#guo wentao

[potahun]

Wen Tao’s version of He Meinan had no pity like 

1. Talking about the kidney transplant

Pu Yixing (as Sa Weixiao): I thought our relationship couldn’t get any closer. But we’ve now arrived at a stage where there’s you in me, and me in you.

Wen Tao, very categorically (as He Meinan) : There’s no you in me.

--

2. Once everything blows:

- He Jiong’s version actually gives Sa Beining a hug

- Wen Tao’s version:

WT : That knife wound was worth it!

[myhamartiaishubris]

worst thing about tumblr is the lack of chinese variety show fandom. yeah yeah c-dramas and actors but what about the mango tv stuff. what about detective academy. who can i talk to about my massive crush on guo wentao and pu yixing and qi sijun and zhou junwei and

[drmikewatts]

Complex & Intelligent Systems. Volume 10, Issue 6, December 2024

1) PD-DETR: towards efficient parallel hybrid matching with transformer for photovoltaic cell defects detection

Author(s): Langyue Zhao, Yiquan Wu, Yubin Yuan

Pages: 7421 - 7434

2) Intelligent bulk cargo terminal scheduling based on a novel chaotic-optimal thermodynamic evolutionary algorithm

Author(s): Shida Liu, Qingsheng Liu, Xianlong Chen

Pages: 7435 - 7450

3) Smart calibration and monitoring: leveraging artificial intelligence to improve MEMS-based inertial sensor calibration

Author(s): Itilekha Podder, Tamas Fischl, Udo Bub

Pages: 7451 - 7474

4) Identification of switched gated recurrent unit neural networks with a generalized Gaussian distribution

Author(s): Wentao Bai, Fan Guo, Haoyu Zhang

Pages: 7475 - 7485

5) Attention-guided mask learning for self-supervised 3D action recognition

Author(s): Haoyuan Zhang

Pages: 7487 - 7496

6) Bi-HS-RRT: an efficient sampling-based motion planning algorithm for unknown dynamic environments

Author(s): Longjie Liao, Qimin Xu, Xixiang Liu

Pages: 7497 - 7512

7) Predictive air combat decision model with segmented reward allocation

Author(s): Yundi Li, Yinlong Yuan, Liang Hua

Pages: 7513 - 7530

8) Feature selection for hybrid information systems based on fuzzy covering and fuzzy evidence theory

Author(s): Xiaoqin Ma, Huanhuan Hu, Yi Xu

Pages: 7531 - 7552

9) MPOCSR: optical chemical structure recognition based on multi-path Vision Transformer

Author(s): Fan Lin, Jianhua Li

Pages: 7553 - 7563

10) TCohPrompt: task-coherent prompt-oriented fine-tuning for relation extraction

Author(s): Jun Long, Zhuoying Yin, Wenti Huang

Pages: 7565 - 7575

11) nHi-SEGA: n-Hierarchy SEmantic Guided Attention for few-shot learning

Author(s): Xinpan Yuan, Shaojun Xie, Luda Wang

Pages: 7577 - 7589

12) Incorporating long-tail data in complex backgrounds for visual surface defect detection in PCBs

Author(s): Liying Zhu, Sen Wang, Xuangang Li

Pages: 7591 - 7604

13) Leveraging hybrid 1D-CNN and RNN approach for classification of brain cancer gene expression

Author(s): Heba M. Afify, Kamel K. Mohammed, Aboul Ella Hassanien

Pages: 7605 - 7617

14) Rdfinet: reference-guided directional diverse face inpainting network

Author(s): Qingyang Chen, Zhengping Qiang, Fei Dai

Pages: 7619 - 7630

15) A counterfactual explanation method based on modified group influence function for recommendation

Author(s): Yupu Guo, Fei Cai, Xin Zhang

Pages: 7631 - 7643

16) PPSO and Bayesian game for intrusion detection in WSN from a macro perspective

Author(s): Ning Liu, Shangkun Liu, Wei-Min Zheng

Pages: 7645 - 7659

17) Incomplete multi-view partial multi-label classification via deep semantic structure preservation

Author(s): Chaoran Li, Xiyin Wu, Xiaohuan Lu

Pages: 7661 - 7679

18) CL-fusionBEV: 3D object detection method with camera-LiDAR fusion in Bird’s Eye View

Author(s): Peicheng Shi, Zhiqiang Liu, Aixi Yang

Pages: 7681 - 7696

19) Negation of permutation mass function in random permutation sets theory for uncertain information modeling

Author(s): Yongchuan Tang, Rongfei Li, Yubo Huang

Pages: 7697 - 7709

20) Adaptive multi-stage evolutionary search for constrained multi-objective optimization

Author(s): Huiting Li, Yaochu Jin, Ran Cheng

Pages: 7711 - 7740

21) A FDA-based multi-robot cooperation algorithm for multi-target searching in unknown environments

Author(s): Wenwen Ye, Jia Cai, Shengping Li

Pages: 7741 - 7764

22) Latent-SDE: guiding stochastic differential equations in latent space for unpaired image-to-image translation

Author(s): Xianjie Zhang, Min Li, Yusen Zhang

Pages: 7765 - 7775

23) Self-selective receptive field network for person re-identification

Author(s): Shaoqi Hou, Xueting liu, Zhiguo Wang

Pages: 7777 - 7797

24) HSC: a multi-hierarchy descriptor for loop closure detection in overhead occlusion scenes

Author(s): Weilong Lv, Wei Zhou, Gang Wang

Pages: 7799 - 7823

25) HRDLNet: a semantic segmentation network with high resolution representation for urban street view images

Author(s): Wenyi Chen, Zongcheng Miao, Guokai Shi

Pages: 7825 - 7844

26) A learning-based model predictive control scheme for injection speed tracking in injection molding process

Author(s): Zhigang Ren, Jianpu Cai, Zongze Wu

Pages: 7845 - 7861

27) A novel iteration scheme with conjugate gradient for faster pruning on transformer models

Author(s): Jun Li, Yuchen Zhu, Kexue Sun

Pages: 7863 - 7875

28) An improved cross-domain sequential recommendation model based on intra-domain and inter-domain contrastive learning

Author(s): Jianjun Ni, Tong Shen, Yang Gu

Pages: 7877 - 7892

29) Segmentation-aware relational graph convolutional network with multi-layer CRF for nested named entity recognition

Author(s): Daojun Han, Zemin Wang, Juntao Zhang

Pages: 7893 - 7905

30) DCASAM: advancing aspect-based sentiment analysis through a deep context-aware sentiment analysis model

Author(s): Xiangkui Jiang, Binglong Ren, Hong Li

Pages: 7907 - 7926

31) Repmono: a lightweight self-supervised monocular depth estimation architecture for high-speed inference

Author(s): Guowei Zhang, Xincheng Tang, Shangfeng Jiang

Pages: 7927 - 7941

32) Generalized spatial–temporal regression graph convolutional transformer for traffic forecasting

Author(s): Lang Xiong, Liyun Su, Feng Zhao

Pages: 7943 - 7964

33) Integration of attention mechanism and CNN-BiGRU for TDOA/FDOA collaborative mobile underwater multi-scene localization algorithm

Author(s): Duo Peng, Ming Shuo Liu, Kun Xie

Pages: 7965 - 7986

34) Optimizing long-short term memory neural networks for electroencephalogram anomaly detection using variable neighborhood search with dynamic strategy change

Author(s): Branislav Radomirovic, Nebojsa Bacanin, Miodrag Zivkovic

Pages: 7987 - 8009

35) A teacher-guided early-learning method for medical image segmentation from noisy labels

Author(s): Shangkun Liu, Minghao Zou, Weimin Zheng

Pages: 8011 - 8026

36) Online optimal tracking control of unknown nonlinear singularly perturbed systems using single network adaptive critic with improved learning

Author(s): Zhijun Fu, Bao Ma, Yuming Yin

Pages: 8027 - 8041

37) A multi-level collaborative self-distillation learning for improving adaptive inference efficiency

Author(s): Likun Zhang, Jinbao Li, Yahong Guo

Pages: 8043 - 8061

38) Swarm mutual learning

Author(s): Kang Haiyan, Wang Jiakang

Pages: 8063 - 8077

39) Real-time vision-inertial landing navigation for fixed-wing aircraft with CFC-CKF

Author(s): Guanfeng Yu, Lei Zhang, Zhengjun Zhai

Pages: 8079 - 8093

40) MFPIDet: improved YOLOV7 architecture based on multi-scale feature fusion for prohibited item detection in complex environment

Author(s): Lang Zhang, Zhan Ao Huang, Xi Wu

Pages: 8095 - 8108

41) A novel local feature fusion architecture for wind turbine pitch fault diagnosis with redundant feature screening

Author(s): Chuanbo Wen, Xianbin Wu, Junjie Yang

Pages: 8109 - 8125

42) Location-routing optimization of UAV collaborative blood delivery vehicle distribution on complex roads

Author(s): Zhiyi Meng, Ke Yu, Rui Qiu

Pages: 8127 - 8141

43) SDGSA: a lightweight shallow dual-group symmetric attention network for micro-expression recognition

Author(s): Zhengyang Yu, Xiaojuan Chen, Chang Qu

Pages: 8143 - 8162

44) POI recommendation by deep neural matrix factorization integrated attention-aware meta-paths

Author(s): Xiaoyan Li, Shenghua Xu, Xuan He

Pages: 8163 - 8177

45) TARGCN: temporal attention recurrent graph convolutional neural network for traffic prediction

Author(s): He Yang, Cong Jiang, Xinke Bai

Pages: 8179 - 8196

46) Molecular subgraph representation learning based on spatial structure transformer

Author(s): Shaoguang Zhang, Jianguang Lu, Xianghong Tang

Pages: 8197 - 8212

47) TSKPD: twin structure key point detection in point cloud

Author(s): Yangyue Feng, Xiaokang Yang, Jinfang Jin

Pages: 8213 - 8231

48) A hybrid neural combinatorial optimization framework assisted by automated algorithm design

Author(s): Liang Ma, Xingxing Hao, Li Chen

Pages: 8233 - 8247

49) Hybrid attentive prototypical network for few-shot action recognition

Author(s): Zanxi Ruan, Yingmei Wei, Yuxiang Xie

Pages: 8249 - 8272

50) GVP-RRT: a grid based variable probability Rapidly-exploring Random Tree algorithm for AGV path planning

Author(s): Yaozhe Zhou, Yujun Lu, Liye Lv

Pages: 8273 - 8286

51) A general supply-inspect cost framework to regulate the reliability-usability trade-offs for few-shot inference

Author(s): Fernando Martínez-Plumed, Gonzalo Jaimovitch-López, José Hernández-Orallo

Pages: 8287 - 8317

52) A DQN based approach for large-scale EVs charging scheduling

Author(s): Yingnan Han, Tianyang Li, Qingzhu Wang

Pages: 8319 - 8339

53) Adaptive dynamic programming-based multi-fault tolerant control of reconfigurable manipulator with input constraint

Author(s): Zhenguo Zhang, Tianhao Ma, Fan Zhou

Pages: 8341 - 8353

54) Accuracy is not enough: a heterogeneous ensemble model versus FGSM attack

Author(s): Reham A. Elsheikh, M. A. Mohamed, Mohamed Maher Ata

Pages: 8355 - 8382

55) Graph convolutional networks with the self-attention mechanism for adaptive influence maximization in social networks

Author(s): Jianxin Tang, Shihui Song, Jitao Qu

Pages: 8383 - 8401

56) Enhanced EDAS methodology for multiple-criteria group decision analysis utilizing linguistic q-rung orthopair fuzzy hamacher aggregation operators

Author(s): Jawad Ali, Waqas Ali, Muhammad I. Syam

Pages: 8403 - 8432

57) Integration of a novel 3D chaotic map with ELSS and novel cross-border pixel exchange strategy for secure image communication

Author(s): Sajid Khan, Hao Peng, Namra Mukhtar

Pages: 8433 - 8465

58) SAGB: self-attention with gate and BiGRU network for intrusion detection

Author(s): Zhanhui Hu, Guangzhong Liu, Siqing Zhuang

Pages: 8467 - 8479

59) A collision-free transition path planning method for placement robots in complex environments

Author(s): Yanzhe Wang, Qian Yang, Weiwei Qu

Pages: 8481 - 8500

60) A spherical Z-number multi-attribute group decision making model based on the prospect theory and GLDS method

Author(s): Meiqin Wu, Sining Ma, Jianping Fan

Pages: 8501 - 8524

[praetor-canis]

I got tagged by @wingletblackbird to list 5 TV shows that make me feel better and then tag 10 blogs. I know it’s been a while, but I wasn’t very active on Tumblr during the past few weeks. Huh, the majority of the shows I have in mind are actually in Chinese. Probably nothing of value here if you want to check out something new to watch

1. The Mandalorian

2. Street Food on Netflix

3. Round Table Party

(Note: interview show with host Dou Wentao, in which the guests and host sit around and talk about everything around a pot of tea or alcohol)

4. DeYun Comedy Clash:

(Note: I need to say something more about this series. This is a reality show that recently came out on Tencent featuring the DeYun Crosstalk Company. The contestants are all apprentices of the comedian Guo Degang, who competes in games and crosstalk performances. One of the few fields in modern China that still maintain apprenticeships are the traditional arts. And the master-apprentice interactions in this show is priceless. It’s very satisfying to see them doing well despite lack of theater performances during the COVID-19 lockdown.)

5. Joy of Life

(Note: weird little time travel/historic fiction/sci-fi/comedy/Wuxia show. I never thought these genre could be put together. First season is on YouTube with English subs, check it out if you’re curious)

Tag: I get the feeling everyone I know has already been tagged by someone else at this point. So whoever reads this and wants to play, I guess.

[potahun]

Watching a bit of S6E1 and :oooo im shocked

[potahun]

Personal Top 5 Episodes of S6 Who’s the Murderer?

I have finally managed to do a ranking of favorite eps in S6 of MXDZT. It’s the 1st season that I followed as it aired, so perhaps that influenced how I feel, but honestly I loved the entire season. Still, I definitely liked some eps more than others, so without further ado:

5. S6E6: The Mysterious Tribe

I honestly had many doubts about this premise, but it turned out to be imaginative, out-of-the-box, subversive, thought-provoking and fun. Detectives are Sa Beining and Li Jin Ye (from an Exciting Offer2). Suspects: He Jiong, Wei Daxun, Jin Jing, Wei Chen and Wu Xin. Premise: A prehistoric, matriarchal tribe struck by famine gets visited by two men from a neighboring tribe. Murder ensues.

In the beginning, you’re not too sure how this thing is gonna go, and then as the story progresses, everything gets better and better, but also wilder and wilder. Half-way through the case, you think the production team’s either high or a genius, or both. 9/10.

4. S6E5: “Forgetting Concerns” Grocery Store

This ep’s not as hilarious as some others, but it more than makes up for it in emotion and depth. Wei Chen is Detective, along with He Yunchen (from an Exciting Offer1). Suspects: Sa Beining, He Jiong, Da Zhangwei, Wu Xin, Zhang Xincheng. Premise: The village of “Forgetting Concerns” is known for its hot springs and a mysterious letter box, which will respond with solutions to any of your worries. The owner of a hotel in the village comes back for a visit. Murder ensues.

This ep dealt with depression and suicide (trigger warnings). It is warm, emotional, original and still has its own moments of hilarity and laughter in spite of it all. Great case and great cast. 9/10.

3. S6E9: It’s still ‘Beauty is to Blame’

A super complex case made of smart plot points, great theme and a dash of crack. Detective Qi Wei, and Pu Yixing (aka Xiao Pu, aka MVPPP). Suspects: He Jiong, Sa Beining, Yang Rong, Wei Chen, Wei Daxun, and Qi Wei. Premise: A detective goes to investigate a famous clinic for plastic surgery, and finds a dissolved corpse in a tank, along with the fact that the clinic is waaaay dodgier than first expected.

Most complex case of the whole season, almost too complex, but it gets saved by how riveting it is and by the cast chemistry, which makes for endless hilarity. The ep explores society’s obsession with beauty. I give it 9.4/10, because I loved it thoroughly, but wouldn’t watch it on a day where I'm tired.

2. S6E10: NZND “Ding Niu” Concert

Of course the NZND episode has to make the ranking...of course it has to. Each time NZND makes a comeback, it’s pure crack, and this is genuinely my favorite NZND of all... Wu Xin is Detective with He Yunchen. Suspects: He Jiong, Sa Beining, Bai Jingting, Zhang Xincheng, Da Zhangwei. Premise: former top boyband NZND makes a comeback concert to select their next generation boyband, and of course, murder ensues.

Some incredible plot twists, stellar jokes and a story that somehow makes perfect sense despite being concentrated crack. Shuang Bei and Bai Sa are out to kill. Amazing ep. 12/10. 

Finally:

1. S6E1: Midnight Hotel, Part I

I actually want to rate this ep. 20/10 because I just love it so much and I think I’ve watched it at least 3 times in full already... This is the only set of episodes in S6 filmed outside the studio and on location, and they rly outdid themselves on the set (not only aesthetically. srsly). Detectives are Sa Beining and Pu Yixing. Suspects: He Jiong, Bai Jingting, Yang Rong, Liu Haoran and Zhang Ruoyun. 

Premise: A private detective goes to stay the night in a remote grand hotel with his grandson and his grandson’s disciple. In this mysterious hotel that goes on curfew and lockdown at midnight because of strange sounds in the night, murder ensues. 

I cannot stress how much I love this ep. Other than the cast’s incredible chemistry and the set, the plot and its delivery are also brilliant. On-location cases like S6E1-S6E2 are great because it’s always 1 ep to solve a first murder, and then the 2nd ep to solve the mystery behind the place. S6E2 is heavy and needs multiple trigger warnings. S6E1 is lighter and a blast. It’s a cast of old players who push each others’ buttons, delving in a plot that allows them to do just that. Also, this ep will make anyone love the Sa-Pu master&disciple combo, and the ending of the ep should be immortalised. So: best case, best cast. 20/10 I love it to the moon and back. 

[potahun]

Show Rec: Great Escape 2 Master Ver. (2020)

Synopsis: If you’ve seen the variety show called “Great Escape”, you know it consists of 5 celebrities (Yang Mi, Justin Huang, Deng Lun, Da Zhangwei, Guo Qilin) who get dropped into an intricate escape room each ep and have to break out by solving puzzles, complete challenges, and piecing together the story behind the rooms (no time limit). This is the “Master” version, in which the cast is composed of (mostly) top students who “test” out the escape rooms by playing it in advance of the celebrities team. 

Why watch it? 

Short answer: The fun, the moments of brilliance, the suspense, the wholesomeness and the hilarity. Watch it!

Long answer:

1. THE ROOMS!  

Each room is a complex and comes with a theme + a mystery that the players have to uncover together, making the process fun in itself. Some rooms even include horror elements. In the 1st ep, the players act as teachers searching for a student who mysteriously stopped coming to school. The child’s mother has died and only a nanny seems to be in the house. What happened? 

2. THE CAST!!!!!!

As mentioned the “Master” ver. is only a “test”, as the cast plays the escape rooms in advance of the celebrities, so that the production team can make adjustments if needed. Accordingly, the “Master” cast is composed of widely unknown people. So why was it made into its own show and called the “Master” version? 

Because the cast is absolutely brilliant. The team of 6 in any ep rotates between a list of young people with (mostly) impressive academic records:

Pu Yixing: also known as “A Pu”. “Tank” of the group. All-round capable player. Pro of thinking outside the box / finding loopholes to escape. Quirky af. Chill af. Has enough guts for the whole team (When A Pu is here, never fear)

Qi Si Jun: Mom friend of the group. A new generation MC with EQ off the charts. Literally makes anyone feel comfortable within a three-mile radius.  Big Hufflepuff energy. Just the warmest and nicest. 

Huo Shu: Doctorate and engineer friend of the group. Will dismantle any prop he needs to serve escape purposes. Pu Yixing finds loopholes; Huo Shu invents tools to get them out in the most unconventional ways. Also in charge of screaming.

Zhou Junwei: Psychology major (I believe). Can do as much brain work as physical work (srsly what can’t he do). 2nd mom friend, but in the ‘I was sports team captain all my school life and it shows’ way. Born in 1995 but is somehow already married. 

Tang Jiuzhou: One of the didi of the group. In charge of 1000watt smiles, great mood and admiring the bros. "My brain’s not good~!” but solves all the puzzles. Optimistic sunshine boy. I want to see him grow healthily.

Shao Mingming: Precious scorpio boy. One of the only ones without an intimidating academic record. His sass can move mountains. Ultimate cheerleader. Will make you laugh and love him and also respect him. A screamer.

Guo Wentao: Graduate from Bei Da. Quieter than Pu Yixing (how is it possible?). Takes everything seriously and diligently. Will never back down in front of responsibilities.

Shi Kai: Was a contestant in Super Vocal. Now mostly in charge of physical prowess and being great because he’s Shi Kai. Has sass in impressive amounts (but less than Shao MingMing)

Shao Bangzhu and JY: Less present, no less likeable. 

The teamwork between these kids is...seamless. It’s not just about chemistry, which they have in heaps: each of them’s just rly good at teamwork! No one tries to be the best or looks down on anyone, everyone cheers for and takes care of everyone. Riddles? They got brains to power through at light speed. Physical tasks? Can’t stop them:

Most importantly, their dynamics are adorable and hilarious. They may not be celebrities but their sense of variety can rival celebrities 100%. In fact, they’re perhaps even more spontaneous! Add this to the wholesome team spirit and it’s pure serotonin. How to not love them?

3. THE PACING!

This is a low time-investment show because, as said, the teams just...power through. No one lingers on purpose to make the ep. more “entertaining”. Each ep is only 40mins-1hr long, and in that time, you’ve had time to cheer at the brains, laugh at their antics, and coo at the organic teamwork. You’ve also uncovered a mystery, enjoyed some puzzles and felt like you used your brain a bit. All-win!

The only downside: ...It has no subs. S2 is available in full on YT (Link to Ep.1) but so far, no subs. For the riddles and stories, the celebrity ver. is subbed, so cross-checking helps, but I do prefer the “Master” ver. by a landslide. Not having subs means many puns & references go down the drain, but it’s probably still a fun watch, if only for the situational comedy, contagious laughter, some self-explanatory stuff, and their charming personalities.

Conclusion: Great Escape “Master” Ver. is an underrated gem with a brilliant, unconventional and loveable cast, and great stories...Great Escape pretty much goes unseen here, and the “Master” ver. is even more of an undiscovered treasure. Give it a chance!

[potahun]

Full Cast! The Detective College kids in S4E1

it’s time to go treasure-hunting!

[potahun]

The difference in how Shi Kai treats each of the Nan Bei elder bros and vice versa ...

Pu Yixing as an elder bro to Shi Kai: lets him find his own way independently. Is the silent but chill big bro who leads by example. Will retort if challenged by the little one and will tease occasionally but is otherwise mainly minding his own business. Treats Shi Kai as an equal

Wen Tao as an elder bro to Shi Kai: teases little bro a lot but spoils him in equal amount. The motherly big bro vibe: “gege will help you do it” “gege will protect you”. Still tricks him when it comes down to it (wen tao why u always lying)

Shi Kai to Pu Yixing: Respects him but will also want to look independent in front of him. ‘Okay i might not win against you but i wont lose either!’ vibes. Wont readily ask for help. Major trust issues (pu yixing why r u so good at lying).

Shi Kai to Wen Tao: Clingy. Teases a lot. Grows from “Wen Tao doesnt know how to lie” to “I wont trust anything that Wen Tao says anymore”. STILL ends up trusting him at crucial moments anyway. Lots of flirty comments???? “Tao Tao”. CLINGY.

[potahun]

OKAY

Fave bits from S4E9:

Qi Sijun: “I want to wish Wen Tao happy birthday”. *turns to Wen Tao like he’s gonna gift the binoculars to him. “Happy Birthday”.  *leaves with binoculars* 

WT, holding the box: “It’s too light. Can’t be a gold bar”.

QI SIJUN. TIED TO THE KITCHEN. AGAIN.

Shi Kai eating vegetables straight off the field like...please Shi Kai. How many health warnings do you need.

Cao Enqi and Qi Sijun both looking themselves up on Weibo: QSJ: “I had a new show and wanted to check the feedback”. CEQ: “I just do it out of habit”. PYX: “You can’t say that, if you say that you lose to him”

Cao Enqi admitting he looked Wen Tao up on Weibo to see his bday wishes. PYX: “He’s checking the feedback on Wen Tao.”

LYT: “After eating, you want to do sports, right?” QSJ: “You don’t understand us very well.” SK: “We don’t want to move at all. We want to lie down”.

Wen Tao wall climbing while Shi Kai is absolutely Not Calm on the ground.

The “that’s it?” moment after He Yunchen reached the top in 2+ mins.

Cao Enqi’s loudest sighs during wall climbing and everyone trying not to laugh

Kai Kai getting pretty much YANKED up the wall in the beginning. 

The hug A Pu gives Xiao Qi. Xiao Qi hanging onto it for just a second before his professionalism kicks in and he starts smiling again

Cao Enqi inadvertently locking himself and Qi Sijun together, and the whole convo that ensued ksdaljksjdlksj

Shi Kai’s tiny sounds of not knowing what to respond to Wen Tao’s questioning, but not wanting to show any weakness, when they were talking on the beds (most didi to ever didi)

Sharing clues!! Sharing clues honestly!! BEFORE BETRAYING EACH OTHER. JUST LIKE THAT

“We must be thinking the same thing, huh?” “Un.” 

Qi Sijun sings a well-known classic. I did not recognise the classic until they played the original right after his singing

[potahun]

That cliffhanger at the end of S4E3 .... Detective College youre really evolving as a show ...i never thought one day this show out of all shows would actually have a cliffhanger with actual suspense

[potahun]

Yep okay this is going to be the season of Shi Kai + Wen Tao. I am feeling it.

[myhamartiaishubris]

Ok, here is M's Incomplete List Of Mango TV Recs

Who's The Murderer 大侦探 (formerly 明星大侦探): The OG. A detective, a murder victim, and five suspects. I think it was based on a Korean show? Main cast is He Jiong, Sa Beining (up until ~season 6), Bai Jingting for early seasons, Zhang Ruoyun, Wang Ou, and a bunch of rotating cast members. In season 4 they introduced the Detective's Assistant, which brings me to:

Detective Academy 名侦探学院: Started as a way to pick detective's assistants, and now is just a group game show. Everyone on here is non-celebrity, although a few are hosts/actors/singers. They've since gotten famous, but it started as a "regular person" / 素人 show. I'm obsessed with every single one of them. They're all, like, attractive in a nerdy way. Once you've seen Guo Wentao win a riddle game in 30 seconds, there's no going back.

Great Escape 密室大逃脱: To be honest I haven't seen much of this one. Similar to Who's The Murderer, except it's celebrities in an escape room instead of a murder mystery. Featuring Yang Mi, Justin Huang, and a rotating cast.

Great Escape Master Version 密室大逃脱大神版: The premise is they get people to "playtest" the escape rooms before rolling them out, so it's the same puzzles as Great Escape but a different (smarter but less famous) cast. There's a lot of overlap in this cast with Detective Academy.

Forest Evolutionism 森林进化论: Mind games. It's a specific game they play but it's way too complicated to explain here. Roughly same cast as Detective Academy/Master Version.

Werewolf 狼人杀: I'm cheating here, because this isn't a Mango TV show, and technically isn't even a single show so much as a specific subgenre. You might have a hard time following if you're not familiar with the specific set of Chinese Werewolf rules, and it's just 12 people sitting around a table so it's not as produced as the Mango TV stuff, but it's still fun to put it on and listen to. If you want to dip your toes into this particular genre of game, Detective Academy plays it a few times.

There's also a bunch of Mango TV non-mystery stuff, usually involving the Detective Academy cast. Sometimes they just hang out, which is nice. And of course there's a ton of generic variety shows too, a la Hello Saturday or Ace vs Ace. There have also been other mystery shows popping up with the rise of popularity, but tbh it's way too many for me to keep track of. I've probably watched an episode of each one, but not enough to say anything intelligent.

worst thing about tumblr is the lack of chinese variety show fandom. yeah yeah c-dramas and actors but what about the mango tv stuff. what about detective academy. who can i talk to about my massive crush on guo wentao and pu yixing and qi sijun and zhou junwei and