ROSE: A Deep Learning Based Framework for Predicting Ribosome Stalling. - Sai Zhang; Hailin Hu 002; Jingtian Zhou; Xuan He; Tao Jiang 001; Jianyang Zeng 001 (RECOMB, 2017)

TITER: predicting translation initiation sites by deep learning. - Sai Zhang; Hailin Hu 002; Tao Jiang 001; Lei Zhang 095; Jianyang Zeng 001 (Bioinform., 2017)

ACME: pan-specific peptide-MHC class I binding prediction through attention-based deep neural networks. - Yan Hu; Ziqiang Wang; Hailin Hu 002; Fangping Wan; Lin Chen; Yuanpeng Xiong; Xiaoxia Wang; Dan Zhao 004; Weiren Huang; Jianyang Zeng 001 (Bioinform., 2019)

DeepHINT: understanding HIV-1 integration via deep learning with attention. - Hailin Hu 002; An Xiao; Sai Zhang; Yangyang Li; Xuanling Shi; Tao Jiang 001; Linqi Zhang; Lei Zhang 095; Jianyang Zeng 001 (Bioinform., 2019)

DeepShape: estimating isoform-level ribosome abundance and distribution with Ribo-seq data. - Hongfei Cui; Hailin Hu 002; Jianyang Zeng 001; Ting Chen 006 (BMC Bioinform., 2019)

DeepCPI: A Deep Learning-based Framework for Large-scale in silico Drug Screening. - Fangping Wan; Yue Zhu 010; Hailin Hu 002; Antao Dai; Xiaoqing Cai; Ligong Chen; Haipeng Gong; Tian Xia; Dehua Yang; Ming-Wei Wang 001; Jianyang Zeng 001 (Genom. Proteom. Bioinform., 2019)

DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation. - Hailin Hu 002; MingJian Tang 001; Chengcheng Bai (CIKM, 2020)

Secure multiparty computation for privacy-preserving drug discovery. - Rong Ma; Yi Li 005; Chenxing Li; Fangping Wan; Hailin Hu 002; Wei Xu 005; Jianyang Zeng 001 (Bioinform., 2020)

DensE: An Enhanced Non-Abelian Group Representation for Knowledge Graph Embedding. - Haonan Lu; Hailin Hu 002 (CoRR, 2020)

Riboexp: an interpretable reinforcement learning framework for ribosome density modeling. - Hailin Hu 002; Xianggen Liu; An Xiao; Yangyang Li; Chengdong Zhang; Tao Jiang 001; Dan Zhao 004; Sen Song; Jianyang Zeng 001 (Briefings Bioinform., 2021)

How Well Self-Supervised Pre-Training Performs with Streaming Data? - Dapeng Hu; Qizhengqiu Lu; Lanqing Hong; Hailin Hu 002; Yifan Zhang 004; Zhenguo Li; Alfred Shen; Jiashi Feng (CoRR, 2021)

How Well Does Self-Supervised Pre-Training Perform with Streaming Data? - Dapeng Hu; Shipeng Yan; Qizhengqiu Lu; Lanqing Hong; Hailin Hu 002; Yifan Zhang 004; Zhenguo Li; Xinchao Wang; Jiashi Feng (ICLR, 2022)

DensE: An enhanced non-commutative representation for knowledge graph embedding with adaptive semantic hierarchy. - Haonan Lu; Hailin Hu 002; Xiaodong Lin 004 (Neurocomputing, 2022)

Less is More: Focus Attention for Efficient DETR. - Dehua Zheng; Wenhui Dong; Hailin Hu 002; Xinghao Chen 001; Yunhe Wang 001 (ICCV, 2023)

GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image. - Mingjian Zhu; Hanting Chen; Qiangyu Yan; Xudong Huang; Guanyu Lin; Wei Li 002; Zhijun Tu; Hailin Hu 002; Jie Hu 021; Yunhe Wang 001 (NeurIPS, 2023)

Data-Free Distillation of Language Model by Text-to-Text Transfer. - Zheyuan Bai; Xinduo Liu; Hailin Hu 002; Tianyu Guo 001; Qinghua Zhang; Yunhe Wang 001 (CoRR, 2023)

GenDet: Towards Good Generalizations for AI-Generated Image Detection. - Mingjian Zhu; Hanting Chen; Mouxiao Huang; Wei Li 002; Hailin Hu 002; Jie Hu 021; Yunhe Wang 001 (CoRR, 2023)

PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation. - Yunhe Wang 001; Hanting Chen; Yehui Tang; Tianyu Guo 001; Kai Han 002; Ying Nie; Xutao Wang; Hailin Hu 002; Zheyuan Bai; Yun Wang; Fangcheng Liu; Zhicheng Liu 001; et al. (CoRR, 2023)

A Survey on Transformer Compression. - Yehui Tang; Yunhe Wang 001; Jianyuan Guo; Zhijun Tu; Kai Han 002; Hailin Hu 002; Dacheng Tao (CoRR, 2024)

Omni-Dimensional Frequency Learner for General Time Series Analysis. - Xianing Chen; Hanting Chen; Hailin Hu 002 (CoRR, 2024)

GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization. - Yirui Chen; Xudong Huang; Quan Zhang; Wei Li 002; Mingjian Zhu; Qiangyu Yan; Simiao Li; Hanting Chen; Hailin Hu 002; Jie Yang 002; Wei Liu; Jie Hu 021 (AAAI, 2025)

Single Domain Generalization for Few-Shot Counting via Universal Representation Matching. - Xianing Chen; Si Huo; Borui Jiang; Hailin Hu 002; Xinghao Chen 001 (CVPR, 2025)

GenVidBench: A Challenging Benchmark for Detecting AI-Generated Video. - Zhenliang Ni; Qiangyu Yan; Mouxiao Huang; Tianning Yuan; Yehui Tang; Hailin Hu 002; Xinghao Chen 001; Yunhe Wang 001 (CoRR, 2025)

Saliency-driven Dynamic Token Pruning for Large Language Models. - Yao Tao; Yehui Tang; Yun Wang; Mingjian Zhu; Hailin Hu 002; Yunhe Wang 001 (CoRR, 2025)

Transferable text data distillation by trajectory matching. - Rong Yao; Hailin Hu 002; Yifei Fu; Hanting Chen; Wenyi Fang; Fanyi Du; Kai Han 002; Yunhe Wang 001 (CoRR, 2025)

Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition. - Hanting Chen; Yasheng Wang; Kai Han 002; Dong Li 016; Lin Li; Zhenni Bi; Jinpeng Li 004; Haoyu Wang 003; Fei Mi; Mingjian Zhu; Bin Wang 027; Kaikai Song; et al. (CoRR, 2025)