Hailin Hu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
8
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection. | Zhenliang Ni, Qiangyu Yan, Mouxiao Huang, Tianning Yuan, Yehui Tang, Hailin Hu, Xinghao Chen, Yunhe Wang |
| 2025 | AAAI | GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization. | Yirui Chen, Xudong Huang, Quan Zhang, Wei Li, Mingjian Zhu, Qiangyu Yan, Simiao Li, Hanting Chen, Hailin Hu, Jie Yang, Wei Liu, Jie Hu |
| 2025 | CVPR | Single Domain Generalization for Few-Shot Counting via Universal Representation Matching. | Xianing Chen, Si Huo, Borui Jiang, Hailin Hu, Xinghao Chen |
| 2025 | EMNLP | Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs. | Yizhou Ying, Geng Zhang, Cui Danxin, Chengyu Du, Guanglei Yue, Sihang Jiang, Jiaqing Liang, Yifei Fu, Hailin Hu, Yanghua Xiao |
| 2025 | EMNLP | From Remembering to Metacognition: Do Existing Benchmarks Accurately Evaluate LLMs? | Geng Zhang, Yizhou Ying, Sihang Jiang, Jiaqing Liang, Guanglei Yue, Yifei Fu, Hailin Hu, Yanghua Xiao |
| 2023 | ICCV | Less is More: Focus Attention for Efficient DETR. | Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang |
| 2022 | ICLR | How Well Does Self-Supervised Pre-Training Perform with Streaming Data? | Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng |
| 2020 | CIKM | DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation. | Hailin Hu, MingJian Tang, Chengcheng Bai |
| 2017 | ICNC | Energy-efficient power control in interference-limited spectrum sharing networks based on multi-objective optimization. | Jiajia Zhu, Run-ze Wu, Ankun Yang, Yanhua He, Hailin Hu, Liangrui Tang |
| 2017 | RECOMB | ROSE: A Deep Learning Based Framework for Predicting Ribosome Stalling. | Sai Zhang, Hailin Hu, Jingtian Zhou, Xuan He, Tao Jiang, Jianyang Zeng |