| 2026 | AAAI | 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 |
| 2026 | AAAI | 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 |
| 2026 | AAAI | Synthetic Forgetting Without Access: A Few-Shot Zero-Glance Framework for Machine Unlearning. | Qipeng Song, Nan Yang, Ziqi Xu, Yue Li, Wei Shao, Feng Xia |
| 2026 | AAAI | STEAMROLLER: A Multi-Agent System for Inclusive Automatic Speech Recognition for People Who Stutter. | Ziqi Xu, Yi Liu, Yuekang Li, Ling Shi, Kailong Wang, Yongxin Zhao |
| 2026 | ACL | CURA: Clinical Uncertainty Risk Alignment for Language Model-Based Risk Prediction. | Sizhe Wang, Ziqi Xu, Claire Najjuuko, Charles Alba, Chenyang Lu |
| 2026 | EACL | 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 |
| 2026 | IWCMC | Prototype-Enhanced Multi-View Learning for Thyroid Nodule Ultrasound Classification. | Yangmei Chen, Zhongyuan Zhang, Xikun Zhang, Xinyu Hao, Mingliang Hou, Renqiang Luo, Ziqi Xu |
| 2026 | WWW | 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 |
| 2026 | WWW | STELA: Spatiotemporal Forecasting via Graph Learning and Entropy-Guided LLM Adaptation. | Tiantian Huang, Yue Li, Wei Shao, Ziqi Xu, Qipeng Song, Hui Li |
| 2026 | WWW | 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 |
| 2026 | WWW | 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 |
| 2026 | WWW | 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 |
| 2026 | WWW | When to Invoke: Refining LLM Fairness with Toxicity Assessment. | Jing Ren, Bowen Li, Ziqi Xu, Renqiang Luo, Shuo Yu, Xin Ye, Haytham M. Fayek, Xiaodong Li, Feng Xia |
| 2026 | WWW | When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation. | Jing Ren, Bowen Li, Ziqi Xu, Xikun Zhang, Haytham M. Fayek, Xiaodong Li |
| 2026 | WWW | 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 |
| 2026 | WWW | 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 |
| 2026 | SIGIR | Verifiable User Simulation for Search and Recommendation Systems. | Chenglong Ma, Xinye Wanyan, Danula Hettiachchi, Ziqi Xu, Yongli Ren, Jeffrey Chan |
| 2026 | SIGIR | ExODRec: An Explainable Framework for Outlier Detection Model Recommendation. | Saba Fathi Rabooki, Ziqi Xu, Elham Naghizade |
| 2026 | SIGIR | Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models. | Xinye Wanyan, Chenglong Ma, Danula Hettiachchi, Ziqi Xu, Jeffrey Chan |
| 2026 | SIGIR | Mitigating Bias in Large Language Model Based Question Answering through Causal Front Door Prompting. | Yaqi Yang, Ziqi Xu, Jie Li, Chenglong Ma, Jeffrey Chan, Mark Sanderson, Xin Zheng, Yongli Ren |
| 2025 | ACL | Utilizing Semantic Textual Similarity for Clinical Survey Data Feature Selection. | Benjamin C. Warner, Ziqi Xu, Simon Haroutounian, Thomas George Kannampallil, Chenyang Lu |
| 2025 | ACL | 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 |
| 2025 | ADC | XEvalAD: An Explainable Evaluation Framework for Anomaly Detection via Item Response Theory. | Saba Fathi Rabooki, Ziqi Xu, Elham Naghizade, Feng Xia |
| 2025 | CIKM | Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework. | Brodie Oldfield, Ziqi Xu, Sevvandi Kandanaarachchi |
| 2025 | CIKM | Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems. | Xinye Wanyan, Danula Hettiachchi, Chenglong Ma, Ziqi Xu, Jeffrey Chan |
| 2025 | CIKM | 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 |
| 2025 | ICML | 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 |
| 2025 | IROS | Throwing Planning Diffusion: A Solution to Learning and Planning of Robotic Throwing. | Ziqi Xu, Haodu Li, Lihao Liu, Jun Liu, Xuechao Duan |
| 2025 | WWW | 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 |
| 2025 | WWW | Fairness Evaluation with Item Response Theory. | Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong, Eirini Ntoutsi |
| 2025 | WWW | Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory. | Ziqi Xu, Chenglong Ma, Yongli Ren, Jeffrey Chan, Wei Shao, Feng Xia |
| 2025 | SIGIR | PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation. | Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan |
| 2024 | AAAI | 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 |
| 2024 | ICLR | Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. | Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le |
| 2024 | ICLR | Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. | Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu |
| 2023 | AAAI | Causal Inference with Conditional Instruments Using Deep Generative Models. | Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le |
| 2023 | AAAI | Disentangled Representation for Causal Mediation Analysis. | Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang |
| 2023 | ICDM | 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 |
| 2023 | KDD | Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation. | Bing Xue, Ahmed Sameh Said, Ziqi Xu, Hanyang Liu, Neel Shah, Hanqing Yang, Philip R. O. Payne, Chenyang Lu |
| 2023 | PAKDD | Disentangled Representation with Causal Constraints for Counterfactual Fairness. | Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang |
| 2023 | WISE | 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 |
| 2022 | DSAA | Research on Mini-Batch Affinity Propagation Clustering Algorithm. | Ziqi Xu, Yahui Lu, Yu Jiang |
| 2022 | NDSS | PoF: Proof-of-Following for Vehicle Platoons. | Ziqi Xu, Jingcheng Li, Yanjun Pan, Loukas Lazos, Ming Li, Nirnimesh Ghose |
| 2022 | PAKDD | Assessing Classifier Fairness with Collider Bias. | Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang |
| 2021 | HPCC | HASP: High Availability SFC Placement Approach in Data Center Network. | Ziqi Xu, Qingmian Han, Bo Cheng, Meng Niu, Junliang Chen |
| 2021 | MOBIHOC | Man-in-the-Middle Attack Resistant Secret Key Generation via Channel Randomization. | Yanjun Pan, Ziqi Xu, Ming Li, Loukas Lazos |