Ziqi Xu - RankMe

80 papers A* 21A 3B 1Misc 2Journal 45Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought. EACL (Findings) Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia
2026	J	`jnl`	Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought. CoRR Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia
2026	A*	`conf`	Deep Extreme Transformer: Tackling Zero-Inflated Time Series for Precipitation Prediction. AAAI Wentao Gao, Xiongren Chen, Xiaojing Du, Wenjun Yu, Andres Mauricio Cifuentes Bernal, Ziqi Xu
2026	A*	`conf`	Energy-Efficient Training-Free Zero-Inflation Correction for Rainfall Forecasting with Time-Series Foundation Models. WWW Wentao Gao, Xiaojing Du, Xiongren Chen, Yifan Guo, Andres Mauricio Cifuentes Bernal, Renqiang Luo, Ziqi Xu
2026	J	`jnl`	FairGC: Fairness-aware Graph Condensation. CoRR Yihan Gao, Chenxi Huang, Wen Shi, Ke Sun, Ziqi Xu, Xikun Zhang, Mingliang Hou, Renqiang Luo
2026	A*	`conf`	FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks. WWW Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia
2026	J	`jnl`	FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks. CoRR Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia
2026	A*	`conf`	FairGU: Fairness-aware Graph Unlearning in Social Networks. WWW Renqiang Luo, Yongshuai Yang, Huafei Huang, Qing Qing, Mingliang Hou, Ziqi Xu, Yi Yu, Jingjing Zhou, Feng Xia
2026	J	`jnl`	FairGU: Fairness-aware Graph Unlearning in Social Networks. CoRR Renqiang Luo, Yongshuai Yang, Huafei Huang, Qing Qing, Mingliang Hou, Ziqi Xu, Yi Yu, Jingjing Zhou, Feng Xia
2026	A*	`conf`	Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models. AAAI Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He, Feng Xia, Xiuzhen Zhang
2026	A*	`conf`	Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems. WWW Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Jing Ren, Zhenyun Deng, Debo Cheng
2026	J	`jnl`	Linking model intervention to causal interpretation in model explanation. Pattern Recognit. Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2026	A*	`conf`	MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation. WWW Ranxu Zhang, Junjie Meng, Ying Sun, Ziqi Xu, Bing Yin, Hao Li, Yanyong Zhang, Chao Wang
2026	J	`jnl`	MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation. CoRR Ranxu Zhang, Junjie Meng, Ying Sun, Ziqi Xu, Bing Yin, Hao Li, Yanyong Zhang, Chao Wang
2026	J	`jnl`	Prototype-Enhanced Multi-View Learning for Thyroid Nodule Ultrasound Classification. CoRR Yangmei Chen, Zhongyuan Zhang, Xikun Zhang, Xinyu Hao, Mingliang Hou, Renqiang Luo, Ziqi Xu
2026	A*	`conf`	STELA: Spatiotemporal Forecasting via Graph Learning and Entropy-Guided LLM Adaptation. WWW Tiantian Huang, Yue Li, Wei Shao, Ziqi Xu, Qipeng Song, Hui Li
2026	Misc	`conf`	Securing LLM-as-a-Service for Small Businesses: An Industry Case Study of a Distributed Chatbot Deployment Platform. AISC Jiazhu Xie, Bowen Li, Heyu Fu, Chong Gao, Ziqi Xu, Fengling Han
2026	J	`jnl`	Securing LLM-as-a-Service for Small Businesses: An Industry Case Study of a Distributed Chatbot Deployment Platform. CoRR Jiazhu Xie, Bowen Li, Heyu Fu, Chong Gao, Ziqi Xu, Fengling Han
2026	A*	`conf`	Spiking Graph Predictive Coding for Reliable OOD Generalization. WWW Jing Ren, Jiapeng Du, Bowen Li, Ziqi Xu, Xin Zheng, Hong Jia, Suyu Ma, Xiwei Xu, Feng Xia
2026	J	`jnl`	Spiking Graph Predictive Coding for Reliable OOD Generalization. CoRR Jing Ren, Jiapeng Du, Bowen Li, Ziqi Xu, Xin Zheng, Hong Jia, Suyu Ma, Xiwei Xu, Feng Xia
2026	J	`jnl`	The Missing Adapter Layer for Research Computing. CoRR Bowen Li, Jiazhu Xie, Chelsea Wang, Alessandro Umberto D'Aloia, Ziqi Xu, Fengling Han
2026	A*	`conf`	When to Invoke: Refining LLM Fairness with Toxicity Assessment. WWW Jing Ren, Bowen Li, Ziqi Xu, Renqiang Luo, Shuo Yu, Xin Ye, Haytham Fayek, Xiaodong Li, Feng Xia
2026	J	`jnl`	When to Invoke: Refining LLM Fairness with Toxicity Assessment. CoRR Jing Ren, Bowen Li, Ziqi Xu, Renqiang Luo, Shuo Yu, Xin Ye, Haytham Fayek, Xiaodong Li, Feng Xia
2026	A*	`conf`	When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation. WWW Jing Ren, Bowen Li, Ziqi Xu, Xikun Zhang, Haytham Fayek, Xiaodong Li
2026	J	`jnl`	When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation. CoRR Jing Ren, Bowen Li, Ziqi Xu, Xinkun Zhang, Haytham Fayek, Xiaodong Li
2025	J	`jnl`	An Item Response Theory-based R module for Algorithm Portfolio Analysis. SoftwareX Brodie Oldfield, Sevvandi Kandanaarachchi, Ziqi Xu, Mario Andrés Muñoz
2025	—	`conf`	Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors. ACL (1) Senqi Yang, Dongyu Zhang, Jing Ren, Ziqi Xu, Xiuzhen Zhang, Yiliao Song, Hongfei Lin, Feng Xia
2025	J	`jnl`	Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors. CoRR Senqi Yang, Dongyu Zhang, Jing Ren, Ziqi Xu, Xiuzhen Zhang, Yiliao Song, Hongfei Lin, Feng Xia
2025	J	`jnl`	Data-driven learning optimal K values for K-nearest neighbour matching in causal inference. Data Min. Knowl. Discov. Yinghao Zhang, Tingting Xu, Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Zaiwen Feng
2025	J	`jnl`	Deconfounding representation learning for mitigating latent confounding effects in recommendation. Knowl. Inf. Syst. Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Ziqi Xu, Shichao Zhang
2025	J	`jnl`	Disentangled Representation Learning for Causal Inference With Instruments. IEEE Trans. Neural Networks Learn. Syst. Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Weijia Zhang, Jixue Liu, Thuc Duy Le
2025	J	`jnl`	Explainable Graph Neural Networks: Understanding Brain Connectivity and Biomarkers in Dementia. CoRR Niharika Tewari, Nguyen Linh Dan Le, Mujie Liu, Jing Ren, Ziqi Xu, Tabinda Sarwar, Veeky Baths, Feng Xia
2025	—	`conf`	FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction. SIGSPATIAL/GIS Sichen Zhao, Wei Shao, Jeffrey Chan, Ziqi Xu, Flora Salim
2025	J	`jnl`	FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction. CoRR Sichen Zhao, Wei Shao, Jeffrey Chan, Ziqi Xu, Flora Salim
2025	A*	`conf`	Fairness Evaluation with Item Response Theory. WWW Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong, Eirini Ntoutsi
2025	J	`jnl`	Fairness in Graph Learning Augmented with Machine Learning: A Survey. CoRR Renqiang Luo, Ziqi Xu, Xikun Zhang, Qing Qing, Huafei Huang, Enyan Dai, Zhe Wang, Bo Yang
2025	J	`jnl`	Foundation Models for Anomaly Detection: Vision and Challenges. AI Mag. Jing Ren, Tao Tang, Hong Jia, Ziqi Xu, Haytham Fayek, Xiaodong Li, Suyu Ma, Xiwei Xu, Feng Xia
2025	J	`jnl`	Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models. CoRR Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He, Feng Xia, Xiuzhen Zhang
2025	J	`jnl`	Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems. CoRR Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Jing Ren, Zhenyun Deng, Debo Cheng
2025	A*	`conf`	Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders. WWW Haolin Wang, Lin Liu, Jiuyong Li, Ziqi Xu, Jixue Liu, Zehong Cao, Debo Cheng
2025	A*	`conf`	PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation. SIGIR Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan
2025	J	`jnl`	PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation. CoRR Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan
2025	A	`conf`	Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework. CIKM Brodie Oldfield, Ziqi Xu, Sevvandi Kandanaarachchi
2025	J	`jnl`	Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework. CoRR Brodie Oldfield, Ziqi Xu, Sevvandi Kandanaarachchi
2025	A*	`conf`	Telling Peer Direct Effects from Indirect Effects in Observational Network Data. ICML Xiaojing Du, Jiuyong Li, Debo Cheng, Lin Liu, Wentao Gao, Xiongren Chen, Ziqi Xu
2025	A	`conf`	Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems. CIKM Xinye Wanyan, Danula Hettiachchi, Chenglong Ma, Ziqi Xu, Jeffrey Chan
2025	J	`jnl`	Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems. CoRR Xinye Wanyan, Danula Hettiachchi, Chenglong Ma, Ziqi Xu, Jeffrey Chan
2025	—	`conf`	Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory. WWW (Companion Volume) Ziqi Xu, Chenglong Ma, Yongli Ren, Jeffrey Chan, Wei Shao, Feng Xia
2025	A	`conf`	Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment. CIKM Bo Zhao, Yinghao Zhang, Ziqi Xu, Yongli Ren, Xiuzhen Zhang, Renqiang Luo, Zaiwen Feng, Feng Xia
2025	J	`jnl`	Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment. CoRR Bo Zhao, Yinghao Zhang, Ziqi Xu, Yongli Ren, Xiuzhen Zhang, Renqiang Luo, Zaiwen Feng, Feng Xia
2025	Misc	`conf`	XEvalAD: An Explainable Evaluation Framework for Anomaly Detection via Item Response Theory. ADC Saba Fathi Rabooki, Ziqi Xu, Elham Naghizade, Feng Xia
2024	J	`jnl`	An Item Response Theory-based R Module for Algorithm Portfolio Analysis. CoRR Brodie Oldfield, Sevvandi Kandanaarachchi, Ziqi Xu, Mario Andrés Muñoz
2024	J	`jnl`	Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables. CoRR Yang Xie, Ziqi Xu, Debo Cheng, Jiuyong Li, Lin Liu, Yinghao Zhang, Zaiwen Feng
2024	A*	`conf`	Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. ICLR Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
2024	A*	`conf`	Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. ICLR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
2024	J	`jnl`	Deconfounding Time Series Forecasting. CoRR Wentao Gao, Feiyu Yang, Mengze Hong, Xiaojing Du, Zechen Hu, Xiongren Chen, Ziqi Xu
2024	J	`jnl`	Disentangled Representation Learning for Causal Inference with Instruments. CoRR Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Weijia Zhang, Jixue Liu, Thuc Duy Le
2024	J	`jnl`	Fairness Evaluation with Item Response Theory. CoRR Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong, Eirini Ntoutsi
2024	A*	`conf`	Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. AAAI Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le
2024	J	`jnl`	Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Xudong Guo, Shichao Zhang
2024	J	`jnl`	Linking Model Intervention to Causal Interpretation in Model Explanation. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2024	J	`jnl`	TSI: A Multi-View Representation Learning Approach for Time Series Forecasting. CoRR Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen
2024	—	`conf`	TSI: A Multi-view Representation Learning Approach for Time Series Forecasting. AI (1) Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen
2023	B	`conf`	A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation. WISE Tingting Xu, Yinghao Zhang, Jiuyong Li, Lin Liu, Ziqi Xu, Debo Cheng, Zaiwen Feng
2023	J	`jnl`	Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion. CoRR Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
2023	J	`jnl`	Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. CoRR Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
2023	A*	`conf`	Causal Inference with Conditional Instruments Using Deep Generative Models. AAAI Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
2023	J	`jnl`	Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
2023	A*	`conf`	Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference. ICDM Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng
2023	J	`jnl`	Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference. CoRR Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng
2023	A*	`conf`	Disentangled Representation for Causal Mediation Analysis. AAAI Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang
2023	J	`jnl`	Disentangled Representation for Causal Mediation Analysis. CoRR Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang
2023	—	`conf`	Disentangled Representation with Causal Constraints for Counterfactual Fairness. PAKDD (1) Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
2023	J	`jnl`	Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le
2023	—	`conf`	Learning Conditional Instrumental Variable Representation for Causal Effect Estimation. ECML/PKDD (1) Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu
2023	J	`jnl`	Learning Conditional Instrumental Variable Representation for Causal Effect Estimation. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu
2023	J	`jnl`	Linking a predictive model to causal effect estimation. CoRR Jiuyong Li, Lin Liu, Ziqi Xu, Ha Xuan Tran, Thuc Duy Le, Jixue Liu
2022	—	`conf`	Assessing Classifier Fairness with Collider Bias. PAKDD (2) Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
2022	J	`jnl`	Causal Inference with Conditional Instruments using Deep Generative Models. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
2022	J	`jnl`	Disentangled Representation with Causal Constraints for Counterfactual Fairness. CoRR Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang