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