Tianjin Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
11
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | TimeCAP: A Channel-Aware Pre-Training Framework for Multivariate Time Series Forecasting. | Chuanru Ren, Yao Lu, Tianjin Huang, Haowen Zheng, Hengde Zhu, Yunyin Li, Hengxiao Li, Lu Liu |
| 2026 | WACV | Enhancing Remote Sensing Change Detection Via Masked Edge Reconstruction. | Shuaiyu Chen, Fu Wang, Tianjin Huang, Xiang Li, Siyang Song, Guangliang Cheng, Chunbo Luo, Zeyu Fu |
| 2026 | WSDM | SARC: Sentiment-Augmented Deep Role Clustering for Fake News Detection. | Jingqing Wang, Jiaxing Shang, Rong Xu, Fei Hao, Tianjin Huang, Geyong Min |
| 2025 | AAAI | Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective. | Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen |
| 2025 | ICLR | SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training. | Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu |
| 2025 | ICLR | Enhancing Robust Fairness via Confusional Spectral Regularization. | Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu |
| 2025 | ICLR | Composable Interventions for Language Models. | Arinbjrn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen |
| 2025 | ICML | LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning. | Zihang Liu, Tianyu Pang, Oleg Balabanov, Chaoqun Yang, Tianjin Huang, Lu Yin, Yaoqing Yang, Shiwei Liu |
| 2025 | MICCAI | LKA: Large Kernel Adapter for Enhanced Medical Image Classification. | Ziquan Zhu, Si-Yuan Lu, Tianjin Huang, Lu Liu, Zhe Liu |
| 2024 | BMVC | Are Sparse Neural Networks Better Hard Sample Learners? | Qiao Xiao, Boqian Wu, Lu Yin, Christopher Neil Gadzinski, Tianjin Huang, Mykola Pechenizkiy, Decebal Constantin Mocanu |
| 2023 | AAAI | Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost. | Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski, Mykola Pechenizkiy |
| 2023 | ICLR | Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! | Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Kumar Jaiswal, Zhangyang Wang |
| 2023 | ICML | Are Large Kernels Better Teachers than Transformers for ConvNets? | Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu |
| 2022 | UAI | Superposing many tickets into one: A performance booster for sparse neural network training. | Lu Yin, Vlado Menkovski, Meng Fang, Tianjin Huang, Yulong Pei, Mykola Pechenizkiy |
| 2021 | ACML | calibrated adversarial training. | Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy |
| 2021 | DSAA | ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks. | Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy |
| 2016 | IGARSS | An improved method of using icesat altimetry data to extract Tibetan Plateau glacier thickness change rate. | Tianjin Huang, Li Jia, Jing Lu, Jie Zhou |