<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
		>

<channel>
	<title>UniResearch Community | Ping Zheng | Favorites</title>
	<link>https://community.uniresearch.ai/members/pingzheng/activity/favorites/</link>
	<atom:link href="https://community.uniresearch.ai/members/pingzheng/activity/favorites/feed/" rel="self" type="application/rss+xml" />
	<description>Activity feed of Ping Zheng's saved posts.</description>
	<lastBuildDate>Fri, 11 Sep 2026 11:08:05 +0800</lastBuildDate>
	<generator>https://buddypress.org/?v=3.4.4</generator>
	<language>en-US</language>
	<ttl>30</ttl>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>2</sy:updateFrequency>
		
								<item>
				<guid isPermaLink="false">a52c2f2bc964772362ec73a637846b90</guid>
				<title>Madelyn posted an update: Method Help
Many researchers only organise data after [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/961/</link>
				<pubDate>Mon, 07 Sep 2026 12:25:56 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Method Help</strong></p>
<p>Many researchers only organise data after paper acceptance. Poor archival practice creates reproducibility risks. What is your step‑by‑step routine to archive raw and intermediate data while the project is ongoing?</p>
]]></content:encoded>
				
									<slash:comments>4</slash:comments>
				
							</item>
					<item>
				<guid isPermaLink="false">196fbdcfe1be301b18acd7c4f9956fa3</guid>
				<title>Adam Evans posted an update: Resource Share
Clean metadata is critical [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/942/</link>
				<pubDate>Mon, 07 Sep 2026 07:10:31 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Resource Share</strong></p>
<p>Clean metadata is critical for reproducibility, yet manually organising metadata is extremely time‑consuming. Are there lesser‑known lightweight open utilities you rely on for dataset metadata standardisation?</p>
]]></content:encoded>
				
									<slash:comments>2</slash:comments>
				
							</item>
					<item>
				<guid isPermaLink="false">65e6da42411a76ed6656a74ac675027f</guid>
				<title>Min Pan posted an update: Full‑text reading for every paper is impossible when [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/832/</link>
				<pubDate>Wed, 02 Sep 2026 01:13:15 +0800</pubDate>

									<content:encoded><![CDATA[<p>Full‑text reading for every paper is impossible when writing a thesis. Learn to skim abstracts, conclusions and key figures first, then dive into full‑text for high‑relevance resources.</p>
]]></content:encoded>
				
									<slash:comments>4</slash:comments>
				
							</item>
					<item>
				<guid isPermaLink="false">1469c0ac79abed03929fc2e8aa17e04b</guid>
				<title>Feng Song posted an update: Research Experience Sharing

Digital or physical [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/807/</link>
				<pubDate>Tue, 01 Sep 2026 09:48:31 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Research Experience Sharing</strong></p>
<p>Digital or physical lab notebooks are your core research asset. Record raw data, parameter settings and unexpected anomalies in real‑time instead of recalling information days later.</p>
]]></content:encoded>
				
									<slash:comments>3</slash:comments>
				
							</item>
					<item>
				<guid isPermaLink="false">a521082502b839c422c7c966de210155</guid>
				<title>Ping Lu posted an update: Finding good public datasets for method validation takes [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/608/</link>
				<pubDate>Tue, 25 Aug 2026 09:43:34 +0800</pubDate>

									<content:encoded><![CDATA[<p>Finding good public datasets for method validation takes a lot of digging. What are your go‑to high‑quality open datasets for general‑purpose method benchmarking in your field?</p>
]]></content:encoded>
				
									<slash:comments>4</slash:comments>
				
							</item>
					<item>
				<guid isPermaLink="false">5aa1e9205e4b0f53bef58d2bb7bb5cae</guid>
				<title>Mark Taylor posted an update: Data collection is the foundation of all empirical [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/455/</link>
				<pubDate>Thu, 20 Aug 2026 14:22:25 +0800</pubDate>

									<content:encoded><![CDATA[<p>Data collection is the foundation of all empirical and computational research. However, many researchers waste months on invalid data screening, low‑quality data cleaning and inconsistent data standards. What efficient data collection and filtering workflows do you adopt to accelerate your research progress?</p>
]]></content:encoded>
				
									<slash:comments>3</slash:comments>
				
							</item>
					<item>
				<guid isPermaLink="false">78c7cf05ef009730b43eb5a8be9e59e7</guid>
				<title>Xiulan Jiang posted an update: Experimental reproducibility is the basic principle [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/454/</link>
				<pubDate>Thu, 20 Aug 2026 14:22:19 +0800</pubDate>

									<content:encoded><![CDATA[<p>Experimental reproducibility is the basic principle of academic research, but many published papers have unrepeatable experimental results due to incomplete parameter records and hidden operation details. How can we strictly guarantee research reproducibility in daily experiments?</p>
]]></content:encoded>
				
									<slash:comments>3</slash:comments>
				
							</item>
					<item>
				<guid isPermaLink="false">bd573e3eb57abaec8567f77b45c7a995</guid>
				<title>Edward Harris posted an update: Most cutting‑edge NLP models are built for high‑resource [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/419/</link>
				<pubDate>Thu, 20 Aug 2026 10:19:06 +0800</pubDate>

									<content:encoded><![CDATA[<p>Most cutting‑edge NLP models are built for high‑resource languages. Even with translation‑based approaches, subtle cultural and linguistic nuance gets lost. What promising directions do you see for advancing low‑resource language research without massive annotated corpora?</p>
]]></content:encoded>
				
									<slash:comments>3</slash:comments>
				
							</item>
		
	</channel>
</rss>
		