Yibo Yang
副教授
Works on large models and agents, lifelong learning and trustworthy AI, including mitigating forgetting in fine-tuning.
Yibo Yang's lab at SJTU works on trustworthy & safe ML, large language models and interpretability, evaluation & safety of LMs. 19 papers since 2023, 17 at top venues, mostly ICLR and ACL. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 89%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 7 papers2026 · T1 7 · collecting
- 4 papers2025 · T1 3
- 3 papers2024 · T1 3
- 5 papers2023 · T1 4
T1 venuesOtherVenues: ICLR, ACL, CVPR, ICML, NeurIPS
Research focuspaper titles that use each topic's words
- Large language models5 papers
- Interpretability, evaluation & safety of LMs1 paper
- Trustworthy & safe ML0 papers
- lifelong0 papers
- large models0 papers
Paper list
From the lab homepage.
20267 papers
- ICLR (T1)A Guardrail for Safety Preservation: When Safety-Sensitive Subspace Meets Harmful-Resistant Null-Space
- ICML (T1)Benchmarking at the Edge of Comprehension
- ICLR (T1)CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention
- ICLR (T1)Imitating the Truth: Attention-aware Truth-Guided Enhancement for Hallucination Mitigation in Large Vision-Language Models
- EMNLP (T1)Mitigating Model Merging Conflicts via Knowledge-Aware Task Vector Purification
- ACL (T1)PDR: A Plug-and-Play Positional Decay Framework for LLM Pre-training Data Detection
- ACL (T1)Safeguarding LLM Fine-tuning via Push-Pull Distributional Alignment
20254 papers
- CVPR (T1)Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization
- International Conference in Computer Vision, ICCVInstruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs
- NeurIPS (T1)Optimization-Inspired Few-Shot Adaptation for Large Language Models
- ICLR (T1)RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything
20243 papers
- NeurIPS (T1)CorDA: Context-Oriented Decomposition Adaptation of Large Language Models (opens in a new tab)
- ECCV (T1)GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning (opens in a new tab)
- ICML (T1)Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation (opens in a new tab)
20235 papers
- AAAI (T1)DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction (opens in a new tab)
- IEEE/CVF International Conference in Computer Vision, ICCVMulti-Task Learning with Knowledge Distillation for Dense Prediction (opens in a new tab)
- ICLR (T1)Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning (opens in a new tab)
- ICLR (T1)Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks (opens in a new tab)
- CVPR (T1)Understanding Imbalanced Semantic Segmentation Through Neural Collapse (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- The lab homepage
- Members
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- Alumni
- Not collected
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