End-to-End Deep Learning for Person Search. - Tong Xiao; Shuang Li 013; Bochao Wang; Liang Lin; Xiaogang Wang 001 (CoRR, 2016)

Person Search with Natural Language Description. - Shuang Li 013; Tong Xiao; Hongsheng Li 001; Bolei Zhou; Dayu Yue; Xiaogang Wang 001 (CVPR, 2017)

Joint Detection and Identification Feature Learning for Person Search. - Tong Xiao; Shuang Li 013; Bochao Wang; Liang Lin; Xiaogang Wang 001 (CVPR, 2017)

Identity-Aware Textual-Visual Matching with Latent Co-attention. - Shuang Li 013; Tong Xiao; Hongsheng Li 001; Wei Yang 019; Xiaogang Wang 001 (ICCV, 2017)

Learning Feature Pyramids for Human Pose Estimation. - Wei Yang 019; Shuang Li 013; Wanli Ouyang; Hongsheng Li 001; Xiaogang Wang 001 (ICCV, 2017)

Statistical Evaluation of No-Reference Image Quality Assessment Metrics for Remote Sensing Images. - Shuang Li 013; Zewei Yang; Hongsheng Li 001 (ISPRS Int. J. Geo Inf., 2017)

Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-Identification. - Shuang Li 013; Slawomir Bak; Peter Carr 001; Xiaogang Wang 001 (CVPR, 2018)

Question-Guided Hybrid Convolution for Visual Question Answering. - Peng Gao 007; Hongsheng Li 001; Shuang Li 013; Pan Lu; Yikang Li 002; Steven C. H. Hoi; Xiaogang Wang 001 (ECCV (1), 2018)

Compositional Visual Generation with Energy Based Models. - Yilun Du; Shuang Li 013; Igor Mordatch (NeurIPS, 2020)

Compositional Visual Generation and Inference with Energy Based Models. - Yilun Du; Shuang Li 013; Igor Mordatch (CoRR, 2020)

Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. - Xavier Puig; Tianmin Shu; Shuang Li 013; Zilin Wang; Joshua B. Tenenbaum; Sanja Fidler; Antonio Torralba 001 (CoRR, 2020)

Energy-Based Models for Continual Learning. - Shuang Li 013; Yilun Du; Gido M. van de Ven; Antonio Torralba 001; Igor Mordatch (CoRR, 2020)

3D Neural Scene Representations for Visuomotor Control. - Yunzhu Li; Shuang Li 013; Vincent Sitzmann; Pulkit Agrawal 001; Antonio Torralba 001 (CoRL, 2021)

Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions. - Shuang Li 013; Yilun Du; Antonio Torralba 001; Josef Sivic; Bryan C. Russell (ICCV, 2021)

Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. - Xavier Puig; Tianmin Shu; Shuang Li 013; Zilin Wang; Yuan-Hong Liao; Joshua B. Tenenbaum; Sanja Fidler; Antonio Torralba 001 (ICLR, 2021)

Improved Contrastive Divergence Training of Energy-Based Models. - Yilun Du; Shuang Li 013; Joshua B. Tenenbaum; Igor Mordatch (ICML, 2021)

Unsupervised Learning of Compositional Energy Concepts. - Yilun Du; Shuang Li 013; Yash Sharma 001; Josh Tenenbaum 001; Igor Mordatch (NeurIPS, 2021)

Learning to Compose Visual Relations. - Nan Liu 010; Shuang Li 013; Yilun Du; Josh Tenenbaum 001; Antonio Torralba 001 (NeurIPS, 2021)

Energy-Based Models for Continual Learning. - Shuang Li 013; Yilun Du; Gido van de Ven; Igor Mordatch (CoLLAs, 2022)

Compositional Visual Generation with Composable Diffusion Models. - Nan Liu 010; Shuang Li 013; Yilun Du; Antonio Torralba 001; Joshua B. Tenenbaum (ECCV (17), 2022)

Learning Iterative Reasoning through Energy Minimization. - Yilun Du; Shuang Li 013; Joshua B. Tenenbaum; Igor Mordatch (ICML, 2022)

Pre-Trained Language Models for Interactive Decision-Making. - Shuang Li 013; Xavier Puig; Chris Paxton 001; Yilun Du; Clinton Wang; Linxi Fan; Tao Chen 046; De-An Huang; Ekin Akyürek; Anima Anandkumar; Jacob Andreas; Igor Mordatch; et al. (NeurIPS, 2022)

Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. - Nan Liu 010; Yilun Du; Shuang Li 013; Joshua B. Tenenbaum; Antonio Torralba 001 (ICCV, 2023)

Open-vocabulary Panoptic Segmentation with Embedding Modulation. - Xi Chen; Shuang Li 013; Ser-Nam Lim; Antonio Torralba 001; Hengshuang Zhao (ICCV, 2023)

Composing Ensembles of Pre-trained Models via Iterative Consensus. - Shuang Li 013; Yilun Du; Joshua B. Tenenbaum; Antonio Torralba 001; Igor Mordatch (ICLR, 2023)

Compositional Foundation Models for Hierarchical Planning. - Anurag Ajay; Seungwook Han; Yilun Du; Shuang Li 013; Abhi Gupta; Tommi S. Jaakkola; Joshua B. Tenenbaum; Leslie Pack Kaelbling; Akash Srivastava; Pulkit Agrawal 001 (NeurIPS, 2023)

FIND: A Function Description Benchmark for Evaluating Interpretability Methods. - Sarah Schwettmann; Tamar Rott Shaham; Joanna Materzynska; Neil Chowdhury; Shuang Li 013; Jacob Andreas; David Bau; Antonio Torralba 001 (NeurIPS, 2023)

ConceptFusion: Open-set multimodal 3D mapping. - Krishna Murthy Jatavallabhula; Alihusein Kuwajerwala; Qiao Gu; Mohd. Omama; Ganesh Iyer; Soroush Saryazdi; Tao Chen 046; Alaa Maalouf; Shuang Li 013; Nikhil Varma Keetha; Ayush Tewari; Joshua B. Tenenbaum; et al. (Robotics: Science and Systems, 2023)

ConceptFusion: Open-set Multimodal 3D Mapping. - Krishna Murthy Jatavallabhula; Alihusein Kuwajerwala; Qiao Gu; Mohd. Omama; Tao Chen 046; Shuang Li 013; Ganesh Iyer; Soroush Saryazdi; Nikhil Varma Keetha; Ayush Tewari; Joshua B. Tenenbaum; Celso Miguel de Melo; et al. (CoRR, 2023)

A Function Interpretation Benchmark for Evaluating Interpretability Methods. - Sarah Schwettmann; Tamar Rott Shaham; Joanna Materzynska; Neil Chowdhury; Shuang Li 013; Jacob Andreas; David Bau; Antonio Torralba 001 (CoRR, 2023)

Enabling Compositional Generalization of AI Systems - Shuang Li 013 (2023)

Wake-Sleep Energy Based Models for Continual Learning. - Vaibhav Singh; Anna Choromanska; Shuang Li 013; Yilun Du (CVPR Workshops, 2024)

Improving Factuality and Reasoning in Language Models through Multiagent Debate. - Yilun Du; Shuang Li 013; Antonio Torralba 001; Joshua B. Tenenbaum; Igor Mordatch (ICML, 2024)

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains. - Vighnesh Subramaniam; Yilun Du; Joshua B. Tenenbaum; Antonio Torralba 001; Shuang Li 013; Igor Mordatch (ICLR, 2025)