#ZhaoYang
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restaurant-bot.bsky.social
澎湖三哥雞排三多店; No. 75-2號, Sanduo Rd, Zhaoyang Village, Magong City, Penghu County, Taiwan 880 https://www.google.com/maps/search/?api=1&query=23.5743394%2C119.577955&query_place_id=ChIJQa4sO_NabDQRfp0J953oP_Q
June 28, 2026 at 4:26 PM
snnln.bsky.social
Ezra Zhaoyang Berthold Liang
August 9, 2026 at 3:13 PM
sunriseverse.bsky.social
Liu Zhaoyang!
attack for artfight.net/~_rainyboy
#artfight
July 5, 2025 at 8:24 PM
cslg-bot.bsky.social
Zhaoyang Shi: Graph Memory: Spectral Associative Memory via Dirichlet Energy https://arxiv.org/abs/2609.32365 https://arxiv.org/pdf/2609.32365 https://arxiv.org/html/2609.32365
September 29, 2026 at 6:44 AM
cslg-bot.bsky.social
Zhaoyang Cao, Miriam Metzger, Reza Zafarani: Fake News Theories: Harnessing Disciplinary Insights for Computational Modeling, Detection, and Explanation https://arxiv.org/abs/2609.30427 https://arxiv.org/pdf/2609.30427 https://arxiv.org/html/2609.30427
September 28, 2026 at 6:42 AM
nyudatascience.bsky.social
Co-organized with Krishnakumar Balasubramanian (UC Davis), Rogerio Schmidt Feris (MIT-IBM Watson AI Lab), Benjamin Hoover (Georgia Tech, IBM Research), Hilde Kuehne (@hildekuehne.bsky.social), and Zhaoyang Shi (Harvard).
January 30, 2026 at 7:50 PM
sonnilione.bsky.social
EZHA (ZHAOYANG) BERTHOLD LIANG VOCÊ ARRUINA MINHA VIDA TODO DIA .KILL
July 29, 2025 at 6:13 AM
si-cv-graphics.bsky.social
𝗛𝗼𝘄 𝗠𝘂𝗰𝗵 𝟯𝗗 𝗗𝗼 𝗩𝗶𝗱𝗲𝗼 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀 𝗘𝗻𝗰𝗼𝗱𝗲?
Zixuan Huang, Xiang Li, Zhaoyang Lv, James M. Rehg
arxiv.org/abs/2512.19949
Trending on www.scholar-inbox.com
December 25, 2025 at 7:00 AM
ucsfimaging.bsky.social
We're excited to welcome Dr. Zhaoyang Fan as Professor In Residence and leader of the Vascular & Cardiac Imaging Research Group. His work spans MR imaging, machine learning & cardiovascular disease. Learn
UCSF Welcomes Zhaoyang Fan, PhD | Radiology
Dr. Fan will lead the Vascular & Cardiac Imaging Research Group
radiology.ucsf.edu
May 15, 2026 at 4:27 PM
pmarques35.bsky.social
[1/8] Steven Siems et Zhaoyang Kong (Monash University, Melbourne) montrent que les tempêtes du sud de l’océan Austral produisent plus de pluie. En s’appuyant sur 45 ans de données issues de Macquarie Island, ils révèlent un signal régional mal capté par les modèles et aux effets globaux. #geography
Storms in the Southern Ocean are producing more rain – and the consequences could be global
The Southern Ocean is the engine room of global heat and carbon uptake – and it’s changing faster and more dramatically than we thought.
theconversation.com
December 6, 2025 at 7:03 AM
arxiv-cs-cl.bsky.social
Bohao Wang, Chenwei Wu, Hang Zou, Yu Tian, Lina Bariah, Li Wei, Chongwen Huang, Yongliang Shen, Zhaoyang Zhang, Merouane Debbah
TelecomGPT-R1: Unified Post-Training for Reasoning Across Heterogeneous Telecom Tasks
https://arxiv.org/abs/2609.25356
September 25, 2026 at 8:37 AM
ericzzj.bsky.social
GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

Weikang Bian, Zhaoyang Huang, Xiaoyu Shi, Yijin Li, Fu-Yun Wang, Hongsheng Li

tl;dr: dense 3D point-tracking->pseudo 4DGS field->pretrained Video DiT

arxiv.org/abs/2501.02690
January 7, 2025 at 4:31 AM
snnln.bsky.social
Ezha Zhaoyang Berthold Liang
September 9, 2026 at 11:18 AM
snnln.bsky.social
Zhaoyang.
August 12, 2026 at 6:11 AM
quantum-magazine.bsky.social
Prof Ariando (middle) with Dr Stephen Lin Er Chow (extreme right) and Zhaoyang Luo (extreme left) were part of the research team that designed the new copper-free superconducting material.
#Copper
#Superconductors
Physicists discover a copper-free high-temperature superconducting oxide
Professor Ariando and Dr. Stephen Lin Er Chow from the National University of Singapore (NUS) Department of Physics have designed and synthesized a groundbreaking new material—a copper-free supercondu...
phys.org
March 30, 2025 at 12:41 AM
blufly.media
« Wind Tunnel Experimental Study on the Flight Parameters of a Bio-Inspired Bat-like Flapping-Wing Robot » by Bosong Duan, Junlei Liu, Shuai Wang, Zhaoyang Chen and Bingfeng Ju for Zhejiang University on July 8, 2025 via @mdpiopenaccess.bsky.social‬. | 🛩️ 🏫 🦅 📡 ⚡️ 🥇 | 🔗 www.mdpi.com/3394180/?utm...
A montage of twelve images from the academic paper 'Wind Tunnel Experimental Study on the Flight Parameters of a Bio-Inspired Bat-like Flapping-Wing Robot' published July 8, 2025. The images, for the most part, consist of line drawings, photographs, and renderings from the paper. These images are montaged over a washed-out image of the wind tunnel where the experiments were conducted. (📸 Bosong Duan, Junlei Liu, Shuai Wang, Zhaoyang Chen, and Bingfeng Ju for Zhejiang University)
August 4, 2025 at 11:39 PM
mmcarthur.bsky.social
Wang Yinxian (1943-2018) & Zhang Shouzhi (b.1932) :
Flowing Teapot (Quo Pot), n.d.

8¼ in. | 20.9 cm. across

Further info in the alt text 👇
With a very compressed, curved body and an integral loop handle issuing from the back of the teapot and and across the body to join the front of the mouth rim. Wang Yinxian (1943–2018), a female artist, alias “Zhaoyang,” was born and raised in Yixing, Jiangsu province. Wang started her career in the Yixing Purple Clay Factory in 1956. She began to study and practice Yixing pottery at the age of 14, and produced teapots with both traditional and innovative designs throughout her career. She was awarded one of the country’s highest artistic titles, “China Arts and Crafts Master Wang studied with renowned masters such as Wu Yungeng, Zhu Kexin, Pei Shimin, Jiang Rong (maker of lot 15 in the present sale) and Gu Jingzhou. She epitomized the strengths of several artistic schools and was known for her huahuo (花貨, naturalistic ware), but also exceled in making classic forms. Wang collaborated with Zhang Shouzhi, Professor of the Department of Ceramic Art, Central Academy of Arts and Crafts, Beijing, to create this teapot with abstract, curved outlines inspired by the form and movement of snails. Various examples of this teapot design have been widely exhibited and published.
November 27, 2025 at 2:32 AM
ericzzj.bsky.social
4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos

Zhen Xu, Zhengqin Li, Zhao Dong, Xiaowei Zhou, Richard Newcombe, Zhaoyang Lv

tl;dr: transformer-based; varying lifespans; pixel density control; level-of-detail

arxiv.org/abs/2506.08015
June 10, 2025 at 7:08 PM
radiologyusc.bsky.social
Zhaoyang Fan, PhD was awarded a $125K grant from the Robert E. and May R. Wright Foundation, and the @keckschoolusc.bsky.social for his research, Multiparametic Dynamic Contrast Imaging of Glioblastoma for Early Prediction of 6-Month Outcomes and Accurate Diagnosis of Progression.
July 24, 2025 at 8:38 PM
jgp.org
Ctenophores and parahoxozoans independently evolved functionally diverse voltage-gated K⁺ channels, say Benjamin Simonson, Zhaoyang Jiang, Joseph Ryan, and Timothy Jegla: rupress.org/jgp/article/...

#Biophysics #ComputationalBiology #Evolution #IonChannels
March 25, 2025 at 2:13 PM
si-cv-graphics.bsky.social
𝗚𝗦-𝗗𝗶𝗧: 𝗔𝗱𝘃𝗮𝗻𝗰𝗶𝗻𝗴 𝗩𝗶𝗱𝗲𝗼 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝟯𝗗 𝗚𝗮𝘂𝘀𝘀𝗶𝗮𝗻 𝗙𝗶𝗲𝗹𝗱𝘀 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗗𝗲𝗻𝘀𝗲 𝟯𝗗 𝗣𝗼𝗶𝗻𝘁 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴
Weikang Bian , Zhaoyang Huang , Xiaoyu Shi ... Hongsheng Li
view pdf here
Trending on www.scholar-inbox.com
June 6, 2025 at 6:00 AM
echinoblog.bsky.social
wow. A lovely red Bipalium from Malaysia! quite an obscure locality! #wormwednesday www.inaturalist.org/observations...
Bipalium choristosperma
Bipalium choristosperma from 马来西亚沙巴昆達山 on June 4, 2024 at 06:03 PM by zhaoyang Tang
www.inaturalist.org
March 4, 2026 at 3:14 PM
valera.moe
Yessss I fucking love the Zhaoyang opening, it's such a weird, moody intro.
April 12, 2025 at 7:38 PM
dppapers.bsky.social
An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis

Ming Wang, Zhaoyang Duan, Dong Xue, Fangzhou Liu, Zhongheng Zhang

http://arxiv.org/abs/2507.08050
An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis Ming Wang, Zhaoyang Duan, Dong Xue, Fangzhou Liu, Zhongheng Zhang http://arxiv.org/abs/2507.08050 The labor-intensive nature of medical data annotation presents a significant challenge for respiratory disease diagnosis, resulting in a scarcity of high-quality labeled datasets in resource-constrained settings. Moreover, patient privacy concerns complicate the direct sharing of local medical data across institutions, and existing centralized data-driven approaches, which rely on amounts of available data, often compromise data privacy. This study proposes a federated few-shot learning framework with privacy-preserving mechanisms to address the issues of limited labeled data and privacy protection in diagnosing respiratory diseases. In particular, a meta-stochastic gradient descent algorithm is proposed to mitigate the overfitting problem that arises from insufficient data when employing traditional gradient descent methods for neural network training. Furthermore, to ensure data privacy against gradient leakage, differential privacy noise from a standard Gaussian distribution is integrated into the gradients during the training of private models with local data, thereby preventing the reconstruction of medical images. Given the impracticality of centralizing respiratory disease data dispersed across various medical institutions, a weighted average algorithm is employed to aggregate local diagnostic models from different clients, enhancing the adaptability of a model across diverse scenarios. Experimental results show that the proposed method yields compelling results with the implementation of differential privacy, while effectively diagnosing respiratory diseases using data from different structures, categories, and distributions.
July 14, 2025 at 3:48 AM
dppapers.bsky.social
Privacy Guarantee for Nash Equilibrium Computation of Aggregative Games Based on Pointwise Maximal Leakage

Zhaoyang Cheng, Guanpu Chen, Tobias J. Oechtering, Mikael Skoglund

http://arxiv.org/abs/2510.21668
Privacy Guarantee for Nash Equilibrium Computation of Aggregative Games Based on Pointwise Maximal Leakage Zhaoyang Cheng, Guanpu Chen, Tobias J. Oechtering, Mikael Skoglund http://arxiv.org/abs/2510.21668 Privacy preservation has served as a key metric in designing Nash equilibrium (NE) computation algorithms. Although differential privacy (DP) has been widely employed for privacy guarantees, it does not exploit prior distributional knowledge of datasets and is ineffective in assessing information leakage for correlated datasets. To address these concerns, we establish a pointwise maximal leakage (PML) framework when computing NE in aggregative games. By incorporating prior knowledge of players' cost function datasets, we obtain a precise and computable upper bound of privacy leakage with PML guarantees. In the entire view, we show PML refines DP by offering a tighter privacy guarantee, enabling flexibility in designing NE computation. Also, in the individual view, we reveal that the lower bound of PML can exceed the upper bound of DP by constructing specific correlated datasets. The results emphasize that PML is a more proper privacy measure than DP since the latter fails to adequately capture privacy leakage in correlated datasets. Moreover, we conduct experiments with adversaries who attempt to infer players' private information to illustrate the effectiveness of our framework.
October 27, 2025 at 3:53 AM