Wei Yang Bryan Lim
Assistant Professor
Works on collaborative and federated learning, AI safety and sustainable AI.
Wei Yang Bryan Lim's lab at NTU works on trustworthy & safe ML, data management & big data and human-AI collaboration & trust. 38 papers since 2023, 9 at top venues, mostly ICLR and AAAI. 16 PhD students.
At a glance
- papers, 2023–2026
- 10/ year
- at T1 venues
- 24%
- PhD students
- 16
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 32 papers2026 · T1 6 · collecting
- 6 papers2025 · T1 3
- 0 papers2024 · T1 0
- 0 papers2023 · T1 0
T1 venuesOtherVenues: ICLR, AAAI, TKDE, TNNLS, WWW
Research focuspaper titles that use each topic's words
- Data management & big data3 papers
- federated learning3 papers
- sustainable1 paper
- Trustworthy & safe ML0 papers
- Human-AI collaboration & trust0 papers
Paper list
From the lab homepage.
202632 papers
- ICLR (T1)AdaCache: Adaptive Caching and Context Augmentation for Efficient LLM Serving
- In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics.AdapTools: Adaptive Tool-based Indirect Prompt Injection Attacks on Agentic LLMs
- In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics.Advancing ESG Intelligence: An Expert-level Agent and Comprehensive Benchmark for Sustainable Finance
- In Advances in Neural Information Processing Systems (NeurIPS).Align Before Aggregation: Basis-Consistent Federated LoRA under Heterogeneous Ranks
- The Forty- International Conference on Machine Learning (ICML).An Empirical Study on the Resilience of Partial Merging to Model Clone Attacks
- In Advances in Neural Information Processing Systems (NeurIPS).C3H: Compression-to-Consensus Criteria Hijacking in Multimodal LLM Recommender Systems
- The Forty- International Conference on Machine Learning (ICML).Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing
- IEEE Transactions on Mobile Computing.Communication-Pipelined Split Federated Learning for Foundation Model Fine-Tuning in UAV Networks
- ICLR (T1)Disrupting Hierarchical Reasoning: Adversarial Protection for Geographic Privacy in Multimodal Reasoning Models
- In Proceedings of the European Conference on Computer Vision (ECCV).DualTAP: A dual-task adversarial protector for mobile MLLM agents
- In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Oral.FedAdamom: Adaptive momentum for improved generalization in federated optimization
- Transportation Research Part E: Logistics and Transportation Review, 214, 105016.FedGNN-SFCP: Federated graph neural networks for ship fuel consumption prediction with heterogeneous data fusion and missing data imputation
20256 papers
- Neural Information Processing Systems (NeurIPS), .AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference
- ICLR (T1)Enhancing Federated Domain Adaptation with Muti-Domain Prototype-Based Federated Fine-Tuning
- TKDE (T1)Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense
- Neural Information Processing Systems (NeurIPS), .FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning
- TNNLS (T1)SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter
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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