Nanyang Ye
Tenured Track Associate Professor
Works on generalization of deep neural networks and its use in large models and embodied AI.
Nanyang Ye's lab at SJTU works on learning theory & optimization and large language models. 26 papers since 2023, 22 at top venues, mostly AAAI and TPAMI. 4 alumni. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 85%
- PhD students
- —
- MS students
- —
- alumni listed
- 4
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 4 papers2026 · T1 3 · collecting
- 12 papers2025 · T1 11
- 7 papers2024 · T1 6
- 3 papers2023 · T1 2
T1 venuesOtherVenues: AAAI, TPAMI, CVPR, ICLR, ICML
Research focuspaper titles that use each topic's words
- generalization11 papers
- Learning theory & optimization8 papers
- Large language models5 papers
- deep neural0 papers
- use0 papers
Paper list
From the lab homepage and DBLP.
20264 papers
- TPAMI (T1)CFSM: A Novel Causal Feature Selection Module for Two-Dimensional Out-of-Distribution Generalization (opens in a new tab)
- ICPRImproving Proactive Risk-Awareness of Autonomous Driving via Trajectory Monitoring (opens in a new tab)
- TPAMI (T1)OoDBench+: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization (opens in a new tab)
- ICLR (T1)Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery (opens in a new tab)
202512 papers
- IJCV (T1)Bayes-CAL: Robust Cross-Modal Alignment by Bayesian Approach for Few-Shot OoD Generalization (opens in a new tab)
- ICASSP (T1)ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting (opens in a new tab)
- ICANNConformalized Causal Learning for Uncertainty-Aware Mineral Prospectivity Mapping (opens in a new tab)
- CVPR (T1)Decision SpikeFormer: Spike-Driven Transformer for Decision Making (opens in a new tab)
- COLING (T1)Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework (opens in a new tab)
- ICML (T1)Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning (opens in a new tab)
- TPAMI (T1)InfoBound: A Provable Information-Bounds Inspired Framework for Both OoD Generalization and OoD Detection (opens in a new tab)
- NeurIPS (T1)Less is More: an Attention-free Sequence Prediction Modeling for Offline Embodied Learning (opens in a new tab)
- ICLR (T1)Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models (opens in a new tab)
- CVPR (T1)OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary (opens in a new tab)
- ICRA (T1)Tri-AutoAug: Single Domain Generalization for Bird's-Eye-View 3D Object Detection Through Pixel-2D-3D Features (opens in a new tab)
- NeurIPS (T1)Δ Energy: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization (opens in a new tab)
20247 papers
- ICML (T1)CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection (opens in a new tab)
- AAAI (T1)Domain Invariant Learning for Gaussian Processes and Bayesian Exploration (opens in a new tab)
- AAAI (T1)G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection (opens in a new tab)
- EMNLP (T1)MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction (opens in a new tab)
- TPAMI (T1)OoD-Control: Generalizing Control in Unseen Environments (opens in a new tab)
- IEEE Robotics Autom. Lett.PNAS-MOT: Multi-Modal Object Tracking With Pareto Neural Architecture Search (opens in a new tab)
- IJCV (T1)Vision-Language Alignment Learning Under Affinity and Divergence Principles for Few-Shot Out-of-Distribution Generalization (opens in a new tab)
20233 papers
- IEEE Trans. Neural Networks Learn. Syst.An Annealing Mechanism for Adversarial Training Acceleration (opens in a new tab)
- AAAI (T1)Bayesian Cross-modal Alignment Learning for Few-Shot Out-of-Distribution Generalization
- AAAI (T1)Certifiable Out-of-Distribution Generalization
Where alumni went4 listed, 0% to industry
Industry 0Academia 4
Also to
- NUS
- Ohio State University
- University of Cambridge
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
Some numbers could not be verified:
- The member list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage and DBLP
- Members
- Not collected
- Alumni
- Lab homepage
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