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2020 – today
- 2024
[c7]Mouxiang Chen
, Hao Tian, Zhongxin Liu, Xiaoxue Ren, Jianling Sun:
JumpCoder: Go Beyond Autoregressive Coder via Online Modification. ACL (1) 2024: 11500-11520- [c6]Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun:
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank. ICML 2024 - [c5]Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun:
B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. ASE 2024: 1693-1705 - [c4]Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu:
Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift. KDD 2024: 341-352 - [i8]Mouxiang Chen, Hao Tian, Zhongxin Liu, Xiaoxue Ren, Jianling Sun:
JumpCoder: Go Beyond Autoregressive Coder via Online Modification. CoRR abs/2401.07870 (2024) - [i7]Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun, Chenghao Liu:
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters. CoRR abs/2408.17253 (2024) - [i6]Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun:
B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. CoRR abs/2409.08692 (2024) - [i5]Lishui Fan, Mouxiang Chen, Zhongxin Liu:
Self-Explained Keywords Empower Large Language Models for Code Generation. CoRR abs/2410.15966 (2024) - 2023
- [i4]Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun:
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank. CoRR abs/2309.15560 (2023) - [i3]Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu:
Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift. CoRR abs/2310.14838 (2023) - [i2]Mouxiang Chen, Zemin Liu, Chenghao Liu, Jundong Li, Qiheng Mao, Jianling Sun:
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt. CoRR abs/2310.14845 (2023) - 2022
- [c3]Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun:
Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank. KDD 2022: 136-145 - [c2]Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun:
LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank. NeurIPS 2022 - [i1]Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun:
Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank. CoRR abs/2206.01702 (2022) - 2021
- [c1]Mouxiang Chen, Chenghao Liu, Jianling Sun, Steven C. H. Hoi:
Adapting Interactional Observation Embedding for Counterfactual Learning to Rank. SIGIR 2021: 285-294
Coauthor Index
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