PI@Zhejiang University / Phd from University College London / Interested in machine learning, NLP and AI for sciencescimind.ai London, EnglandJoined September 2017
It's never too much to prioritize biological safety, especially in an era of generative AI. Check our newly accepted ACL paper on generating functional proteins with reduced potential harmfulness 🧬📷 openreview.net/forum?id=Ar1xI…
Glad to share that we will deliver a tutorial at @LogConference on "Integrating Knowledge Graphs and LLMs for Advancing Scientific Research" on 26 Nov with @qzhang_cs & @ChenJiaoyan1. This is a virtual conference and is free to attend. Stay tuned for more details. #AI4Science
Glad to share that we will deliver a tutorial at @LogConference on "Integrating Knowledge Graphs and LLMs for Advancing Scientific Research" on 26 Nov with @qzhang_cs & @ChenJiaoyan1. This is a virtual conference and is free to attend. Stay tuned for more details. #AI4Science
Our new paper just published at #Nature Communications. It is about molecular retrosynthesis prediction which mimics a textural string editing process for molecular string generations.
nature.com/articles/s4146…
📢 Starting from the 27th of October, we, the UCL Web Intelligence group 🥳, are going to start organising recurring in-person seminars on the topics of IR and NLP.
You can follow our events over meetups [meetup.com/ucl-wi-meetup-…]. Stay tuned for follow-ups.
@uclcs @ai_ucl@ucl
📢 Happy to announce that our paper, "A Survey on Asking Clarification Questions Datasets in Conversational Systems" has been accepted to the main #ACL2023 conference! Co-authored with @wangxieric@YueFeng__@qzhang_cs@emine_yilm@AldoLipani
Stay tuned for more details!
I'm excited to share our latest #ICLR2023 paper (openreview.net/pdf?id=XGagtiJ…) where we propose the first prompt-based protein language model. We acquire multi-level protein structures during pre-training and flexibly leverage them to deal with various downstream tasks.
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Different kinds of external knowledge are valuable to build the relationship between the seen and unseen classes in a zero shot setting, including text, attribute, KG, rule & ontology, according to their characteristics, expressivity and the semantic encoding approaches.
I'm excited to announce that my team of UCL students has been selected as one of the ten teams worldwide to compete in the @AmazonScience Alexa Prize TaskBot Challenge.
Curious about what Condita means? More details here: ucl.ac.uk/civil-environm…#conversationalsystems#nlp
Now we just released our v0.1 version of the Beta-RecSys framework. Please check it and enjoy your recommender experiments and building your own model with it. github.com/beta-team/beta… This project also welcomes contributions and suggestions.
Now we just released our v0.1 version of the Beta-RecSys framework. Please check it and enjoy your recommender experiments and building your own model with it. github.com/beta-team/beta… This project also welcomes contributions and suggestions.
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cool research at @arxiv_daily
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8K Followers 124 FollowingSeminar series on machine learning for protein engineering. Details for seminars and slack are on our website. DM us if you're interested in presenting!
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251 Followers 303 FollowingAI Researcher @Huawei Noah's Ark Lab (Singapore), previous @TerrierTeam, University of Glasgow. Recommendation & AI Agent. The opinions are mine.
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