Haoxuan Li

Orcid: 0000-0003-3620-3769

According to our database1, Haoxuan Li authored at least 66 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
Differentiable Design Galleries: A Differentiable Approach to Explore the Design Space of Transfer Functions.
IEEE Trans. Vis. Comput. Graph., January, 2024

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation.
CoRR, 2024

Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects.
CoRR, 2024

A Review of Data Mining in Personalized Education: Current Trends and Future Prospects.
CoRR, 2024

FreDF: Learning to Forecast in Frequency Domain.
CoRR, 2024

TransFR: Transferable Federated Recommendation with Pre-trained Language Models.
CoRR, 2024

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Model Predictive Robustness of Signal Temporal Logic Predicates.
IEEE Robotics Autom. Lett., December, 2023

Uncertain yield-density regression model with application to parsnips.
Int. J. Gen. Syst., October, 2023

SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors.
CoRR, 2023

Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series.
CoRR, 2023

ConvFormer: Revisiting Transformer for Sequential User Modeling.
CoRR, 2023

Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations.
Proceedings of the ACM Web Conference 2023, 2023

Causal Recommendation: Progresses and Future Directions.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Optimal Transport for Treatment Effect Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Pareto Invariant Representation Learning for Multimedia Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Debiased Contrastive Loss for Collaborative Filtering.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Trustworthy Policy Learning under the Counterfactual No-Harm Criterion.
Proceedings of the International Conference on Machine Learning, 2023

Propensity Matters: Measuring and Enhancing Balancing for Recommendation.
Proceedings of the International Conference on Machine Learning, 2023

StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2023

PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Analyzing the Severity of Freight Train Derailment Using Choquet Integral-Based Fuzzy Measure Weight Regression.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Multiple Robust Learning for Recommendation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Research on Self-Noise Suppression of Marine Acoustic Sensor Arrays.
Remote. Sens., December, 2022

Uncertain Threshold Autoregressive Model via LASSO Procedure.
J. Uncertain Syst., December, 2022

A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.
CoRR, 2022

Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random.
CoRR, 2022

Doubly Robust Collaborative Targeted Learning for Recommendation on Data Missing Not at Random.
CoRR, 2022

Causal Analysis Framework for Recommendation.
CoRR, 2022

Accelerating Elliptic Curve Digital Signature Algorithms on GPUs.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Rethinking the Vulnerability of DNN Watermarking: Are Watermarks Robust against Naturalness-aware Perturbations?
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Hybrid timing analysis based on a block-isolation technique
PhD thesis, 2021

Globally and Locally Semantic Colorization via Exemplar-Based Broad-GAN.
IEEE Trans. Image Process., 2021

Universal Sparse Adversarial Attack on Video Recognition Models.
Int. J. Multim. Data Eng. Manag., 2021

An obstacles avoidance method for serial manipulator based on reinforcement learning and Artificial Potential Field.
Int. J. Intell. Robotics Appl., 2021

Control of Robotic Joint Actuated by Antagonistic Pneumatic Artificial Muscles based on Model-free Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

Music Exploration Based on XGBoost Algorithm and Node2vec-BP Model.
Proceedings of the ICMLT 2021: 6th International Conference on Machine Learning Technologies, Jeju Island, Republic of Korea, April 23, 2021

Towards Superior R&D Input-Output Performance of Universities.
Proceedings of the ICDEL 2021: The 6th International Conference on Distance Education and Learning, Shanghai, China, May 21, 2021

An integration system of AI cars detection with enclosed photogrammetry for indoor parking lot.
Proceedings of the CONF-CDS 2021: The 2nd International Conference on Computing and Data Science, 2021

Comparison of Pharmacokinetic Effects of Ibuprofen Based on Three Statistical Methods.
Proceedings of the BIC 2021: International Conference on Bioinformatics and Intelligent Computing, 2021

2020
A hybrid timing analysis method based on the isolation of software code block.
Internet Things, 2020

Component-based Timing Analysis for Embedded Software Components in Cyber-Physical Systems.
Proceedings of the 9th Mediterranean Conference on Embedded Computing, 2020

2019
A new revocable reputation evaluation system based on blockchain.
Int. J. High Perform. Comput. Netw., 2019

Impact of software architecture on execution time: a power window TACLeBench case study.
Int. J. Grid Util. Comput., 2019

COBRA-HPA: a block generating tool to perform hybrid program analysis.
Int. J. Grid Util. Comput., 2019

2018
Property Clustering in Linked Data: An Empirical Study and Its Application to Entity Browsing.
Int. J. Semantic Web Inf. Syst., 2018

Automated Comparative Table Generation for Facilitating Human Intervention in Multi-Entity Resolution.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Dorsal Hand Vein Recognition Method Based on Multi-bit Planes Optimization.
Proceedings of the Biometric Recognition - 13th Chinese Conference, 2018

2016
Clinga: Bringing Chinese Physical and Human Geography in Linked Open Data.
Proceedings of the Semantic Web - ISWC 2016, 2016

An Empirical Study on Property Clustering in Linked Data.
Proceedings of the Semantic Technology - 6th Joint International Conference, 2016

Powerwindow: a Multi-component TACLeBench Benchmark for Timing Analysis.
Proceedings of the Advances on P2P, 2016

Hybrid Approach on Cache Aware Real-Time Scheduling for Multi-Core Systems.
Proceedings of the Advances on P2P, 2016

2013
Investigating the impact of force and movements on impedance magnitude and EEG.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Automatic LF-model fitting to the glottal source waveform by extended Kalman filtering.
Proceedings of the 20th European Signal Processing Conference, 2012

Robust tracking of glottal LF-model parameters by multi-estimate fusion.
Proceedings of the 20th European Signal Processing Conference, 2012


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