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Kan Ren

26 papers · 2018–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (61) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (15) 🧬 Topic Evolution πŸ† Grand Slam πŸ‘‘ Triple Crown ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer 🌈 Renaissance Researcher (8) πŸ—ƒοΈ Keyword Collector (142)

Venues

NeurIPS (8) AAAI (5) ICLR (4) ACL (2) CVPR (2) ICML (2) EACL (1) IJCAI (1) NAACL (1)

Top co-authors

Dongsheng Li (15) Weinan Zhang (8) Yong Yu (5) Yansen Wang (5) Xufang Luo (4) Yuqing Yang (4) Yifei Shen (3) XINYANG JIANG (3) Yuge Zhang (3) Kaitao Song (3)

Research topics

Machine Learning (19) Deep Learning (14) Learning Types Β· Machine Learning (11) Artificial Intelligence (10) Core Methods (9) Core AI (8) Application Areas (6) Architectures (6) Learning Types Β· Deep Learning (6) Models (6) Optimization & Theory (6) Reinforcement Learning (5) Methods (5) Data Science & Analytics (4) Natural Language Processing (4)

Keywords

large language model (6) reinforcement learning (4) diffusion model (3) unsupervised learning (3) representation learning (3) model selection (2) task automation (2) autonomous agent (2) online learning (1) offline reinforcement learning (1) sequence generation (1) image generation (1) few-shot learning (1) vision transformer (1) transformer architecture (1) domain adaptation (1) variational inference (1) benchmark evaluation (1) ensemble learning (1) domain generalization (1)

Papers

No Labels, No Look-Ahead: Unsupervised Online Video Stabilization with Classical Priors CVPR 2026 Discovering Influential Neuron Path in Vision Transformers ICLR 2025 Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability CVPR 2025 EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction NAACL 2025 Learning to Select In-Context Demonstration Preferred by Large Language Model ACL 2025 VerbalTS: Generating Time Series from Texts ICML 2025 Benchmarking Data Science Agents ACL 2024 CNN Kernels Can Be the Best Shapelets ICLR 2024 Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization NeurIPS 2024 EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals NeurIPS 2024 MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks EACL 2024 TaskBench: Benchmarking Large Language Models for Task Automation NeurIPS 2024 Towards Editing Time Series NeurIPS 2024 CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling ICML 2023 ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling NeurIPS 2023 Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling AAAI 2023 Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling NeurIPS 2023 SIMPLE: Specialized Model-Sample Matching for Domain Generalization ICLR 2023 Towards Inference Efficient Deep Ensemble Learning AAAI 2023 Bootstrapped Transformer for Offline Reinforcement Learning NeurIPS 2022 Reinforcement Learning with Automated Auxiliary Loss Search NeurIPS 2022 Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble IJCAI 2022 Universal Trading for Order Execution with Oracle Policy Distillation AAAI 2021 Deep Recurrent Survival Analysis AAAI 2019 Guiding the One-to-One Mapping in CycleGAN via Optimal Transport AAAI 2019 Activation Maximization Generative Adversarial Nets ICLR 2018