Haoyang Zeng

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Do Models See in Line with Human Vision? Probing the Correspondence Between LVLM Representations and EEG Signals.
CoRR, March, 2026

ReasonTabQA: A Comprehensive Benchmark for Table Question Answering from Real World Industrial Scenarios.
CoRR, January, 2026

CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented Generation.
Proceedings of the ACM Web Conference 2026, 2026

MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosis.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
LGNet: A Symmetric Dual-Branch Lightweight Model for Remote Sensing Scene Classification Based on Lie Group Feature Extraction and Cross-Attention Mechanism.
Symmetry, 2025

6G FR3 Band-limited Based DPD using Low-Resolution Σ∆ Feedback Receiver.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2024
Anomaly detection for key performance indicators by fusing self-supervised spatio-temporal graph attention networks.
Knowl. Based Syst., 2024

Named Entity Recognition Model Based on the Fusion of Word Vectors and Category Vectors.
IEEE Access, 2024

LSTD-MTS: Anomaly Detection with Capturing Long-Term Spatio-Temporal Dependence for Multi-dimensional Time Series.
Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

2022
Cloud-Edge Collaborative Task Scheduling Mechanism Based on Improved Parameter Adaptation Particle Swarm Optimization Algorithm.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

2021
Machine learning optimization of peptides for presentation by class II MHCs.
Bioinform., 2021

2020
Antibody complementarity determining region design using high-capacity machine learning.
Bioinform., 2020

2019
Machine learning models for functional genomics and therapeutic design.
PhD thesis, 2019

Visualizing complex feature interactions and feature sharing in genomic deep neural networks.
BMC Bioinform., 2019

DeepLigand: accurate prediction of MHC class I ligands using peptide embedding.
Bioinform., 2019

2018
Training GANs with Optimism.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
K-mer Set Memory (KSM) Motif Representation Enables Accurate Prediction of the Impact of Regulatory Variants.
Proceedings of the Research in Computational Molecular Biology, 2017

2016
GERV: a statistical method for generative evaluation of regulatory variants for transcription factor binding.
Bioinform., 2016

Convolutional neural network architectures for predicting DNA-protein binding.
Bioinform., 2016


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