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Coding the Next Wave of Intelligence

Introduction

AI Engine Lab is a research team at Gaoling School of Artificial Intelligence, Renmin University of China. Our team is driven by a passion for technological advancement and innovation. We hope that through our efforts, we can provide more in-depth, equitable, and reliable methods and strategies for the fields of artificial intelligence. The research directions of our lab include Large language model, causal inference and recommendation system.

Openings: we are always looking for highly self-motivated students to work with us as PhD, master or visiting students. Please email us at xu.chen@ruc.edu.cn if you are interested in our team.

News

2024-3-15

Congrats to Jiakai Tang and Yabin Zhang: Papers on recommendation got accepted by DASFAA 2024.

2024-3-13

Congrats to Yabin Zhang: The Paper on recommendation got accepted by ICME 2024.

2024-3-12

Congrats to Hao Yang: The Paper on fairness-aware recommendation got accepted by TOIS 2024.

2024-3-10

Congrats to Lei Wang, Chen Ma, Xueyang Feng: The Survey on LLM-based agent got accepted by FCS.

2024-1-23

Congrats to Lei Wang: The Paper on recommendation debias got accepted by TheWebConf 2024.

2024-1-16

One paper on causal inference got accepted by ICLR 2024 spotlight.

2023-12-15

Congrats to Zexu Sun and Jingsen Zhang: Two papers on causal inference and explainable recommendation got accepted by ICASSP 2024.

2023-12-5

Congrats to Lei Wang: The paper on controllable recommendation got accepted by AAAI 2024 oral, where we reformulate recommendation as a game theory problem.

2023-11-25

Congrats to Weiqi Shao: Our paper won the Best Paper Honorable Mention Award at SIGIR-AP 2023.

2023-9-22

Congrats to Jingsen Zhang: Our explainable recommendation dataset REASONER got accepted by NeurIPS 2023 Dataset and Benchmarks Track.

2023-9-22

Congrats to Zexu Sun: The Paper on causal inference and reinforcement learning got accepted by NeurIPS 2023.

2023-9-19

We have released the second version of "RecAgent".

2023-9-8

We have released the second version of "A Survey on LLM-based Autonomous Agents".

2023-8-23

We have released a survey paper "A Survey on LLM-based Autonomous Agents". See Highlighted Research for more details.

2023-6-21

Congrats to Jiakai Tang and Hao Yang: Papers on fairness aware recommendation got accepted by RecSys 2023.

2023-6-5

We have released the first version of "RecAgent", which explores the intersection of user behavior analysis and LLM-based autonomous agents. See Highlighted Research for more details.

2023-5-22

Congrats to Zeyu Zhang: Tne paper on robust recommendation got accepted by KDD 2023.

2023-4-4

Congrats to Rui Zhou: Tne paper on robust recommendation got accepted by SIGIR 2023.

2023-3-16

Give talks on "Recent advances in Explainable Recommendation" at MLNLP, University of Science and Technology of China (USTC) and BAAI.

2023-3-2

We have built a new explainable recommendation dataset REASONER.

2023-1-25

Congrats to Jingsen Zhang and ZhenLei Wang: Papers on explainable and robust recommendation got accepted by TheWebConf 2023.

2023-1-15

Our paper on "RecBole" got CIKM 2022 best resource paper runner up award.

2023-1-7

One paper on debiased recommendation got accepted by TOIS 2023.

2022-9-10

Papers on explainable recommendation and RecBole got accepted by ICDE 2023 and CIKM 2022.

2022-7-7

One paper on reinforcement learning got accepted by Artificial Intelligence (AIJ) 2022.

2022-6-20

One paper on AI creation got accepted by MM 2022.

2022-6-5

Welcome to submit papers to ACM Transactions on Recommender Systems (TORS) Special Issue on Causal Inference for Recommender Systems.

2022-2-15

One survey paper on the evaluation of explainable recommendation was released.

2022-1-20

Congrats to ZhenLei Wang and Kun Lin : Papers on debiased and explainable recommendation got accepted by TheWebConf 2022.

2021-8-11

Our recommendation tool RecBole (https://recbole.io/) got accepted by CIKM 2021.

2021-8-11

Papers on explainable and causal recommendation got accepted by CIKM 2021.

2021-5-8

One paper on multi-agent evaluation and matrix completion got accepted by ICML 2021.

2021-4-15

One paper on causal recommendation got accepted by SIGIR 2021.

2021-1-16

Two papers on recommendation and reinforcement learning got accepted by TheWebConf 2021.

2020-12-20

Paper on multi-agent RL got accepted by AAMAS 2021.

2020-11-19

Join Gaoling School of Artificial Intelligence, Renmin University of China as an assistant professor.