News

Mar 2024

5 of our papers (4 full & 1 resource) got accept by SIGIR’24. Congratulations!

Mar 2024

Our paper ‘MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion’ got accepted by NAACL 2024. Congratulations!

Feb 2024

Our paper ‘Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models’ got accepted by LREC-COLING 2024. Congratulations!

Feb 2024

Our paper ‘Large Multimodal Model Compression via Efficient Pruning and Distillation’ got accepted by WWW 2024 (industry track). Congratulations!

Jan 2024

Our paper ‘When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions’ got accepted by WWW 2024. Congratulations!

Dec 2023

Our paper ‘Tensorized Hypergraph Neural Networks’ got accepted by SDM 2024. Congratulations!

Dec 2023

Our paper ‘D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations’ got accepted by AAAI 2024. Congratulations!

Dec 2023

Our paper ‘SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation’ got accepted by ICDE 2024. Congratulations!

Nov 2023

Yu Li has been appointed as an assistant professor at Jilin University. Congratulations!

Nov 2023

Our paper ‘SMLP4Rec: An Efficient all-MLP Architecture for Sequential Recommendations’ got accepted by TOIS. Congratulations!

Nov 2023

Our paper Dynamically Engineered Multi-modal Feature Learning for Predictions of Office Building Cooling Loads got accepted by Applied Energy. Congratulations!

Nov 2023

Our team is honored to receive the CCF-BaiChuan-Ebtech Foundation Model Fund (CCF-百川-英博大模型基金).

Nov 2023

Our survey On the Opportunities of Green Computing: A Survey is online.

Oct 2023

Our survey Embedding in Recommender Systems: A Survey is online.

Oct 2023

2 of our papers got accept by WSDM’24. Congratulations!

Oct 2023

Our paper ‘A Comprehensive Survey on Automated Machine learning for Recommendations’ got accepted by TORS. Congratulations!

Oct 2023

1 MS student (Jie Wang) receives Outstanding Dissertation Award (summer 2023) and 4 MS students (Kecheng, Jiangping, Bo Li, and Jiaocong) receive Outstanding Research Project Award (summer 2023). Congratulations!

Sep 2023

5 of our papers (2 main & 3 Datasets and Benchmarks) got accept by NeurIPS’23. Congratulations!

Sep 2023

7 PhD students (Wenlin, Zichuan, Dayan, Yusheng, Jiawei, Siqi and Derong) are welcome to join the AML Lab!

Sep 2023

Our paper FedTensor got accepted by ICDM. Congratulations!

Sep 2023

1 paper got accepted by TKDE. Congratulations!

Aug 2023

Four of our members receive the Research Tuition Scholarship (RTS-CityU) and two of them also receive the Outstanding Academic Performance Award (OAPA-CityU). Congratulations!

Aug 2023

Our paper FGCL got accept by Information Sciences. Congratulations!

Aug 2023

9 of our papers (7 full & 2 short) got accept by CIKM’23. Congratulations!

July 2023

Our team is honored to receive the CCF-Tencent Rhino-Bird Fund (CCF-腾讯犀牛鸟基金)

July 2023

Our paper AutoAssign+ got accept by Knowledge and Information Systems (KAIS). Congratulations!

June 2023

Our paper STRec got accept by Recsys’23. Congratulations!

June 2023

Three of our members receive travel grants from IJCAI’23.

June 2023

Three of our members are selected as volunteers for IJCAI’23.

May 2023

2 of our papers got accept by KDD’23. Congratulations!

May 2023

Our new tutorial (Trustworthy RS) got accepted by KDD’23. Congratulations!

May 2023

Congratulations to our team for winning the Silver Medal at the International Exhibition of Inventions Geneva

Apr 2023

We will provide 2 tutorials about Joint Modeling in Recommendations and Trustworthy Recommender Systems @ IJCAI’23

Apr 2023

Our paper ‘Adversarial Attacks for Black-box Recommender Systems via Copying Transferable Cross-domain User Profiles’ is accepted by TKDE. Congratulations!

Apr 2023

7 of our papers (5 full & 2 short) got accept by SIGIR’23. Congratulations!

Feb 2023

Our new survey Multi-Task Deep Recommender Systems: A Survey is online

Feb 2023

Our new survey Multimodal Recommender Systems: A Survey is online

Jan 2023

2 PhD students (Pengyue and Xiaopeng) are welcome to join the AML Lab!

Jan 2023

9 of our papers got accept by WWW’23. Congratulations!

Jan 2023

We will co-organize the DLP workshop @ KDD’23

Dec 2022

Our team is honored to receive the CCF-Ant Research Fund (CCF-蚂蚁科研基金)

Dec 2022

We will provide a tutorial of AutoML for Deep Recommender Systems @ WSDM’23

Dec 2022

We will provide a tutorial of Trustworthy Recommender Systems @ WWW’23

Dec 2022

Our team won the Outstanding Project (8/34) in CCF-Tencent Open Fund, congratulations to team members Yejing and Qidong!

Nov 2022

Our ICDM’22 paper AutoAssign was selected as one of the best-ranked papers

Nov 2022

Zijian and Chunxu’s paper AutoSTL got accepted by AAAI23. Congratulations!

Oct 2022

1 paper got accepted by WSDM’23

Oct 2022

Welcome ! — our lab website is officially starting!

Sep 2022

1 paper got accepted by ICDM’22, congratulations to Fengyi

Sep 2022

Welcome to our latest survey of trustworthy recommender systems in collaboration with the PolyU, MSU, and UST teams.

Sep 2022

11 PhD students (Zijian, Yejing, Yuhao, Jingtong, Maolin, Yuanshao, Ziru, Langming, Xiao Han, Qidong, Wei Ni) are welcome to join the AML Lab!

Aug 2022

Our team won the Gold Medal and Top 10 best innovation award in the 7th International Invention Innovation Competition in Canada (iCAN 2022), co-supervised with Dr. Liang Dong

Aug 2022

A keynote talk at DLP workshop @ KDD’22

Aug 2022

Four of our CIKM2022 submissions have been included. Congratulations to pengfei, haochen, kesen, muyang, zijian, chi and xinhang! (Link: [1], [2], [3], [4])

Jul 2022

Welcome to our 3rd Workshop on Deep Reinforcement Learning for Information Retrieval.

May 2022

3 of our members’ KDD submissions have been accepted. Congratulations to weilin, yejing and zhengzhi! (Link: [1], [2], [3])

May 2022

Our team won the Gold Award with Grand Prize (US$13,000) and the Microsoft Outstanding AI Influencer Award in the Global AI Challenge for Building E&M Facilities, co-supervised with Prof. S Joe QIN

May 2022

Our team ranked the 3rd place in Carbon Neutral Competition track of the 3rd Shandong Data Competition, co-supervised with Prof. S Joe QIN

Apr 2022

We provide tutorial Automated Machine Learning for Recommendations @ WWW’22

Apr 2022

1 paper got accepted by IJCAI’22, congratulations to Muyang and Chuan

Apr 2022

1 paper got accepted by SIGIR’22

Mar 2022

1 workshop proposal got accepted by SIGIR’22

Jan 2022

3 papers got accepted by WWW’22, especial congratulations to Yejing for his first paper with AML@CityU

Jan 2022

1 paper got accepted by ICLR

Jan 2022

1 paper got accepted by TOIS

Dec 2021

1 tutorial got accepted by WWW’22

Dec 2021

Our ICDM paper was selected as one of the best-ranked papers

Dec 2021

1 paper got accepted by AAAI’22

Sep 2021

Prof. Xiangyu Zhao joined the School of Data Science at CityU as a tenure-track assistant professor!