Yiping Ke
Associate Professor
Works on graph learning and mining, transfer learning and machine learning for physics modelling, with applications to engineering design and brain analysis.
Yiping Ke's lab at NTU works on graph mining & networks, data management & big data and graph learning. 17 papers since 2023, 12 at top venues, mostly CIKM and ECCV.
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 71%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 6 papers2025 · T1 5
- 7 papers2024 · T1 5
- 4 papers2023 · T1 2
T1 venuesOtherVenues: CIKM, ECCV, ICLR, AAAI, ICDE
Research focuspaper titles that use each topic's words
- Graph mining & networks6 papers
- Graph learning6 papers
- Data management & big data2 papers
- engineering design0 papers
- transfer learning0 papers
Paper list
From the lab homepage.
20256 papers
- WWW (T1)ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation
- ICLR (T1)BrainOOD: Out-of-Distribution Generalizable Brain Network Analysis
- MICCAI (T1)BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification
- KDD (T1)Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations
- EAAIRethinking the Message Passing for Graph-Level Classification Tasks in a Category-Based View
- ICLR (T1)Text4Seg: Reimagining Image Segmentation as Text Generation
20247 papers
- Information SciencesA Class-Aware Representation Refinement Framework for Graph Classification
- ICDE (T1)Alleviating the Inconsistency of Multimodal Data in Cross-Modal Retrieval
- ECCV (T1)ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference
- CIKM (T1)Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification
- IEEE Transactions on Medical Imaging (TMI), 43(9): 3292 - 3305Contrastive Graph Pooling for Explainable Classification of Brain Networks
- ECCV (T1)ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation
- AAAI (T1)Union Subgraph Neural Networks
20234 papers
- IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 45(6): 7142-7156Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression
- CIKM (T1)CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning
- Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks TrackData-Driven Network Neuroscience: On Data Collection and Benchmark
- NeurIPS (T1)SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.