Yiming Tang

43 papers A* 2A 1B 3Journal 26Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bridging Mechanistic Interpretability and Prompt Engineering with Gradient Ascent for Interpretable Persona Control.
CoRR
Harshvardhan Saini, Yiming Tang, Dianbo Liu
2026 A* conf
FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition.
AAAI
Zhongde An, Jinhong You, Jiyanglin Li, Yiming Tang, Wen Li, Heming Du, Shouguo Du
2026 J jnl
Navigating heterogeneous protein landscapes through geometry-aware smoothing.
CoRR
Srinivas Anumasa, Barath Chandran. C, Tingting Chen, Nuwaisir Mohammad Rahman, Yingtao Zhu, Rushi Shah, Hongyu He, Peisong Zhang, Yizhen Liao, Yiming Tang, Yong Shen, Tianfan Fu, Rui Qing, Xiao Li, Sebastian Maurer-Stroh, Xinyi Su, ZhiZhuo Zhang, Dianbo Liu
2026 J jnl
Reliability assessment of evacuation systems at the urban spatial scale using a two-stage evacuation simulation under temporary and fixed refuge scenarios.
Reliab. Eng. Syst. Saf.
Wei Chen, Shuhang Zhang, Wenfei Liang, Yiming Tang, Jing Yang, Wei Zhai
2025 B conf
A Multi-Scale Decomposition and Fusion Framework Utilizing Mamba for Enhanced Time Series Forecasting.
SMC
Wenjun Yu, Wen Li, Kun Zheng, Yiming Tang, Jiyanglin Li, Heming Du, Shouguo Du, Jinhong You
2025 J jnl
Bias as a Virtue: Rethinking Generalization under Distribution Shifts.
CoRR
Ruixuan Chen, Wentao Li, Jiahui Xiao, Yuchen Li, Yiming Tang, Xiaonan Wang
2025 J jnl
CXR-LanIC: Language-Grounded Interpretable Classifier for Chest X-Ray Diagnosis.
CoRR
Yiming Tang, Wenjia Zhong, Rushi Shah, Dianbo Liu
2025 B conf
DAEM: A Decomposed Attention-Enhanced Mamba Model for Multivariate Time Series Forecasting.
IJCNN
Wen Li, Jiaxin Yuan, Heming Du, Jiyanglin Li, Shouguo Du, Yiming Tang
2025 J jnl
FML-bench: A Benchmark for Automatic ML Research Agents Highlighting the Importance of Exploration Breadth.
CoRR
Qiran Zou, Hein-Mun Lam, Wenhao Zhao, Yiming Tang, Tingting Chen, Samson Yu, Tianyi Zhang, Chang Liu, Xiangyang Ji, Dianbo Liu
2025 J jnl
FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition.
CoRR
Zhongde An, Jinhong You, Jiyanglin Li, Yiming Tang, Wen Li, Heming Du, Shouguo Du
2025 A conf
GASEM: Boosting Generalized and Actionable Parts Segmentation and Pose Estimation via Object Motion Perception.
ICME
Liu Liu, Ran Zhang, Wenbo Xu, Li Zhang, Yiming Tang, Qi Wu, Hao Wu
2025 J jnl
How does My Model Fail? Automatic Identification and Interpretation of Physical Plausibility Failure Modes with Matryoshka Transcoders.
CoRR
Yiming Tang, Abhijeet Sinha, Dianbo Liu
2025 J jnl
Incipient fault detection based on double Kullback-Leibler divergence KLDattW improved by a self-attention mechanism.
Reliab. Eng. Syst. Saf.
Yiming Tang, Pengfei Ma, Lei Li, Xin Liu, Yanjun Liu, Qiuliang Wang
2025 J jnl
Interpretable Evaluation of AI-Generated Content with Language-Grounded Sparse Encoders.
CoRR
Yiming Tang, Arash Lagzian, Srinivas Anumasa, Qiran Zou, Trang Nguyen, Ehsan Adeli, Ching-Yu Cheng, Yilun Du, Dianbo Liu
2025 J jnl
M3PT: A Transformer for Multimodal, Multi-Party Social Signal Prediction with Person-aware Blockwise Attention.
CoRR
Yiming Tang, Abrar Anwar, Jesse Thomason
2025 J jnl
On the Theoretical Foundation of Sparse Dictionary Learning in Mechanistic Interpretability.
CoRR
Yiming Tang, Harshvardhan Saini, Yizhen Liao, Dianbo Liu
2025 J jnl
Relative-Density-Viewpoint-Based Weighted Kernel Fuzzy Clustering.
Comput. Mater. Continua
Yuhan Xia, Xu Li, Ye Liu, Wenbo Zhou, Yiming Tang
2025 A* conf
SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning.
ICML
Gaole Dai, Chun-Kai Fan, Yiming Tang, Zhi Zhang, Yuan Zhang, Yulu Gan, Qizhe Zhang, Cheng-Ching Tseng, Shanghang Zhang, Tiejun Huang
2025 J jnl
SPAGS: Sparse-View Articulated Object Reconstruction from Single State via Planar Gaussian Splatting.
CoRR
Di Wu, Liu Liu, Xueyu Yuan, Qiaojun Yu, Wenxiao Chen, Ruilong Yan, Yiming Tang, Liangtu Song
2025 J jnl
StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization.
CoRR
Yiming Tang, Yi Fan, Chenxiao Yu, Tiankai Yang, Yue Zhao, Xiyang Hu
2025 J jnl
Two-Stage Category-Guided Frequency Modulation for Few-Shot Semantic Segmentation.
Comput. Mater. Continua
Yiming Tang, Yanqiu Chen
2024 J jnl
A Lightweight Insulator Detection Methodology for UAVs in Power Line Inspection.
J. Circuits Syst. Comput.
Yue Meng, Yiming Tang, Xiang Huang, Haoyu Wang, Jie Zhu, Wenjuan Tang, Lu Chen
2024 — conf
Aggregation of fuzzy T-equivalence relations.
ISCID
Xuanxuan Li, Gang Li, Yiming Tang
2024 J jnl
Demonstration Notebook: Finding the Most Suited In-Context Learning Example from Interactions.
CoRR
Yiming Tang, Bin Dong
2024 J jnl
Discovering Long-Term Effects on Parameter Efficient Fine-tuning.
CoRR
Gaole Dai, Yiming Tang, Chunkai Fan, Qizhe Zhang, Zhi Zhang, Yulu Gan, Chengqing Zeng, Shanghang Zhang, Tiejun Huang
2024 J jnl
Hopf Bifurcation of an Age-Structured Hand-Foot-Mouth Disease Model in a Contaminated Environment.
Int. J. Bifurc. Chaos
Yiming Tang, Hairong Lian, Shiwen Jing, Zhaohai Ma
2024 J jnl
Hybrid divergence based on mean absolute scaled error for incipient fault detection.
Eng. Appl. Artif. Intell.
Yiming Tang, Liangliang Shang, Runzhuo Zhang, Junhong Li, Huailiang Fu
2024 — conf
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model.
ECCV (33)
Yulin Luo, Ruichuan An, Bocheng Zou, Yiming Tang, Jiaming Liu, Shanghang Zhang
2024 J jnl
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model.
CoRR
Yulin Luo, Ruichuan An, Bocheng Zou, Yiming Tang, Jiaming Liu, Shanghang Zhang
2024 — conf
Learning Seasonal-Trend Representations and Conditional Heteroskedasticity for Time Series Analysis.
ICANN (6)
Wen Li, Wenjun Yu, Heming Du, Shouguo Du, Jinhong You, Yiming Tang
2024 J jnl
Relevancy transformation operators in the form of polynomial functions.
J. Intell. Fuzzy Syst.
Chen Zhao, Lijun Sun, Gang Li, Yiming Tang
2023 J jnl
Prompt Engineering Through the Lens of Optimal Control.
CoRR
Yifan Luo, Yiming Tang, Chengfeng Shen, Zhennan Zhou, Bin Dong
2022 — conf
A Weighting Possibilistic Fuzzy C-Means Algorithm for Interval Granularity.
ChineseCSCW (2)
Yiming Tang, Lei Xi, Wenbin Wu, Xi Wu, Shujie Li, Rui Chen
2022 — conf
On Interval Perturbation of the ɑ-Symmetric Implicational Algorithm.
AILA
Yiming Tang, Jianghui Han, Guangqing Bao, Rui Chen
2022 — conf
Viewpoint-Driven Subspace Fuzzy C-Means Algorithm.
AILA
Yiming Tang, Rui Chen, Bowen Xia
2021 — conf
3-D Convolutional Neural Network Driven by Dimensionality Reduction for Hyperspectral Blood Cells Classification.
ICIG (2)
Yuan Li, Hong Huang, Jian Wu, Yiming Tang
2021 J jnl
Dimensionality Reduction of Hyperspectral Image Based on Local Constrained Manifold Structure Collaborative Preserving Embedding.
Remote. Sens.
Guangyao Shi, Fulin Luo, Yiming Tang, Yuan Li
2021 — conf
Kernel Subspace Possibilistic Fuzzy C-Means Algorithm Driven by Feature Weights.
ChineseCSCW (1)
Yiming Tang, Zhifu Pan, Hongmang Li, Lei Xi
2021 J jnl
State-of-the-Art Development of Complex Systems and Their Simulation Methods.
Complex Syst. Model. Simul.
Yiming Tang, Lin Li, Xiaoping Liu
2021 — —
Towards Automated Software Evolution of Data-Intensive Applications.
Yiming Tang
2020 — conf
Influence Analysis Model of Clean Energy Grid-Connected Generation to Transmission and Distribution Price.
CSIA (1)
Ronghua Wang, Ying Du, Puyu He, Tiannan Ma, Yiming Tang, Qian Li
2014 B conf
On the α-universal multiple I restriction method for general fuzzy reasoning.
FUZZ-IEEE
Yiming Tang, Xiaomei Li
2010 — conf
A High Linearity 6
APCCAS
Di Zhu, Jiacheng Wang, Chaoli Zhong, Jie Tian, Yiming Tang, Peiyuan Wan, Ping Lin