Kan Ren
25 papers · 2018–2025 · 9 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (6) π Conference Polyglot (9)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π€
Dynamic Duo
(15)
π
Triple Crown
π
Grand Slam
π
Century Club
(25)
π₯
Unstoppable
(5)
π
Conference Pioneer
ποΈ
Keyword Collector
(115)
β‘
Prolific Year
(7)
Conferences
NIPS (8)
AAAI (5)
ICLR (4)
ACL (2)
ICML (2)
CVPR (1)
EACL (1)
IJCAI (1)
NAACL (1)
Top co-authors
Research topics
Keywords
large language model
(5)
reinforcement learning
(4)
diffusion model
(3)
representation learning
(3)
task automation
(2)
autonomous agent
(2)
policy optimization
(1)
model selection
(1)
sequence generation
(1)
offline reinforcement learning
(1)
few-shot learning
(1)
online learning
(1)
transformer architecture
(1)
variational inference
(1)
function approximation
(1)
benchmark evaluation
(1)
ensemble learning
(1)
optimal transport
(1)
self-supervised learning
(1)
domain adaptation
(1)
Papers
Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability
CVPR 2025
VerbalTS: Generating Time Series from Texts
ICML 2025
Discovering Influential Neuron Path in Vision Transformers
ICLR 2025
Learning to Select In-Context Demonstration Preferred by Large Language Model
ACL 2025
EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction
NAACL 2025
EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals
NIPS 2024
CNN Kernels Can Be the Best Shapelets
ICLR 2024
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
NIPS 2024
Benchmarking Data Science Agents
ACL 2024
TaskBench: Benchmarking Large Language Models for Task Automation
NIPS 2024
Towards Editing Time Series
NIPS 2024
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks
EACL 2024
Towards Inference Efficient Deep Ensemble Learning
AAAI 2023
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
NIPS 2023
Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
NIPS 2023
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
AAAI 2023
SIMPLE: Specialized Model-Sample Matching for Domain Generalization
ICLR 2023
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
ICML 2023
Bootstrapped Transformer for Offline Reinforcement Learning
NIPS 2022
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
IJCAI 2022
Reinforcement Learning with Automated Auxiliary Loss Search
NIPS 2022
Universal Trading for Order Execution with Oracle Policy Distillation
AAAI 2021
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport
AAAI 2019
Deep Recurrent Survival Analysis
AAAI 2019
Activation Maximization Generative Adversarial Nets
ICLR 2018