TLPG-Tracker: Joint Learning of Target Localization and Proposal Generation for Visual Tracking. - Siyuan Li 002; Zhi Zhang; Ziyu Liu; Anna Wang; Linglong Qiu; Feng Du (IJCAI, 2020)

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)

Invertible Manifold Learning for Dimension Reduction. - Siyuan Li 002; Haitao Lin; Zelin Zang; Lirong Wu; Jun Xia 001; Stan Z. Li (ECML/PKDD (3), 2021)

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)

Unsupervised Deep Manifold Attributed Graph Embedding. - Zelin Zang; Siyuan Li 002; Di Wu 057; Jianzhu Guo; Yongjie Xu; Stan Z. Li (CoRR, 2021)

Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment. - Di Wu 057; Siyuan Li 002; Zelin Zang; Kai Wang 036; Lei Shang; Baigui Sun; Hao Li 030; Stan Z. Li (CoRR, 2021)

GenURL: A General Framework for Unsupervised Representation Learning. - Siyuan Li 002; Zelin Zang; Di Wu 057; Zhiyuan Chen 008; Stan Z. Li (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)

Exploring Localization for Self-supervised Fine-grained Contrastive Learning. - Di Wu 057; Siyuan Li 002; Zelin Zang; Stan Z. Li (BMVC, 2022)

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)

Hyperspherical Consistency Regularization. - Cheng Tan 012; Zhangyang Gao; Lirong Wu; Siyuan Li 002; Stan Z. Li (CVPR, 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)

DLME: Deep Local-Flatness Manifold Embedding. - Zelin Zang; Siyuan Li 002; Di Wu 057; Ge Wang; Kai Wang 036; Lei Shang; Baigui Sun; Hao Li 030; Stan Z. Li (ECCV (21), 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)

neuro2vec: Masked Fourier Spectrum Prediction for Neurophysiological Representation Learning. - Di Wu 057; Siyuan Li 002; Jie Yang 033; Mohamad Sawan (CoRR, 2022)

Discovering the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions. - Fang Wu 002; Siyuan Li 002; Lirong Wu; Dragomir R. Radev; Qiang Zhang 026; Stan Z. Li (CoRR, 2022)

Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. - Siyuan Li 002; Di Wu 057; Fang Wu 002; Zelin Zang; Kai Wang 036; Lei Shang; Baigui Sun; Hao Li 030; Stan Z. Li (CoRR, 2022)

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. - Cheng Tan 012; Zhangyang Gao; Siyuan Li 002; Yongjie Xu; Stan Z. Li (CoRR, 2022)

DLME: Deep Local-flatness Manifold Embedding. - Zelin Zang; Siyuan Li 002; Di Wu 057; Ge Wang; Lei Shang; Baigui Sun; Hao Li 030; Stan Z. Li (CoRR, 2022)

UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection. - Zelin Zang; Yongjie Xu; Yulan Geng; Siyuan Li 002; 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)

Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation. - Jiangbin Zheng 002; Siyuan Li 002; Cheng Tan 012; Chong Wu; Yidong Chen 001; 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)

Non-equispaced Fourier Neural Solvers for PDEs. - Haitao Lin; Lirong Wu; Yongjie Xu; Yufei Huang 002; Siyuan Li 002; Guojiang Zhao; Stan Z. Li (CoRR, 2022)

Deep manifold embedding of attributed graphs. - Zelin Zang; Siyuan Li 002; Di Wu 057; Jianzhu Guo; Yongjie Xu; Stan Z. Li (Neurocomputing, 2022)

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. - Cheng Tan 012; Zhangyang Gao; Lirong Wu; Yongjie Xu; Jun Xia 001; Siyuan Li 002; Stan Z. Li (CVPR, 2023)

CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment. - Jiangbin Zheng 002; Yile Wang 001; Cheng Tan 012; Siyuan Li 002; Ge Wang; Jun Xia 001; Yidong Chen 001; Stan Z. Li (CVPR, 2023)

Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules. - Jun Xia 001; Chengshuai Zhao; Bozhen Hu; Zhangyang Gao; Cheng Tan 012; Yue Liu 008; Siyuan Li 002; Stan Z. Li (ICLR, 2023)

Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. - Siyuan Li 002; Di Wu 057; Fang Wu 002; Zelin Zang; Stan Z. Li (ICML, 2023)

Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching. - Fang Wu 002; Siyuan Li 002; Xurui Jin; Yinghui Jiang; Dragomir Radev; Zhangming Niu; Stan Z. Li (ICML, 2023)

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)

Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. - Haitao Lin; Yufei Huang 002; Odin Zhang; Yunfan Liu 002; Lirong Wu; Siyuan Li 002; Zhiyuan Chen 008; Stan Z. Li (NeurIPS, 2023)

Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions. - Jun Xia 001; Lecheng Zhang; Xiao Zhu; Yue Liu 008; Zhangyang Gao; Bozhen Hu; Cheng Tan 012; Jiangbin Zheng 002; Siyuan Li 002; Stan Z. Li (NeurIPS, 2023)

Explaining Graph Neural Networks via Non-parametric Subgraph Matching. - Fang Wu 002; Siyuan Li 002; Lirong Wu; Dragomir Radev; Yinghui Jiang; Xurui Jin; Zhangming Niu; Stan Z. Li (CoRR, 2023)

Lightweight Contrastive Protein Structure-Sequence Transformation. - Jiangbin Zheng 002; Ge Wang; Yufei Huang 002; Bozhen Hu; Siyuan Li 002; Cheng Tan 012; Xinwen Fan; Stan Z. Li (CoRR, 2023)

InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems. - Fang Wu 002; Huiling Qin; Siyuan Li 002; Stan Z. Li; Xianyuan Zhan; Jinbo Xu (CoRR, 2023)

Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. - Haitao Lin; Yufei Huang 002; Haotian Zhang; Lirong Wu; Siyuan Li 002; Zhiyuan Chen 008; Stan Z. Li (CoRR, 2023)

Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework. - Jingxuan Wei; Cheng Tan 012; Zhangyang Gao; Linzhuang Sun; Siyuan Li 002; Bihui Yu; Ruifeng Guo; Stan Z. Li (CoRR, 2023)

Revisiting the Temporal Modeling in Spatio-Temporal Predictive Learning under A Unified View. - Cheng Tan 012; Jue Wang 004; Zhangyang Gao; Siyuan Li 002; Lirong Wu; Jun Xia 001; Stan Z. Li (CoRR, 2023)

Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction. - Yufei Huang 002; Siyuan Li 002; Jin Su; Lirong Wu; Odin Zhang; Haitao Lin; Jingqi Qi; Zihan Liu; Zhangyang Gao; Yuyang Liu; Jiangbin Zheng 002; Stan Z. Li (CoRR, 2023)

Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training. - Cheng Tan 012; Jingxuan Wei; Zhangyang Gao; Linzhuang Sun; Siyuan Li 002; Xihong Yang; Stan Z. Li (CoRR, 2023)

MMDesign: Multi-Modality Transfer Learning for Generative Protein Design. - Jiangbin Zheng 002; Siyuan Li 002; Yufei Huang 002; Zhangyang Gao; Cheng Tan 012; Bozhen Hu; Jun Xia 001; Ge Wang; Stan Z. Li (CoRR, 2023)

Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. - Yufei Huang 002; Siyuan Li 002; Lirong Wu; Jin Su; Haitao Lin; Odin Zhang; Zihan Liu; Zhangyang Gao; Jiangbin Zheng 002; Stan Z. Li (AAAI, 2024)

Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations. - Xuesong Nie; Yunfeng Yan; Siyuan Li 002; Cheng Tan 012; Xi Chen; Haoyuan Jin; Zhihang Zhu; Stan Z. Li; Donglian Qi (AAAI, 2024)

FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio. - Chao Xu 023; Yang Liu 356; Jiazheng Xing; Weida Wang; Mingze Sun; Jun Dan; Tianxin Huang; Siyuan Li 002; Zhi-Qi Cheng; Ying Tai; Baigui Sun (CVPR, 2024)

Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-consistency Training. - Cheng Tan 012; Jingxuan Wei; Zhangyang Gao; Linzhuang Sun; Siyuan Li 002; Ruifeng Guo; Bihui Yu; Stan Z. Li (ECCV (40), 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)

KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement. - Zhangyang Gao; Cheng Tan 012; Xingran Chen; Yijie Zhang; Jun Xia 001; Siyuan Li 002; 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)

MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. - Lirong Wu; Yijun Tian 001; Yufei Huang 002; Siyuan Li 002; Haitao Lin; Nitesh V. Chawla; Stan Z. Li (ICLR, 2024)

Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. - Yufei Huang 002; Odin Zhang; Lirong Wu; Cheng Tan 012; Haitao Lin; Zhangyang Gao; Siyuan Li 002; Stan Z. Li (ICML, 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)

Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. - Lirong Wu; Yijun Tian 001; Haitao Lin; Yufei Huang 002; Siyuan Li 002; Nitesh V. Chawla; 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)

Instructor-inspired Machine Learning for Robust Molecular Property Prediction. - Fang Wu 002; Shuting Jin; Siyuan Li 002; Stan Z. Li (NeurIPS, 2024)

TopoFR: A Closer Look at Topology Alignment on Face Recognition. - Jun Dan; Yang Liu 356; Jiankang Deng; Haoyu Xie; Siyuan Li 002; Baigui Sun; Shan Luo 001 (NeurIPS, 2024)

PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation. - Chenrui Duan; Zelin Zang; Siyuan Li 002; Yongjie Xu; Stan Z. Li (NeurIPS, 2024)

UniIF: Unified Molecule Inverse Folding. - Zhangyang Gao; Jue Wang 004; Cheng Tan 012; Lirong Wu; Yufei Huang 002; Siyuan Li 002; Zhirui Ye; Stan Z. Li (NeurIPS, 2024)

FGeneBERT: function-driven pre-trained gene language model for metagenomics. - Chenrui Duan; Zelin Zang; Yongjie Xu; Hang He; Siyuan Li 002; Zihan Liu; Zhen Lei 001; Ju-Sheng Zheng; Stan Z. Li (Briefings Bioinform., 2024)

R3Design: deep tertiary structure-based RNA sequence design and beyond. - Cheng Tan 012; Yijie Zhang; Zhangyang Gao; Hanqun Cao; Siyuan Li 002; Siqi Ma; Mathieu Blanchette; Stan Z. Li (Briefings Bioinform., 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)

Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. - Lirong Wu; Yijun Tian 001; Haitao Lin; Yufei Huang 002; Siyuan Li 002; Nitesh V. Chawla; Stan Z. Li (CoRR, 2024)

Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning. - Cheng Tan 012; Jingxuan Wei; Linzhuang Sun; Zhangyang Gao; Siyuan Li 002; Bihui Yu; Ruifeng Guo; 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)

GNN Cleaner: Label Cleaner for Graph Structured Data. - Jun Xia 001; Haitao Lin; Yongjie Xu; Cheng Tan 012; Lirong Wu; Siyuan Li 002; Stan Z. Li (IEEE Trans. Knowl. Data Eng., 2024)

Enhancing human-like multimodal reasoning: a new challenging dataset and comprehensive framework. - Jingxuan Wei; Cheng Tan 012; Zhangyang Gao; Linzhuang Sun; Siyuan Li 002; Bihui Yu; Ruifeng Guo; Stan Z. Li (Neural Comput. Appl., 2024)

Discovering the Representation Bottleneck of Graph Neural Networks. - Fang Wu 002; Siyuan Li 002; Stan Z. Li (IEEE Trans. Knowl. Data Eng., 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)

From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing. - Jingxuan Wei; Cheng Tan 012; Qi Chen; Gaowei Wu; Siyuan Li 002; Zhangyang Gao; Linzhuang Sun; Bihui Yu; Ruifeng Guo (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)

MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction. - Cheng Tan 012; Zhenxiao Cao; Zhangyang Gao; Lirong Wu; Siyuan Li 002; Yufei Huang 002; Jun Xia 001; Bozhen Hu; Stan Z. Li (ICLR, 2025)

Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings. - Di Wu 057; Siyuan Li 002; Chen Feng; Lu Cao; Yue Zhang; Jie Yang 033; Mohamad Sawan (ICLR, 2025)

SimVPv2: Towards Simple Yet Powerful Spatiotemporal Predictive Learning. - Cheng Tan 012; Zhangyang Gao; Siyuan Li 002; Stan Z. Li (IEEE Trans. Multim., 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)

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)

AlphaFold Database Debiasing for Robust Inverse Folding. - Cheng Tan 012; Zhenxiao Cao; Zhangyang Gao; Siyuan Li 002; Yufei Huang 002; Stan Z. Li (CoRR, 2025)

Unlasting: Unpaired Single-Cell Multi-Perturbation Estimation by Dual Conditional Diffusion Implicit Bridges. - Changxi Chi; Jun Xia 001; Yufei Huang 002; Jingbo Zhou; Siyuan Li 002; Yunfan Liu 002; Chang Yu 001; Stan Z. Li (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)

Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning. - Zedong Wang; Siyuan Li 002; Dan Xu (CoRR, 2025)

SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches. - Cheng Tan 012; Qi Chen; Jingxuan Wei; Gaowei Wu; Zhangyang Gao; Siyuan Li 002; Bihui Yu; Ruifeng Guo; Stan Z. Li (CoRR, 2025)

USTEP: Spatio-Temporal Predictive Learning Under a Unified View. - Cheng Tan 012; Jue Wang 004; Zhangyang Gao; Siyuan Li 002; Stan Z. Li (IEEE Trans. Pattern Anal. Mach. Intell., 2025)