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Chenjuan Guo

18 papers · 2019–2026 · 8 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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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (44) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (17) πŸ† Grand Slam 🌈 Renaissance Researcher (5) ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (97)

Venues

ICLR (5) AAAI (3) ICML (3) IJCAI (3) CVPR (1) ECCV (1) EMNLP (1) NeurIPS (1)

Top co-authors

Bin Yang (17) Yang Shu (8) Peng Chen (5) Yihang Wang (4) Lujia Pan (4) Zhongwen Rao (4) Jilin Hu (4) Xingjian Wu (3) KAI ZHAO (3) Xiangfei Qiu (3)

Research topics

Deep Learning (13) Machine Learning (13) Artificial Intelligence (7) Core AI (6) Core Methods (6) Learning Types Β· Machine Learning (6) Application Areas (5) Architectures (5) Learning Types Β· Deep Learning (4) Data Science & Analytics (3) Methods (3) Models (3) Learning Paradigms (2) Optimization & Theory (2) Techniques (2)

Keywords

time series forecasting (3) multivariate time series (2) unsupervised learning (2) transformer architecture (1) multi-agent reinforcement learning (1) zero-shot learning (1) model quantization (1) multi-task learning (1) offline reinforcement learning (1) model selection (1) domain generalization (1) uncertainty modeling (1) transfer learning (1) anomaly detection (1) curriculum learning (1) feature extraction (1) time series anomaly detection (1) attention mechanism (1) knowledge transfer (1) adversarial learning (1)

Papers

Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline AAAI 2026 Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing AAAI 2026 K^2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting ICML 2025 Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems ICLR 2025 Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components AAAI 2025 CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching ICLR 2025 Enhancing Diversity for Data-free Quantization CVPR 2025 Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation ICLR 2025 LightGTS: A Lightweight General Time Series Forecasting Model ICML 2025 MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models EMNLP 2025 Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders ICLR 2025 Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer ICML 2025 Dependency-aware Differentiable Neural Architecture Search ECCV 2024 Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting ICLR 2024 Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting IJCAI 2022 Weighted Mutual Learning with Diversity-Driven Model Compression NeurIPS 2022 Unsupervised Path Representation Learning with Curriculum Negative Sampling IJCAI 2021 Outlier Detection for Time Series with Recurrent Autoencoder Ensembles IJCAI 2019