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Zhen Tan
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2020 – today
- 2024
- [j38]Zhibin Zhu, Xiaowen Zhu, Zhen Tan:
An accelerated conjugate gradient method with adaptive two-parameter with applications in image restoration. Comput. Appl. Math. 43(3): 116 (2024) - [j37]Zhen Tan, Guanqi Fu:
Just-in-time scheduling problem with affine idleness cost. Eur. J. Oper. Res. 313(3): 954-976 (2024) - [j36]Pengfei Zhang, Dong Chen, Yang Fang, Weidong Xiao, Xiang Zhao, Zhen Tan, Rui Wang:
A knowledge graphs representation method based on IsA relation modeling. Expert Syst. Appl. 254: 124468 (2024) - [j35]Chunyun Meng, Ernest Domanaanmwi Ganaa, Bin Wu, Zhen Tan, Li Luan:
Anti-occlusion person re-identification via body topology information restoration and similarity evaluation. IET Comput. Vis. 18(3): 393-404 (2024) - [j34]Nannan Lu, Zhen Tan, Jiansheng Qian:
MRSLN: A Multimodal Residual Speaker-LSTM Network to alleviate the over-smoothing issue for Emotion Recognition in Conversation. Neurocomputing 580: 127467 (2024) - [j33]Shuai Zhao, Yilu Zheng, Jinghao Li, Xiaoqian Zhang, Chunlin Tang, Zhen Tan:
Pure kernel graph fusion tensor subspace clustering under non-negative matrix factorization framework. Inf. Process. Manag. 61(2): 103603 (2024) - [j32]Zongqiang Yang, Junbo Fei, Zhen Tan, Jiuyang Tang, Xiang Zhao:
CL&CD: Contrastive Learning and Cluster Description for Zero-Shot Relation Extraction. Knowl. Based Syst. 293: 111652 (2024) - [j31]Fan Liu, Zhen Tan, Hing Kai Chan, Liang Zheng:
Ramp Metering Control on Wireless Charging Lanes Considering Optimal Traffic and Charging Efficiencies. IEEE Trans. Intell. Transp. Syst. 25(9): 11590-11601 (2024) - [c50]Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu:
Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. AAAI 2024: 21619-21627 - [c49]Ying Li, Jierong Tang, Junreng Rao, Yuhan Wang, Le Li, Zhen Tan, Weidong Xiao:
Machine Learning-based Composition Analysis of Ancient Glass Objects. AIEE 2024: 9-19 - [c48]Jianhua Xiao, Zhen Tan, Zhi Yin, Rongwei Liu, Xuezhi Fang, Jiangshun Yu, Yun Cai:
Multi-dimensional Coupling Hydrodynamic Model for Simulating and Forecasting Mountain Torrents. CAIBDA 2024: 562-567 - [c47]Shiqi Zhang, Weixin Zeng, Zhen Tan, Xiang Zhao, Weidong Xiao:
M3: A Multi-Image Multi-Modal Entity Alignment Dataset. CIKM 2024: 5415-5419 - [c46]Peixin Huang, Xiang Zhao, Minghao Hu, Zhen Tan, Weidong Xiao:
Distill, Fuse, Pre-train: Towards Effective Event Causality Identification with Commonsense-Aware Pre-trained Model. LREC/COLING 2024: 5029-5040 - [c45]Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu:
Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. DSAA 2024: 1-10 - [c44]Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu:
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. DSAA 2024: 1-10 - [c43]Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu:
Contextualization Distillation from Large Language Model for Knowledge Graph Completion. EACL (Findings) 2024: 458-477 - [c42]Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong:
Facial Affective Behavior Analysis with Instruction Tuning. ECCV (18) 2024: 165-186 - [c41]Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu:
Large Language Models for Data Annotation and Synthesis: A Survey. EMNLP 2024: 930-957 - [c40]Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu:
Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. EMNLP 2024: 1610-1626 - [c39]Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen:
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. EMNLP (Findings) 2024: 2187-2205 - [c38]Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng:
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract]. ICDE 2024: 5741-5742 - [c37]Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu:
Interpreting Pretrained Language Models via Concept Bottlenecks. PAKDD (3) 2024: 56-74 - [c36]Bo Yuan, Yulin Chen, Zhen Tan, Jinyan Wang, Huan Liu, Yin Zhang:
Label Distribution Learning-Enhanced Dual-KNN for Text Classification. SDM 2024: 400-408 - [c35]Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu:
Disinformation Detection: An Evolving Challenge in the Age of LLMs. SDM 2024: 427-435 - [c34]Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding:
Thought Graph: Generating Thought Process for Biological Reasoning. WWW (Companion Volume) 2024: 537-540 - [i34]Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu:
Contextualization Distillation from Large Language Model for Knowledge Graph Completion. CoRR abs/2402.01729 (2024) - [i33]Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu:
Large Language Models for Data Annotation: A Survey. CoRR abs/2402.13446 (2024) - [i32]Lichi Li, Zainul Abi Din, Zhen Tan, Sam London, Tianlong Chen, Ajay H. Daptardar:
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems. CoRR abs/2402.14230 (2024) - [i31]Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Yu Kong, Tianlong Chen, Huan Liu:
The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative. CoRR abs/2402.14859 (2024) - [i30]Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li:
GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations. CoRR abs/2403.01071 (2024) - [i29]Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu:
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. CoRR abs/2403.04009 (2024) - [i28]Zhen Tan, Jie Peng, Tianlong Chen, Huan Liu:
Tuning-Free Accountable Intervention for LLM Deployment - A Metacognitive Approach. CoRR abs/2403.05636 (2024) - [i27]Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding:
Thought Graph: Generating Thought Process for Biological Reasoning. CoRR abs/2403.07144 (2024) - [i26]Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong:
Facial Affective Behavior Analysis with Instruction Tuning. CoRR abs/2404.05052 (2024) - [i25]Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen:
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. CoRR abs/2405.04819 (2024) - [i24]Zhen Tan, Zongtan Zhou, Yangbing Ge, Zi Wang, Xieyuanli Chen, Dewen Hu:
TD-NeRF: Novel Truncated Depth Prior for Joint Camera Pose and Neural Radiance Field Optimization. CoRR abs/2405.07027 (2024) - [i23]Bohan Jiang, Chengshuai Zhao, Zhen Tan, Huan Liu:
Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models. CoRR abs/2406.17992 (2024) - [i22]Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu:
"Glue pizza and eat rocks" - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. CoRR abs/2406.19417 (2024) - [i21]Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li:
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. CoRR abs/2407.02408 (2024) - [i20]Zhen Tan, Daize Dong, Xinyu Zhao, Jie Peng, Yu Cheng, Tianlong Chen:
DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs. CoRR abs/2407.11030 (2024) - [i19]Ujun Jeong, Bohan Jiang, Zhen Tan, H. Russell Bernard, Huan Liu:
BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social. CoRR abs/2407.17451 (2024) - [i18]Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu:
Model Attribution in Machine-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. CoRR abs/2407.21264 (2024) - [i17]Dawei Li, Zhen Tan, Huan Liu:
Exploring Large Language Models for Feature Selection: A Data-centric Perspective. CoRR abs/2408.12025 (2024) - [i16]Zhongyan Niu, Zhen Tan, Jinpu Zhang, Xueliang Yang, Dewen Hu:
HGSLoc: 3DGS-based Heuristic Camera Pose Refinement. CoRR abs/2409.10925 (2024) - [i15]Jiaxiong Liu, Bo Wang, Zhen Tan, Jinpu Zhang, Hui Shen, Dewen Hu:
Tracking Any Point with Frame-Event Fusion Network at High Frame Rate. CoRR abs/2409.11953 (2024) - [i14]Joseph Lee, Shu Yang, Jae Young Baik, Xiaoxi Liu, Zhen Tan, Dawei Li, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Li Shen:
Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models. CoRR abs/2410.01795 (2024) - [i13]Lijie Hu, Liang Liu, Shu Yang, Xin Chen, Zhen Tan, Muhammad Asif Ali, Mengdi Li, Di Wang:
Understanding Reasoning in Chain-of-Thought from the Hopfieldian View. CoRR abs/2410.03595 (2024) - [i12]Alimohammad Beigi, Bohan Jiang, Dawei Li, Tharindu Kumarage, Zhen Tan, Pouya Shaeri, Huan Liu:
LRQ-Fact: LLM-Generated Relevant Questions for Multimodal Fact-Checking. CoRR abs/2410.04616 (2024) - 2023
- [j30]Li Liu, Weixin Zeng, Zhen Tan, Weidong Xiao, Xiang Zhao:
Node Importance Estimation with Multiview Contrastive Representation Learning. Int. J. Intell. Syst. 2023: 1-13 (2023) - [j29]Liang Tang, Huanying Han, Zhen Tan, Ke Jing:
Centralized collaborative production scheduling with evaluation of a practical order-merging strategy. Int. J. Prod. Res. 61(1): 282-301 (2023) - [j28]Yang Fang, Zhen Tan, Ziyang Chen, Weidong Xiao, Lingling Zhang, Feng Tian:
Contrastive Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation. Int. J. Softw. Informatics 13(4): 469-488 (2023) - [j27]Jinghao Li, Xiaoqian Zhang, Jing Wang, Xiao Wang, Zhen Tan, Huaijiang Sun:
Projection-based coupled tensor learning for robust multi-view clustering. Inf. Sci. 632: 664-677 (2023) - [j26]Peixin Huang, Xiang Zhao, Minghao Hu, Zhen Tan, Weidong Xiao:
T 2 -NER: A Two-Stage Span-Based Framework for Unified Named Entity Recognition with Templates. Trans. Assoc. Comput. Linguistics 11: 1265-1282 (2023) - [j25]Chunyun Meng, Xiaobing He, Zhen Tan, Li Luan:
Gait recognition based on 3D human body reconstruction and multi-granular feature fusion. J. Supercomput. 79(11): 12106-12125 (2023) - [j24]Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng:
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study. IEEE Trans. Knowl. Data Eng. 35(12): 12770-12784 (2023) - [c33]Fei Wu, Chong Zhang, Zhen Tan, Hao Xu, Bin Ge:
Continual Few-Shot Relation Extraction with Prompt-Based Contrastive Learning. APWeb/WAIM (4) 2023: 312-327 - [c32]Aibo Guo, Xiang Zhao, Zhen Tan, Weidong Xiao:
MGICL: Multi-Grained Interaction Contrastive Learning for Multimodal Named Entity Recognition. CIKM 2023: 639-648 - [c31]Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li:
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. EMNLP (Findings) 2023: 12528-12540 - [c30]Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu:
Virtual Node Tuning for Few-shot Node Classification. KDD 2023: 2177-2188 - [c29]Song Wang, Zhen Tan, Huan Liu, Jundong Li:
Contrastive Meta-Learning for Few-shot Node Classification. KDD 2023: 2386-2397 - [c28]Hirthik Mathavan, Zhen Tan, Nivedh Mudiam, Huan Liu:
Inductive Linear Probing for Few-Shot Node Classification. SBP-BRiMS 2023: 274-284 - [c27]Dong Chen, Xiang Zhao, Wei Wang, Zhen Tan, Weidong Xiao:
Graph Self-supervised Learning with Augmentation-aware Contrastive Learning. WWW 2023: 154-164 - [i11]Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu:
Virtual Node Tuning for Few-shot Node Classification. CoRR abs/2306.06063 (2023) - [i10]Hirthik Mathavan, Zhen Tan, Nivedh Mudiam, Huan Liu:
Inductive Linear Probing for Few-shot Node Classification. CoRR abs/2306.08192 (2023) - [i9]Song Wang, Zhen Tan, Huan Liu, Jundong Li:
Contrastive Meta-Learning for Few-shot Node Classification. CoRR abs/2306.15154 (2023) - [i8]Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu:
Disinformation Detection: An Evolving Challenge in the Age of LLMs. CoRR abs/2309.15847 (2023) - [i7]Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li:
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. CoRR abs/2311.01108 (2023) - [i6]Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu:
Interpreting Pretrained Language Models via Concept Bottlenecks. CoRR abs/2311.05014 (2023) - [i5]Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu:
Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. CoRR abs/2312.15033 (2023) - 2022
- [j23]Junfeng Zhang, Lining Xing, Zhen Tan, Hongsen Wang, Kesheng Wang:
Multi-head attention fusion networks for multi-modal speech emotion recognition. Comput. Ind. Eng. 168: 108078 (2022) - [j22]Liang Zheng, Ji Bao, Chengcheng Xu, Zhen Tan:
Biobjective robust simulation-based optimization for unconstrained problems. Eur. J. Oper. Res. 299(1): 249-262 (2022) - [j21]Liang Zheng, Youpeng Yang, Guanqi Fu, Zhen Tan, Xuekai Cen:
A Surrogate-Based Optimization Method with Dynamic Adaptation for High-Dimensional Mixed-Integer Problems. Swarm Evol. Comput. 72: 101099 (2022) - [j20]Zhen Tan, Huageng Liang, Dan Zhang, Qing-Guo Wang:
Path planning of surgical needle: A new adaptive intelligent particle swarm optimization method. Trans. Inst. Meas. Control 44(4) (2022) - [j19]Xiaoqian Zhang, Zhen Tan, Huaijiang Sun, Zungang Wang, Mingwei Qin:
Orthogonal Low-Rank Projection Learning for Robust Image Feature Extraction. IEEE Trans. Multim. 24: 3882-3895 (2022) - [c26]Jiuyang Tang, Zhen Tan, Hao Guo, Xuqian Huang, Weixin Zeng, Huang Peng:
Iterative Deep Graph Learning with Local Feature Augmentation for Network Alignment. APWeb/WAIM (1) 2022: 511-526 - [c25]Aibo Guo, Xinyi Li, Guanchen Xiao, Zhen Tan, Xiang Zhao:
SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher. CIKM 2022: 3973-3977 - [c24]Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu:
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. LoG 2022: 4 - [c23]Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
Supervised Graph Contrastive Learning for Few-Shot Node Classification. ECML/PKDD (2) 2022: 394-411 - [c22]Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
Graph Few-shot Class-incremental Learning. WSDM 2022: 987-996 - [i4]Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
A Simple Yet Effective Pretraining Strategy for Graph Few-shot Learning. CoRR abs/2203.15936 (2022) - [i3]Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu:
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. CoRR abs/2212.05606 (2022) - 2021
- [j18]Xuqian Huang, Jiuyang Tang, Zhen Tan, Weixin Zeng, Ji Wang, Xiang Zhao:
Knowledge graph embedding by relational and entity rotation. Knowl. Based Syst. 229: 107310 (2021) - [j17]Yuhan Wang, Weidong Xiao, Zhen Tan, Xiang Zhao:
Caps-OWKG: a capsule network model for open-world knowledge graph. Int. J. Mach. Learn. Cybern. 12(6): 1627-1637 (2021) - [j16]Jinzhi Liao, Xiang Zhao, Jiuyang Tang, Weixin Zeng, Zhen Tan:
To hop or not, that is the question: Towards effective multi-hop reasoning over knowledge graphs. World Wide Web 24(5): 1837-1856 (2021) - [c21]Junxing Wang, Xinyi Li, Zhen Tan, Xiang Zhao, Weidong Xiao:
Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering. CoNLL 2021: 445-453 - [c20]Zhen Tan, Han Li, Yang Yu:
Sensor Fusion Based Weighted Geometric Distance Data Association Method for 3D Multi-object Tracking. ICCSIP 2021: 315-327 - [i2]Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
Graph Few-shot Class-incremental Learning. CoRR abs/2112.12819 (2021) - 2020
- [j15]Ning Pang, Zhen Tan, Hao Xu, Weidong Xiao:
Boosting Knowledge Base Automatically via Few-Shot Relation Classification. Frontiers Neurorobotics 14: 584192 (2020) - [j14]Ning Pang, Zhen Tan, Xiang Zhao, Weixin Zeng, Weidong Xiao:
Domain relation extraction from noisy Chinese texts. Neurocomputing 418: 21-35 (2020) - [c19]Xin He, Jiuyang Tang, Zhen Tan, Zheng Yu, Xiang Zhao:
Paperant: Key Elements Generation with New Ideas. APWeb/WAIM (2) 2020: 294-308 - [c18]Peixin Huang, Xiang Zhao, Ryuichi Takanobu, Zhen Tan, Weidong Xiao:
Joint Event Extraction with Hierarchical Policy Network. COLING 2020: 2653-2664 - [c17]Aibo Guo, Zhen Tan, Xiang Zhao:
Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection. KSEM (1) 2020: 65-76 - [c16]Yanli Hu, Chunhui He, Zhen Tan, Chong Zhang, Bin Ge:
Fusion of Domain Knowledge and Text Features for Query Expansion in Citation Recommendation. KSEM (2) 2020: 105-113 - [c15]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Zhen Tan, Xuqian Huang:
CLEEK: A Chinese Long-text Corpus for Entity Linking. LREC 2020: 2026-2035 - [c14]Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan:
Degree-Aware Alignment for Entities in Tail. SIGIR 2020: 811-820 - [c13]Chunhui He, Yanli Hu, Aixia Zhou, Zhen Tan, Chong Zhang, Bin Ge:
A Web News Classification Method: Fusion Noise Filtering and Convolutional Neural Network. SSPS 2020: 80-85 - [i1]Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan:
Degree-Aware Alignment for Entities in Tail. CoRR abs/2005.12132 (2020)
2010 – 2019
- 2019
- [j13]Zhenyu Mei, Zhen Tan, Wei Zhang, Dianhai Wang:
Simulation analysis of traffic signal control and transit signal priority strategies under Arterial Coordination Conditions. Simul. 95(1) (2019) - [j12]Shengze Hu, Zhen Tan, Weixin Zeng, Bin Ge, Weidong Xiao:
Entity Linking via Symmetrical Attention-Based Neural Network and Entity Structural Features. Symmetry 11(4): 453 (2019) - [c12]Zhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao:
Jointly Extracting Multiple Triplets with Multilayer Translation Constraints. AAAI 2019: 7080-7087 - [c11]Ning Pang, Weixin Zeng, Jiuyang Tang, Zhen Tan, Xiang Zhao:
Iterative Entity Alignment with Improved Neural Attribute Embedding. DL4KG@ESWC 2019: 41-46 - 2018
- [j11]Zhen Tan, Xiang Zhao, Yang Fang, Weidong Xiao:
GTrans: Generic Knowledge Graph Embedding via Multi-State Entities and Dynamic Relation Spaces. IEEE Access 6: 8232-8244 (2018) - [j10]Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao:
TransPath: Representation Learning for Heterogeneous Information Networks via Translation Mechanism. IEEE Access 6: 20712-20721 (2018) - [j9]Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao:
Relational Knowledge Prediction via Dynamic Bi-Mode Embedding. IEEE Access 6: 25715-25723 (2018) - [j8]Zhen Tan, Chunhui He, Yang Fang, Bin Ge, Weidong Xiao:
Title-Based Extraction of News Contents for Text Mining. IEEE Access 6: 64085-64095 (2018) - [j7]Zhen Tan, Xiang Zhao, Yang Fang, Bin Ge, Weidong Xiao:
Knowledge Graph Representation via Similarity-Based Embedding. Sci. Program. 2018: 6325635:1-6325635:12 (2018) - [j6]Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao:
Network Embedding via a Bi-Mode and Deep Neural Network Model. Symmetry 10(5): 180 (2018) - [j5]Zhen Tan, Bo Li, Peixin Huang, Bin Ge, Weidong Xiao:
Neural Relation Classification Using Selective Attention and Symmetrical Directional Instances. Symmetry 10(9): 357 (2018) - [j4]Zhen Tan, Huaizhu Oliver Gao:
Optimizing Vents Layout and Configuration of Complex Urban Tunnels for Air Quality Control. IEEE Trans. Control. Syst. Technol. 26(1): 368-376 (2018) - [c10]Zhen Tan, Huaizhu Oliver Gao:
Ventilation Control in Bifurcate Tunnels with Distributed Vents. ACC 2018: 559-564 - [c9]Zhen Tan, Huaizhu Oliver Gao:
Bayesian Inference for Static Traffic Network Flows with Mobile Sensor Data. HICSS 2018: 1-10 - [c8]Tian Liu, Ziyu Liu, Jun Huang, Rui Tan, Zhen Tan:
Detecting Wireless Spy Cameras Via Stimulating and Probing. MobiSys 2018: 243-255 - 2017
- [c7]Zhen Tan, Xiang Zhao, Wei Wang:
Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations. CIKM 2017: 1777-1786 - 2016
- [c6]Zhen Tan, Xiang Zhao, Yang Fang, Weidong Xiao, Jiuyang Tang:
Knowledge Representation Learning via Dynamic Relation Spaces. ICDM Workshops 2016: 684-691 - [c5]Zhen Tan, Huaizhu Oliver Gao:
Bayesian ranking and selection model for the Second-best Network Pricing Problem. WSC 2016: 2487-2498 - 2015
- [c4]Zhen Tan, JiaLi Ma, Binbin Fu, Mingchui Dong:
Extract qualified heart sound in varying environment using parallel-training lms algorithm. DSP 2015: 407-411 - 2014
- [j3]Kehan Zeng, Zhen Tan, Mingchui Dong, Ping Yang:
Probability increment based swarm optimization for combinatorial optimization with application to printed circuit board assembly. Artif. Intell. Eng. Des. Anal. Manuf. 28(4): 429-437 (2014) - [j2]Wentao Lv, Junfeng Wang, Wenxian Yu, Zhen Tan:
Improvement of Semi-Random Measurement Matrix for Compressed Sensing. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(6): 1426-1429 (2014) - [j1]Jianqi Li, Fuwen Wang, Xiaofeng Li, Binfang Cao, Zhen Tan:
Wireless Monitoring System Based on the Non-uniform Stratified WSN in Viticulture. J. Networks 9(2): 244-251 (2014) - [c3]Yanqin Wang, Zhen Tan, Guojun Sun:
The Impact of Climate Change on the Potential Suitable Distribution of Major Crops in Zambia and the Countermeasures. CCTA 2014: 460-472 - 2012
- [c2]Zhen Tan, Z. Y. Huang, K. Wu, L. T. Xu:
Simulation analysis of longitudinal ventilation system with jet fan speed control for MPC strategy in a road tunnel. ITSC 2012: 1471-1476 - 2011
- [c1]Yifeng Huan, Junfeng Wang, Zhen Tan, Xingzhao Liu, Wenxian Yu:
SAR imaging based on Compressed Sensing. IGARSS 2011: 1674-1677
Coauthor Index
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