Tianren Zhang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Diff-polar: low-light color polarization image enhancement method based on latent diffusion model.
Signal Image Video Process., November, 2025

DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning.
CoRR, September, 2025

Multimodal machine learning with large language embedding model for polymer property prediction.
CoRR, March, 2025

Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them.
CoRR, March, 2025

When do neural networks learn world models?
CoRR, February, 2025

Property-Oriented Reverse Design of Hydrocarbon Fuels Based on c-infoGAN.
J. Chem. Inf. Model., 2025

Iterative compression towards in-distribution features in domain generalization.
Neurocomputing, 2025

Causal dreamer for partially observable model-based reinforcement learning.
Neurocomputing, 2025

A multi-objective route-searching strategy balancing fuel consumption and crash risks.
Displays, 2025

KRR: Efficient and Scalable Kernel Record Replay.
Proceedings of the 19th USENIX Symposium on Operating Systems Design and Implementation, 2025

Enhanced Ferroelectricity in Hf<sub>0.5</sub>Zr<sub>.5</sub>O<sub>2</sub> Thin Films by NLA at Intermediate Laser Energy Density.
Proceedings of the International Conference on IC Design and Technology, 2025

2024
M<sup>3</sup>PL: Identifying and Exploiting View Bias of Prompt Learning.
Trans. Mach. Learn. Res., 2024

Preserving Silent Features for Domain Generalization.
CoRR, 2024

Short-Term Power Forecasting and Uncertainty Analysis of Wind Farm at Multiple Time Scales.
IEEE Access, 2024

Informed Machine Learning for Real-time Grinding Force Prediction.
Proceedings of the 30th International Conference on Mechatronics and Machine Vision in Practice, 2024

XFusion: Cross-Attention Transformer for Multi-focus Image Fusion.
Proceedings of the Neural Information Processing - 31st International Conference, 2024

Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Accessible data lineage: A scoping review on open-source data lineage platforms.
Proceedings of the 45th International Conference on Information Systems, 2024

2023
Partial Consistency for Stabilizing Undiscounted Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Adjacency Constraint for Efficient Hierarchical Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

MER: Modular Element Randomization for robust generalizable policy in deep reinforcement learning.
Knowl. Based Syst., 2023

Provincial Energy Supply and Demand Risk Assessment Based on GRA-AHP-EWM Method.
Proceedings of the 2023 3rd International Conference on Big Data, 2023

Fast Counterfactual Inference for History-Based Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization.
CoRR, 2022

Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos.
Appl. Intell., 2022

Segmentation Comparison with FCN Based approach and YOLO Based approach.
Proceedings of the 6th International Conference on Video and Image Processing, 2022

2021
Subjective Learning for Open-Ended Data.
CoRR, 2021

CRIL: Continual Robot Imitation Learning via Generative and Prediction Model.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Deep Meta Metric Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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