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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j16]Xiangfeng Yang, Ru Chen, Bai Yang, Haoxuan Li:
Uncertain Bass model with application to new energy vehicle sales forecasting. Inf. Sci. 689: 121450 (2025)- 2024
- [j15]Haoxuan Li, Xiangfeng Yang, Yaodong Ni:
Pricing of shout option in uncertain financial market. Fuzzy Optim. Decis. Mak. 23(3): 449-467 (2024) - [j14]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): 1369-1379 (2024) - [c55]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: 17175-17183 - [c54]Dave Zhenyu Chen, Haoxuan Li, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner:
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors. CVPR 2024: 21081-21091 - [c53]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: 653-666 - [c52]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 - [c51]Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui:
Debiased Collaborative Filtering with Kernel-Based Causal Balancing. ICLR 2024 - [c50]Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang:
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. ICLR 2024 - [c49]Jinqiu Jin, Haoxuan Li, Fuli Feng:
On the Maximal Local Disparity of Fairness-Aware Classifiers. ICML 2024 - [c48]Baohong Li, Haoxuan Li, Anpeng Wu, Minqin Zhu, Shiyuan Peng, Qingyu Cao, Kun Kuang:
A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective. ICML 2024 - [c47]Baohong Li, Haoxuan Li, Ruoxuan Xiong, Anpeng Wu, Fei Wu, Kun Kuang:
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias. ICML 2024 - [c46]Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Hao Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou:
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering. ICML 2024 - [c45]Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu:
Learning Causal Relations from Subsampled Time Series with Two Time-Slices. ICML 2024 - [c44]Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou:
Debiased Recommendation with Noisy Feedback. KDD 2024: 1576-1586 - [c43]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: 3829-3840 - [c42]Haoxuan Li, Zhengmao Yang, Yunshan Ma, Yi Bin, Yang Yang, Tat-Seng Chua:
MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models. ACM Multimedia 2024: 2776-2785 - [c41]Yi Bin, Junrong Liao, Yujuan Ding, Haoxuan Li, Yang Yang, See-Kiong Ng, Heng Tao Shen:
Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning. ACM Multimedia 2024: 4630-4639 - [i37]Honglei Zhang, He Liu, Haoxuan Li, Yidong Li:
TransFR: Transferable Federated Recommendation with Pre-trained Language Models. CoRR abs/2402.01124 (2024) - [i36]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 abs/2402.02399 (2024) - [i35]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 abs/2402.05740 (2024) - [i34]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 abs/2402.17236 (2024) - [i33]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 abs/2403.02624 (2024) - [i32]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 abs/2403.14232 (2024) - [i31]Haoxuan Li, Yuanxin Ouyang, Zhuang Liu, Wenge Rong, Zhang Xiong:
Wasserstein Dependent Graph Attention Network for Collaborative Filtering with Uncertainty. CoRR abs/2404.05962 (2024) - [i30]Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui:
Debiased Collaborative Filtering with Kernel-Based Causal Balancing. CoRR abs/2404.19596 (2024) - [i29]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 abs/2404.19620 (2024) - [i28]Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang:
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. CoRR abs/2404.19644 (2024) - [i27]Haoxuan Li, Jifan Yu, Yuanxin Ouyang, Zhuang Liu, Wenge Rong, Juanzi Li, Zhang Xiong:
Explainable Few-shot Knowledge Tracing. CoRR abs/2405.14391 (2024) - [i26]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 abs/2405.16588 (2024) - [i25]Jinqiu Jin, Haoxuan Li, Fuli Feng:
On the Maximal Local Disparity of Fairness-Aware Classifiers. CoRR abs/2406.03255 (2024) - [i24]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 abs/2406.03933 (2024) - [i23]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 abs/2406.15762 (2024) - [i22]Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou:
Debiased Recommendation with Noisy Feedback. CoRR abs/2406.17182 (2024) - [i21]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 abs/2407.01111 (2024) - [i20]Yingrong Wang, Haoxuan Li, Minqin Zhu, Anpeng Wu, Ruoxuan Xiong, Fei Wu, Kun Kuang:
Causal Inference with Complex Treatments: A Survey. CoRR abs/2407.14022 (2024) - [i19]Yi Bin, Junrong Liao, Yujuan Ding, Haoxuan Li, Yang Yang, See-Kiong Ng, Heng Tao Shen:
Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning. CoRR abs/2408.00305 (2024) - [i18]Haoxuan Li, Zhengmao Yang, Yunshan Ma, Yi Bin, Yang Yang, Tat-Seng Chua:
MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models. CoRR abs/2408.04388 (2024) - [i17]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:
From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents. CoRR abs/2409.03512 (2024) - [i16]Hang Pan, Shuxian Bi, Wenjie Wang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He:
Proactive Recommendation in Social Networks: Steering User Interest via Neighbor Influence. CoRR abs/2409.08934 (2024) - 2023
- [j13]Haoxuan Li, Xiangfeng Yang, Yaodong Ni:
Uncertain yield-density regression model with application to parsnips. Int. J. Gen. Syst. 52(7): 777-801 (2023) - [j12]Yuanfei Lin, Haoxuan Li, Matthias Althoff:
Model Predictive Robustness of Signal Temporal Logic Predicates. IEEE Robotics Autom. Lett. 8(12): 8050-8057 (2023) - [c40]Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu:
Multiple Robust Learning for Recommendation. AAAI 2023: 4417-4425 - [c39]Haoxuan Li, Xuehong Gao, Guozhong Huang:
Analyzing the Severity of Freight Train Derailment Using Choquet Integral-Based Fuzzy Measure Weight Regression. CASE 2023: 1-6 - [c38]Zhuang Liu, Haoxuan Li, Guanming Chen, Yuanxin Ouyang, Wenge Rong, Zhang Xiong:
PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering. CIKM 2023: 1482-1492 - [c37]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: 1355-1360 - [c36]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: 268-275 - [c35]Haoxuan Li, Yan Lyu, Chunyuan Zheng, Peng Wu:
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations. ICLR 2023 - [c34]Haoxuan Li, Chunyuan Zheng, Peng Wu:
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random. ICLR 2023 - [c33]Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui:
Propensity Matters: Measuring and Enhancing Balancing for Recommendation. ICML 2023: 20182-20194 - [c32]Haoxuan Li, Chunyuan Zheng, Yixiao Cao, Zhi Geng, Yue Liu, Peng Wu:
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion. ICML 2023: 20575-20598 - [c31]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: 1235-1247 - [c30]Zhuang Liu, Yunpu Ma, Haoxuan Li, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong:
Debiased Contrastive Loss for Collaborative Filtering. KSEM (3) 2023: 94-105 - [c29]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: 924-934 - [c28]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: 3041-3050 - [c27]Shanshan Huang, Haoxuan Li, Qingsong Li, Chunyuan Zheng, Li Liu:
Pareto Invariant Representation Learning for Multimedia Recommendation. ACM Multimedia 2023: 6410-6419 - [c26]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 - [c25]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 - [c24]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 - [c23]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: 682-687 - [c22]Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He:
Causal Recommendation: Progresses and Future Directions. SIGIR 2023: 3432-3435 - [c21]Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu:
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations. WWW 2023: 1305-1313 - [i15]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 abs/2303.10794 (2023) - [i14]Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu:
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations. CoRR abs/2304.09085 (2023) - [i13]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 abs/2308.02571 (2023) - [i12]Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie:
ConvFormer: Revisiting Transformer for Sequential User Modeling. CoRR abs/2308.02925 (2023) - [i11]Yi Bin, Haoxuan Li, Yahui Xu, Xing Xu, Yang Yang, Heng Tao Shen:
Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval. CoRR abs/2308.04343 (2023) - [i10]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 abs/2308.04380 (2023) - [i9]Shanshan Huang, Haoxuan Li, Qingsong Li, Chunyuan Zheng, Li Liu:
Pareto Invariant Representation Learning for Multimedia Recommendation. CoRR abs/2308.04706 (2023) - [i8]Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu:
Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series. CoRR abs/2308.08148 (2023) - [i7]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 abs/2310.18286 (2023) - [i6]Dave Zhenyu Chen, Haoxuan Li, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner:
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors. CoRR abs/2311.17261 (2023) - 2022
- [j11]Xiaoou Ding, Hongzhi Wang, Genglong Li, Haoxuan Li, Yingze Li, Yida Liu:
IoT data cleaning techniques: A survey. Intell. Converged Networks 3(4): 325-339 (2022) - [j10]Shangfeng Zeng, Haoxuan Li, Xiangfeng Yang:
Uncertain Threshold Autoregressive Model via LASSO Procedure. J. Uncertain Syst. 15(4): 2243006:1-2243006:15 (2022) - [j9]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): 6186 (2022) - [c20]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: 5646-5653 - [c19]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: 252-262 - [c18]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: 1808-1818 - [c17]Zonghao Feng, Qipeng Xie, Qiong Luo, Yujie Chen, Haoxuan Li, Huizhong Li, Qiang Yan:
Accelerating Elliptic Curve Digital Signature Algorithms on GPUs. SC 2022: 27:1-27:13 - [i5]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 abs/2201.06716 (2022) - [i4]Peng Wu, Haoxuan Li, Yan Lyu, Xiao-Hua Zhou:
Doubly Robust Collaborative Targeted Learning for Recommendation on Data Missing Not at Random. CoRR abs/2203.10258 (2022) - [i3]Haoxuan Li, Chunyuan Zheng, Xiao-Hua Zhou, Peng Wu:
Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random. CoRR abs/2205.04701 (2022) - [i2]Yuanfei Lin, Haoxuan Li, Matthias Althoff:
Model Predictive Robustness of Signal Temporal Logic Predicates. CoRR abs/2209.07881 (2022) - [i1]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 abs/2211.06684 (2022) - 2021
- [b1]Haoxuan Li:
Hybrid timing analysis based on a block-isolation technique. University of Antwerp, Belgium, 2021 - [j8]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): 186-202 (2021) - [j7]Haoxuan Li, Zheng Wang:
Universal Sparse Adversarial Attack on Video Recognition Models. Int. J. Multim. Data Eng. Manag. 12(3): 1-15 (2021) - [j6]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: 8526-8539 (2021) - [c16]Wanqing Peng, Haoxuan Li:
Comparison of Pharmacokinetic Effects of Ibuprofen Based on Three Statistical Methods. BIC 2021: 122-127 - [c15]Haoxuan Li, Weihong Wu, Yingze Li:
An integration system of AI cars detection with enclosed photogrammetry for indoor parking lot. CONF-CDS 2021: 163:1-163:6 - [c14]Haoran Gao, Haoxuan Li:
Towards Superior R&D Input-Output Performance of Universities. ICDEL 2021: 244-249 - [c13]Xueyu Zhou, Guangyan Gan, Yanghao Xiao, Xiaolin Zhou, Haoxuan Li:
Music Exploration Based on XGBoost Algorithm and Node2vec-BP Model. ICMLT 2021: 96-101 - [c12]Haoxuan Li, Daoxiong Gong, Jianjun Yu:
Control of Robotic Joint Actuated by Antagonistic Pneumatic Artificial Muscles based on Model-free Reinforcement Learning. ROBIO 2021: 887-892 - 2020
- [j5]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: 100230 (2020) - [c11]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: 1-8
2010 – 2019
- 2019
- [j4]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): 105-118 (2019) - [j3]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): 132-140 (2019) - [j2]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): 385-396 (2019) - 2018
- [j1]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): 31-70 (2018) - [c10]Haoxuan Li, Yiding Wang, Xiaochen Jiang:
Dorsal Hand Vein Recognition Method Based on Multi-bit Planes Optimization. CCBR 2018: 3-10 - [c9]Jiacheng Huang, Wei Hu, Haoxuan Li, Yuzhong Qu:
Automated Comparative Table Generation for Facilitating Human Intervention in Multi-Entity Resolution. SIGIR 2018: 585-594 - 2016
- [c8]Thomas Huybrechts, Yorick De Bock, Haoxuan Li, Peter Hellinckx:
Hybrid Approach on Cache Aware Real-Time Scheduling for Multi-Core Systems. 3PGCIC 2016: 759-768 - [c7]Haoxuan Li, Paul De Meulenaere, Peter Hellinckx:
Powerwindow: a Multi-component TACLeBench Benchmark for Timing Analysis. 3PGCIC 2016: 779-788 - [c6]Saisai Gong, Haoxuan Li, Wei Hu, Yuzhong Qu:
An Empirical Study on Property Clustering in Linked Data. JIST (Workshops & Posters) 2016: 66-69 - [c5]Saisai Gong, Haoxuan Li, Wei Hu, Yuzhong Qu:
An Empirical Study on Property Clustering in Linked Data. JIST 2016: 67-82 - [c4]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: 104-112 - 2013
- [c3]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: 1466-1469 - 2012
- [c2]Haoxuan Li, Ronan Scaife, Darragh O'Brien:
Automatic LF-model fitting to the glottal source waveform by extended Kalman filtering. EUSIPCO 2012: 2772-2776 - [c1]Haoxuan Li, Darragh O'Brien, Ronan Scaife:
Robust tracking of glottal LF-model parameters by multi-estimate fusion. EUSIPCO 2012: 2782-2786
Coauthor Index
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