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Tianjin Huang
11 papers at tracked venues · 7 at CORE A* · active 2024–2026
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Venues
ICLR
×3
AAAI
×2
BMVC
×1
ICML
×1
MICCAI
×1
NeurIPS
×1
WACV
×1
WSDM
×1
Frequent coauthors
Lu Liu
×4
Shiwei Liu
×4
Mykola Pechenizkiy
×3
Xiang Li
×2
Chunbo Luo
×2
Tianlong Chen
×2
Gaojie Jin
×2
Lu Yin
×2
Ziquan Zhu
×2
Shuaiyu Chen
×1
Fu Wang
×1
Siyang Song
×1
Papers
Enhancing Remote Sensing Change Detection Via Masked Edge Reconstruction
BibTeX ⧉
WACV 2026
·
Shuaiyu Chen
,
Fu Wang
,
Tianjin Huang
,
Xiang Li
,
Siyang Song
,
Guangliang Cheng
,
Chunbo Luo
,
Zeyu Fu
SARC: Sentiment-Augmented Deep Role Clustering for Fake News Detection
BibTeX ⧉
WSDM 2026
·
Jingqing Wang
,
Jiaxing Shang
,
Rong Xu
,
Fei Hao
,
Tianjin Huang
,
Geyong Min
TimeCAP: A Channel-Aware Pre-Training Framework for Multivariate Time Series Forecasting
BibTeX ⧉
AAAI 2026
·
Chuanru Ren
,
Yao Lu
,
Tianjin Huang
,
Haowen Zheng
,
Hengde Zhu
,
Yunyin Li
,
Hengxiao Li
,
Lu Liu
Composable Interventions for Language Models
BibTeX ⧉
ICLR 2025
·
Arinbjörn Kolbeinsson
,
Kyle O'Brien
,
Tianjin Huang
,
Shanghua Gao
,
Shiwei Liu
,
Jonathan Richard Schwarz
,
Anurag Jayant Vaidya
,
Faisal Mahmood
,
Marinka Zitnik
,
Tianlong Chen
,
Thomas Hartvigsen
Enhancing Robust Fairness via Confusional Spectral Regularization
BibTeX ⧉
ICLR 2025
·
Gaojie Jin
,
Sihao Wu
,
Jiaxu Liu
,
Tianjin Huang
,
Ronghui Mu
LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning
BibTeX ⧉
ICML 2025
·
Zihang Liu
,
Tianyu Pang
,
Oleg Balabanov
,
Chaoqun Yang
,
Tianjin Huang
,
Lu Yin
,
Yaoqing Yang
,
Shiwei Liu
LKA: Large Kernel Adapter for Enhanced Medical Image Classification
BibTeX ⧉
MICCAI 2025
·
Ziquan Zhu
,
Si-Yuan Lu
,
Tianjin Huang
,
Lu Liu
,
Zhe Liu
REOBench: Benchmarking Robustness of Earth Observation Foundation Models
BibTeX ⧉
NeurIPS 2025
·
Xiang Li
,
Yong Tao
,
Siyuan Zhang
,
Siwei Liu
,
Zhitong Xiong
,
Chunbo Luo
,
Lu Liu
,
Mykola Pechenizkiy
,
Xiaoxiang Zhu
,
Tianjin Huang
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
BibTeX ⧉
ICLR 2025
·
Tianjin Huang
,
Ziquan Zhu
,
Gaojie Jin
,
Lu Liu
,
Zhangyang Wang
,
Shiwei Liu
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
BibTeX ⧉
AAAI 2025
·
Can Jin
,
Tianjin Huang
,
Yihua Zhang
,
Mykola Pechenizkiy
,
Sijia Liu
,
Shiwei Liu
,
Tianlong Chen
Are Sparse Neural Networks Better Hard Sample Learners?
BibTeX ⧉
BMVC 2024
·
Qiao Xiao
,
Boqian Wu
,
Lu Yin
,
Christopher Neil Gadzinski
,
Tianjin Huang
,
Mykola Pechenizkiy
,
Decebal Constantin Mocanu