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ORCIDZicheng Liu 0006
Person information
- affiliation: Westlake University & Institute of Advanced Technology, AI Lab, Hangzhou, China
Other persons with the same name
- Zicheng Liu — disambiguation page
- Zicheng Liu 0001
![[0000-0001-5894-7828]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5894-7828")
— Microsoft Research, Redmond, WA, USA (and 2 more) - Zicheng Liu 0002 — UiT The Arctic University of Norway, Department of Physics and Technology, Tromsø, Norway (and 4 more)
- Zicheng Liu 0003 — Wuhan University, Institute of Artificial Intelligence, State Key Lab of LIESMARS, Wuhan, China
- Zicheng Liu 0004 — Macau University of Science and Technology, Institute of Systems Engineering, Collaborative Laboratory for Intelligent Science and Systems, Taipa, Macau (and 1 more)
- Zicheng Liu 0005 — Nanjing University, State Key Lab for Novel Software Technology, Nanjing, China
- Zicheng Liu 0007 — Huazhong University of Science and Technology, China-EU Institute for Clean and Renewable Energy, Wuhan, China (and 1 more)
- Zicheng Liu 0008 — Beihang University, School of Software, Beijing, China
- Zicheng Liu 0009 — Beijing Institute of Technology Chongqing Center for Microelectronics and Microsystems, China
- Zicheng Liu 0010 — Kunming University of Science and Technology, Faculty of Land Resource Engineering, China
- Zicheng Liu 0011 — Chinese University of Hong Kong, Department of Statistics, Hong Kong
- Zicheng Liu 0012 — Nankai University, College of Artificial Intelligence, Tianjin, China
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2020 – today
- 2024
[j2]Lirong Wu, Haitao Lin, Bozhen Hu, Cheng Tan, Zhangyang Gao, Zicheng Liu, Stan Z. Li:
Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8497-8509 (2024)- [j1]Lirong Wu, Haitao Lin, Zihan Liu, Zicheng Liu, Yufei Huang, Stan Z. Li:
Homophily-Enhanced Self-Supervision for Graph Structure Learning: Insights and Directions. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12358-12372 (2024) - [c14]Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li:
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. AAAI 2024: 310-319 - [c13]Cheng Tan, Yijie Zhang, Zhangyang Gao, Bozhen Hu, Siyuan Li, Zicheng Liu, Stan Z. Li:
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design. ICLR 2024 - [c12]Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li:
SemiReward: A General Reward Model for Semi-supervised Learning. ICLR 2024 - [c11]Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li:
MogaNet: Multi-order Gated Aggregation Network. ICLR 2024 - [c10]Zicheng Liu, Siyuan Li, Li Wang, Zedong Wang, Yunfan Liu, Stan Z. Li:
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences. ICML 2024 - [c9]Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li:
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. ICML 2024 - [c8]Haitao Lin, Odin Zhang, Huifeng Zhao, Dejun Jiang, Lirong Wu, Zicheng Liu, Yufei Huang, Stan Z. Li:
PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching. ICML 2024 - [c7]Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li:
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. IJCAI 2024: 4614-4622 - [i26]Siyuan Li, Luyuan Zhang, Zedong Wang, Di Wu, Lirong Wu, Zicheng Liu, Jun Xia, Cheng Tan, Yang Liu, Baigui Sun, Stan Z. Li:
Masked Modeling for Self-supervised Representation Learning on Vision and Beyond. CoRR abs/2401.00897 (2024) - [i25]Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li:
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. CoRR abs/2402.08198 (2024) - [i24]Siyuan Li, Zicheng Liu, Juanxi Tian, Ge Wang, Zedong Wang, Weiyang Jin, Di Wu, Cheng Tan, Tao Lin, Yang Liu, Baigui Sun, Stan Z. Li:
Switch EMA: A Free Lunch for Better Flatness and Sharpness. CoRR abs/2402.09240 (2024) - [i23]Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li:
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. CoRR abs/2404.11163 (2024) - [i22]Haitao Lin, Odin Zhang, Huifeng Zhao, Dejun Jiang, Lirong Wu, Zicheng Liu, Yufei Huang, Stan Z. Li:
PPFlow: Target-aware Peptide Design with Torsional Flow Matching. CoRR abs/2405.06642 (2024) - [i21]Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li:
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. CoRR abs/2405.10812 (2024) - [i20]Zicheng Liu, Jiahui Li, Siyuan Li, Zelin Zang, Cheng Tan, Yufei Huang, Yajing Bai, Stan Z. Li:
GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models. CoRR abs/2406.01627 (2024) - [i19]Cheng Tan, Dongxin Lyu, Siyuan Li, Zhangyang Gao, Jingxuan Wei, Siqi Ma, Zicheng Liu, Stan Z. Li:
Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions. CoRR abs/2406.05688 (2024) - [i18]Zicheng Liu, Siyuan Li, Li Wang, Zedong Wang, Yunfan Liu, Stan Z. Li:
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences. CoRR abs/2406.08128 (2024) - [i17]Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Zicheng Liu, Siyuan Li, Cheng Tan, Zhifeng Gao, Stan Z. Li:
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph. CoRR abs/2406.10840 (2024) - [i16]Xin Jin, Hongyu Zhu, Siyuan Li, Zedong Wang, Zicheng Liu, Chang Yu, Huafeng Qin, Stan Z. Li:
A Survey on Mixup Augmentations and Beyond. CoRR abs/2409.05202 (2024) - [i15]Siyuan Li, Juanxi Tian, Zedong Wang, Luyuan Zhang, Zicheng Liu, Weiyang Jin, Yang Liu, Baigui Sun, Stan Z. Li:
Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning. CoRR abs/2410.06373 (2024) - 2023
- [c6]Zicheng Liu, Siyuan Li, Ge Wang, Lirong Wu, Cheng Tan, Stan Z. Li:
Harnessing Hard Mixed Samples with Decoupled Regularizer. NeurIPS 2023 - [c5]Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li:
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. NeurIPS 2023 - [i14]Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li:
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias. CoRR abs/2304.00010 (2023) - [i13]Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li:
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. CoRR abs/2306.11249 (2023) - [i12]Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li:
SemiReward: A General Reward Model for Semi-supervised Learning. CoRR abs/2310.03013 (2023) - 2022
- [c4]Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li:
Are Gradients on Graph Structure Reliable in Gray-box Attacks? CIKM 2022: 1360-1368 - [c3]Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen, Lirong Wu, Stan Z. Li:
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers. ECCV (24) 2022: 441-458 - [c2]Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li:
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias. NeurIPS 2022 - [c1]Lirong Wu, Zicheng Liu, Jun Xia, Zelin Zang, Siyuan Li, Stan Z. Li:
Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation. WACV 2022: 1668-1676 - [i11]Zicheng Liu, Siyuan Li, Ge Wang, Cheng Tan, Lirong Wu, Stan Z. Li:
Decoupled Mixup for Data-efficient Learning. CoRR abs/2203.10761 (2022) - [i10]Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li:
Are Gradients on Graph Structure Reliable in Gray-box Attacks? CoRR abs/2208.05514 (2022) - [i9]Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Stan Z. Li:
OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning. CoRR abs/2209.04851 (2022) - [i8]Lirong Wu, Jun Xia, Haitao Lin, Zhangyang Gao, Zicheng Liu, Guojiang Zhao, Stan Z. Li:
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification. CoRR abs/2210.02097 (2022) - [i7]Lirong Wu, Yufei Huang, Haitao Lin, Zicheng Liu, Tianyu Fan, Stan Z. Li:
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation. CoRR abs/2210.02099 (2022) - [i6]Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li:
Efficient Multi-order Gated Aggregation Network. CoRR abs/2211.03295 (2022) - [i5]Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales:
Federated Learning for Inference at Anytime and Anywhere. CoRR abs/2212.04084 (2022) - 2021
- [i4]Zicheng Liu, Siyuan Li, Di Wu, Zhiyuan Chen, Lirong Wu, Jianzhu Guo, Stan Z. Li:
AutoMix: Unveiling the Power of Mixup. CoRR abs/2103.13027 (2021) - [i3]Yifeng Zhao, Zicheng Liu, Pei Zhang, Stan Z. Li, Sergio Andres Galindo-Torres:
An interpretable prediction model for longitudinal dispersion coefficient in natural streams based on evolutionary symbolic regression network. CoRR abs/2106.11026 (2021) - [i2]Siyuan Li, Zicheng Liu, Di Wu, Zihan Liu, Stan Z. Li:
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup. CoRR abs/2111.15454 (2021) - 2020
- [i1]Lirong Wu, Zicheng Liu, Zelin Zang, Jun Xia, Siyuan Li, Stan Z. Li:
Deep Clustering and Representation Learning that Preserves Geometric Structures. CoRR abs/2009.09590 (2020)
Coauthor Index
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