Hongtao Lu
Tenured Professor
Works on machine learning, deep learning and computer vision.
Hongtao Lu's lab at SJTU works in Computer Vision. 64 papers since 2023, 29 at top venues, mostly ICASSP and CVPR. Applications close .
At a glance
- papers, 2023–2026
- 17/ year
- at T1 venues
- 45%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 3 · collecting
- 12 papers2025 · T1 7
- 28 papers2024 · T1 11
- 20 papers2023 · T1 8
T1 venuesOtherVenues: ICASSP, CVPR, ICME, ACM MM, TPAMI
Research focuspaper titles that use each topic's words
- learning20 papers
- deep3 papers
- deep learning2 papers
- computer vision0 papers
- vision0 papers
Paper list
From DBLP.
20264 papers
- CVPR (T1)Dejavu: Towards Experience Feedback Learning for Embodied Intelligence (opens in a new tab)
- Comput. Vis. Image Underst.HACMatch: Semi-supervised rotation regression with hardness-aware curriculum pseudo labeling (opens in a new tab)
- ECCV (T1)RelAfford6D: Relational 6D Affordance Graphs for Constraint-Driven Robotic Manipulation (opens in a new tab)
- TPAMI (T1)Semi-Supervised Unconstrained Head Pose Estimation in the Wild (opens in a new tab)
202512 papers
- ICML (T1)BECAME: Bayesian Continual Learning with Adaptive Model Merging (opens in a new tab)
- ACM MMCLIP-MT: Multi-Modal Knowledge-Driven Adaptive Scale Feature Allocation for Multi-Task Dense Prediction (opens in a new tab)
- ICCV (T1)Discretized Gaussian Representation for Tomographic Reconstruction (opens in a new tab)
- CVPR (T1)Few-shot Implicit Function Generation via Equivariance (opens in a new tab)
- CIKM (T1)From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models (opens in a new tab)
- ACM MMGenerating Negative Samples for Multi-Modal Recommendation (opens in a new tab)
- NeurIPS (T1)How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichlet Energy Perspective (opens in a new tab)
- IEEE Trans. Multim.Learning Auxiliary Representations With Inconsistency-Guided Detail Regularization for Mask-Guided Matting (opens in a new tab)
- ACM MMMORE: Multi-Organ Medical Image REconstruction Dataset (opens in a new tab)
- TPAMI (T1)Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation (opens in a new tab)
- WSDM (T1)Towards Personalized Federated Multi-Scenario Multi-Task Recommendation (opens in a new tab)
- ICANNUnsupervised Domain Adaptive Hand Mesh Reconstruction of 2D Images in the Wild (opens in a new tab)
202428 papers
- IEEE Trans. Circuits Syst. Video Technol.Adaptive Task-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective (opens in a new tab)
- ICMEBARTENDER: A simple baseline model for task-level heterogeneous federated learning (opens in a new tab)
- KDD (T1)Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration (opens in a new tab)
- TPAMI (T1)BPJDet: Extended Object Representation for Generic Body-Part Joint Detection (opens in a new tab)
- ICMECGCUT: Unpaired Image-to-Image Translation via Cluster-Guided Contrastive Learning (opens in a new tab)
- ICASSP (T1)Changenet: Multi-Temporal Asymmetric Change Detection Dataset (opens in a new tab)
- KDD (T1)DAG: Deep Adaptive and Generative K-Free Community Detection on Attributed Graphs (opens in a new tab)
- ICME WorkshopDecoupling Classification and Localization of CLIP (opens in a new tab)
- ICML (T1)Discrete Latent Perspective Learning for Segmentation and Detection (opens in a new tab)
- ICASSP (T1)Enhancing Cross-Domain Detection: Adaptive Class-Aware Contrastive Transformer (opens in a new tab)
- ICMRFederated Multi-Task Learning on Non-IID Data Silos: An Experimental Study (opens in a new tab)
- CVPR (T1)Fedhca2: Towards Hetero-Client Federated Multi-Task Learning (opens in a new tab)
202320 papers
- CVPR (T1)A Simple Framework for Text-Supervised Semantic Segmentation (opens in a new tab)
- Multim. Tools Appl.Arbitrary shape scene text detector with accurate text instance generation based on instance-relevant contexts (opens in a new tab)
- ICMEBody-Part Joint Detection and Association via Extended Object Representation (opens in a new tab)
- CVPR WorkshopContrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation (opens in a new tab)
- WACVCooperative Self-Training for Multi-Target Adaptive Semantic Segmentation (opens in a new tab)
- CVPR (T1)Generating Human Motion from Textual Descriptions with Discrete Representations (opens in a new tab)
- IJCAI (T1)Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation (opens in a new tab)
- ICONIPLandmark-Assisted Facial Action Unit Detection with Optimal Attention and Contrastive Learning (opens in a new tab)
- ICONIPMulti-scale Local Region-Based Facial Action Unit Detection with Graph Convolutional Network (opens in a new tab)
- WSDM (T1)Position-Aware Subgraph Neural Networks with Data-Efficient Learning (opens in a new tab)
- Int. J. Comput. Assist. Radiol. Surg.Radiologists with assistance of deep learning can achieve overall accuracy of benign-malignant differentiation of musculoskeletal tumors comparable with that of pre-surgical biopsies in the literature (opens in a new tab)
- IJCV (T1)RAFT-MSF: Self-Supervised Monocular Scene Flow Using Recurrent Optimizer (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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