Deng Cai
full professor
Researches machine learning, computer vision, data mining and information retrieval.
Deng Cai's lab at Zhejiang works on recommendation, search & web, data management & big data and knowledge, QA & retrieval. 46 papers since 2023, 35 at top venues, mostly AAAI and TIP. Applications close .
At a glance
- papers, 2023–2026
- 12/ year
- at T1 venues
- 76%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 10 papers2026 · T1 6 · collecting
- 16 papers2025 · T1 12
- 11 papers2024 · T1 10
- 9 papers2023 · T1 7
T1 venuesOtherVenues: AAAI, TIP, ICCV, NeurIPS, CVPR
Research focuspaper titles that use each topic's words
- Recommendation, search & web2 papers
- Knowledge, QA & retrieval2 papers
- Data management & big data0 papers
- researches machine0 papers
- information retrieval0 papers
Paper list
From DBLP.
202610 papers
- IEEE Trans. Circuits Syst. Video Technol.3 × 3 Kernel Is All You Need for Vision (opens in a new tab)
- ECCV (T1)Anchor Forcing: Anchor Memory and Tri-Region RoPE for Interactive Streaming Video Diffusion (opens in a new tab)
- ICLR (T1)Any-to-Bokeh: Arbitrary-Subject Video Refocusing with Video Diffusion Model (opens in a new tab)
- TIP (T1)Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion (opens in a new tab)
- KDD (T1)DeGRe: Dense-supervised Generative Reranking for Recommendation (opens in a new tab)
- AAAI (T1)Enhancing Spatial Reasoning Through Visual and Textual Thinking (opens in a new tab)
- IEEE Trans. Multim.LEViT: Locally Enhanced Vision Transformer for Efficient Object Re-Identification (opens in a new tab)
- Pattern RecognitionOccluded person Re-Identification with noise injection (opens in a new tab)
- ECCV (T1)RegRet: Enhancing Region-Level Retrieval in Large Multimodal Models (opens in a new tab)
- Neural NetworksVidsketch: Hand-drawn sketch-driven video generation with diffusion control (opens in a new tab)
202516 papers
- ICANNBalance Discriminability and Integrality for Robust Salient Object Detection (opens in a new tab)
- TPAMI (T1)CLRNetV2: A Faster and Stronger Lane Detector (opens in a new tab)
- NeurIPS (T1)Controlling Thinking Speed in Reasoning Models (opens in a new tab)
- ICICDSMRec: Dual-Spectrum Mamba Based Model for Sequential Recommendation (opens in a new tab)
- IEEE AccessDual Graph for Traffic Forecasting (opens in a new tab)
- ACL (T1)Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning (opens in a new tab)
- ICLR (T1)FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models (opens in a new tab)
- NeurIPS (T1)GeoCAD: Local Geometry-Controllable CAD Generation with Large Language Models (opens in a new tab)
- ICICHybrid State Representation with Attention and Collision Time Prediction for Autonomous Vehicle Decision-Making at Unsignalized Intersections (opens in a new tab)
- TIP (T1)LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models (opens in a new tab)
- ICCV (T1)Magicid: Hybrid Preference Optimization for Id-Consistent and Dynamic-Preserved Video Customization (opens in a new tab)
- TIP (T1)NeRF-Det++: Incorporating Semantic Cues and Perspective-Aware Depth Supervision for Indoor Multi-View 3D Detection (opens in a new tab)
202411 papers
- NeurIPS (T1)Delving into the Reversal Curse: How Far Can Large Language Models Generalize? (opens in a new tab)
- ICML (T1)From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning (opens in a new tab)
- IJCAI (T1)G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction (opens in a new tab)
- CVPR (T1)Learning Occupancy for Monocular 3D Object Detection (opens in a new tab)
- CVPR (T1)Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-Dataset 3D Object Detection (opens in a new tab)
- AAAI (T1)Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving (opens in a new tab)
- AAAI (T1)Semi-supervised 3D Object Detection with PatchTeacher and PillarMix (opens in a new tab)
- AAAI (T1)TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training (opens in a new tab)
- CVPR (T1)TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation (opens in a new tab)
- 3DVTeCH: Text-Guided Reconstruction of Lifelike Clothed Humans (opens in a new tab)
- AAAI (T1)Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing (opens in a new tab)
20239 papers
- MobiCom (T1)LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup (opens in a new tab)
- ICCV (T1)MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection (opens in a new tab)
- NeurocomputingNeural collapse inspired attraction-repulsion-balanced loss for imbalanced learning (opens in a new tab)
- TIP (T1)OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection (opens in a new tab)
- ICCV (T1)One-shot Implicit Animatable Avatars with Model-based Priors (opens in a new tab)
- Int. J. Mach. Learn. Cybern.Optimizing traffic efficiency via a reinforcement learning approach based on time allocation (opens in a new tab)
- AAAI (T1)Towards In-Distribution Compatible Out-of-Distribution Detection (opens in a new tab)
- TKDE (T1)Urban Traffic Light Control via Active Multi-Agent Communication and Supply-Demand Modeling (opens in a new tab)
- TIP (T1)X-View: Non-Egocentric Multi-View 3D Object Detector (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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