Chengqing Yu

8 papers at tracked venues · 7 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

SIGKDD ×3 AAAI ×2 NeurIPS ×2 CIKM ×1

Frequent coauthors

Yongjun Xu

×8

Zezhi Shao

×7

Fei Wang

×7

Yujie Li

×5

Yisong Fu

×4

Tangwen Qian

×4

Zhulin An

×4

Tao Sun

×2

Boyu Diao

×2

Chuanguang Yang

×2

Wei Wei

×2

Zhao Zhang

×2

Papers

APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift
AAAI 2026 ·
Yujie Li
,
Zezhi Shao
, Chengqing Yu,
Yisong Fu
,
Tao Sun
,
Yongjun Xu
,
Fei Wang
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models
SIGKDD 2025 ·
Zezhi Shao
,
Yujie Li
,
Fei Wang
, Chengqing Yu,
Yisong Fu
,
Tangwen Qian
,
Bin Xu
,
Boyu Diao
,
Yongjun Xu
,
Xueqi Cheng
Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates
SIGKDD 2025 · Chengqing Yu,
Fei Wang
,
Chuanguang Yang
,
Zezhi Shao
,
Tao Sun
,
Tangwen Qian
,
Wei Wei
,
Zhulin An
,
Yongjun Xu
Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition
AAAI 2025 ·
Chuanguang Yang
,
Xinqiang Yu
,
Han Yang
,
Zhulin An
, Chengqing Yu,
Libo Huang
,
Yongjun Xu
On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
NeurIPS 2025 ·
Yisong Fu
,
Fei Wang
,
Zezhi Shao
,
Boyu Diao
,
Lin Wu
,
Zhulin An
, Chengqing Yu,
Yujie Li
,
Yongjun Xu
STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach
CIKM 2025 ·
Yujie Li
,
Zezhi Shao
, Chengqing Yu,
Tangwen Qian
,
Zhao Zhang
,
Yifan Du
,
Shaoming He
,
Fei Wang
,
Yongjun Xu
Selective Learning for Deep Time Series Forecasting
NeurIPS 2025 ·
Yisong Fu
,
Zezhi Shao
, Chengqing Yu,
Yujie Li
,
Zhulin An
,
Qi (Cheems) Wang
,
Yongjun Xu
,
Fei Wang
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
SIGKDD 2024 · Chengqing Yu,
Fei Wang
,
Zezhi Shao
,
Tangwen Qian
,
Zhao Zhang
,
Wei Wei
,
Yongjun Xu