Accepted Papers (To Appear)

• The "Curse of Knowledge" in LLM Query Simulation: Concept Provenance for Tracing Answer-Side Intrusion

  The Conference on Information and Knowledge Management (CIKM 2026)

• Beyond Static Profiles: Intent-Aware Behavioural Control for LLM-based Recommendation Simulation

  The Conference on Information and Knowledge Management (CIKM 2026)

• Evidence-Aware Prompting for Causal Fact Verification with Large Language Models

  The Conference on Information and Knowledge Management (CIKM 2026)

• Graph Data-Centric Evaluator for Test-Time GNN Performance Estimation

  IEEE International Conference on Data Mining (ICDM 2026)

• DTG-RAG: Dual-Track Graph Retrieval-Augmented Generation for Zero-Shot Recommendation

  IEEE International Conference on Data Mining (ICDM 2026)

• Decouple to Forget: Semantic Mediation for Sensitive Unlearning in Large Language Models

  Empirical Methods in Natural Language Processing (EMNLP 2026)

• Twin Worlds: Equivariance-Based Abstention for Evidence-Grounded Reasoning

  Empirical Methods in Natural Language Processing (EMNLP 2026)

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

  The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS 2026)

• Why Are LLMs Confidently Wrong? Correcting Overconfident Errors via Causal Head Intervention

  The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS 2026)

• The Commit-Abstain Circuit: Why Language Models Hallucinate Instead of Abstaining

  The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS 2026)

Conference

45. FedCARE: Federated Unlearning with Conflict-Aware Projection and Relearning-Resistant Recovery [DOI] [Paper]

    Yue Li, Mingmin Chu, Xilei Yang, Da Xiao, Ziqi Xu, Wei Shao, Qipeng Song, Hui Li

    Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence and the 29th European Conference on Artificial Intelligence, IJCAI/ECAI 2026, Bremen, Germany, 15-21 August 2026, pp. 5576–5584, 2026

46. Causal Abstraction Learning for Multi-Modal Grounded Planning [DOI] [Paper]

    Xinshu Li, Shiyi Yang, Ziqi Xu^*, Feng Xia, Quan Z. Sheng, Lina Yao

    Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, KDD 2026, Jeju Island, Korea, August 9-13, 2026, pp. 2790–2801, 2026

47. HiBrain: Hierarchical Prototype Learning on Multimodal Brain Graphs for Stage-Aware Biomarker Discovery [DOI] [Paper]

    Jing Ren, Kefan Yang, Nguyen Linh Dan Le, Jingjing Zhou, Xikun Zhang, Ziqi Xu, Xiangjie Kong, Xiaodong Li, Feng Xia

    Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, KDD 2026, Jeju Island, Korea, August 9-13, 2026, pp. 11902–11911, 2026

48. ExODRec: An Explainable Framework for Outlier Detection Model Recommendation [DOI] [Paper]

    Saba Fathi Rabooki, Ziqi Xu, Elham Naghizade

    Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026, pp. 3705–3709, 2026

49. Mitigating Bias in Large Language Model Based Question Answering through Causal Front Door Prompting [DOI] [Paper]

    Yaqi Yang, Ziqi Xu^*, Jie Li, Chenglong Ma, Jeffrey Chan, Mark Sanderson, Xin Zheng, Yongli Ren

    Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026, pp. 2208–2218, 2026

50. Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models [DOI] [Paper]

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

    Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026, pp. 1937–1947, 2026

51. Dual-Diffusion Service Recommendation with External Knowledge Graphs [DOI] [Paper]

    Junxiang Zhang, Yanting Li, Lianqi Huang, Shuo Yu, Xinshu Li, Ziqi Xu, Feng Xia

    IEEE International Conference on Web Services, ICWS 2026, Sydney, Australia, July 13-18, 2026, pp. 258–268, 2026

52. Energy-Efficient Training-Free Zero-Inflation Correction for Rainfall Forecasting with Time-Series Foundation Models [DOI] [Paper]

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

    Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026, pp. 8840–8850, 2026

53. FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks [DOI] [Paper]

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

    Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026, pp. 4541–4552, 2026

54. FairGU: Fairness-aware Graph Unlearning in Social Networks [DOI] [Paper]

    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, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026, pp. 9442–9451, 2026

55. Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems [DOI] [Paper]

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

    Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026, pp. 4093–4104, 2026

56. MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation [DOI] [Paper]

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

    Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026, pp. 6481–6492, 2026

57. Spiking Graph Predictive Coding for Reliable OOD Generalization [DOI] [Paper]

    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, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026, pp. 9056–9067, 2026

58. STELA: Spatiotemporal Forecasting via Graph Learning and Entropy-Guided LLM Adaptation [DOI] [Paper]

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

    Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026, pp. 1433–1444, 2026

59. When to Invoke: Refining LLM Fairness with Toxicity Assessment [DOI] [Paper]

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

    Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026, pp. 9275–9285, 2026

60. When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation [DOI] [Paper]

    Jing Ren, Bowen Li, Ziqi Xu^*, Xikun Zhang, Haytham M. Fayek, Xiaodong Li

    Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026, pp. 3859–3869, 2026

61. Prototype-Enhanced Multi-View Learning for Thyroid Nodule Ultrasound Classification [DOI] [Paper]

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

    International Wireless Communications and Mobile Computing, IWCMC 2026, Wuzhou, China, June 1-6, 2026, pp. 238–243, 2026

62. Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought [DOI] [Paper]

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

    Findings of the Association for Computational Linguistics: EACL 2026, Rabat, Morocco, March 24-29, 2026, pp. 4481–4499, 2026

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

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

    Proceedings of the 2026 Australasian Information Security Conference, AISC 2026, Melbourne, VIC, Australia, February 11-12, 2026, pp. 86–91, 2026

64. Deep Extreme Transformer: Tackling Zero-Inflated Time Series for Precipitation Prediction [DOI] [Paper]

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

    Fortieth AAAI Conference on Artificial Intelligence, Thirty-Eighth Conference on Innovative Applications of Artificial Intelligence, Sixteenth Symposium on Educational Advances in Artificial Intelligence, AAAI 2026, Singapore, January 20-27, 2026, pp. 38478–38486, 2026

65. Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models [DOI] [Paper]

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

    Fortieth AAAI Conference on Artificial Intelligence, Thirty-Eighth Conference on Innovative Applications of Artificial Intelligence, Sixteenth Symposium on Educational Advances in Artificial Intelligence, AAAI 2026, Singapore, January 20-27, 2026, pp. 32555–32563, 2026

66. Synthetic Forgetting Without Access: A Few-Shot Zero-Glance Framework for Machine Unlearning [DOI] [Paper]

    Qipeng Song, Nan Yang, Ziqi Xu, Yue Li, Wei Shao, Feng Xia

    Fortieth AAAI Conference on Artificial Intelligence, Thirty-Eighth Conference on Innovative Applications of Artificial Intelligence, Sixteenth Symposium on Educational Advances in Artificial Intelligence, AAAI 2026, Singapore, January 20-27, 2026, pp. 25545–25553, 2026

67. XEvalAD: An Explainable Evaluation Framework for Anomaly Detection via Item Response Theory [DOI] [Paper]

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

    Databases Theory and Applications - 36th Australasian Database Conference, ADC 2025, Sydney, NSW, Australia and Bali, Indonesia, December 4-6, 2025, Proceedings, Vol. 16391, pp. 166–178, 2025

68. Predicting Graph Structure via Adapted Flux Balance Analysis [DOI] [Paper]

    Sevvandi Kandanaarachchi, Ziqi Xu, Stefan Westerlund, Conrad Sanderson

    AI 2025: Advances in Artificial Intelligence - 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, Canberra, ACT, Australia, December 1-5, 2025, Proceedings, Part I, Vol. 16370, pp. 351–363, 2025

69. Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework [DOI] [Paper]

    Brodie Oldfield, Ziqi Xu^*, Sevvandi Kandanaarachchi

    Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025, pp. 6498–6502, 2025

70. Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems [DOI] [Paper]

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

    Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025, pp. 5335–5339, 2025

71. Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment [DOI] [Paper]

    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, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025, pp. 4315–4325, 2025

72. FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction [DOI] [Paper]

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

    Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2025, The Graduate Hotel Minneapolis, Minneapolis, MN, USA, November 3-6, 2025, pp. 103–106, 2025

73. Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors [DOI] [Paper]

    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), ACL 2025, Vienna, Austria, July 27 - August 1, 2025, pp. 26301–26317, 2025

74. PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation [DOI] [Paper]

    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, SIGIR 2025, Padua, Italy, July 13-18, 2025, pp. 2690–2694, 2025

75. Telling Peer Direct Effects from Indirect Effects in Observational Network Data [Paper]

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

    Forty-second International Conference on Machine Learning, ICML 2025, Vancouver, BC, Canada, July 13-19, 2025, Vol. 267, 2025

76. Fairness Evaluation with Item Response Theory [DOI] [Paper]

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

    Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025, pp. 2276–2288, 2025

77. Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders [DOI] [Paper]

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

    Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025, pp. 413–424, 2025

78. Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory [DOI] [Paper]

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

    Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025, pp. 1455–1459, 2025

79. TSI: A Multi-view Representation Learning Approach for Time Series Forecasting [DOI] [Paper]

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

    AI 2024: Advances in Artificial Intelligence - 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024, Proceedings, Part I, Vol. 15442, pp. 291–302, 2024

80. Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder [Paper]

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

    The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024

81. Conditional Instrumental Variable Regression with Representation Learning for Causal Inference [Paper]

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

    The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024

82. Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders [DOI] [Paper]

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

    Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2024, February 20-27, 2024, Vancouver, Canada, pp. 11480–11488, 2024

83. Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference [DOI] [Paper]

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

    IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023, pp. 51–60, 2023

84. A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation [DOI] [Paper]

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

    Web Information Systems Engineering - WISE 2023 - 24th International Conference, Melbourne, VIC, Australia, October 25-27, 2023, Proceedings, Vol. 14306, pp. 723–732, 2023

85. Learning Conditional Instrumental Variable Representation for Causal Effect Estimation [DOI] [Paper]

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

    Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I, Vol. 14169, pp. 525–540, 2023

86. Disentangled Representation with Causal Constraints for Counterfactual Fairness [DOI] [Paper]

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

    Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part I, Vol. 13935, pp. 471–482, 2023

87. Causal Inference with Conditional Instruments Using Deep Generative Models [DOI] [Paper]

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

    Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, pp. 7122–7130, 2023

88. Disentangled Representation for Causal Mediation Analysis [DOI] [Paper]

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

    Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, pp. 10666–10674, 2023

89. Assessing Classifier Fairness with Collider Bias [DOI] [Paper]

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

    Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II, Vol. 13281, pp. 262–276, 2022

Journal

8. Causal Prompting for Implicit Sentiment Analysis With Large Language Models [DOI] [Paper]

   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., Vol. 13, No. 3, pp. 4131–4143, 2026

9. Fairness in Augmented Graph Learning: A Survey [DOI] [Paper]

   Renqiang Luo, Huafei Huang, Ziqi Xu, Xikun Zhang, Enyan Dai, Bo Yang, Feng Xia

   IEEE Trans. Knowl. Data Eng., Vol. 38, No. 10, pp. 6586–6603, 2026

10. Linking model intervention to causal interpretation in model explanation [DOI] [Paper]

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

    Pattern Recognit., Vol. 173, pp. 112814, 2026

11. An Item Response Theory-based R module for Algorithm Portfolio Analysis [DOI] [Paper]

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

    SoftwareX, Vol. 31, pp. 102239, 2025

12. Data-driven learning optimal K values for K-nearest neighbour matching in causal inference [DOI] [Paper]

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

    Data Min. Knowl. Discov., Vol. 39, No. 4, pp. 35, 2025

13. Deconfounding representation learning for mitigating latent confounding effects in recommendation [DOI] [Paper]

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

    Knowl. Inf. Syst., Vol. 67, No. 7, pp. 5999–6020, 2025

14. Disentangled Representation Learning for Causal Inference With Instruments [DOI] [Paper]

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

    IEEE Trans. Neural Networks Learn. Syst., Vol. 36, No. 8, pp. 14078–14091, 2025

15. Foundation Models for Anomaly Detection: Vision and Challenges [DOI] [Paper]

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

    AI Mag., Vol. 46, No. 4, 2025