Ke Chen
50 papers · 2007–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (18) π Renaissance Researcher (7) π£ Hot Topic Early Bird
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Interdisciplinary Bridge
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Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(18)
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Keyword Trendsetter Combo
(7)
π
Keyword Champion
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Grand Slam
π±
Topic Pioneer
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Dynamic Duo
(13)
ποΈ
Keyword Collector
(251)
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Conference Pioneer
π₯
Unstoppable
(9)
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Trend Setter
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Century Club
(48)
β‘
Prolific Year
(6)
Conferences
AAAI (11)
IJCAI (10)
CVPR (9)
ACL (4)
ICCV (4)
NIPS (4)
ICLR (2)
ICML (2)
CORL (1)
ECCV (1)
EMNLP (1)
INTERSPEECH (1)
Top co-authors
Keywords
point cloud
(7)
transfer learning
(4)
model compression
(4)
unsupervised domain adaptation
(3)
3d vision
(3)
semi-supervised learning
(3)
contrastive learning
(3)
self-supervised learning
(3)
knowledge distillation
(3)
pose estimation
(3)
deep learning
(3)
semantic segmentation
(2)
catastrophic forgetting
(2)
continual learning
(2)
feature alignment
(2)
weakly supervised learning
(2)
federated learning
(2)
representation learning
(2)
variational inference
(2)
semantic parsing
(2)
Papers
CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection
AAAI 2026
HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference
ACL 2026
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter
CVPR 2025
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
ICLR 2025
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning
IJCAI 2025
FLAM: Frame-Wise Language-Audio Modeling
ICML 2025
FloE: On-the-Fly MoE Inference on Memory-constrained GPU
ICML 2025
Transfer-Aware Data Selection for Domain Adaptation in Text Retrieval
EMNLP 2025
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception
CVPR 2025
AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery
ICCV 2025
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
AAAI 2025
Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation
ICLR 2025
CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation
AAAI 2025
Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation
INTERSPEECH 2024
Retrieval Guided Music Captioning via Multimodal Prefixes
IJCAI 2024
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
AAAI 2024
Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection
AAAI 2024
Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding
ACL 2024
Deep Partial Multi-Label Learning with Graph Disambiguation
IJCAI 2023
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose
IJCAI 2023
Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model
CVPR 2023
FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training
IJCAI 2023
Effective Continual Learning for Text Classification with Lightweight Snapshots
AAAI 2023
Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data
AAAI 2023
Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data
AAAI 2022
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap
ECCV 2022
Continual Federated Learning Based on Knowledge Distillation
IJCAI 2022
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation
IJCAI 2022
SkipBERT: Efficient Inference with Shallow Layer Skipping
ACL 2022
Fine-Grained Object Classification via Self-Supervised Pose Alignment
CVPR 2022
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds
ICCV 2021
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space
NIPS 2021
Effective Slot Filling via Weakly-Supervised Dual-Model Learning
AAAI 2021
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
CVPR 2021
Real-Time Vanishing Point Detector Integrating Under-Parameterized RANSAC and Hough Transform
ICCV 2021
Feature Importance Ranking for Deep Learning
NIPS 2020
Pyramid: A Layered Model for Nested Named Entity Recognition
ACL 2020
Cascading Convolutional Color Constancy
AAAI 2020
Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification
AAAI 2020
Learning From Multi-Dimensional Partial Labels
IJCAI 2020
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
CVPR 2020
Structured Knowledge Distillation for Semantic Segmentation
CVPR 2019
Deep Cascade Generation on Point Sets
IJCAI 2019
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation
CORL 2018
Cross-Granularity Graph Inference for Semantic Video Object Segmentation
IJCAI 2017
Recurrent Color Constancy
ICCV 2017
Unsupervised Visual Alignment With Similarity Graphs
CVPR 2015
Cumulative Attribute Space for Age and Crowd Density Estimation
CVPR 2013
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network
NIPS 2011
Regularized Boost for Semi-Supervised Learning
NIPS 2007