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Hongming Tan
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2020 – today
- 2026
[j4]Hongming Tan
, Shaoxiong Zhan
, Fengwei Jia, Hai-Tao Zheng
, Wai Kin (Victor) Chan
:
A hierarchical framework for measuring scientific paper innovation via large language models. Inf. Sci. 728: 122787 (2026)
[j3]Hongming Tan
, Ting Chen
, Ruochong Jin, Wai Kin Victor Chan
:
Data augmentation in time series forecasting through inverted framework. Pattern Recognit. Lett. 201: 152-159 (2026)- 2025
[j2]Ting Chen
, Xinyue Ren
, Jinzhou Lai
, Hongming Tan
, Fangming Liu, Wai Kin Victor Chan
:
Toward Transformer-compatible multivariate time series learning via visibility graph-based structural encoding. Knowl. Based Syst. 329: 114389 (2025)
[j1]Hongming Tan
, Shaoxiong Zhan
, Hai Lin
, Hai-Tao Zheng
, Wai Kin Chan
:
QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval. IEEE Trans. Knowl. Data Eng. 37(6): 3669-3683 (2025)
[c2]Shaoxiong Zhan, Hai Lin, Hongming Tan, Xiaodong Cai, Hai-Tao Zheng, Xin Su, Zifei Shan, Ruitong Liu, Hong-Gee Kim:
LexSemBridge: Fine-Grained Dense Representation Enhancement Through Token-Aware Embedding Augmentation. ECAI 2025: 2378-2385
[i4]Hongming Tan, Shaoxiong Zhan, Fengwei Jia, Hai-Tao Zheng, Wai Kin Chan:
A Hierarchical Framework for Measuring Scientific Paper Innovation via Large Language Models. CoRR abs/2504.14620 (2025)
[i3]Hongming Tan, Ting Chen, Ruochong Jin, Wai Kin Chan:
Data Augmentation in Time Series Forecasting through Inverted Framework. CoRR abs/2507.11439 (2025)
[i2]Shaoxiong Zhan, Hai Lin, Hongming Tan, Xiaodong Cai, Hai-Tao Zheng, Xin Su, Zifei Shan, Ruitong Liu, Hong-Gee Kim:
LexSemBridge: Fine-Grained Dense Representation Enhancement through Token-Aware Embedding Augmentation. CoRR abs/2508.17858 (2025)- 2024
[c1]Fengwei Jia, Hongli Zhu, Fengyuan Jia, Xinyue Ren, Hongming Tan, Siqi Chen, Wai Kin Victor Chan:
SIMDIFF: Modeling and Generation of Stochastic Discrete-Event Simulation Inputs via Denoising Probabilistic Diffusion Process. WSC 2024: 2691-2702
[i1]Hongming Tan, Shaoxiong Zhan, Hai Lin, Hai-Tao Zheng, Wai Kin Chan:
QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval. CoRR abs/2407.20207 (2024)
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