Mouxiang Chen

According to our database, Mouxiang Chen authored at least 18 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Posterior-GRPO: Rewarding Reasoning Processes in Code Generation.

Lishui Fan, Yu Zhang, Mouxiang Chen, Zhongxin Liu

CoRR, August, 2025

VisionTS++: Cross-Modal Time Series Foundation Model with Continual Pre-trained Visual Backbones.

Lefei Shen, Mouxiang Chen, Xu Liu, Han Fu, Xiaoxue Ren, Jianling Sun, Zhuo Li, Chenghao Liu

CoRR, August, 2025

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting.

Lefei Shen, Mouxiang Chen, Han Fu, Xiaoxue Ren, Xiaoyun Joy Wang, Jianling Sun, Zhuo Li, Chenghao Liu

CoRR, July, 2025

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner.

Lei Zhang, Jiaxi Yang, Min Yang, Jian Yang, Mouxiang Chen, Jiajun Zhang, Zeyu Cui, Binyuan Hui, Junyang Lin

CoRR, June, 2025

Build a Good Human-Free Prompt Tuning: Jointly Pre-Trained Template and Verbalizer for Few-Shot Classification.

Mouxiang Chen, Han Fu, Chenghao Liu, Xiaoyun Joy Wang, Zhuo Li, Jianling Sun

IEEE Trans. Knowl. Data Eng., May, 2025

Parallel Scaling Law for Language Models.

Mouxiang Chen, Binyuan Hui, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Jianling Sun, Junyang Lin, Zhongxin Liu

CoRR, May, 2025

SEK: Self-Explained Keywords Empower Large Language Models for Code Generation.

Lishui Fan, Mouxiang Chen, Zhongxin Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Self-Explained Keywords Empower Large Language Models for Code Generation.

Lishui Fan, Mouxiang Chen, Zhongxin Liu

CoRR, 2024

VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters.

Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun, Chenghao Liu

CoRR, 2024

Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift.

Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests.

Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank.

Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

JumpCoder: Go Beyond Autoregressive Coder via Online Modification.

Mouxiang Chen, Hao Tian, Zhongxin Liu, Xiaoxue Ren, Jianling Sun

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt.

Mouxiang Chen, Zemin Liu, Chenghao Liu, Jundong Li, Qiheng Mao, Jianling Sun

CoRR, 2023

Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift.

Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu

CoRR, 2023

2022

LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank.

Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank.

Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Adapting Interactional Observation Embedding for Counterfactual Learning to Rank.

Mouxiang Chen, Chenghao Liu, Jianling Sun, Steven C. H. Hoi

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021