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william li uc san diego yijiang william li email yijiangli at ucsd dot edu jacobs hall 9500 gilman dr la jolla ca 92093 i m yijiang 1 william li a first year phd student in machine learning and data science electrical and computer engineering at uc san diego i earned my m s e in computer science at johns hopkins university jhu and b s in computer science in computer science at south china university of technology i have had the privilege of working with prof alan yuille as an research assistant in ccvl and with prof haohan wang at dream lab uiuc i have spent time working as research intern at beijing academy of artificial intelligence and sensetime research i have co founded the growai a research organization and community aiming to promote the research of ai that can learn and grow like humans my research focuses on the learning aspects of ai to enable efficient e g label efficiency iccv23 cvpr23 sample effiency aaai25 iccv25 and synthetic data and robust learning iccv23 tmlr in multi modal iclr25 iccv25 interactive and 3d embodied environments particularly i am interested in understanding and evaluating multi modal large language models mllms e g core knowledge can language in nature semantic abstracted and compositional be used to scaffold vision learning e g as anchor representation intrinsic 3d world 3d aware architecture for mllms 3d representation emergence from 2d supervision etc embodiment theory learning with indirect feedback usually in social scenarios and interactive learning learn and inference simultaneously i am also broadly interested in the various applications of ai e g llm agents mas ai4sci and ai4health bio contact github g scholar linkedin twitter growai hi there visitor welcome to my virtual home news pubs internship edu service ️misc cv blog this browser fails to spport inline pdf reader please download the pdf file 2025 06 three papers accepted by iccv 2025 2025 06 one paper accepted by tpami 2025 05 two first author papers accepted by icml 2025 2025 04 invited talk at ploutosai on growing ai like a child 2025 04 invited talk at tcn jhu on what is in the data from the perspective of dataset distillation 2025 02 one paper accepted by cvpr 2025 2025 01 one paper accepted by iclr 2025 2024 12 one paper accepted by aaai 2025 2024 10 one paper accepted by tmlr check out here 2024 09 i received the jacobs fellowshop at uc san diego 2024 09 i started my phd in machine learning and data science at uc san diego 2023 10 code for our iccv 20203 paper diverse co training is now available here on github 2023 10 two papers accepted by iccv 2023 including one first author paper 2023 06 consistent teacher is presented at cvpr 2023 as highlight top 2 5 2023 02 i started my m s e in computer science at johns hopkins university 2022 06 my first first author paper more than encoder is presented at bibm 2022 2022 06 awarded the outstanding thesis award 2022 05 i graduated from the south china university of technology videoorion tokenizing object dynamics in videos yicheng feng yijiang li wanpeng zhang hao luo zihao yue sipeng zheng zongqing lu equal contribution international conference on computer vision iccv 2025 paper slides core knowledge deficits in multi modal language models yijiang li qingying gao tianwei zhao bingyang wang haoran sun haiyun lyu dezhi luo hokin deng international conference on machine learning icml 2025 website paper code dataset slides egoprivacy what your first person camera says about you yijiang li jiacheng cheng yi li genpei zhang xiaojun shan dashan gao jiancheng lyu yuan li ning bi nuno vasconcelos international conference on machine learning icml 2025 website paper code towards understanding adversarial transferability in federated learning yijiang li ying gao haohan wang transactions on machine learning research paper beyond finite data towards data free out of distribution generalization via extrapolation yijiang li sucheng ren weipeng deng yuzhi xu ying gao haohan wang preprint paper under review paper dataset distillation via the wasserstein metric haoyang liu yijiang li tiancheng xing vibhu dalal luwei li jingrui he haohan wang international conference on computer vision iccv 2025 website paper code diverse co training makes strong semi supervised segmentor yijiang li xinjiang wang lihe yang litong feng wayne zhang ying gao international conference on computer vision iccv 2023 website paper code poster multi metrics adaptively identifies backdoors in federated learning siquan huang yijiang li chong chen leyu shi ying gao international conference on computer vision iccv 2023 website paper code poster consistent teacher towards reducing inconsistent pseudo targets in semi supervised object detection xinjiang wang xingyi yang shilong zhang yijiang li litong feng shijie fang chengqi lyu kai chen wayne zhang computer vision and pattern recognition cvpr 2023 highlight top 2 5 website paper code more than encoder introducing transformer decoder to upsample yijiang li wentian cai ying gao chengming li xiping hu ieee international conference on bioinformatics and biomedicine bibm 2022 paper beijing academy of artificial intelligence intern researcher june 2024 oct 2024 video large language model sensetime research intern researcher jul 2021 nov 2022 sample efficient learning semi and weakly supervised learning webank machine learning engineer jun 2020 sep 2020 large scale public sentiment and risk control university of california san diego ph d in machine learning and data science electrical and computer engineering oct 2024 present jacobs fellowshop gpa 3 94 4 0 johns hopkins university m s e in computer science jan 2023 june 2024 gpa 4 0 4 0 south china university of technology b e in computer science sep 2018 jul 2022 gpa 3 73 4 0 2018 19 scholarship outstanding thesis awards the affiliated high school of south china normal university high school diploma sep 2015 jul 2018 reviewer 2025 reviewer icml 2025 cvpr 2025 aistats 2025 iclr 2025 2024 reviewer neurips 2024 teaching assistant en 553 436 636 introduction to data science fall 2023 teaching assistant instructor prof tamás budavári en 601 482 682 machine learning deep learning fall 2023 course assistant instructor prof mathias unberath en 553 436 636 introduction to data science spring 2023 teaching assistant instructor prof tamás budavári prof soledad villar chat i am happy to discuss collaborations and chat about research please select a time slot and drop me a note below football i love playing football and enjoy being part of the football varsity team of school of computer science and engineering check out the trophies we won left and our team right travel check out some pics from my travel here are meili snow mountains left and humble administrator s garden right written in chinese as 黎羿江 and pronunced as yee jee ahng lee ︎ template from here