Zicheng Liu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 35

Top Topics

Vector Quantization

Directed Acyclic

Protein Interaction

Graph Structure

Top Venues

Publications

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) (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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)
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)
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 (2024)
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)
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 (2024)
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 (2024)
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 (2024)
Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. CoRR (2024)
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 (2024)
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)
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 (2023)
Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias. CoRR (2023)
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 (2023)
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)
Zicheng Liu, Siyuan Li, Ge Wang, Lirong Wu, Cheng Tan, Stan Z. Li
Harnessing Hard Mixed Samples with Decoupled Regularizer. NeurIPS (2023)
Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li
Are Gradients on Graph Structure Reliable in Gray-box Attacks? CoRR (2022)
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)
Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Stan Z. Li
OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning. CoRR (2022)
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 (2022)
Lirong Wu, Yufei Huang, Haitao Lin, Zicheng Liu, Tianyu Fan, Stan Z. Li
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation. CoRR (2022)
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)
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)
Zicheng Liu, Siyuan Li, Ge Wang, Cheng Tan, Lirong Wu, Stan Z. Li
Decoupled Mixup for Data-efficient Learning. CoRR (2022)
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)
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 (2022)
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 (2022)
Siyuan Li, Zicheng Liu, Di Wu, Zihan Liu, Stan Z. Li
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup. CoRR (2021)
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 (2021)
Zicheng Liu, Siyuan Li, Di Wu, Zhiyuan Chen, Lirong Wu, Jianzhu Guo, Stan Z. Li
AutoMix: Unveiling the Power of Mixup. CoRR (2021)
Lirong Wu, Zicheng Liu, Zelin Zang, Jun Xia, Siyuan Li, Stan Z. Li
Deep Clustering and Representation Learning that Preserves Geometric Structures. CoRR (2020)