Zobrazeno 1 - 10
of 219
pro vyhledávání: '"Li Kunyang"'
Autor:
Vayani, Ashmal, Dissanayake, Dinura, Watawana, Hasindri, Ahsan, Noor, Sasikumar, Nevasini, Thawakar, Omkar, Ademtew, Henok Biadglign, Hmaiti, Yahya, Kumar, Amandeep, Kuckreja, Kartik, Maslych, Mykola, Ghallabi, Wafa Al, Mihaylov, Mihail, Qin, Chao, Shaker, Abdelrahman M, Zhang, Mike, Ihsani, Mahardika Krisna, Esplana, Amiel, Gokani, Monil, Mirkin, Shachar, Singh, Harsh, Srivastava, Ashay, Hamerlik, Endre, Izzati, Fathinah Asma, Maani, Fadillah Adamsyah, Cavada, Sebastian, Chim, Jenny, Gupta, Rohit, Manjunath, Sanjay, Zhumakhanova, Kamila, Rabevohitra, Feno Heriniaina, Amirudin, Azril, Ridzuan, Muhammad, Kareem, Daniya, More, Ketan, Li, Kunyang, Shakya, Pramesh, Saad, Muhammad, Ghasemaghaei, Amirpouya, Djanibekov, Amirbek, Azizov, Dilshod, Jankovic, Branislava, Bhatia, Naman, Cabrera, Alvaro, Obando-Ceron, Johan, Otieno, Olympiah, Farestam, Fabian, Rabbani, Muztoba, Baliah, Sanoojan, Sanjeev, Santosh, Shtanchaev, Abduragim, Fatima, Maheen, Nguyen, Thao, Kareem, Amrin, Aremu, Toluwani, Xavier, Nathan, Bhatkal, Amit, Toyin, Hawau, Chadha, Aman, Cholakkal, Hisham, Anwer, Rao Muhammad, Felsberg, Michael, Laaksonen, Jorma, Solorio, Thamar, Choudhury, Monojit, Laptev, Ivan, Shah, Mubarak, Khan, Salman, Khan, Fahad
Existing Large Multimodal Models (LMMs) generally focus on only a few regions and languages. As LMMs continue to improve, it is increasingly important to ensure they understand cultural contexts, respect local sensitivities, and support low-resource
Externí odkaz:
http://arxiv.org/abs/2411.16508
The detection of gravitational waves (GWs) from massive black hole binary (MBHB) coalescence motivates the development of a sub-grid model. We present RAMCOAL, integrated into the RAMSES code, which simulates the orbital evolution of MBHBs, accountin
Externí odkaz:
http://arxiv.org/abs/2410.07856
Autor:
King, Rachel, Burke, Quinn, Beugin, Yohan, Hoak, Blaine, Li, Kunyang, Pauley, Eric, Sheatsley, Ryan, McDaniel, Patrick
The Tor anonymity network allows users such as political activists and those under repressive governments to protect their privacy when communicating over the internet. At the same time, Tor has been demonstrated to be vulnerable to several classes o
Externí odkaz:
http://arxiv.org/abs/2408.14646
Today, the security of many domains rely on the use of Machine Learning to detect threats, identify vulnerabilities, and safeguard systems from attacks. Recently, transformer architectures have improved the state-of-the-art performance on a wide rang
Externí odkaz:
http://arxiv.org/abs/2310.11597
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
Autor:
Shi, Zhenmei, Chen, Jiefeng, Li, Kunyang, Raghuram, Jayaram, Wu, Xi, Liang, Yingyu, Jha, Somesh
Pre-training representations (a.k.a. foundation models) has recently become a prevalent learning paradigm, where one first pre-trains a representation using large-scale unlabeled data, and then learns simple predictors on top of the representation us
Externí odkaz:
http://arxiv.org/abs/2303.00106
Autor:
Sawant, Sailee M., Kosak, Katie, Li, Kunyang, Avachat, Sayali S., Perlman, Eric S., Mitra, Debasis
We present a three-dimensional (3-D) visualization of jet geometry using numerical methods based on a Markov Chain Monte Carlo (MCMC) and limited memory Broyden-Fletcher-Goldfarb-Shanno (BFGS) optimized algorithm. Our aim is to visualize the 3-D geom
Externí odkaz:
http://arxiv.org/abs/2210.03033
Autor:
Du, Kun a, b, c, d, Li, Kunyang a, Wang, Haichao a, Liu, Cunliang a, b, c, ⁎, Sunden, Bengt e, ⁎⁎
Publikováno v:
In International Journal of Heat and Mass Transfer January 2025 236 Part 1
Dual active galaxy nuclei (dAGNs) trace the population of post-merger galaxies and are the precursors to massive black hole (MBH) mergers, an important source of gravitational waves that may be observed by LISA. In Paper I of this series, we used the
Externí odkaz:
http://arxiv.org/abs/2207.14231
Publikováno v:
In Future Generation Computer Systems December 2024 161:162-173
Autor:
Li, Kunyang1 (AUTHOR) 18340365616@163.com, Li, Jing1 (AUTHOR), Luo, Fengying1 (AUTHOR), Yu, Yuhua1 (AUTHOR), Yang, Yepeng1 (AUTHOR), Li, Yizhou1 (AUTHOR) zh111111ou@kmu.edu.cn
Publikováno v:
Molecules. Sep2024, Vol. 29 Issue 17, p4164. 17p.