Xu Guo

30 papers A* 3A 1B 1Journal 16Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection.
CoRR
Junru Zhang, Lang Feng, Haoran Shi, Xu Guo, Han Yu, Yabo Dong, Duanqing Xu
2025 — conf
A Digitalized Clock Drawing Test to Enhance Dementia Screening Intentions in Asian Older Adults.
CHI Extended Abstracts
Zhiwei Zeng, Xinjia Cynthia Yu, Xu Guo, Hongchao Jiang, Yanci Zhang, Yang Qiu, Robin Chung Leung Chan, Bo Huang, Zhiqi Shen
2025 — conf
Diffusion-Guided Diversity for Single Domain Generalization in Time Series Classification.
KDD (2)
Junru Zhang, Lang Feng, Xu Guo, Han Yu, Yabo Dong, Duanqing Xu
2025 J jnl
SoftCoT++: Test-Time Scaling with Soft Chain-of-Thought Reasoning.
CoRR
Yige Xu, Xu Guo, Zhiwei Zeng, Chunyan Miao
2025 — conf
SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs.
ACL (1)
Yige Xu, Xu Guo, Zhiwei Zeng, Chunyan Miao
2025 J jnl
SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs.
CoRR
Yige Xu, Xu Guo, Zhiwei Zeng, Chunyan Miao
2025 J jnl
TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning.
CoRR
Junru Zhang, Lang Feng, Xu Guo, Yuhan Wu, Yabo Dong, Duanqing Xu
2024 — conf
A Survey on Natural Language Counterfactual Generation.
EMNLP (Findings)
Yongjie Wang, Xiaoqi Qiu, Yu Yue, Xu Guo, Zhiwei Zeng, Yuhong Feng, Zhiqi Shen
2024 J jnl
A Survey on Natural Language Counterfactual Generation.
CoRR
Yongjie Wang, Xiaoqi Qiu, Yu Yue, Xu Guo, Zhiwei Zeng, Yuhong Feng, Zhiqi Shen
2024 J jnl
Generating Synthetic Datasets for Few-shot Prompt Tuning.
CoRR
Xu Guo, Zilin Du, Boyang Li, Chunyan Miao
2024 J jnl
Generative AI for Synthetic Data Generation: Methods, Challenges and the Future.
CoRR
Xu Guo, Yiqiang Chen
2024 J jnl
Gradient based Feature Attribution in Explainable AI: A Technical Review.
CoRR
Yongjie Wang, Tong Zhang, Xu Guo, Zhiqi Shen
2024 — conf
PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning.
ACL (1)
Xiaoqi Qiu, Yongjie Wang, Xu Guo, Zhiwei Zeng, Yu Yue, Yuhong Feng, Chunyan Miao
2024 J jnl
PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning.
CoRR
Xiaoqi Qiu, Yongjie Wang, Xu Guo, Zhiwei Zeng, Yue Yu, Yuhong Feng, Chunyan Miao
2024 A* conf
RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference.
EMNLP
Yige Xu, Xu Guo, Zhiwei Zeng, Chunyan Miao
2024 J jnl
RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference.
CoRR
Yige Xu, Xu Guo, Zhiwei Zeng, Chunyan Miao
2023 — —
Data-efficient domain adaptation for pretrained language models
Xu Guo
2023 A conf
GranCATs: Cross-Lingual Enhancement through Granularity-Specific Contrastive Adapters.
CIKM
Meizhen Liu, Jiakai He, Xu Guo, Jianye Chen, Siu Cheung Hui, Fengyu Zhou
2023 — conf
InteMATs: Integrating Granularity-Specific Multilingual Adapters for Cross-Lingual Transfer.
EMNLP (Findings)
Meizhen Liu, Xu Guo, Jiakai He, Jianye Chen, Fengyu Zhou, Siu Cheung Hui
2023 A* conf
Training Multimedia Event Extraction With Generated Images and Captions.
ACM Multimedia
Zilin Du, Yunxin Li, Xu Guo, Yidan Sun, Boyang Li
2023 J jnl
Training Multimedia Event Extraction With Generated Images and Captions.
CoRR
Zilin Du, Yunxin Li, Xu Guo, Yidan Sun, Boyang Li
2023 J jnl
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction.
CoRR
Zilin Du, Haoxin Li, Xu Guo, Boyang Li
2022 J jnl
Federated Learning for Personalized Humor Recognition.
ACM Trans. Intell. Syst. Technol.
Xu Guo, Han Yu, Boyang Li, Hao Wang, Pengwei Xing, Siwei Feng, Zaiqing Nie, Chunyan Miao
2022 — conf
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation.
EMNLP (Findings)
Xu Guo, Boyang Li, Han Yu
2022 J jnl
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation.
CoRR
Xu Guo, Boyang Li, Han Yu
2022 B conf
Missing Value Imputation for Diabetes Prediction.
IJCNN
Fei Luo, Hangwei Qian, Di Wang, Xu Guo, Yan Sun, Eng Sing Lee, Hui Hwang Teong, Ray Tian Rui Lai, Chunyan Miao
2021 — conf
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection.
NAACL-HLT
Xu Guo, Boyang Li, Han Yu, Chunyan Miao
2021 J jnl
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection.
CoRR
Xu Guo, Boyang Li, Han Yu, Chunyan Miao
2020 J jnl
Federated Learning with Diversified Preference for Humor Recognition.
CoRR
Xu Guo, Pengwei Xing, Siwei Feng, Boyang Li, Chunyan Miao
2019 A* conf
Agent-based Decision Support for Pain Management in Primary Care Settings.
IJCAI
Xu Guo, Han Yu, Chunyan Miao, Yiqiang Chen