Ke Li
131 papers · 2016–2026 · 15 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 33 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 Li?
17 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 Heng Yang, Renzhi Chen
6 papers
· 2023–2025
· EMNLP, AAAI, EACL
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Bridging Sequence-Structure Alignment in RNA Foundation Models
AAAI 2025
MP-RNA: Unleashing Multi-species RNA Foundation Model via Calibrated Secondary Structure Prediction
EMNLP 2024
Modeling Aspect Sentiment Coherency via Local Sentiment Aggregation
EACL 2024
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples
EMNLP 2024
Boosting Text Augmentation via Hybrid Instance Filtering Framework
ACL 2023
InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators
EMNLP 2023
16 papers whose co-authors appear nowhere else under this name
Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning
AAAI 2026
Seeing Depth Through Frequency and Motion: A Progressive Training Paradigm for Monocular Depth Estimation
CVPR 2026
Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems
ACL 2025
MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation
CVPR 2025
IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs
ICLR 2024
Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation
CVPR 2023
CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches
NeurIPS 2023
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer
NeurIPS 2023
“Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization
NeurIPS 2023
C3KG: A Chinese Commonsense Conversation Knowledge Graph
ACL 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
NeurIPS 2022
DeRF: Decomposed Radiance Fields
CVPR 2021
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting
ICCV 2021
Variational Model Inversion Attacks
NeurIPS 2021
Inclusive GAN: Improving Data and Minority Coverage in Generative Models
ECCV 2020
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text
CVPR 2020