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Publication search results
found 186 matches
- 2024
- Tingyu Zhang, Wenyin Gong, Yanchi Li:
Multitask differential evolution with adaptive dual knowledge transfer. Appl. Soft Comput. 165: 112040 (2024) - Naimeng Liu, Meng Li, Huan Pang, Tian Tiantian, Xinyue Li, Yanchi Su, Minghua Jin, Hao Wu, Chuyue Qian, Mindan Sun:
Bioinformatics-driven discovery of silica nanoparticles induces apoptosis and renal damage via the unfolded protein response in NRK-52E cells and rat kidney. Comput. Biol. Medicine 168: 107816 (2024) - Heyi Li, Kaixuan Du, Yuanxin Bao, Yanchi Dong, Jiayoon Ru, Han Xiao, Hao Zhang, Zhixuan Wang, Yi Zhong, Linxiao Shen, Le Ye, Ru Huang:
A 0.39-mm2 Stacked Standard-CMOS Humidity Sensor Using a Charge-Redistribution Correlated Level Shifting Floating Inverter Amplifier and a VCO-Based Zoom CDC. IEEE J. Solid State Circuits 59(2): 435-448 (2024) - Wangjie Ji, Lili Bo, Yanchi Yuan, Xiaobing Sun:
TDFix: A lightweight tool for fixing deadlocks based on templates. Sci. Comput. Program. 233: 103073 (2024) - Tingyu Zhang, Dongcheng Li, Yanchi Li, Wenyin Gong:
Constrained multitasking optimization via co-evolution and domain adaptation. Swarm Evol. Comput. 87: 101570 (2024) - Yanchi Li, Wenyin Gong, Zhenzhen Hu, Shuijia Li:
A Competitive and Cooperative Evolutionary Framework for Ensemble of Constraint Handling Techniques. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2440-2451 (2024) - Yufei Li, Xiao Yu, Yanghong Guo, Yanchi Liu, Haifeng Chen, Cong Liu:
Distantly-Supervised Joint Extraction with Noise-Robust Learning. ACL (Findings) 2024: 10202-10217 - Yanchi Li, Wenyin Gong, Qiong Gu:
Transfer Search Directions Among Decomposed Subtasks for Evolutionary Multitasking in Multiobjective Optimization. GECCO 2024 - Yanchi Liu, Wanrong Han, Dihui Chu, Jianrun Zhang:
A Study of the Effects of Different Semantic Distance Icons on Drivers' Cognitive Load in Automotive Human-Machine Interface. HCI (50) 2024: 169-182 - Chen Ling, Xujiang Zhao, Xuchao Zhang, Wei Cheng, Yanchi Liu, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen:
Uncertainty Quantification for In-Context Learning of Large Language Models. NAACL-HLT 2024: 3357-3370 - Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen:
Pruning as a Domain-specific LLM Extractor. NAACL-HLT (Findings) 2024: 1417-1428 - Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu:
Untargeted Adversarial Attack on Knowledge Graph Embeddings. SIGIR 2024: 1701-1711 - Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Interpretable Imitation Learning with Dynamic Causal Relations. WSDM 2024: 967-975 - Chen Ling, Xujiang Zhao, Wei Cheng, Yanchi Liu, Yiyou Sun, Xuchao Zhang, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen:
Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models. CoRR abs/2402.10189 (2024) - Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen:
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. CoRR abs/2402.11441 (2024) - Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen:
Pruning as a Domain-specific LLM Extractor. CoRR abs/2405.06275 (2024) - Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu:
Untargeted Adversarial Attack on Knowledge Graph Embeddings. CoRR abs/2405.10970 (2024) - 2023
- Yanchi Li, Wenyin Gong, Shuijia Li:
Evolutionary competitive multitasking optimization via improved adaptive differential evolution. Expert Syst. Appl. 217: 119550 (2023) - Yanchi Li, Wenyin Gong, Shuijia Li:
Multitasking optimization via an adaptive solver multitasking evolutionary framework. Inf. Sci. 630: 688-712 (2023) - Zhenzhen Hu, Wenyin Gong, Witold Pedrycz, Yanchi Li:
Deep reinforcement learning assisted co-evolutionary differential evolution for constrained optimization. Swarm Evol. Comput. 83: 101387 (2023) - Yanchi Su, Haoran Zhu, Ka-Chun Wong, Yi Chang, Xiangtao Li:
Hyperspectral Image Denoising via Weighted Multidirectional Low-Rank Tensor Recovery. IEEE Trans. Cybern. 53(5): 2753-2766 (2023) - Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. ACM Trans. Knowl. Discov. Data 17(6): 80:1-80:22 (2023) - Yongjing Hao, Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Guanfeng Liu, Xiaofang Zhou:
Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 10112-10124 (2023) - Denghui Zhang, Yanchi Liu, Zixuan Yuan, Yanjie Fu, Haifeng Chen, Hui Xiong:
Multi-Faceted Knowledge-Driven Pre-Training for Product Representation Learning. IEEE Trans. Knowl. Data Eng. 35(7): 7239-7250 (2023) - Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou:
Quaternion-based graph convolution network for recommendation. World Wide Web (WWW) 26(5): 2835-2854 (2023) - Yue Cheng, Yanchi Su, Zhuohan Yu, Yanchun Liang, Ka-Chun Wong, Xiangtao Li:
Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics. AAAI 2023: 5036-5044 - Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Time Series Contrastive Learning with Information-Aware Augmentations. AAAI 2023: 4534-4542 - Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu:
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data. ACL (2) 2023: 1349-1358 - Dongxiao Jiang, Hailin Sun, Jiahua Lin, Jie Jiang, Xing Sun, Yanchi Li, Bocheng Xia, Siyuan Xiao, Yulong Liu:
Towards Dual Optimization of Efficiency and Accuracy: Hyper Billion Scale Model Computing Platform for Address Services. CSAI 2023: 388-395 - Yanchi Dong, Tianyu Jia, Kaixuan Du, Yiqi Jing, Qijun Wang, Pixian Zhan, Yadong Zhang, Fengyun Yan, Yufei Ma, Yun Liang, Le Ye, Ru Huang:
A Model-Specific End-to-End Design Methodology for Resource-Constrained TinyML Hardware. DAC 2023: 1-6
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