Ke Chen
54 papers · 2007–2026 · 12 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 15 separate collaboration groups - the largest holds only 37% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Ke Chen?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Lidan Shou, Gang Chen, Jue Wang
17 papers
· 2020–2026
· AAAI, ACL, IJCAI
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HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference
ACL 2026
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
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
ICLR 2025
Transfer-Aware Data Selection for Domain Adaptation in Text Retrieval
EMNLP 2025
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
AAAI 2024
Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding
ACL 2024
Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection
AAAI 2024
Deep Partial Multi-Label Learning with Graph Disambiguation
IJCAI 2023
Effective Continual Learning for Text Classification with Lightweight Snapshots
AAAI 2023
FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training
IJCAI 2023
Continual Federated Learning Based on Knowledge Distillation
IJCAI 2022
SkipBERT: Efficient Inference with Shallow Layer Skipping
ACL 2022
Effective Slot Filling via Weakly-Supervised Dual-Model Learning
AAAI 2021
Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification
AAAI 2020
Learning From Multi-Dimensional Partial Labels
IJCAI 2020
Pyramid: A Layered Model for Nested Named Entity Recognition
ACL 2020
11 papers whose co-authors appear nowhere else under this name
HiLoRA: Hierarchical Low-Rank Adaptation for Personalized Federated Learning
CVPR 2026
FLAM: Frame-Wise Language-Audio Modeling
ICML 2025
Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data
AAAI 2023
Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model
CVPR 2023
Real-Time Vanishing Point Detector Integrating Under-Parameterized RANSAC and Hough Transform
ICCV 2021
Feature Importance Ranking for Deep Learning
NeurIPS 2020
Structured Knowledge Distillation for Semantic Segmentation
CVPR 2019
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation
CoRL 2018
Cumulative Attribute Space for Age and Crowd Density Estimation
CVPR 2013
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network
NeurIPS 2011
Regularized Boost for Semi-Supervised Learning
NeurIPS 2007