Zhongzhi Li

Orcid: 0009-0003-5336-3227

According to our database¹, Zhongzhi Li authored at least 49 papers between 2010 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2026

From System 1 to System 2: A Survey of Reasoning Large Language Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs.

[BibT_eX]

[DOI]

CoRR, February, 2026

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey.

[BibT_eX]

[DOI]

Francisco Piedrahita Velez

Trans. Mach. Learn. Res., 2026

FGPR: A large-scale dataset and benchmark for fine-grained product retrieval.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Too Long, Do Re-weighting for Efficient LLM Reasoning Compression.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

LiteLong: Resource-Efficient Long-Context Data Synthesis for LLMs.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning.

[BibT_eX]

[DOI]

CoRR, September, 2025

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey.

[BibT_eX]

[DOI]

CoRR, September, 2025

Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR.

[BibT_eX]

[DOI]

CoRR, August, 2025

MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph.

[BibT_eX]

[DOI]

CoRR, August, 2025

Revisiting Continual Semantic Segmentation with Pre-trained Vision Models.

[BibT_eX]

[DOI]

CoRR, August, 2025

A Survey of Context Engineering for Large Language Models.

[BibT_eX]

[DOI]

CoRR, July, 2025

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning.

[BibT_eX]

[DOI]

CoRR, June, 2025

TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression.

[BibT_eX]

[DOI]

CoRR, June, 2025

SOLIDGEO: Measuring Multimodal Spatial Math Reasoning in Solid Geometry.

[BibT_eX]

[DOI]

CoRR, May, 2025

ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners.

[BibT_eX]

[DOI]

CoRR, May, 2025

Safety in Large Reasoning Models: A Survey.

[BibT_eX]

[DOI]

CoRR, April, 2025

From System 1 to System 2: A Survey of Reasoning Large Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

[BibT_eX]

[DOI]

CoRR, January, 2025

Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with prior knowledge.

[BibT_eX]

[DOI]

Neurocomputing, 2025

PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

CleanBattack: A Clean-Label Text Backdoor Attack with Limited Information.

[BibT_eX]

[DOI]

Proceedings of 2025 2nd International Conference on Machine Learning and Intelligent Computing (MLIC 2025), 2025

Safety in Large Reasoning Models: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Enhancing Multimodal Continual Instruction Tuning with BranchLoRA.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Ultra-Short Time Imaging of Urban Underground Structures Using Vehicle Noise Coda Waves.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

Fuse, Reason and Verify: Geometry Problem Solving with Parsed Clauses from Diagram.

[BibT_eX]

[DOI]

CoRR, 2024

TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis.

[BibT_eX]

[DOI]

CoRR, 2024

Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge.

[BibT_eX]

[DOI]

CoRR, 2024

GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

LANS: A Layout-Aware Neural Solver for Plane Geometry Problem.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

A Lightweight and Explainable Data-Driven Scheme for Fault Detection of Aerospace Sensors.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., December, 2023

2022

Fault Detection and Classification of Aerospace Sensors using a VGG16-based Deep Neural Network.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Erratum to "A Hierarchical Attention Recommender System Based on Cross-Domain Social Networks".

[BibT_eX]

[DOI]

Complex., 2021

2020

A Hierarchical Attention Recommender System Based on Cross-Domain Social Networks.

[BibT_eX]

[DOI]

Complex., 2020

Fault Detection on Insulated Overhead Conductors Based on DWT-LSTM and Partial Discharge.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Series Arc Fault Detection of Indoor Power Distribution System Based on LVQ-NN and PSO-SVM.

[BibT_eX]

[DOI]

IEEE Access, 2019

2012

High Resolution Range Profile Recognition Using Robust Kernel Neighborhood Preserving Projection.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Computer and Information Technology, 2012

2010

Spatial Clustering Algorithm Based on Hierarchical-Partition Tree.

[BibT_eX]

[DOI]

Zhongzhi Li

Xuegang Wang

J. Digit. Content Technol. its Appl., 2010

Multiple Target Tracking Using Reverse Prediction Weighted Neighbor Data Association.

[BibT_eX]

[DOI]

Zhongzhi Li

Xuegang Wang

J. Convergence Inf. Technol., 2010

Kohonen self-organizing map for multiple-outlet sluice gates control system.

[BibT_eX]

[DOI]

Zhongzhi Li

Proceedings of the Sixth International Conference on Natural Computation, 2010

High Resolution Radar Data Fusion Based on Clustering Algorithm.

[BibT_eX]

[DOI]

Zhongzhi Li

Xuegang Wang

Proceedings of the Second International Workshop on Database Technology and Applications, 2010

Zhongzhi Li

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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