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2020 – today
- 2025
[j7]Qihua Huang, Jie Ou, Xiumei Deng
:
On a nonautonomous nonlinear model for cell growth and division. Appl. Math. Lett. 166: 109528 (2025)- [j6]Shunyu Yao, Jinyu Guo, Jijie Li, Jie Ou, Yufei Feng, Jie Hu, Dan Liu:
Adversarial hard negative samples for continual relation extraction. Appl. Soft Comput. 181: 113365 (2025) - [j5]Jiahui Zhong, Wenhong Tian, Yuanlun Xie, Zhijia Liu, Jie Ou, Taoran Tian, Lei Zhang:
PMFSNet: Polarized multi-scale feature self-attention network for lightweight medical image segmentation. Comput. Methods Programs Biomed. 261: 108611 (2025) - [j4]Jie Ou, Yueming Chen, Buyao Xiong, Zhaokun Wang, Wenhong Tian:
Accelerating Mixture-of-Experts language model inference via plug-and-play lookahead gate on a single GPU. Comput. Stand. Interfaces 94: 103996 (2025) - [j3]Yuanlun Xie, Jie Ou, Jiahui Zhong, Tianxiang Jiang, Tingsong Ma:
Multi-scale feedback residual network for image super-resolution. Signal Image Video Process. 19(8): 635 (2025) - [c18]Jinyu Guo, Xunlei Chen, Qiyang Xia, Zhaokun Wang, Jie Ou, Libo Qin, Shunyu Yao, Wenhong Tian:
HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation. ACL (Findings) 2025: 26847-26858 - [c17]Jie Ou, Jinyu Guo, Shuaihong Jiang, Zhaokun Wang, Libo Qin, Shunyu Yao, Wenhong Tian:
Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps. ACL (Findings) 2025: 26983-27000 - [c16]Jie Ou, Yueming Chen, Shuaihong Jiang, Wenhong Tian:
Enhancing Large Language Model Inference Efficiency via Lookahead Cache Filtering. ICASSP 2025: 1-5 - [c15]Hourui Deng, Hongjie Zhang, Jie Ou, Chaosheng Feng:
Can LLM Be a Good Path Planner Based on Prompt Engineering? Mitigating the Hallucination for Path Planning. ICIC (23) 2025: 3-15 - [c14]Jie Ou, Jinyu Guo, Yueming Chen, Shuaihong Jiang, Ruini Xue, Wenhong Tian:
A Neural Network-Based Pipeline Parallel Strategy Solver for Heterogeneous Environments. IJCNN 2025: 1-9 - [c13]Jie Ou, Jinyu Guo, Shuaihong Jiang, Zhaokun Wang, Yueming Chen, Ruini Xue, Wenhong Tian:
Low-Rank Decomposition Assisted Quantization and Inference Compensation for Quality Large Language Model Inference. IJCNN 2025: 1-9 - [i15]Jie Ou, Jinyu Guo, Shuaihong Jiang, Zhaokun Wang, Libo Qin, Shunyu Yao, Wenhong Tian:
Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps. CoRR abs/2505.12731 (2025) - [i14]Jinyu Guo, Xunlei Chen, Qiyang Xia, Zhaokun Wang, Jie Ou, Libo Qin, Shunyu Yao, Wenhong Tian:
HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation. CoRR abs/2505.16133 (2025) - [i13]Zhaokun Wang, Jinyu Guo, Jingwen Pu, Lingfeng Chen, Hongli Pu, Jie Ou, Libo Qin, Wenhong Tian:
Noise-Robustness Through Noise: Asymmetric LoRA Adaption with Poisoning Expert. CoRR abs/2505.23868 (2025) - [i12]Mingrui Lv, Hangzhi Liu, Zhi Luo, Hongjie Zhang, Jie Ou:
PolicyEvolve: Evolving Programmatic Policies by LLMs for multi-player games via Population-Based Training. CoRR abs/2509.06053 (2025) - [i11]Dingyi Zuo, Hongjie Zhang, Jie Ou, Chaosheng Feng, Shuwan Liu:
MTOS: A LLM-Driven Multi-topic Opinion Simulation Framework for Exploring Echo Chamber Dynamics. CoRR abs/2510.12423 (2025) - 2024
- [j2]Sana Ullah, Jie Ou, Yuanlun Xie, Wenhong Tian:
Compound facial expressions recognition approach using DCGAN and CNN. Multim. Tools Appl. 83(38): 85703-85723 (2024) - [j1]Sana Ullah, Jie Ou, Yuanlun Xie, Wenhong Tian:
Facial expression recognition (FER) survey: a vision, architectural elements, and future directions. PeerJ Comput. Sci. 10: e2024 (2024) - [c12]Haocheng Lan, Jie Ou, Zhaokun Wang, Wenhong Tian:
Improving Chinese Emotion Classification Based on Bilingual Feature Fusion. ICPR (31) 2024: 139-153 - [c11]Jie Ou, Yueming Chen, Wenhong Tian:
Lossless Acceleration of Large Language Model via Adaptive N-gram Parallel Decoding. NAACL (Industry Track) 2024: 10-22 - [c10]Yifei Gao, Jie Ou, Lei Wang, Yuting Xiao, Xiangzhiyuan Xiangzhiyuan, Ruiting Dai, Jun Cheng:
Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other. NAACL-HLT (Findings) 2024: 2711-2722 - [c9]Zhaokun Wang, Yuanlun Xie, Jie Ou, Jiahui Zhong, Wenhong Tian:
A Supervised Domain Adaptation Method with Alignment Regularization for Low-Light Facial Expression Recognition. PRCV (3) 2024: 59-73 - [i10]Jiahui Zhong, Wenhong Tian, Yuanlun Xie, Zhijia Liu, Jie Ou, Taoran Tian, Lei Zhang:
PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image Segmentation. CoRR abs/2401.07579 (2024) - [i9]Jie Ou, Xu Li, Tianxiang Jiang, Yuanlun Xie:
Dynamic Resolution Guidance for Facial Expression Recognition. CoRR abs/2404.06365 (2024) - [i8]Jie Ou, Yueming Chen, Wenhong Tian:
Lossless Acceleration of Large Language Model via Adaptive N-gram Parallel Decoding. CoRR abs/2404.08698 (2024) - [i7]Yifei Gao, Jie Ou, Lei Wang, Jun Cheng:
Bootstrap 3D Reconstructed Scenes from 3D Gaussian Splatting. CoRR abs/2404.18669 (2024) - [i6]Yifei Gao, Jie Ou, Lei Wang, Yuting Xiao, Zhiyuan Xiang, Ruiting Dai, Jun Cheng:
Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other. CoRR abs/2406.16299 (2024) - [i5]Yifei Gao, Jie Ou, Lei Wang, Fanhua Shang, Jaji Wu, Jun Cheng:
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners. CoRR abs/2407.15508 (2024) - [i4]Hourui Deng, Hongjie Zhang, Jie Ou, Chaosheng Feng:
Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning. CoRR abs/2408.13184 (2024) - [i3]Junchi Yao, Hongjie Zhang, Jie Ou, Dingyi Zuo, Zheng Yang, Zhicheng Dong:
Fusing Dynamics Equation: A Social Opinions Prediction Algorithm with LLM-based Agents. CoRR abs/2409.08717 (2024) - 2022
- [c8]Jie Ou:
Exploring Learning Engagement of Higher Vocational College Students in MALL. ICWL 2022: 385-394 - 2021
- [c7]Jie Ou, Hongqing Liu, Yi Zhou, Lu Gan:
Robust Sound Event Detection by a Two-Stage Network in the Presence of Background Noise. ChinaCom 2021: 452-462 - [c6]Chenwei Liu, Jie Ou:
Smart Sampling for Efficient System Level Test: A Robust Machine Learning Approach. ITC 2021: 53-62 - [c5]Chenwei Liu, Jie Ou:
Use Machine Learning Based Smart Sampling to Improve System Level Testing Efficiency. ITC-Asia 2021: 1-6 - [i2]Jie Ou, Mingjian Chen, Hong Wu:
Full-Resolution Encoder-Decoder Networks with Multi-Scale Feature Fusion for Human Pose Estimation. CoRR abs/2106.00566 (2021) - 2020
- [c4]Jie Ou, Xinying Zhang:
Attention Enhanced Single Stage Multimodal Reasoner. ECCV Workshops (2) 2020: 51-61 - [c3]Jie Ou, Mingjian Chen, Hong Wu:
Full-resolution encoder-decoder networks with multi-scale feature fusion for human pose estimation. MMAsia 2020: 29:1-29:6 - [c2]Jie Ou, Hong Wu:
Efficient Human Pose Estimation with Depthwise Separable Convolution and Person Centroid Guided Joint Grouping. PRCV (2) 2020: 626-638 - [i1]Jie Ou, Hong Wu:
Efficient Human Pose Estimation with Depthwise Separable Convolution and Person Centroid Guided Joint Grouping. CoRR abs/2012.03316 (2020)
2000 – 2009
- 2001
- [c1]Jie Ou, Shouxun Lin, Jintao Li:
The Personalized Index Service System in Digital Library. CODAS 2001: 97-106
Coauthor Index
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