Shuang Li

Orcid: 0000-0002-7276-5032

Affiliations:
  • University of Toronto and Vector Institute, Canada
  • Massachusetts Institute of Technology, CSAIL, Cambridge, MA, USA
  • Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong


According to our database1, Shuang Li authored at least 30 papers between 2016 and 2023.

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Bibliography

2023
A Function Interpretation Benchmark for Evaluating Interpretability Methods.
CoRR, 2023

Improving Factuality and Reasoning in Language Models through Multiagent Debate.
CoRR, 2023

ConceptFusion: Open-set Multimodal 3D Mapping.
CoRR, 2023


FIND: A Function Description Benchmark for Evaluating Interpretability Methods.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Compositional Foundation Models for Hierarchical Planning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Composing Ensembles of Pre-trained Models via Iterative Consensus.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Open-vocabulary Panoptic Segmentation with Embedding Modulation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Pre-Trained Language Models for Interactive Decision-Making.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Iterative Reasoning through Energy Minimization.
Proceedings of the International Conference on Machine Learning, 2022

Compositional Visual Generation with Composable Diffusion Models.
Proceedings of the Computer Vision - ECCV 2022, 2022

Energy-Based Models for Continual Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
Learning to Compose Visual Relations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Learning of Compositional Energy Concepts.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improved Contrastive Divergence Training of Energy-Based Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration.
Proceedings of the 9th International Conference on Learning Representations, 2021

Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

3D Neural Scene Representations for Visuomotor Control.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Energy-Based Models for Continual Learning.
CoRR, 2020

Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration.
CoRR, 2020

Compositional Visual Generation and Inference with Energy Based Models.
CoRR, 2020

Compositional Visual Generation with Energy Based Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018
Question-Guided Hybrid Convolution for Visual Question Answering.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Statistical Evaluation of No-Reference Image Quality Assessment Metrics for Remote Sensing Images.
ISPRS Int. J. Geo Inf., 2017

Learning Feature Pyramids for Human Pose Estimation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Identity-Aware Textual-Visual Matching with Latent Co-attention.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Joint Detection and Identification Feature Learning for Person Search.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Person Search with Natural Language Description.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
End-to-End Deep Learning for Person Search.
CoRR, 2016


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