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DSE Lab @ MSU Profile
DSE Lab @ MSU

@dse_msu

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Data Science and Engineering Lab Director: Dr. Jiliang Tang (@tangjiliang)

East Lansing, MI, USA
Joined November 2016
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@dse_msu
DSE Lab @ MSU
@dse_msu
1 month
🔍 Key Highlights: ✅ A holistic GraphRAG framework ✅ Domain-specific techniques and insights (knowledge graphs, document graphs, molecular graphs & more) ✅ Challenges and Future directions 📝 Read the full survey here: #Graphs #RAG #MachineLearning
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@dse_msu
DSE Lab @ MSU
@dse_msu
2 months
📢Call for Papers: LLM for E-Commerce Workshop @ WWW'25 📅April 28-29, 2025 | Sydney, Australia 🌍 Explore how LLMs are transforming e-commerce: foundations, applications & systems. 📝Submit: (by Jan 26, 2025 AoE) 👉Details:
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@dse_msu
DSE Lab @ MSU
@dse_msu
2 months
RT @snowzeng2: 🎯 Detect & Filter RAG Contexts with LLM Representations Excited to share our work on Representation-based knowledge checkin…
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@dse_msu
DSE Lab @ MSU
@dse_msu
2 months
RT @hshomer97: 📢 I'm on the faculty job market this year! My past research has focused on Graph ML, with an emphasis on link prediction (L…
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@dse_msu
DSE Lab @ MSU
@dse_msu
7 months
RT @yuplin2333: ✨ Excited to share our new preprint "Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis"! htt…
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@dse_msu
DSE Lab @ MSU
@dse_msu
7 months
RT @snowzeng2: 🚀 Excited to share our latest research on enhancing privacy in RAG systems! Our paper introduces SAG…
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@dse_msu
DSE Lab @ MSU
@dse_msu
8 months
RT @hshomer97: 2) "Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion" a joint project with Jay Revolinsky and @jil…
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@dse_msu
DSE Lab @ MSU
@dse_msu
8 months
RT @hshomer97: 1) "Understanding the Generalizability of Link Predictors Under Distribution Shifts on Graphs" a joint projectled led by co-…
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@dse_msu
DSE Lab @ MSU
@dse_msu
8 months
RT @WenzhuoTang: 🙋‍♂️What is the wildest dream for graph foundation models? 🎯Graph across domains → a single model → all the downstream…
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@dse_msu
DSE Lab @ MSU
@dse_msu
10 months
RT @haitao_mao_: "A Data Generation Perspective to the Mechanism of In-Context Learning". We investigate the mechan…
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@dse_msu
DSE Lab @ MSU
@dse_msu
11 months
RT @rjthuer: Exciting News! Our new paper on memorization in text-to-image diffusion is now available. We delve into the understanding of m…
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@dse_msu
DSE Lab @ MSU
@dse_msu
11 months
RT @rjthuer: Our paper for LLM watermark is accepeted by NAACL findings! We proposed a new method to strengthen the robustness of watermark…
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@dse_msu
DSE Lab @ MSU
@dse_msu
11 months
RT @JiayuanDing: Exciting News! Our DANCE version 1, "DANCE: a deep learning library and benchmark platform for single-cell analysis" is no…
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@dse_msu
DSE Lab @ MSU
@dse_msu
11 months
RT @Xiaojie_Qiu: With the imaging-based spatial transcriptomics such as MERFISH, seqFISH, CosMx SMI, Xenium and others, have you ever wonde…
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@dse_msu
DSE Lab @ MSU
@dse_msu
1 year
2/2 Discover the dual-edged sword of RAG technology in our paper and explore our code for innovative privacy solutions. #NLP #Privacy #AIethics Paper: Code:
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@dse_msu
DSE Lab @ MSU
@dse_msu
1 year
RT @snowzeng2: 🔒💡 Excited to share our latest #RAG #Privacy research! We've uncovered two pivotal aspects: 1️⃣ Privacy challenges within RA…
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@dse_msu
DSE Lab @ MSU
@dse_msu
1 year
RT @haitao_mao_: See our new repo including (1) theoretical guidance (2) existing benchmark datasets and (3) existi…
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@dse_msu
DSE Lab @ MSU
@dse_msu
1 year
2/2: We examine it from two distinct viewpoints: the copyrights pertaining to the source data held by the data owners and those of the generative models maintained by the model builders. 📚 Dive in now:
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