Publication Predictability of identifier naming with Copilot: A case study for mixed-initiative programming tools Michael Jing Long Lee, Advait Sarkar, Alan F. Blackwell Proceedings of the 35th Annual Conference of the Psychology of Programming Interest Group (PPIG 2024) | October 2024 Project Project
Publication Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu 2024 Neural Information Processing Systems | October 2024
Publication Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity Philip Amortila, Dylan Foster, Nan Jiang, Akshay Krishnamurthy, Zakaria Mhammedi NeurIPS 2024 | October 2024
Publication IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI Xiaoyu Chen, Junliang Guo, Tianyu He, Chuheng Zhang, Pushi Zhang, Derek Yang, Li Zhao, Jiang Bian October 2024 Project
Publication What can Foundation Models’ Embeddings do? Linjie Li, Jianwei Yang, Lijuan Wang October 2024
Publication DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs Lingchen Meng, Jianwei Yang, Rui Tian, Xiyang Dai, Zuxuan Wu, Jianfeng Gao, Yu-Gang Jiang 2024 Neural Information Processing Systems | October 2024
Publication MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud Brian Kroth, Sergiy Matusevych, Rana Alotaibi, Yiwen Zhu, Anja Gruenheid, Yuanyuan Tian Proc. VLDB Endow. | October 2024, Vol 17: pp. 4269-4272
Publication COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang CIKM’24 | October 2024