Ziqi Xu

According to our database, Ziqi Xu authored at least 63 papers between 2022 and 2026.

Collaborative distances:

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

2026

Causal Prompting for Implicit Sentiment Analysis With Large Language Models.

Jing Ren, Wenhao Zhou, Bowen Li, Mujie Liu, Nguyen Linh Dan Le, Jiade Cen, Liping Chen, Ziqi Xu, Xiwei Xu, Xiaodong Li

IEEE Trans. Comput. Soc. Syst., June, 2026

Benchmarking Fairness in Spiking Neural Networks: Data Bias, Spurious Features, and Hardware Effects.

Hudi He, Fukun Wang, Zhe Wang, Xinyi Wang, Shuhan Ye, Jiarui Liu, Qing Qing, Ziqi Xu, Xikun Zhang, Renqiang Luo

CoRR, May, 2026

TERGAD: Structure-Aware Text-Enhanced Representations for Graph Anomaly Detection.

Wen Shi, Zhe Wang, Huafei Huang, Qing Qing, Ziqi Xu, Qixin Zhang, Xikun Zhang, Renqiang Luo, Feng Xia

CoRR, May, 2026

Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models.

Xinye Wanyan, Chenglong Ma, Danula Hettiachchi, Ziqi Xu, Jeffrey Chan

CoRR, May, 2026

PrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphs.

Yousef A. Radwan, Yao Li, Qing Qing, Ziqi Xu, Xingtong Yu, Jiaxing Huang, Renqiang Luo, Xikun Zhang

CoRR, May, 2026

CMKL: Modality-Aware Continual Learning for Evolving Biomedical Knowledge Graphs.

Yousef A. Radwan, Yao Li, Qing Qing, Ziqi Xu, Qixin Zhang, Yongcheng Jing, Renqiang Luo, Xikun Zhang

CoRR, May, 2026

UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning.

Danhui Zhang, Zhe Wang, Qing Qing, Jiarui Liu, Wentao Gao, Ziqi Xu, Mingliang Hou, Xikun Zhang, Renqiang Luo

CoRR, May, 2026

Learning Multi-Relational Graph Representations for DNA Methylation-Based Biological Age Estimation.

Qing Qing, Xikun Zhang, Zhongyuan Zhang, Jiarui Liu, Xingtong Yu, Xiaotao Shen, Ziqi Xu, Qixin Zhang, Zhe Wang, Renqiang Luo

CoRR, May, 2026

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges.

Jingjing Zhou, Shiyu Huang, Qing Qing, Zuquan Yuan, Huafei Huang, Ziqi Xu, Mingliang Hou, Xikun Zhang, Renqiang Luo, Ivan Lee

CoRR, May, 2026

Stable Multimodal Graph Unlearning via Feature-Dimension Aware Quantile Selection.

Jingjing Zhou, Yongshuai Yang, Qing Qing, Ziqi Xu, Xikun Zhang, Renqiang Luo, Ivan Lee, Feng Xia

CoRR, May, 2026

FairGC: Fairness-aware Graph Condensation.

Yihan Gao, Chenxi Huang, Wen Shi, Ke Sun, Ziqi Xu, Xikun Zhang, Mingliang Hou, Renqiang Luo

CoRR, March, 2026

Prototype-Enhanced Multi-View Learning for Thyroid Nodule Ultrasound Classification.

Yangmei Chen, Zhongyuan Zhang, Xikun Zhang, Xinyu Hao, Mingliang Hou, Renqiang Luo, Ziqi Xu

CoRR, March, 2026

The Missing Adapter Layer for Research Computing.

Bowen Li, Jiazhu Xie, Chelsea Wang, Alessandro Umberto D'Aloia, Ziqi Xu, Fengling Han

CoRR, March, 2026

GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems.

Hongjiang Chen, Xin Zheng, Yixin Liu, Pengfei Jiao, Shiyuan Li, Huan Liu, Zhidong Zhao, Ziqi Xu, Ibrahim Khalil, Shirui Pan

CoRR, March, 2026

When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation.

Jing Ren, Bowen Li, Ziqi Xu, Xinkun Zhang, Haytham Fayek, Xiaodong Li

CoRR, January, 2026

Linking model intervention to causal interpretation in model explanation.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

Pattern Recognit., 2026

Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems.

Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Jing Ren, Zhenyun Deng, Debo Cheng

Proceedings of the ACM Web Conference 2026, 2026

MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation.

Ranxu Zhang, Junjie Meng, Ying Sun, Ziqi Xu, Bing Yin, Hao Li, Yanyong Zhang, Chao Wang

Proceedings of the ACM Web Conference 2026, 2026

When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation.

Jing Ren, Bowen Li, Ziqi Xu, Xikun Zhang, Haytham Fayek, Xiaodong Li

Proceedings of the ACM Web Conference 2026, 2026

When to Invoke: Refining LLM Fairness with Toxicity Assessment.

Jing Ren, Bowen Li, Ziqi Xu, Renqiang Luo, Shuo Yu, Xin Ye, Haytham Fayek, Xiaodong Li, Feng Xia

Proceedings of the ACM Web Conference 2026, 2026

Spiking Graph Predictive Coding for Reliable OOD Generalization.

Jing Ren, Jiapeng Du, Bowen Li, Ziqi Xu, Xin Zheng, Hong Jia, Suyu Ma, Xiwei Xu, Feng Xia

Proceedings of the ACM Web Conference 2026, 2026

FairGU: Fairness-aware Graph Unlearning in Social Networks.

Renqiang Luo, Yongshuai Yang, Huafei Huang, Qing Qing, Mingliang Hou, Ziqi Xu, Yi Yu, Jingjing Zhou, Feng Xia

Proceedings of the ACM Web Conference 2026, 2026

FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks.

Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia

Proceedings of the ACM Web Conference 2026, 2026

STELA: Spatiotemporal Forecasting via Graph Learning and Entropy-Guided LLM Adaptation.

Tiantian Huang, Yue Li, Wei Shao, Ziqi Xu, Qipeng Song, Hui Li

Proceedings of the ACM Web Conference 2026, 2026

Energy-Efficient Training-Free Zero-Inflation Correction for Rainfall Forecasting with Time-Series Foundation Models.

Wentao Gao, Xiaojing Du, Xiongren Chen, Yifan Guo, Andres Mauricio Cifuentes Bernal, Renqiang Luo, Ziqi Xu

Proceedings of the ACM Web Conference 2026, 2026

Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought.

Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Securing LLM-as-a-Service for Small Businesses: An Industry Case Study of a Distributed Chatbot Deployment Platform.

Jiazhu Xie, Bowen Li, Heyu Fu, Chong Gao, Ziqi Xu, Fengling Han

Proceedings of the 2026 Australasian Information Security Conference, 2026

Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models.

Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He, Feng Xia, Xiuzhen Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Deep Extreme Transformer: Tackling Zero-Inflated Time Series for Precipitation Prediction.

Wentao Gao, Xiongren Chen, Xiaojing Du, Wenjun Yu, Andres Mauricio Cifuentes Bernal, Ziqi Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Explainable Graph Neural Networks: Understanding Brain Connectivity and Biomarkers in Dementia.

Niharika Tewari, Nguyen Linh Dan Le, Mujie Liu, Jing Ren, Ziqi Xu, Tabinda Sarwar, Veeky Baths, Feng Xia

CoRR, September, 2025

Disentangled Representation Learning for Causal Inference With Instruments.

Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Weijia Zhang, Jixue Liu, Thuc Duy Le

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Deconfounding representation learning for mitigating latent confounding effects in recommendation.

Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Ziqi Xu, Shichao Zhang

Knowl. Inf. Syst., July, 2025

Data-driven learning optimal K values for K-nearest neighbour matching in causal inference.

Yinghao Zhang, Tingting Xu, Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Zaiwen Feng

Data Min. Knowl. Discov., July, 2025

Fairness in Graph Learning Augmented with Machine Learning: A Survey.

Renqiang Luo, Ziqi Xu, Xikun Zhang, Qing Qing, Huafei Huang, Enyan Dai, Zhe Wang, Bo Yang

CoRR, April, 2025

An Item Response Theory-based R module for Algorithm Portfolio Analysis.

Brodie Oldfield, Sevvandi Kandanaarachchi, Ziqi Xu, Mario Andrés Muñoz

SoftwareX, 2025

Foundation Models for Anomaly Detection: Vision and Challenges.

Jing Ren, Tao Tang, Hong Jia, Ziqi Xu, Haytham Fayek, Xiaodong Li, Suyu Ma, Xiwei Xu, Feng Xia

AI Mag., 2025

Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory.

Ziqi Xu, Chenglong Ma, Yongli Ren, Jeffrey Chan, Wei Shao, Feng Xia

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Fairness Evaluation with Item Response Theory.

Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong, Eirini Ntoutsi

Proceedings of the ACM on Web Conference 2025, 2025

Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders.

Haolin Wang, Lin Liu, Jiuyong Li, Ziqi Xu, Jixue Liu, Zehong Cao, Debo Cheng

Proceedings of the ACM on Web Conference 2025, 2025

PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation.

Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Telling Peer Direct Effects from Indirect Effects in Observational Network Data.

Xiaojing Du, Jiuyong Li, Debo Cheng, Lin Liu, Wentao Gao, Xiongren Chen, Ziqi Xu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction.

Sichen Zhao, Wei Shao, Jeffrey Chan, Ziqi Xu, Flora Salim

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment.

Bo Zhao, Yinghao Zhang, Ziqi Xu, Yongli Ren, Xiuzhen Zhang, Renqiang Luo, Zaiwen Feng, Feng Xia

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems.

Xinye Wanyan, Danula Hettiachchi, Chenglong Ma, Ziqi Xu, Jeffrey Chan

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework.

Brodie Oldfield, Ziqi Xu, Sevvandi Kandanaarachchi

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

XEvalAD: An Explainable Evaluation Framework for Anomaly Detection via Item Response Theory.

Saba Fathi Rabooki, Ziqi Xu, Elham Naghizade, Feng Xia

Proceedings of the Databases Theory and Applications, 2025

Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors.

Senqi Yang, Dongyu Zhang, Jing Ren, Ziqi Xu, Xiuzhen Zhang, Yiliao Song, Hongfei Lin, Feng Xia

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Xudong Guo, Shichao Zhang

CoRR, 2024

Deconfounding Time Series Forecasting.

Wentao Gao, Feiyu Yang, Mengze Hong, Xiaojing Du, Zechen Hu, Xiongren Chen, Ziqi Xu

CoRR, 2024

Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables.

Yang Xie, Ziqi Xu, Debo Cheng, Jiuyong Li, Lin Liu, Yinghao Zhang, Zaiwen Feng

CoRR, 2024

Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Conditional Instrumental Variable Regression with Representation Learning for Causal Inference.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le

Proceedings of the Twelfth International Conference on Learning Representations, 2024

TSI: A Multi-view Representation Learning Approach for Time Series Forecasting.

Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu

CoRR, 2023

Linking a predictive model to causal effect estimation.

Jiuyong Li, Lin Liu, Ziqi Xu, Ha Xuan Tran, Thuc Duy Le, Jixue Liu

CoRR, 2023

A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation.

Tingting Xu, Yinghao Zhang, Jiuyong Li, Lin Liu, Ziqi Xu, Debo Cheng, Zaiwen Feng

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Learning Conditional Instrumental Variable Representation for Causal Effect Estimation.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Disentangled Representation with Causal Constraints for Counterfactual Fairness.

Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference.

Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng

Proceedings of the IEEE International Conference on Data Mining, 2023

Disentangled Representation for Causal Mediation Analysis.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Causal Inference with Conditional Instruments Using Deep Generative Models.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Assessing Classifier Fairness with Collider Bias.

Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022