Adapting Interactional Observation Embedding for Counterfactual Learning to Rank. - Mouxiang Chen; Chenghao Liu; Jianling Sun; Steven C. H. Hoi (SIGIR, 2021)

Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank. - Mouxiang Chen; Chenghao Liu; Zemin Liu; Jianling Sun (KDD, 2022)

LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank. - Mouxiang Chen; Chenghao Liu; Zemin Liu; Jianling Sun (NeurIPS, 2022)

Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift. - Mouxiang Chen; Lefei Shen; Han Fu; Zhuo Li 014; Jianling Sun; Chenghao Liu (CoRR, 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)

JumpCoder: Go Beyond Autoregressive Coder via Online Modification. - Mouxiang Chen; Hao Tian; Zhongxin Liu 002; Xiaoxue Ren; Jianling Sun (ACL (1), 2024)

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank. - Mouxiang Chen; Chenghao Liu; Zemin Liu; Zhuo Li 014; Jianling Sun (ICML, 2024)

B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. - Mouxiang Chen; Zhongxin Liu 002; He Tao; Yusu Hong; David Lo 001; Xin Xia 001; Jianling Sun (ASE, 2024)

Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift. - Mouxiang Chen; Lefei Shen; Han Fu; Zhuo Li 014; Jianling Sun; Chenghao Liu (KDD, 2024)

VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters. - Mouxiang Chen; Lefei Shen; Zhuo Li 014; Xiaoyun Joy Wang; Jianling Sun; Chenghao Liu (CoRR, 2024)

Self-Explained Keywords Empower Large Language Models for Code Generation. - Lishui Fan; Mouxiang Chen; Zhongxin Liu (CoRR, 2024)

SEK: Self-Explained Keywords Empower Large Language Models for Code Generation. - Lishui Fan; Mouxiang Chen; Zhongxin Liu (ACL (Findings), 2025)

Parallel Scaling Law for Language Models. - Mouxiang Chen; Binyuan Hui; Zeyu Cui; Jiaxi Yang; Dayiheng Liu; Jianling Sun; Junyang Lin; Zhongxin Liu 002 (CoRR, 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 014; Jianling Sun (IEEE Trans. Knowl. Data Eng., 2025)

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner. - Lei Zhang 201; Jiaxi Yang 004; Min Yang 007; Jian Yang 003; Mouxiang Chen; Jiajun Zhang; Zeyu Cui; Binyuan Hui; Junyang Lin (CoRR, 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 014; Chenghao Liu (CoRR, 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 014; Chenghao Liu (CoRR, 2025)

Posterior-GRPO: Rewarding Reasoning Processes in Code Generation. - Lishui Fan; Yu Zhang; Mouxiang Chen; Zhongxin Liu (CoRR, 2025)