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Chenjuan Guo

18 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (6) 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (8) πŸ—ΊοΈ Taxonomy Completionist (33)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸ† Grand Slam 🀝 Dynamic Duo (15) 🌱 Topic Pioneer ⚑ Prolific Year (10) πŸ’Ž Century Club (16) πŸ—ƒοΈ Keyword Collector (55)

Conferences

ICLR (5) AAAI (3) ICML (3) IJCAI (3) CVPR (1) ECCV (1) EMNLP (1) NIPS (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 Enhancing Diversity for Data-free Quantization CVPR 2025 MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models EMNLP 2025 Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems ICLR 2025 Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders ICLR 2025 CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching ICLR 2025 Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation ICLR 2025 Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components AAAI 2025 LightGTS: A Lightweight General Time Series Forecasting Model ICML 2025 Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer ICML 2025 $K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting ICML 2025 Dependency-aware Differentiable Neural Architecture Search ECCV 2024 Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting ICLR 2024 Weighted Mutual Learning with Diversity-Driven Model Compression NIPS 2022 Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting IJCAI 2022 Unsupervised Path Representation Learning with Curriculum Negative Sampling IJCAI 2021 Outlier Detection for Time Series with Recurrent Autoencoder Ensembles IJCAI 2019