Jiecheng Lu

5 papers · 2024–2025 · 2 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

ICML (3) ICLR (2)

Top co-authors

Shihao Yang (5) Xu Han (3) Yan Sun (3)

Research topics

Deep Learning (4) Machine Learning (4) Architectures (3) Artificial Intelligence (2) Data Science & Analytics (2) Core AI (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Methods (2) Application Areas (1) Core Methods (1)

Keywords

time series forecasting (3) few-shot learning (1) attention mechanism (1) in-context learning (1) tokenization (1) adaptive learning (1) transformer (1) sparsity (1) linear attention (1) multivariate time series forecasting (1) multivariate forecasting (1) large language model (1) moving average (1) temporal-contextual learning (1) inter-series dependencies (1) autoregressive (1) auxiliary time series (1) continuity (1) original time series (1) temporal-contextual attention (1)

Papers

In-context Time Series Predictor ICLR 2025 Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting ICML 2025 WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting ICML 2025 ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning ICLR 2024 CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables ICML 2024