Chen Gao is a Faculty Member (Research-track AP) of BNRist, Tsinghua University. He is a member of the Research Center for Urban Science and Computing, a member of the EmbodiedAI Team at BNRist, and a mentor at Zhongguancun Academy. He received his Ph.D. Degree (advised by Prof. Yong Li and Prof. Depeng Jin) and Bachelor's Degree from the Department of Electronic Engineering, Tsinghua University in 2021 and 2016, respectively.

His current research primarily focuses on world models, embodied intelligence, LLM/VLM agents, and multimodal reasoning systems, with 100+ CCF-A papers in top-tier venues and 10,000+ citations.

He was a visiting research scholar at the NExT Center, National University of Singapore, advised by Prof. Tat-Seng Chua and Prof. Xiangnan He. He is on the Stanford/Elsevier Top 2% Scientists List 2024 and 2025, received the ACL 2024 Outstanding Paper Award, and served as Area Chair for NeurIPS, ICML, ICLR, KDD, ACL ARR, WWW, and other venues.

Google Scholar Profile GitHub Projects

World Models

Benchmarks and generative models for embodied environments, long-horizon visual generation, and physical simulation.

Embodied Intelligence

Embodied agents that perceive, navigate, reason, and act in real-world city-scale spaces.

LLM/VLM Agents

Agentic reasoning, social simulation, recommendation, and decision support powered by foundation models.

Information Retrieval & Data Science

Early work in information retrieval and data mining, with continuing interests in recommendation, social computing, and data-driven intelligence.

We welcome self-motivated interns, collaborators, Postdocs, PhD students, Master's students, and undergraduates interested in foundation models for embodied and open-world intelligence. If your interests match, please reach out with a concise CV, research interests, and representative work.

Tsinghua undergraduates

Year-round research mentoring; we have experience guiding undergraduates across different years to publish high-quality papers.

External undergraduates / Master's students

Beijing/Shenzhen/Shanghai-based research internships (or remote) are welcome, with possible funding support and direct-admission or regular PhD application support for strong-fit candidates.

Early-stage PhD students

Joint mentoring and long-term collaboration are welcome, especially on world models and embodied agents.

Final-year PhD candidates

Postdoctoral positions are available for candidates who would like to continue independent research.

World Models Embodied Intelligence VLM/LLM Agents Multimodal Reasoning Airdrones and Robotics Computer Vision and Spatial Intelligence Social Simulation and Recommender Systems

Recent Highlights

New ResearchWorld Model

Worldscape-MoE

A unified mixture-of-experts world model for scalable heterogeneous action control.

Project Paper

IROS 2026Challenge

WorldArena 2.0 Challenge

The IROS 2026 WorldArena 2.0 Challenge is open for embodied world model evaluation. I lead this challenge, co-led with Dr. Yu Shang and Prof. Yong Li.

Challenge Homepage 机器之心报道

CVPR 2026Challenge

WorldArena 1.0 Challenge

The CVPR 2026 WorldArena Challenge evaluates embodied world models on perception quality and functional utility.

Challenge Homepage WorldArena

Spatial IntelligencePapers

Spatial Intelligence Papers

A focused collection of recent papers on urban embodied intelligence, 3D spatial reasoning, aerial navigation, and embodied world models.

Paper Collection Publications GitHub

News

New! [Jul. 10, 2026]The IROS 2026 WorldArena Challenge 2.0 competition opens. Please see the 机器之心报道 and challenge homepage for more details.
New! [Jul. 4, 2026]We released Worldscape-MoE, a unified mixture-of-experts world model for scalable heterogeneous action control. The paper is available on arXiv.
New! [Jul. 1, 2026]ANWM, our navigation world model paper, is accepted by ACM MM 2026.
New! [Jul. 1, 2026]The human-level spatial action benchmark paper is accepted by KDD 2026 as an Oral paper.
New! [Jun. 17, 2026]We release some preprint papers about world models. Welcome to take a look!
New! [May. 2, 2026]Papers on world models are accepted by ICML 2026.
New! [Apr. 8, 2026]Papers on VLM and LLM agents are accepted by ACL 2026 main conference.
New! [Mar. 18, 2026]The CVPR 2026 WorldArena 1.0 Challenge is open, following the WorldArena benchmark and related media coverage.
New! [Mar. 18, 2026]Papers on world model and embodied agents are accepted by CVPR 2026 and ICME 2026.
New! [Mar. 1, 2026]We released WorldArena, a benchmark on embodied world models.
New! [Dec. 10, 2025]Papers are accepted by ACM TOIS and KDD 2026.
[Nov. 8, 2025]Four papers about visual language models and VLM agents are accepted by AAAI 2026.
[Oct. 10, 2025]The survey on large reasoning models is accepted by Cell Patterns.
[Sep. 19, 2025]Two papers are accepted by NeurIPS 2025. One is about world model and another is about token pruning for accelerating VLMs.
[Aug. 21, 2025]Four papers are accepted by EMNLP 2025 Main Conference: Embodied QA in City, theoretical analysis for LLM response, LLM-driven agents on social media, depression detection with LLM.
[Aug. 1, 2025]Three papers are accepted by ACM MM 2025: Embodied-R (Embodied spatial reasoning with RL post-training), AirScape (Aerial world model), and Open3D-VQA (3D VQA benchmark in open world).
[Jun. 3, 2025]We released some preprint papers about vision-language models: token pruning for accelerating VLMs, spatial reasoning of 3D VLMs, hallucinations of 3D VLMs.
[Jun. 3, 2025]We released some preprint papers on urban embodied intelligence: GeoNav, CityAVOS, DIMM.
[Jun. 3, 2025]We released some preprint papers about large language models empowered agents-based simulation: cultural bias, filter bubble, polarization.
[Jun. 2, 2025]One paper about dynamic graph neural networks is accepted by ACM TOIS.
[May. 16, 2025]Four papers on large language models are accepted by ACL 2025 and Findings of ACL 2025.
[Apr. 29, 2025]One survey about 3D LLMs is accepted by IJCAI 2025.
Show more

[Mar. 7, 2025]We released a survey on large language model agents for recommendation and search. Check the preprint paper for more information.
[Mar. 7, 2025]We released three benchmarks on outdoor embodied intelligence: Open3DVQA, CityEQA and UrbanVideo-Bench.
[Feb. 20, 2025]We released a preprint paper about evaluation of spatial intelligence.
[Feb. 19, 2025]We released a large-scale social simulator: AgentSocity 1.0. Check the preprint paper for more information.
[Feb. 8, 2025]One paper about large language models for session-based recommendation is accepted by ACM TOIS.
[Jan. 21, 2025]Two full papers and one resource-track paper are accepted by The Web Conference 2025.
[Jan. 16, 2025]We released a survey about reinforced reasoning with large language models.
[Jan. 16, 2025]We released a survey about responsible large language models.
[Nov. 17, 2024]Paper about graph neural network-based intelligent education is accepted by KDD 2025 (August track).
[Nov. 10, 2024]Two papers are accepted by AAAI 2025. One is about large language model and another is about learning from long behavioral sequence with spare attention.
[Nov. 2, 2024]Two papers about large language model-based recommender system are accepted by ACM TOIS (One is about collborative filtering and another is about knowledge-based recommendation). We have also released a paper about large language model-based sequential recommendation.
[Oct. 23, 2024]Paper about complex network resilience prediction with graph neural network is published in Nature Communications. [Paper Link]
[Oct. 12, 2024]We released EmbodiedCity. For more details, please refer to the preprint paper, GitHub, and website. We will also organize a related workshop in ICLR 2025.
[Sep. 26, 2024]Paper about attacking large language models is accepted by NeurIPS 2024. [Paper Link]
[Sep. 18, 2024]I am selected as one of Stanford/Elsevier Top 2% Scientists.
[Aug. 15, 2024]Our survey paper on agent-based modeling and simulation with LLM agents is accepted by Humanities and Social Sciences Communications. For more details, please refer to the paper link.
[June. 21, 2024]We organized the Embodied Decision Intelligence Workshop.
[May. 22, 2024]I am selected as a Distinguished Reviewer of ACM TORS.
[May. 16, 2024]One paper about economic simulation with large language agents is accepted by ACL 2024 main conference. It receives ACL 2024 Outstanding Paper Award.
[Apr. 14, 2024]I am invited to give a talk about LLM-based combinational optimization in the 3rd forum on intelligent decision-making, Institute of Automation, CAS.
[Mar. 26, 2024]Our paper about user fatigue in recommender system is accepted by SIGIR 2024.
[Mar. 16, 2024]Our paper about stance detection with large language model agent is accepted by ICWSM 2024.
[Mar. 7, 2024]I am invited to give a talk about filter bubble in recommender system in Data Science Seminar of the School of EECS, The University of Queensland.
[Feb. 2, 2024]Three papers are accepted by ACM Web Conference 2024 (WWW 2024).
[Nov. 25, 2023]I am invited to give a talk about LLM-based social simulation and economic simulation in CCF RLChina 2023.
[Nov. 9, 2023]Our survey about causal inference-based recommender system is accepted by ACM Transactions on Information Systems (ACM TOIS). We have also released the 2nd Version on arXiv.
[Nov. 1, 2023]I am invited to give a talk about AutoML-based recommender system in CCF Student Pilot Program.
[Oct. 21, 2023]I am invited to give a talk about causal inference-based recommender system in DataFun Summit.
[Oct. 20, 2023]Two papers about recommendation are accepted by ACM International Conference on Web Search and Data Mining as oral paper (WSDM 2024).
[Sep. 8, 2023]One paper about urban knowledge graph is accepted by ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2023).
[Sep. 3, 2023]I will serve as Social Media Co-chair of SIGIR 2024.
[Aug. 5, 2023]One paper about short-video recommendation is accepted by ACM International Conference on Information and Knowledge Management (CIKM 2023).
[Jul. 26, 2023]One paper about recommendation robustness is accepted by ACM International Conference on Multimedia (ACMMM 2023).
[Jun. 21, 2023]One paper about short-video recommendation is accepted by ACM Conference on Recommender Systems (RecSys 2023).
[May. 30, 2023]I am invited to be a Program Committee (PC) Member of ACM International Conference on Information and Knowledge Management (CIKM 2023).
[May. 17, 2023]Three papers on recommendation, urban vulnerability, and living demands prediction are accepted by ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023).
[Apr. 25, 2023]I am invited to be a Program Committee (PC) Member of ACM Multimedia Conference (ACMMM 2023).
[Apr. 14, 2023]One paper on knowledge graph-based recommendation is accepted by ACM Transactions on Information Systems (ACM TOIS).
[Apr. 5, 2023]One full paper and one short paper on micro-video recommendation and cold-start recommendation are accepted by ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023).
[Mar. 3, 2023]I am invited to be a Program Committee (PC) Member of ACM Conference on Recommender Systems (RecSys 2023).
[Jan. 25, 2023]Three papers on controllable recommender system, sequential recommendation, and social recommendation are accepted by TheWebConf (TheWebConf/WWW 2023).
[Dec. 23, 2022]I am invited to be a Program Committee (PC) Member of ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023).
[Oct. 30, 2022]One paper on disentangling geographical effect for point-of-interest recommendation is accepted by IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE).
[Sep. 19, 2022]I am invited to be a Program Committee (PC) Member of International Conference on Artificial Intelligence and Statistics (AISTATS 2023).
[Aug. 29, 2022]We have released a survey on causal inference for recommender systems.
[Aug. 25, 2022]Our survey paper about graph neural network-based recommender systems is accepted by ACM Transactions on Recommender Systems.
[Aug. 2, 2022]One full research paper and one short research paper are accepted by ACM Conference on Information and Knowledge Management (CIKM 2022).
[Jun. 30, 2022]One paper on short-video recommendation is accepted by ACM Multimedia Conference (ACM MM 2022).
[May. 19, 2022]Two papers on user intention discovery and user decision-factor are accepted by ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022).
[May. 17, 2022]One paper on disentangling social conformity and social influence for recommendation is accepted by IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE).
[Apr. 1, 2022]Two short papers on sequential recommendation and session-based recommendation are accepted by ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022).
[Feb. 25, 2022]We hosted the tutorial on "Graph Neural Networks for Recommender System" in ACM International Conference on Web Search and Data Mining (WSDM 2022).
[Dec. 30, 2021]I am invited to be a Program Committee (PC) Member of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) and International Conference on Machine Learning (ICML 2022).
[Nov. 8, 2021]I am invited to give a talk about the GNN-RecSys survey in the Departmental Seminars (COMP 6911 & COMP 6912) Fall 2021 of the Dept. of ECE, HKUST.
[Oct. 28, 2021]Our tutorial proposal of "Graph Neural Networks for Recommender System" is accepted by ACM International Conference on Web Search and Data Mining (WSDM 2022).
[Sep. 27, 2021]We have released a survey entitled "Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions" at arXiv.
[Aug. 1, 2021]I am invited to be a Program Committee (PC) Member of TheWebConf 2022, International Conference on Learning Representations (ICLR 2022), ACM International Conference on Web Search and Data Mining (WSDM 2022), AAAI Conference on Artificial Intelligence (AAAI 2022), and International Joint Conference on Artificial Intelligence (IJCAI 2022).
[Apr. 17, 2021]I am invited to be a Program Committee (PC) Member of Conference on Neural Information Processing Systems (NeurIPS 2021).
[Mar. 17, 2021]I am invited to be a Program Committee (PC) Member of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2021).

Survey

Yu Shang, et al. A Survey of Embodied World Models, preprint, 2025
Jingwen Sun, et al. Integrating World Models into Vision Language Action and Navigation: A Comprehensive Survey, preprint, 2025
Jirong Zha, et al. How to Enable LLM with 3D Capacity? A Survey of Spatial Reasoning in LLM, IJCAI Survey Track, 2025
Yu Zhang, et al. Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval, preprint, 2025
Fengli Xu, et al. Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models, Cell Patterns, 2025
Huandong Wang, et al. A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy, preprint, 2025
Chen Gao, et al. Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives, Humanities and Social Sciences Communications, 2024
Chen Gao, et al. Causal Inference in Recommender Systems: A Survey and Future Directions (ESI Highly-cited Paper), ACM Transactions on Information Systems (TOIS), 2023
Chen Gao, et al. A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions, ACM Transactions on Recommender Systems (TORS), 2022

Workshop

ICLR 2025 Workshop on Embodied Intelligence with Large Language Models in Open City Environment: From Indoor to Outdoor. [Website]

Tutorial

Publications [Full List on Google Scholar]

Preprint

Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control

J. Fang et al.

arXiv:2607.03964, 2026

WorldScape Policy: Generalizable Robotic Learning via a Foundation World Model

Technical Report, 2026

Dreaming when Necessary: Advancing World Action Models with Adaptive Multi-Modal Reasoning

Y. Tang et al.

arXiv:2606.07089, 2026

WorldFly: A World-Model-Based Vision-Language-Action Model for UAV Navigation

S. Zheng et al.

arXiv:2606.06147, 2026

EventPrune: Cascaded Event-Assisted Token Pruning for Efficient First-Person Dynamic Spatial Reasoning

P. Ma et al.

arXiv:2605.19506, 2026

WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform

Y. Shang et al.

arXiv:2605.17912, 2026

WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation

B. Zhao et al.

arXiv:2605.15964, 2026

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs

H. Jiang et al.

arXiv:2605.11856, 2026

WorldMAP: Bootstrapping Vision-Language Navigation Trajectory Prediction with Generative World Models

H. Chen et al.

arXiv:2604.07957, 2026

WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models

Y. Shang et al.

arXiv:2602.08971, 2026

CP4D: Compositional Physics-aware 4D Scene Generation

H. Zhu et al.

arXiv:2606.09187, 2026

LongScape: Advancing Long-Horizon Embodied World Models with Context-Aware MoE

Y. Shang et al.

arXiv:2509.21790, 2025

The Year of 2026:

Large Language Models for Computational Social Science

F. Xu, C. Shao, L. Chen, Q. Zeng, Z. Chen, N. Sukiennik, J. Wang, Chen Gao, H. Wang, J. Lian, Q. Meng, X. Xie, Y. Li, J. Evans

Nature Human Behaviour, 2026

iWorld-Bench: A Benchmark for Interactive World Models with a Unified Action Generation Framework

J. Fang, Y. Lei, Q. Wan, Z. Wang, Y. Huang, Y. Xu, B. Zhao, W. Zhang, Chen Gao, X. Chen, Y. Li

Forty-third International Conference on Machine Learning (ICML), 2026. (CCF-A)

Training-Free Sparse Attention for Fast Video Generation via Offline Layer-Wise Sparsity Profiling and Online Bidirectional Co-Clustering

J. Luo, J. Chen, J. Wang, C. Wang, H. Zhu, Q. Sun, Chen Gao, Z. Chen, J. Li

Forty-third International Conference on Machine Learning (ICML), 2026. (CCF-A)

Contrastive Weak-to-Strong Generalization

H. Jiang, J. Fang, J. Wu, T. Zhang, Chen Gao, X. Wang, X. He, Y. Deng

Forty-third International Conference on Machine Learning (ICML), 2026. (CCF-A)

Aerial World Model for Long-horizon Visual Generation and Navigation in 3D Space

W. Zhang, P. Tang, X. Zeng, F. Man, S. Yu, Z. Dai, B. Zhao, H. Chen, Y. Shang, W. Wu, Chen Gao, X. Chen, X. Wang, Y. Li, W. Zhu

ACM International Conference on Multimedia (ACM MM), 2026. (CCF-A)

Semantic Audio-Visual Navigation in Continuous Environments

Y. Zeng, H. Wang, M. Liu, Y. Zhou, Chen Gao, K. Chen, G. Huang

IEEE/CVF Conference on Computer Vision & Pattern Recognition (CVPR), 2026. (CCF-A)

RoboScape-R: Unified Reward-Observation World Models for Generalizable Robotics Training via RL

Y. Tang, Y. Shang, Y. Chen, B. Wei, X. Zhang, S. Yu, L. Shi, C. Yu, Chen Gao, W. Wu, Y. Li

IEEE/CVF Conference on Computer Vision & Pattern Recognition (CVPR) Findings, 2026. (CCF-A)

CityCube: Benchmarking Cross-view Spatial Reasoning on Vision-Language Models in Urban Environments

H. Xu, Y. Hu, Z. Zhu, Chen Gao, Z. Wang, J. Rao, W. Lu, W. Li, Q. Yin, Y. Li

The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026. (CCF-A)

Learn to Relax with Large Language Models: Solving Constraint Optimization Problems via Bidirectional Coevolution

B. Liu, Z. Zhu, Chen Gao, T. Pu, Y. Zhao, W. Qi, Q. Yin

The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026. (CCF-A)

EgoPrune: Efficient Token Pruning for Egomotion Video Spatial Reasoning in Embodied Agents

J. Li, K. Li, Chen Gao, X. Chen

The IEEE International Conference on Multimedia & Expo 2026 (ICME), 2026. (CCF-B)

SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World

J. Zhang, Chen Gao, L. Zhang, Q. V. H. Nguyen, H. Yin

The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF-A)

AirCopBench: A Benchmark for Multi-drone Collaborative Embodied Perception and Reasoning

J. Zha, Y. Fan, T. Zhang, G. Chen, Y. Chen, Chen Gao, X. Chen

The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF-A)

Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic Methodology

Y. Ji, Z. Zhu, Y. Zhao, B. Liu, Chen Gao, Y. Zhao, S. Qiu, Y. Hu, Q. Yin

The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF-A)

DIMM: Decoupled Multi-hierarchy Kalman Filter via Reinforcement Learning

J. Zha, Y. Fan, K. Li, H. Li, Chen Gao, X. Chen

The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF-A)

DSPIGCN: Dual-stream Physics-informed Graph Convolutional Network for Reliable Pedestrian Trajectory Prediction

R. Guo, B. Chen, Z. Zhu, Chen Gao, Y. Zhao, Q. Yin

ACM Conference on Knowledge Discovery and Data Mining (KDD), 2026. (CCF-A)

How Far Are Large Multimodal Models from Human-Level Spatial Action? A Benchmark for Goal-Oriented Embodied Navigation in Urban Airspace

B. Zhao, Z. Wang, J. Fang, Z. Zhou, Y. Xu, Y. Ji, J. Xu, Q. Zhang, W. Zhang, Chen Gao, X. Chen

ACM Conference on Knowledge Discovery and Data Mining (KDD), Oral, 2026. (CCF-A)

DRAR: Diffusion-Based Relation Augmentation for Knowledge-aware Recommendation

Y. Peng, Chen Gao, T. Dan, Y. Li, X. Meng.

ACM Transactions on Information Systems (TOIS), 2026. (CCF-A)

The Year of 2025:

Balanced Token Pruning: Accelerating Vision Language Models Beyond Local Optimization

K. Li, X. Chen, Chen Gao, Y. Li, X. Chen.

Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. (CCF-A)

RoboScape: Physics-informed Embodied World Model

Y. Shang, X. Zhang, Y. Tang, L. Jin, Chen Gao, W. Wu, Y. Li

Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight, 2025. (CCF-A)

AirScape: An Aerial Generative World Model with Motion Controllability

B. Zhao, R. Tang, M. Jia, Z. Wang, F. Man, X. Zhang, Y. Shang, W. Zhang, Chen Gao, W. Wu , X. Chen, Y. Li

ACM International Conference on Multimedia (ACM MM), 2025. (CCF-A)

Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

B. Zhao, Z. Wang, J. Fang, Chen Gao, F. Man, J. Cui, X. Wang, X. Chen, Y. Li, W. Zhu

ACM International Conference on Multimedia (ACM MM), 2025. (CCF-A)

Open3DVQA: A Benchmark for Comprehensive Spatial Reasoning with Multimodal Large Language Model in Open Space

W. Zhang, Z. Zhou, Z. Zheng, Chen Gao, J. Cui, Y. Li, X. Chen, XP. Zhang

ACM International Conference on Multimedia (ACM MM), Dataset and Benchmark Track, 2025. (CCF-A)

Depression Detection on Social Media with Large Language Models

X. Lan, Z. Han, Y. Cheng, L. Sheng, J. Feng, Chen Gao, Y. Li

Empirical Methods in Natural Language Processing, (EMNLP), 2025. (CCF-B)

CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space

Y. Zhao, K. Xu, Z. Zhu, Y. Hu, Z. Zheng, Y. Chen, Y. Ji, Chen Gao, Y. Li, J. Huang

Empirical Methods in Natural Language Processing, (EMNLP), 2025. (CCF-B)

Psychology-driven LLM Agents for Explainable Panic Prediction on Social Media during Sudden Disaster Events

M. Liu, Z. Zhu, C. Ai, Chen Gao, X. Li, L. He, K. Lai, Y. Chen, X. Lu, Y. Li, Q. Yin

Empirical Methods in Natural Language Processing, (EMNLP), 2025. (CCF-B)

Analyzing and Modeling LLM Response Lengths with Extreme Value Theory: Anchoring Effects and Hybrid Distributions

L. Jiao, Chen Gao, Y. Yang, C. Zhou, Y. Huang, Y. Li, X. Chen

Empirical Methods in Natural Language Processing, (EMNLP), 2025. (CCF-B)

UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces

B. Zhao, J. Fang, Z. Dai, Z. Wang, J. Zha, W. Zhang, Chen Gao, Y. Wang, J. Cui, X. Chen, Y. Li

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), Oral, 2025. (CCF-A)

CityNavAgent: Aerial Vision-and-Language Navigation with Hierarchical Semantic Planning and Global Memory

W. Zhang, Chen Gao, S. Yu, R. Peng, B. Zhao, Q. Zhang, J. Cui, X. Chen, Y. Li

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025. (CCF-A)

Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from Psychometrics

W. Xu, D. Lyu, W. Wang, J. Feng, Chen Gao, Y. Li

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025. (CCF-A)

Open-Set Living Need Prediction with Large Language Models

X. Lan, J. Feng, Y. Sun, Chen Gao, J. Lei, X. Shi, H. Luo, Y. Li

Findings of ACL, 2025. (CCF-A)

On the Cross-Graph Transferability of Dynamic Link Prediction

Z. Pan, Chen Gao, F. Cai, W. Chen, X. Zhang, H. Chen, Y. Li.

ACM The Web Conference (TheWebConf/WWW), 2025. (CCF-A)

Social Bots Meet Large Language Model: Political Bias and Social Learning Inspired Mitigation Strategies

J. Piao, Z. Lu, Chen Gao, Y. Li.

ACM The Web Conference (TheWebConf/WWW), 2025. (CCF-A)

A Large-scale Dataset with Behavior, Attributes, and Content of Mobile Short-video Platform

Y. Shang, Chen Gao, N. Li, Y. Li.

ACM The Web Conference (TheWebConf/WWW), Resource Track, 2025. (CCF-A)

Multi-view Intent Learning and Alignment with Large Langue Models for Session-based Recommendation

S. Qiao, Chen Gao, J. Wen, W. Zhou, Q. Luo, P. Chen, Y. Li.

ACM Transactions on Information Systems (TOIS), 2025. (CCF-A)

Breaking Student-Concept Sparsity Barrier for Cognitive Diagnosis

P. Shao, K. Zhang, Chen Gao, L. Chen, M. Cai, L. Wu, Y. Li, M. Wang.

Frontiers of Computer Science, 2025. (CCF-B)

MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector

W. Fu, H. Wang, Chen Gao, G. Liu, Y. Li, T. Jiang.

Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF-A)

Iterative Sparse Attention for Long-sequence Recommendation

G. Lin, J. Luo, Y. Li, Chen Gao, Q. Luo, D. Jin.

Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF-A)

Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education

P. Shao, Y. Yang, Chen Gao, L. Chen, K. Zhang, C. Zhuang, L. Wu, Y. Li, M. Wang.

ACM Conference on Knowledge Discovery and Data Mining (KDD), 2025. (CCF-A)

Light Dynamic Graph Learning on Temporal Networks

Z. Pan, Chen Gao, F. Cai, H. Chen, Y. Li.

ACM Transactions on Information Systems (TOIS), 2025. (CCF-A)

Disentangled Interest Network for Out-of-Distribution CTR Prediction

Y. Zheng, Chen Gao, J. Chang, Y. Niu, Y. Song, D. Jin, M. Wang, Y. Li.

ACM Transactions on Information Systems (TOIS), 2025. (CCF-A)

Privacy-Preserving Recommendation with Coarse-Grained Spatiotemporal Contexts

L. Chen, Chen Gao, J. Lei, X. Du, X. Shi, H. Luo, D. Jin, Y. Li, M. Wang.

Science China Information Sciences, 2025. (CCF-A)

Can't Stop Scrolling: Understanding the Online Behavioral Factors and Trends of Short-Video Addiction

JY. Wang, N. Sukiennik, J. Piao, Z. Pan, Chen Gao, Y. Li

The International AAAI Conference on Web and Social Media (ICWSM), 2025. (CCF-B)

Large Language Model Agent for Hyper-Parameter Optimization

S. Liu, Chen Gao, Y. Li

CPAL 2025

The Year of 2024:

EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities

N. Li, Chen Gao, M Li, Y. Li, Q. Liao

The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Main Conference, 2024. (Oral, Outstanding Paper Award, CCF-A)

Deep Learning Resilience Inference for Complex Networked Systems

C. Liu, F. Xu, Chen Gao, Z. Wang, Y. Li, J. Gao

Nature Communications, 2024

Enhancing ID-based Recommendation with Large Language Models

L. Chen, Chen Gao, D. Jin, Y. Li, M. Wang

ACM Transactions on Information Systems (TOIS), 2024. (CCF-A)

Denoising Alignment with Large Language Model for Recommendation

Y. Peng, Chen Gao, Y. Zhang, T. Dan, X. Du, H. Luo, Y. Li, X. Meng

ACM Transactions on Information Systems (TOIS), 2024. (CCF-A)

Membership Inference Attacks against Large Language Models via Self-prompt Calibration

W. Fu, H. Wang, Chen Gao, G Liu, Y. Li, T. Jiang

Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. (CCF-A)

Modeling User Fatigue for Sequential Recommendation

N. Li, X. Bai, C. Ling, Chen Gao, L. Hu, P. Jiang, K. Gai, Y. Li, Q. Liao

ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024. (CCF-A)

Stance Detection with Collaborative Role-Infused LLM-Based Agents

X. Lan, Chen Gao, D. Jin, Y. Li

The International AAAI Conference on Web and Social Media (ICWSM), 2024. (Spotlight, CCF-B)

Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation

N. Sukiennik, Chen Gao and N. Li

ACM The Web Conference (TheWebConf/WWW), 2024. (CCF-A)

Full-stage Diversified Recommendation: Large-scale Online Experiments in Short-video Platform

N. Li, Y. Pan, Chen Gao, D. Jin and Q. Liao

ACM The Web Conference (TheWebConf/WWW), 2024. (CCF-A)

Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing

Y. Shang, Chen Gao, J. Chen, D. Jin and Y. Li

ACM The Web Conference (TheWebConf/WWW), 2024. (CCF-A)

Inverse Learning with Extremely Sparse Feedback for Recommendation

G. Lin, Chen Gao, Y. Zheng, Y. Li, J. Chang, Y. Niu, Y. Song, K. Gai, Z. Li, D. Jin, Y. Li

ACM International Conference on Web Search and Data Mining (WSDM), oral, 2024. (CCF-B)

Mixed Attention Network for Cross-domain Sequential Recommendation

G. Lin, Chen Gao, Y. Zheng, Y. Li, J. Chang, Y. Niu, Y. Song, K. Gai, Z. Li, D. Jin, Y. Li, M. Wang

ACM International Conference on Web Search and Data Mining (WSDM), oral, 2024. (CCF-B)

The Year of 2023:

Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System

Y. Pan, N. Li, Chen Gao, J. Chang, Y. Niu, Y. Song, D. Jin, Y. Li.

ACM International Conference on Information and Knowledge Management (CIKM), 2023. (CCF-B)

Modeling Multi-Grained User Preference in Location Visitation

Y. Qin, Chen Gao, T. Zhen, H. Wu, S. Wei, Y. Wang, L. Zhang, Y. Li.

ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL, full, acceptance rate=15.7%), 2023. (CCF-C)

Enhancing Adversarial Robustness of Multi-modal Recommendation via Modality Balancing

Y. Shang, Chen Gao, J. Chen, D. Jin, H. Ma, Y. Li.

ACM International Conference on Multimedia (ACM MM), 2023. (CCF-A)

Understanding and Modeling Passive-Negative Feedback for Sequential Short-video Recommendation

Y. Pan, Chen Gao, Y. Song, K. Gai, Depeng Jin, Y. Li.

ACM Conference on Recommender Systems (RecSys), 2023. (CCF-B)

Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering

Y. Wen, Chen Gao, L. Yi, L. Qiu, Y. Wang, and Y. Li.

ACM Conference on Knowledge Discovery and Data Mining (KDD), 2023. (CCF-A)

NEON: Living Needs Prediction System in Meituan

X. Lan, Chen Gao, W. Shi, X. Chen, Y. Che, H. Zhang, H. Wei, H. Luo, and Y. Li.

ACM Conference on Knowledge Discovery and Data Mining (KDD), 2023. (CCF-A)

Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network

J. Mao, L. Cao, Chen Gao, H. Wang, H. Fan, D. Jin, and Y. Li.

ACM Conference on Knowledge Discovery and Data Mining (KDD), 2023. (CCF-A)

Learning Fine-grained User Interests for Micro-video Recommendation

Y. Shang, Chen Gao, J. Chen, D. Jin, Y. Li, and M. Wang.

ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. (CCF-A)

Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation

T. Liu, Chen Gao, Z. Wang, D. Li, J. Hao, D. Jin, and Y. Li.

ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, short), 2023. (CCF-A)

Alleviating Video-Length Efect for Micro-video Recommendation

Y. Quan, J. Ding, Chen Gao, N. Li, L. Yi, D. Jin, and Y. Li.