Huixin Zhan - RankMe

42 papers A* 4A 3B 5C 1Journal 19Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Phase Grounding to Intelligent Surgical Narratives. CoRR Ethan Peterson, Huixin Zhan
2025	J	`jnl`	A disease-specific language model for variant pathogenicity in cardiac and regulatory genomics. Nat. Mac. Intell. Huixin Zhan, Jason H. Moore, Zijun Zhang
2025	—	`conf`	Agentic Surgical AI: Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion in a Vision-Language-Action Framework. Agentic AI/CREATE/Clinical MLLMs@MICCAI Huixin Zhan, Jason H. Moore
2025	J	`jnl`	Agentic Surgical AI: Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion in a Vision-Language-Action Framework. CoRR Huixin Zhan, Jason H. Moore
2025	J	`jnl`	Biosecurity-Aware AI: Agentic Risk Auditing of Soft Prompt Attacks on ESM-Based Variant Predictors. CoRR Huixin Zhan
2025	J	`jnl`	SafeGenes: Evaluating the Adversarial Robustness of Genomic Foundation Models. CoRR Huixin Zhan, Jason H. Moore
2024	J	`jnl`	DYNA: Disease-Specific Language Model for Variant Pathogenicity. CoRR Huixin Zhan, Zijun Zhang
2024	—	`conf`	Defense Against Adversarial Attacks for Neural Representations of Text. HICSS Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng
2024	J	`jnl`	Efficient and Scalable Fine-Tune of Language Models for Genome Understanding. CoRR Huixin Zhan, Ying Nian Wu, Zijun Zhang
2024	—	`conf`	Exploring Task-Specific Dimensions in Word Embeddings Through Automatic Rule Learning. ICANN (4) Liyuan Gao, Huixin Zhan, Victor S. Sheng
2024	J	`jnl`	Long-range gene expression prediction with token alignment of large language model. CoRR Edouardo Honig, Huixin Zhan, Ying Nian Wu, Zijun Frank Zhang
2024	B	`conf`	Privacy-Preserving Unsupervised Spherical Text Embeddings. IJCNN Huixin Zhan, Liyuan Gao, Victor S. Sheng
2024	A	`conf`	Robust Sparse Online Learning for Data Streams with Streaming Features. SDM Zhong Chen, Yi He, Di Wu, Huixin Zhan, Victor S. Sheng, Kun Zhang
2023	B	`conf`	Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. DSAA Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng
2023	B	`conf`	Group Lasso with Checkpoints Selection for Biological Data Regression. SMC Huixin Zhan, Yifan Wang
2023	A*	`conf`	Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). AAAI Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng
2023	J	`jnl`	Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). CoRR Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng
2023	J	`jnl`	Mitigate Gender Bias Using Negative Multi-task Learning. Neural Process. Lett. Liyuan Gao, Huixin Zhan, Victor S. Sheng
2023	A*	`conf`	Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes. AAAI Huixin Zhan, Victor S. Sheng
2023	J	`jnl`	Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes. CoRR Huixin Zhan, Victor S. Sheng
2023	J	`jnl`	ProPath: Disease-Specific Protein Language Model for Variant Pathogenicity. CoRR Huixin Zhan, Zijun Zhang
2023	A	`conf`	Simplex2vec Backward: From Vectors Back to Simplicial Complex. CIKM Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng
2023	A*	`conf`	Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract). AAAI Liyuan Gao, Huixin Zhan, Austin Chen, Victor S. Sheng
2022	—	`conf`	Anomaly Detection in Crowdsourced Work with Interval-Valued Labels. IPMU (1) Makenzie Spurling, Chenyi Hu, Huixin Zhan, Victor S. Sheng
2022	—	`conf`	New Threats to Privacy-preserving Text Representations. HICSS Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
2022	A*	`conf`	Projection Dual Averaging Based Second-order Online Learning. ICDM Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang
2022	B	`conf`	Proximal Cost-sensitive Sparse Group Online Learning. IEEE Big Data Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang
2022	—	`conf`	Towards Explainable Summary of Crowdsourced Reviews Through Text Mining. IPMU (1) Aaron Moody, Chenyi Hu, Huixin Zhan, Makenzie Spurling, Victor S. Sheng
2021	—	`conf`	Abstractive Text Summarization via Stacked LSTM CSCI Ireddy Siddhartha, Huixin Zhan, Victor S. Sheng
2021	—	`conf`	Deep Model Compression via Two-Stage Deep Reinforcement Learning. ECML/PKDD (1) Huixin Zhan, Wei-Ming Lin, Yongcan Cao
2021	J	`jnl`	Efficient Multi-objective Reinforcement Learning via Multiple-gradient Descent with Iteratively Discovered Weight-Vector Sets. J. Artif. Intell. Res. Yongcan Cao, Huixin Zhan
2021	—	`conf`	Estimating crowd-worker's reliability with interval-valued labels to improve the quality of crowdsourced work. SSCI Makenzie Spurling, Chenyi Hu, Huixin Zhan, Victor S. Sheng
2021	—	`conf`	Gated Graph Neural Networks (GG-NNs) for Abstractive Multi-Comment Summarization. ICBK Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
2021	B	`conf`	HGATs: hierarchical graph attention networks for multiple comments integration. ASONAM Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
2021	J	`jnl`	Human-Guided Robot Behavior Learning: A GAN-Assisted Preference-Based Reinforcement Learning Approach. IEEE Robotics Autom. Lett. Huixin Zhan, Feng Tao, Yongcan Cao
2021	C	`conf`	K ACML Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
2021	A	`conf`	Multi-objective Privacy-preserving Text Representation Learning. CIKM Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
2021	J	`jnl`	Reinforcement learning-based register renaming policy for simultaneous multithreading CPUs. Expert Syst. Appl. Huixin Zhan, Victor S. Sheng, Wei-Ming Lin
2020	J	`jnl`	Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach. CoRR Huixin Zhan, Feng Tao, Yongcan Cao
2019	J	`jnl`	Deep Model Compression via Deep Reinforcement Learning. CoRR Huixin Zhan, Yongcan Cao
2019	J	`jnl`	Relationship Explainable Multi-objective Optimization Via Vector Value Function Based Reinforcement Learning. CoRR Huixin Zhan, Yongcan Cao
2019	J	`jnl`	Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation. CoRR Huixin Zhan, Yongcan Cao