← Authors

Ke Chen

49 papers · 2007–2026 · 12 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (18) 🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (18) 🌟 Keyword Trendsetter Combo (7) πŸ† Keyword Champion πŸ† Grand Slam 🌱 Topic Pioneer 🀝 Dynamic Duo (13) πŸ—ƒοΈ Keyword Collector (251) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter πŸ’Ž Century Club (48) ⚑ Prolific Year (6)

Conferences

AAAI (11) IJCAI (10) CVPR (9) ICCV (4) NIPS (4) ACL (3) ICLR (2) ICML (2) CORL (1) ECCV (1) EMNLP (1) INTERSPEECH (1)

Top co-authors

Lidan Shou (13) Gang Chen (11) Kui Jia (9) Jue Wang (8) Huan Li (5) Shu-Tao Xia (4) Yaohua Zha (4) Tao Dai (4) Taylor Berg-Kirkpatrick (3) Joni-Kristian KΓ€mΓ€rΓ€inen (3)

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
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
AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery ICCV 2025
Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation ICLR 2025
Transfer-Aware Data Selection for Domain Adaptation in Text Retrieval EMNLP 2025
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning AAAI 2025
CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation AAAI 2025
FloE: On-the-Fly MoE Inference on Memory-constrained GPU ICML 2025
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter CVPR 2025
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception CVPR 2025
FLAM: Frame-Wise Language-Audio Modeling ICML 2025
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
Retrieval Guided Music Captioning via Multimodal Prefixes IJCAI 2024
Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation INTERSPEECH 2024
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition AAAI 2024
FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training IJCAI 2023
Effective Continual Learning for Text Classification with Lightweight Snapshots AAAI 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
Deep Partial Multi-Label Learning with Graph Disambiguation IJCAI 2023
Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data AAAI 2023
SkipBERT: Efficient Inference with Shallow Layer Skipping ACL 2022
Continual Federated Learning Based on Knowledge Distillation IJCAI 2022
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation IJCAI 2022
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap ECCV 2022
Fine-Grained Object Classification via Self-Supervised Pose Alignment CVPR 2022
Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data AAAI 2022
Real-Time Vanishing Point Detector Integrating Under-Parameterized RANSAC and Hough Transform 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
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds ICCV 2021
Feature Importance Ranking for Deep Learning NIPS 2020
Pyramid: A Layered Model for Nested Named Entity Recognition ACL 2020
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering CVPR 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
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