Yunhai Tong
教授
Researches data mining and knowledge discovery, intelligent media analysis and privacy protection.
Yunhai Tong's lab at Peking works on data management & big data and knowledge, QA & retrieval. 38 papers since 2023, 34 at top venues, mostly TPAMI and ICLR. Applications close .
At a glance
- papers, 2023–2026
- 10/ year
- at T1 venues
- 89%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 6 papers2026 · T1 6 · collecting
- 13 papers2025 · T1 11
- 13 papers2024 · T1 11
- 6 papers2023 · T1 6
T1 venuesOtherVenues: TPAMI, ICLR, CVPR, NeurIPS, AAAI
Research focuspaper titles that use each topic's words
- Data management & big data1 paper
- Knowledge, QA & retrieval0 papers
- knowledge discovery0 papers
- researches data0 papers
- intelligent media0 papers
Paper list
From DBLP.
20266 papers
- ICLR (T1)Beyond Text-to-Image: Liberating Generation with a Unified Discrete Diffusion Model (opens in a new tab)
- ICLR (T1)Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs (opens in a new tab)
- ICLR (T1)MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation (opens in a new tab)
- CVPR (T1)RecTok: Reconstruction Distillation along Rectified Flow (opens in a new tab)
- TPAMI (T1)Sa2VA: Marrying SAM2 With MLLM for Dense Grounded Understanding of Images and Videos (opens in a new tab)
- ICLR (T1)VMoBA: Mixture-of-Block Attention for Video Diffusion Models (opens in a new tab)
202513 papers
- ICCV (T1)Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs (opens in a new tab)
- NeurIPS (T1)Conditional Panoramic Image Generation via Masked Autoregressive Modeling (opens in a new tab)
- ICCV (T1)Decouple and Track: Benchmarking and Improving Video Diffusion Transformers for Motion Transfer (opens in a new tab)
- CVPR (T1)DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation (opens in a new tab)
- ICMEDirect Preference Optimization for LLM-Enhanced Recommendation Systems (opens in a new tab)
- CVPR (T1)DreamRelation: Bridging Customization and Relation Generation (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.DST-Det: Open-Vocabulary Object Detection via Dynamic Self-Training (opens in a new tab)
- AAAI (T1)Explore In-Context Segmentation via Latent Diffusion Models (opens in a new tab)
- NeurIPS (T1)MMaDA: Multimodal Large Diffusion Language Models (opens in a new tab)
- AAAI (T1)MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning (opens in a new tab)
- ICLR (T1)RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything (opens in a new tab)
- AAAI (T1)Towards Scalable and Deep Graph Neural Networks via Noise Masking (opens in a new tab)
202413 papers
- IJCNNCharacteristic-Aware Time-Series Representation Learning for Unsupervised Anomaly Detection (opens in a new tab)
- IJCNNCollaborative Multi-Task Representation for Natural Language Understanding (opens in a new tab)
- ICDE (T1)HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism (opens in a new tab)
- NeurIPS (T1)MotionBooth: Motion-Aware Customized Text-to-Video Generation (opens in a new tab)
- TPAMI (T1)Panoptic-PartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation (opens in a new tab)
- KDD (T1)SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning (opens in a new tab)
- NeurIPS (T1)SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow (opens in a new tab)
- IJCV (T1)Sfnet: Faster and Accurate Semantic Segmentation Via Semantic Flow (opens in a new tab)
- TIP (T1)Toward Robust Referring Image Segmentation (opens in a new tab)
- CVPR (T1)Towards Language-Driven Video Inpainting via Multimodal Large Language Models (opens in a new tab)
- TPAMI (T1)Towards Open Vocabulary Learning: A Survey (opens in a new tab)
- ICRA (T1)VG4D: Vision-Language Model Goes 4D Video Recognition (opens in a new tab)
20236 papers
- ICCV (T1)Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation (opens in a new tab)
- TPAMI (T1)Convolution-Enhanced Evolving Attention Networks (opens in a new tab)
- TPAMI (T1)Improving Video Instance Segmentation via Temporal Pyramid Routing (opens in a new tab)
- CIKM (T1)Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning (opens in a new tab)
- RecSys (T1)Multiple Connectivity Views for Session-based Recommendation (opens in a new tab)
- TPAMI (T1)TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers (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
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- Fee
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Not yet confirmed for this intake.
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