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Zemin Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
2020 – today
- 2025
- [j31]Canghong Jin
, Hao Ni, Feng Miao, Tongya Zheng
BARE: Balance representation for imbalance multi-class node classification on heterogeneous information networks. Expert Syst. Appl. 272: 126506 (2025) - [i24]Yongduo Sui, Jie Sun, Shuyao Wang, Zemin Liu, Qing Cui, Longfei Li, Xiang Wang:
A Unified Invariant Learning Framework for Graph Classification. CoRR abs/2501.12595 (2025) - [i23]Xiang Liu, Zhenheng Tang, Xia Li, Yijun Song, Sijie Ji, Zemin Liu, Bo Han, Linshan Jiang, Jialin Li:
One-shot Federated Learning Methods: A Practical Guide. CoRR abs/2502.09104 (2025) - [i22]Xiang Liu, Mingchen Li, Xia Li, Leigang Qu, Zifan Peng, Yijun Song, Zemin Liu, Linshan Jiang, Jialin Li:
Automatic Pruning via Structured Lasso with Class-wise Information. CoRR abs/2502.09125 (2025) - 2024
- [j30]Chong Hong
Wireless flow-powered miniature robot capable of traversing tubular structures. Sci. Robotics 9(88) (2024) - [j29]Qingsong Ai
Uncertainty Compensated High-Order Adaptive Iteration Learning Control for Robot-Assisted Upper Limb Rehabilitation. IEEE Trans Autom. Sci. Eng. 21(4): 7004-7015 (2024) - [j28]Zemin Liu
Human-Like Trajectory Planning Based on Postural Synergistic Kernelized Movement Primitives for Robot-Assisted Rehabilitation. IEEE Trans. Hum. Mach. Syst. 54(2): 152-161 (2024) - [j27]Zemin Liu
Locality-Aware Tail Node Embeddings on Homogeneous and Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. 36(6): 2517-2532 (2024) - [j26]Xingtong Yu
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs. IEEE Trans. Knowl. Data Eng. 36(11): 6237-6250 (2024) - [c65]Xingtong Yu, Yuan Fang, Zemin Liu, Xinming Zhang:
HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning. AAAI 2024: 16578-16586 - [c64]Yuqing Zhang, Baoyi He, Yihan Chen, Hangqi Li, Han Yue, Shengyu Zhang, Huaiyong Dou, Junchi Yan, Zemin Liu, Yongquan Zhang, Fei Wu:
PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study. EMNLP 2024: 2784-2801 - [c63]Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Rizal Fathony, Jun Hu, Jia Chen:
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision. ICLR 2024 - [c62]Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He:
EX-Graph: A Pioneering Dataset Bridging Ethereum and X. ICLR 2024 - [c61]Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen:
Partitioning Message Passing for Graph Fraud Detection. ICLR 2024 - [c60]Mouxiang Chen
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank. ICML 2024 - [c59]Fanwei Zhu
Dynamic Hotel Pricing at Online Travel Platforms: A Popularity and Competitiveness Aware Demand Learning Approach. KDD 2024: 4641-4651 - [c58]Longfei Ma, Yiyou Sun, Kaize Ding, Zemin Liu, Fei Wu:
Revisiting Score Propagation in Graph Out-of-Distribution Detection. NeurIPS 2024 - [c57]Long Li
Full-Attention Driven Graph Contrastive Learning: with Effective Mutual Information Insight. WWW 2024: 1069-1080 - [i21]Xingtong Yu, Yuan Fang, Zemin Liu, Yuxia Wu, Zhihao Wen, Jianyuan Bo, Xinming Zhang, Steven C. H. Hoi:
Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting. CoRR abs/2402.01440 (2024) - [i20]Qiheng Mao, Zemin Liu, Chenghao Liu, Zhuo Li, Jianling Sun:
Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques. CoRR abs/2402.05952 (2024) - [i19]Qian Wang, Zemin Liu, Zhen Zhang, Bingsheng He:
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes. CoRR abs/2402.13114 (2024) - [i18]Xiang Liu, Yijun Song, Xia Li, Yifei Sun, Huiying Lan, Zemin Liu, Linshan Jiang, Jialin Li:
ED-ViT: Splitting Vision Transformer for Distributed Inference on Edge Devices. CoRR abs/2410.11650 (2024) - [i17]Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen:
Partitioning Message Passing for Graph Fraud Detection. CoRR abs/2412.00020 (2024) - 2023
- [j25]Qiuhu Gong, Fahui Wu, Dingcheng Yang, Lin Xiao, Zemin Liu:
3D Radio Map Reconstruction and Trajectory Optimization for Cellular-Connected UAVs. J. Commun. Inf. Networks 8(4): 357-368 (2023) - [j24]Qingsong Ai
Machine Learning in Robot-Assisted Upper Limb Rehabilitation: A Focused Review. IEEE Trans. Cogn. Dev. Syst. 15(4): 2053-2063 (2023) - [j23]Zemin Liu
Neighbor-Anchoring Adversarial Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(1): 784-795 (2023) - [c56]Zemin Liu, Trung-Kien Nguyen, Yuan Fang:
On Generalized Degree Fairness in Graph Neural Networks. AAAI 2023: 4525-4533 - [c55]Xingtong Yu
Learning to Count Isomorphisms with Graph Neural Networks. AAAI 2023: 4845-4853 - [c54]Zemin Liu, Mingming Bai, Jiacheng He, Xiufang Shi, Jinming Xu:
Accurate and Robust State Estimation via Fusion of Visual-Inertial-UWB with Time Synchronization. IECON 2023: 1-7 - [c53]Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He:
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis. NeurIPS 2023 - [c52]Weibin Cai
HeteroCS: A Heterogeneous Community Search System With Semantic Explanation. SIGIR 2023: 3155-3159 - [c51]Junfeng Fang
Cooperative Explanations of Graph Neural Networks. WSDM 2023: 616-624 - [c50]Trung-Kien Nguyen
Link Prediction on Latent Heterogeneous Graphs. WWW 2023: 263-273 - [c49]Zemin Liu
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks. WWW 2023: 417-428 - [c48]Qiheng Mao
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer. WWW 2023: 599-610 - [i16]Xingtong Yu, Zemin Liu, Yuan Fang
Learning to Count Isomorphisms with Graph Neural Networks. CoRR abs/2302.03266 (2023) - [i15]Zemin Liu, Trung-Kien Nguyen, Yuan Fang
On Generalized Degree Fairness in Graph Neural Networks. CoRR abs/2302.03881 (2023) - [i14]Zemin Liu, Xingtong Yu, Yuan Fang, Xinming Zhang:
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks. CoRR abs/2302.08043 (2023) - [i13]Trung-Kien Nguyen, Zemin Liu, Yuan Fang:
Link Prediction on Latent Heterogeneous Graphs. CoRR abs/2302.10432 (2023) - [i12]Qiheng Mao, Zemin Liu, Chenghao Liu, Jianling Sun:
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer. CoRR abs/2302.11329 (2023) - [i11]Zemin Liu, Yuan Li, Nan Chen, Qian Wang, Bryan Hooi, Bingsheng He:
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions. CoRR abs/2308.13821 (2023) - [i10]Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun:
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank. CoRR abs/2309.15560 (2023) - [i9]Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He:
ETGraph: A Pioneering Dataset Bridging Ethereum and Twitter. CoRR abs/2310.01015 (2023) - [i8]Mouxiang Chen
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt. CoRR abs/2310.14845 (2023) - [i7]Xingtong Yu, Zhenghao Liu, Yuan Fang, Zemin Liu, Sihong Chen, Xinming Zhang:
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs. CoRR abs/2311.15317 (2023) - [i6]Xingtong Yu, Yuan Fang, Zemin Liu, Xinming Zhang:
HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning. CoRR abs/2312.01878 (2023) - 2022
- [j22]Wentao Zhang
mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations via Metagraph Embedding. IEEE Trans. Knowl. Data Eng. 34(3): 1317-1329 (2022) - [c47]Fanwei Zhu, Wendong Xiao
Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic Pricing. CIKM 2022: 4742-4746 - [c46]Zemin Liu, Yuan Fang
Neighbor-Anchoring Adversarial Graph Neural Networks (Extended Abstract). ICDE 2022: 1571-1572 - [c45]Mouxiang Chen
Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank. KDD 2022: 136-145 - [c44]Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun:
LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank. NeurIPS 2022 - [c43]Wufei Wu, Bo Fan, Yulei He, Wenbo Li, Wenbin Li, Zemin Liu, Wenbo Wan, Yong Xie:
Design of Autonomous Driving Verification Platform Based on Udacity Vehicle Simulator. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 732-738 - [c42]Zemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang
On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks. WWW 2022: 1506-1516 - [i5]Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun:
Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank. CoRR abs/2206.01702 (2022) - [i4]Fanwei Zhu, Wendong Xiao, Yao Yu, Ziyi Wang, Zulong Chen, Quan Lu, Zemin Liu, Minghui Wu, Shenghua Ni:
Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic Pricing. CoRR abs/2208.03135 (2022) - 2021
- [j21]Canghong Jin
How do you visit: Identifying addicts from large-scale transit records via scenario deep embedding. GeoInformatica 25(4): 799-820 (2021) - [j20]Jiachen Zhang
Voxelated three-dimensional miniature magnetic soft machines via multimaterial heterogeneous assembly. Sci. Robotics 6(53): 0112 (2021) - [c41]Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi:
Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph. AAAI 2021: 4267-4275 - [c40]Zemin Liu, Yuan Fang
Node-wise Localization of Graph Neural Networks. IJCAI 2021: 1520-1526 - [c39]Zemin Liu, Trung-Kien Nguyen, Yuan Fang:
Tail-GNN: Tail-Node Graph Neural Networks. KDD 2021: 1109-1119 - [c38]Xuanqi Yu, Wei Meng
Multi-objective Trajectory Optimization of Redundant Manipulator for Patient Assistance. M2VIP 2021: 66-71 - [c37]Zhihao Wen, Yuan Fang
Meta-Inductive Node Classification across Graphs. SIGIR 2021: 1219-1228 - [i3]Zhihao Wen, Yuan Fang, Zemin Liu:
Meta-Inductive Node Classification across Graphs. CoRR abs/2105.06725 (2021) - [i2]Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi:
Node-wise Localization of Graph Neural Networks. CoRR abs/2110.14322 (2021) - 2020
- [j19]Canghong Jin
S2N2: An Interpretive Semantic Structure Attention Neural Network for Trajectory Classification. IEEE Access 8: 58763-58773 (2020) - [j18]Yu-Pin Hsu
A 12.3-μW 0.72-mm² Fully Integrated Front-End IC for Arterial Pulse Waveform and ExG Recording. IEEE J. Solid State Circuits 55(10): 2756-2770 (2020) - [j17]Zemin Liu
A 1 mm-Thick Miniatured Mobile Soft Robot With Mechanosensation and Multimodal Locomotion. IEEE Robotics Autom. Lett. 5(2): 3291-3298 (2020) - [j16]Yu-Pin Hsu
A -68 dB THD, 0.6 mm2 Active Area Biosignal Acquisition System With a 40-320 Hz Duty-Cycle Controlled Filter. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(1): 48-59 (2020) - [j15]Zemin Liu
A Thermal/RF Hybrid Energy Harvesting System With Rectifying-Combination and Improved Fractional-OCV MPPT Method. IEEE Trans. Circuits Syst. 67-I(10): 3352-3363 (2020) - [c36]Zemin Liu, Wentao Zhang, Yuan Fang
Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks. CIKM 2020: 975-984
2010 – 2019
- 2019
- [j14]Zheyuan Gong, Bohan Chen, Jiaqi Liu, Xi Fang, Zemin Liu, Tianmiao Wang, Li Wen:
An Opposite-Bending-and-Extension Soft Robotic Manipulator for Delicate Grasping in Shallow Water. Frontiers Robotics AI 6: 26 (2019) - [c35]Zemin Liu, Qingsong Ai, Yaojie Liu, Jie Zuo, Xiong Zhang, Wei Meng
An Optimal Motion Planning Method of 7-DOF Robotic Arm for Upper Limb Movement Assistance. AIM 2019: 277-282 - [c34]Yu-Pin Hsu, Zemin Liu, Mona Mostafa Hella:
A 10 $\mu \mathrm{W}-74.6\mathrm{dB}$ THD Arterial Pulse Waveform Sensing System with Automatic Bridge-Offset Calibration and Super Class-AB Output Stage. A-SSCC 2019: 297-300 - [c33]Xiong Zhang, Jiwei Hu, Zemin Liu:
Fuzzy Adaptive Internal Model Control for a Pneumatic Muscle Actuator. ICMLC 2019: 546-550 - [c32]Zemin Liu, Yu-Pin Hsu, Mona Mostafa Hella:
An Improved OCV-Based MPPT Method Targeting Higher Average Efficiency in Thermal/Solar Energy Harvesters. MWSCAS 2019: 279-282 - [c31]Xi Fang, Zemin Liu, Yufei Hao, Hui Yang, Jiaqi Liu, Zhexin Xie, Li Wen:
A Soft Actuator with Tunable Mechanical Configurations for Object Grasping Based on Sensory Feedback. RoboSoft 2019: 25-30 - 2018
- [j13]Yu-Pin Hsu
A 1.8 µW -65 dB THD ECG Acquisition Front-End IC Using a Bandpass Instrumentation Amplifier With Class-AB Output Configuration. IEEE Trans. Circuits Syst. II Express Briefs 65-II(12): 1859-1863 (2018) - [j12]Zemin Liu
An RF-DC Converter IC With On-Chip Adaptive Impedance Matching and 307- μW Peak Output Power for Health Monitoring Applications. IEEE Trans. Very Large Scale Integr. Syst. 26(8): 1565-1574 (2018) - [c30]Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying:
Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs. AAAI 2018: 2355-2362 - [c29]Yufei Hao, Zemin Liu, Zhexin Xie, Xi Fang, Tianmiao Wang, Li Wen:
A Variable Degree-of-Freedom and Self-Sensing Soft Bending Actuator Based on Conductive Liquid Metal and Thermoplastic Polymer Composites. IROS 2018: 1-9 - [c28]Zemin Liu, Vincent W. Zheng, Zhou Zhao, Zhao Li, Hongxia Yang, Minghui Wu
Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs. KDD 2018: 1860-1869 - [c27]Zemin Liu, Vincent W. Zheng, Zhou Zhao, Hongxia Yang, Kevin Chen-Chuan Chang, Minghui Wu
Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network. WWW 2018: 1613-1622 - 2017
- [j11]Zhengguo Zhu, Mingxing He, Rongqi Liu, Zemin Liu:
应用于认知无线电频谱预测的小波神经网络模型 (Wavelet Neural Network Model for Cognitive Radio Spectrum Prediction). 计算机科学 44(12): 86-89 (2017) - [j10]Xingbang Yang
A biorobotic adhesive disc for underwater hitchhiking inspired by the remora suckerfish. Sci. Robotics 2(10) (2017) - [c26]Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying:
Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding. AAAI 2017: 154-160 - [c25]Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang:
Topological Recurrent Neural Network for Diffusion Prediction. ICDM 2017: 475-484 - [i1]Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang:
Topological Recurrent Neural Network for Diffusion Prediction. CoRR abs/1711.10162 (2017) - 2016
- [c24]Yu-Pin Hsu, Zemin Liu, Mona Mostafa Hella:
An ultra low-power front-end IC for wearable health monitoring system. EMBC 2016: 1906-1909 - [c23]Zemin Liu, Yu-Pin Hsu, Mona Mostafa Hella:
An RF powering system with adaptive impedance matching for individual health monitoring applications. EMBC 2016: 4983-4986 - [c22]Yu-Pin Hsu, Zemin Liu, Mona Mostafa Hella:
A low-power adjustable bandwidth biomedical signals acquisition SoC for continuous health monitoring system. ISCAS 2016: 1538-1541 - 2014
- [j9]Zemin Liu, Wei Zong:
Complicated Graphics Model based on Neural Network of Particle Swarm. J. Multim. 9(3): 333-339 (2014) - [j8]Zemin Liu, Wei Zong:
Image Retrieval via Relevance Vector Machine with Multiple Features. J. Multim. 9(5): 676-681 (2014) - 2013
- [j7]Zemin Liu, Wei Zong:
Image Classification Optimization Algorithm based on SVM. J. Multim. 8(5): 496-502 (2013) - 2011
- [j6]Xin Nie, Jianhua Zhang, Zemin Liu, Ping Zhang:
Experimental investigation of MIMO relay channels statistics and capacity based on wideband outdoor measurements at 2.35 GHz. Sci. China Inf. Sci. 54(9): 1945-1956 (2011) - 2010
- [j5]Yi Liu, Jianhua Zhang, Wei Xu, Zemin Liu:
Statistical assessment of selection-based dual-hop semi-blind amplify-and-forward cooperative networks. J. Zhejiang Univ. Sci. C 11(10): 785-792 (2010) - [c21]Yi Liu, Jianhua Zhang, Xiaofan Li, Zemin Liu:
Cooperative Beamforming Based Selection and Power Allocation for Relay Networks. VTC Fall 2010: 1-5 - [c20]Jingqun Song, Jiantao Xue, Zhiyong Feng, Ping Zhang, Zemin Liu:
Optimal Cooperative Spectrum Sensing Strategies in Cognitive Radio Networks. VTC Spring 2010: 1-6 - [c19]Xin Nie, Jianhua Zhang, Zemin Liu, Ping Zhang, Zhiyong Feng:
Experimental Investigation of MIMO Relay Transmission Based on Wideband Outdoor Measurements at 2.35 GHz. WCNC 2010: 1-6 - [c18]Jingqun Song, Zhiyong Feng, Dian Fan, Jiantao Xue, Zemin Liu:
Optimal Parameters for Cooperative Spectrum Sensing in Cognitive Radio Systems. WCNC 2010: 1-5
2000 – 2009
- 2009
- [j4]Yi Wang, Lihua Li, Ping Zhang, Zemin Liu:
DFT-Based Channel Estimation with Symmetric Extension for OFDMA Systems. EURASIP J. Wirel. Commun. Netw. 2009 (2009) - [j3]Yi Wang, Lihua Li, Ping Zhang, Zemin Liu, Ping Wu:
Blind Maximum Doppler Frequency Estimation for OFDM Based Communication Systems. IEICE Trans. Commun. 92-B(6): 2295-2297 (2009) - 2008
- [c17]Yuhan Jin, Hui Tian, Zemin Liu:
Decentralized Approach for Distributed Service Environments. CCNC 2008: 1144-1148 - [c16]Xin Nie, Jianhua Zhang, Yu Zhang, Guangyi Liu, Zemin Liu:
An Experimental Investigation of Wideband MIMO Channel Based on Indoor Hotspot NLOS Measurements at 2.35GHz. GLOBECOM 2008: 3964-3968 - [c15]Yi Wang, Lihua Li, Ping Zhang, Zemin Liu:
Optimal Threshold for Channel Estimation in MIMO-OFDM System. ICC 2008: 4376-4380 - [c14]Yuhan Jin, Hui Tian, Zemin Liu:
An Optimal Satisfaction Model for Universal Service Terminal System. VTC Fall 2008: 1-5 - 2007
- [c13]Yi Wang, Lihua Li, Ping Zhang, Zemin Liu, Mingyu Zhou:
A New Noise Variance Estimation Algorithm for Multiuser OFDM Systems. PIMRC 2007: 1-4 - 2002
- [c12]Yuping Yan, Zemin Liu:
Space-time blind adaptive multiuser detection in antenna array CDMA systems. ISCAS (1) 2002: 185-188 - [c11]Yuping Yan, Zemin Liu:
A new blind signature waveform estimation approach in antenna array CDMA systems. ISCAS (1) 2002: 681-684 - 2000
- [j2]Gang Lin, Zemin Liu:
The application of multiwavelet transform to image coding. IEEE Trans. Image Process. 9(2): 270-273 (2000) - [c10]Lianyuan Li, Zemin Liu, Zheng Zhou:
A Hopfield Neural Network Flow Classifier in IP Switching. IJCNN (5) 2000: 398-404
1990 – 1999
- 1999
- [c9]Gang Lin, Zemin Liu:
The application of multiwavelet transform to image coding. ICECS 1999: 445-448 - [c8]Shenghong Li, Zemin Liu:
A general CAC approach using novel ant algorithm training based neural network. IJCNN 1999: 1885-1888 - [c7]Liang Zhang, Zemin Liu:
A dynamic neural estimator for admission control in ATM network. IJCNN 1999: 3474-3477 - [c6]Gang Lin, Zemin Liu:
3D wavelet video codec and its rate control in ATM network. ISCAS (4) 1999: 447-450 - 1997
- [c5]Hua Nan, Zemin Liu:
Neural network-based real-time dynamic nonhierarchical network routing for B-ISDN. ICNN 1997: 153-156 - [c4]Zhifeng Jiang, Zemin Liu, Feng Lu:
An optimizing FAMLB rules algorithm for traffic control in ATM communication networks. ICNN 1997: 462-466 - 1996
- [c3]Long Zhao, Zemin Liu:
A genetic algorithm for reinforcement learning. ICNN 1996: 1056-1060 - [c2]Qilian Liang, Zheng Zhou, Zemin Liu:
A new approach to global minimum and its applications in blind equalization. ICNN 1996: 2113-2117 - 1995
- [j1]Xiaozhong Li, Shuo Bai, Zemin Liu:
An Algorithm for Self-Learning and Self-Completing Fuzzy Control Rules. Informatica (Slovenia) 19(3) (1995) - [c1]Long Zhao, Zemin Liu:
Reinforcement learning method for DEDS supervision. ICNN 1995: 339-344
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