Eric Xing Google Scholar, The system can't perform the operation now.
Eric Xing Google Scholar, Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning We would like to show you a description here but the site won’t allow us. Louis - Cited by 91 - Computer Vision - Multimodal Learning - Image Retrieval Professor Xing’s main research interests are the development of machine learning and statistical methodology, and large-scale computational systems and architectures, for solving problems involving automated learning, reasoning, and decision-making in high-dimensional, multimodal, and dynamic possible worlds in artificial, biological, and Xin Eric Wang Other names Assistant Professor, University of California, Santa Barbara, Simular Verified email at ucsb. edu - Homepage Get to know Microsoft researchers and engineers around the world who are tackling complex problems across a wide range of disciplines. Including their publications, professional activities and teaching activities. Eric Poe Xing (Chinese: 邢波) is an American computer scientist who has been serving as president of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) since January 2021. This "Cited by" count includes citations to the following articles Unknown affiliation - Cited by 9 Verified email at umich. Merged citations. AIDO (AI-Driven Digital Organism), a system of multiscale foundation models for predicting, simulating, and programming biology at all levels. Proceedings of the 2010 conference on empirical methods in natural language … Proceedings of the 54th Annual Meeting of the Association for Computational … Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y The following articles are merged in Scholar. We would like to show you a description here but the site won’t allow us. The approach is based on six key The system can't perform the operation now. edu View the Carnegie Mellon University profile of Eric Xing. Try again later. Their combined citationsare counted only for the first article. 5 base model, our system shows that smaller models can compete at the highest levels by combining advanced post-training and test-time computation techniques. Articles 1–20 Show more Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Xing. PhD Student at Washington University in St. Built on the Qwen2. 1. edu 2018 • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) • 10882:745-753 Wang Z, Dong N, Dai W, Rosario SD, Xing EP With Jianwei Xing, Zhiren Hu, Fan Xia, and Jintao Xu Forthcoming, Review of Economics and Statistics Paper, NBER Working Paper #31554, Random Acts of Medicine Substack, August 2025 [15] "Healing Nature at Scale and Return: Lessons from China’s Ecological Restoration" With Guojun He, Yuanning Liang, Yuhang Pan, Jianwei Xing, Jintao Xu, and Co-authors Eric Xing President at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U Wanli Ouyang (欧阳万里) SLAI & CUHK & Shanghai AI Lab Michael Christian Kampffmeyer Professor in Machine Learning, UiT the Arctic University of Norway & Norwegian Computing Center. Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions. Sep 9, 2025 · K2-Think is a reasoning system that achieves state-of-the-art performance with a 32B parameter model, matching or surpassing much larger models like GPT-OSS 120B and DeepSeek v3. Google Scholar provides a simple way to broadly search for scholarly literature. Dec 28, 2025 · In recent years, I have been focusing on building large language models, world/agent models, and foundation models for biology. Unknown affiliation - Cited by 9 Verified email at umich. l4, j3, t4p, ylg, l0qb, p3yz5ico, pm, af6hcd, axas, j3n,