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2020 – today
- 2024
[c22]Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng:
Defense Against Adversarial Attacks for Neural Representations of Text. HICSS 2024: 7592-7601- [c21]Liyuan Gao, Huixin Zhan, Victor S. Sheng:
Exploring Task-Specific Dimensions in Word Embeddings Through Automatic Rule Learning. ICANN (4) 2024: 199-214 - [c20]Huixin Zhan, Liyuan Gao, Victor S. Sheng:
Privacy-Preserving Unsupervised Spherical Text Embeddings. IJCNN 2024: 1-8 - [c19]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: 181-189 - [i9]Huixin Zhan, Ying Nian Wu, Zijun Zhang:
Efficient and Scalable Fine-Tune of Language Models for Genome Understanding. CoRR abs/2402.08075 (2024) - [i8]Huixin Zhan, Zijun Zhang:
DYNA: Disease-Specific Language Model for Variant Pathogenicity. CoRR abs/2406.00164 (2024) - 2023
- [j4]Liyuan Gao, Huixin Zhan, Victor S. Sheng:
Mitigate Gender Bias Using Negative Multi-task Learning. Neural Process. Lett. 55(8): 11131-11146 (2023) - [c18]Huixin Zhan, Victor S. Sheng:
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes. AAAI 2023: 16143-16144 - [c17]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: 16214-16215 - [c16]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: 16380-16381 - [c15]Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng:
Simplex2vec Backward: From Vectors Back to Simplicial Complex. CIKM 2023: 4405-4409 - [c14]Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng:
Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. DSAA 2023: 1-9 - [c13]Huixin Zhan, Yifan Wang:
Group Lasso with Checkpoints Selection for Biological Data Regression. SMC 2023: 1792-1797 - [i7]Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng:
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). CoRR abs/2302.04373 (2023) - [i6]Huixin Zhan, Victor S. Sheng:
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes. CoRR abs/2302.04383 (2023) - [i5]Huixin Zhan, Zijun Zhang:
ProPath: Disease-Specific Protein Language Model for Variant Pathogenicity. CoRR abs/2311.03429 (2023) - 2022
- [c12]Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang:
Proximal Cost-sensitive Sparse Group Online Learning. IEEE Big Data 2022: 495-504 - [c11]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
New Threats to Privacy-preserving Text Representations. HICSS 2022: 1-10 - [c10]Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang:
Projection Dual Averaging Based Second-order Online Learning. ICDM 2022: 51-60 - [c9]Makenzie Spurling, Chenyi Hu, Huixin Zhan, Victor S. Sheng:
Anomaly Detection in Crowdsourced Work with Interval-Valued Labels. IPMU (1) 2022: 504-516 - [c8]Aaron Moody, Chenyi Hu, Huixin Zhan, Makenzie Spurling, Victor S. Sheng:
Towards Explainable Summary of Crowdsourced Reviews Through Text Mining. IPMU (1) 2022: 528-541 - 2021
- [j3]Huixin Zhan, Victor S. Sheng, Wei-Ming Lin:
Reinforcement learning-based register renaming policy for simultaneous multithreading CPUs. Expert Syst. Appl. 186: 115717 (2021) - [j2]Yongcan Cao, Huixin Zhan:
Efficient Multi-objective Reinforcement Learning via Multiple-gradient Descent with Iteratively Discovered Weight-Vector Sets. J. Artif. Intell. Res. 70: 319-349 (2021) - [j1]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): 3545-3552 (2021) - [c7]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
K2-GNN: Multiple Users' Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks. ACML 2021: 1477-1492 - [c6]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
HGATs: hierarchical graph attention networks for multiple comments integration. ASONAM 2021: 159-163 - [c5]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
Multi-objective Privacy-preserving Text Representation Learning. CIKM 2021: 3612-3616 - [c4]Ireddy Siddhartha, Huixin Zhan, Victor S. Sheng:
Abstractive Text Summarization via Stacked LSTM*. CSCI 2021: 437-442 - [c3]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
Gated Graph Neural Networks (GG-NNs) for Abstractive Multi-Comment Summarization. ICBK 2021: 323-330 - [c2]Huixin Zhan, Wei-Ming Lin, Yongcan Cao:
Deep Model Compression via Two-Stage Deep Reinforcement Learning. ECML/PKDD (1) 2021: 238-254 - [c1]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: 1-8 - 2020
- [i4]Huixin Zhan, Feng Tao, Yongcan Cao:
Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach. CoRR abs/2010.07467 (2020)
2010 – 2019
- 2019
- [i3]Huixin Zhan, Yongcan Cao:
Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation. CoRR abs/1909.12268 (2019) - [i2]Huixin Zhan, Yongcan Cao:
Relationship Explainable Multi-objective Optimization Via Vector Value Function Based Reinforcement Learning. CoRR abs/1910.01919 (2019) - [i1]Huixin Zhan, Yongcan Cao:
Deep Model Compression via Deep Reinforcement Learning. CoRR abs/1912.02254 (2019)
Coauthor Index
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last updated on 2024-09-30 21:55 CEST by the dblp team
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