#li tong guang
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ladynamie · 10 months ago
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CHANG HUA SEN as LI TONG GUANG A Journey to Love 一念关山 | Episodes 17 - 21
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swiftletinthecloud · 8 months ago
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We lost both Sun Lang and Qian Zhao in one episode 😭And Yu Shi San having to fight and lose his brothers and look after the others with the belief that there will be no help from Ning Yuan Zhou since Yu Shi San saw the post about Ren Ru Yi's "death" and knew that NYZ would follow her in death.
No! Yu Shi San sent Yuan Lu away from the frontline to be the messenger so he won't be in danger yet he still died!
Also to think of what is going on at the frontline of them having to hold for Yuan Lu's journey and then the 3 days while Li Tong Guang and Yang Ying were under house arrest and all the freaking romance mess. Like seriously people are dying here!!
Also my mom is just so annoyed and mad that while his brothers of Six Realms Hall are fighting and dying left and right, Ning Yuan Zhou is just focused on romance. And you know what, after the pause for their impromptu wedding, I'd agreed. Yuan Lu did not run with all his strength to death to deliver frontline news and ask for support for no immediate reaction, especially from his precious Ning Da Ge, and the man didn't even know his brothers died until later.
At the same time though, the multi-shipping in this drama for me is crazy! But I definitely like the subtleties of all the side pairings more.
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movielosophy · 10 months ago
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A Journey To Love |  I want to help too
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kdram-chjh · 6 months ago
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Cdrama: Blossom (2024?)
Trailer 【九重紫 | Blossom】 首支片花——孟子义李昀锐珠沉玉碎入轮回
Watch this video on Youtube: https://www.youtube.com/watch?v=G6YT1SlbVig
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labseraph · 10 months ago
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Some people just need to be dunked every so often to snap them out of it, but man he's so pretty. Li Tongguang wet or dry, rocks that barbarian prince look like whoa.
Oh, this sopping wet, pathetic, poor little meow meow...
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TBH, I'm dragging my feet on finishing this series because I can see it heading some places I'm not sure I need to see, but gods if this hot mess little freak isn't going to live rent-free in my head for the rest of my life.
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danmeigirl · 7 months ago
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Listing Upcoming C-Drama's to watch in 2024 & beyond :-
Fox Spirit Matchmaker : Love in Pavilion (Lead- Liu Shishi & Leon Zhang)
Fox Spirit Matchmaker : Red-Moon Pact (Lead- Yang Mi & Gong Jun) Released
Fox Spirit Matchmaker : Sword and Beloved (Lead- Li Yi Tong & Cheng Yi)
Legend of the Female General (Lead- Zhou Ye & Ryan Cheng)
The Princess Royal (Lead- Zhao Jin Mai & Zhang Ling He) Released
Love of the Divine Tree ( Lead- Deng Wei & Julia Xiang)
Guardians of the Dafeng (Lead- Dylan Wang & Tian Xi Wei)
Fangs of Fortune (Lead- Neo Hou & Chen Duling) Released
Love in the Desert (Lead- Fang Yulin & Hanikezi) Released
Snowy Night : Timeless Love (Lead- Joseph Zeng & Li Qin) Released
Reborn for Love (Lead- Jing Tian & Zhang Lingh He) Released
Shui Long Yin (Lead- Fang Yilun/Xiao Shunyao/Luo Yunxi)
Lady Revenger Returns from the Fire (Lead- Xu Lu & Wei Zheming)
A Dream Within A Dream (Lead- Li Yi Tong & Liu Yu Ning)
Thousand Fragrances (Lead- Song Wei Long & Ju Jing Yi)
Love Game in Eastern Fantasy (Lead- Esther Yu & Ding Yuxi) Released
Legend of Dark River (Lead- Gong Jun & Chang Hua Sen)
Dashing Youth (Lead- Neo Hou & Hu Lian Xin) Released
The Story of Pearl Girl (Lead- Liu Yuning & Zhao Lusi)
Lin Jiang Xian (Lead- Joseph Zeng & Bai Lu)
Fall in Love with a Fox (Lead- Wanyan Luo Rong & Xu Hao)
Echo of her Voice (Lead- Wei Zheming & Xu Jia Qi) Released
Snowfall (Lead- Gao Wei Guang & Nana Ouyang) Released
Go East (Lead- Tan Jian Ci & Zhou Yiran) Released
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barananduen-blog · 11 months ago
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Chang Hua Sen as Li Tong Guang in "A Journey to Love" - ep. 22
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skinny-teddy · 11 months ago
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I saw this on Dou Yin and let me try to translate:-
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This drama is all about Li Tong Guang and Yang Ying's growth. They are the main characters of the story😭 just that the drama is from Ning Yuan Zhou's and Ren Ru Yi's point of view.
Ren Ru Yi taught the Yang Ying that was brought up by Ning Yuan Zhou, Ning Yuan Zhou taught the Li Tong Guang that was brought up by Ren Ru Yi.
The dunking of LTG in the water tank was NYZ teaching LTG strategising. RRY's death (fake death, YY thought real), that was where YY really matured. Later when NYZ died, that was where LTG really matured. 😭😭
Lastly, they truly matured to become pillars of the country, someone with flesh and blood, with stories and abilities. 😭😭
** PS. Sorry for any mistakes. I can only do very literal stuffs, nothing too poetic.
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shookethdev · 2 years ago
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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 🫵
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craftercat · 4 months ago
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As well as Sima Guang cutting the wrong part and making it look as if Li Shimin drowned his own army, the phrase "季年疾病,刑法濫酷;太宗承之,吏文亦深" is also a good example of why we need to look at the Twenty-Four Histories in addition to the Zizhi Tongjian.
This phrase is a paraphrasing of the Weishu's treatise on criminal punishment. However, the language used here makes it look as if Tuoba Si continued his father's later cruelty, when the Weishu makes it clear that this was not the case.
"季年災異屢見,太祖不豫,綱紀褫頓,刑罰頗為濫酷" is the first of the original version. It means "in his later years disaster was frequently seen, Tuoba Gui was not at ease, the laws were damaged and destroyed, and punishments were rather excessively cruel"
From this two mistakes in the Zizhi Tongjian is already made: the first is that the punishments were cruel, not the penal laws. The rule of law was destroyed and in shambles rather than excessively cruel. The second is that the excessively cruel punishments are supposed to show that the administration had deteriorated, while Sima Guang seems to have used it to show Tuoba Gui's cruelty.
And the original wording on Tuoba Si's laws are "太宗即位,修廢官,恤民隱,命南平公長孫嵩、北新侯安同對理民訟,庶政復有敍焉。帝既練精庶事,為吏者浸以深文避罪", which means "Tuoba Si ascended the throne, restored abandoned officials, relieved the people's suffering, and ordered the Duke of Nanping Baba Song and Marquis of Beixin An Tong to manage the people's lawsuits, and common governance again had appraisal. The emperor was proficient in government affairs, and those who served as officials gradually because of their strict laws avoided crime."
This indicates that Tuoba Si did not continue Tuoba Gui's cruelty. He restored those unjustly dismissed under Tuoba Gui, and he had his officials manage lawsuits. This led to appraised governance, which means that Tuoba Si fixed the problems of Tuoba Gui's late reign. The excessive cruelty was because Tuoba Gui's administration had deteriorated, so this language saying that Tuoba Si fixed these problems means that this problem would also be fixed.
As well, the Weishu and Zizhi Tongjian give two different causes to Tuoba Si's officials being strict in their enforcement of laws. The Weishu attributes this to Tuoba Si being good at finding mistakes in legal judgements, while the Zizhi Tongjian attributes this to the harsh punishments for these mistakes.
While usually "深文" refers to strict laws, I doubt it means such in this case. Tuoba Si is described in his biography as having been lenient and he is described as adopting lenient solutions to criminal cases given by the ministers. I don't think it makes much sense for him to pressure his officials into adopting strict laws. "深文" is more likely referring to the "strict" (read: proper) enforcement of laws by officials to avoid making mistakes, or to them being well-versed in civil affairs or the law, which does work as a translation of the phrase "深文", even if it is not the standard or most common one.
Furthermore, Tuoba Gui's cruelty led to his officials and staff becoming afraid of him, leading to more problems. The officials were not sure of their position and became lazy and idle, not supervising government affairs. They also robbed the people and thieves were common, and the entire government ground to a halt. Tuoba Si's common governance having appraisal means that these problems must have ended under him, as there was no longer this climate of fear. We can also see this by the fact that refugee activity again became common under Tuoba Si, which indicates that his governance was one people were willing to live under, so it could not have been excessively harsh.
The Songshu also does not defame Tuoba Si as a tyrant, but defames Tuoba Gui and Tuoba Dao as such. If Tuoba Si did use the same cruel punishments as Tuoba Gui, the Songshu would have used it to defame him. Its lack of complaint about Tuoba Si being cruel or tyrannical suggests that Tuoba Si's governance was more benevolent than his father's or his son's.
When the Weishu says that Tuoba Si punished the offenses of the ministers using canings, it records that Tuoba Si was "intelligent in examination" rather than "strict", which indicates that the Weishu saw this aspect of his governance as a positive. It describes Tuoba Si as being lenient and virtuous, so he could not have been too strict himself, which limited how strict those under him could be on average. While it describes Tuoba Si's officials as strictly enforcing laws, the language used is rather oblique and could have a variety of meanings if the words are taken separately.
I think that what Sima Guang meant by 承之 was something like 即位 or 承业, which refers to Tuoba Si succeeding to the throne rather than continuing his father's punishments.
The word "亦" is also a strange choice. Tuoba Gui's magistrate officials were never noted to be strict in his later years. In his later years, the Weishu writes that the laws were damaged and not properly applied, which does not fit a description of a judge that is "深文" which refers to being strict and rigorous in legal matters. The officials are described as not helping to administer the country, being idle and stealing from the people, which means that they were not being strict and rigorous in legal matters and avoiding errors; they were not properly applying laws and making many errors. Perhaps it's meant to be 'again' and is supposed to show Tuoba Si's restoration of order? Or Sima Guang meant 'in addition' and just made an unusual word choice, or he meant 'all'.
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ladynamie · 10 months ago
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Anyway, my master is the only woman I'll ever love. Life is long. Who knows what will happen in the future?
A Journey to Love 一念关山 | Li Tong Guang & Yang Ying
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peachy-runa · 6 months ago
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part 2 of i have come up with the perfect "a journey to love" alternate ending.
9. Yu shisan will admit that he likes chu yue. But, he still doesn't find it right to just... stay. because yu shisan is someone that likes freedom. And he wants to search for his new passion, the one that would make him feels alive eventhough he lose his vision. With that, he and chu yue will go on long distance relationship (cause why not). because chu yue is the main heir of chu family, and she's still li tong guang wife. Also, chu yue is someone thats ambitious, she wants to make sha xi tribe be the most powerful which means that she will be BUSY. that's why, they meet once or two every month!! and then if chu yue is too busy to meet him, she will write him a letter!! The gang will help yu shisan read her letter and write his (with contansly teasing shisan words😂😂)  10. Yuan lu will say goodbye to yang ying... after the war, the two meet. yuan lu didn't confess, he didn't need to. cause both of them know what they feel towards each other. Yuan lu said that in the next life, he would be the first husband, not the back up one. And yuan lu would said that he's so lucky to be alive and see yang ying that is SO pretty in front of him. Yang ying would admit that the only time where she feels like a child is the time that she spent with him. she said that she will not forget about him. she will love him. and when yuan lu told her to not love him cause now she's already have li tong guang, she would said that just like an emperor that have many concubine and love all of them equally, she love him equally as she love li tong guang. (i want to make fanfic for this so please look forward to it :3)   11. Li tong guang would still call ning yuanzhou as his shifu. and ltg will be a great king for an. and he have many people beside him that will love him. and he will try to make a healthy relationship with yang ying. He even made friends with yuan lu!! Yuan lu would said that in the next life, he would be yang ying first husband. that's why ltg should treat yang ying right. and ltg, with his sarcastic tone, would emphasize that NOW he is the one who became ying husband. both of them will laugh and tell each other to stay alive.   12. After the war, the gang (ning, ruyi, qian, yuanlu, sunlang, shisan) will just stay in countryside together (as in they are in one house). Ruyi will be a martial arts teacher. Ning yuanzhou will be a writer and the headmaster! Qian zhou will be a traditional healer. Sun lang would be selling goat, bunny, cat, everything thats furry. Yu shisan will be a painter! and he will remain as the most handsome man in the town. yuan lu will be a technician, he would try to make everything on their home (which makes the house blow up several times, makes yuan zhou stressed as always 😂) and if he's succed, he will give it to six realm. OH! and ding hui (the one from six realm, not the one from crimson guard. the one from crimson guard is deng hui) will be six realm new chief!! 
and THAT'S the happy ending for y'all. thank you.
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movielosophy · 11 months ago
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A Journey To Love | Never thought he'd save his rival.
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eyenaku · 2 years ago
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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
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antmranking · 14 days ago
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Wang Xi Ran
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2. Li Meng Qi
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3. Zhao Jia Tong
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4. Bi Jing
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5. Liu Xin Jie
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6. Ma Meng Jia
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7. Chen Yu Ting
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8. Wang Shu Qi
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9. Na Guang Zi
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10. Sun Chen Min
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11. Wang Meng Ya
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12. Long Jun Jiao
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drmikewatts · 27 days ago
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IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 8, Number 5, October 2024
1)Guest Editorial Special Issue on Resource Sustainable Computational and Artificial Intelligence
Author(s): Joey Tianyi Zhou, Ivor W. Tsang, Yew Soon Ong
Pages: 3196 - 3198
2)Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement
Author(s): Pengfei Zhao, Shuangqi Li, Paul Jen-Hwa Hu, Zhidong Cao, Chenghong Gu, Da Xie, Daniel Dajun Zeng
Pages: 3199 - 3213
3)A Lightweight Recurrent Learning Network for Sustainable Compressed Sensing
Author(s): Yu Zhou, Yu Chen, Xiao Zhang, Pan Lai, Lei Huang, Jianmin Jiang
Pages: 3214 - 3227
4)Reservoir Network With Structural Plasticity for Human Activity Recognition
Author(s): Abdullah M. Zyarah, Alaa M. Abdul-Hadi, Dhireesha Kudithipudi
Pages: 3228 - 3238
5)GLR-SEI: Green and Low Resource Specific Emitter Identification Based on Complex Networks and Fisher Pruning
Author(s): Yun Lin, Haoran Zha, Ya Tu, Sicheng Zhang, Wenjun Yan, Congan Xu
Pages: 3239 - 3250
6)An Intelligent Fuzzy System Based on the Optimization of Ecological Agriculture Areas
Author(s): Xiaozeng Xu, Meng Li
Pages: 3251 - 3262
7)Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling
Author(s): Haofeng Wu, Yaochu Jin, Kailai Gao, Jinliang Ding, Ran Cheng
Pages: 3263 - 3278
8)Convolutional Fuzzy Neural Networks With Random Weights for Image Classification
Author(s): Yifan Wang, Hisao Ishibuchi, Witold Pedrycz, Jihua Zhu, Xiangyong Cao, Jun Wang
Pages: 3279 - 3293
9)Adaptive Strategies and its Application in the Mittag-Leffler Synchronization of Delayed Fractional-Order Complex-Valued Reaction-Diffusion Neural Networks
Author(s): G. Narayanan, M. Syed Ali, Rajagopal Karthikeyan, Grienggrai Rajchakit, Sumaya Sanober, Pankaj Kumar
Pages: 3294 - 3307
10)Augmented Intelligence Based COVID-19 Diagnostics and Deep Feature Categorization Based on Federated Learning
Author(s): Syed Thouheed Ahmed, Vinoth Kumar Venkatesan, Mahesh T R, Roopashree S, Muthukumaran Venkatesan
Pages: 3308 - 3315
11)Jointly Optimized Classifiers for Few-Shot Class-Incremental Learning
Author(s): Sichao Fu, Qinmu Peng, Xiaorui Wang, Yang He, Wenhao Qiu, Bin Zou, Duanquan Xu, Xiao-Yuan Jing, Xinge You
Pages: 3316 - 3326
12)State-Observer-Based Adaptive Fuzzy Event-Triggered Formation Control for Nonlinear Multiagent System
Author(s): Shuai Sui, Dongyu Shen, Shaocheng Tong, C. L. Philip Chen
Pages: 3327 - 3338
13)A Novel Projection Neural Network for Sparse Optimization With L1-Minimization Problem
Author(s): Hongsong Wen, Xing He, Tingwen Huang
Pages: 3339 - 3351
14)Hierarchical Relational Inference for Few-Shot Learning in 3D Left Atrial Segmentation
Author(s): Xuejiao Li, Jun Chen, Heye Zhang, Yongwon Cho, Sung Ho Hwang, Zhifan Gao, Guang Yang
Pages: 3352 - 3367
15)Data-Driven Container Marking Detection and Recognition System With an Open Large-Scale Scene Text Dataset
Author(s): Ying Xu, Zhangzhao Liang, Yanyang Liang, Xinru Li, Wenfeng Pan, Jie You, Zhihao Long, Yikui Zhai, Angelo Genovese, Vincenzo Piuri, Fabio Scotti
Pages: 3368 - 3381
16)Physics-Informed Graph Capsule Generative Autoencoder for Probabilistic AC Optimal Power Flow
Author(s): Mohsen Saffari, Mahdi Khodayar, Mohammad E. Khodayar
Pages: 3382 - 3395
17)Effective Single-Step Adversarial Training With Energy-Based Models
Author(s): Keke Tang, Tianrui Lou, Weilong Peng, Nenglun Chen, Yawen Shi, Wenping Wang
Pages: 3396 - 3407
18)MA-MFCNet: Mixed Attention-Based Multi-Scale Feature Calibration Network for Image Dehazing
Author(s): Luqiao Li, Zhihua Chen, Lei Dai, Ran Li, Bin Sheng
Pages: 3408 - 3421
19)Graph Contrastive Learning for Tracking Dynamic Communities in Temporal Networks
Author(s): Yun Ai, Xianghua Xie, Xiaoke Ma
Pages: 3422 - 3435
20)PV-SSD: A Multi-Modal Point Cloud 3D Object Detector Based on Projection Features and Voxel Features
Author(s): Yongxin Shao, Aihong Tan, Zhetao Sun, Enhui Zheng, Tianhong Yan, Peng Liao
Pages: 3436 - 3449
21)Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning
Author(s): Hui Bai, Ran Cheng
Pages: 3450 - 3462
22)Multi-modal Authentication Model for Occluded Faces in a Challenging Environment
Author(s): Dahye Jeong, Eunbeen Choi, Hyeongjin Ahn, Ester Martinez-Martin, Eunil Park, Angel P. del Pobil
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Pages: 3474 - 3488
24)A Bi-Search Evolutionary Algorithm for High-Dimensional Bi-Objective Feature Selection
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Pages: 3489 - 3502
25)Intensive Class Imbalance Learning in Drifting Data Streams
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Pages: 3503 - 3517
26)Flow-Shop Scheduling Problem With Batch Processing Machines via Deep Reinforcement Learning for Industrial Internet of Things
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Pages: 3518 - 3533
27)Sparse Graph Tensor Learning for Multi-View Spectral Clustering
Author(s): Man-Sheng Chen, Zhi-Yuan Li, Jia-Qi Lin, Chang-Dong Wang, Dong Huang
Pages: 3534 - 3543
28)Alternating-Direction-Method of Multipliers-Based Adaptive Nonnegative Latent Factor Analysis
Author(s): Yurong Zhong, Kechen Liu, Shangce Gao, Xin Luo
Pages: 3544 - 3558
29)Efficient Online Planning and Robust Optimal Control for Nonholonomic Mobile Robot in Unstructured Environments
Author(s): Yingbai Hu, Wei Zhou, Yueyue Liu, Minghao Zeng, Weiping Ding, Shu Li, Guoxin Li, Zheng Li, Alois Knoll
Pages: 3559 - 3575
30)Energy-Efficient and Interpretable Multisensor Human Activity Recognition via Deep Fused Lasso Net
Author(s): Yu Zhou, Jingtao Xie, Xiao Zhang, Wenhui Wu, Sam Kwong
Pages: 3576 - 3588
31)A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions
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Pages: 3589 - 3602
32)Efficient Processing of Spiking Neural Networks via Task Specialization
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Pages: 3603 - 3613
33)Multi-Relation Augmentation for Graph Neural Networks
Author(s): Shunxin Xiao, Huibin Lin, Jianwen Wang, Xiaolong Qin, Shiping Wang
Pages: 3614 - 3627
34)Robust Evolving Fuzzy Classifier Integrating Noise Smoothing and Soft Dimension Reduction
Author(s): Edwin Lughofer, Igor Škrjanc
Pages: 3628 - 3642
35)Co-Occurrence Relationship Driven Hierarchical Attention Network for Brain CT Report Generation
Author(s): Xiaodan Zhang, Shixin Dou, Junzhong Ji, Ying Liu, Zheng Wang
Pages: 3643 - 3653
36)Adversarial Examples Detection With Bayesian Neural Network
Author(s): Yao Li, Tongyi Tang, Cho-Jui Hsieh, Thomas C. M. Lee
Pages: 3654 - 3664
37)From Concept to Instance: Hierarchical Reinforced Knowledge Graph Reasoning
Author(s): Cheng Yan, Feng Zhao, Yudong Zhang
Pages: 3665 - 3677
38)FedSG: A Personalized Subgraph Federated Learning Framework on Multiple Non-IID Graphs
Author(s): Yingcheng Wang, Songtao Guo, Dewen Qiao, Guiyan Liu, Mingyan Li
Pages: 3678 - 3690
39)PATReId: Pose Apprise Transformer Network for Vehicle Re-Identification
Author(s): Rishi Kishore, Nazia Aslam, Maheshkumar H. Kolekar
Pages: 3691 - 3702
40)Predicting Citywide Crowd Flows in Critical Areas Based on Dynamic Spatio-Temporal Network
Author(s): Heli Sun, Ruirui Xue, Tingting Hu, Tengfei Pan, Liang He, Yuan Rao, Zhi Wang, Yingxue Wang, Yuan Chen, Hui He
Pages: 3703 - 3715
41)MFLink: User Identity Linkage Across Online Social Networks via Multimodal Fusion and Adversarial Learning
Author(s): Shudong Li, Danna Lu, Qing Li, Xiaobo Wu, Shumei Li, Zhen Wang
Pages: 3716 - 3725
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