News
Call for papers: the Frontiers of AI and Data Science Competitions special issue in Frontiers of Computer Science is now open for submissions.
New papers at KDD 2026 and ICML 2026 on autonomous data science, travel agents, efficient agent reasoning, and flood forecasting.
New work at ICLR 2026 and The Web Conference 2026 on multimodal scientific discovery, cooperative urban agents, and spatiotemporal reasoning.
New papers at KDD 2026 and AAAI 2026 on extreme-weather forecasting, subseasonal-to-seasonal weather forecasting, travel-time estimation, and recommendation.
Three papers were accepted to NeurIPS 2025, exploring agentic scientific discovery, mathematical modeling agents, and test-time reasoning.
LLMLight received the KDD 2025 Audience Appreciation Award.
Congratulations to Jindong Han on joining Shandong University as an Associate Professor.
Received an Outstanding Reviewer recognition from KDD 2025.
Five papers were accepted to KDD 2025 on time-series modeling, nuclear-radiation forecasting, ride-hailing agents, and scientific retrieval.
One paper on language-model-empowered spatiotemporal forecasting was accepted to IJCAI 2025.
Congratulations to Weijia Zhang on receiving the 2025 Baidu Scholarship.
The LLMLight team received a Special Award and Gold Medal at the International Exhibition of Inventions Geneva 2025.
Our work on compact pre-trained spatiotemporal predictive models was accepted to VLDB 2025.
Three papers were accepted to ICLR 2025 and The Web Conference 2025, including a spotlight on retrieval utility measurement for RAG.
Our group received reviewer recognitions from KDD 2025.
Three papers were accepted to KDD 2025 on traffic-control agents, automated spatiotemporal forecasting, and graph adaptation.
Two papers were accepted to NeurIPS 2024 on urban knowledge-graph agents and LLM jailbreak evaluation.
Our IEEE recommended practice for applying knowledge graphs to talent services was formally published.
Started serving as an Associate Editor of IEEE Transactions on Big Data.
BigST received a VLDB 2024 Best Research Paper Nomination.
We presented a tutorial on Urban Foundation Models at KDD 2024.
Three papers were accepted to KDD 2024 on congestion prediction, federated graph learning, and irregular traffic forecasting.
Our work on irregular multivariate time-series forecasting was accepted to ICML 2024.