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Hong Chen
15 papers at tracked venues · 12 at CORE A* · active 2024–2026
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Venues
AAAI
×3
ICML
×3
ACL
×2
EMNLP
×1
ICCV
×1
ICDE
×1
ICLR
×1
IJCAI
×1
NAACL
×1
SIGKDD
×1
Frequent coauthors
Xuming Hu
×2
Zheyuan Zhang
×2
Chang Cao
×2
Han Li
×2
Yulong Wang
×2
Rui Wu
×2
David Jurgens
×2
Bo Wang
×1
Junzhuo Li
×1
Yuanlin Chu
×1
Yuxuan Fan
×1
Jiwei Zhang
×1
Papers
Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models
BibTeX ⧉
AAAI 2026
·
Bo Wang
,
Junzhuo Li
,
Hong Chen
,
Yuanlin Chu
,
Yuxuan Fan
,
Xuming Hu
D²-VPR: A Parameter-efficient Visual-foundation-model-based Visual Place Recognition Method via Knowledge Distillation and Deformable Aggregation
BibTeX ⧉
AAAI 2026
·
Zheyuan Zhang
,
Jiwei Zhang
,
Boyu Zhou
,
Linzhimeng Duan
,
Hong Chen
Telescope: A Learned What-If Call for Column Store Selection in HTAP Databases
BibTeX ⧉
ICDE 2026
·
Yidong Zhang
,
Chao Zhang
,
Zhengkun Wu
,
Ju Fan
,
Xinyi Zhang
,
Hong Chen
,
Yuxing Chen
,
Anqun Pan
Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs
BibTeX ⧉
ACL 2026
·
Yubo Gao
,
Haotian Wu
,
Hong Chen
,
Junquan Huang
,
Yibo Yan
,
Jungang Li
,
Zihao Dongfang
,
Sicheng Tao
,
Puay Siew Tan
,
Jie Zhang
,
Xuming Hu
A Statistical Approach for Controlled Training Data Detection
BibTeX ⧉
ICLR 2025
·
Zirui Hu
,
Yingjie Wang
,
Zheng Zhang
,
Hong Chen
,
Dacheng Tao
Adversarial Robust Generalization of Graph Neural Networks
BibTeX ⧉
ICML 2025
·
Chang Cao
,
Han Li
,
Yulong Wang
,
Rui Wu
,
Hong Chen
Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysis
BibTeX ⧉
IJCAI 2025
·
Chang Cao
,
Han Li
,
Yulong Wang
,
Rui Wu
,
Hong Chen
Causally Modeling the Linguistic and Social Factors that Predict Email Response
BibTeX ⧉
NAACL 2025
·
Yinuo Xu
,
Hong Chen
,
Sushrita Rakshit
,
Aparna Ananthasubramaniam
,
Omkar Yadav
,
Mingqian Zheng
,
Michael Jiang
,
Lechen Zhang
,
Bowen Yi
,
Kenan Alkiek
,
Abraham Israeli
,
Bangzhao Shu
,
Hua Shen
,
Jiaxin Pei
,
Haotian Zhang
,
Miriam Schirmer
,
David Jurgens
How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
BibTeX ⧉
ICML 2025
·
Jun Chen
,
Hong Chen
,
Yonghua Yu
,
Yiming Ying
Rethinking Key-Frame-Based Micro-Expression Recognition: a Robust and Accurate Framework Against Key-Frame Errors
BibTeX ⧉
ICCV 2025
·
Zheyuan Zhang
,
Weihao Tang
,
Hong Chen
SpikF: Spiking Fourier Network for Efficient Long-term Prediction
BibTeX ⧉
ICML 2025
·
Wenjie Wu
,
Dexuan Huo
,
Hong Chen
The Noisy Path from Source to Citation: Measuring How Scholars Engage with Past Research
BibTeX ⧉
ACL 2025
·
Hong Chen
,
Misha Teplitskiy
,
David Jurgens
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction
BibTeX ⧉
SIGKDD 2024
·
Jiahui Gong
,
Jingtao Ding
,
Fanjin Meng
,
Guilong Chen
,
Hong Chen
,
Shen Zhao
,
Haisheng Lu
,
Yong Li
Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs
BibTeX ⧉
EMNLP 2024
·
Biyang Guo
,
He Wang
,
Wenyilin Xiao
,
Hong Chen
,
Zhuxin Lee
,
Songqiao Han
,
Hailiang Huang
Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent
BibTeX ⧉
AAAI 2024
·
Jiahuan Wang
,
Hong Chen