XL
Xue Lin
cs.LGcs.CVcs.AIstat.MLcs.CRcs.NEcs.CLcs.AReess.IVcs.SD
On Valency
published · living versionsW_sm7r6rxg·v1 · currentpublished
When Does Test-Time Search Help World Action Models? An Empirical Audit of Candidate Selection and Simulator Integrity
with Jun Liu, Dajie Sun, Zhenglun Kong, Zhenjiang Fan +6
1 version
Preprints & journals
100 papers in the corpus · 2012–2026P2Flow: Phoneme-aware Progressive Flow Matching for Extreme Speech Super-Resolution2609.24138v1 · Ningyuan Yang, Yize Li, Pu Zhao et al.2026 · 0 citationsarXiv
DART-FL: Burst-Aware Multitask Federated Learning under Dynamic Inference Demand at the Edge2608.27713v1 · Yiming Xie, Pinrui Yu, Geng Yuan et al.2026 · 0 citationsarXiv
MRMAD: A Multi-Round Multi-Audio Benchmark for Evaluating Acoustic Degradation Perception in Large Audio-Language Models2608.22236v2 · Yize Li, Ningyuan Yang, Sile Yin et al.2026 · 0 citationsarXiv
ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models2605.24011v3 · Arash Akbari, Arman Akbari, Masih Eskandar et al.2026 · 0 citationsarXiv
A Survey of Advancing Audio Super-Resolution and Bandwidth Extension from Discriminative to Generative Models2605.16681v2 · Ningyuan Yang, Yize Li, Diego A. Cuji et al.2026 · 0 citationsarXiv
When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making2603.16673v5 · Jun Liu, Pu Zhao, Zhenglun Kong et al.2026 · 0 citationsarXiv
HIERAMP: Coarse-to-Fine Autoregressive Amplification for Generative Dataset Distillation2603.06932v1 · Lin Zhao, Xinru Jiang, Xi Xiao et al.2026 · 0 citationsarXiv
Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents2602.13379v2 · Xu Li, Simon Yu, Minzhou Pan et al.2026 · 1 citationarXiv
Prompt-based Adaptation in Large-scale Vision Models: A Survey2510.13219v2 · Xi Xiao, Yunbei Zhang, Lin Zhao et al.2025 · 1 citationarXiv
TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform2508.12279v2 · Jun Liu, Zhenglun Kong, Pu Zhao et al.2025 · 3 citationsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 44, no. 4, pp. 1406-1419, April 2025
VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting2507.05116v5 · Juyi Lin, Amir Taherin, Arash Akbari et al.2025 · 0 citationsarXiv
Token Reduction Should Go Beyond Efficiency in Generative Models -- From Vision, Language to Multimodality2505.18227v4 · Zhenglun Kong, Yize Li, Fanhu Zeng et al.2025 · 1 citationarXiv
Taming Diffusion for Dataset Distillation with High Representativeness2505.18399v1 · Lin Zhao, Yushu Wu, Xinru Jiang et al.2025 · 0 citationsarXiv
Structured Agent Distillation for Large Language Model2505.13820v5 · Jun Liu, Zhenglun Kong, Peiyan Dong et al.2025 · 0 citationsThe 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026)
RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation2501.04315v2 · Jun Liu, Zhenglun Kong, Peiyan Dong et al.2025 · 4 citationsarXiv
LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network Inference2411.11852v1 · Yanyue Xie, Zhengang Li, Dana Diaconu et al.2024 · 6 citationsarXiv
Pruning Foundation Models for High Accuracy without Retraining2410.15567v1 · Pu Zhao, Fei Sun, Xuan Shen et al.2024 · 13 citationsarXiv
Rethinking Token Reduction for State Space Models2410.14725v1 · Zheng Zhan, Yushu Wu, Zhenglun Kong et al.2024 · 8 citationsarXiv
MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router2410.12013v1 · Yanyue Xie, Zhi Zhang, Ding Zhou et al.2024 · 1 citationarXiv
Brain Tumor Classification on MRI in Light of Molecular Markers2409.19583v4 · Jun Liu, Geng Yuan, Weihao Zeng et al.2024 · 2 citationsSpringer Nature - Book Series: Transactions on Computational Science & Computational Intelligence, 2022
Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models2409.19128v2 · Yize Li, Yihua Zhang, Sijia Liu et al.2024 · 6 citationsarXiv
Search for Efficient Large Language Models2409.17372v2 · Xuan Shen, Pu Zhao, Yifan Gong et al.2024 · 7 citationsarXiv
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers2407.18175v1 · Zhengang Li, Alec Lu, Yanyue Xie et al.2024 · 10 citationsarXiv
SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum-Flux-Parametron Superconducting Circuits2407.18209v1 · Yanyue Xie, Peiyan Dong, Geng Yuan et al.2024 · 1 citationarXiv
JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model Edits2406.03720v1 · Minzhou Pan, Yi Zeng, Xue Lin et al.2024 · 0 citationsarXiv
HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression2404.13372v1 · Lei Lu, Yanyue Xie, Wei Jiang et al.2024 · 9 citationsarXiv
Finding needles in a haystack: A Black-Box Approach to Invisible Watermark Detection2403.15955v3 · Minzhou Pan, Zhenting Wang, Xin Dong et al.2024 · 2 citationsarXiv
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment2403.10799v6 · Jun Liu, Zhenglun Kong, Pu Zhao et al.2024 · 3 citationsarXiv
Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning2401.16766v1 · Chenan Wang, Pu Zhao, Siyue Wang et al.2024 · 5 citationsarXiv
Pursing the Sparse Limitation of Spiking Deep Learning Structures2311.12060v1 · Hao Cheng, Jiahang Cao, Erjia Xiao et al.2023 · 0 citationsarXiv
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?2303.07474v3 · Yuguang Yao, Jiancheng Liu, Yifan Gong et al.2023 · 0 citationsarXiv
Less is More: Data Pruning for Faster Adversarial Training2302.12366v2 · Yize Li, Pu Zhao, Xue Lin et al.2023 · 3 citationsarXiv
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms2302.11408v2 · Minzhou Pan, Yi Zeng, Lingjuan Lyu et al.2023 · 15 citationsarXiv
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers2211.08110v2 · Peiyan Dong, Mengshu Sun, Alec Lu et al.2022 · 127 citationsarXiv
Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed2209.12839v1 · Hao Cheng, Pu Zhao, Yize Li et al.2022 · 0 citationsarXiv
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity.34133272 · Niu, Wei, Li, Zhengang, Ma, Xiaolong et al.2022 · 19 citationsIEEE transactions on pattern analysis and machine intelligence. 2022;44(10):6224-6239
Non-Structured DNN Weight Pruning-Is It Beneficial in Any Platform?33735086 · Ma, Xiaolong, Lin, Sheng, Ye, Shaokai et al.2022 · 115 citationsIEEE transactions on neural networks and learning systems. 2022;33(9):4930-4944
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization2208.05163v1 · Zhengang Li, Mengshu Sun, Alec Lu et al.2022 · 85 citationsarXiv
FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate2207.04090v1 · Zhengang Li, Sheng Lin, Shan Liu et al.2022 · 3 citationsarXiv
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization2206.01198v1 · Yanyu Li, Pu Zhao, Geng Yuan et al.2022 · 39 citationsarXiv
StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs.33587706 · Zhang, Tianyun, Ye, Shaokai, Feng, Xiaoyu et al.2022 · 46 citationsIEEE transactions on neural networks and learning systems. 2022;33(5):2259-2273
Reverse Engineering of Imperceptible Adversarial Image Perturbations2203.14145v2 · Yifan Gong, Yuguang Yao, Yize Li et al.2022 · 10 citationsarXiv
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration2111.11581v1 · Yifan Gong, Geng Yuan, Zheng Zhan et al.2021 · 10 citationsarXiv
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions2111.00153v1 · Sung-En Chang, Yanyu Li, Mengshu Sun et al.2021 · 8 citationsarXiv
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA2111.00155v1 · Sung-En Chang, Yanyu Li, Mengshu Sun et al.2021 · 1 citationarXiv
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge2110.14032v1 · Geng Yuan, Xiaolong Ma, Wei Niu et al.2021 · 52 citationsarXiv
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search2108.08910v2 · Zheng Zhan, Yifan Gong, Pu Zhao et al.2021 · 59 citationsarXiv
Editorial: Safe and Trustworthy Machine Learning.34423287 · Kailkhura, Bhavya, Chen, Pin-Yu, Lin, Xue et al.2021 · 0 citationsFrontiers in big data. 2021;4:731605
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search2106.14943v1 · Pu Zhao, Wei Niu, Geng Yuan et al.2021 · 0 citationsarXiv
High-Robustness, Low-Transferability Fingerprinting of Neural Networks2105.07078v1 · Siyue Wang, Xiao Wang, Pin-Yu Chen et al.2021 · 0 citationsarXiv
Career total: 262 works. 100 are in this corpus.Showing the 50 most recent.
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