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Yongyi Zang Profile
Yongyi Zang

@yongyi_zang

Followers
132
Following
18
Statuses
29

Research Scientist @ Smule. Most works are done as an independent researcher, opinions are my own.

Redmond, WA
Joined December 2013
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@yongyi_zang
Yongyi Zang
3 days
Okay, so if the lightning to HDMI adapter can accept at maximum a 256 MB runtime with 400 MHz clock, this is actually good for a bunch of neural codecs and speech enhancement stuff right?
@nyan_satan
john
6 years
Haywire itself doesn’t store any firmware (well, except for SecureROM), so iOS has to upload it every time. Firmware bundle for it is very tiny, around 25MB uncompressed. Shipped as preinstalled asset with iOS and/or can be downloaded. That’s how its folder structure looks like:
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@yongyi_zang
Yongyi Zang
16 days
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@yongyi_zang
Yongyi Zang
16 days
RT @RuiboLiu: my mum tried DeepSeek and told me she loved it because it could generate beautiful literature-level Chinese. she has zero i…
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@yongyi_zang
Yongyi Zang
16 days
Glad to have contributed to such an ambitious project. Happy lunar new year! (Possibly) some follow up works to come (soon?)
@abc43992899
Ruibin Yuan
17 days
1/n: 🚀 Announcing YuE (乐) – the most powerful open-source full-song music generation model! 🎵 Tackle the lyrics-to-song task (like with support for diverse genres, stunning vocals, & multiple languages. Bonus? It’s Hugging Face & LLAMA-compatible for easy fine-tuning. 🛠️ Code: Demo:
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@yongyi_zang
Yongyi Zang
2 months
It's ICASSP season again and I have one collab work with @DichuchengLi and @QiuqiangK on Piano Transcription! We found that using a pre-trained frame-wise encoder trained and separate decoding stages for onset, offset and velocity helps significantly with performance. #ICASSP2025
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@yongyi_zang
Yongyi Zang
2 months
🤯
@AnthropicAI
Anthropic
2 months
New Anthropic research: Alignment faking in large language models. In a series of experiments with Redwood Research, we found that Claude often pretends to have different views during training, while actually maintaining its original preferences.
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@yongyi_zang
Yongyi Zang
2 months
RT @YapengTian: Very offensive! After seeing her apology, I’m not convinced it was sincere. I’m also extremely sad that the conference itse…
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@yongyi_zang
Yongyi Zang
2 months
RT @xiaolonw: Very sad to see this. Just reminds me some random dude in the bay drove by and shouted to me “go back to your own country”. R…
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@yongyi_zang
Yongyi Zang
2 months
RT @ZhiyuChen4: I'm shocked to see racism happening in academia again, at the best AI conference @NeurIPSConf. Targeting specific ethnic gr…
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@yongyi_zang
Yongyi Zang
2 months
RT @hendrydong: It may be necessary to align human behavior with AI feedback. #NeurIPS2024
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@yongyi_zang
Yongyi Zang
2 months
RT @sunjiao123sun_: Mitigating racial bias from LLMs is a lot easier than removing it from humans! Can’t believe this happened at the bes…
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@yongyi_zang
Yongyi Zang
2 months
@jordandarefsky 🤡🤡🤡🤡
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@yongyi_zang
Yongyi Zang
3 months
RT @Yixiao_Zhang_: We have a paper - it discusses the interpretation gap between human and music generation models. @yongyi_zang will prese…
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@yongyi_zang
Yongyi Zang
5 months
😅
@Li_Yuan_Chao
Yuanchao Li
5 months
#icassp2025 new template is a mess. The default font of latex template is 10pt yet 9pt is acceptable. @ieeeICASSP also allows the author sec similar to past years. This means, 9pt+old author sec can give a whole extra page compared to 10pt+new author sec if there are many authors
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@yongyi_zang
Yongyi Zang
6 months
RT @jiatongshi: 🎉 Excited to announce that the SVDD2024 challenge is now online! 🚀 Check out the details here: W…
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@yongyi_zang
Yongyi Zang
6 months
The WildSVDD track will be part of the MIREX Challenge this year ( with the amazing @yzyouzhang and @Yixiao_Zhang_ as task captions. If you’re interested, stay tuned for more details! (2/2)
@yongyi_zang
Yongyi Zang
6 months
Singing Voice Deepfake Detection (SVDD) challenge summary paper is out: Thanks to all 47 participating teams! We have a lowest EER of 1.65%, while generalization to an unseen commercial set remains challenging (almost all teams at ~50%). (1/2)
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@yongyi_zang
Yongyi Zang
6 months
Singing Voice Deepfake Detection (SVDD) challenge summary paper is out: Thanks to all 47 participating teams! We have a lowest EER of 1.65%, while generalization to an unseen commercial set remains challenging (almost all teams at ~50%). (1/2)
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@yongyi_zang
Yongyi Zang
6 months
RT @nicolaus625: 📢📢Glad to share our latest survey on Foundation Models for Music! 🎶For both computer music researchers and ML researchers:…
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@yongyi_zang
Yongyi Zang
7 months
RT @sahar_abdelnabi: NeurIPS reviewer: solution is not new and was heavily studied. @NeurIPSConf #NeurIPS24
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@yongyi_zang
Yongyi Zang
7 months
RT @jxmnop: if you have language model weights on your computer, you also are in possession of powerful compression software just put the…
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