#Wang Ting Xu

[zhanglinghez]

EP.01 | The Snow Moon 「风月如雪」 (2023)

[kdram-chjh]

Cdrama: The Snow Moon (2023)

Gifs of Ending of cdrama "The Snow Moon"

MULTISUB 【风月如雪 The Snow Moon】 EP01 | 千年狐妖 VS 捉妖小白 | 厉嘉琪/左叶/王庭旭/向昕 | 古装爱情片 | 优酷 YOUKU

Watch this video on Youtube: https://www.y2mate.com/es/youtube/Z0fOD-JZB1s

[dare-g]

Dazzling (2002)

[dreamingsushi]

Dance of the Phœnix - Overall review

Now that I finally completed the series Dance of the phœnix, here’s my general review. For those who don’t know about this drama, it is the story of Feng Wu, a prodigious cultivator that lost all of her memories when someone stole her phœnix blood, which made her special. As she tries to regain her spiritual powers to awaken her sleeping master so she can return where she comes from, she makes friends, allies, but also many ennemies.

Plot

I would say the story is overall promising at the beginning, but as we progress through the series, things start to go astray. Character development isn’t a strength, they are all mostly the same at the beginning of the drama and at the end, except for Yu Mingye and Zuo Qingluan, who are in my opinion the two solid strengths of this story. Without them, it would have rather boring. 

My biggest issue with Dance of the phœnix is the many plot holes. Some characters disappear sometimes without any explanation and then they come back without any details as to why they left in the first place. Maybe it has something to do with the actors being unavailable? But the writers could have done a better job than that to hide it. Also, when we read the official summaries everywhere, it says that Feng Wu’s name is Meng Yuan and that she’s a medical student. BUT NEVER EVER IN THE DRAMA IS THAT MENTIONNED! There are clues here and there about the fact that she would be from our world (blowing candles for a birthday, eating ramen but has the quick ones in a box, references to Liu Bei, etc). Mu Jiuzhou, her master, mentions that she’s from another world, but we never get to learn how she came and where is she from. It really bothered me. Also there were a few stories that were a little useless. Especially the one about the wolf lady. It was cute. Then it became extremely sad and I’m still very very mad about what happened. The whole motives behind the bad guys was very weak in my opinion. Overall, it had potential, but it was wasted.

Overall, plot wise this does not deserve more than a 6/10.

Acting

There was good acting and bad acting. It wasn’t so consistent for Yang Chaoyue. I’ve seen comments saying that she seemed emotionless, but that is not what bothered me so much. I feel sometimes she was going way over the top in her acting and it wasn’t matching the character. But at some point, her character wasn’t consistent in the script to begin with, so it must have been hard to keep up. Jun Linyuan did an okay job, like it didn’t strike me as exceptional, but it wasn’t bad. It’s hard to judge when they play an emotionless character. But there were definitely some nice scenes from him, especially after he got a little more comfortable around Feng Wu as Jun Linyuan and he started teasing her.

The two actors that really impressed me were Jinna Fu and Wang Haoxuan. Jinna Fu had to portray the so ever complicated Zuo Qingluan and she did very well. I could believe in every mood swings she had. She made me hate her character, to the point I couldn’t see any redemption for her. And at the same time, I loved Zuo Qingluan just for that. She was alive, albeit motivated by the wrong reasons. I can’t say I’ve ever seen her out of character, even when it seemed a little inconsistent to me (I blame more of the writing than anything else). And finally, Wang Haoxuan. Can we talk about how Yu Mingye was perfect at all times? It was such a complex character, thorn between the expectations of his father, but his gentle nature. He could be cheeky and arrogant without me falling out of it. He made me laugh and cry. I think it was the most relatable character and Wang Haoxuan did an excellent job at showing all the different sides of this tormented child.

For me, the acting in general deserves a 8/10, but that’s because Jinna Fu and Wang Haoxuan did a wonderful job, the average was around maybe 7/10 for me.

Visuals

Here, this is what drew me first to this drama. I really liked the soft look of scenes. The costumes were simple, yet elegant. I enjoyed the colours being consistent for each sect of cultivation. The hairstyles were really a joy to look at, especially for the disciples of the Biluo Palace. I was very impressed. For sure, I’ve seen much more intricate costumes watching historical/xianxia drama, but here it was just enough. The colouring of the scenes were always appeasing. The one thing I didn’t really like is that they made the empress go darker and darker to show that she was the villainess while I think it would have made more sense if she became brighter and brighter. But that’s just my opinion.

The CGI really wasn’t so bad to be honest. Some creatures weren’t that great, but the little bird was great. I just wish they didn’t give it a robotic voice, but oh well. Also they didn’t go overboard with the spells, it wasn’t all over the place and they kept it minimal in special effects, which I like better. Cool special effects are nice, but once it starts becoming overwhelming, I lose all interest.

This drama gets a 9/10, because nothing’s perfect, but they did very well in that aspect.

Soundtrack

I think the soundtrack was one of the strengths of this drama. I really liked both the opening and the ending songs, though I didn’t listen to them every time I watched an episode. I also feel that in general, the music was appropriate to what was happening and really set up the mood of the story.

Here again, it’s 9/10, even though I don’t have as much to say.

Should you watch this drama? I would say no. It has lots of good things and I was pretty excited since it was from the same director as the Untamed, but however it didn’t live up to my expectations. It’s a sweet love story, but unfortunately, I don’t think it’s worth the 30 episodes. Everything was resolved in a very unsatisfying way, a lot of questions were left unanswered and to me the writers didn’t do a very good job to make everything coherent. This drama gets a 7/10, and I’m generous because when I first started watching, I really liked it.

List of full recaps

1 / 2 / 3 / 4 / 5 / 6 / 7 / 8 / 9 / 10 / 11 / 12 / 13 / 14 / 15 / 16 / 17 / 18 / 19 / 20 / 21 / 22 / 23 / 24 / 25 / 26 / 27 / 28 / 29 / 30

[shookethdev]

a o e i i er ai ei ao ou an en ang eng ong i ia iao ie iu ian in iang ing iong u ua uo uai ui uan un uang ueng ü üe üan ün a o e er ai ao ou an en ang eng yi ya yao ye you yan yin yang ying yong wu wa wo wai wei wan wen wang weng yu yue yuan yun b ba bo bai bei bao ban ben bang beng bi biao bie bian bin bing bu p pa po pai pei pao pou pan pen pang peng pi piao pie pian pin ping pu m ma mo me mai mei mao mou man men mang meng mi miao mie miu mian min ming mu f fa fo fei fou fan fen fang feng fu d da de dai dei dao dou dan den dang deng dong di diao die diu dian ding du duo dui duan dun t ta te tai tei tao tou tan tang teng tong ti tiao tie tian ting tu tuo tui tuan tun n na ne nai nei nao nou nan nen nang neng nong ni niao nie niu nian nin niang ning nu nuo nuan nü nüe l la le lai lei lao lou lan lang leng long li lia liao lie liu lian lin liang ling lu luo luan lun lü lüe g ga ge gai gei gao gou gan gen gang geng gong gu gua guo guai gui guan gun guang k ka ke kai kei kao kou kan ken kang keng kong ku kua kuo kuai kui kuan kun kuang h ha he hai hei hao hou han hen hang heng hong hu hua huo huai hui huan hun huang z za ze zi zai zei zao zou zan zen zang zeng zong zu zuo zui zuan zun c ca ce ci cai cao cou can cen cang ceng cong cu cuo cui cuan cun s sa se si sai sao sou san sen sang seng song su suo sui suan sun zh zha zhe zhi zhai zhei zhao zhou zhan zhen zhang zheng zhong zhu zhua zhuo zhuai zhui zhuan zhun zhuang ch cha che chi chai chao chou chan chen chang cheng chong chu chua chuo chuai chui chuan chun chuang sh sha she shi shai shei shao shou shan shen shang sheng shu shua shuo shuai shui shuan shun shuang r re ri rao rou ran ren rang reng rong ru rua ruo rui ruan run j ji jia jiao jie jiu jian jin jiang jing jiong ju jue juan jun q qi qia qiao qie qiu qian qin qiang qing qiong qu que quan qun x xi xia xiao xie xiu xian xin xiang xing xiong xu xue xuan xun

NAKU 🫵

[fandoestrans]

Hi! i saw your thread on twitter about Chinese culture concerning danmei in spain. You mentioned that Chinese names often follow some sort of theme and usually have 1 or two characters per name, so I wanted to ask you if there was anything else to naming customs in China?

I’m trying to create a name for a character I have and I want it to be authentic as possible :,)) sorry if this is too much to ask!! <3

Hello! Hope you're having a lovely day!

There can be a lot of art in something as simple as a name in Chinese-- my knowledge is not exhaustive but I'm happy to talk about and share as much as I can!

Chinese names usually go by a 1 or 2 word surname, followed by a 1 or 2 word first name. Depending on the region, some minority groups may have names longer than that too (e.g. 迪丽热巴 迪力木拉提 Dilraba Dilmurat, 库都斯江·艾尼娃尔 Kudusjan Anivar) but we won’t talk about that.

Surnames:

Usually 1 or 2 characters long

The Top 20 most common single word Chinese surnames in mainland China (in order):

Wang, Li, Zhang, Liu, Chen, Yang, Huang, Sun, Zhao, Wu, Zhou, Xu, Ma, Zhu, Hu, Guo, He, Gao, Luo, Lin

The Top 7 most common multiple word Chinese surnames in mainland China (in order):

Ouyang, Shangguan, Huangfu, Linghu, Zhuge, Situ, Sima

Each surname has history behind it. 

E.g. 王 Wang was actually the title used to refer to members of the royal family in ancient Chinese history. This includes calling the King "王" during the 3 kingdoms era, or calling a lord/prince "王爷" during the Qing dynasty for example. Therefore, the surname 王 was historically reserved for those in power and families of high social status.

E.g. two-word names potentially came from court titles

Naming customs include:

siblings having similar/matching names-- names of siblings or close relatives can be put together to achieve a deeper level of meaning. Sometimes even the names of family members through generations could be matching or similar, like with only 1 character difference

naming based on family symbols/motifs-- this refers to names associated with the town or birthplace, etc.

naming with particular meaning-- this is often derived from literature or poetry, the latter being a huge inspiration for names. Names can also describe the person's personality

Gendered names:

They do exist in Chinese. Certain characters with associated meanings may have gender connotations associated with them

It's all very stereotypical, but most commonly names with "feminine" words such as 美 (mei = beauty), 花 (hua = flower), 婷 (ting = gracefulness) are used for females, while "masculine" words like 力 (li = strength), 俊 (jun = handsome), 宏 (hong = grand) are used for males

Non-gendered/unisex names exist too. Words such as 明 (ming = bright)，雨 (yu = rain)，云 (yun = cloud)，南 (nan = South)，嘉 (jia = good, delightful) can sound unisex

Aside from this, also keep in mind:

The sound of the name plays a very significant role. A good name needs to flow when said aloud and have a nice ring to it.

A lot of names might sound "old fashioned" or "outdated"

Many Chinese words have the same pronunciation but different meanings, so it's important to make sure the name doesn't accidentally end up sounding like something it's not supposed to sound like e.g. 梅潜 (mei qian = pronounced the same as 没钱 which means no money)

I am currently writing a document detailing more cultural aspects including naming conventions, place names, customs and traditions, brief folklore and genres of Chinese fiction-- I go into a bit more detail in there. I'm gauging interest at the moment-- let me know if this would be of interest to you and I will endeavour to complete it sometime!!!

I hope this was helpful! Please feel free to ask me any more questions!

[eyenaku]

Ji ji fu ji ji

a o e i i er ai ei ao ou an en ang eng ong i ia iao ie iu ian in iang ing iong u ua uo uai ui uan un uang ueng ü üe üan ün a o e er ai ao ou an en ang eng yi ya yao ye you yan yin yang ying yong wu wa wo wai wei wan wen wang weng yu yue yuan yun b ba bo bai bei bao ban ben bang beng bi biao bie bian bin bing bu p pa po pai pei pao pou pan pen pang peng pi piao pie pian pin ping pu m ma mo me mai mei mao mou man men mang meng mi miao mie miu mian min ming mu f fa fo fei fou fan fen fang feng fu d da de dai dei dao dou dan den dang deng dong di diao die diu dian ding du duo dui duan dun t ta te tai tei tao tou tan tang teng tong ti tiao tie tian ting tu tuo tui tuan tun n na ne nai nei nao nou nan nen nang neng nong ni niao nie niu nian nin niang ning nu nuo nuan nü nüe l la le lai lei lao lou lan lang leng long li lia liao lie liu lian lin liang ling lu luo luan lun lü lüe g ga ge gai gei gao gou gan gen gang geng gong gu gua guo guai gui guan gun guang k ka ke kai kei kao kou kan ken kang keng kong ku kua kuo kuai kui kuan kun kuang h ha he hai hei hao hou han hen hang heng hong hu hua huo huai hui huan hun huang z za ze zi zai zei zao zou zan zen zang zeng zong zu zuo zui zuan zun c ca ce ci cai cao cou can cen cang ceng cong cu cuo cui cuan cun s sa se si sai sao sou san sen sang seng song su suo sui suan sun zh zha zhe zhi zhai zhei zhao zhou zhan zhen zhang zheng zhong zhu zhua zhuo zhuai zhui zhuan zhun zhuang ch cha che chi chai chao chou chan chen chang cheng chong chu chua chuo chuai chui chuan chun chuang sh sha she shi shai shei shao shou shan shen shang sheng shu shua shuo shuai shui shuan shun shuang r re ri rao rou ran ren rang reng rong ru rua ruo rui ruan run j ji jia jiao jie jiu jian jin jiang jing jiong ju jue juan jun q qi qia qiao qie qiu qian qin qiang qing qiong qu que quan qun x xi xia xiao xie xiu xian xin xiang xing xiong xu xue xuan xun

[wqp88888]

百家姓在全球各个华语地区的拼音

中文 中國大陸 台灣 香港 澳門 新加坡 馬來西亞 越南 韩国

1 赵 Zhao Chao Chiu Chio Chow Teoh/ Chew/ Tiew Trieu Jo/Cho

2 钱 Qian Chien Chin Chin Zee Chien/Chen Tien Joen/Chun

3 孙 Sun Sun Suen Sun Soon Soon/Sun/Shun/Song Ton Son

4 李 Li Li / Lee Li / Lee Lei Lee Lee/Li Ly Lee / Rhee/ Yi

5 周 Zhou Chou Chow / Chau Chao Chew Chew / Cheu / Chou / Chow / Chiew Chu Ju/Chu

6 吴 Wu Wu Ng Ng Goh Ng / Goh / Ngo/ Ngu Ngo Oh

7 郑 Zheng Cheng Cheng Cheang Tay Ching / Tang / Tey / Tay / Tee / Teh / Cheng / Chin / Chang / Chung / Chiang Trinh

8 王 Wang Wang Wong Vong / Wong Ong / Wong Ong / Ng / Wong / Wang / Bong / Heng Vuong Wang

9 冯 Feng Feng Fung Fong Foong/Fung/Fong Phung Pung

10 陈 Chen Chen Chan Chan Tan / Chan / Ting Chan / Chin / Chen / Tan / Tang / Ting / Sin Tran Jin/Chin

11 褚 Chu Chu Chu Chu Too/Toh

12 卫 Wei Wei Wai Wai Wee/Wei Vi Ui/Oui

13 蒋 Jiang Chiang Cheung Cheong Chiang/Cheong/Chiong Tuong Jang/Chang

14 沈 Shen Shen Shum / Sum Sam Sim Sim/Shim/Shun/Shum Sim

15 韩 Han Han Hon Hon Hon/Hong Han Han

16 杨 Yang Yang Yeung Ieong Yeo / Yong Yong / Yeo / Yeoh / Eow / Yeong / Yew Duong Yang

17 朱 Zhu Chu Chu Chu Choo Chu/Choo/Jee/Jeh Chau Chu/ Joo

18 秦 Qin Chin Chun Chin/Ch'ng Tan Jin/Chin

19 尤 You Yu Yau Iao Yew/You Vuu

20 许 Xu Hsu Hui Hoi Hee / Koh Khu / Khoo / Khor / Khow / Hoo / Hooi / Khaw / Hii Hu Heo/Huh

21 何 He Ho Ho Ho Hoh Ho/Hoh/Hor Ha Ha

22 吕 Lu Lu Lui Loi Loh/Lei/Lui/Lee La/Lu Yeo/Ryeo

23 施 Shi Shih Sze Si See/Sii/Sih

24 张 Zhang Chang Cheung Cheong Cheong Cheong / Chong / Teo / Chang / Teoh / Tiong Truong Jang/Chang

25 孔 Kong Kung Hung Hong Kong/Khong/Kung Khong Gong/Kong

26 曹 Cao Tsao Cho / Tso Chou Cheng/Choo/Cho/Chu/Chao Tao Cho/Jo

27 严 Yan Yen Yim Im Yam/Ngim Nghiem Im

28 华 Hua Hua Wa / Wah Wa Hoa Wha/Wah/Wa

29 金 Jin Chin Kam Kam Kim/King Kim Kim

30 魏 Wei Wei Ngai Ngai Ngui/Gui/Woi Nguy Ui/Oui

31 陶 Tao Tao To Tou Tho/To/Too/Toh Dao Do/To

32 姜 Jiang Chiang Keung Keong Khiang/Kiang Giang Kang/Gang

33 戚 Qi Chi Chik Chek Cheok

34 谢 Xie Hsieh Tse Che Cheah / Tay / Chia Cheah / Chiah / Chia / Seah / Sia / See Ta Sa

35 邹 Zou Tsou Chau / Chow Chao Chew/Chou/Chu

36 喻 Yu Yu Yu U Yu/Yho/Yuh You/Yu

37 柏 Bai Pai Pak Pak

38 水 Shui Shui Sui Soi Shu/Tshui

39 窦 Dou Tou Tau Tao

40 章 Zhang Chang Cheung Cheong Cheong/Chong/Teo/Tiong/Tong

[编辑] 百家姓41-80

中文 中國大陸 台灣 香港 澳門 新加坡 馬來西亞 越南 韩国

41 云 Yun Yun Wan Wan Woon/Wun/Yun/Yung

42 苏 Su Su So Sou Soh Soh / Saw / Soo To

43 潘 Pan Pan Poon / Pun Pun Phua Phua / Pan / Pang / Phang Phan Ban

44 葛 Ge Ko Kot Gal

45 奚 Xi Hsi Hai Kai Hae

46 范 Fan Fan Fan Fan Fung / Fam / Fang / Hwang Pham Bum

47 彭 Peng Peng Pang Pang Pang Peng/Pang/Phang Paeng

48 郎 Lang Lang Long Long Lang

49 鲁 Lu Lu Lo Lou Loo Loo/Loh/Lu Noh

50 韦 Wei Wei Wai Wai Wai/Wei/Vei Vi

51 昌 Chang Chang Cheung Cheong Cheong/Chang/Cang Xuong

52 马 Ma Ma Ma Ma Beh / Mah / Mha / Ma Ma Ma

53 苗 Miao Miao Miu Mio

54 凤 Feng Feng Fung Fong Fong

55 花 Hua Hua Fa Fa Faa/Fah/Fha Hoa

56 方 Fang Fang Fong Fong Pung / Fang / Fong / Phun / Huong Phuong Bang

57 俞 Yu Yu Yu U Je / Yii You/Yu

58 任 Ren Jen Yam Iam Yam/Ngam/Yim/Ngieng/Ngiam Nham Rim/Yim

59 袁 Yuan Yuan Yuen Un / Iun Yuan / Yuen / Ngen Vien Won

60 柳 Liu Liu Lau Lao Liew/Liu/Lew Lieu You/Yu/Ryu

61 酆 Feng Feng Fung Fong

62 鮑 Bao Pao Pau Pao

63 史 Shi Shih Sze Si Sa

64 唐 Tang Tang Tong Tong Thang / Thong / Tang / Tong / Thong Duong

65 費讀「秘」 Pei Pei Pei Pai

66 廉 Lian Lien Lim Lim

67 岑 Cen Tsen Sum / Shum Sam Sim

68 薛 Xue Hsueh Sit Sit Sik / Sit / Silk Seol/Sul

69 雷 Lei Lei Lui Loi Lui / Looi / Lewe / Lei

70 賀 He Ho Ho Ho Hor/Hoo

71 倪 Ni Ni Ngai Ngai Geh / Nga / Ngam

72 湯 Tang Tang Tong Tong Thong / Tang / Thang

73 滕 Teng Teng Tang Tang Thang

74 殷 Yin Yin Yan Ian Yam / Ngam

75 罗 Luo Lo Law / Lo Lo Lo / Lau / Low / Loh La Rah/Na

76 毕 Bi Pi But Pat Tat

77 郝 Hao Hao Kok

78 邬 Wu Wu Wu Vu / Wu Woo / Voo / Woh / Wu / Vu O

79 安 An An On On An An / Ahn

80 常 Chang Chang Sheung Seong

[编辑] 百家姓81-120

中文 中國大陸 台灣 香港 澳門 新加坡 馬來西亞 越南 韩国

81 乐 讀「洛」或「惡」 Yue Yueh Lok/ Ok Lok/ Ok

82 于 Yu Yu Yu U

83 时 Shi Shih See / Sze Si

84 傅 Fu Fu Foo Fu Fu/Foo/Foh

85 皮 Pi Pi Pei Pei

86 卞 Bian Pien Pin Pin Byun

87 齐 Qi Chi Chai Chai

88 康 Kang Kang Hong Hong Gang/Kang

89 伍 Wu Wu Ng Ng Ng Ng/Ngo/Ngoh/Wu/Wuh/Woo

90 余 Yu Yu Yu U Yee/Tsia/Tse

91 元 Yuan Yuan Yuen Un / Iun

92 卜 Bu Pu Puk Pok/Puu

93 顾 Gu Ku Koo Ku Koe

94 孟 Meng Meng Mang Mang Mang/Meng Maeng

95 平 Ping Ping Ping Peng

96 黄 Huang Huang Wong Vong / Wong Bong / Boong / Ng / Ong / Ooi / Wong / Wee Hwang

97 和 He Ho Wo Vo Hoo/Woh/Woo/Wo Hwa

98 穆 Mu Mu Muk

99 萧 Xiao Hsiao Shiu / Siu Sio Seow/Siew/Siau/Siaw/Sew/Siu/Seu

100 尹 Yin Yin Wan Wan Yoon

101 姚 Yao Yao Yiu Io Yeo Yeo / Yeoh / Yew / Yow

102 邵 Shao Shao Siu / Shiu Sio Shaw Shao/Shaw/Sao/Shau

103 湛 Zhan Chan Cham

104 汪 Wang Wang Wong Vong / Wong Wang/Wong/Vang

105 祁 Qi Chi Kei

106 毛 Mao Mao Mo Mou Bo / Boo / Moh / Moo Mo

107 禹 Yu Yu Yu U

108 狄 Di Ti Tik / Dick Tek

109 米 Mi Mi Mai Mai

110 贝 Bei Pei Pui Pui

111 明 Ming Ming Ming Meng Myeong /Myung

112 臧 Zang Tsang Chong

113 计 Ji Chi Kai Kai

114 伏 Fu Fu Fuk Fok

115 成 Cheng Cheng Shing / Sing Seng Sang/Shang//Tshan/Tshang Sung/ Seong

116 戴 Dai Tai Tai Tai Tai/Thai/Dai/Dhai

117 谈 Tan Tan Tam Tam

118 宋 Song Sung Sung Song Song Shong/Song/Sung Song

119 茅 Mao Mao Mau Mao

120 庞 Pang Pang Pong Pong Phong/Pong/Pang

[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

[movienized-com]

Raid on the Lethal Zone

Raid on the Lethal Zone (2023) #HermanYau #YuanDu #JasonGu #YaoHuang #Kung-WeiLu #HaoOu Mehr auf:

绝地追击 Jahr: 2023 Genre: Action / Drama / Thriller Regie: Herman Yau Hauptrollen: Yuan Du, Jason Gu, Yao Huang, Kung-Wei Lu, Hao Ou, Bing Shao, Pengyuan Shi, Ting Wang, Guangyu Xu, Yong You, Haoming Yu … Filmbeschreibung: In den 1990er Jahren riskiert eine Spezialeinheit in Yunan unter dem Codenamen 8077 ihr Leben im Kampf gegen Katastrophen und Drogendealer. Während ihrer Missionen stehen sie…

[kdram-chjh]

Cdrama: The Snow Moon (2023)

ESPSUB [Luna de nieve] | Todos los episodios | Traje Antiguo / Romance | Zuo Ye / Li Jiaqi | YOUKU

Watch this video on Youtube: https://www.youtube.com/watch?v=RUOfSERkyx4

[eigwayne]

More Chongzi thoughts:

The only character I really respect is Qin Ke and maybe Tian Zhixie.

Ting Xue better be getting some comeuppance before the end. I may hate Luo Yinfan but the current situation is directly Ting Xue's doing and I hate to see awful people go unpunished.

Actually pretty pleased with several actors. Wang Zhuocheng has a tendency to overact sometimes, but he's toned it down a bit and I think he did well here, overall. Ma Wenyuan and Li Daikun are both doing convincing jobs but I wasn't worried about them. And like, I may hate the character of Luo Yinfan and complain bitterly, but his actor Xu Zhengxi (Jeremy Xu) is not that bad. I think I could watch other stuff of his.

Just, not if his female lead looks this young. Part of the ick factor is Yang Chaoyue looks even younger than she is, like a petulant 17-year-old, so Xu Zhengxi just looks like her uncle or something (Xiao Zhan and Ren Min have the same problem in The Longest Promise, but Shi Ying is only 18 and they remind you occasionally, so it feels like inappropriate casting and not a jail-able offense).

[dreamingsushi]

Dance of the Phœnix - Episode 17

It has been a while since I started this drama, back when I was still subbing dramas and somehow I stopped watching even though I really enjoyed this show back then. I was still curious about this series and the ending, and doing some cleaning of this blog made me think about it again. I totally forgot everything about the story or almost, so I just finished binge watching the first 16 episodes. Now, I see a lot of inconsistencies in the story, it is definitely not as great as remember, however I am still very much in love with the soundtrack and the costumes. One might argue that they aren't very accurate, but I love the simplicity and the details: scarce but pretty enough to stand out discreetly. Totally my style.

Anyways, as a quick reminder, Feng Wu was a very talented cultivator until her phœnix blood was stolen by another fellow swordswoman, Zuo Qingluan. Since then she lost her past memories and attempts to gain back her energy to start cultivating again. As such, she meets her childhood sweetheart Jun Linyuan, with whom she falls in love really quickly, and his opponent of always Yu Mingye. As she recovers her spiritual energy, she embarks on a quest to revive her sleeping master, the notorious Mu Jiuzhou. This tasks brings her to become a student at the Junwu Academy. That's the storyline so far. I don't remember all the terms for translation, so it might differ than in previous posts, so for that, I apologize. I also noted, reading back, that some of my recaps are inaccurate at moment, hence the following disclaimer: I write my recaps as I watch the shows, so sometimes I miss part of the action or might have misinterpreted some events because I was focused on a previous part. I hope they are helpful to anyone watching, but please refer to your own understanding as required. Thank you and let's now embark on this journey, because I have lots of questions and I need answers.

Jun Linyuan, Feng Wu, Zhao Ge, Xuan Yi and Feng Xun all get into the Junwu Academy together and this is day one as a student. There is a commotion right at the entrance, which is Feng Wu asking Mu Yao to call her Daddy since she passed the examination for the Academy. See that's one of the things that doesn't really make sense. Feng Wu knows a lot of stuff about modern day that she shouldn't know in the context of this drama and so far there are NO explanations. It has been said that she is not the real Feng Wu, but that doesn't say a lot. Zuo Qingluan tries to talk Mu Yao out of this, but Feng Wu won't stand back. Jun Linyuan and Yu Mingye both take Feng Wu's side, so Mu Yao doesn't have a choice to. Nobody understands what Daddy means. It sounds weird in English, but makes sense in Chinese. It's like... Daddy never existed, but only Father.

First class, Feng Wu sleeps through it. She thinks Jun Linyuan takes her away to review everything she slept through. However he wanted to give her the Jade vase as he promised her. She runs away to bring it to the Colorful bird. It breaks it and they obtain the first broken piece to awaken Mu Jiuzhou.

Feng Xun and Xuan Yi are having lunch together. Zhao Ge brings some baozi she made herself for Xuan Yi. Pressed a little by Feng Xun, he takes one, but before he can take one bite, Feng Xun grabs the second one and eats it thinking Feng Wu cooked it. However, after one bite, he spits it out right away, because it is too salty. Zhao Ge says she made it herself and that she will take it away if it's bad. She runs before Xuan Yi can grab a bite and he scolds Feng Xun. Feng Wu finds Zhao Ge feeeling down and she grabs the baozi. She says that it was for Xuan Yi and Feng Wu says he's bad for not wanting it. Zhao Ge compares him with Jun Linyuan who also isn't really good at showing his feelings. Talking about him, he just comes to bring her lunch and Zhao Ge leaves the two of them alone. Feng Wu promises to study seriously so she can fight alongside with Jun Linyuan.

Mu Yao is still very upset about what happened. She still roots for Zuo Qingluan as Jun Linyuan's partner.

The Master of the dark court realized that someone is trying to revive Mu Jiuzhou. This is going against his plans. Yu Mingye is tasked with enquiring about it. For now the only one they can think of might be Wu Youdao, since his style is quite similar to Mu Jiuzhou.

Feng Wu gets scolded in class for sleeping and someone framed her for taking the teacher's ruler, I'm too lazy to check my dictionary, but whatever kind of stick that was. It seems it was the ladies from Biluo Palace. She breaks Mu Yao's desk and is kicked out of class. She is not allowed to come back again until she melts a block of ice and makes tea out of it.

Meanwhile, Yu Mingye is going about with his mission, spying on Wu Youdao. As a special entry student from the Dark Night court, he can attend classes as he wishes. However he is quickly noticed by the old man. He advises him, without uncovering him, not to meddle in his business. Then he bumps into Zuo Qingluan. He tells her to mind her own business. She warns him that if she can't stop him, Jun Linyuan will. And she tells him that if he does anything to harm any of her disciple sisters, she won't leave him alone. Yu Mingye upsets her. She then threatens him saying that Feng Wu is his weakness and he leaves asking if she doesn't have any.

Zhao Ge made some cakes with Feng Wu for Xuan Yi. Feng Xun this time won't eat. It isn't really tasty, but he manages not to let know Zhao Ge and hurries back to class so he won't have to eat anymore. This time around, Feng Xun helped a bit, instead of hurting the lady's feeling.

Jun Linyuan is called back home. The empress/queen asks about his betrothal and he says he already has his plans for that. She pretends to be sad that he thinks her not competent enough to make a selection for him. His dad says she should take care of it since everything she did up till now was done properly. Jun Linyuan begs on his knees not to which angers the emperor/king. His son should do as his parents tell him too. The empress pretends to side with Jun Linyuan. He is punished for being rebellious. He is sent to a place filled with lightning to kneel for a long time.

As I end watching this episode, I realize I might have already watched it and wrote the recap in my notebook back then. At first I thought everything was so familiar because I was subbing this project, but Youtube tells me I already watched both episode 18 and 19. Crazy thing. Anyways, I probably now have a better insight of the story, even though I should probably watch with English subtitles since I haven't been practicing my Chinese much the past few years. I am a little proud though to rely on translations. None of my questions were answered, but that has to be it for today, because I'm tired and I still have so much to do left before tonight. See you next time!

[ericayuwenhuang]

Here is where we meet

Here is where we meet 2023/06/29-10/15 Venue: Chiayi Art Museum 1F-3F Supervisors：Ministry of Culture, Chiayi City Government Organizers：Chiayi Art Museum, Tianmei Art Foundation Collaborators：TKG+, Mind Set Art Center, Each Modern Curator：Erica Yu-Wen Huang Artists：Wang Po-Yen, Wu Chuan-Lun, Lin Yi-Hsuan, Lin Ying-Chieh, Chiu Chen-Hung, Chang Chih-Chung, Zhang Xu-Zhan, Chang Cheng-Chun, Chuang Ho, Kuo Yu-Ping, Chen I-Chun, Chen Sung-Chih, Chen Ching-Yuan, Chen Ching-Ming, Huang Chih-Cheng, Liao Chi-Yu, Liu Chih-Hung, Cheng Nung-Hsuan, Jian Yi-Hong, Lo Yi-Chun Archive Room - Participating Artists：Ding Chien-Chung, Niu Jun-Qiang, Wang Po-Yen, Shih Meng-Hsin, Wu Chuan-Lun, Li Yi-Fan, Li Ting-Huan, Lin Hao-Bai, Lin Yi-Wei, Lin Ying-Chieh, Chiu Chen-Hung, Chiu Chien-Jen, Hung Sheng-Hsiung, Hsu Yin-Ling, Shiu Sheng-Hung, Chang Chih-Chung, Zhang Xu-Zhan, Chang Cheng-Chun, Chang San-Hsueh, Chuang Ho, Kuo I-Chen, Kuo Yu-Ping, Chen I-Chun, Chen Sung-Chih, Chen Kuan-Ying, Chen Fei-Hao, Chen Ching-Yuan, Chen Ching-Ming, Huang Chih-Cheng, Huang Xuan, Yang Han-Chiao, Liao Chi-Yu, Liao Zen-Ping, Liu Chih-Hung, Liu Feng-Ling, Cheng Nung-Hsuan, Ou Jing-Yun, Hsieh Jhou-Yu, Jhong Jiang-Ze, Lo Chan-Peng, Luo Jr-Shin, Lo Yi-Chun

[topmodelrealm]

ChiNTM Cycle 5: Averages

2.5 (Li Si Jia)

3 (Ha Sheng)

4 (Li Xue)

4.4 (Huang Si Qi)

4.625 (Zhao Zhuo Nun)

5.8 (Wang Ren Chuan)

5.83 (Liu Xian Xia)

6 (Li Hao Ting)

6.5 (Wang Meng)

7.75 (Jia Zhen Zhen)

8 (Yi Chen)

8.3 (Xu Meng Ting)

8.5 (Teng Tian Long)

11 (Yu Ling Yun)

13 (Lao Yu Ting)

16 (Jiang Ying)

[dear-indies]

hey cat and mouse! i'm hoping to gain some help with a fc replacement. i was using kris wu (specifically from his role in mr. six) as a fc, but after finding out about his sentencing and everything, i am too disgusted to even think of using him. do you have some recommendations for any male, chinese fcs that have strong eyebrows and, if possible, white / light hair? thank you so much!

William Chan / Chen Wei Ting (1985) Hongkonger.

Ma Tian Yu (1986) Hui Chinese - is a practicing Muslim so please cast accordingly.

Ludi Lin (1987) Chinese - has had blond hair and has gif packs of him with blond hair!

Lu Han (1990) Chinese - has had blond hair!

Lay Zhang (1991) Chinese - is blond!

Wang Zi Yi (1996) Chinese - has had blond hair!

Xiao De Jun (1999) Chinese - has had blond hair!

Dark hair:

Zhang Ruo Yun (1988) Chinese.

Jing Bo Ran (1989) Chinese.

Yang Yang (1991) Chinese.

Xiao Zhan (1991) Chinese.

Gong Jun (1992) Chinese.

Ou Hao (1992) Chinese.

Vin Zhang (1993) Chinese.

Xu Kai (1995) Chinese.

Wang Hao Xuan (1995) Chinese.

Wang Zhuo Cheng (1996) Chinese.

Zhu Zheng Ting (1996) Chinese.

Thanks to @lewistan for some of these suggestions too!