang, L., Wang, Z., Jiao, Z., Han, M., Zhu, Y., Zhu, S.-C., & Liu, H. (2023). Part-level Scene Reconstruction Affords Robot Interaction. International Conference on Intelligent Robots and Systems (IROS).

Su, Y., Li, J., Jiao, Z., Wang, M., Chu, C., Li, H., Zhu, Y., & Liu, H. (2023). Sequential Manipulation Planning for Over-actuated Unmanned Aerial Manipulators. International Conference on Intelligent Robots and Systems (IROS).

Jiang, G., Xu, M., Xin, S., Liang, W., Peng, Y., Zhang, C., & Zhu, Y. (2023). MEWL: Few-shot multimodal word learning with referential uncertainty. International Conference on Machine Learning (ICML).

Shi, Y.-Z., Xu, M., Hopcroft, J., He, K., Tenenbaum, J. B., Wu, Y. N., Zhu, S.-C., Han, W., & Zhu, Y. (2023). On the Complexity of Bayesian Generalization. International Conference on Machine Learning (ICML).

Huang, S., Wang, Z., Li, P., Jia, B., Liu, T., Zhu, Y., Liang, W., & Zhu, S.-C. (2023). Diffusion-based Generation, Optimization, and Planning in 3D Scenes. Computer Vision and Pattern Recognition (CVPR).

Li, Y., Chen, X., Zhao, H., Gong, J., Zhou, G., Rossano, F., & Zhu, Y. (2023). Understanding Embodied Reference with Touch-Line Transformer. International Conference on Learning Representations (ICLR).

Li, Q., Huang, S., Hong, Y., Zhu, Y., Wu, Y. N., & Zhu, S.-C. (2023). A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics. International Conference on Learning Representations (ICLR).

Li, P., Liu, T., Li, Y., Geng, Y., Zhu, Y., Yang, Y., & Huang, S. (2023). GenDexGrasp: Generalizable Dexterous Grasping. International Conference on Robotics and Automation (ICRA).

Wang, W., Zhang, Z., Jiao, Z., Zhu, Y., Zhu, S.-C., & Liu, H. (2023). Rearrange Indoor Scenes for Human-Robot Co-Activity. International Conference on Robotics and Automation (ICRA).

2022

Fan, L., Xu, M., Cao, Z., Zhu, Y., & Zhu, S.-C. (2022). Artificial Social Intelligence: A Comparative and Holistic View. CAAI Artificial Intelligence Research, 1(2), 144-160.

Han, M., Zhang, Z., Jiao, Z., Xie, X., Zhu, Y., Zhu, S.-C., & Liu, H. (2022). Scene Reconstruction with Functional Objects for Robot Autonomy. International Journal of Computer Vision, 130(12), 2940-2961.

Yuan, L., Gao, X., Zheng, Z., Edmonds, M., Wu, Y. N., Rossano, F., Lu, H., Zhu, Y., & Zhu, S.-C. (2022). In situ bidirectional human-robot value alignment. Science Robotics, 7, eabm4183.

Zhang, Z., Jiao, Z., Wang, W., Zhu, Y., Zhu, S.-C., & Liu, H. (2022). Understanding Physical Effects for Effective Tool-use. IEEE Robotics and Automation Letters, 7(4), 9469-9576.

Zhao, M., Tang, N., Dahmani, A. L., Zhu, Y., Rossano, F., & Gao, T. (2022). Sharing Rewards Undermines Coordinated Hunting. Journal of Computational Biology, 29(9), 1022-1030.

Su, Y., Jiang, Y., Zhu, Y., & Liu, H. (2022). Object Gathering with a Tethered Robot Duo. IEEE Robotics and Automation Letters, 7(2), 2132-2139.

Li, S., Wu, K., Zhang, C., & Zhu, Y. (2022). On the Learning Mechanisms in Physical Reasoning. Neural Information Processing Systems (NeurIPS).

Qiu, S., Xie, S., Fan, L., Gao, T., Joo, J., Zhu, S.-C., & Zhu, Y. (2022). Emergent Graphical Conventions in a Visual Communication Game. Neural Information Processing Systems (NeurIPS).

Wang, Z., Chen, Y., Liu, T., Zhu, Y., Liang, W., & Huang, S. (2022). HUMANISE: Language-conditioned Human Motion Generation in 3D Scenes. Neural Information Processing Systems (NeurIPS).

Zhang, C., Xie, S., Jia, B., Wu, Y. N., Zhu, S.-C., & Zhu, Y. (2022). Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning. European Conference on Computer Vision (ECCV).

Jiao, Z., Niu, Y., Zhang, Z., Zhu, S.-C., Zhu, Y., & Liu, H. (2022). Sequential Manipulation Planning on Scene Graph. International Conference on Intelligent Robots and Systems (IROS).

Su, Y., Chu, C., Wang, M., Li, J., Liu, Y., Zhu, Y., & Liu, H. (2022). Downwash-aware Control Allocation for Over-actuated UAV Platforms. International Conference on Intelligent Robots and Systems (IROS).

Yu, P., Xie, S., Ma, X., Jia, B., Pang, B., Gao, R., Zhu, Y., Wu, Y. N., & Zhu, S.-C. (2022). Latent Diffusion Energy-Based Model for Interpretable Text Modeling. International Conference on Machine Learning (ICML).

Jiang, K., Dahmani, A., Stacy, S., Jiang, B., Rossano, F., Zhu, Y., & Gao, T. (2022). What Is the Point? A Theory of Mind Model of Relevance. Annual Conference of the Cognitive Science Society (CogSci).

2021

Liu, T., Liu, Z., Jiao, Z., Zhu, Y., & Zhu, S.-C. (2021). Synthesizing Diverse and Physically Stable Grasps with Arbitrary Hand Structures using Differentiable Force Closure Estimator. IEEE Robotics and Automation Letters, 7(1), 470-477.

Liu, H., Zhu, Y., & Zhu, S.-C. (2021). Patching interpretable And-Or-Graph knowledge representation using augmented reality. Applied AI Letters, 2(4), e43.

Li, Y., Li, X., Li, M., Zhu, Y., Zhu, B., & Jiang, C. (2021). Lagrangian-Eulerian Multi-Density Topology Optimization with the Material Point Method. International Journal for Numerical Methods in Engineering, 122(14), 3400-3424.

Yu, P., Xie, S., Ma, X., Jia, B., Pang, B., Gao, R., Zhu, Y., Wu, Y. N., & Zhu, S.-C. (2021). Unsupervised Foreground Extraction via Deep Region Competition. Neural Information Processing Systems (NeurIPS).

Huang, S., Xie, Y., Zhu, S.-C., & Zhu, Y. (2021). Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds. International Conference on Computer Vision (ICCV).

Chen, Y., Li, Q., Kong, D., Kei, Y.-L., Gao, T., Zhu, Y., Zhu, S.-C., & Huang, S. (2021). YouRefIt: Embodied Reference Understanding with Language and Gesture. International Conference on Computer Vision (ICCV).

Jiao, Z., Zhang, Z., Jiang, X., Han, D., Zhu, S.-C., Zhu, Y., & Liu, H. (2021). Consolidated Kinematic Models Promote Coordinated Mobile Manipulations. International Conference on Intelligent Robots and Systems (IROS).

Jiao, Z., Zhang, Z., Wang, W., Han, D., Zhu, S.-C., Zhu, Y., & Liu, H. (2021). Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective. International Conference on Intelligent Robots and Systems (IROS).

Wu, Q., Wi, C., Zhu, Y., & Joo, J. (2021). Communicative Learning via Instructional Gestures for Embodied Navigation Agents. International Conference on Intelligent Robots and Systems (IROS).

Jiang, K., Stacy, S., Wei, C., Chan, A., Rossano, F., Zhu, Y., & Gao, T. (2021). Individual vs. Joint Perception: a Pragmatic Model of Pointing as Communicative Smithian Helping. Annual Conference of the Cognitive Science Society (CogSci).

Zheng, Z., Qiu, S., Fan, L., Zhu, Y., & Zhu, S.-C. (2021). GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning. Findings of the Association for Computational Linguistics (ACL-Findings).

Fan, L., Qiu, S., Zheng, Z., Gao, T., Zhu, S.-C., & Zhu, Y. (2021). Learning Triadic Belief Dynamics in Nonverbal Communication from Videos. Computer Vision and Pattern Recognition (CVPR).

Zhang, C., Jia, B., Zhu, S.-C., & Zhu, Y. (2021). Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution. Computer Vision and Pattern Recognition (CVPR).

Zhang, C., Jia, B., Edmonds, M., Zhu, S.-C., & Zhu, Y. (2021). ACRE: Abstract Causal REasoning Beyond Covariation. Computer Vision and Pattern Recognition (CVPR).

Han, M., Zhang, Z., Jiao, Z., Xie, X., Zhu, Y., Zhu, S.-C., & Liu, H. (2021). Reconstructing Interactive 3D Scenes via Panoptic Mapping and Physical Reasoning. International Conference on Robotics and Automation (ICRA).

Xie, X., Zhang, C., Zhu, Y., Wu, Y. N., & Zhu, S.-C. (2021). Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance. International Conference on Robotics and Automation (ICRA).

2020

Zhu, Y., Gao, T., Fan, L., Huang, S., Edmonds, M., Liu, H., Gao, F., Zhang, C., Si, Q., Wu, Y. N., Tenenbaum, J. B., & Zhu, S.-C. (2020). Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense. Engineering, 6(3), 310-345.

Wang, X., Qiu, Y., Slattery, S., Fang, Y., Li, M., Zhu, S.-C., Zhu, Y., Tang, M., Manocha, D., & Jiang, C. (2020). A Massively Parallel and Scalable Multi-GPU Material Point Method. ACM Transactions on Graphics, 39(4).

Fang, Y., Qu, Z., Li, M., Zhang, X., Zhu, Y., Aanjaneya, M., & Jiang, C. (2020). IQ-MPM: An Interface Quadrature Material Point Method for Non-sticky Strongly Two-Way Coupled Nonlinear Solids and Fluids. ACM Transactions on Graphics, 39(4).

Jia, B., Chen, Y., Huang, S., Zhu, Y., & Zhu, S.-C. (2020). LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities. European Conference on Computer Vision (ECCV).

Zhang, Z., Zhu, Y., & Zhu, S.-C. (2020). Graph-based Hierarchical Knowledge Representation for Robot Task Transfer from Virtual to Physical World. International Conference on Intelligent Robots and Systems (IROS).

Qiu, S., Liu, H., Zhang, Z., Zhu, Y., & Zhu, S.-C. (2020). Human-Robot Interaction in a Shared Augmented Reality Workspace. International Conference on Intelligent Robots and Systems (IROS).

Yuan, T., Liu, H., Fan, L., Zheng, Z., Gao, T., Zhu, Y., & Zhu, S.-C. (2020). Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs. International Conference on Robotics and Automation (ICRA).

Zhang, Z., Liu, H., Jiao, Z., Zhu, Y., & Zhu, S.-C. (2020). Congestion-aware Evacuation Routing using Augmented Reality Devices. International Conference on Robotics and Automation (ICRA).

Edmonds, M., Ma, X., Qi, S., Zhu, Y., Lu, H., & Zhu, S.-C. (2020). Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning. AAAI Conference on Artificial Intelligence (AAAI).

Zhang, W., Zhang, C., Zhu, Y., & Zhu, S.-C. (2020). Machine Number Sense: Abstract Symbolic-Processing and Concrete Problem-Solving. AAAI Conference on Artificial Intelligence (AAAI).

2019

Edmonds, M., Gao, F., Liu, H., Xie, X., Qi, S., Rothrock, B., Zhu, Y., Wu, Y. N., Lu, H., & Zhu, S.-C. (2019). A tale of two explanations: Enhancing human trust by explaining robot behavior. Science Robotics, 4, eaay4663.

Zhang, C., Jia, B., Gao, F., Zhu, Y., Lu, H., & Zhu, S.-C. (2019). Learning Perceptual Inference by Contrasting. Neural Information Processing Systems (NeurIPS).

Huang, S., Chen, Y., Yuan, T., Qi, S., Zhu, Y., & Zhu, S.-C. (2019). 3D Object Detection from a Single RGB Image via Perspective Points. Neural Information Processing Systems (NeurIPS).

Chen, Y., Huang, S., Yuan, T., Zhu, Y., Qi, S., & Zhu, S.-C. (2019). Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense. International Conference on Computer Vision (ICCV).

Xie, X., Li, C., Zhang, C., Zhu, Y., & Zhu, S.-C. (2019). Learning Virtual Grasp with Failed Demonstrations via Bayesian Inverse Reinforcement Learning. International Conference on Intelligent Robots and Systems (IROS).

Edmonds, M., Qi, S., Zhu, Y., Kubricht, J., Zhu, S.-C., & Lu, H. (2019). Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning. Annual Conference of the Cognitive Science Society (CogSci).

Zhang, C., Gao, F., Jia, B., Zhu, Y., & Zhu, S.-C. (2019). RAVEN: A Dataset for Relational and Analogical Visual rEasoNing. Computer Vision and Pattern Recognition (CVPR).

Xie, X., Liu, H., Zhang, Z., Qiu, Y., Gao, F., Qi, S., Zhu, Y., & Zhu, S.-C. (2019). VRGym: A Virtual Testbed for Physical and Interactive AI. ACM Turing Celebration Conference (TURC).

Liu, H., Zhang, Z., Xie, X., Zhu, Y., Liu, Y., Wang, Y., & Zhu, S.-C. (2019). High-Fidelity Grasping in Virtual Reality using a Glove-based System. International Conference on Robotics and Automation (ICRA).

Liu, H., Zhang, Z., Zhu, Y., & Zhu, S.-C. (2019). Self-Supervised Incremental Learning for Sound Source Localization in Complex Indoor Environment. International Conference on Robotics and Automation (ICRA).

Liu, H., Zhang, C., Zhu, Y., Jiang, C., & Zhu, S.-C. (2019). Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions. AAAI Conference on Artificial Intelligence.

Zhang, C., Zhu, Y., & Zhu, S.-C. (2019). MetaStyle: Three-Way Trade-Off Among Speed, Flexibility and Quality in Neural Style Transfer. AAAI Conference on Artificial Intelligence.

2018

Jiang, C., Qi, S., Zhu, Y., Huang, S., Lin, J., Yu, L.-F., Terzopoulos, D., & Zhu, S.-C. (2018). Configurable 3D Scene Synthesis and 2D Image Rendering with Per-Pixel Ground Truth using Stochastic Grammars. International Journal of Computer Vision, 126(9), 920-941.

Hu, Y., Fang, Y., Ge, Z., Qu, Z., Zhu, Y., Pradhana, A., & Jiang, C. (2018). A Moving Least Squares Material Point Method with Displacement Discontinuity and Two-Way Rigid Body Coupling. ACM Transactions on Graphics, 37(4).

Huang, S., Qi, S., Zhu, Y., Xiao, Y., Xu, Y., & Zhu, S.-C. (2018). Cooperative Holisctic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation. Neural Information Processing Systems (NeurIPS).

Huang, S., Qi, S., Zhu, Y., Xiao, Y., Xu, Y., & Zhu, S.-C. (2018). 3D Scene Parsing and Reconstruction from a Single RGB Image via Holistic Scene Grammar. European Conference on Computer Vision (ECCV).

Edmonds, M., Kubricht, J., Summers, C., Zhu, Y., Rothrock, B., Zhu, S.-C., & Lu, H. (2018). Human Causal Transfer: Challenges for Deep Reinforcement Learning. Annual Conference of the Cognitive Science Society (CogSci).

Qi, S., Zhu, Y., Huang, S., Jiang, C., & Zhu, S.-C. (2018). Human-centric Indoor Scene Synthesis using Stochastic Grammar. Computer Vision and Pattern Recognition (CVPR).

Liu, H., Zhang, Y., Si, W., Xie, X., Zhu, Y., & Zhu, S.-C. (2018). Interactive Robot Knowledge Patching using Augmented Reality. International Conference on Robotics and Automation (ICRA).

Xie, X., Liu, H., Edmonds, M., Gao, F., Qi, S., Zhu, Y., Rothrock, B., & Zhu, S.-C. (2018). Unsupervised Learning of Hierarchical Models for Hand-Object Interactions using Tactile Glove. International Conference on Robotics and Automation (ICRA).

Wang, D., Kubricht, J., Zhu, Y., Liang, W., Zhu, S.-C., Jiang, C., & Lu, H. (2018). Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events. IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR).

Liang, W., Zhu, Y., & Zhu, S.-C. (2018). Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning about Containment Relations and Human Actions. AAAI Conference on Artificial Intelligence (AAAI).

2017

Ye, T., Qi, S., Kubricht, J., Zhu, Y., Lu, H., & Zhu, S.-C. (2017). The Martian: Examining Human Physical Judgments Across Virtual Gravity Fields. IEEE Transactions on Visualization and Computer Graphics, 23(4), 1399-1408.

Edmonds, M., Gao, F., Xie, X., Liu, H., Zhu, Y., Rothrock, B., & Zhu, S.-C. (2017). Feeling the Force: Integrating Force and Pose for Fluent Discovery through Imitation Learning to Open Medicine Bottles. International Conference on Intelligent Robots and Systems (IROS).

Liu, H., Xie, X., Millar, M., Edmonds, M., Gao, F., Zhu, Y., Santos, V. J., Rothrock, B., & Zhu, S.-C. (2017). A Glove-based System for Studying Hand-Object Manipulation via Pose and Force Sensing. International Conference on Intelligent Robots and Systems (IROS).

Kubricht, J., Zhu, Y., Jiang, C., Terzopoulos, D., Zhu, S.-C., & Lu, H. (2017). Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics. Annual Conference of the Cognitive Science Society (CogSci).

Lin, J., Zhu, Y., Kubricht, J., Zhu, S.-C., & Lu, H. (2017). Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task. Annual Conference of the Cognitive Science Society (CogSci).

2016

Lin, J., Guo, X., Shao, J., Jiang, C., Zhu, Y., & Zhu, S.-C. (2016). A Virtual Reality Platform for Dynamic Human-Scene Interaction. ACM SIGGRAPH Asia 2016, Workshop on Virtual Reality meets Physical Reality.

Liang, W., Zhao, Y., Zhu, Y., & Zhu, S.-C. (2016). What is Where: Inferring Containment Relations from Videos. International Joint Conference on Artificial Intelligence (IJCAI).

Kubricht, J., Jiang, C., Zhu, Y., Zhu, S.-C., Terzopoulos, D., & Lu, H. (2016). Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem. Annual Conference of the Cognitive Science Society (CogSci).

Zhu, Y., Jiang, C., Zhao, Y., Terzopoulos, D., & Zhu, S.-C. (2016). Inferring Forces and Learning Human Utilities From Videos. Computer Vision and Pattern Recognition (CVPR).

2015

Liang, W., Zhao, Y., Zhu, Y., & Zhu, S.-C. (2015). Evaluating Human Cognition of Containing Relations with Physical Simulation. Annual Conference of the Cognitive Science Society (CogSci).

Zhu, Y., Zhao, Y., & Zhu, S.-C. (2015). Understanding Tools: Task-Oriented Object Modeling, Learning and Recognition. Computer Vision and Pattern Recognition (CVPR).