#cheng xiao users

[seoulicons]

xi98ao xiaosvie xiaovhs xiaosvlog wjscheng chengsfav is2cheng chengsbf

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[xinyuehui]

Pei-daren, you're here!!

大梦归离 · Fangs of Fortune · 2024

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[sprinnklesstuff]

͏͏͏

⠀⠀⠀⠀ WJSN (Cosmic Girls) users. 🪐✨

⠀⠀⠀⠀ ﹫xiaonatic ﹫danonne-dawon ﹫withseola

⠀⠀⠀⠀ ﹫luluuda ﹫meiqimehappy

͏͏͏

[brokenmachinemusings]

hi tumblr you get to hear my insane sgdlr ramblings theories whatever about mr vein which mifht be wrong but I DOTN CARE

LINK CLICK SPOILERS . OBVIOUSLY!!!!

ok sooooo first i connected the dots with cheng xiaoshi and vein bc they had the same shadow that dropped from the top left in the anniversary pv’s. most people reacted with “you didn’t connect shit”, but i’m telling you, i connected the dots.

what caught my eye on the shadow thing is that vein’s shadow didn’f have the same circular borders as liu xiao and xia fei who were obviously meant to be the same style. so they deliberately kept it at just the top left (to cover him up also). and did i mention cheng xiaoshi looks like he is trapped behind glass in the anniversary artwork? no i didn’t. i personally think all of the anniversary artworks are supposed to represent a special part of each character (qiao ling stepping out. you know).

i have not fully analysed vein’s outfit design because frankly i’m not sure what else to search up but. i’ll talk about the parts i did find

so. first of all the pattern on his shoulders looks like blood. isn’t rhat fun!

second of all the little knots around his design, i’m pretty sure are ‘round brocade knots’ which represent “balance, completeness, good fortune”. i haven’t made exact ties between that and vein myself yet but it’s worth noting it.

i didn’t find out anything else about his design. the necklace is cut off just perfectly to not be able to see what it is (like liu xiao’s)

anyway. i’m just gonna jump to my theory. i think he is connected to either cheng xiaoshi or the disappearance of his parents!!!! wow. it might sound unlikely i am aware but this is what theories are for.

the biggest reason i came up with this is because we don’t need a new villain. we don’t need to be introduced to someone new when we already have liu xiao. but you know what liu xiao wouldn’t do? GET HIS HANDS DIRTY. at least, most likely, he strikes me as the type to work behind the scenes.

so what other reason would there be to introduce vein? “you could make the same argument for xia fei” well yeah but xia fei is a pushing force in how cheng xiaoshi and lu guang discovered their powers (probably. idk)

okkkk back to vein and cheng xiaoshi’s parents actually. why i think it’s likely they’re either missing because of vein or, if they’re dead, their bodies got disposed of for some reason? it’s because if they were caught in the earthquake THEIR BODIES WOULD BE FOUND BY NOW. at least that’s what makes sense to me lore wise. and i don’t think they would just ghost their child for like 12 years. and because from narrative storytellijg it would make sense if vein was the one that did something. (let me redirect you to pattern that looks like blood on his shoulders)

of course this could all be a red herring but the last time i said something was a red herring it turned out to be true. so i choose to stick to it this time!

the other possibility (or actually, both possibilities could ring true) is that vein was the one who shot cxs. who else would? (feel free to debate lol) i don’t think xia fei would have interest in that after the whole overseas trip business, liu xiao wouldn’t want to do it himself (he’d make someone else do it) and li tianchen is an option but we don’t know if he will be the one to do it in the end. so

i don’t have a good way to end this weird theory bit. if i think of something else i will add it. it has been plaguing at my mind. thank you tumblr user for reading my weird theory rambling and feel free to debate me. if i tjink of anything else myself i will edit and add it

[aseriesofunfortunatejan]

Using my Dreamtonics tiermaker, I made a visual example of how popular the DT voicebanks are sales-wise.

Dreamtonics International Store

(Excluded: Mai, Yi Xi, Ling Wan, Saki Std)

DLSite

(Excluded: Weina, Cheng Xiao, Wei Shu)

AHS not included because I'm a law abiding citiz- just kidding, it's not illegal. I just don't know how to. Same with Taobao. It would be cool if someone else could make a list like this for Taobao!

We're really challenging the status-quo with that Riku in first place, huh... Honestly, a lot more people need to realise that "erm I only know the alphabet soup that matter, such as [exclusively English voicebanks except mysteriously Ritchy]" is a lot more mistaken than they think. It's a known fact that English-native voicebanks sell better and garner more popularity even among the vocal synth community.

(I still don't get it but it is what it is. DL Site has some Chinese voicebanks at the forefront, but I wouldn't be surprised if there's a similar bias among Japanese users. Like... Ryo having more original songs than Kevin according to VocaDB.)

[miyamiwu]

OKay, so what if… What if the reason why CXS was in Liu Lan’s body in the end was simply because Liu Lan had also taken the photo.

It was a timed camera. Not the first instance a timed camera is used in this show, but in all previous times (in season 1), CXS had always entered as the one who initiated the photo.

So what if… Xiao Xi was the one who asked for a photo (out of a child’s curiosity, perhaps), but since she doesn’t know how to use the camera, she asked her mom to set it up? So technically, both of them had initiated the photo.

What’s odd, then, is not why CXS become Liu Lan, but why he was kicked out.

And I think this is definitely because another ability user had appeared/started using their abilities.

The same thing happened in the S1 end, when CXS was kicked out of the surveillance video of Emma. Back then, Red-eyes had appeared.

And with S2E7, we can practically confirm that there is a way for ability-users to interfere with another’s abilities. (Lu Guang tackling Cheng Xiaoshi made the latter snap out of mind control.)

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[kumapillow]

Some more Link Click thoughts and qs after stewing and rewatching some scenes from S2.

Is the power transfer temporary, and can it only be used once…? And it seems to be implied that one needs to be holding the dying power user for the transfer to happen (like with Qiao Ling). Is that what happened as well to Lu Guang?

There’s that scene in ep6 with the photo of Xixi and her mom. Lu Guang told Cheng Xiaoshi that if the photo is lost, ��their’ present will be lost. I guess LG knows this from firsthand experience…? Did he destroy the photo he used to dive back in time so the future he came from will less likely happen/be cut off completely? And how many times did he go back to actually find that out…? 😅 (ooh, and now CXS knows that too ohno—)

Liu Xiao and his talk about parallel universes kinda reminded me of Byakuran from KHR 😆😅 I’m actually excited to see what havoc he and Tianchen are going to do lol

Anyway, I’m looking forward to a S3, and hopefully we get more answers then (though there will probably be more questions and headshakers as usual 😅).

[drmikewatts]

IEEE Transactions on Artificial Intelligence, Volume 5, Issue 8, August 2024

1) Memory Prompt for Spatiotemporal Transformer Visual Object Tracking

Author(s): Tianyang Xu;Xiao-Jun Wu;Xuefeng Zhu;Josef Kittler

Pages: 3759 - 3764

2) A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence

Author(s): Justus Renkhoff;Ke Feng;Marc Meier-Doernberg;Alvaro Velasquez;Houbing Herbert Song

Pages: 3765 - 3779

3) A Comprehensive Survey on Graph Summarization With Graph Neural Networks

Author(s): Nasrin Shabani;Jia Wu;Amin Beheshti;Quan Z. Sheng;Jin Foo;Venus Haghighi;Ambreen Hanif;Maryam Shahabikargar

Pages: 3780 - 3800

4) A Survey on Neural Network Hardware Accelerators

Author(s): Tamador Mohaidat;Kasem Khalil

Pages: 3801 - 3822

5) Efficient Structure Slimming for Spiking Neural Networks

Author(s): Yaxin Li;Xuanye Fang;Yuyuan Gao;Dongdong Zhou;Jiangrong Shen;Jian K. Liu;Gang Pan;Qi Xu

Pages: 3823 - 3831

6) A Perceptual Computing Approach for Learning Interpretable Unsupervised Fuzzy Scoring Systems

Author(s): Prashant K. Gupta;Deepak Sharma;Javier Andreu-Perez

Pages: 3832 - 3844

7) Octant Spherical Harmonics Features for Source Localization Using Artificial Intelligence Based on Unified Learning Framework

Author(s): Priyadarshini Dwivedi;Gyanajyoti Routray;Rajesh M. Hegde

Pages: 3845 - 3857

8) Additive Noise Model Structure Learning Based on Spatial Coordinates

Author(s): Jing Yang;Ting Lu;Youjie Zhu

Pages: 3858 - 3871

9) Securing User Privacy in Cloud-Based Whiteboard Services Against Health Attribute Inference Attacks

Author(s): Abdur R. Shahid;Ahmed Imteaj

Pages: 3872 - 3885

10) Complexity-Driven Model Compression for Resource-Constrained Deep Learning on Edge

Author(s): Muhammad Zawish;Steven Davy;Lizy Abraham

Pages: 3886 - 3901

11) A Deep Learning-Based Cyber Intrusion Detection and Mitigation System for Smart Grids

Author(s): Abdulaziz Aljohani;Mohammad AlMuhaini;H. Vincent Poor;Hamed M. Binqadhi

Pages: 3902 - 3914

12) Proximal Policy Optimization With Advantage Reuse Competition

Author(s): Yuhu Cheng;Qingbang Guo;Xuesong Wang

Pages: 3915 - 3925

13) Self-Supervised Forecasting in Electronic Health Records With Attention-Free Models

Author(s): Yogesh Kumar;Alexander Ilin;Henri Salo;Sangita Kulathinal;Maarit K. Leinonen;Pekka Marttinen

Pages: 3926 - 3938

14) quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method

Author(s): Snehanshu Saha;Jyotirmoy Sarkar;Soma S. Dhavala;Preyank Mota;Santonu Sarkar

Pages: 3939 - 3950

15) An Attention Augmented Convolution-Based Tiny-Residual UNet for Road Extraction

Author(s): Parmeshwar S. Patil;Raghunath S. Holambe;Laxman M. Waghmare

Pages: 3951 - 3964

16) Encoder–Decoder Calibration for Multimodal Machine Translation

Author(s): Turghun Tayir;Lin Li;Bei Li;Jianquan Liu;Kong Aik Lee

Pages: 3965 - 3973

17) Improving Source Tracking Accuracy Through Learning-Based Estimation Methods in SH Domain: A Comparative Study

Author(s): Priyadarshini Dwivedi;Gyanajyoti Routray;Devansh Kumar Jha;Rajesh M. Hegde

Pages: 3974 - 3984

18) Optimal Inference of Hidden Markov Models Through Expert-Acquired Data

Author(s): Amirhossein Ravari;Seyede Fatemeh Ghoreishi;Mahdi Imani

Pages: 3985 - 4000

19) X-Fuzz: An Evolving and Interpretable Neuro-Fuzzy Learner for Data Streams

Author(s): Md Meftahul Ferdaus;Tanmoy Dam;Sameer Alam;Duc-Thinh Pham

Pages: 4001 - 4012

20) Focal Transfer Graph Network and Its Application in Cross-Scene Hyperspectral Image Classification

Author(s): Haoyu Wang;Xiaomin Liu

Pages: 4013 - 4025

21) An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection

Author(s): Kun Zhu;Nana Zhang;Weiping Ding;Changjun Jiang

Pages: 4026 - 4041

22) A New Causal Inference Framework for SAR Target Recognition

Author(s): Jiaxiang Liu;Zhunga Liu;Zuowei Zhang;Longfei Wang;Meiqin Liu

Pages: 4042 - 4057

23) Distributed Optimal Formation Control of Multiple Unmanned Surface Vehicles With Stackelberg Differential Graphical Game

Author(s): Kunting Yu;Yongming Li;Maolong Lv;Shaocheng Tong

Pages: 4058 - 4073

24) Boundary-Aware Uncertainty Suppression for Semi-Supervised Medical Image Segmentation

Author(s): Congcong Li;Jinshuo Zhang;Dongmei Niu;Xiuyang Zhao;Bo Yang;Caiming Zhang

Pages: 4074 - 4086

25) Deep Transfer Learning for Detecting Electric Vehicles Highly Correlated Energy Consumption Parameters

Author(s): Zeinab Teimoori;Abdulsalam Yassine;Chaoru Lu

Pages: 4087 - 4100

26) Self-Bidirectional Decoupled Distillation for Time Series Classification

Author(s): Zhiwen Xiao;Huanlai Xing;Rong Qu;Hui Li;Li Feng;Bowen Zhao;Jiayi Yang

Pages: 4101 - 4110

27) Context-Aware Self-Supervised Learning of Whole Slide Images

Author(s): Milan Aryal;Nasim Yahya Soltani

Pages: 4111 - 4120

28) CTRL: Clustering Training Losses for Label Error Detection

Author(s): Chang Yue;Niraj K. Jha

Pages: 4121 - 4135

29) Remote Sensing Image Semantic Segmentation Based on Cascaded Transformer

Author(s): Falin Wang;Jian Ji;Yuan Wang

Pages: 4136 - 4148

30) Text-Guided Portrait Image Matting

Author(s): Yong Xu;Xin Yao;Baoling Liu;Yuhui Quan;Hui Ji

Pages: 4149 - 4162

31) An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT

Author(s): Chong Ma;Zihao Wu;Jiaqi Wang;Shaochen Xu;Yaonai Wei;Zhengliang Liu;Fang Zeng;Xi Jiang;Lei Guo;Xiaoyan Cai;Shu Zhang;Tuo Zhang;Dajiang Zhu;Dinggang Shen;Tianming Liu;Xiang Li

Pages: 4163 - 4175

32) Alternating Direction Method of Multipliers-Based Parallel Optimization for Multi-Agent Collision-Free Model Predictive Control

Author(s): Zilong Cheng;Jun Ma;Wenxin Wang;Zicheng Zhu;Clarence W. de Silva;Tong Heng Lee

Pages: 4176 - 4191

33) Adaptive Iterative Learning Control for Nonlinear Multiagent Systems With Initial Error Compensation

Author(s): Zhiqiang Li;Qi Zhou;Yang Liu;Hongru Ren;Hongyi Li

Pages: 4192 - 4201

34) Enhance Adversarial Robustness via Geodesic Distance

Author(s): Jun Yan;Huilin Yin;Ziming Zhao;Wancheng Ge;Jingfeng Zhang

Pages: 4202 - 4216

35) Shapley Value-Based Approaches to Explain the Quality of Predictions by Classifiers

Author(s): Guilherme Dean Pelegrina;Sajid Siraj

Pages: 4217 - 4231

36) Multistream Gaze Estimation With Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning

Author(s): Zunayed Mahmud;Paul Hungler;Ali Etemad

Pages: 4232 - 4246

37) Model-Based Online Adaptive Inverse Noncooperative Linear-Quadratic Differential Games via Finite-Time Concurrent Learning

Author(s): Jie Lin;Huai-Ning Wu

Pages: 4247 - 4257

38) Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks

Author(s): Muhammad Anwar Ma'sum;MD Rasel Sarkar;Mahardhika Pratama;Savitha Ramasamy;Sreenatha Anavatti;Lin Liu;Habibullah Habibullah;Ryszard Kowalczyk

Pages: 4258 - 4268

39) Distilled Gradual Pruning With Pruned Fine-Tuning

Author(s): Federico Fontana;Romeo Lanzino;Marco Raoul Marini;Danilo Avola;Luigi Cinque;Francesco Scarcello;Gian Luca Foresti

Pages: 4269 - 4279

40) Multiagent Hierarchical Deep Reinforcement Learning for Operation Optimization of Grid-Interactive Efficient Commercial Buildings

Author(s): Zhiqiang Chen;Liang Yu;Shuang Zhang;Shushan Hu;Chao Shen

Pages: 4280 - 4292

41) Feedback Generative Adversarial Network With Channel-Space Attention for Image-Based Optimal Path Search Planning

Author(s): Tao Sun;Jian-Sheng Li;Yi-Fan Zhang;Xin-Feng Ru;Ke Wang

Pages: 4293 - 4307

[newjeanzs]

⠀⠀ ⠀⠀cheng xiao icons!🧋

like or reblog if you save/use.

[soogyuloml]

୨ 🕊 cheng xiao layouts ⋆˙⊹ [ requested ]

like/reblog if u save !!

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[i6nie]

cheng xiao bios 𖤐

(🗯️) 私の幸せは . . . CHENG XIAO !?

don't talk to me, i'm thinking of more important things (𝗰𝗵𝗲𝗻𝗴 𝘅𝗶𝗮𝗼)

# #CHENG: 特寫 鏡頭 🎸

. . . bye 𝘣𝘳𝘢𝘪𝘯 🧠 hello 𝙘𝙝𝙚𝙣𝙜 𝙭𝙞𝙖𝙤 ☆

i don't believe in "nobody is perfect" because come on! you didn't see cheng xiao?

like or reblog if you save or use.

[minhozito]

ch3eng

xiaowls

chwngxiaor

iDateCheng

i4chengxiao

ifavcheng

goticheng

cheng xiao users

[akaicy]

cheng xiao users !

xiaogrls

xiaocrop

chengsqr

xiaoturns

chengkity

♥︎ – like or reblog if you save or use.

[users4kpop]

cheng xiao users please

— chengxiaovr

— chngxiaoz • USED

— cxiaoweb

— i2cxiao

— chengxi4o

— itchngxiao

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[metalmorphose]

☆ 🏁 CHENG XIAO USERS ☆

@/XIAOGlRL

@/f4iryxiao

@/150798s

@/xiao4luv

• Like/reblog if saved/used ♡

[wifiwuxians]

my pieces for the danmei mermaid zine! these were so much fun, i’m convinced my true calling is just to make simple storybook illustrations lol

the story here is pretty much that a wandering delinquent found the son of a tyrant, who has been living in hiding for years, in a cave making love potions, not knowing that the young master of a prominent family was actually looking for him to prove himself to his family and bring him to justice. songxiao are explorers who do good deeds on the side and were tracking the delinquent until something more promising came up :3c

it’s also just xue yang gets grabbed: the show

please check out the zine, we all worked really hard on it!

[id: two full-color illustrations in a simplified style depicting a few characters from mdzs as merpeople. 

the first image takes place near the seabed, where some large rock formations give way to a cave. a red mer-squid somewhat resembling wen chao is poking out of it, grinning gleefully as his squid arms wrap around a somewhat flustered, yet smiling, xue yang. his tail is striped black and white and somewhat resembles a barred knifejaw, but his dorsal fin and overall tail shape allude to a shark. in the foreground, a purple, frilled eel tail swims through a few swaying stalks of seaweed, somewhat menacingly surveying the scene. a small hermit crab can be seen hanging out on a rock in the corner. the scene is bright, with white light breaking through the water and golden flecks painting the image. bubbles rise around it to denote movement.

the second image is more out in the open, with a small school of fish and a group of jellyfish swimming by. it is similarly bright and warm, with light streaking down and dotting the space. xiao xingchen, sporting a light golden tail and a surprised smile, is opening a giant clamshell to show its contents to song lan, who has light blue skin and a dark blue tail. he is smiling wider than ever in joy at what resides within the clamshell: a sleeping, tiny a-qing who resembles a green dumbo octopus. the clamshell rests upon a mossy rock. in the background, xue yang is being apprehended by an angry-looking jiang cheng, his purple eel tail coiling around xue yang as he humorously cries out for help. the bubbles rising in this image are duller in color to reflect a calmer image. /end id]