Hailin Hu - RankMe

36 papers A* 7A 1B 1Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	C-MOP: Integrating Momentum and Boundary-Aware Clustering for Enhanced Prompt Evolution. CoRR Binwei Yan, Yifei Fu, Mingjian Zhu, Hanting Chen, Mingxuan Yuan, Yunhe Wang, Hailin Hu
2026	A*	`conf`	GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection. AAAI Zhenliang Ni, Qiangyu Yan, Mouxiao Huang, Tianning Yuan, Yehui Tang, Hailin Hu, Xinghao Chen, Yunhe Wang
2025	A*	`conf`	Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs. EMNLP Yizhou Ying, Geng Zhang, Cui Danxin, Chengyu Du, Guanglei Yue, Sihang Jiang, Jiaqing Liang, Yifei Fu, Hailin Hu, Yanghua Xiao
2025	—	`conf`	From Remembering to Metacognition: Do Existing Benchmarks Accurately Evaluate LLMs? EMNLP (Findings) Geng Zhang, Yizhou Ying, Sihang Jiang, Jiaqing Liang, Guanglei Yue, Yifei Fu, Hailin Hu, Yanghua Xiao
2025	A*	`conf`	GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization. AAAI 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	J	`jnl`	GenVidBench: A Challenging Benchmark for Detecting AI-Generated Video. CoRR Zhenliang Ni, Qiangyu Yan, Mouxiao Huang, Tianning Yuan, Yehui Tang, Hailin Hu, Xinghao Chen, Yunhe Wang
2025	J	`jnl`	Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition. CoRR Hanting Chen, Yasheng Wang, Kai Han, Dong Li, Lin Li, Zhenni Bi, Jinpeng Li, Haoyu Wang, Fei Mi, Mingjian Zhu, Bin Wang, Kaikai Song, Yifei Fu, Xu He, Yu Luo, Chong Zhu, Quan He, Xueyu Wu, Wei He, Hailin Hu, Yehui Tang, Dacheng Tao, Xinghao Chen, Yunhe Wang
2025	J	`jnl`	Positional Preservation Embedding for Multimodal Large Language Models. CoRR Mouxiao Huang, Borui Jiang, Dehua Zheng, Hailin Hu, Kai Han, Xinghao Chen
2025	J	`jnl`	Saliency-driven Dynamic Token Pruning for Large Language Models. CoRR Yao Tao, Yehui Tang, Yun Wang, Mingjian Zhu, Hailin Hu, Yunhe Wang
2025	A*	`conf`	Single Domain Generalization for Few-Shot Counting via Universal Representation Matching. CVPR Xianing Chen, Si Huo, Borui Jiang, Hailin Hu, Xinghao Chen
2025	J	`jnl`	Single Domain Generalization for Few-Shot Counting via Universal Representation Matching. CoRR Xianing Chen, Si Huo, Borui Jiang, Hailin Hu, Xinghao Chen
2025	J	`jnl`	Towards Lossless Ultimate Vision Token Compression for VLMs. CoRR Dehua Zheng, Mouxiao Huang, Borui Jiang, Hailin Hu, Xinghao Chen
2025	J	`jnl`	Transferable text data distillation by trajectory matching. CoRR Rong Yao, Hailin Hu, Yifei Fu, Hanting Chen, Wenyi Fang, Fanyi Du, Kai Han, Yunhe Wang
2024	J	`jnl`	A Survey on Transformer Compression. CoRR Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhijun Tu, Kai Han, Hailin Hu, Dacheng Tao
2024	J	`jnl`	GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization. CoRR Yirui Chen, Xudong Huang, Quan Zhang, Wei Li, Mingjian Zhu, Qiangyu Yan, Simiao Li, Hanting Chen, Hailin Hu, Jie Yang, Wei Liu, Jie Hu
2024	J	`jnl`	Omni-Dimensional Frequency Learner for General Time Series Analysis. CoRR Xianing Chen, Hanting Chen, Hailin Hu
2023	J	`jnl`	Data-Free Distillation of Language Model by Text-to-Text Transfer. CoRR Zheyuan Bai, Xinduo Liu, Hailin Hu, Tianyu Guo, Qinghua Zhang, Yunhe Wang
2023	J	`jnl`	GenDet: Towards Good Generalizations for AI-Generated Image Detection. CoRR Mingjian Zhu, Hanting Chen, Mouxiao Huang, Wei Li, Hailin Hu, Jie Hu, Yunhe Wang
2023	A*	`conf`	GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image. NeurIPS Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang
2023	J	`jnl`	GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image. CoRR Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang
2023	A*	`conf`	Less is More: Focus Attention for Efficient DETR. ICCV Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang
2023	J	`jnl`	Less is More: Focus Attention for Efficient DETR. CoRR Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang
2023	J	`jnl`	PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation. CoRR Yunhe Wang, Hanting Chen, Yehui Tang, Tianyu Guo, Kai Han, Ying Nie, Xutao Wang, Hailin Hu, Zheyuan Bai, Yun Wang, Fangcheng Liu, Zhicheng Liu, Jianyuan Guo, Sinan Zeng, Yinchen Zhang, Qinghua Xu, Qun Liu, Jun Yao, Chao Xu, Dacheng Tao
2022	J	`jnl`	DensE: An enhanced non-commutative representation for knowledge graph embedding with adaptive semantic hierarchy. Neurocomputing Haonan Lu, Hailin Hu, Xiaodong Lin
2022	A*	`conf`	How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng
2021	J	`jnl`	How Well Self-Supervised Pre-Training Performs with Streaming Data? CoRR Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng
2021	J	`jnl`	Riboexp: an interpretable reinforcement learning framework for ribosome density modeling. Briefings Bioinform. Hailin Hu, Xianggen Liu, An Xiao, Yangyang Li, Chengdong Zhang, Tao Jiang, Dan Zhao, Sen Song, Jianyang Zeng
2020	A	`conf`	DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation. CIKM Hailin Hu, MingJian Tang, Chengcheng Bai
2020	J	`jnl`	DensE: An Enhanced Non-Abelian Group Representation for Knowledge Graph Embedding. CoRR Haonan Lu, Hailin Hu
2020	J	`jnl`	Secure multiparty computation for privacy-preserving drug discovery. Bioinform. Rong Ma, Yi Li, Chenxing Li, Fangping Wan, Hailin Hu, Wei Xu, Jianyang Zeng
2019	J	`jnl`	ACME: pan-specific peptide-MHC class I binding prediction through attention-based deep neural networks. Bioinform. Yan Hu, Ziqiang Wang, Hailin Hu, Fangping Wan, Lin Chen, Yuanpeng Xiong, Xiaoxia Wang, Dan Zhao, Weiren Huang, Jianyang Zeng
2019	J	`jnl`	DeepCPI: A Deep Learning-based Framework for Large-scale Genom. Proteom. Bioinform. Fangping Wan, Yue Zhu, Hailin Hu, Antao Dai, Xiaoqing Cai, Ligong Chen, Haipeng Gong, Tian Xia, Dehua Yang, Ming-Wei Wang, Jianyang Zeng
2019	J	`jnl`	DeepHINT: understanding HIV-1 integration via deep learning with attention. Bioinform. Hailin Hu, An Xiao, Sai Zhang, Yangyang Li, Xuanling Shi, Tao Jiang, Linqi Zhang, Lei Zhang, Jianyang Zeng
2019	J	`jnl`	DeepShape: estimating isoform-level ribosome abundance and distribution with Ribo-seq data. BMC Bioinform. Hongfei Cui, Hailin Hu, Jianyang Zeng, Ting Chen
2017	B	`conf`	ROSE: A Deep Learning Based Framework for Predicting Ribosome Stalling. RECOMB Sai Zhang, Hailin Hu, Jingtian Zhou, Xuan He, Tao Jiang, Jianyang Zeng
2017	J	`jnl`	TITER: predicting translation initiation sites by deep learning. Bioinform. Sai Zhang, Hailin Hu, Tao Jiang, Lei Zhang, Jianyang Zeng