ML Anthology

Shen, Yifei

25 publications

NeurIPS 2025 Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion Qijun Luo, Yifei Shen, Liangzu Peng, Dongsheng Li, Xiao Li
ICML 2025 Habitizing Diffusion Planning for Efficient and Effective Decision Making Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
ICLR 2025 How Do Large Language Models Understand Graph Patterns? a Benchmark for Graph Pattern Comprehension Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan
ICCV 2025 Large Multi-Modal Models Can Interpret Features in Large Multi-Modal Models Kaichen Zhang, Yifei Shen, Bo Li, Ziwei Liu
NeurIPS 2025 Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-Context, and Textual Annotation Zehui Li, Vallijah Subasri, Yifei Shen, Dongsheng Li, Wentao Gu, Guy-Bart Stan, Yiren Zhao, Caihua Shan
NeurIPS 2025 Toward Relative Positional Encoding in Spiking Transformers Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
NeurIPS 2025 Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs Kai Wang, Siqiang Luo, Caihua Shan, Yifei Shen
ICLR 2025 What Makes a Good Diffusion Planner for Decision Making? Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li
ICML 2025 When Do LLMs Help with Node Classification? a Comprehensive Analysis Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng
NeurIPS 2024 ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
NeurIPS 2024 Can Graph Learning Improve Planning in LLM-Based Agents? Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
ICLR 2024 Training-Free Multi-Objective Diffusion Model for 3D Molecule Generation Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
NeurIPS 2024 Understanding and Improving Training-Free Loss-Based Diffusion Guidance Yifei Shen, Xinyang Jiang, Yifan Yang, Yezhen Wang, Dongqi Han, Dongsheng Li
ICML 2023 CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
NeurIPS 2023 ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation Ya Sheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike
AAAI 2023 Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
ICLR 2023 SIMPLE: Specialized Model-Sample Matching for Domain Generalization Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
ICLR 2023 Sparse Mixture-of-Experts Are Domain Generalizable Learners Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu
NeurIPSW 2023 Toward Open-Ended Embodied Tasks Solving Wei Wang, Dongqi Han, Xufang Luo, Yifei Shen, Charles Ling, Boyu Wang, Dongsheng Li
AAAI 2022 Invariant Information Bottleneck for Domain Generalization Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
AAAI 2022 Neural Piecewise-Constant Delay Differential Equations Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin
NeurIPSW 2022 Sparse Mixture-of-Experts Are Domain Generalizable Learners Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu
NeurIPS 2021 Recognizing Vector Graphics Without Rasterization Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
NeurIPS 2021 Reinforcement Learning Enhanced Explainer for Graph Neural Networks Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
UAI 2020 Complete Dictionary Learning via $\ell_p$-Norm Maximization Yifei Shen, Ye Xue, Jun Zhang, Khaled Letaief, Vincent Lau