Deep Clustering and Representation Learning that Preserves Geometric Structures. - Lirong Wu; Zicheng Liu 006; Zelin Zang; Jun Xia 001; Siyuan Li 002; Stan Z. Li (CoRR, 2020)

AutoMix: Unveiling the Power of Mixup. - Zicheng Liu 006; Siyuan Li 002; Di Wu 057; Zhiyuan Chen 008; Lirong Wu; Jianzhu Guo; Stan Z. Li (CoRR, 2021)

An interpretable prediction model for longitudinal dispersion coefficient in natural streams based on evolutionary symbolic regression network. - Yifeng Zhao; Zicheng Liu 006; Pei Zhang; Stan Z. Li; Sergio Andres Galindo-Torres (CoRR, 2021)

Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup. - Siyuan Li 002; Zicheng Liu 006; Di Wu 057; Zihan Liu; Stan Z. Li (CoRR, 2021)

Are Gradients on Graph Structure Reliable in Gray-box Attacks? - Zihan Liu; Yun Luo; Lirong Wu; Siyuan Li 002; Zicheng Liu 006; Stan Z. Li (CIKM, 2022)

AutoMix: Unveiling the Power of Mixup for Stronger Classifiers. - Zicheng Liu 006; Siyuan Li 002; Di Wu 057; Zihan Liu; Zhiyuan Chen 008; Lirong Wu; Stan Z. Li (ECCV (24), 2022)

Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias. - Zihan Liu; Yun Luo; Lirong Wu; Zicheng Liu 006; Stan Z. Li (NeurIPS, 2022)

Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation. - Lirong Wu; Zicheng Liu 006; Jun Xia 001; Zelin Zang; Siyuan Li 002; Stan Z. Li (WACV, 2022)

Decoupled Mixup for Data-efficient Learning. - Zicheng Liu 006; Siyuan Li 002; Ge Wang; Cheng Tan 012; Lirong Wu; Stan Z. Li (CoRR, 2022)

OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning. - Siyuan Li 002; Zedong Wang; Zicheng Liu 006; Di Wu 057; Stan Z. Li (CoRR, 2022)

Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification. - Lirong Wu; Jun Xia 001; Haitao Lin; Zhangyang Gao; Zicheng Liu 006; Guojiang Zhao; Stan Z. Li (CoRR, 2022)

Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation. - Lirong Wu; Yufei Huang 002; Haitao Lin; Zicheng Liu 006; Tianyu Fan; Stan Z. Li (CoRR, 2022)

Efficient Multi-order Gated Aggregation Network. - Siyuan Li 002; Zedong Wang; Zicheng Liu 006; Cheng Tan 012; Haitao Lin; Di Wu 057; Zhiyuan Chen 008; Jiangbin Zheng 002; Stan Z. Li (CoRR, 2022)

Federated Learning for Inference at Anytime and Anywhere. - Zicheng Liu 006; Da Li 001; Javier Fernández-Marqués; Stefanos Laskaridis; Yan Gao 016; Lukasz Dudziak; Stan Z. Li; Shell Xu Hu; Timothy M. Hospedales (CoRR, 2022)

Harnessing Hard Mixed Samples with Decoupled Regularizer. - Zicheng Liu 006; Siyuan Li 002; Ge Wang; Lirong Wu; Cheng Tan 012; Stan Z. Li (NeurIPS, 2023)

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. - Cheng Tan 012; Siyuan Li 002; Zhangyang Gao; Wenfei Guan; Zedong Wang; Zicheng Liu 006; Lirong Wu; Stan Z. Li (NeurIPS, 2023)

PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. - Lirong Wu; Yufei Huang 002; Cheng Tan 012; Zhangyang Gao; Bozhen Hu; Haitao Lin; Zicheng Liu 006; Stan Z. Li (AAAI, 2024)

RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design. - Cheng Tan 012; Yijie Zhang; Zhangyang Gao; Bozhen Hu; Siyuan Li 002; Zicheng Liu 006; Stan Z. Li (ICLR, 2024)

SemiReward: A General Reward Model for Semi-supervised Learning. - Siyuan Li 002; Weiyang Jin; Zedong Wang; Fang Wu 002; Zicheng Liu 006; Cheng Tan 012; Stan Z. Li (ICLR, 2024)

MogaNet: Multi-order Gated Aggregation Network. - Siyuan Li 002; Zedong Wang; Zicheng Liu 006; Cheng Tan 012; Haitao Lin; Di Wu 057; Zhiyuan Chen 008; Jiangbin Zheng 002; Stan Z. Li (ICLR, 2024)

Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences. - Zicheng Liu 006; Siyuan Li 002; Li Wang; Zedong Wang; Yunfan Liu 002; Stan Z. Li (ICML, 2024)

VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. - Siyuan Li 002; Zedong Wang; Zicheng Liu 006; Di Wu 057; Cheng Tan 012; Jiangbin Zheng 002; Yufei Huang 002; Stan Z. Li (ICML, 2024)

PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching. - Haitao Lin; Odin Zhang; Huifeng Zhao; Dejun Jiang 002; Lirong Wu; Zicheng Liu 006; Yufei Huang 002; Stan Z. Li (ICML, 2024)

LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. - Zicheng Liu 006; Li Wang; Siyuan Li 002; Zedong Wang; Haitao Lin; Stan Z. Li (IJCAI, 2024)

Masked Modeling for Self-supervised Representation Learning on Vision and Beyond. - Siyuan Li 002; Luyuan Zhang; Zedong Wang; Di Wu 057; Lirong Wu; Zicheng Liu 006; Jun Xia 001; Cheng Tan 012; Yang Liu 356; Baigui Sun; Stan Z. Li (CoRR, 2024)

Switch EMA: A Free Lunch for Better Flatness and Sharpness. - Siyuan Li 002; Zicheng Liu 006; Juanxi Tian; Ge Wang; Zedong Wang; Weiyang Jin; Di Wu 057; Cheng Tan 012; Tao Lin; Yang Liu 356; Baigui Sun; Stan Z. Li (CoRR, 2024)

GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models. - Zicheng Liu 006; Jiahui Li; Siyuan Li 002; Zelin Zang; Cheng Tan 012; Yufei Huang 002; Yajing Bai; Stan Z. Li (CoRR, 2024)

Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions. - Cheng Tan 012; Dongxin Lyu; Siyuan Li 002; Zhangyang Gao; Jingxuan Wei; Siqi Ma; Zicheng Liu 006; Stan Z. Li (CoRR, 2024)

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph. - Haitao Lin; Guojiang Zhao; Odin Zhang; Yufei Huang 002; Lirong Wu; Zicheng Liu 006; Siyuan Li 002; Cheng Tan 012; Zhifeng Gao; Stan Z. Li (CoRR, 2024)

A Survey on Mixup Augmentations and Beyond. - Xin Jin; Hongyu Zhu; Siyuan Li 002; Zedong Wang; Zicheng Liu 006; Chang Yu 001; Huafeng Qin; Stan Z. Li (CoRR, 2024)

Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning. - Siyuan Li 002; Juanxi Tian; Zedong Wang; Luyuan Zhang; Zicheng Liu 006; Weiyang Jin; Yang Liu 356; Baigui Sun; Stan Z. Li (CoRR, 2024)

Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks. - Lirong Wu; Haitao Lin; Bozhen Hu; Cheng Tan 012; Zhangyang Gao; Zicheng Liu 006; Stan Z. Li (IEEE Trans. Neural Networks Learn. Syst., 2024)

Homophily-Enhanced Self-Supervision for Graph Structure Learning: Insights and Directions. - Lirong Wu; Haitao Lin; Zihan Liu; Zicheng Liu 006; Yufei Huang 002; Stan Z. Li (IEEE Trans. Neural Networks Learn. Syst., 2024)

Taming LLMs with Gradient Grouping. - Siyuan Li 002; Juanxi Tian; Zedong Wang; Xin Jin; Zicheng Liu 006; Wentao Zhang; Dan Xu (ACL (1), 2025)

DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing. - Yufei Huang 002; Bangyan Liao; Yuqi Hu; Haitao Lin; Lirong Wu; Siyuan Li 002; Cheng Tan 012; Zicheng Liu 006; Yunfan Liu 002; Zelin Zang; Chang Yu 001; Zhen Lei 001 (CVPR, 2025)

MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization. - Siyuan Li 002; Luyuan Zhang; Zedong Wang; Juanxi Tian; Cheng Tan 012; Zicheng Liu 006; Chang Yu 001; Qingsong Xie; Haonan Lu; Haoqian Wang; Zhen Lei 001 (CVPR, 2025)

EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow. - Yufei Huang 002; Yunshu Liu; Lirong Wu; Haitao Lin; Cheng Tan 012; Odin Zhang; Zhangyang Gao; Siyuan Li 002; Zicheng Liu 006; Yunfan Liu 002; Tailin Wu; Stan Z. Li (ICLR, 2025)

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph. - Haitao Lin; Guojiang Zhao; Odin Zhang; Yufei Huang 002; Lirong Wu; Cheng Tan 012; Zicheng Liu 006; Zhifeng Gao; Stan Z. Li (ICLR, 2025)

Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo. - Jun Xia 001; Sizhe Liu; Jingbo Zhou; Shaorong Chen; Hongxin Xiang; Zicheng Liu 006; Yue Liu 008; Stan Z. Li (ICLR, 2025)

GenURL: A General Framework for Unsupervised Representation Learning. - Siyuan Li 002; Zicheng Liu 006; Zelin Zang; Di Wu 057; Zhiyuan Chen 008; Stan Z. Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

Life-Code: Central Dogma Modeling with Multi-Omics Sequence Unification. - Zicheng Liu 006; Siyuan Li 002; Zhiyuan Chen 008; Lei Xin; Fang Wu 002; Chang Yu 001; Qirong Yang; Yucheng Guo; Yujie Yang; Stan Z. Li (CoRR, 2025)

An Extensive Survey With Empirical Studies on Deep Temporal Point Process. - Haitao Lin; Cheng Tan 012; Lirong Wu; Zicheng Liu 006; Zhangyang Gao; Stan Z. Li (IEEE Trans. Knowl. Data Eng., 2025)

Taming LLMs by Scaling Learning Rates with Gradient Grouping. - Siyuan Li 002; Juanxi Tian; Zedong Wang; Xin Jin; Zicheng Liu 006; Wentao Zhang; Dan Xu (CoRR, 2025)

TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling. - Qirong Yang; Yucheng Guo; Zicheng Liu 006; Yujie Yang; Qijin Yin; Siyuan Li 002; Shaomin Ji; Linlin Chao; Xiaoming Zhang; Stan Z. Li (CoRR, 2025)