Zhihong Deng
教授
Researches deep learning, natural language understanding and data intelligence.
Zhihong Deng's lab at Peking works in Natural Language Processing. 20 papers since 2023, 16 at top venues, mostly ICML and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 80%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 2 papers2026 · T1 2 · collecting
- 5 papers2025 · T1 3
- 4 papers2024 · T1 3
- 9 papers2023 · T1 8
T1 venuesOtherVenues: ICML, AAAI, NeurIPS, ACL, Artificial Intelligence
Research focuspaper titles that use each topic's words
- data intelligence0 papers
- language understanding0 papers
- intelligence0 papers
- intelligence science0 papers
- understanding0 papers
Paper list
From DBLP.
20262 papers
20255 papers
- ECAIInstruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion Model (opens in a new tab)
- ICML (T1)Iterative Vectors: In-Context Gradient Steering without Backpropagation (opens in a new tab)
- ECAIKeyword-Centric Prompting for One-Shot Event Detection with Self-Generated Rationale Enhancements (opens in a new tab)
- ICML (T1)Mixture of Lookup Experts (opens in a new tab)
- ICML (T1)SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs (opens in a new tab)
20244 papers
- ECAIConvolutional Bypasses Are Better Vision Transformer Adapters (opens in a new tab)
- ICML (T1)Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning (opens in a new tab)
- EMNLP (T1)Retrieved Sequence Augmentation for Protein Representation Learning (opens in a new tab)
- ECCV (T1)Token Compensator: Altering Inference Cost of Vision Transformer Without Re-tuning (opens in a new tab)
20239 papers
- ICLR (T1)Are More Layers Beneficial to Graph Transformers? (opens in a new tab)
- ACL (T1)Dual-Alignment Pre-training for Cross-lingual Sentence Embedding (opens in a new tab)
- AAAI (T1)FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer (opens in a new tab)
- NeurIPS (T1)Focus Your Attention when Few-Shot Classification (opens in a new tab)
- NeurIPS (T1)GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning (opens in a new tab)
- CVPR (T1)Masked Image Modeling with Local Multi-Scale Reconstruction (opens in a new tab)
- Findings of EMNLPPrefix-Tuning Based Unsupervised Text Style Transfer (opens in a new tab)
- ICCV (T1)Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy (opens in a new tab)
- Artificial Intelligence (T1)Towards well-generalizing meta-learning via adversarial task augmentation (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to PekingFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- 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
- DBLP
- Members
- Not collected
- Alumni
- Not collected
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