| 🥇 | Jiawei Han 韩家炜 | UIUC | Data Mining, Databases | 168 | 200K | 1.0K | 🇺🇸 |
| 🥈 | Andrew Ng 吴恩达 | Stanford University / DeepLearning.AI | Machine Learning, Deep Learning, AI Education | 167 | 312K | 580 | 🇺🇸 |
| 🥉 | Philip S. Yu 俞士纶 | UIC | Data Mining, Graph Learning | 155 | 150K | 1.3K | 🇺🇸 |
| 4 | Fei-Fei Li 李飞飞 | Stanford University | Computer Vision, AI | 152 | 290K | 520 | 🇺🇸 |
| 5 | Kaiming He 何恺明 | MIT | Computer Vision, Deep Learning | 138 | 350K | 180 | 🇺🇸 |
| 6 | Xiaoou Tang 汤晓鸥 | CUHK / SenseTime (deceased) | Computer Vision | 120 | 110K | 400 | 🇭🇰 |
| 7 | Dacheng Tao 陶大程 | NTU Singapore | Machine Learning, Computer Vision | 120 | 95K | 800 | 🇸🇬 |
| 8 | Jure Leskovec 莱斯科维奇 | Stanford University | Graph Neural Networks, Social Networks | 120 | 150K | 500 | 🇺🇸 |
| 9 | Jian Sun 孙剑 | Megvii Research (deceased) | Computer Vision | 110 | 200K | 250 | 🇨🇳 |
| 10 | Shuicheng Yan 颜水成 | Kunlun 2050 Research | Machine Learning, Computer Vision | 105 | 80K | 600 | 🇸🇬 |
| 11 | Ming-Hsuan Yang 杨明轩 | UC Merced / Google | Computer Vision, Tracking | 98 | 75K | 380 | 🇺🇸 |
| 12 | Jianfeng Gao 高剑峰 | Microsoft Research | NLP, Deep Learning | 98 | 75K | 400 | 🇺🇸 |
| 13 | Xiaogang Wang 王晓刚 | CUHK | Computer Vision | 95 | 85K | 320 | 🇭🇰 |
| 14 | Zhihua Zhou 周志华 | Nanjing University | Machine Learning | 95 | 65K | 400 | 🇨🇳 |
| 15 | Wen Gao 高文 | Peking University | Video Coding, Multimedia | 95 | 35K | 600 | 🇨🇳 |
| 16 | Charu Aggarwal 查鲁 | IBM Research (retired) | Data Mining, NLP | 95 | 50K | 400 | 🇺🇸 |
| 17 | Harry Shum 沈向洋 | HKUST / Former Microsoft | Computer Vision, AI | 92 | 50K | 300 | 🇨🇳 |
| 18 | Lei Zhang 张磊 | Microsoft Research Asia | Computer Vision, Image Processing | 92 | 55K | 400 | 🇨🇳 |
| 19 | Jian Pei 裴健 | Duke University | Data Mining | 92 | 60K | 350 | 🇺🇸 |
| 20 | Tong Zhang 张潼 | HKUST / UIUC | Machine Learning Theory, Optimization | 88 | 55K | 350 | 🇭🇰 |
| 21 | Tieniu Tan 谭铁牛 | Chinese Academy of Sciences | Biometrics, Pattern Recognition | 88 | 35K | 500 | 🇨🇳 |
| 22 | Huan Liu 刘欢 | Arizona State University | Data Mining, Social Media | 88 | 45K | 500 | 🇺🇸 |
| 23 | Weinan E 鄂维南 | Peking University / Princeton | Machine Learning, Applied Math | 85 | 50K | 350 | 🇨🇳 |
| 24 | Zhi-Quan Luo 罗智泉 | CUHK-Shenzhen | Optimization, Signal Processing | 85 | 40K | 300 | 🇨🇳 |
| 25 | Jiaya Jia 贾佳亚 | CUHK / SmartMore | Computer Vision, Image Processing | 82 | 42K | 280 | 🇭🇰 |
| 26 | Hang Li 李航 | ByteDance AI Lab | NLP, Information Retrieval | 82 | 45K | 350 | 🇨🇳 |
| 27 | Bin Yu 余斌 | UC Berkeley | Statistics, Machine Learning | 82 | 40K | 250 | 🇺🇸 |
| 28 | Bo Zhang 张钹 | Tsinghua University | AI, Pattern Recognition | 82 | 25K | 500 | 🇨🇳 |
| 29 | Songchun Zhu 朱松纯 | Peking University / UCLA | Computer Vision, Cognitive AI | 82 | 30K | 350 | 🇨🇳 |
| 30 | Jiebo Luo 罗杰波 | University of Rochester | Computer Vision, Social Media | 82 | 30K | 500 | 🇺🇸 |
| 31 | Qi Tian 田奇 | Huawei Cloud | Computer Vision, Retrieval | 82 | 30K | 500 | 🇨🇳 |
| 32 | Stan Z. Li 李子青 | Westlake University | Face Recognition, Biometrics | 82 | 35K | 400 | 🇨🇳 |
| 33 | Ling Shao 邵岭 | IIAI / Inception Institute | Computer Vision | 82 | 30K | 500 | 🇬🇧 |
| 34 | Chen Change Loy 吕健勤 | NTU Singapore | Computer Vision, Super Resolution | 78 | 50K | 300 | 🇸🇬 |
| 35 | Chunhua Shen 沈春华 | Zhejiang University | Computer Vision | 78 | 38K | 300 | 🇨🇳 |
| 36 | Jie Tang 唐杰 | Tsinghua University | Data Mining, Social Networks, NLP | 78 | 38K | 400 | 🇨🇳 |
| 37 | Wangmeng Zuo 左旺孟 | Harbin Institute of Technology | Computer Vision | 78 | 40K | 300 | 🇨🇳 |
| 38 | Dong Xu 徐东 | University of Hong Kong | Transfer Learning, Computer Vision | 78 | 30K | 350 | 🇭🇰 |
| 39 | Wanli Ouyang 欧阳万里 | Shanghai AI Lab | Computer Vision | 75 | 40K | 280 | 🇨🇳 |
| 40 | Ming Zhou 周明 | Lanma Technology / Former MSRA | NLP, Machine Translation | 75 | 30K | 350 | 🇨🇳 |
| 41 | Hongjiang Zhang 张宏江 | Source Code Capital | Multimedia, AI | 75 | 30K | 300 | 🇨🇳 |
| 42 | Xilin Chen 陈熙霖 | Chinese Academy of Sciences | Computer Vision, Multimedia | 75 | 25K | 400 | 🇨🇳 |
| 43 | Dahua Lin 林达华 | CUHK / Shanghai AI Lab | Computer Vision | 72 | 48K | 250 | 🇭🇰 |
| 44 | Heng Ji 季恒 | UIUC | NLP, Information Extraction | 72 | 28K | 400 | 🇺🇸 |
| 45 | Zhouchen Lin 林宙辰 | Peking University | Machine Learning, Optimization | 72 | 30K | 300 | 🇨🇳 |
| 46 | Le Song 宋乐 | MBZUAI / Georgia Tech | Machine Learning, Kernel Methods | 72 | 30K | 280 | 🇺🇸 |
| 47 | Yi Ma 马毅 | UC Berkeley / HKU | Machine Learning, Computer Vision | 72 | 35K | 200 | 🇺🇸 |
| 48 | Ya-Qin Zhang 张亚勤 | Tsinghua University / Former Baidu | Multimedia, AI | 72 | 25K | 300 | 🇨🇳 |
| 49 | Wei-Ying Ma 马维英 | Tsinghua University | Information Retrieval, AI | 72 | 25K | 350 | 🇨🇳 |
| 50 | Dong Yu 俞栋 | Tencent AI Lab | Speech Recognition, Audio | 72 | 35K | 250 | 🇨🇳 |
| 51 | Jingdong Wang 王井东 | Baidu Research | Computer Vision | 72 | 35K | 280 | 🇨🇳 |
| 52 | Shiguang Shan 山世光 | Chinese Academy of Sciences | Computer Vision, Face Recognition | 72 | 25K | 350 | 🇨🇳 |
| 53 | Nanning Zheng 郑南宁 | Xi'an Jiaotong University | Computer Vision, Autonomous Driving | 72 | 20K | 500 | 🇨🇳 |
| 54 | Kai Li 李凯 | Princeton University | Systems, Storage | 72 | 20K | 250 | 🇺🇸 |
| 55 | Xian-Sheng Hua 华先胜 | Alibaba DAMO Academy | Computer Vision, Multimedia | 72 | 22K | 350 | 🇨🇳 |
| 56 | Pheng-Ann Heng 衡鹏安 | CUHK | Medical AI, Graphics | 72 | 20K | 400 | 🇭🇰 |
| 57 | Yi Yang 杨易 | Zhejiang University | Computer Vision, Video | 72 | 28K | 350 | 🇨🇳 |
| 58 | Rong Jin 金榕 | Alibaba DAMO / Michigan State | Machine Learning, Optimization | 72 | 22K | 300 | 🇨🇳 |
| 59 | Yiming Yang 杨一鸣 | CMU | NLP, Information Retrieval | 72 | 30K | 300 | 🇺🇸 |
| 60 | Lei Chen 陈雷 | HKUST | Databases, Data Mining | 72 | 22K | 500 | 🇭🇰 |
| 61 | Maosong Sun 孙茂松 | Tsinghua University | NLP, Computational Linguistics | 70 | 25K | 400 | 🇨🇳 |
| 62 | Ce Liu 刘策 | Microsoft Research | Computer Vision, Image Processing | 68 | 40K | 150 | 🇺🇸 |
| 63 | Jiashi Feng 冯佳时 | ByteDance | Computer Vision, ML | 68 | 28K | 300 | 🇸🇬 |
| 64 | Tao Xiang 向涛 | University of Surrey | Computer Vision | 68 | 25K | 300 | 🇬🇧 |
| 65 | Yao Wang 王瑶 | New York University | Video Processing, Medical Imaging | 68 | 20K | 350 | 🇺🇸 |
| 66 | Xiang Bai 白翔 | HUST | Computer Vision, OCR | 68 | 25K | 250 | 🇨🇳 |
| 67 | Liang-Chieh Chen 陈良杰 | Google DeepMind | Computer Vision, Segmentation | 65 | 78K | 100 | 🇺🇸 |
| 68 | Song Han 韩松 | MIT | Efficient AI, Model Compression | 65 | 55K | 150 | 🇺🇸 |
| 69 | Tinne Tuytelaars 田婷 | KU Leuven | Computer Vision | 65 | 22K | 250 | 🇧🇪 |
| 70 | Yu Qiao 乔宇 | Shanghai AI Lab | Computer Vision | 65 | 22K | 300 | 🇨🇳 |
| 71 | Jiashi Feng (BD) 冯佳时(BD) | ByteDance / NUS | Computer Vision, ML | 65 | 22K | 280 | 🇸🇬 |
| 72 | Bolei Zhou 周博磊 | UCLA | Computer Vision, Scene Understanding | 62 | 45K | 130 | 🇺🇸 |
| 73 | Ping Luo 罗平 | HKU | Computer Vision, Normalization | 62 | 35K | 200 | 🇭🇰 |
| 74 | Jia Deng 邓嘉 | Princeton University | Computer Vision | 62 | 70K | 120 | 🇺🇸 |
| 75 | Zhiyuan Liu 刘知远 | Tsinghua University | NLP, Knowledge Graphs | 62 | 28K | 250 | 🇨🇳 |
| 76 | Kai-Fu Lee 李开复 | Sinovation Ventures | AI, Technology Leadership | 62 | 28K | 150 | 🇨🇳 |
| 77 | Xifeng Yan 严霄凤 | UC Santa Barbara | Data Mining, NLP | 62 | 18K | 250 | 🇺🇸 |
| 78 | Wei Liu 刘威 | Tencent AI Lab | Computer Vision, Hashing | 62 | 25K | 200 | 🇨🇳 |
| 79 | Yu-Gang Jiang 姜育刚 | Fudan University | Computer Vision, Video | 62 | 20K | 250 | 🇨🇳 |
| 80 | Wenjun Zeng 曾文军 | Eastern Institute of Technology | Multimedia, Video Coding | 62 | 18K | 300 | 🇨🇳 |
| 81 | Changsheng Xu 徐常胜 | Chinese Academy of Sciences | Multimedia, Social Media | 62 | 18K | 350 | 🇨🇳 |
| 82 | Honglak Lee 李弘洛 | University of Michigan / LG AI | Deep Learning, Unsupervised Learning | 62 | 30K | 150 | 🇺🇸 |
| 83 | Tao Mei 梅涛 | HiDream.ai | Computer Vision, Multimedia | 62 | 18K | 300 | 🇨🇳 |
| 84 | Cheng-Zhong Xu 徐成中 | University of Macau | Cloud Computing, Edge AI | 62 | 15K | 350 | 🇲🇴 |
| 85 | Jiliang Tang 唐继良 | Michigan State University | Graph Learning, Social Media | 62 | 22K | 300 | 🇺🇸 |
| 86 | Jiwen Lu 卢继文 | Tsinghua University | Computer Vision, Biometrics | 62 | 18K | 300 | 🇨🇳 |
| 87 | Xiangnan He 何向南 | USTC | Recommendation Systems | 62 | 30K | 200 | 🇨🇳 |
| 88 | Xiaokang Yang 杨小康 | SJTU | Video Processing, CV | 62 | 15K | 400 | 🇨🇳 |
| 89 | Cheng-Lin Liu 刘成林 | Chinese Academy of Sciences | Pattern Recognition, OCR | 62 | 15K | 350 | 🇨🇳 |
| 90 | Ming-Ming Cheng 程明明 | NKU | Computer Vision, Saliency | 62 | 22K | 200 | 🇨🇳 |
| 91 | Lu Yuan 袁路 | Microsoft Research | Computer Vision | 60 | 25K | 200 | 🇺🇸 |
| 92 | Ziwei Liu 刘子纬 | NTU Singapore | Computer Vision, Generative Models | 58 | 30K | 170 | 🇸🇬 |
| 93 | Ting Liu 刘挺 | Harbin Institute of Technology | NLP | 58 | 15K | 350 | 🇨🇳 |
| 94 | Furu Wei 韦福如 | Microsoft Research Asia | NLP, Pre-training | 58 | 30K | 180 | 🇨🇳 |
| 95 | Yang Liu 刘洋 | Tsinghua University | NLP, Machine Translation | 58 | 20K | 250 | 🇨🇳 |
| 96 | Yizhou Sun 孙怡舟 | UCLA | Data Mining, Graph Mining | 58 | 18K | 200 | 🇺🇸 |
| 97 | Yizhou Yu 于仕琪 | HKU | Computer Graphics, Vision | 58 | 15K | 250 | 🇭🇰 |
| 98 | Jun Zhu 朱军 | Tsinghua University | Machine Learning, Bayesian | 58 | 18K | 250 | 🇨🇳 |
| 99 | Yingnian Wu 吴迎年 | UCLA | Statistical Learning, Generative Models | 58 | 15K | 200 | 🇺🇸 |
| 100 | Haibin Ling 凌海滨 | Stony Brook University | Computer Vision | 58 | 15K | 200 | 🇺🇸 |
| 101 | Ruigang Yang 杨瑞刚 | Inceptio Technology | Computer Vision, 3D | 58 | 15K | 200 | 🇨🇳 |
| 102 | Yun Fu 傅云 | Northeastern University (US) | Computer Vision, Multimedia | 58 | 15K | 350 | 🇺🇸 |
| 103 | Jifeng Dai 戴继峰 | SenseTime / Tsinghua | Computer Vision, Object Detection | 55 | 48K | 100 | 🇨🇳 |
| 104 | Cewu Lu 卢策吾 | SJTU | Computer Vision, Robotics | 55 | 22K | 180 | 🇨🇳 |
| 105 | Hao Su 苏浩 | UC San Diego | Computer Vision, 3D | 55 | 35K | 130 | 🇺🇸 |
| 106 | Yue Zhang 张岳 | Westlake University | NLP | 55 | 18K | 200 | 🇨🇳 |
| 107 | Minlie Huang 黄民烈 | Tsinghua University | NLP, Dialogue Systems | 55 | 18K | 250 | 🇨🇳 |
| 108 | Tao Qin 秦涛 | Microsoft Research Asia | NLP, Machine Learning | 55 | 20K | 200 | 🇨🇳 |
| 109 | Haifeng Wang 王海峰 | Baidu | NLP, Machine Translation | 55 | 15K | 200 | 🇨🇳 |
| 110 | Liwei Wang 王立威 | Peking University | Machine Learning Theory | 55 | 15K | 200 | 🇨🇳 |
| 111 | Stella X. Yu 余晓洁 | University of Michigan | Computer Vision | 55 | 15K | 120 | 🇺🇸 |
| 112 | Zhuowen Tu 涂卓文 | UC San Diego | Computer Vision, Medical Imaging | 55 | 15K | 150 | 🇺🇸 |
| 113 | Tiejun Huang 黄铁军 | Peking University | Video, Brain-inspired Computing | 55 | 12K | 300 | 🇨🇳 |
| 114 | Xiaojin Zhu 朱晓金 | University of Wisconsin | Machine Learning | 55 | 18K | 150 | 🇺🇸 |
| 115 | Houqiang Li 李厚强 | USTC | Video Processing, CV | 55 | 12K | 300 | 🇨🇳 |
| 116 | Feng Wu 吴枫 | USTC | Multimedia, Video Coding | 55 | 10K | 300 | 🇨🇳 |
| 117 | Hongsheng Li 李鸿升 | CUHK | Computer Vision | 55 | 15K | 200 | 🇭🇰 |
| 118 | Hao Chen 陈浩 | HKUST | Medical AI, Segmentation | 55 | 18K | 200 | 🇭🇰 |
| 119 | Rongrong Ji 纪荣嵘 | Xiamen University | Computer Vision, Efficient AI | 55 | 12K | 300 | 🇨🇳 |
| 120 | Lei Guo 郭磊 | Beihang University | Control, AI | 55 | 12K | 300 | 🇨🇳 |
| 121 | Min-Yen Kan 甘明远 | NUS | NLP, Scholarly Data | 55 | 12K | 200 | 🇸🇬 |
| 122 | Xiangyu Zhang 张祥雨 | Megvii Research | Computer Vision, Efficient Networks | 52 | 65K | 90 | 🇨🇳 |
| 123 | Deqing Sun 孙德清 | Google Research | Computer Vision, Optical Flow | 52 | 18K | 80 | 🇺🇸 |
| 124 | Chuang Gan 甘创 | MIT-IBM Watson AI Lab / UMass Amherst | Computer Vision, Multimodal | 52 | 20K | 150 | 🇺🇸 |
| 125 | Xipeng Qiu 邱锡鹏 | Fudan University | NLP | 52 | 18K | 200 | 🇨🇳 |
| 126 | Hai Zhao 赵海 | SJTU | NLP, Parsing | 52 | 12K | 250 | 🇨🇳 |
| 127 | Quanquan Gu 顾全全 | UCLA | Machine Learning Theory | 52 | 15K | 200 | 🇺🇸 |
| 128 | Tianqi Chen 陈天奇 | CMU | Machine Learning Systems | 52 | 55K | 60 | 🇺🇸 |
| 129 | Xin Luna Dong 董欣 | Meta AI | Data Mining, Knowledge Graphs | 52 | 12K | 150 | 🇺🇸 |
| 130 | Jian Cheng 程健 | Chinese Academy of Sciences | Model Compression, Efficient AI | 52 | 12K | 200 | 🇨🇳 |
| 131 | Limin Wang 王利民 | Nanjing University | Computer Vision, Video | 52 | 25K | 120 | 🇨🇳 |
| 132 | Xudong Jiang 蒋旭东 | NTU Singapore | Pattern Recognition, Biometrics | 52 | 10K | 200 | 🇸🇬 |
| 133 | Ding-Xuan Zhou 周定轩 | University of Sydney | Machine Learning Theory | 52 | 10K | 150 | 🇦🇺 |
| 134 | Zheng Zhang 张铮 | NYU Shanghai / Amazon | Deep Learning, Systems | 52 | 15K | 150 | 🇨🇳 |
| 135 | Zhangyang Wang 王张洋 | UT Austin | Efficient AI, Sparse Learning | 52 | 15K | 250 | 🇺🇸 |
| 136 | Yanfei Zhong 仲燕飞 | Wuhan University | Remote Sensing, AI | 52 | 10K | 200 | 🇨🇳 |
| 137 | Mingsheng Long 龙明盛 | Tsinghua University | Transfer Learning | 52 | 22K | 100 | 🇨🇳 |
| 138 | Sinno Jialin Pan 潘嘉林 | CUHK-Shenzhen | Transfer Learning | 52 | 25K | 120 | 🇨🇳 |
| 139 | Kun Zhang 张坤 | CMU / MBZUAI | Causal Inference, ML | 52 | 12K | 200 | 🇺🇸 |
| 140 | Junsong Yuan 袁骏松 | SUNY Buffalo | Computer Vision, Action | 52 | 12K | 200 | 🇺🇸 |
| 141 | Zhifeng Li 李志锋 | Tencent AI Lab | Computer Vision, Speech | 52 | 10K | 200 | 🇨🇳 |
| 142 | Xiaodan Liang 梁小丹 | SYSU | Computer Vision, NLP | 52 | 15K | 150 | 🇨🇳 |
| 143 | Peng Cui 崔鹏 | Tsinghua University | Causal ML, Fairness | 52 | 15K | 200 | 🇨🇳 |
| 144 | Cho-Jui Hsieh 谢卓睿 | UCLA | ML, Adversarial, Optimization | 52 | 12K | 150 | 🇺🇸 |
| 145 | Guoliang Li 李国良 | Tsinghua University | Databases, AI4DB | 52 | 10K | 250 | 🇨🇳 |
| 146 | Hengshuang Zhao 赵恒爽 | HKU | Computer Vision, Segmentation | 50 | 32K | 80 | 🇭🇰 |
| 147 | Saining Xie 谢赛宁 | New York University | Computer Vision | 48 | 55K | 70 | 🇺🇸 |
| 148 | Hao Li 李皓 | Pinscreen / MBZUAI | Computer Vision, 3D Reconstruction | 48 | 15K | 120 | 🇺🇸 |
| 149 | Lei Li 李磊 | CMU / Santa Barbara | NLP, Machine Translation | 48 | 15K | 180 | 🇺🇸 |
| 150 | Danqi Chen 陈丹琦 | Princeton University | NLP, Question Answering | 48 | 35K | 70 | 🇺🇸 |
| 151 | Wanxiang Che 车万翔 | Harbin Institute of Technology | NLP | 48 | 12K | 250 | 🇨🇳 |
| 152 | Hua Wu 吴华 | Baidu | NLP, Machine Translation | 48 | 12K | 180 | 🇨🇳 |
| 153 | Nan Duan 段楠 | Microsoft Research Asia | NLP, Code Intelligence | 48 | 15K | 150 | 🇨🇳 |
| 154 | Jian Tang 唐建 | Mila / HEC Montreal | Graph Neural Networks, Drug Discovery | 48 | 20K | 100 | 🇨🇦 |
| 155 | Yunchao Wei 魏云超 | Beijing Jiaotong University | Computer Vision, Segmentation | 48 | 15K | 120 | 🇨🇳 |
| 156 | Wei Chen 陈巍 | Microsoft Research Asia | Machine Learning, Game Theory | 48 | 10K | 200 | 🇨🇳 |
| 157 | Junyan Zhu 朱俊彦 | CMU | Computer Vision, Generative Models | 48 | 50K | 50 | 🇺🇸 |
| 158 | Yong Jae Lee 李勇宰 | University of Wisconsin | Computer Vision | 48 | 15K | 120 | 🇺🇸 |
| 159 | Gui-Song Xia 夏桂松 | Wuhan University | Remote Sensing, CV | 48 | 10K | 200 | 🇨🇳 |
| 160 | Tongliang Liu 刘同亮 | University of Sydney | Noisy Labels, Robust ML | 48 | 12K | 200 | 🇦🇺 |
| 161 | Zheng-Jun Zha 查正军 | USTC | Multimedia, CV | 48 | 10K | 200 | 🇨🇳 |
| 162 | Jingkuan Song 宋井宽 | UESTC | Multimedia, Hashing | 48 | 12K | 200 | 🇨🇳 |
| 163 | Shengjin Wang 王生进 | Tsinghua University | Computer Vision, ReID | 48 | 10K | 250 | 🇨🇳 |
| 164 | Jason D. Lee 李敬达 | Princeton University | ML Theory, Optimization | 48 | 15K | 100 | 🇺🇸 |
| 165 | Shaoqing Ren 任少卿 | ByteDance | Computer Vision, Object Detection | 45 | 120K | 60 | 🇨🇳 |
| 166 | Kai Chen 陈凯 | Shanghai AI Lab | Computer Vision, Open Source | 45 | 28K | 120 | 🇨🇳 |
| 167 | Jiajun Wu 吴佳骏 | Stanford University | Computer Vision, 3D Understanding | 45 | 18K | 100 | 🇺🇸 |
| 168 | Xu Sun 孙栩 | Peking University | NLP | 45 | 12K | 200 | 🇨🇳 |
| 169 | Jiwei Li 李纪为 | Shannon AI / UCSB | NLP | 45 | 22K | 100 | 🇨🇳 |
| 170 | Tengyu Ma 马腾宇 | Stanford University | Machine Learning Theory | 45 | 15K | 80 | 🇺🇸 |
| 171 | Mu Li 李沐 | Boson AI / Former Amazon | Deep Learning Systems | 45 | 30K | 60 | 🇺🇸 |
| 172 | Xiang Ren 任翔 | USC | NLP, Knowledge | 45 | 15K | 120 | 🇺🇸 |
| 173 | Qi Lu 陆奇 | MiraclePlus | AI, Systems | 45 | 12K | 100 | 🇨🇳 |
| 174 | Kai Yu 俞凯 | SJTU / SpeechX | Speech, Dialogue | 45 | 10K | 200 | 🇨🇳 |
| 175 | Yelong Shen 沈业龙 | Microsoft Research | NLP, Deep Learning | 45 | 18K | 100 | 🇺🇸 |
| 176 | Jianping Shi 石建萍 | SenseTime | Computer Vision | 45 | 15K | 100 | 🇨🇳 |
| 177 | Yichen Wei 魏一晨 | SenseTime | Computer Vision | 45 | 20K | 80 | 🇨🇳 |
| 178 | Xiaolin Hu 胡晓林 | Tsinghua University | Neural Networks, Brain-inspired | 45 | 10K | 150 | 🇨🇳 |
| 179 | Changhu Wang 王长虎 | ByteDance | Computer Vision, Multimedia | 45 | 10K | 150 | 🇨🇳 |
| 180 | Xianglong Liu 刘翔龙 | Beihang University | Computer Vision, Hashing | 45 | 10K | 200 | 🇨🇳 |
| 181 | Yixin Chen 陈一心 | Washington University | Data Mining, ML | 45 | 10K | 180 | 🇺🇸 |
| 182 | Yifan Hu 胡一帆 | Yahoo Research (retired) | Recommendation, Data Mining | 45 | 18K | 80 | 🇺🇸 |
| 183 | Qiang Xu 徐强 | CUHK | EDA, AI Hardware | 45 | 8.0K | 200 | 🇭🇰 |
| 184 | Bo Li (UIUC) 李博(UIUC) | UIUC / University of Chicago | Trustworthy AI, Security | 45 | 12K | 100 | 🇺🇸 |
| 185 | Tsung-Yi Lin 林宗翊 | NVIDIA | Computer Vision, Detection | 45 | 55K | 30 | 🇺🇸 |
| 186 | Xinlei Chen 陈鑫磊 | Meta AI | Computer Vision, Self-supervised Learning | 42 | 25K | 60 | 🇺🇸 |
| 187 | Xiaolong Wang 王小龙 | UC San Diego | Computer Vision, Robotics | 42 | 18K | 90 | 🇺🇸 |
| 188 | Shuming Shi 史树明 | Tencent AI Lab | NLP | 42 | 10K | 150 | 🇨🇳 |
| 189 | Rui Yan 严睿 | Peking University | NLP, Dialogue | 42 | 10K | 180 | 🇨🇳 |
| 190 | Simon S. Du 杜少雷 | University of Washington | Machine Learning Theory | 42 | 15K | 90 | 🇺🇸 |
| 191 | Zeyuan Allen-Zhu 朱泽园 | Microsoft Research | Machine Learning Theory, Optimization | 42 | 12K | 60 | 🇺🇸 |
| 192 | Zhilin Yang 杨植麟 | Moonshot AI / Tsinghua | NLP, LLMs | 42 | 35K | 50 | 🇨🇳 |
| 193 | Jian Li 李建 | Tsinghua University | Algorithms, ML Theory | 42 | 8.0K | 150 | 🇨🇳 |
| 194 | Naiyan Wang 王乃岩 | TuSimple | Computer Vision, Autonomous Driving | 42 | 15K | 80 | 🇨🇳 |
| 195 | Zhe Gan 甘哲 | Apple | Vision-Language, NLP | 42 | 18K | 80 | 🇺🇸 |
| 196 | Han Hu 胡瀚 | Microsoft Research Asia | Computer Vision | 42 | 25K | 60 | 🇨🇳 |
| 197 | Chao Dong 董超 | Shenzhen Institute of Advanced Technology | Computer Vision, Super Resolution | 42 | 25K | 80 | 🇨🇳 |
| 198 | Lin Xiao 肖林 | Meta AI | Optimization | 42 | 10K | 80 | 🇺🇸 |
| 199 | Yanwei Fu 付彦伟 | Fudan University | Computer Vision, Few-shot | 42 | 10K | 120 | 🇨🇳 |
| 200 | Yue Zhang 张悦 | Alibaba DAMO | NLP, Parsing | 42 | 8.0K | 150 | 🇨🇳 |
| 201 | Jianxiong Xiao 肖建雄 | AutoX | 3D Vision, Autonomous Driving | 42 | 12K | 80 | 🇨🇳 |
| 202 | Peng Wang 王鹏 | Northwestern Polytechnical University | Computer Vision, OCR | 42 | 10K | 150 | 🇨🇳 |
| 203 | Li Erran Li 李二然 | AWS AI | Autonomous Driving, ML Systems | 42 | 10K | 100 | 🇺🇸 |
| 204 | Qi Dou 窦琪 | CUHK | Medical AI, Surgical AI | 42 | 10K | 120 | 🇭🇰 |
| 205 | Mengdi Wang 王梦迪 | Princeton University | Reinforcement Learning, Optimization | 42 | 8.0K | 100 | 🇺🇸 |
| 206 | Yuandong Tian 田渊栋 | Meta AI | RL, Game AI | 42 | 10K | 80 | 🇺🇸 |
| 207 | Yongfeng Zhang 张永锋 | Rutgers University | Recommendation, Explainable AI | 42 | 8.0K | 150 | 🇺🇸 |
| 208 | Dawei Yin 尹大伟 | Baidu | Information Retrieval, NLP | 42 | 8.0K | 120 | 🇨🇳 |
| 209 | Boqing Gong 龚博青 | Google Research | Computer Vision, Transfer | 42 | 10K | 80 | 🇺🇸 |
| 210 | Dejing Dou 窦德景 | Fudan University | Data Mining, Knowledge Graphs | 42 | 8.0K | 200 | 🇨🇳 |
| 211 | Zheng Wang 王铮 | NUS | Computer Vision, Re-ID | 42 | 8.0K | 120 | 🇸🇬 |
| 212 | Jingyi Yu 虞晶怡 | ShanghaiTech University | Computational Photography | 42 | 8.0K | 150 | 🇨🇳 |
| 213 | Yu-Wing Tai 戴宇荣 | Kuaishou / HKUST | Computer Vision | 42 | 8.0K | 120 | 🇭🇰 |
| 214 | Errui Ding 丁二锐 | Baidu | Computer Vision | 42 | 8.0K | 120 | 🇨🇳 |
| 215 | Jingren Zhou 周靖人 | Alibaba | Data Systems, AI | 42 | 8.0K | 100 | 🇨🇳 |
| 216 | Xiaohua Zhai 翟晓华 | Google DeepMind | Computer Vision, Representation | 42 | 15K | 60 | 🇨🇭 |
| 217 | Xiaowei Zhou 周晓巍 | Zhejiang University | 3D Vision, Human Pose | 42 | 10K | 80 | 🇨🇳 |
| 218 | Ji Liu 刘骥 | Baidu Research | Optimization, Distributed ML | 42 | 8.0K | 150 | 🇨🇳 |
| 219 | Zhao-Xiang Zhang 张兆翔 | Chinese Academy of Sciences | Computer Vision, Pattern Recognition | 42 | 8.0K | 200 | 🇨🇳 |
| 220 | Zhiwei Xiong 熊志伟 | USTC | Computational Photography | 42 | 6.0K | 150 | 🇨🇳 |
| 221 | Xiaodong Liu 刘晓东 | Microsoft Research | NLP, Pre-training | 42 | 15K | 60 | 🇺🇸 |
| 222 | Weizhu Chen 陈维柱 | Microsoft | NLP, LLMs | 42 | 15K | 80 | 🇺🇸 |
| 223 | Yi Tay 郑一 | Google DeepMind / Reka AI | NLP, Efficient Transformers | 42 | 12K | 80 | 🇸🇬 |
| 224 | Jinyu Li 李劲宇 | Microsoft | Speech Recognition | 42 | 8.0K | 120 | 🇺🇸 |
| 225 | Tianbao Yang 杨天宝 | Texas A&M University | Optimization, ML | 42 | 8.0K | 150 | 🇺🇸 |
| 226 | Xiao-Shan Gao 高小山 | Chinese Academy of Sciences | Automated Reasoning, AI for Math | 42 | 6.0K | 200 | 🇨🇳 |
| 227 | Yuxin Wu 吴育昕 | Meta AI | Computer Vision, Systems | 38 | 35K | 40 | 🇺🇸 |
| 228 | Shuran Song 宋舒然 | Stanford University | Computer Vision, Robotics | 38 | 12K | 60 | 🇺🇸 |
| 229 | Wenhai Wang 王文海 | Shanghai AI Lab | Computer Vision | 38 | 22K | 70 | 🇨🇳 |
| 230 | Xizhou Zhu 朱锡洲 | Tsinghua / SenseTime | Computer Vision | 38 | 20K | 60 | 🇨🇳 |
| 231 | Chi Jin 金驰 | Princeton University | Machine Learning, RL Theory | 38 | 10K | 60 | 🇺🇸 |
| 232 | Yuke Zhu 朱玉可 | UT Austin | Robotics, RL | 38 | 12K | 80 | 🇺🇸 |
| 233 | Yali Wang 王亚丽 | Chinese Academy of Sciences | Computer Vision, Video | 38 | 8.0K | 100 | 🇨🇳 |
| 234 | Wei Shen 沈伟 | SJTU | Computer Vision | 38 | 8.0K | 100 | 🇨🇳 |
| 235 | Tuo Zhao 赵拓 | Georgia Tech | Machine Learning, Optimization | 38 | 8.0K | 100 | 🇺🇸 |
| 236 | Junchi Yan 严骏驰 | SJTU | Machine Learning, Graph Matching | 38 | 6.0K | 150 | 🇨🇳 |
| 237 | Mingyuan Zhou 周明源 | UT Austin | Bayesian ML, Generative | 38 | 6.0K | 100 | 🇺🇸 |
| 238 | Weinan Zhang 张伟男 | SJTU | Computational Advertising, RL | 38 | 6.0K | 120 | 🇨🇳 |
| 239 | Zhiru Zhang 张志如 | Cornell University | Hardware, ML Acceleration | 38 | 6.0K | 150 | 🇺🇸 |
| 240 | Jian Li (THU) 李建(清华) | Tsinghua University | AI for Science | 38 | 6.0K | 100 | 🇨🇳 |
| 241 | Hang Su 苏航 | Tsinghua University | Adversarial ML, Robustness | 38 | 8.0K | 100 | 🇨🇳 |
| 242 | Yunhe Wang 王云鹤 | Huawei Noah's Ark Lab | Efficient AI, NAS | 38 | 6.0K | 100 | 🇨🇳 |
| 243 | Zhaopeng Tu 屠兆鹏 | Tencent AI Lab | NLP, Machine Translation | 38 | 6.0K | 100 | 🇨🇳 |
| 244 | Chongyi Li 李崇义 | NTU Singapore | Low-level Vision | 38 | 6.0K | 80 | 🇸🇬 |
| 245 | Weijie Su 苏伟杰 | University of Pennsylvania | Statistics, ML Theory | 38 | 6.0K | 60 | 🇺🇸 |
| 246 | Diyi Yang 杨笛一 | Stanford University | NLP, Social Computing | 38 | 8.0K | 80 | 🇺🇸 |
| 247 | Lingjia Tang 唐玲嘉 | University of Michigan | Computer Architecture, ML Systems | 38 | 6.0K | 80 | 🇺🇸 |
| 248 | Zhuang Liu 刘壮 | Meta AI | Computer Vision | 35 | 30K | 40 | 🇺🇸 |
| 249 | Ze Liu 刘泽 | Microsoft Research | Computer Vision, Transformers | 35 | 32K | 30 | 🇺🇸 |
| 250 | Yue Cao 曹越 | Microsoft Research Asia | Computer Vision | 35 | 18K | 50 | 🇨🇳 |
| 251 | Xu Tan 谭旭 | Microsoft Research Asia | Speech Synthesis, Audio | 35 | 10K | 80 | 🇨🇳 |
| 252 | Yann Dauphin 杨多芬 | Meta AI | Deep Learning, Optimization | 35 | 18K | 40 | 🇺🇸 |
| 253 | Yuning Jiang 姜昱宁 | ByteDance | Computer Vision, Detection | 35 | 10K | 60 | 🇨🇳 |
| 254 | Yongchao Gong 龚永超 | Tencent Youtu Lab | Computer Vision | 35 | 8.0K | 80 | 🇨🇳 |
| 255 | Yongqiang Zhang 张勇强 | Harbin Institute of Technology | Computer Vision, Detection | 35 | 6.0K | 80 | 🇨🇳 |
| 256 | Tao Chen 陈涛 | Fudan University | Computer Vision | 35 | 6.0K | 100 | 🇨🇳 |
| 257 | Di He 贺笛 | Peking University | Machine Learning, NLP | 35 | 10K | 60 | 🇨🇳 |
| 258 | Yisen Wang 王奕森 | Peking University | Robust ML, Adversarial | 35 | 8.0K | 80 | 🇨🇳 |
| 259 | Hang Zhao 赵行 | Tsinghua University / Shanghai Qi Zhi | Autonomous Driving, Multimodal | 35 | 10K | 50 | 🇨🇳 |
| 260 | Quanshi Zhang 张拳石 | SJTU | Explainable AI | 35 | 6.0K | 80 | 🇨🇳 |
| 261 | Mingming Gong 龚明明 | University of Melbourne | Causal Inference, ML | 35 | 6.0K | 80 | 🇦🇺 |
| 262 | Ge Li 李戈 | Peking University | Code Intelligence, SE | 35 | 5.0K | 120 | 🇨🇳 |
| 263 | Jing Liao 廖菁 | City University of Hong Kong | Computer Graphics, Style Transfer | 35 | 6.0K | 80 | 🇭🇰 |
| 264 | Shuai Yi 易帅 | SenseTime | Computer Vision | 35 | 8.0K | 80 | 🇨🇳 |
| 265 | Yixuan Li 李一萱 | University of Wisconsin | Robust ML, OOD Detection | 35 | 8.0K | 60 | 🇺🇸 |
| 266 | Deli Zhao 赵德力 | Alibaba DAMO | Computer Vision, 3D | 35 | 5.0K | 80 | 🇨🇳 |
| 267 | Qifeng Chen 陈启峰 | HKUST | Computer Vision, Generative | 35 | 8.0K | 60 | 🇭🇰 |
| 268 | Wei Li 李伟 | University of Sydney | Transfer Learning, CV | 35 | 6.0K | 80 | 🇦🇺 |
| 269 | Peng Li (ICT) 李鹏(计算所) | Chinese Academy of Sciences | NLP, Machine Translation | 35 | 6.0K | 100 | 🇨🇳 |
| 270 | Jie Chen (MIT) 陈杰(MIT) | MIT-IBM Watson AI | Graph ML, Signal Processing | 35 | 5.0K | 80 | 🇺🇸 |
| 271 | Min Lin 林敏 | Sea AI Lab | Deep Learning, Computer Vision | 35 | 20K | 30 | 🇸🇬 |
| 272 | Yu Cheng 程煜 | Microsoft Research | NLP, Model Compression | 35 | 8.0K | 60 | 🇺🇸 |
| 273 | Zhaoran Wang 王昭然 | Northwestern University | RL, Statistics | 35 | 5.0K | 80 | 🇺🇸 |
| 274 | Zhengdong Lu 路正东 | Tencent / NYU Shanghai | NLP, ML | 35 | 6.0K | 80 | 🇨🇳 |
| 275 | Quanfu Fan 范全富 | IBM Research | Computer Vision, Efficient AI | 35 | 5.0K | 80 | 🇺🇸 |
| 276 | Lin Ma 马林 | Meituan | Vision-Language | 35 | 6.0K | 60 | 🇨🇳 |
| 277 | Zhifang Sui 穗志方 | Peking University | NLP, Knowledge Graphs | 35 | 5.0K | 150 | 🇨🇳 |
| 278 | Chenliang Li (WHU) 李晨亮(武大) | Wuhan University | NLP, Recommendation | 35 | 5.0K | 100 | 🇨🇳 |
| 279 | Yuxiao Dong 董宇潇 | Tsinghua University | Graph ML, Social Networks | 35 | 8.0K | 60 | 🇨🇳 |
| 280 | Chao Zhang 张超 | Georgia Tech | NLP, Data Mining | 35 | 6.0K | 60 | 🇺🇸 |
| 281 | Zihang Dai 戴子航 | Apple | NLP, LLMs | 32 | 18K | 30 | 🇺🇸 |
| 282 | Licheng Yu 于立成 | Meta AI | Vision-Language | 32 | 8.0K | 40 | 🇺🇸 |
| 283 | Xiao Wang 王萧 | Peking University | Graph Neural Networks | 32 | 6.0K | 60 | 🇨🇳 |
| 284 | Zhaowei Cai 蔡朝伟 | Amazon | Computer Vision, Detection | 32 | 6.0K | 40 | 🇺🇸 |
| 285 | Shaoshuai Shi 石少帅 | CUHK | 3D Detection, Autonomous Driving | 32 | 8.0K | 30 | 🇭🇰 |
| 286 | Yinda Zhang 张银达 | Google Research | 3D Vision | 32 | 5.0K | 50 | 🇺🇸 |
| 287 | Yanghao Li 李仰浩 | Meta AI | Computer Vision, Video | 32 | 6.0K | 40 | 🇺🇸 |
| 288 | Zhirong Wu 吴志容 | Microsoft Research Asia | 3D Vision, Self-supervised | 32 | 8.0K | 30 | 🇨🇳 |
| 289 | Chenguang Zhu 朱辰光 | Zoom | NLP, Summarization | 32 | 5.0K | 60 | 🇺🇸 |
| 290 | Yaoliang Yu 余耀良 | University of Waterloo | Machine Learning, Optimization | 32 | 4.0K | 60 | 🇨🇦 |
| 291 | Meng Jiang 蒋萌 | University of Notre Dame | Data Mining, NLP | 32 | 4.0K | 80 | 🇺🇸 |
| 292 | Hao Wang 王昊 | Rutgers University | Bayesian ML, Meta-learning | 32 | 5.0K | 50 | 🇺🇸 |
| 293 | Xiao-Ming Wu 吴晓明 | PolyU Hong Kong | Graph Learning, Semi-supervised | 32 | 5.0K | 60 | 🇭🇰 |
| 294 | Xin Wang 王鑫 | Tsinghua University | Multimodal, Video | 32 | 5.0K | 60 | 🇨🇳 |
| 295 | Zuxuan Wu 吴祖轩 | Fudan University | Computer Vision, Video | 32 | 6.0K | 50 | 🇨🇳 |
| 296 | Jiangmiao Pang 庞江淼 | Shanghai AI Lab | Computer Vision, Detection | 32 | 8.0K | 40 | 🇨🇳 |
| 297 | Zhi Tian 田志 | ByteDance | Computer Vision, Detection | 32 | 12K | 25 | 🇨🇳 |
| 298 | Jianguo Zhang 张建国 | Alibaba / Former Yahoo | NLP, Dialogue | 32 | 4.0K | 60 | 🇺🇸 |
| 299 | Pengchuan Zhang 张鹏川 | Microsoft / Apple | Vision-Language, NLP | 32 | 8.0K | 40 | 🇺🇸 |
| 300 | Chunyuan Li 李春源 | Microsoft Research | Generative Models, Multimodal | 32 | 8.0K | 40 | 🇺🇸 |
| 301 | Shu Liu 刘姝 | SmartMore | Computer Vision, Segmentation | 32 | 8.0K | 30 | 🇨🇳 |
| 302 | Cheng Li 李诚 | USTC / Microsoft | Information Retrieval | 32 | 5.0K | 60 | 🇨🇳 |
| 303 | Mingxing Tan 谭明星 | Google Brain | Computer Vision, Efficient AI | 32 | 20K | 15 | 🇺🇸 |
| 304 | Barret Zoph 巴雷特·左夫 | OpenAI | NAS, LLMs | 32 | 22K | 15 | 🇺🇸 |
| 305 | Adams Wei Yu 余维伟 | Google DeepMind | NLP, LLMs | 32 | 10K | 30 | 🇺🇸 |
| 306 | Ting Chen 陈挺 | Google DeepMind | Self-supervised Learning | 32 | 20K | 20 | 🇺🇸 |
| 307 | Sheng Wang 王晟 | University of Washington | Biomedical AI | 32 | 5.0K | 50 | 🇺🇸 |
| 308 | Jiaming Song 宋佳铭 | NVIDIA | Generative Models | 32 | 12K | 20 | 🇺🇸 |
| 309 | Yang Song 宋飏 | OpenAI | Generative Models, Diffusion | 32 | 15K | 20 | 🇺🇸 |
| 310 | Yujun Shen 沈宇军 | Ant Group | Generative Models, Face | 32 | 8.0K | 30 | 🇨🇳 |
| 311 | Cihang Xie 谢慈航 | UC Santa Cruz | Adversarial ML, Vision | 32 | 8.0K | 30 | 🇺🇸 |
| 312 | Zhizheng Wu 吴志正 | CUHK-Shenzhen | Speech, Audio | 32 | 5.0K | 60 | 🇨🇳 |
| 313 | Jiatao Gu 顾佳涛 | Apple | NLP, Non-autoregressive | 32 | 6.0K | 30 | 🇺🇸 |
| 314 | Yaodong Yang 杨耀东 | Peking University | Multi-agent RL, Game AI | 32 | 5.0K | 60 | 🇨🇳 |
| 315 | Yingyu Liang 梁迎宇 | University of Wisconsin | ML Theory | 32 | 5.0K | 50 | 🇺🇸 |
| 316 | Wei-Lun Chao 巢维伦 | Ohio State University | Computer Vision, Zero-shot | 32 | 6.0K | 50 | 🇺🇸 |
| 317 | Shiyu Chang 常世宇 | UC Santa Barbara | NLP, Trustworthy AI | 32 | 5.0K | 50 | 🇺🇸 |
| 318 | Xianpei Han 韩先培 | Chinese Academy of Sciences | NLP, Information Extraction | 32 | 4.0K | 80 | 🇨🇳 |
| 319 | Pengtao Xie 谢鹏涛 | UC San Diego | Medical AI, AutoML | 32 | 5.0K | 60 | 🇺🇸 |
| 320 | Sheng Li 李晟 | University of Virginia | Transfer Learning, Graph ML | 32 | 4.0K | 80 | 🇺🇸 |
| 321 | Jason Wei 魏杰森 | OpenAI | NLP, LLMs | 30 | 18K | 30 | 🇺🇸 |
| 322 | Yue Wang 王玥 | USC | 3D Vision, Autonomous Driving | 30 | 6.0K | 30 | 🇺🇸 |
| 323 | Zhihao Jia 贾志豪 | CMU | ML Systems | 28 | 5.0K | 30 | 🇺🇸 |
| 324 | Lianmin Zheng 郑连民 | UC Berkeley | ML Systems | 28 | 8.0K | 25 | 🇺🇸 |
| 325 | Junxian He 何俊贤 | HKUST | NLP, LLMs | 28 | 5.0K | 40 | 🇭🇰 |
| 326 | Lei Zheng 郑磊 | Alibaba | Recommendation Systems | 28 | 4.0K | 50 | 🇨🇳 |
| 327 | Chongxuan Li 李崇轩 | Renmin University | Generative Models, VAE | 28 | 5.0K | 40 | 🇨🇳 |
| 328 | Yuncheng Li 李云成 | ByteDance | Computer Vision, Video | 28 | 5.0K | 40 | 🇨🇳 |
| 329 | Chenxi Liu 刘辰曦 | Johns Hopkins | Computer Vision, NAS | 28 | 6.0K | 30 | 🇺🇸 |
| 330 | Haiping Wu 吴海平 | Microsoft Research | Computer Vision, Video | 28 | 5.0K | 30 | 🇺🇸 |
| 331 | Shan You 尤珊 | SenseTime | Neural Architecture Search | 28 | 4.0K | 40 | 🇨🇳 |
| 332 | Zhijian Liu 刘致剑 | MIT / NVIDIA | Efficient AI, Autonomous Driving | 28 | 5.0K | 25 | 🇺🇸 |
| 333 | Di Wang 王迪 | KAUST | Privacy, ML Theory | 28 | 3.0K | 60 | 🇸🇦 |
| 334 | Shenlong Wang 王申龙 | UIUC | Autonomous Driving, 3D | 28 | 5.0K | 40 | 🇺🇸 |
| 335 | Junbo Zhao 赵俊博 | Zhejiang University | NLP, Generative Models | 28 | 4.0K | 40 | 🇨🇳 |
| 336 | Qianqian Xu 许倩倩 | Chinese Academy of Sciences | Machine Learning, Ranking | 28 | 3.0K | 60 | 🇨🇳 |
| 337 | Feng Liu 刘枫 | University of Melbourne | Transfer Learning, ML Theory | 28 | 3.5K | 50 | 🇦🇺 |
| 338 | Peng Gao 高鹏 | Shanghai AI Lab | Multimodal, LLMs | 28 | 6.0K | 30 | 🇨🇳 |
| 339 | Renjie Liao 廖仁杰 | University of British Columbia | Graph Neural Networks, 3D | 28 | 4.0K | 30 | 🇨🇦 |
| 340 | Bo Zheng 郑博 | Alibaba DAMO | NLP, Machine Translation | 28 | 3.0K | 50 | 🇨🇳 |
| 341 | Yusuf Aytar 艾塔 | Google DeepMind | Multimodal, Robotics | 28 | 5.0K | 20 | 🇬🇧 |
| 342 | Hao Dong 董豪 | Peking University | Robotics, RL, Open Source | 28 | 4.0K | 40 | 🇨🇳 |
| 343 | Yanping Huang 黄延平 | Google DeepMind | ML Systems, LLMs | 28 | 10K | 15 | 🇺🇸 |
| 344 | Xinyi Le 乐心怡 | SJTU | NLP, AI | 28 | 3.0K | 60 | 🇨🇳 |
| 345 | Xiang Yu 余翔 | Amazon | Computer Vision, Face | 28 | 4.0K | 30 | 🇺🇸 |
| 346 | Tao Kong 孔涛 | ByteDance | Computer Vision, Detection | 28 | 5.0K | 30 | 🇨🇳 |
| 347 | Prafulla Dhariwal 达里瓦尔 | OpenAI | Generative Models | 28 | 15K | 10 | 🇺🇸 |
| 348 | Enze Xie 谢恩泽 | NVIDIA / HKU | Computer Vision, Segmentation | 28 | 6.0K | 25 | 🇺🇸 |
| 349 | Yiwen Guo 郭忆文 | ByteDance | Adversarial ML | 28 | 4.0K | 30 | 🇨🇳 |
| 350 | Song Mei 梅松 | UC Berkeley | ML Theory, Statistics | 28 | 5.0K | 30 | 🇺🇸 |
| 351 | Zhuoran Yang 杨卓然 | Yale University | RL Theory | 28 | 4.0K | 40 | 🇺🇸 |
| 352 | Lin F. Yang 杨林 | UCLA | RL Theory, Optimization | 28 | 3.5K | 40 | 🇺🇸 |
| 353 | Hao Tan 谭浩 | Adobe Research | Vision-Language | 28 | 5.0K | 20 | 🇺🇸 |
| 354 | Yue Zhao 赵越 | USC | ML, Anomaly Detection | 28 | 5.0K | 30 | 🇺🇸 |
| 355 | Yuxuan Wang 汪玉璇 | ByteDance / Google (former) | Speech Synthesis | 28 | 5.0K | 25 | 🇺🇸 |
| 356 | Yao Qian 钱瑶 | Microsoft | Speech, Multimodal | 28 | 4.0K | 40 | 🇺🇸 |
| 357 | Pan Zhou 周攀 | NUS | ML Theory, LLMs | 28 | 3.5K | 40 | 🇸🇬 |
| 358 | Da Li 李达 | Samsung AI / University of Edinburgh | Domain Generalization | 28 | 4.0K | 30 | 🇬🇧 |
| 359 | Yanan Sun 孙亚楠 | Sichuan University | NAS, Evolutionary AI | 28 | 3.0K | 50 | 🇨🇳 |
| 360 | Kaidi Xu 徐凯迪 | Drexel University | Trustworthy AI, Verification | 28 | 4.0K | 40 | 🇺🇸 |
| 361 | Yuliang Liu 刘玉良 | HUST | OCR, Scene Text | 28 | 4.0K | 40 | 🇨🇳 |
| 362 | Jiaqi Wang 王嘉琪 | Shanghai AI Lab | Computer Vision, Detection | 28 | 5.0K | 25 | 🇨🇳 |
| 363 | Wenhui Wang 王文辉 | Microsoft Research | NLP, Pre-training | 28 | 6.0K | 20 | 🇨🇳 |
| 364 | Qibin Hou 侯启斌 | NKU | Computer Vision | 28 | 5.0K | 25 | 🇨🇳 |
| 365 | Tianyu Gao 高天宇 | Princeton University | NLP, LLMs | 25 | 8.0K | 25 | 🇺🇸 |
| 366 | Keyulu Xu 许科禄 | MIT | Graph Neural Networks | 25 | 8.0K | 20 | 🇺🇸 |
| 367 | Wang Zeng 曾汪 | SenseTime | Computer Vision, Pose | 25 | 4.0K | 30 | 🇨🇳 |
| 368 | Liangqiong Qu 曲良琼 | HKU | Medical AI | 25 | 3.0K | 40 | 🇭🇰 |
| 369 | Luowei Zhou 周罗伟 | Microsoft | Vision-Language | 25 | 5.0K | 25 | 🇺🇸 |
| 370 | Zheng Zhu 朱政 | Chinese Academy of Sciences | Autonomous Driving | 25 | 4.0K | 40 | 🇨🇳 |
| 371 | Yin Zhou 周殷 | Waymo | Autonomous Driving, 3D Detection | 25 | 5.0K | 15 | 🇺🇸 |
| 372 | Yinda Chen 陈银达 | NVIDIA | 3D Vision, Point Clouds | 25 | 3.5K | 30 | 🇺🇸 |
| 373 | Zhuyun Dai 戴竹芸 | Google Research | Information Retrieval, NLP | 25 | 4.0K | 30 | 🇺🇸 |
| 374 | Lei Bai 白磊 | Shanghai AI Lab | Spatio-temporal Learning | 25 | 3.0K | 40 | 🇨🇳 |
| 375 | Tong He 何通 | Shanghai AI Lab | 3D Vision | 25 | 4.0K | 25 | 🇨🇳 |
| 376 | Wentao Liu 刘文韬 | Huawei | Computer Vision | 25 | 4.0K | 30 | 🇨🇳 |
| 377 | Junyang Lin 林君洋 | Alibaba | NLP, LLMs | 25 | 5.0K | 25 | 🇨🇳 |
| 378 | Hao Fang 方浩 | Apple | NLP, Vision-Language | 25 | 5.0K | 20 | 🇺🇸 |
| 379 | Sheng Zhang 张晟 | Microsoft Health AI | Medical NLP | 25 | 4.0K | 30 | 🇺🇸 |
| 380 | Guoqing Zheng 郑国庆 | Microsoft Research | NLP, Few-shot | 25 | 3.0K | 25 | 🇺🇸 |
| 381 | Rui Wang 王瑞 | MIT | NLP, Machine Translation | 25 | 3.0K | 25 | 🇺🇸 |
| 382 | Lei Cai 蔡磊 | Baidu Research | NLP, Knowledge Graphs | 25 | 3.0K | 40 | 🇨🇳 |
| 383 | Benyou Wang 王贲悠 | CUHK-Shenzhen | NLP, Medical AI | 25 | 3.0K | 30 | 🇨🇳 |
| 384 | Weilong Yang 杨伟龙 | Waymo | Autonomous Driving, 3D | 25 | 4.0K | 20 | 🇺🇸 |
| 385 | Yonglong Tian 田永龙 | Google DeepMind | Self-supervised, Vision | 25 | 6.0K | 15 | 🇺🇸 |
| 386 | Huan Wang 王欢 | Northeastern University (US) | Model Compression | 25 | 3.0K | 30 | 🇺🇸 |
| 387 | Feifei Feng 冯飞飞 | USTC | Recommendation Systems | 25 | 3.0K | 40 | 🇨🇳 |
| 388 | Yatao Bian 卞亚涛 | Tencent AI Lab | Graph ML, Drug Discovery | 25 | 3.0K | 30 | 🇨🇳 |
| 389 | Kaiqing Zhang 张凯卿 | University of Maryland | Multi-agent RL | 25 | 4.0K | 30 | 🇺🇸 |
| 390 | Qingyun Wu 吴清云 | Penn State University | AI Agents, AutoML | 25 | 3.0K | 30 | 🇺🇸 |
| 391 | Chi Wang 王驰 | Microsoft / AutoGen | AI Systems, Agents | 25 | 4.0K | 25 | 🇺🇸 |
| 392 | Sida Wang 王思达 | Microsoft / Former OpenAI | ML, NLP | 25 | 5.0K | 15 | 🇺🇸 |
| 393 | Yinhan Liu 刘寅汉 | Meta AI | NLP, Pre-training | 25 | 18K | 10 | 🇺🇸 |
| 394 | Dinghan Shen 沈鼎瀚 | Microsoft | NLP, Generative | 25 | 3.0K | 25 | 🇺🇸 |
| 395 | Yi Ren 任意 | ByteDance | Speech, Audio | 25 | 4.0K | 30 | 🇨🇳 |
| 396 | Chao Weng 翁超 | Tencent AI Lab | Speech Recognition | 25 | 3.0K | 40 | 🇨🇳 |
| 397 | Haiyang Xu 徐海洋 | Alibaba DAMO | Multimodal, Vision-Language | 25 | 4.0K | 25 | 🇨🇳 |
| 398 | Beidi Chen 陈蓓蒂 | CMU | ML Systems, Efficient AI | 25 | 3.5K | 25 | 🇺🇸 |
| 399 | Nan Yang 杨楠 | Microsoft Research | Information Retrieval | 25 | 4.0K | 25 | 🇺🇸 |
| 400 | Zichao Yang 杨子超 | Google | NLP, Attention | 25 | 10K | 15 | 🇺🇸 |
| 401 | Weihua Chen 陈维华 | Alibaba | ReID, Computer Vision | 25 | 3.0K | 25 | 🇨🇳 |
| 402 | Yao Fu 符尧 | University of Edinburgh | NLP, LLM Reasoning | 22 | 5.0K | 30 | 🇬🇧 |
| 403 | Yujie Zhong 钟宇杰 | ByteDance | Computer Vision | 22 | 3.0K | 25 | 🇨🇳 |
| 404 | Kaihua Tang 唐凯华 | NTU Singapore | Computer Vision, Bias | 22 | 3.0K | 20 | 🇸🇬 |
| 405 | Yinan He 何一楠 | Shanghai AI Lab | Computer Vision, Pose | 22 | 3.0K | 20 | 🇨🇳 |
| 406 | Zhenda Xie 谢振达 | Tsinghua / DeepSeek | Computer Vision, LLMs | 22 | 5.0K | 15 | 🇨🇳 |
| 407 | Yanwei Li 李彦威 | CUHK | Computer Vision | 22 | 3.0K | 20 | 🇭🇰 |
| 408 | Feng Li 李锋 | HKUST | Object Detection | 22 | 3.5K | 20 | 🇭🇰 |
| 409 | Yao Lu 陆遥 | Google DeepMind | NLP, LLMs | 22 | 3.0K | 20 | 🇺🇸 |
| 410 | Yinda Chen (HK) 陈银达(港) | HKUST | 3D Vision | 22 | 3.0K | 25 | 🇭🇰 |
| 411 | Henghui Ding 丁恒辉 | NUS | Computer Vision, Segmentation | 22 | 3.0K | 25 | 🇸🇬 |
| 412 | Jiaxin Li 李嘉鑫 | NUS | 3D Vision, Point Clouds | 22 | 2.5K | 20 | 🇸🇬 |
| 413 | Yihui He 何一辉 | Google | Efficient AI | 22 | 3.0K | 20 | 🇺🇸 |
| 414 | Renrui Zhang 张任锐 | CUHK / Shanghai AI Lab | Multimodal, Vision-Language | 22 | 3.0K | 20 | 🇭🇰 |
| 415 | Siyu Huang 黄思宇 | Tencent | Computer Vision, 3D | 22 | 2.5K | 25 | 🇨🇳 |
| 416 | Yifan Wang (NJU) 王一帆(南大) | Nanjing University | Machine Learning | 22 | 2.5K | 30 | 🇨🇳 |
| 417 | Peidong Liu 刘培栋 | Westlake University | 3D Vision, SLAM | 22 | 2.5K | 25 | 🇨🇳 |
| 418 | Huazhe Xu 徐华哲 | Tsinghua University | Robotics, RL | 22 | 3.0K | 20 | 🇨🇳 |
| 419 | Chen Wei 韦晨 | Meta AI | Self-supervised Learning | 22 | 3.0K | 15 | 🇺🇸 |
| 420 | Zili Yi 易子力 | DJI | Computer Vision, Generative | 22 | 3.0K | 20 | 🇨🇳 |
| 421 | Zirui Wang 王子瑞 | Google DeepMind | NLP, Multimodal | 22 | 3.0K | 15 | 🇺🇸 |
| 422 | Edward Hu 胡翔昊 | OpenAI | ML, Optimization | 22 | 8.0K | 10 | 🇺🇸 |
| 423 | Jianlin Su 苏剑林 | Independent / Zhuiyi Tech | NLP, Position Encoding | 22 | 5.0K | 20 | 🇨🇳 |
| 424 | Lele Chen 陈乐乐 | NVIDIA | Computer Vision, Talking Head | 22 | 2.5K | 20 | 🇺🇸 |
| 425 | Huiwen Chang 常慧文 | Google DeepMind | Image Generation | 22 | 4.0K | 15 | 🇺🇸 |
| 426 | Lvmin Zhang 张吕敏 | Stanford University | Generative AI, Image Editing | 22 | 5.0K | 10 | 🇺🇸 |
| 427 | Fan Bao 鲍凡 | Tsinghua University | Generative Models, Diffusion | 22 | 3.0K | 15 | 🇨🇳 |
| 428 | Lin Song 宋林 | Shanghai AI Lab | Object Detection | 22 | 3.0K | 20 | 🇨🇳 |
| 429 | Wenhao Yu 于文浩 | Tencent | NLP, Knowledge | 22 | 2.5K | 20 | 🇨🇳 |
| 430 | Difan Zou 邹迪凡 | HKU | ML Theory | 22 | 2.5K | 20 | 🇭🇰 |
| 431 | Ge Yang 杨格 | MIT | RL, Robotics | 22 | 2.5K | 15 | 🇺🇸 |
| 432 | Hao Liu (Berkeley) 刘浩(伯克利) | UC Berkeley | RL, LLM Agents | 22 | 2.5K | 15 | 🇺🇸 |
| 433 | Haotian Liu 刘浩天 | University of Wisconsin | Multimodal, LLMs | 22 | 8.0K | 10 | 🇺🇸 |
| 434 | Zhe Chen (SYSU) 陈哲(中大) | SYSU / Shanghai AI Lab | Multimodal, LLMs | 22 | 3.0K | 15 | 🇨🇳 |
| 435 | Yilun Du 杜一伦 | MIT / Harvard | Generative Models, Planning | 22 | 3.0K | 15 | 🇺🇸 |
| 436 | Weijie Liu 刘威杰 | Peking University | NLP, Pre-training | 22 | 3.0K | 15 | 🇨🇳 |
| 437 | Xiao Liu 刘潇 | Tsinghua University | NLP, LLMs | 22 | 5.0K | 15 | 🇨🇳 |
| 438 | Shunyu Yao 姚顺雨 | Princeton / OpenAI | LLM Agents, Reasoning | 22 | 5.0K | 10 | 🇺🇸 |
| 439 | Sean Welleck 维莱克 | CMU | NLP, Reasoning | 22 | 3.0K | 20 | 🇺🇸 |
| 440 | Zhiru Li 李志如 | Google | ML Systems, Compiler | 22 | 2.0K | 15 | 🇺🇸 |
| 441 | Xilin Zhang 张熙林 | DJI | Computer Vision, Drones | 22 | 2.0K | 30 | 🇨🇳 |
| 442 | Mingyu Ding 丁明宇 | UC Berkeley | Autonomous Driving, LLMs | 22 | 3.0K | 15 | 🇺🇸 |
| 443 | Shengyu Zhang 张胜宇 | Zhejiang University | Recommendation, LLMs | 22 | 2.5K | 25 | 🇨🇳 |
| 444 | Guohao Li 李国浩 | KAUST | Graph ML, LLM Agents | 22 | 3.0K | 15 | 🇸🇦 |
| 445 | Nan Hua 花楠 | Google Research | NLP, Semantic Parsing | 22 | 2.5K | 20 | 🇺🇸 |
| 446 | Yaoyao Liu 刘遥遥 | NUS | Few-shot Learning, Continual | 22 | 3.0K | 20 | 🇸🇬 |
| 447 | Ruohan Zhang 张若涵 | Stanford University | Cognitive AI, Robotics | 22 | 2.5K | 20 | 🇺🇸 |
| 448 | Yao-Hung Tsai 蔡耀鸿 | Meta AI | Multimodal, Self-supervised | 22 | 3.0K | 15 | 🇺🇸 |
| 449 | Yuntao Bai 白云涛 | Anthropic | AI Safety, RLHF | 22 | 5.0K | 8 | 🇺🇸 |
| 450 | Yue Wu 吴悦 | Microsoft Research | RL, LLM Agents | 22 | 3.0K | 15 | 🇺🇸 |
| 451 | Hexiang Hu 胡贺翔 | Google DeepMind | Vision-Language, Evaluation | 22 | 3.0K | 15 | 🇺🇸 |
| 452 | Zheng Li 李铮 | Amazon | NLP, E-commerce AI | 22 | 2.0K | 20 | 🇺🇸 |
| 453 | Fangneng Zhan 詹方能 | NTU Singapore | Computer Vision, Generation | 22 | 3.0K | 20 | 🇸🇬 |
| 454 | Xinya Du 杜欣雅 | UT Dallas | NLP, Question Generation | 22 | 3.0K | 20 | 🇺🇸 |
| 455 | Hengtong Hu 胡恒通 | Peking University | Computer Vision | 20 | 2.0K | 15 | 🇨🇳 |
| 456 | Xiang Lisa Li 李想 | Stanford University | NLP, LLMs | 20 | 3.0K | 15 | 🇺🇸 |
| 457 | Pan Lu 陆盘 | UCLA | NLP, Multimodal Reasoning | 20 | 3.0K | 15 | 🇺🇸 |
| 458 | Weijian Deng 邓伟健 | ANU | Computer Vision, Face | 20 | 2.0K | 15 | 🇦🇺 |
| 459 | Jingbo Wang 王竞博 | Shanghai AI Lab | Computer Vision, Motion | 20 | 2.0K | 15 | 🇨🇳 |
| 460 | An Yang 杨安 | Alibaba | NLP, Multimodal | 20 | 3.0K | 15 | 🇨🇳 |
| 461 | Yuqing Du 杜雨青 | UC Berkeley | RL, Foundation Models | 20 | 2.0K | 10 | 🇺🇸 |
| 462 | Lin Chen (USTC) 陈琳(科大) | USTC | Multimodal, LLMs | 20 | 2.0K | 15 | 🇨🇳 |
| 463 | Qingxiu Dong 董庆秀 | Chinese Academy of Sciences | NLP, In-context Learning | 20 | 2.5K | 15 | 🇨🇳 |
| 464 | Chenxi Whitehouse 白辰曦 | University of Cambridge | NLP, Evaluation | 20 | 1.5K | 15 | 🇬🇧 |
| 465 | Lei Huang 黄磊 | Renmin University | NLP, Reasoning | 20 | 2.0K | 20 | 🇨🇳 |
| 466 | Yufei Wang 王宇飞 | University of Oxford | NLP, LLMs | 20 | 1.5K | 12 | 🇬🇧 |
| 467 | Chongjian Ge 葛崇健 | NUS | Computer Vision | 20 | 1.5K | 12 | 🇸🇬 |
| 468 | Xiuyu Li 李修宇 | UC Berkeley | Generative Models | 20 | 1.5K | 10 | 🇺🇸 |
| 469 | Zhan Tong 童展 | NUS | Video Understanding | 20 | 2.0K | 12 | 🇸🇬 |
| 470 | Wei Xiong 熊威 | UIUC | RL, LLM Alignment | 20 | 1.5K | 12 | 🇺🇸 |
| 471 | Zhisheng Xiao 肖智生 | University of Chicago | Generative Models | 20 | 2.0K | 10 | 🇺🇸 |
| 472 | Tianheng Cheng 程天恒 | HUST | Object Detection, Segmentation | 20 | 2.0K | 12 | 🇨🇳 |
| 473 | Ziteng Gao 高梓腾 | NUS | Object Detection | 20 | 1.5K | 10 | 🇸🇬 |
| 474 | Peizhao Li 李沛钊 | Meta AI | Fairness, ML | 20 | 1.5K | 12 | 🇺🇸 |
| 475 | Yusheng Zhao 赵玉胜 | Tsinghua University | LLM Systems | 20 | 1.5K | 10 | 🇨🇳 |
| 476 | Xuezhou Zhang 张学洲 | Princeton University | RL, Online Learning | 20 | 2.0K | 15 | 🇺🇸 |
| 477 | Zhan Xu 徐展 | NVIDIA | 3D Generation | 20 | 1.5K | 10 | 🇺🇸 |
| 478 | Zaiwei Zhang 张载维 | Apple | 3D Vision, Neural Rendering | 20 | 1.5K | 10 | 🇺🇸 |
| 479 | Yifei Ming 明一飞 | University of Wisconsin | OOD Detection, Trustworthy AI | 20 | 1.5K | 12 | 🇺🇸 |
| 480 | Chaoyou Fu 付朝友 | CUHK-Shenzhen | Multimodal LLMs | 20 | 2.0K | 10 | 🇨🇳 |
| 481 | Yuying Ge 葛雨莹 | CUHK | Multimodal, Generation | 20 | 2.0K | 10 | 🇭🇰 |
| 482 | Peng Jin 金鹏 | NTU Singapore | Video Understanding | 20 | 1.5K | 12 | 🇸🇬 |
| 483 | Xingchao Liu 刘星超 | UT Austin | Generative Models, Flow | 20 | 2.0K | 10 | 🇺🇸 |
| 484 | Tiange Luo 罗天歌 | NUS | 3D Generation | 20 | 1.5K | 8 | 🇸🇬 |
| 485 | Yiduo Guo 郭一铎 | Peking University | NLP, Continual Learning | 20 | 1.5K | 10 | 🇨🇳 |
| 486 | Qinyuan Ye 叶沁源 | USC | NLP, Few-shot | 20 | 2.0K | 12 | 🇺🇸 |
| 487 | Jing Huang 黄荆 | UCLA | NLP, Vision-Language | 20 | 2.0K | 12 | 🇺🇸 |
| 488 | Haofei Yu 于浩飞 | NUS | NLP, Information Extraction | 20 | 1.5K | 12 | 🇸🇬 |
| 489 | Jiacheng Yang 杨家成 | Tsinghua University | NLP, Code | 20 | 1.5K | 10 | 🇨🇳 |
| 490 | Shizhe Diao 刁世哲 | HKUST / Tencent | NLP, RLHF | 20 | 2.0K | 12 | 🇭🇰 |
| 491 | Zhiyu Cheng 程志宇 | Tsinghua University | Machine Learning | 20 | 1.5K | 15 | 🇨🇳 |
| 492 | Yuzhe Yang 杨宇哲 | MIT | Trustworthy ML, Fairness | 20 | 2.0K | 12 | 🇺🇸 |
| 493 | Ximeng Sun 孙西萌 | Meta AI | Continual Learning | 20 | 1.5K | 12 | 🇺🇸 |
| 494 | Chengzhi Mao 毛程治 | McGill University | Robust Vision | 20 | 1.5K | 12 | 🇨🇦 |
| 495 | Wenda Li 李文达 | University of Edinburgh | Formal Verification, Math AI | 20 | 1.5K | 15 | 🇬🇧 |
| 496 | Luyu Gao 高路宇 | CMU / Google DeepMind | NLP, Retrieval | 20 | 3.0K | 10 | 🇺🇸 |
| 497 | Yilun Xu 许一伦 | MIT | Generative Models, Diffusion | 20 | 2.0K | 10 | 🇺🇸 |
| 498 | Shitao Xiao 肖世涛 | BAAI | NLP, Information Retrieval | 20 | 2.5K | 10 | 🇨🇳 |
| 499 | Zheng Liu (BAAI) 刘政(智源) | BAAI | NLP, Information Retrieval | 20 | 2.5K | 10 | 🇨🇳 |
| 500 | Anran Wang 王安然 | NTU Singapore | Multimodal, IoT AI | 20 | 1.5K | 15 | 🇸🇬 |