Haoxuan Li

According to our database, Haoxuan Li authored at least 91 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

An efficient uncertain chance constrained geometric programming model based on value-at-risk for truss structure optimization problems.

Jie Chen, Haoxuan Li, Xiangfeng Yang

J. Comput. Appl. Math., 2025

Uncertain Bass model with application to new energy vehicle sales forecasting.

Xiangfeng Yang, Ru Chen, Bai Yang, Haoxuan Li

Inf. Sci., 2025

2024

Pricing of shout option in uncertain financial market.

Haoxuan Li, Xiangfeng Yang, Yaodong Ni

Fuzzy Optim. Decis. Mak., September, 2024

Differentiable Design Galleries: A Differentiable Approach to Explore the Design Space of Transfer Functions.

Bo Pan, Jiaying Lu, Haoxuan Li, Weifeng Chen, Yiyao Wang, Minfeng Zhu, Chenhao Yu, Wei Chen

IEEE Trans. Vis. Comput. Graph., January, 2024

Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models.

Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long

CoRR, 2024

Proactive Recommendation in Social Networks: Steering User Interest via Neighbor Influence.

Hang Pan, Shuxian Bi, Wenjie Wang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He

CoRR, 2024

From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents.

Jifan Yu, Zheyuan Zhang, Daniel Zhang-li, Shangqing Tu, Zhanxin Hao, Rui Miao Li, Haoxuan Li, Yuanchun Wang, Hanming Li, Linlu Gong, Jie Cao, Jiayin Lin, Jinchang Zhou, Fei Qin, Haohua Wang, Jianxiao Jiang, Lijun Deng, Yisi Zhan, Chaojun Xiao, Xusheng Dai, Xuan Yan, Nianyi Lin, Nan Zhang, Ruixin Ni, Yang Dang, Lei Hou, Yu Zhang, Xu Han, Manli Li, Juanzi Li, Zhiyuan Liu, Huiqin Liu, Maosong Sun

CoRR, 2024

Causal Inference with Complex Treatments: A Survey.

Yingrong Wang, Haoxuan Li, Minqin Zhu, Anpeng Wu, Ruoxuan Xiong, Fei Wu, Kun Kuang

CoRR, 2024

Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation.

Hao Wang, Zhichao Chen, Yuan Shen, Jiajun Fan, Zhaoran Liu, Degui Yang, Xinggao Liu, Haoxuan Li

CoRR, 2024

Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow.

Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Eric H. Wang

CoRR, 2024

Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation.

Honglei Zhang, Haoxuan Li, Jundong Chen, Sen Cui, Kunda Yan, Abudukelimu Wuerkaixi, Xin Zhou, Zhiqi Shen, Yidong Li

CoRR, 2024

Attaining Human's Desirable Outcomes in Human-AI Interaction via Structural Causal Games.

Anjie Liu, Jianhong Wang, Haoxuan Li, Xu Chen, Jun Wang, Samuel Kaski, Mengyue Yang

CoRR, 2024

Explainable Few-shot Knowledge Tracing.

Haoxuan Li, Jifan Yu, Yuanxin Ouyang, Zhuang Liu, Wenge Rong, Juanzi Li, Zhang Xiong

CoRR, 2024

Wasserstein Dependent Graph Attention Network for Collaborative Filtering with Uncertainty.

Haoxuan Li, Yuanxin Ouyang, Zhuang Liu, Wenge Rong, Zhang Xiong

CoRR, 2024

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

Yingrong Wang, Anpeng Wu, Haoxuan Li, Weiming Liu, Qiaowei Miao, Ruoxuan Xiong, Fei Wu, Kun Kuang

CoRR, 2024

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

Zhang Xiong, Haoxuan Li, Zhuang Liu, Zhuofan Chen, Hao Zhou, Wenge Rong, Yuanxin Ouyang

CoRR, 2024

FreDF: Learning to Forecast in Frequency Domain.

Hao Wang, Licheng Pan, Zhichao Chen, Degui Yang, Sen Zhang, Yifei Yang, Xinggao Liu, Haoxuan Li, Dacheng Tao

CoRR, 2024

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

Honglei Zhang, He Liu, Haoxuan Li, Yidong Li

CoRR, 2024

MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models.

Haoxuan Li, Zhengmao Yang, Yunshan Ma, Yi Bin, Yang Yang, Tat-Seng Chua

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning.

Yi Bin, Junrong Liao, Yujuan Ding, Haoxuan Li, Yang Yang, See-Kiong Ng, Heng Tao Shen

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Debiased Recommendation with Noisy Feedback.

Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou

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

Your Neighbor Matters: Towards Fair Decisions Under Networked Interference.

Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui

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

Learning Causal Relations from Subsampled Time Series with Two Time-Slices.

Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering.

Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Hao Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias.

Baohong Li, Haoxuan Li, Ruoxuan Xiong, Anpeng Wu, Fei Wu, Kun Kuang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective.

Baohong Li, Haoxuan Li, Anpeng Wu, Minqin Zhu, Shiyuan Peng, Qingyu Cao, Kun Kuang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Maximal Local Disparity of Fairness-Aware Classifiers.

Jinqiu Jin, Haoxuan Li, Fuli Feng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation.

Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Debiased Collaborative Filtering with Kernel-Based Causal Balancing.

Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference.

Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Uncovering the Propensity Identification Problem in Debiased Recommendations.

Honglei Zhang, Shuyi Wang, Haoxuan Li, Chunyuan Zheng, Xu Chen, Li Liu, Shanshan Luo, Peng Wu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

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

Dave Zhenyu Chen, Haoxuan Li, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang

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

2023

Model Predictive Robustness of Signal Temporal Logic Predicates.

Yuanfei Lin, Haoxuan Li, Matthias Althoff

IEEE Robotics Autom. Lett., December, 2023

Uncertain yield-density regression model with application to parsnips.

Haoxuan Li, Xiangfeng Yang, Yaodong Ni

Int. J. Gen. Syst., October, 2023

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

Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu

CoRR, 2023

ConvFormer: Revisiting Transformer for Sequential User Modeling.

Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie

CoRR, 2023

Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations.

Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu

Proceedings of the ACM Web Conference 2023, 2023

Causal Recommendation: Progresses and Future Directions.

Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He

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.

Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Optimal Transport for Treatment Effect Estimation.

Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang

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.

Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He, Peng Wu

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.

Jinqiu Jin, Haoxuan Li, Fuli Feng, Sihao Ding, Peng Wu, Xiangnan He

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.

Haoxuan Li, Yi Bin, Junrong Liao, Yang Yang, Heng Tao Shen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Pareto Invariant Representation Learning for Multimedia Recommendation.

Shanshan Huang, Haoxuan Li, Qingsong Li, Chunyuan Zheng, Li Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval.

Yi Bin, Haoxuan Li, Yahui Xu, Xing Xu, Yang Yang, Heng Tao Shen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Debiased Contrastive Loss for Collaborative Filtering.

Zhuang Liu, Yunpu Ma, Haoxuan Li, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong

Proceedings of the Knowledge Science, Engineering and Management, 2023

Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation.

Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Trustworthy Policy Learning under the Counterfactual No-Harm Criterion.

Haoxuan Li, Chunyuan Zheng, Yixiao Cao, Zhi Geng, Yue Liu, Peng Wu

Proceedings of the International Conference on Machine Learning, 2023

Propensity Matters: Measuring and Enhancing Balancing for Recommendation.

Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui

Proceedings of the International Conference on Machine Learning, 2023

StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random.

Haoxuan Li, Chunyuan Zheng, Peng Wu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations.

Haoxuan Li, Yan Lyu, Chunyuan Zheng, Peng Wu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data.

Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation.

Jun Wang, Haoxuan Li, Chi Zhang, Dongxu Liang, Enyun Yu, Wenwu Ou, Wenjia Wang

Proceedings of the IEEE International Conference on Data Mining, 2023

PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering.

Zhuang Liu, Haoxuan Li, Guanming Chen, Yuanxin Ouyang, Wenge Rong, Zhang Xiong

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.

Haoxuan Li, Xuehong Gao, Guozhong Huang

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Multiple Robust Learning for Recommendation.

Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Research on Self-Noise Suppression of Marine Acoustic Sensor Arrays.

Haoyu Tan, Guochang Liu, Haoxuan Li, Guojun Zhang, Jiangong Cui, Yuhua Yang, Changde He, Licheng Jia, Wendong Zhang, Renxin Wang

Remote. Sens., December, 2022

Uncertain Threshold Autoregressive Model via LASSO Procedure.

Shangfeng Zeng, Haoxuan Li, Xiangfeng Yang

J. Uncertain Syst., December, 2022

IoT data cleaning techniques: A survey.

Xiaoou Ding, Hongzhi Wang, Genglong Li, Haoxuan Li, Yingze Li, Yida Liu

Intell. Converged Networks, 2022

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

Haoxuan Li, Chunyuan Zheng, Xiao-Hua Zhou, Peng Wu

CoRR, 2022

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

Peng Wu, Haoxuan Li, Yan Lyu, Xiao-Hua Zhou

CoRR, 2022

Causal Analysis Framework for Recommendation.

Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou

CoRR, 2022

Accelerating Elliptic Curve Digital Signature Algorithms on GPUs.

Zonghao Feng, Qipeng Xie, Qiong Luo, Yujie Chen, Haoxuan Li, Huizhong Li, Qiang Yan

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Rethinking the Vulnerability of DNN Watermarking: Are Watermarks Robust against Naturalness-aware Perturbations?

Run Wang, Haoxuan Li, Lingzhou Mu, Jixing Ren, Shangwei Guo, Li Liu, Liming Fang, Jing Chen, Lina Wang

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.

Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun

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.

Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Hybrid timing analysis based on a block-isolation technique

Haoxuan Li

PhD thesis, 2021

Globally and Locally Semantic Colorization via Exemplar-Based Broad-GAN.

Haoxuan Li, Bin Sheng, Ping Li, Riaz Ali, C. L. Philip Chen

IEEE Trans. Image Process., 2021

Universal Sparse Adversarial Attack on Video Recognition Models.

Haoxuan Li, Zheng Wang

Int. J. Multim. Data Eng. Manag., 2021

An obstacles avoidance method for serial manipulator based on reinforcement learning and Artificial Potential Field.

Haoxuan Li, Daoxiong Gong, Jianjun Yu

Int. J. Intell. Robotics Appl., 2021

Control of Robotic Joint Actuated by Antagonistic Pneumatic Artificial Muscles based on Model-free Reinforcement Learning.

Haoxuan Li, Daoxiong Gong, Jianjun Yu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

Music Exploration Based on XGBoost Algorithm and Node2vec-BP Model.

Xueyu Zhou, Guangyan Gan, Yanghao Xiao, Xiaolin Zhou, Haoxuan Li

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.

Haoran Gao, Haoxuan Li

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.

Haoxuan Li, Weihong Wu, Yingze Li

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.

Wanqing Peng, Haoxuan Li

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.

Haoxuan Li, Paul De Meulenaere, Ken Vanherpen, Siegfried Mercelis, Peter Hellinckx

Internet Things, 2020

Component-based Timing Analysis for Embedded Software Components in Cyber-Physical Systems.

Haoxuan Li, Ken Vanherpen, Peter Hellinckx, Siegfried Mercelis, Paul De Meulenaere

Proceedings of the 9th Mediterranean Conference on Embedded Computing, 2020

2019

A new revocable reputation evaluation system based on blockchain.

Haoxuan Li, Hui Huang, Shichong Tan, Ning Zhang, Xiaotong Fu, Xiaoling Tao

Int. J. High Perform. Comput. Netw., 2019

Impact of software architecture on execution time: a power window TACLeBench case study.

Haoxuan Li, Paul De Meulenaere, Siegfried Mercelis, Peter Hellinckx

Int. J. Grid Util. Comput., 2019

COBRA-HPA: a block generating tool to perform hybrid program analysis.

Thomas Huybrechts, Yorick De Bock, Haoxuan Li, Peter Hellinckx

Int. J. Grid Util. Comput., 2019

2018

Property Clustering in Linked Data: An Empirical Study and Its Application to Entity Browsing.

Saisai Gong, Wei Hu, Haoxuan Li, Yuzhong Qu

Int. J. Semantic Web Inf. Syst., 2018

Automated Comparative Table Generation for Facilitating Human Intervention in Multi-Entity Resolution.

Jiacheng Huang, Wei Hu, Haoxuan Li, Yuzhong Qu

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.

Haoxuan Li, Yiding Wang, Xiaochen Jiang

Proceedings of the Biometric Recognition - 13th Chinese Conference, 2018

2016

Clinga: Bringing Chinese Physical and Human Geography in Linked Open Data.

Wei Hu, Haoxuan Li, Zequn Sun, Xinqi Qian, Lingkun Xue, Ermei Cao, Yuzhong Qu

Proceedings of the Semantic Web - ISWC 2016, 2016

An Empirical Study on Property Clustering in Linked Data.

Saisai Gong, Haoxuan Li, Wei Hu, Yuzhong Qu

Proceedings of the Semantic Technology - 6th Joint International Conference, 2016

Powerwindow: a Multi-component TACLeBench Benchmark for Timing Analysis.

Haoxuan Li, Paul De Meulenaere, Peter Hellinckx

Proceedings of the Advances on P2P, 2016

Hybrid Approach on Cache Aware Real-Time Scheduling for Multi-Core Systems.

Thomas Huybrechts, Yorick De Bock, Haoxuan Li, Peter Hellinckx

Proceedings of the Advances on P2P, 2016

2013

Investigating the impact of force and movements on impedance magnitude and EEG.

Vojkan Mihajlovic, Haoxuan Li, Bernard Grundlehner, Julien Penders, Alfred C. Schouten

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.

Haoxuan Li, Ronan Scaife, Darragh O'Brien

Proceedings of the 20th European Signal Processing Conference, 2012

Robust tracking of glottal LF-model parameters by multi-estimate fusion.

Haoxuan Li, Darragh O'Brien, Ronan Scaife

Proceedings of the 20th European Signal Processing Conference, 2012