Haoxuan Li

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 92

Top Topics

Collaborative Filtering

Linked Open Data

Invariant Representation

Top Venues

Publications

Yingrong Wang, Haoxuan Li, Minqin Zhu, Anpeng Wu, Ruoxuan Xiong, Fei Wu, Kun Kuang
Causal Inference with Complex Treatments: A Survey. CoRR (2024)
Zhang Xiong, Haoxuan Li, Zhuang Liu, Zhuofan Chen, Hao Zhou, Wenge Rong, Yuanxin Ouyang
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects. CoRR (2024)
Jinqiu Jin, Haoxuan Li, Fuli Feng
On the Maximal Local Disparity of Fairness-Aware Classifiers. CoRR (2024)
Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui
Your Neighbor Matters: Towards Fair Decisions Under Networked Interference. KDD (2024)
Yingrong Wang, Anpeng Wu, Haoxuan Li, Weiming Liu, Qiaowei Miao, Ruoxuan Xiong, Fei Wu, Kun Kuang
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects. CoRR (2024)
Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. AAAI (2024)
Hao Wang, Zhichao Chen, Yuan Shen, Jiajun Fan, Zhaoran Liu, Degui Yang, Xinggao Liu, Haoxuan Li
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation. CoRR (2024)
Haoxuan Li, Xiangfeng Yang, Yaodong Ni
Pricing of shout option in uncertain financial market. Fuzzy Optim. Decis. Mak. 23 (3) (2024)
Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. CoRR (2024)
Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. CoRR (2024)
Hao Wang, Licheng Pan, Zhichao Chen, Degui Yang, Sen Zhang, Yifei Yang, Xinggao Liu, Haoxuan Li, Dacheng Tao
FreDF: Learning to Forecast in Frequency Domain. CoRR (2024)
Honglei Zhang, Haoxuan Li, Jundong Chen, Sen Cui, Kunda Yan, Abudukelimu Wuerkaixi, Xin Zhou, Zhiqi Shen, Yidong Li
Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation. CoRR (2024)
Anjie Liu, Jianhong Wang, Haoxuan Li, Xu Chen, Jun Wang, Samuel Kaski, Mengyue Yang
Attaining Human's Desirable Outcomes in Human-AI Interaction via Structural Causal Games. CoRR (2024)
Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou
Debiased Recommendation with Noisy Feedback. CoRR (2024)
Bo Pan, Jiaying Lu, Haoxuan Li, Weifeng Chen, Yiyao Wang, Minfeng Zhu, Chenhao Yu, Wei Chen
Differentiable Design Galleries: A Differentiable Approach to Explore the Design Space of Transfer Functions. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Haoxuan Li, Yuanxin Ouyang, Zhuang Liu, Wenge Rong, Zhang Xiong
Wasserstein Dependent Graph Attention Network for Collaborative Filtering with Uncertainty. CoRR (2024)
Honglei Zhang, He Liu, Haoxuan Li, Yidong Li
TransFR: Transferable Federated Recommendation with Pre-trained Language Models. CoRR (2024)
Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Eric H. Wang
Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow. CoRR (2024)
Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. ICLR (2024)
Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui
Debiased Collaborative Filtering with Kernel-Based Causal Balancing. CoRR (2024)
Honglei Zhang, Shuyi Wang, Haoxuan Li, Chunyuan Zheng, Xu Chen, Li Liu, Shanshan Luo, Peng Wu
Uncovering the Propensity Identification Problem in Debiased Recommendations. ICDE (2024)
Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui
Debiased Collaborative Filtering with Kernel-Based Causal Balancing. ICLR (2024)
Jun Wang, Haoxuan Li, Chi Zhang, Dongxu Liang, Enyun Yu, Wenwu Ou, Wenjia Wang
CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation. CoRR (2024)
Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou
Debiased Recommendation with Noisy Feedback. KDD (2024)
Haoxuan Li, Jifan Yu, Yuanxin Ouyang, Zhuang Liu, Wenge Rong, Juanzi Li, Zhang Xiong
Explainable Few-shot Knowledge Tracing. CoRR (2024)
Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. ICLR (2024)
Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. CoRR (2024)
Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. ICHI (2023)
Haoxuan Li, Xiangfeng Yang, Yaodong Ni
Uncertain yield-density regression model with application to parsnips. Int. J. Gen. Syst. 52 (7) (2023)
Zhuang Liu, Yunpu Ma, Haoxuan Li, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong
Debiased Contrastive Loss for Collaborative Filtering. KSEM (3) (2023)
Yuanfei Lin, Haoxuan Li, Matthias Althoff
Model Predictive Robustness of Signal Temporal Logic Predicates. IEEE Robotics Autom. Lett. 8 (12) (2023)
Yi Bin, Haoxuan Li, Yahui Xu, Xing Xu, Yang Yang, Heng Tao Shen
Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval. ACM Multimedia (2023)
Jun Wang, Haoxuan Li, Chi Zhang, Dongxu Liang, Enyun Yu, Wenwu Ou, Wenjia Wang
CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation. ICDM (2023)
Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
Optimal Transport for Treatment Effect Estimation. NeurIPS (2023)
Haoxuan Li, Xuehong Gao, Guozhong Huang
Analyzing the Severity of Freight Train Derailment Using Choquet Integral-Based Fuzzy Measure Weight Regression. CASE (2023)
Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui
Propensity Matters: Measuring and Enhancing Balancing for Recommendation. ICML (2023)
Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu
Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series. CoRR (2023)
Dave Zhenyu Chen, Haoxuan Li, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors. CoRR (2023)
Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He
Causal Recommendation: Progresses and Future Directions. SIGIR (2023)
Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations. WWW (2023)
Haoxuan Li, Yan Lyu, Chunyuan Zheng, Peng Wu
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations. ICLR (2023)
Shanshan Huang, Haoxuan Li, Qingsong Li, Chunyuan Zheng, Li Liu
Pareto Invariant Representation Learning for Multimedia Recommendation. ACM Multimedia (2023)
Jinqiu Jin, Haoxuan Li, Fuli Feng, Sihao Ding, Peng Wu, Xiangnan He
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach. NeurIPS (2023)
Yi Bin, Haoxuan Li, Yahui Xu, Xing Xu, Yang Yang, Heng Tao Shen
Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval. CoRR (2023)
Haoxuan Li, Chunyuan Zheng, Yixiao Cao, Zhi Geng, Yue Liu, Peng Wu
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion. ICML (2023)
Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie
ConvFormer: Revisiting Transformer for Sequential User Modeling. CoRR (2023)
Haoxuan Li, Chunyuan Zheng, Peng Wu
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random. ICLR (2023)
Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. CoRR (2023)
Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He, Peng Wu
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach. NeurIPS (2023)
Haoxuan Li, Yi Bin, Junrong Liao, Yang Yang, Heng Tao Shen
Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination. CoRR (2023)
Haoxuan Li, Yi Bin, Junrong Liao, Yang Yang, Heng Tao Shen
Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination. ACM Multimedia (2023)
Shanshan Huang, Haoxuan Li, Qingsong Li, Chunyuan Zheng, Li Liu
Pareto Invariant Representation Learning for Multimedia Recommendation. CoRR (2023)
Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations. CoRR (2023)
Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction. RecSys (2023)
Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui
Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation. KDD (2023)
Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction. CoRR (2023)
Zhuang Liu, Haoxuan Li, Guanming Chen, Yuanxin Ouyang, Wenge Rong, Zhang Xiong
PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering. CIKM (2023)
Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu
Multiple Robust Learning for Recommendation. AAAI (2023)
Hao Wang, Zhichao Chen, Jiajun Fan, Haoxuan Li, Tianqiao Liu, Weiming Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
Optimal Transport for Treatment Effect Estimation. CoRR (2023)
Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges. IJCAI (2022)
Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. CoRR (2022)
Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. KDD (2022)
Xiaoou Ding, Hongzhi Wang, Genglong Li, Haoxuan Li, Yingze Li, Yida Liu
IoT data cleaning techniques: A survey. Intell. Converged Networks 3 (4) (2022)
Zonghao Feng, Qipeng Xie, Qiong Luo, Yujie Chen, Haoxuan Li, Huizhong Li, Qiang Yan
Accelerating Elliptic Curve Digital Signature Algorithms on GPUs. SC (2022)
Yuanfei Lin, Haoxuan Li, Matthias Althoff
Model Predictive Robustness of Signal Temporal Logic Predicates. CoRR (2022)
Shangfeng Zeng, Haoxuan Li, Xiangfeng Yang
Uncertain Threshold Autoregressive Model via LASSO Procedure. J. Uncertain Syst. 15 (4) (2022)
Haoyu Tan, Guochang Liu, Haoxuan Li, Guojun Zhang, Jiangong Cui, Yuhua Yang, Changde He, Licheng Jia, Wendong Zhang, Renxin Wang
Research on Self-Noise Suppression of Marine Acoustic Sensor Arrays. Remote. Sens. 14 (24) (2022)
Run Wang, Haoxuan Li, Lingzhou Mu, Jixing Ren, Shangwei Guo, Li Liu, Liming Fang, Jing Chen, Lina Wang
Rethinking the Vulnerability of DNN Watermarking: Are Watermarks Robust against Naturalness-aware Perturbations? ACM Multimedia (2022)
Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou
Causal Analysis Framework for Recommendation. CoRR (2022)
Peng Wu, Haoxuan Li, Yan Lyu, Xiao-Hua Zhou
Doubly Robust Collaborative Targeted Learning for Recommendation on Data Missing Not at Random. CoRR (2022)
Haoxuan Li, Chunyuan Zheng, Xiao-Hua Zhou, Peng Wu
Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random. CoRR (2022)
Haoxuan Li, Daoxiong Gong, Jianjun Yu
Control of Robotic Joint Actuated by Antagonistic Pneumatic Artificial Muscles based on Model-free Reinforcement Learning. ROBIO (2021)
Haoxuan Li, Weihong Wu, Yingze Li
An integration system of AI cars detection with enclosed photogrammetry for indoor parking lot. CONF-CDS (2021)
Haoxuan Li, Daoxiong Gong, Jianjun Yu
An obstacles avoidance method for serial manipulator based on reinforcement learning and Artificial Potential Field. Int. J. Intell. Robotics Appl. 5 (2) (2021)
Haoxuan Li, Zheng Wang
Universal Sparse Adversarial Attack on Video Recognition Models. Int. J. Multim. Data Eng. Manag. 12 (3) (2021)
Xueyu Zhou, Guangyan Gan, Yanghao Xiao, Xiaolin Zhou, Haoxuan Li
Music Exploration Based on XGBoost Algorithm and Node2vec-BP Model. ICMLT (2021)
Haoran Gao, Haoxuan Li
Towards Superior R&D Input-Output Performance of Universities. ICDEL (2021)
Wanqing Peng, Haoxuan Li
Comparison of Pharmacokinetic Effects of Ibuprofen Based on Three Statistical Methods. BIC (2021)
Haoxuan Li, Bin Sheng, Ping Li, Riaz Ali, C. L. Philip Chen
Globally and Locally Semantic Colorization via Exemplar-Based Broad-GAN. IEEE Trans. Image Process. 30 (2021)
Haoxuan Li, Paul De Meulenaere, Ken Vanherpen, Siegfried Mercelis, Peter Hellinckx
A hybrid timing analysis method based on the isolation of software code block. Internet Things 11 (2020)
Haoxuan Li, Ken Vanherpen, Peter Hellinckx, Siegfried Mercelis, Paul De Meulenaere
Component-based Timing Analysis for Embedded Software Components in Cyber-Physical Systems. MECO (2020)
Thomas Huybrechts, Yorick De Bock, Haoxuan Li, Peter Hellinckx
COBRA-HPA: a block generating tool to perform hybrid program analysis. Int. J. Grid Util. Comput. 10 (2) (2019)
Haoxuan Li, Hui Huang, Shichong Tan, Ning Zhang, Xiaotong Fu, Xiaoling Tao
A new revocable reputation evaluation system based on blockchain. Int. J. High Perform. Comput. Netw. 14 (3) (2019)
Haoxuan Li, Paul De Meulenaere, Siegfried Mercelis, Peter Hellinckx
Impact of software architecture on execution time: a power window TACLeBench case study. Int. J. Grid Util. Comput. 10 (2) (2019)
JiaCheng Huang, Wei Hu, Haoxuan Li, Yuzhong Qu
Automated Comparative Table Generation for Facilitating Human Intervention in Multi-Entity Resolution. SIGIR (2018)
Haoxuan Li, Yiding Wang, Xiaochen Jiang
Dorsal Hand Vein Recognition Method Based on Multi-bit Planes Optimization. CCBR (2018)
Saisai Gong, Wei Hu, Haoxuan Li, Yuzhong Qu
Property Clustering in Linked Data: An Empirical Study and Its Application to Entity Browsing. Int. J. Semantic Web Inf. Syst. 14 (1) (2018)
Wei Hu, Haoxuan Li, Zequn Sun, Xinqi Qian, Lingkun Xue, Ermei Cao, Yuzhong Qu
Clinga: Bringing Chinese Physical and Human Geography in Linked Open Data. ISWC (2) (2016)
Haoxuan Li, Paul De Meulenaere, Peter Hellinckx
Powerwindow: a Multi-component TACLeBench Benchmark for Timing Analysis. 3PGCIC (2016)
Saisai Gong, Haoxuan Li, Wei Hu, Yuzhong Qu
An Empirical Study on Property Clustering in Linked Data. JIST (2016)
Thomas Huybrechts, Yorick De Bock, Haoxuan Li, Peter Hellinckx
Hybrid Approach on Cache Aware Real-Time Scheduling for Multi-Core Systems. 3PGCIC (2016)
Saisai Gong, Haoxuan Li, Wei Hu, Yuzhong Qu
An Empirical Study on Property Clustering in Linked Data. JIST (Workshops & Posters) (2016)
Vojkan Mihajlovic, Haoxuan Li, Bernard Grundlehner, Julien Penders, Alfred C. Schouten
Investigating the impact of force and movements on impedance magnitude and EEG. EMBC (2013)
Haoxuan Li, Darragh O'Brien, Ronan Scaife
Robust tracking of glottal LF-model parameters by multi-estimate fusion. EUSIPCO (2012)
Haoxuan Li, Ronan Scaife, Darragh O'Brien
Automatic LF-model fitting to the glottal source waveform by extended Kalman filtering. EUSIPCO (2012)