Ching Chang

15 papers A* 2A 2Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models.
CoRR
Ching Chang, Yidan Shi, Defu Cao, Wei Yang, Jeehyun Hwang, Haixin Wang, Jiacheng Pang, Wei Wang, Yan Liu, Wen-Chih Peng, Tien-Fu Chen
2025 J jnl
FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation.
CoRR
Haixin Wang, Ruoyan Li, Fred Xu, Fang Sun, Kaiqiao Han, Zijie Huang, Guancheng Wan, Ching Chang, Xiao Luo, Wei Wang, Yizhou Sun
2025 J jnl
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters.
ACM Trans. Intell. Syst. Technol.
Ching Chang, Wei-Yao Wang, Wen-Chih Peng, Tien-Fu Chen
2025 J jnl
MemPromptTSS: Persistent Prompt Memory for Iterative Multi-Granularity Time Series State Segmentation.
CoRR
Ching Chang, Ming-Chih Lo, Chiao-Tung Chan, Wen-Chih Peng, Tien-Fu Chen
2025 A conf
PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation.
CIKM
Ching Chang, Ming-Chih Lo, Wen-Chih Peng, Tien-Fu Chen
2025 J jnl
PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation.
CoRR
Ching Chang, Ming-Chih Lo, Wen-Chih Peng, Tien-Fu Chen
2025 J jnl
Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series.
CoRR
Ching Chang, Jeehyun Hwang, Yidan Shi, Haixin Wang, Wen-Chih Peng, Tien-Fu Chen, Wei Wang
2024 A conf
COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing Data.
CIKM
Ting-Yun Ou, Ching Chang, Wen-Chih Peng
2024 J jnl
COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing Data.
CoRR
Ting-Yun Ou, Ching Chang, Wen-Chih Peng
2024 J jnl
Root Cause Analysis In Microservice Using Neural Granger Causal Discovery.
CoRR
Cheng-Ming Lin, Ching Chang, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng
2024 A* conf
Root Cause Analysis in Microservice Using Neural Granger Causal Discovery.
AAAI
Cheng-Ming Lin, Ching Chang, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng
2024 A* conf
TimeDRL: Disentangled Representation Learning for Multivariate Time-Series.
ICDE
Ching Chang, Chiao-Tung Chan, Wei-Yao Wang, Wen-Chih Peng, Tien-Fu Chen
2023 J jnl
Detecting and Ranking Causal Anomalies in End-to-End Complex System.
CoRR
Ching Chang, Cheng-Han Yeh, Wen-Chih Peng
2023 J jnl
LLM4TS: Two-Stage Fine-Tuning for Time-Series Forecasting with Pre-Trained LLMs.
CoRR
Ching Chang, Wen-Chih Peng, Tien-Fu Chen
2023 J jnl
TimeDRL: Disentangled Representation Learning for Multivariate Time-Series.
CoRR
Ching Chang, Chiao-Tung Chan, Wei-Yao Wang, Wen-Chih Peng, Tien-Fu Chen