Weiran Huang
Tenured Track Associate Professor
Works on efficient fine-tuning and continual learning of large models.
Weiran Huang's lab at SJTU works on efficient training & inference and large language models. 33 papers since 2023, 23 at top venues, mostly ICML and NeurIPS. 9 PhD students and 4 master's students. 3 alumni, most often to Huawei. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 70%
- PhD students
- 9
- MS students
- 4
- alumni listed
- 3
Papers by yearfrom the lab homepage, 2023–2026
- 8 papers2026 · T1 4 · collecting
- 7 papers2025 · T1 3
- 11 papers2024 · T1 9
- 7 papers2023 · T1 7
T1 venuesOtherVenues: ICML, NeurIPS, ICLR, ECCV, ICCV
Research focuspaper titles that use each topic's words
- Large language models12 papers
- continual6 papers
- continual learning5 papers
- Efficient training & inference4 papers
- large models0 papers
Paper list
From the lab homepage.
20268 papers
- ICLR WorkshopAnimalBooth: Multimodal Feature Enhancement for Animal Subject Personalization (opens in a new tab)
- Journal of the American Chemical Society, .CrystalX: High-Accuracy Crystal Structure Analysis Using Deep Learning (opens in a new tab)
- TCSVTDynamic Balancing of Model Scale, Efficiency, and Accuracy for Mobile Vision Applications (opens in a new tab)
- ICLR (T1)Enhanced Continual Learning of Vision-Language Models with Model Fusion (opens in a new tab)
- ICLR (T1)IDER: Idempotent Experience Replay for Reliable Continual Learning (opens in a new tab)
- ICLR WorkshopImproved Iterative Refinement for Chart-to-Code Generation via Structured Instruction (opens in a new tab)
- ICML (T1)Provable Training Data Identification for Large Language Models (opens in a new tab)
- ICML (T1)Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception (opens in a new tab)
20257 papers
- ICLR WorkshopDiabetica: Adapting Large Language Model to Enhance Multiple Medical Tasks in Diabetes Care and Management (opens in a new tab)
- Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL) Industry TrackFinLLM-B: When Large Language Models Meet Financial Breakout Trading (opens in a new tab)
- NeurIPS (T1)First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training (opens in a new tab)
- ICML (T1)Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization (opens in a new tab)
- Artificial Intelligence for EngineeringMM-LIMA: Less Is More for Alignment in Multi-Modal Datasets (opens in a new tab)
- NeurIPS (T1)PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling (opens in a new tab)
- Pattern RecognitionRhythmFormer: Extracting Patterned rPPG Signals based on Periodic Sparse Attention (opens in a new tab)
202411 papers
- ICML (T1)A Statistical Theory of Regularization-Based Continual Learning (opens in a new tab)
- ECCV (T1)AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering (opens in a new tab)
- NeurIPS (T1)Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models (opens in a new tab)
- ICML (T1)Information Flow in Self-Supervised Learning (opens in a new tab)
- ICML (T1)Matrix Information Theory for Self-Supervised Learning (opens in a new tab)
- ICML (T1)OTMatch: Improving Semi-Supervised Learning with Optimal Transport (opens in a new tab)
- ICML (T1)Provable Contrastive Continual Learning (opens in a new tab)
- NeurIPS (T1)SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models (opens in a new tab)
- ICML WorkshopTinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones (opens in a new tab)
- Journal of Translational Medicine 22, 772, .Tree-Based Ensemble Machine Learning Models in the Prediction of Acute Respiratory Distress Syndrome Following Cardiac Surgery: A Multicenter Cohort Study (opens in a new tab)
- ICML (T1)Unveiling the Dynamics of Information Interplay in Supervised Learning (opens in a new tab)
20237 papers
- ICLR (T1)ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations (opens in a new tab)
- NeurIPS (T1)DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation (opens in a new tab)
- NeurIPS (T1)FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning (opens in a new tab)
- ICML (T1)Rethinking Weak Supervision in Helping Contrastive Representation Learning (opens in a new tab)
- ICLR (T1)Towards the Generalization of Contrastive Self-Supervised Learning (opens in a new tab)
- ICCV (T1)When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method (opens in a new tab)
- ICLR (T1)Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding (opens in a new tab)
Where alumni went3 listed, 100% to industry
Industry 1Academia 0
Most often to
- Huawei
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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