Yueting Zhuang
教授
Works on cross-media intelligence, big-data intelligence, multimedia analysis and retrieval, knowledge graphs and digital libraries.
Yueting Zhuang's lab at Zhejiang works on knowledge, QA & retrieval and graph mining & networks. 117 papers since 2023, 69 at top venues, mostly ACL and ACM MM. Applications close .
At a glance
- papers, 2023–2026
- 31/ year
- at T1 venues
- 59%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 29 papers2026 · T1 22 · collecting
- 34 papers2025 · T1 21
- 27 papers2024 · T1 14
- 27 papers2023 · T1 12
T1 venuesOtherVenues: ACL, ACM MM, NeurIPS, CVPR, ICCV
Research focuspaper titles that use each topic's words
- Knowledge, QA & retrieval10 papers
- Graph mining & networks9 papers
- intelligence1 paper
- digital libraries0 papers
- cross-media0 papers
Paper list
From DBLP.
202629 papers
- Findings of ACLAHEAD: Attention Head Energy-Aware Dynamics for Hallucination Mitigation in MLLMs (opens in a new tab)
- CVPR (T1)Arcadia: Toward a Full-Lifecycle Framework for Embodied Lifelong Learning (opens in a new tab)
- ACL (T1)Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks (opens in a new tab)
- ACL (T1)Experience-driven Multi-turn Reinforcement Learning for GUI Agents (opens in a new tab)
- Neural NetworksExploring financial sentiment analysis via fine-tuning large language model and attributed graph neural network (opens in a new tab)
- CVPR (T1)FlowDC: Flow-Based Decoupling-Decay for Complex Image Editing (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.Generalized Visual Relation Detection With Diffusion Models (opens in a new tab)
- AAAI (T1)GUI-G²: Gaussian Reward Modeling for GUI Grounding (opens in a new tab)
- CVPR (T1)GUI-SAGE: Enhancing GUI Automation with Self-Explanatory Learning (opens in a new tab)
- Neural NetworksImproving large models with small models: Lower costs and better performance (opens in a new tab)
- ICLR (T1)InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models (opens in a new tab)
- ICLR (T1)LogiStory: A Logic-Aware Framework for Multi-Image Story Visualization (opens in a new tab)
202534 papers
- ICCV (T1)2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining (opens in a new tab)
- IEEE Trans. Big DataAdapt Anything: Tailor Any Image Classifier Across Domains and Categories Using Text-to-Image Diffusion Models (opens in a new tab)
- Findings of ACLAlign²LLaVA: Cascaded Human and Large Language Model Preference Alignment for Multi-modal Instruction Curation (opens in a new tab)
- CVPR (T1)AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea (opens in a new tab)
- ICCV (T1)Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program (opens in a new tab)
- ACM MMChart-HQA: A Benchmark for Hypothetical Question Answering in Charts (opens in a new tab)
- NeurIPS (T1)Counterfactual Evolution of Multimodal Datasets via Visual Programming (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.DBA: Efficient Transformer With Dynamic Bilinear Low-Rank Attention (opens in a new tab)
- NeurIPS (T1)EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World? (opens in a new tab)
- NeurIPS (T1)EvolvedGRPO: Unlocking Reasoning in LVLMs via Progressive Instruction Evolution (opens in a new tab)
- ACM MMEyecareGPT: Boosting Comprehensive Ophthalmology Understanding with Tailored Dataset, Benchmark and Model (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.FADngs: Federated Learning for Anomaly Detection (opens in a new tab)
202427 papers
- ACL (T1)Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization (opens in a new tab)
- ICIPAn Optimal Transport-Based Method For Medical Image Generation (opens in a new tab)
- TPAMI (T1)Ask Questions With Double Hints: Visual Question Generation With Answer-Awareness and Region-Reference (opens in a new tab)
- ICML (T1)Auto-Encoding Morph-Tokens for Multimodal LLM (opens in a new tab)
- Knowl. Based Syst.Better Together: Data-Free Multi-Student Coevolved Distillation (opens in a new tab)
- EMNLP (T1)Bridging Local Details and Global Context in Text-Attributed Graphs (opens in a new tab)
- NeurocomputingContrastive Hawkes graph neural networks with dynamic sampling for event prediction (opens in a new tab)
- AAAI (T1)Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance (opens in a new tab)
- ACM MMDe-fine: Decomposing and Refining Visual Programs with Auto-Feedback (opens in a new tab)
- ACM MMDEMON24: ACM MM24 Demonstrative Instruction Following Challenge (opens in a new tab)
- ACM MMFact : Teaching MLLMs with Faithful, Concise and Transferable Rationales (opens in a new tab)
- ICLR (T1)Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions (opens in a new tab)
202327 papers
- Frontiers Inf. Technol. Electron. Eng.A knowledge-guided and traditional Chinese medicine informed approach for herb recommendation (opens in a new tab)
- Neural NetworksAttribute-driven streaming edge partitioning with reconciliations for distributed graph neural network training (opens in a new tab)
- ICML (T1)Continual Vision-Language Representation Learning with Off-Diagonal Information (opens in a new tab)
- IEEE Trans. Multim.Cross-Modal Data Augmentation for Tasks of Different Modalities (opens in a new tab)
- SemEval@ACLDAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition (opens in a new tab)
- IEEE Trans. Multim.Deep Residual Weight-Sharing Attention Network With Low-Rank Attention for Visual Question Answering (opens in a new tab)
- ACM MMDegeneration-Tuning: Using Scrambled Grid shield Unwanted Concepts from Stable Diffusion (opens in a new tab)
- ACL (T1)DiffusionNER: Boundary Diffusion for Named Entity Recognition (opens in a new tab)
- ACM MMDistilling Vision-Language Foundation Models: A Data-Free Approach via Prompt Diversification (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Elastic Knowledge Distillation by Learning From Recollection (opens in a new tab)
- ACM MMFedAA: Using Non-sensitive Modalities to Improve Federated Learning while Preserving Image Privacy (opens in a new tab)
- Frontiers Inf. Technol. Electron. Eng.Federated unsupervised representation learning (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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Data
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