Shuang Li - RankMe

55 papers A* 21Misc 1Journal 27Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	VirtualEnv: A Platform for Embodied AI Research. AAAI Kabir Swain, Sijie Han, Ayush Raina, Jin Zhang, Shuang Li, Michael Stopa, Antonio Torralba
2026	J	`jnl`	VirtualEnv: A Platform for Embodied AI Research. CoRR Kabir Swain, Sijie Han, Ayush Raina, Jin Zhang, Shuang Li, Michael Stopa, Antonio Torralba
2025	A*	`conf`	Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains. ICLR Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch
2025	J	`jnl`	Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains. CoRR Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch
2024	A*	`conf`	Improving Factuality and Reasoning in Language Models through Multiagent Debate. ICML Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch
2024	—	`conf`	Wake-Sleep Energy Based Models for Continual Learning. CVPR Workshops Vaibhav Singh, Anna Choromanska, Shuang Li, Yilun Du
2023	J	`jnl`	A Function Interpretation Benchmark for Evaluating Interpretability Methods. CoRR Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba
2023	A*	`conf`	Composing Ensembles of Pre-trained Models via Iterative Consensus. ICLR Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch
2023	A*	`conf`	Compositional Foundation Models for Hierarchical Planning. NeurIPS Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal
2023	J	`jnl`	Compositional Foundation Models for Hierarchical Planning. CoRR Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Josh Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal
2023	J	`jnl`	ConceptFusion: Open-set Multimodal 3D Mapping. CoRR Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Tao Chen, Shuang Li, Ganesh Iyer, Soroush Saryazdi, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba
2023	—	`conf`	ConceptFusion: Open-set multimodal 3D mapping. Robotics: Science and Systems Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Ganesh Iyer, Soroush Saryazdi, Tao Chen, Alaa Maalouf, Shuang Li, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba
2023	—	`—`	Enabling Compositional Generalization of AI Systems Shuang Li
2023	A*	`conf`	FIND: A Function Description Benchmark for Evaluating Interpretability Methods. NeurIPS Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba
2023	J	`jnl`	Improving Factuality and Reasoning in Language Models through Multiagent Debate. CoRR Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch
2023	A*	`conf`	Open-vocabulary Panoptic Segmentation with Embedding Modulation. ICCV Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao
2023	J	`jnl`	Open-vocabulary Panoptic Segmentation with Embedding Modulation. CoRR Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao
2023	A*	`conf`	Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. ICCV Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba
2023	J	`jnl`	Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. CoRR Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba
2022	J	`jnl`	Composing Ensembles of Pre-trained Models via Iterative Consensus. CoRR Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch
2022	—	`conf`	Compositional Visual Generation with Composable Diffusion Models. ECCV (17) Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum
2022	J	`jnl`	Compositional Visual Generation with Composable Diffusion Models. CoRR Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum
2022	—	`conf`	Energy-Based Models for Continual Learning. CoLLAs Shuang Li, Yilun Du, Gido van de Ven, Igor Mordatch
2022	A*	`conf`	Learning Iterative Reasoning through Energy Minimization. ICML Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch
2022	J	`jnl`	Learning Iterative Reasoning through Energy Minimization. CoRR Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch
2022	A*	`conf`	Pre-Trained Language Models for Interactive Decision-Making. NeurIPS Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu
2022	J	`jnl`	Pre-Trained Language Models for Interactive Decision-Making. CoRR Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu
2021	Misc	`conf`	3D Neural Scene Representations for Visuomotor Control. CoRL Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba
2021	J	`jnl`	3D Neural Scene Representations for Visuomotor Control. CoRR Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba
2021	A*	`conf`	Improved Contrastive Divergence Training of Energy-Based Models. ICML Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch
2021	A*	`conf`	Learning to Compose Visual Relations. NeurIPS Nan Liu, Shuang Li, Yilun Du, Josh Tenenbaum, Antonio Torralba
2021	J	`jnl`	Learning to Compose Visual Relations. CoRR Nan Liu, Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba
2021	A*	`conf`	Unsupervised Learning of Compositional Energy Concepts. NeurIPS Yilun Du, Shuang Li, Yash Sharma, Josh Tenenbaum, Igor Mordatch
2021	J	`jnl`	Unsupervised Learning of Compositional Energy Concepts. CoRR Yilun Du, Shuang Li, Yash Sharma, Joshua B. Tenenbaum, Igor Mordatch
2021	A*	`conf`	Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. ICLR Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba
2021	A*	`conf`	Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions. ICCV Shuang Li, Yilun Du, Antonio Torralba, Josef Sivic, Bryan C. Russell
2021	J	`jnl`	Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions. CoRR Shuang Li, Yilun Du, Antonio Torralba, Josef Sivic, Bryan C. Russell
2020	J	`jnl`	Compositional Visual Generation and Inference with Energy Based Models. CoRR Yilun Du, Shuang Li, Igor Mordatch
2020	A*	`conf`	Compositional Visual Generation with Energy Based Models. NeurIPS Yilun Du, Shuang Li, Igor Mordatch
2020	J	`jnl`	Energy-Based Models for Continual Learning. CoRR Shuang Li, Yilun Du, Gido M. van de Ven, Antonio Torralba, Igor Mordatch
2020	J	`jnl`	Improved Contrastive Divergence Training of Energy Based Models. CoRR Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch
2020	J	`jnl`	Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. CoRR Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba
2018	A*	`conf`	Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-Identification. CVPR Shuang Li, Slawomir Bak, Peter Carr, Xiaogang Wang
2018	J	`jnl`	Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification. CoRR Shuang Li, Slawomir Bak, Peter Carr, Xiaogang Wang
2018	—	`conf`	Question-Guided Hybrid Convolution for Visual Question Answering. ECCV (1) Peng Gao, Hongsheng Li, Shuang Li, Pan Lu, Yikang Li, Steven C. H. Hoi, Xiaogang Wang
2018	J	`jnl`	Question-Guided Hybrid Convolution for Visual Question Answering. CoRR Peng Gao, Pan Lu, Hongsheng Li, Shuang Li, Yikang Li, Steven C. H. Hoi, Xiaogang Wang
2017	A*	`conf`	Identity-Aware Textual-Visual Matching with Latent Co-attention. ICCV Shuang Li, Tong Xiao, Hongsheng Li, Wei Yang, Xiaogang Wang
2017	J	`jnl`	Identity-Aware Textual-Visual Matching with Latent Co-attention. CoRR Shuang Li, Tong Xiao, Hongsheng Li, Wei Yang, Xiaogang Wang
2017	A*	`conf`	Joint Detection and Identification Feature Learning for Person Search. CVPR Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, Xiaogang Wang
2017	A*	`conf`	Learning Feature Pyramids for Human Pose Estimation. ICCV Wei Yang, Shuang Li, Wanli Ouyang, Hongsheng Li, Xiaogang Wang
2017	J	`jnl`	Learning Feature Pyramids for Human Pose Estimation. CoRR Wei Yang, Shuang Li, Wanli Ouyang, Hongsheng Li, Xiaogang Wang
2017	A*	`conf`	Person Search with Natural Language Description. CVPR Shuang Li, Tong Xiao, Hongsheng Li, Bolei Zhou, Dayu Yue, Xiaogang Wang
2017	J	`jnl`	Person Search with Natural Language Description. CoRR Shuang Li, Tong Xiao, Hongsheng Li, Bolei Zhou, Dayu Yue, Xiaogang Wang
2017	J	`jnl`	Statistical Evaluation of No-Reference Image Quality Assessment Metrics for Remote Sensing Images. ISPRS Int. J. Geo Inf. Shuang Li, Zewei Yang, Hongsheng Li
2016	J	`jnl`	End-to-End Deep Learning for Person Search. CoRR Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, Xiaogang Wang