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ORCIDYiheng Zhu
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
- 2024
[j17]Yi-Heng Zhu, Zi Liu, Yan Liu
, Zhiwei Ji, Dong-Jun Yu:
ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein-DNA binding site prediction. Briefings Bioinform. 25(2) (2024)- [j16]Yunpeng Xia, Ying Zhang, Dian Liu, Yi-Heng Zhu, Zhikang Wang, Jiangning Song, Dong-Jun Yu:
BLAM6A-Merge: Leveraging Attention Mechanisms and Feature Fusion Strategies to Improve the Identification of RNA N6-Methyladenosine Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 21(6): 1803-1815 (2024) - [j15]Jiashun Wu, Yan Liu, Yiheng Zhu, Dong-Jun Yu:
Improving Antifreeze Proteins Prediction With Protein Language Models and Hybrid Feature Extraction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 21(6): 2349-2358 (2024) - [c13]Yuan Gao, Yiheng Zhu, Yuanbin Cao, Yinzhi Zhou, Zhen Wu, Yujie Chen, Shenglan Wu, Haoyuan Hu, Xinyu Dai:
Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question Answering. LREC/COLING 2024: 5350-5364 - [c12]Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Z. Chen, Jimeng Sun, Jian Wu, Jintai Chen:
Making Pre-trained Language Models Great on Tabular Prediction. ICLR 2024 - [i14]Yiheng Zhu, Zitai Kong, Jialu Wu, Weize Liu, Yuqiang Han, Mingze Yin, Hongxia Xu, Chang-Yu Hsieh, Tingjun Hou:
Generative AI for Controllable Protein Sequence Design: A Survey. CoRR abs/2402.10516 (2024) - [i13]Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Z. Chen, Jimeng Sun, Jian Wu, Jintai Chen:
Making Pre-trained Language Models Great on Tabular Prediction. CoRR abs/2403.01841 (2024) - [i12]Yuan Gao, Yiheng Zhu, Yuanbin Cao, Yinzhi Zhou, Zhen Wu, Yujie Chen, Shenglan Wu, Haoyuan Hu, Xinyu Dai:
Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question Answering. CoRR abs/2403.12393 (2024) - [i11]Mingze Yin, Hanjing Zhou, Yiheng Zhu, Miao Lin, Yixuan Wu, Jialu Wu, Hongxia Xu, Chang-Yu Hsieh, Tingjun Hou, Jintai Chen, Jian Wu:
Multi-Modal CLIP-Informed Protein Editing. CoRR abs/2407.19296 (2024) - [i10]Wei Wu, Chao Wang, Liyi Chen, Mingze Yin, Yiheng Zhu, Kun Fu, Jieping Ye, Hui Xiong, Zheng Wang:
Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding. CoRR abs/2410.03553 (2024) - [i9]Yiheng Zhu, Jialu Wu, Qiuyi Li, Jiahuan Yan, Mingze Yin, Wei Wu, Mingyang Li, Jieping Ye, Zheng Wang, Jian Wu:
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges. CoRR abs/2411.02120 (2024) - [i8]Mingze Yin, Hanjing Zhou, Jialu Wu, Yiheng Zhu, Yuxuan Zhan, Zitai Kong, Hongxia Xu, Chang-Yu Hsieh, Jintai Chen, Tingjun Hou, Jian Wu:
S2ALM: Sequence-Structure Pre-trained Large Language Model for Comprehensive Antibody Representation Learning. CoRR abs/2411.15215 (2024) - 2023
- [j14]Zi Liu, Yi-Heng Zhu, Long-Chen Shen, Xuan Xiao, Wangren Qiu, Dong-Jun Yu:
Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction. Comput. Biol. Medicine 166: 107529 (2023) - [j13]Taqiaden Alshameri, Heng Ding, Yude Dong, Yiheng Zhu, Jin Hui, Ahmed Maqram:
Multi-Objective Approach to Automated Fixture Synthesis Incorporating Deep Neural Network for Deformation Evaluation. Robotics Comput. Integr. Manuf. 84: 102579 (2023) - [c11]Shuhong Chen, Kevin Zhang, Yichun Shi, Heng Wang, Yiheng Zhu, Guoxian Song, Sizhe An, Janus Kristjansson, Xiao Yang, Matthias Zwicker:
PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters. CVPR 2023: 21068-21077 - [c10]Yiheng Zhu, Zhenqiu Ouyang, Ben Liao, Jialu Wu, Yixuan Wu, Chang-Yu Hsieh, Tingjun Hou, Jian Wu:
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation. IJCAI 2023: 5002-5010 - [c9]Yixuan Wu, Jintai Chen, Jiahuan Yan, Yiheng Zhu, Danny Z. Chen, Jian Wu:
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels. ACM Multimedia 2023: 463-471 - [c8]Yiheng Zhu, Jialu Wu, Chaowen Hu, Jiahuan Yan, Chang-Yu Hsieh, Tingjun Hou, Jian Wu:
Sample-efficient Multi-objective Molecular Optimization with GFlowNets. NeurIPS 2023 - [c7]Yiheng Zhu, Yang Zhan, Xuankun Huang, Yuwei Chen, Yujie Chen, Jiangwen Wei, Wei Feng, Yinzhi Zhou, Haoyuan Hu, Jieping Ye:
OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment. NeurIPS 2023 - [i7]Yiheng Zhu, Jialu Wu, Chaowen Hu, Jiahuan Yan, Chang-Yu Hsieh, Tingjun Hou, Jian Wu:
Sample-efficient Multi-objective Molecular Optimization with GFlowNets. CoRR abs/2302.04040 (2023) - [i6]Shuhong Chen, Kevin Zhang, Yichun Shi, Heng Wang, Yiheng Zhu, Guoxian Song, Sizhe An, Janus Kristjansson, Xiao Yang, Matthias Zwicker:
PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters. CoRR abs/2303.14587 (2023) - [i5]Yiheng Zhu, Zhenqiu Ouyang, Ben Liao, Jialu Wu, Yixuan Wu, Chang-Yu Hsieh, Tingjun Hou, Jian Wu:
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation. CoRR abs/2305.08457 (2023) - [i4]Yixuan Wu, Jintai Chen, Jiahuan Yan, Yiheng Zhu, Danny Z. Chen, Jian Wu:
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels. CoRR abs/2309.08888 (2023) - 2022
- [j12]Ke Han, Long-Chen Shen, Yi-Heng Zhu, Jian Xu, Jiangning Song, Dong-Jun Yu:
MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network. Briefings Bioinform. 23(1) (2022) - [j11]Yiheng Zhu, Zhenqiu Ouyang, Wenbo Chen, Ruiwei Feng, Danny Z. Chen, Ji Cao, Jian Wu:
TGSA: protein-protein association-based twin graph neural networks for drug response prediction with similarity augmentation. Bioinform. 38(2): 461-468 (2022) - [j10]Yi-Heng Zhu, Chengxin Zhang, Yan Liu, Gilbert S. Omenn, Peter L. Freddolino, Dong-Jun Yu, Yang Zhang:
TripletGO: Integrating Transcript Expression Profiles with Protein Homology Inferences for Gene Function Prediction. Genom. Proteom. Bioinform. 20(5): 1013-1027 (2022) - [j9]Yi-Heng Zhu, Chengxin Zhang, Dong-Jun Yu, Yang Zhang:
Integrating unsupervised language model with triplet neural networks for protein gene ontology prediction. PLoS Comput. Biol. 18(12): 1010793 (2022) - [j8]Tianlang Chen, Chen Fang, Xiaohui Shen, Yiheng Zhu, Zhili Chen, Jiebo Luo:
Anatomy-Aware 3D Human Pose Estimation With Bone-Based Pose Decomposition. IEEE Trans. Circuits Syst. Video Technol. 32(1): 198-209 (2022) - [c6]Haidong Zhu, Ye Yuan, Yiheng Zhu, Xiao Yang, Ram Nevatia:
OPEN: Order-preserving Pointcloud Encoder Decoder Network for Body Shape Refinement. ICPR 2022: 521-527 - [c5]Xiaoyu Xiang, Ding Liu, Xiao Yang, Yiheng Zhu, Xiaohui Shen, Jan P. Allebach:
Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis. WACV 2022: 944-954 - 2021
- [j7]Yi-Heng Zhu, Jun Hu, Fang Ge, Fuyi Li, Jiangning Song, Yang Zhang, Dong-Jun Yu:
Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features. Briefings Bioinform. 22(3) (2021) - [j6]Yan Liu, Yi-Heng Zhu, Xiaoning Song, Jiangning Song, Dong-Jun Yu:
Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation. Briefings Bioinform. 22(5) (2021) - [j5]Yan Liu, Ke Han, Yi-Heng Zhu, Ying Zhang, Long-Chen Shen, Jiangning Song, Dong-Jun Yu:
Improving protein fold recognition using triplet network and ensemble deep learning. Briefings Bioinform. 22(6) (2021) - [j4]Jun Hu, Liang Rao, Yi-Heng Zhu, Gui-Jun Zhang, Dong-Jun Yu:
TargetDBP+: Enhancing the Performance of Identifying DNA-Binding Proteins via Weighted Convolutional Features. J. Chem. Inf. Model. 61(1): 505-515 (2021) - [c4]Yujun Cai, Yiwei Wang, Yiheng Zhu, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Chuanxia Zheng, Sijie Yan, Henghui Ding, Xiaohui Shen, Ding Liu, Nadia Magnenat-Thalmann:
A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder∗. ICCV 2021: 11625-11635 - [i3]Xiaoyu Xiang, Ding Liu, Xiao Yang, Yiheng Zhu, Xiaohui Shen, Jan P. Allebach:
Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis. CoRR abs/2104.05703 (2021) - 2020
- [j3]Ming-Cai Chen, Yang Li, Yi-Heng Zhu, Fang Ge, Dong-Jun Yu:
SSCpred: Single-Sequence-Based Protein Contact Prediction Using Deep Fully Convolutional Network. J. Chem. Inf. Model. 60(6): 3295-3303 (2020) - [j2]Jun Hu, Xiaogen Zhou, Yi-Heng Zhu, Dong-Jun Yu, Gui-Jun Zhang:
TargetDBP: Accurate DNA-Binding Protein Prediction Via Sequence-Based Multi-View Feature Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1419-1429 (2020) - [c3]Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat-Thalmann:
Learning Progressive Joint Propagation for Human Motion Prediction. ECCV (7) 2020: 226-242 - [i2]Tianlang Chen, Chen Fang, Xiaohui Shen, Yiheng Zhu, Zhili Chen, Jiebo Luo:
Anatomy-aware 3D Human Pose Estimation in Videos. CoRR abs/2002.10322 (2020)
2010 – 2019
- 2019
- [j1]Yi-Heng Zhu, Jun Hu, Xiaoning Song, Dong-Jun Yu:
DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines. J. Chem. Inf. Model. 59(6): 3057-3071 (2019) - [c2]Xiao-Rong Bao, Yi-Heng Zhu, Dong-Jun Yu:
DeepTF: Accurate Prediction of Transcription Factor Binding Sites by Combining Multi-scale Convolution and Long Short-Term Memory Neural Network. IScIDE (2) 2019: 126-138 - [c1]Yiheng Zhu, Jonathan Rossiter, Helmut Hauser:
Learning in Growing Robots: Knowledge Transfer from Tadpole to Frog Robot. Living Machines 2019: 378-382 - 2018
- [i1]Yiheng Zhu, Yichen Yao, Zili Wu, Yujie Chen, Guozheng Li, Haoyuan Hu, Yinghui Xu:
GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming. CoRR abs/1812.07611 (2018)
Coauthor Index
aka: Dong-Jun Yu
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