Ke ZHANG
47 papers · 2013–2026 · 18 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (17) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (12)
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Taxonomy Completionist
(92)
π
Interdisciplinary Bridge
π
Conference Polyglot
(17)
π§¬
Topic Evolution
π
Grand Slam
π
Keyword Champion
ποΈ
Keyword Collector
(212)
π
Conference Pioneer
π
Century Club
(45)
π₯
Unstoppable
(6)
π
Trend Setter
β‘
Prolific Year
(8)
Conferences
WACV (5)
IJCAI (5)
CVPR (4)
ICCV (4)
ACL (4)
AAAI (4)
NAACL (3)
NIPS (3)
COLING (2)
EMNLP (2)
ICLR (2)
ICML (2)
INTERSPEECH (2)
ECCV (1)
IJCNLP (1)
JMLR (1)
MICCAI (1)
MIDL (1)
Top co-authors
Research topics
Keywords
weakly supervised learning
(6)
style transfer
(3)
graph neural network
(3)
transfer learning
(3)
representation learning
(3)
human evaluation
(2)
vision language model
(2)
social media
(2)
cocktail party problem
(2)
medical image segmentation
(2)
benchmark dataset
(2)
semi-supervised learning
(2)
vision-language model
(2)
open vocabulary
(2)
3d object detection
(2)
natural language generation
(2)
data augmentation
(2)
text summarization
(2)
depth estimation
(2)
deep neural network
(2)
Papers
ProCrop: Learning Aesthetic Image Cropping from Professional Compositions
AAAI 2026
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation
ICCV 2025
HarmonySeg: Tubular Structure Segmentation with Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss
ICCV 2025
V-MIND: Building Versatile Monocular Indoor 3D Detector with Diverse 2D Annotations
WACV 2025
Fine-grained Adaptive Visual Prompt for Generative Medical Visual Question Answering
AAAI 2025
Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction
AAAI 2025
Super Deep Contrastive Information Bottleneck for Multi-modal Clustering
ICML 2025
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
ICLR 2025
Beyond Logits: Aligning Feature Dynamics for Effective Knowledge Distillation
ACL 2025
Operationalizing AI for Good: Spotlight on Deployment and Integration of AI Models in Humanitarian Work
ACL 2025
MedCL: Learn Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation
MIDL 2025
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning
ICLR 2025
OpenM3D: Open Vocabulary Multi-view Indoor 3D Object Detection without Human Annotations
ICCV 2025
Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models
CVPR 2025
Less is More: Efficient Image Vectorization with Adaptive Parameterization
CVPR 2025
ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation
MICCAI 2024
Prompt-based Generation of Natural Language Explanations of Synthetic Lethality for Cancer Drug Discovery
COLING 2024
Typos Correction Training against Misspellings from Text-to-Text Transformers
COLING 2024
HumVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian Aid
EMNLP 2024
Nearest Neighbour Score Estimators for Diffusion Generative Models
ICML 2024
WeSep: A Scalable and Flexible Toolkit Towards Generalizable Target Speaker Extraction
INTERSPEECH 2024
TriCoLo: Trimodal Contrastive Loss for Text To Shape Retrieval
WACV 2024
ReCLIP: Refine Contrastive Language Image Pre-Training With Source Free Domain Adaptation
WACV 2024
BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics
ACL 2023
Speaker Extraction with Detection of Presence and Absence of Target Speakers
INTERSPEECH 2023
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix
NIPS 2023
ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection
ICCV 2023
RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy
NIPS 2023
CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-Wild 2D Annotations
WACV 2023
Human-in-the-Loop Video Semantic Segmentation Auto-Annotation
WACV 2023
SQLFlow: An Extensible Toolkit Integrating DB and AI
JMLR 2023
CycleMix: A Holistic Strategy for Medical Image Segmentation From Scribble Supervision
CVPR 2022
Hierarchical Diffusion Scattering Graph Neural Network
IJCAI 2022
Mapping the Design Space of Human-AI Interaction in Text Summarization
NAACL 2022
An Exploration of Post-Editing Effectiveness in Text Summarization
NAACL 2022
CrisisLTLSum: A Benchmark for Local Crisis Event Timeline Extraction and Summarization
EMNLP 2022
Subgraph Federated Learning with Missing Neighbor Generation
NIPS 2021
OlΓ‘, Bonjour, Salve! XFORMAL: A Benchmark for Multilingual Formality Style Transfer
NAACL 2021
Structure Guided Lane Detection
IJCAI 2021
A Review of Human Evaluation for Style Transfer
ACL 2021
A Review of Human Evaluation for Style Transfer
IJCNLP 2021
Secure Deep Graph Generation with Link Differential Privacy
IJCAI 2021
Unsupervised Detection of Sub-Events in Large Scale Disasters
AAAI 2020
Retrospective Encoders for Video Summarization
ECCV 2018
Summary Transfer: Exemplar-Based Subset Selection for Video Summarization
CVPR 2016
Sparse Reconstruction for Weakly Supervised Semantic Segmentation
IJCAI 2013
Multi-View Embedding Learning for Incompletely Labeled Data
IJCAI 2013