Huixin Zhan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 33

Top Topics

Confidence Weighted

Reinforcement Learning

Top Venues

Publications

Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng
Defense Against Adversarial Attacks for Neural Representations of Text. HICSS (2024)
Zhong Chen, Yi He, Di Wu, Huixin Zhan, Victor S. Sheng, Kun Zhang
Robust Sparse Online Learning for Data Streams with Streaming Features. SDM (2024)
Huixin Zhan, Zijun Zhang
DYNA: Disease-Specific Language Model for Variant Pathogenicity. CoRR (2024)
Huixin Zhan, Ying Nian Wu, Zijun Zhang
Efficient and Scalable Fine-Tune of Language Models for Genome Understanding. CoRR (2024)
Huixin Zhan, Yifan Wang
Group Lasso with Checkpoints Selection for Biological Data Regression. SMC (2023)
Liyuan Gao, Huixin Zhan, Victor S. Sheng
Mitigate Gender Bias Using Negative Multi-task Learning. Neural Process. Lett. 55 (8) (2023)
Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). CoRR (2023)
Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng
Simplex2vec Backward: From Vectors Back to Simplicial Complex. CIKM (2023)
Liyuan Gao, Huixin Zhan, Austin Chen, Victor S. Sheng
Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract). AAAI (2023)
Huixin Zhan, Victor S. Sheng
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes. CoRR (2023)
Huixin Zhan, Victor S. Sheng
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes. AAAI (2023)
Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng
Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. DSAA (2023)
Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). AAAI (2023)
Huixin Zhan, Zijun Zhang
ProPath: Disease-Specific Protein Language Model for Variant Pathogenicity. CoRR (2023)
Aaron Moody, Chenyi Hu, Huixin Zhan, Makenzie Spurling, Victor S. Sheng
Towards Explainable Summary of Crowdsourced Reviews Through Text Mining. IPMU (1) (2022)
Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang
Proximal Cost-sensitive Sparse Group Online Learning. Big Data (2022)
Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang
Projection Dual Averaging Based Second-order Online Learning. ICDM (2022)
Makenzie Spurling, Chenyi Hu, Huixin Zhan, Victor S. Sheng
Anomaly Detection in Crowdsourced Work with Interval-Valued Labels. IPMU (1) (2022)
Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
New Threats to Privacy-preserving Text Representations. HICSS (2022)
Huixin Zhan, Victor S. Sheng, Wei-Ming Lin
Reinforcement learning-based register renaming policy for simultaneous multithreading CPUs. Expert Syst. Appl. 186 (2021)
Makenzie Spurling, Chenyi Hu, Huixin Zhan, Victor S. Sheng
Estimating crowd-worker's reliability with interval-valued labels to improve the quality of crowdsourced work. SSCI (2021)
Ireddy Siddhartha, Huixin Zhan, Victor S. Sheng
. CSCI (2021)
Huixin Zhan, Feng Tao, Yongcan Cao
Human-Guided Robot Behavior Learning: A GAN-Assisted Preference-Based Reinforcement Learning Approach. IEEE Robotics Autom. Lett. 6 (2) (2021)
Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
HGATs: hierarchical graph attention networks for multiple comments integration. ASONAM (2021)
Yongcan Cao, Huixin Zhan
Efficient Multi-objective Reinforcement Learning via Multiple-gradient Descent with Iteratively Discovered Weight-Vector Sets. J. Artif. Intell. Res. 70 (2021)
Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
Gated Graph Neural Networks (GG-NNs) for Abstractive Multi-Comment Summarization. ICBK (2021)
Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
-GNN: Multiple Users' Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks. ACML (2021)
Huixin Zhan, Wei-Ming Lin, Yongcan Cao
Deep Model Compression via Two-Stage Deep Reinforcement Learning. ECML/PKDD (1) (2021)
Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
Multi-objective Privacy-preserving Text Representation Learning. CIKM (2021)
Huixin Zhan, Feng Tao, Yongcan Cao
Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach. CoRR (2020)
Huixin Zhan, Yongcan Cao
Relationship Explainable Multi-objective Optimization Via Vector Value Function Based Reinforcement Learning. CoRR (2019)
Huixin Zhan, Yongcan Cao
Deep Model Compression via Deep Reinforcement Learning. CoRR (2019)
Huixin Zhan, Yongcan Cao
Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation. CoRR (2019)