Wenwu Zhu
Professor
Works on multimedia information processing and big-data analysis, and leads the large-scale intelligent information processing team.
Wenwu Zhu's lab at Tsinghua works on visualization & visual analytics. 133 papers since 2023, 79 at top venues, mostly ACM MM and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 35/ year
- at T1 venues
- 59%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 24 papers2026 · T1 16 · collecting
- 32 papers2025 · T1 16
- 31 papers2024 · T1 19
- 46 papers2023 · T1 28
T1 venuesOtherVenues: ACM MM, AAAI, ICML, KDD, CVPR
Research focuspaper titles that use each topic's words
- Visualization & visual analytics4 papers
- information processing0 papers
- intelligent information0 papers
- team0 papers
- multimedia information0 papers
Paper list
From DBLP.
202624 papers
- ICLR (T1)Adaptive Mixture of Disentangled Experts for Dynamic Graph Out-of-Distribution Generalization (opens in a new tab)
- ACM Trans. Knowl. Discov. DataAutomated Graph Machine Learning (opens in a new tab)
- IEEE Trans. Multim.AV-Unified: A Unified Framework for Audio-Visual Scene Understanding (opens in a new tab)
- KDD (T1)Beyond Graph Distribution Shifts: LLMs, Adaptation, and Generalization (opens in a new tab)
- KDD (T1)Continual-GraphLLM: Dynamic Graph Large Language Model with Invariance Regularized Adaptive Multi-Scale Experts (opens in a new tab)
- AAAI (T1)Cross-Scale Collaboration between LLMs and Lightweight Sequential Recommenders with Domain-Specific Latent Reasoning (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.Customized Multi-Subject Text-to-Image Generation With Causal Tuning (opens in a new tab)
- WWW (T1)Disentangled Graph LLM for Molecule Graph Editing under Distribution Shifts (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.DiViCo: Disentangled Visual Token Compression for Efficient Large Vision-Language Model (opens in a new tab)
- ICCMA-HTO: Heterogeneous Task Offloading and Load Balancing in MEC Network (opens in a new tab)
- CVPR (T1)ModularAgent: A Task-Aware Modular Framework for Joint Optimization of Multimodal Large Language Models and World Models (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.Multi-Modal Generative AI: Multi-Modal LLMs, Diffusions, and the Unification (opens in a new tab)
202532 papers
- ISSCC14.3 A 28nm 17.83-to-62.84TFLOPS/W Broadcast-Alignment Floating-Point CIM Macro with Non-Two's-Complement MAC for CNNs and Transformers (opens in a new tab)
- ACM Comput. Surv.A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions (opens in a new tab)
- ICMRAligning Large Multimodal Model with Sequential Recommendation via Content-Behavior Guidance (opens in a new tab)
- ICML (T1)AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization (opens in a new tab)
- ACM Trans. Inf. Syst.Automated Disentangled Sequential Recommendation with Large Language Models (opens in a new tab)
- AAAI (T1)Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation (opens in a new tab)
- KDD (T1)Causal-aware Graph Neural Architecture Search under Distribution Shifts (opens in a new tab)
- ACM Trans. Inf. Syst.Disentangled Dynamic Graph Attention Network for Out-of-Distribution Sequential Recommendation (opens in a new tab)
- ICML (T1)Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts (opens in a new tab)
- ICML (T1)Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning (opens in a new tab)
- ACM MMDyNAS-DDI: Dynamic Pairwise Architecture Search for Generalizable Drug-Drug Interaction LLM (opens in a new tab)
- ACM MMEmbodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning (opens in a new tab)
202431 papers
- ICML (T1)CurBench: Curriculum Learning Benchmark (opens in a new tab)
- ACM MMCurriculum Learning for Multimedia in the Era of Large Language Models (opens in a new tab)
- WWW (T1)Curriculum Learning: Theories, Approaches, Applications, Tools, and Future Directions in the Era of Large Language Models (opens in a new tab)
- ICMECustomized Cross-device Neural Architecture Search with Images (opens in a new tab)
- AAAI (T1)Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts (opens in a new tab)
- CogSciDELTA: Dynamic Embedding Learning with Truncated Conscious Attention for CTR Prediction (opens in a new tab)
- ICLR (T1)DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.DisenDreamer: Subject-Driven Text-to-Image Generation With Sample-Aware Disentangled Tuning (opens in a new tab)
- ACM MMDisenStudio: Customized Multi-Subject Text-to-Video Generation with Disentangled Spatial Control (opens in a new tab)
- ICML (T1)Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet (opens in a new tab)
- ICML (T1)Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization (opens in a new tab)
- TPAMI (T1)Disentangled Representation Learning (opens in a new tab)
202346 papers
- ACM Trans. Multim. Comput. Commun. Appl.A Closer Look at Debiased Temporal Sentence Grounding in Videos: Dataset, Metric, and Approach (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.A Survey on Temporal Sentence Grounding in Videos (opens in a new tab)
- KDD (T1)Adaptive Disentangled Transformer for Sequential Recommendation (opens in a new tab)
- TKDE (T1)Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge (opens in a new tab)
- CVPR (T1)Adversarially Robust Neural Architecture Search for Graph Neural Networks (opens in a new tab)
- ICLR (T1)AutoGT: Automated Graph Transformer Architecture Search (opens in a new tab)
- IEEE Trans. Multim.Caching in Dynamic Environments: A Near-Optimal Online Learning Approach (opens in a new tab)
- CIKM (T1)Causal Discovery in Temporal Domain from Interventional Data (opens in a new tab)
- WWW (T1)Continual Few-shot Learning with Transformer Adaptation and Knowledge Regularization (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.Continual Recognition with Adaptive Memory Update (opens in a new tab)
- WWW (T1)Cross-domain Recommendation with Behavioral Importance Perception (opens in a new tab)
- ICML (T1)Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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