Zhixuan Chu

Trans. Mach. Learn. Res., 2024

JailbreakLens: Interpreting Jailbreak Mechanism in the Lens of Representation and Circuit.

[BibT_eX]

[DOI]

CoRR, 2024

Explainable Behavior Cloning: Teaching Large Language Model Agents through Learning by Demonstration.

[BibT_eX]

[DOI]

CoRR, 2024

FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering.

[BibT_eX]

[DOI]

CoRR, 2024

Prompt-Consistency Image Generation (PCIG): A Unified Framework Integrating LLMs, Knowledge Graphs, and Controllable Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

DB-GPT-Hub: Towards Open Benchmarking Text-to-SQL Empowered by Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Real World Debiasing: A Fine-grained Analysis On Spurious Correlation.

[BibT_eX]

[DOI]

CoRR, 2024

Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Models.

[BibT_eX]

[DOI]

CoRR, 2024

Bridging Causal Discovery and Large Language Models: A Comprehensive Survey of Integrative Approaches and Future Directions.

[BibT_eX]

[DOI]

CoRR, 2024

GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention.

[BibT_eX]

[DOI]

CoRR, 2024

Professional Agents - Evolving Large Language Models into Autonomous Experts with Human-Level Competencies.

[BibT_eX]

[DOI]

CoRR, 2024

LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Invariant Graph Learning for Causal Effect Estimation.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Intelligent Agents with LLM-based Process Automation.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

EasyTPP: Towards Open Benchmarking Temporal Point Processes.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Event Sequence Modeling with Contrastive Relational Inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

VMFTransformer: An Angle-Preserving and Auto-Scaling Machine for Multi-Horizon Probabilistic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Causal Interventional Prediction System for Robust and Explainable Effect Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

A Causal Explainable Guardrails for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs.

[BibT_eX]

[DOI]

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

Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction.

[BibT_eX]

[DOI]

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

2023

Intelligent Virtual Assistants with LLM-based Process Automation.

[BibT_eX]

[DOI]

CoRR, 2023

Data-Centric Financial Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Prompt-augmented Temporal Point Process for Streaming Event Sequence.

[BibT_eX]

[DOI]

CoRR, 2023

Trustworthy Representation Learning Across Domains.

[BibT_eX]

[DOI]

CoRR, 2023

Leveraging Large Language Models for Pre-trained Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Recommender Systems with Large Language Model Reasoning Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Continual Learning in Predictive Autoscaling.

[BibT_eX]

[DOI]

CoRR, 2023

EasyTPP: Towards Open Benchmarking the Temporal Point Processes.

[BibT_eX]

[DOI]

CoRR, 2023

Causal Effect Estimation: Recent Advances, Challenges, and Opportunities.

[BibT_eX]

[DOI]

CoRR, 2023

Estimating Propensity Scores with Deep Adaptive Variable Selection.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Prompt-augmented Temporal Point Process for Streaming Event Sequence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Fair Attribute Completion on Graph with Missing Attributes.

[BibT_eX]

[DOI]

Dongliang Guo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Continual Causal Inference with Incremental Observational Data.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Continual Learning in Predictive Autoscaling.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Continual Treatment Effect Estimation: Challenges and Opportunities.

[BibT_eX]

[DOI]

Proceedings of the AAAI Bridge Program on Continual Causality, 2023

2022

Knowledge-Guided Article Embedding Refinement for Session-Based News Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data.

[BibT_eX]

[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Incorporating Casual Analysis into Diversified and Logical Response Generation.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Hierarchical Capsule Prediction Network for Marketing Campaigns Effect.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials.

[BibT_eX]

[DOI]

Proceedings of the Conference on Health, Inference, and Learning, 2022

2021

A Survey on Causal Inference.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Causal Inference Meets Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Matching in Selective and Balanced Representation Space for Treatment Effects Estimation.

[BibT_eX]

[DOI]