Jin
@_Jin_Huang_Postdoc at @UvA_IvI and @tudelft | previously PhD @irlab_amsterdam
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🚨🚨🚨Tutorial Recording Alert!🚨🚨🚨 We just released the recording of our tutorial titled: Unbiased Learning to Rank: On Recent Advances in the Foundations and Applications youtu.be/fcqCkjgOnJ8 Originally presented at the #SIGIR2023, #FIRE2023 and #WSDM2024 conferences.
Thrilled to share that our workshop, "AgentIR: 1st Workshop on Agent-based Information Retrieval" at #SIGIR2024, was a resounding success! A huge thank you to all our speakers, participants, and supporters who made it possible. See you next time! agentirworkshop.github.io/about
👏 Glad that our paper "Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems" with @HarrieOos, @MansouryMasoud, @herkevanhoof, and @mdr is one of the nominees for Best Paper at #SIGIR2024. Check it here: dl.acm.org/doi/10.1145/36…
Happy to share that our full paper "Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems" with @_Jin_Huang_, @HarrieOos, @herkevanhoof, and @mdr has been accepted at #SIGIR2024.
👏 Our last invited speaker Prof. Joemon Jose from University of Glasgow is presenting: Reinforcement Learning-based Recommender Systems
👏 Our third speaker Shuchang Liu from Kuaishou presented his work on Comprehensive Reinforcement Learning-based Formulations and Environments for RecSys!
👏 Our third speaker Shuchang Liu from Kuaishou presented his work on Comprehensive Reinforcement Learning-based Formulations and Environments for RecSys!
Our second invited speaker Chongming Gao from University of Science and Technology of China is presenting: Modeling, Evaluation, and Mitigation of Filter Bubbles and Matthew Effects in Offline RL-based Recommender Systems
Our second invited speaker Chongming Gao from University of Science and Technology of China is presenting: Modeling, Evaluation, and Mitigation of Filter Bubbles and Matthew Effects in Offline RL-based Recommender Systems
👏Our first invited speaker Debasis Ganguly @debforit is presenting -- Sequential Decision Making for Proactive and Conversational Information Retrieval. #DRL4IR@CIKM2023, Brimingham.
👏Our workshop will start in about 2h. Check out our program: coda.io/@drl4ir-cikm23… If you are in CIKM, please feel free to join!
Very proud to share our (@XinXin_SDU, @XiangyuZhao_,@_Jin_Huang_, Weinan Zhang, Li Zhao, @yindawei, @GraceHuiYang ) 4th Workshop on Deep Reinforcement Learning for Information Retrieval (DRL4IR) at CIKM 2023 on Oct 22nd, in Birmingham, UK: coda.io/@drl4ir-cikm23…. 🤩
One month (until Oct 2 at 23:59 AoE) to submit to our #NeurIPS2023 workshop on #causal #representation #learning, connecting the #causality and representation learning communities 🚀 Have ideas in this domain? Submit max 6 pages of unpublished research at openreview.net/group?id=NeurI…
🚨CFP #Causal #Representation #Learning @NeurIPSConf 2023 WS🚨 Do you have ideas on how to learn #causal representations from raw data, e.g. images, #abstract #macro variables or leverage #causality in #ML? Then submit a max 6 pg paper to our workshop crl-workshop.github.io
📢 Submission deadline extension The deadline for submissions to our workshop has been extended to September 6 (AOE). ➡️ Take this opportunity to submit your work and make a contribution to the field of DRL4IR! 🎉🎉🎉
DRL4IR@CIKM23 is open for submissions! Check out our call for papers: easychair.org/conferences/?c…. We are looking forward to your work, the deadline is Aug 31. 🎉
DRL4IR@CIKM23 is open for submissions! Check out our call for papers: easychair.org/conferences/?c…. We are looking forward to your work, the deadline is Aug 31. 🎉
Very proud to share our (@XinXin_SDU, @XiangyuZhao_,@_Jin_Huang_, Weinan Zhang, Li Zhao, @yindawei, @GraceHuiYang ) 4th Workshop on Deep Reinforcement Learning for Information Retrieval (DRL4IR) at CIKM 2023 on Oct 22nd, in Birmingham, UK: coda.io/@drl4ir-cikm23…. 🤩
Very proud to share our (@XinXin_SDU, @XiangyuZhao_,@_Jin_Huang_, Weinan Zhang, Li Zhao, @yindawei, @GraceHuiYang ) 4th Workshop on Deep Reinforcement Learning for Information Retrieval (DRL4IR) at CIKM 2023 on Oct 22nd, in Birmingham, UK: coda.io/@drl4ir-cikm23…. 🤩
🌟 Excited to showcase our tutorial work this Sunday! 👏Hope to see you onsite or online!
🚀Exciting news! Join us @SIGIRConf this Sunday for a tutorial on the latest advancements in Unbiased Learning-to-rank!📈 Hope to see you soon! Here's a preview of the lecture docs.google.com/presentation/d… @_Jin_Huang_ @AliVardasbi Philipp Hager @HarrieOos @irlab_amsterdam #SIGIR2023.
📢 SEA in May! This edition is about cognitive biases in recommenders w/ @ylyuliang (TU Eindhoven) and Atanu R Sinha (Adobe). 📷 May the 26th, 17:00 CET, in-person at Lab42 or online 📷! Sign-up now 📷:✅ meetup.com/sea-search-eng…
📢 SEA in March! This edition is about social media and graph-based rec. w/ Ira Ktena @s0f1ra (DeepMind) and L. Yang (Uni. of Illinois at Chicago). 🗓️ March the 31st, 17:00 CET, in-person at Lab42 or online 💻 Open to everyone 🌍! Sign-up now ✅: meetup.com/sea-search-eng…
Incredibly honoured to receive the #ICTIR2022 best paper award!🥳🎉 On #SIGIR Tuesday at 16:30, I'll present: Reaching the End of Unbiasedness: Uncovering Implicit Limitations of Click-Based Learning to Rank Info and registration: ictir2022.org/awards Below a sneak-peak!🧩
I'm presenting this today at 16:30 in room "Valle Inclán" on the 5th floor. Hope to see you there! 😄 #SIGIR2022 #ICTIR2022 #SIGIR
Incredibly honoured to receive the #ICTIR2022 best paper award!🥳🎉 On #SIGIR Tuesday at 16:30, I'll present: Reaching the End of Unbiasedness: Uncovering Implicit Limitations of Click-Based Learning to Rank Info and registration: ictir2022.org/awards Below a sneak-peak!🧩
Pre-announcement: 14 fully funded positions in conversational intelligence. Join us to work on algorithmic challenges in conversational intelligence, w/diverse team of supervisors around the Netherlands. Expected opening date: Q3/2022. Details at lessen-project.nl (1/17)
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