Manli Shu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
7
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | LATTE: Learning to Think with Vision Specialists. | Zixian Ma, Jianguo Zhang, Zhiwei Liu, Jieyu Zhang, Juntao Tan, Manli Shu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Caiming Xiong, Ranjay Krishna, Silvio Savarese |
| 2025 | ICCV | BLIP-3: A Family of Open Large Multimodal Models. | Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Shao-Yen Tseng, Gustavo A. Lujan-Moreno, Matthew L. Olson, Musashi Hinck, David Cobbley, Vasudev Lal, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu |
| 2024 | ECCV | xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. | Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong |
| 2024 | ICLR | On the Reliability of Watermarks for Large Language Models. | John Kirchenbauer, Jonas Geiping, Yuxin Wen, Manli Shu, Khalid Saifullah, Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, Tom Goldstein |
| 2024 | ICRA | Hierarchical Point Attention for Indoor 3D Object Detection. | Manli Shu, Le Xue, Ning Yu, Roberto Martn-Martn, Caiming Xiong, Tom Goldstein, Juan Carlos Niebles, Ran Xu |
| 2024 | SC | Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers. | Siddharth Singh, Prajwal Singhania, Aditya K. Ranjan, John Kirchenbauer, Jonas Geiping, Yuxin Wen, Neel Jain, Abhimanyu Hans, Manli Shu, Aditya Tomar, Tom Goldstein, Abhinav Bhatele |
| 2022 | ICLR | The Close Relationship Between Contrastive Learning and Meta-Learning. | Renkun Ni, Manli Shu, Hossein Souri, Micah Goldblum, Tom Goldstein |
| 2021 | ICRA | Adversarial Differentiable Data Augmentation for Autonomous Systems. | Manli Shu, Yu Shen, Ming C. Lin, Tom Goldstein |
| 2020 | ICASSP | Headless Horseman: Adversarial Attacks on Transfer Learning Models. | Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu |