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Jiacheng Huang
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2020 – today
- 2024
- [j11]Xiaoyin Yi, Jiacheng Huang:
IAE: Irony-Based Adversarial Examples for Sentiment Analysis Systems. IEEE Access 12: 105605-105612 (2024) - [j10]Guojun Jiang, Jiacheng Huang, Yunlong Yang:
Dual-Sparse Parallel Nested Array for Two-Dimensional Direction of Arrival Estimation. Circuits Syst. Signal Process. 43(12): 8060-8073 (2024) - [j9]Jiacheng Huang, Long Chen:
Defense against adversarial attacks via textual embeddings based on semantic associative field. Neural Comput. Appl. 36(1): 289-301 (2024) - [j8]Honglin Liao, Jiacheng Huang, Yong Tang:
LEET: stock market forecast with long-term emotional change enhanced temporal model. PeerJ Comput. Sci. 10: e1969 (2024) - [c18]Jiacheng Huang, Yunmo Zhang, Junqiao Qiu, Yu Liang, Rachata Ausavarungnirun, Qingan Li, Chun Jason Xue:
More Apps, Faster Hot-Launch on Mobile Devices via Fore/Background-aware GC-Swap Co-design. ASPLOS (3) 2024: 654-670 - [c17]Lufeng Chen, Yingming Han, Chenyang Liu, Bin Li, Jiacheng Huang, Jing Qiu:
TrunkFlex: Enhancing Engagement in Post-Stroke Trunk Rehabilitation through a Follow-and-Stimulate Cable-Driven Robotic System. ICARM 2024: 194-199 - [c16]Hanlin Cai, Yuchen Fang, Jiacheng Huang, Meng Yuan, Zhezhuang Xu:
Poster: Hybrid Detection Mechanism for Spoofing Attacks in Bluetooth Low Energy Networks. MobiSys 2024: 710-711 - [i12]Jiacheng Huang, Long Chen:
Chain Association-based Attacking and Shielding Natural Language Processing Systems. CoRR abs/2411.07843 (2024) - [i11]Xiaoyin Yi, Jiacheng Huang:
IAE: Irony-based Adversarial Examples for Sentiment Analysis Systems. CoRR abs/2411.07850 (2024) - 2023
- [j7]Jiacheng Huang, Zuxin Li, Zhe Zhou:
A Simple Framework to Generalized Zero-Shot Learning for Fault Diagnosis of Industrial Processes. IEEE CAA J. Autom. Sinica 10(6): 1504-1506 (2023) - [j6]Jiacheng Huang, Zequn Sun, Qijin Chen, Xiaozhou Xu, Weijun Ren, Wei Hu:
Deep Active Alignment of Knowledge Graph Entities and Schemata. Proc. ACM Manag. Data 1(2): 159:1-159:26 (2023) - [j5]Yunxiao Du, Zichen Xu, Kanqi Zhang, Jie Liu, Christopher Stewart, Jiacheng Huang:
Cost-Effective Strong Consistency on Scalable Geo-Diverse Data Replicas. IEEE Trans. Cloud Comput. 11(2): 1764-1776 (2023) - [j4]Yuanming Zhang, Weiyue Zhou, Jiacheng Huang, Xiaohang Jin, Gang Xiao:
Temporal Knowledge Graph Informer Network for Remaining Useful Life Prediction. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j3]Jiacheng Huang, Wei Hu, Zhifeng Bao, Qijin Chen, Yuzhong Qu:
Deep entity matching with adversarial active learning. VLDB J. 32(1): 229-255 (2023) - [c15]Zequn Sun, Jiacheng Huang, Xiaozhou Xu, Qijin Chen, Weijun Ren, Wei Hu:
What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings. ICML 2023: 32875-32885 - [c14]Zequn Sun, Jiacheng Huang, Jinghao Lin, Xiaozhou Xu, Qijin Chen, Wei Hu:
Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs. KDD 2023: 2132-2144 - [d2]Jiacheng Huang:
TKGIN_data. IEEE DataPort, 2023 - [d1]Jiacheng Huang:
C-MAPSS-KGTN. IEEE DataPort, 2023 - [i10]Jiacheng Huang, Zequn Sun, Qijin Chen, Xiaozhou Xu, Weijun Ren, Wei Hu:
Deep Active Alignment of Knowledge Graph Entities and Schemata. CoRR abs/2304.04389 (2023) - [i9]Zequn Sun, Jiacheng Huang, Xiaozhou Xu, Qijin Chen, Weijun Ren, Wei Hu:
What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings. CoRR abs/2306.02622 (2023) - [i8]Zequn Sun, Jiacheng Huang, Jinghao Lin, Xiaozhou Xu, Qijin Chen, Wei Hu:
Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs. CoRR abs/2306.02679 (2023) - 2022
- [c13]Yao Zhao, Jiacheng Huang, Wei Hu, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren:
Implicit Relation Linking for Question Answering over Knowledge Graph. ACL (Findings) 2022: 3956-3968 - [c12]Jiacheng Huang, Min Peng, Libing Wu, Chun Jason Xue, Qingan Li:
Lamina: Low Overhead Wear Leveling for NVM with Bounded Tail. ASP-DAC 2022: 377-382 - [c11]Hongwei Xu, Jiacheng Huang, Linlin Chen, Jingzhe Dong:
Research on registration algorithm of plane digital die cutting based on visual image. ICISCAE 2022: 84-87 - [c10]Jiacheng Huang, Yao Zhao, Wei Hu, Zhen Ning, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren:
Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data. WWW 2022: 956-965 - [i7]Jiacheng Huang, Yao Zhao, Wei Hu, Zhen Ning, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren:
Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data. CoRR abs/2201.08580 (2022) - [i6]Zichen Xu, Yunxiao Du, Kanqi Zhang, Jiacheng Huang, Jie Liu, Jingxiong Gao, Christopher Stewart:
Cost-effective BlackWater Raft on Highly Unreliable Nodes at Scale Out. CoRR abs/2203.07920 (2022) - 2021
- [c9]Wei Bi, Huayang Li, Jiacheng Huang:
Data Augmentation for Text Generation Without Any Augmented Data. ACL/IJCNLP (1) 2021: 2223-2237 - [i5]Wei Bi, Huayang Li, Jiacheng Huang:
Data Augmentation for Text Generation Without Any Augmented Data. CoRR abs/2105.13650 (2021) - 2020
- [c8]Jiacheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu:
Crowdsourced Collective Entity Resolution with Relational Match Propagation. ICDE 2020: 37-48 - [c7]Xinze Lyu, Guangyao Li, Jiacheng Huang, Wei Hu:
Rule-Guided Graph Neural Networks for Recommender Systems. ISWC (1) 2020: 384-401 - [c6]Ermei Cao, Difeng Wang, Jiacheng Huang, Wei Hu:
Open Knowledge Enrichment for Long-tail Entities. WWW 2020: 384-394 - [i4]Ermei Cao, Difeng Wang, Jiacheng Huang, Wei Hu:
Open Knowledge Enrichment for Long-tail Entities. CoRR abs/2002.06397 (2020) - [i3]Jiacheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu:
Crowdsourced Collective Entity Resolution with Relational Match Propagation. CoRR abs/2002.09361 (2020) - [i2]Zequn Sun, Jiacheng Huang, Wei Hu, Muchao Chen, Lingbing Guo, Yuzhong Qu:
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs. CoRR abs/2004.13579 (2020) - [i1]Xinze Lyu, Guangyao Li, Jiacheng Huang, Wei Hu:
Rule-Guided Graph Neural Networks for Recommender Systems. CoRR abs/2009.04104 (2020)
2010 – 2019
- 2019
- [c5]Zichen Xu, Christopher Stewart, Jiacheng Huang:
RAFTing Over on Geo-Diverse Spot markets. INFOCOM Workshops 2019: 490-495 - [c4]Zichen Xu, Christopher Stewart, Jiacheng Huang:
Elastic, geo-distributed RAFT. IWQoS 2019: 11:1-11:9 - [c3]Wei Hu, Qingheng Zhang, Zequn Sun, Jiacheng Huang:
MultiKE: a Multi-view Knowledge Graph Embedding Framework for Entity Alignment. OM@ISWC 2019: 189-190 - [c2]Zequn Sun, Jiacheng Huang, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu:
TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs. ISWC (1) 2019: 612-629 - 2018
- [c1]Jiacheng Huang, Wei Hu, Haoxuan Li, Yuzhong Qu:
Automated Comparative Table Generation for Facilitating Human Intervention in Multi-Entity Resolution. SIGIR 2018: 585-594 - 2017
- [j2]Wei Hu, Honglei Qiu, Jiacheng Huang, Michel Dumontier:
BioSearch: a semantic search engine for Bio2RDF. Database J. Biol. Databases Curation 2017: bax059 (2017)
2000 – 2009
- 2009
- [j1]Yufei Zhou, Jiacheng Huang, Shi-Bing Wang, Wei Jiang, Jun-Ning Chen:
Principle of designing slope compensation in PFC Boost converter. Sci. China Ser. F Inf. Sci. 52(11): 2226-2233 (2009)
Coauthor Index
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