Zhenglun Kong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
14
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICPR | Diff-StyGS: 3D Gaussian Splatting Stylization via Tuning-Free Multi-view Sparse Diffusion. | Yize Li, Lei Lu, Zhenglun Kong, Yanzhi Wang, Pu Zhao, Xue Lin |
| 2025 | AAAI | Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. | Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang |
| 2025 | ICASSP | RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. | Jun Liu, Zhenglun Kong, Peiyan Dong, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang |
| 2025 | ICCAD | Squat: Quant Small Language Models on the Edge. | Xuan Shen, Peiyan Dong, Zhenglun Kong, Yifan Gong, Changdi Yang, Zhaoyang Han, Yanyue Xie, Lei Lu, Cheng Lyu, Chao Wu, Yanzhi Wang, Pu Zhao |
| 2025 | ICLR | Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning. | Sheng Li, Qitao Tan, Yue Dai, Zhenglun Kong, Tianyu Wang, Jun Liu, Ao Li, Ninghao Liu, Yufei Ding, Xulong Tang, Geng Yuan |
| 2025 | ICLR | Sparse Learning for State Space Models on Mobile. | Xuan Shen, Hangyu Zheng, Yifan Gong, Zhenglun Kong, Changdi Yang, Zheng Zhan, Yushu Wu, Xue Lin, Yanzhi Wang, Pu Zhao, Wei Niu |
| 2025 | WACV | Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation. | Pinrui Yu, Zhenglun Kong, Pu Zhao, Peiyan Dong, Hao Tang, Fei Sun, Xue Lin, Yanzhi Wang |
| 2024 | AAAI | Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge. | Xuan Shen, Peiyan Dong, Lei Lu, Zhenglun Kong, Zhengang Li, Ming Lin, Chao Wu, Yanzhi Wang |
| 2024 | EMNLP | Rethinking Token Reduction for State Space Models. | Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang |
| 2024 | EMNLP | Pruning Foundation Models for High Accuracy without Retraining. | Pu Zhao, Fei Sun, Xuan Shen, Pinrui Yu, Zhenglun Kong, Yanzhi Wang, Xue Lin |
| 2024 | IJCAI | FasterVD: On Acceleration of Video Diffusion Models. | Pinrui Yu, Dan Luo, Timothy Rupprecht, Lei Lu, Zhenglun Kong, Pu Zhao, Yanyu Li, Octavia I. Camps, Xue Lin, Yanzhi Wang |
| 2024 | ICS | Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. | Zhengang Li, Alec Lu, Yanyue Xie, Zhenglun Kong, Mengshu Sun, Hao Tang, Zhong Jia Xue, Peiyan Dong, Caiwen Ding, Yanzhi Wang, Xue Lin, Zhenman Fang |
| 2023 | AAAI | Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. | Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang |
| 2023 | CVPR | You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model. | Shengkun Tang, Yaqing Wang, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang, Dongkuan Xu |
| 2023 | DAC | Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge. | Yifan Gong, Pu Zhao, Zheng Zhan, Yushu Wu, Chao Wu, Zhenglun Kong, Minghai Qin, Caiwen Ding, Yanzhi Wang |
| 2023 | DAC | Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge. | Changdi Yang, Yi Sheng, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin |
| 2023 | HPCA | HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. | Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang |
| 2023 | ICCAD | Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models. | Changdi Yang, Yi Sheng, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin, Yanzhi Wang |
| 2023 | ICML | SpeedDETR: Speed-aware Transformers for End-to-end Object Detection. | Peiyan Dong, Zhenglun Kong, Xin Meng, Peng Zhang, Hao Tang, Yanzhi Wang, Chih-Hsien Chou |
| 2023 | IJCAI | Data Level Lottery Ticket Hypothesis for Vision Transformers. | Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang |
| 2022 | ECCV | SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning. | Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang |
| 2022 | ECCV | You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. | Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li, Yushu Wu, Zhenglun Kong, Yanyue Xie, Peiyan Dong, Minghai Qin, Xiaolong Ma, Xulong Tang, Zhenman Fang, Yanzhi Wang |
| 2021 | CVPR | NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. | Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin |
| 2021 | ICCAD | Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization. | Panjie Qi, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Hongwu Peng, Shaoyi Huang, Zhenglun Kong, Yuhong Song, Bingbing Li |
| 2021 | IJCAI | A Compression-Compilation Framework for On-mobile Real-time BERT Applications. | Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang |
| 2020 | EMNLP | Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning. | Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding |