Linfeng Zhang
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Linfeng Zhang 001 (Shanghai Jiao Tong University, China)
- Linfeng Zhang 002 (DP Technology, Beijing, China)
- Linfeng Zhang 003 (Iowa State University, Ames, IA, USA)
- Linfeng Zhang 004 (Ohio State University, OH, USA)
- Linfeng Zhang 005 (Zhejiang University of Water Resources and Electric Power, China)
Bibliography
2025
Mixing Importance with Diversity: Joint Optimization for KV Cache Compression in Large Vision-Language Models.
CoRR, October, 2025
A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation.
CoRR, October, 2025
CoRR, October, 2025
AudioMarathon: A Comprehensive Benchmark for Long-Context Audio Understanding and Efficiency in Audio LLMs.
CoRR, October, 2025
LMM-Incentive: Large Multimodal Model-based Incentive Design for User-Generated Content in Web 3.0.
CoRR, October, 2025
MASC: Boosting Autoregressive Image Generation with a Manifold-Aligned Semantic Clustering.
CoRR, October, 2025
Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers.
CoRR, October, 2025
Towards Self-Evolving Benchmarks: Synthesizing Agent Trajectories via Test-Time Exploration under Validate-by-Reproduce Paradigm.
CoRR, October, 2025
CoRR, September, 2025
CoRR, September, 2025
Follow-Your-Emoji-Faster: Towards Efficient, Fine-Controllable, and Expressive Freestyle Portrait Animation.
CoRR, September, 2025
CoRR, September, 2025
Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching.
CoRR, September, 2025
CoRR, September, 2025
CoRR, August, 2025
HiCache: Training-free Acceleration of Diffusion Models via Hermite Polynomial-based Feature Caching.
CoRR, August, 2025
Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers.
CoRR, August, 2025
Prune2Drive: A Plug-and-Play Framework for Accelerating Vision-Language Models in Autonomous Driving.
CoRR, August, 2025
CoRR, August, 2025
OpenBreastUS: Benchmarking Neural Operators for Wave Imaging Using Breast Ultrasound Computed Tomography.
CoRR, July, 2025
CoRR, July, 2025
CoRR, July, 2025
Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles.
CoRR, June, 2025
SkipVAR: Accelerating Visual Autoregressive Modeling via Adaptive Frequency-Aware Skipping.
CoRR, June, 2025
Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs.
CoRR, June, 2025
Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models.
CoRR, May, 2025
Seeing Sarcasm Through Different Eyes: Analyzing Multimodal Sarcasm Perception in Large Vision-Language Models.
CoRR, March, 2025
CoRR, March, 2025
CoRR, March, 2025
Nonlocal modeling for gas-fluid seepage coupled with heat transfer in gas hydrate by using peridynamic differential operator.
Math. Comput. Simul., 2025
Comput. Graph., 2025
Multivariate Machine Learning Model Based on YOLOv8 for Traffic Flow Prediction in Intelligent Transportation Systems.
IEEE Access, 2025
2023
Sensors, October, 2023
2022
A Novel Design Method of High Throughput Blockchain for 6G Networks: Performance Analysis and Optimization Model.
IEEE Internet Things J., 2022
m<sup>*</sup> of two-dimensional electron gas: a neural canonical transformation study.
CoRR, 2022
2021
Ab-initio study of interacting fermions at finite temperature with neural canonical transformation.
CoRR, 2021
2019
Junction Conditions for Hamilton-Jacobi Equations for Solving Real-Time Traffic Flow Problems.
IEEE Access, 2019
2018
Simul., 2018
2017
Simulation model of self-organizing pedestrian movement considering following behavior.
Frontiers Inf. Technol. Electron. Eng., 2017
2007
E-learning System Based on Neural Networks.
Proceedings of the World Congress on Engineering, 2007