| 2026 | ACL | SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models. | Yuhao Wu, Yushi Bai, Zhiqiang Hu, Juanzi Li, Roy Ka-Wei Lee |
| 2025 | CVPR | Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy. | Zesen Cheng, Hang Zhang, Kehan Li, Sicong Leng, Zhiqiang Hu, Fei Wu, Deli Zhao, Xin Li, Lidong Bing |
| 2025 | ICLR | LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs. | Yuhao Wu, Ming Shan Hee, Zhiqiang Hu, Roy Ka-Wei Lee |
| 2025 | ICLR | Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation. | Chenbin Zhang, Zhiqiang Hu, Chuchu Jiang, Wen Chen, Jie Xu, Shaoting Zhang |
| 2025 | ICML | Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective. | Jianyu Wang, Zhiqiang Hu, Lidong Bing |
| 2025 | ICPP | Pisces: Towards Adaptive and Fair Congestion Control via Multi-Agent Meta-Reinforcement Learning. | He Bai, Hui Li, Jianming Que, Minglong Zhang, Zhiqiang Hu, Ximing Xu, Bing Lin, Runhuai Huang, Junyang Qiu, Shaowen Deng |
| 2025 | IROS | UAV Video Deblurring via Motion-Aware Diffusion: A Path to Robust Target Detection. | Zhiqiang Hu, Shouren Huang, Masatoshi Ishikawa |
| 2025 | NAACL | SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages. | Wenxuan Zhang, Hou Pong Chan, Yiran Zhao, Mahani Aljunied, Jianyu Wang, Chaoqun Liu, Yue Deng, Zhiqiang Hu, Weiwen Xu, Yew Ken Chia, Xin Li, Lidong Bing |
| 2024 | ACL | SeaLLMs - Large Language Models for Southeast Asia. | Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Zhiqiang Hu, Chenhui Shen, Yew Ken Chia, Xingxuan Li, Jianyu Wang, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing |
| 2024 | EMNLP | LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay. | Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang |
| 2024 | EMNLP | Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. | Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee |
| 2024 | IROS | Dynamic SpectraFormer for Ultra-High-Definition Underwater Image Enhancement. | Zhiqiang Hu, Tao Yu, Shouren Huang, Masatoshi Ishikawa |
| 2024 | WWW | Contrastive Disentanglement for Authorship Attribution. | Zhiqiang Hu, Thao Thanh Nguyen, Yujia Hu, Chia-Yu Hung, Ming Shan Hee, Chun-Wei Seah, Roy Ka-Wei Lee |
| 2023 | ACL | Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models. | Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, Ee-Peng Lim |
| 2023 | EMNLP | Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer. | Zhiqiang Hu, Nancy F. Chen, Roy Ka-Wei Lee |
| 2023 | EMNLP | Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification. | Chia-Yu Hung, Zhiqiang Hu, Yujia Hu, Roy Ka-Wei Lee |
| 2023 | EMNLP | LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. | Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, Roy Ka-Wei Lee |
| 2023 | MICCAI | Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs. | Fangda Li, Zhiqiang Hu, Wen Chen, Avinash C. Kak |
| 2022 | ACCV | Learning to Predict Decomposed Dynamic Filters for Single Image Motion Deblurring. | Zhiqiang Hu, Tao Yu |
| 2022 | ECCV | Towards Self-Supervised and Weight-preserving Neural Architecture Search. | Zhuowei Li, Yibo Gao, Zhenzhou Zha, Zhiqiang Hu, Qing Xia, Shaoting Zhang, Dimitris N. Metaxas |
| 2021 | EMNLP | Improving Text Auto-Completion with Next Phrase Prediction. | Dong-Ho Lee, Zhiqiang Hu, Roy Ka-Wei Lee |
| 2021 | IJCAI | Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction. | Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang |
| 2021 | ICTAI | Improving Relation Extraction by Knowledge Representation Learning. | Wenxing Hong, Shuyan Li, Zhiqiang Hu, Abdur Rasool, Qingshan Jiang, Yang Weng |
| 2021 | MICCAI | Hybrid Supervision Learning for Pathology Whole Slide Image Classification. | Jiahui Li, Wen Chen, Xiaodi Huang, Shuang Yang, Zhiqiang Hu, Qi Duan, Dimitris N. Metaxas, Hongsheng Li, Shaoting Zhang |
| 2021 | MICCAI | A Deep Reinforced Tree-Traversal Agent for Coronary Artery Centerline Extraction. | Zhuowei Li, Qing Xia, Zhiqiang Hu, Wenji Wang, Lijian Xu, Shaoting Zhang |
| 2021 | MICCAI | Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation. | Lingyun Wu, Zhiqiang Hu, Yuanfeng Ji, Ping Luo, Shaoting Zhang |
| 2021 | RANLP | Syntax Matters! Syntax-Controlled in Text Style Transfer. | Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal |
| 2021 | WACV | Disentangled Contour Learning for Quadrilateral Text Detection. | Yanguang Bi, Zhiqiang Hu |
| 2021 | WISE | A Syntax-Aware Encoder for Authorship Attribution. | Jianbo Liu, Zhiqiang Hu, Jiasheng Zhang, Roy Ka-Wei Lee, Jie Shao |
| 2020 | ACCV | Scale-Aware Polar Representation for Arbitrarily-Shaped Text Detection. | Yanguang Bi, Zhiqiang Hu |
| 2020 | APWEB | DeepStyle: User Style Embedding for Authorship Attribution of Short Texts. | Zhiqiang Hu, Roy Ka-Wei Lee, Lei Wang, Ee-Peng Lim, Bo Dai |
| 2020 | MICCAI | Multi-organ Segmentation via Co-training Weight-Averaged Models from Few-Organ Datasets. | Rui Huang, Yuanjie Zheng, Zhiqiang Hu, Shaoting Zhang, Hongsheng Li |
| 2018 | ECCV | Learning to Navigate for Fine-Grained Classification. | Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang |
| 2018 | MICCAI | Left Ventricle Full Quantification Using Deep Layer Aggregation Based Multitask Relationship Learning. | Jiahui Li, Zhiqiang Hu |
| 2018 | MICCAI | Automatic 3D Atrial Segmentation from GE-MRIs Using Volumetric Fully Convolutional Networks. | Qing Xia, Yuxin Yao, Zhiqiang Hu, Aimin Hao |
| 2017 | MICCAI | Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks. | Jia Ding, Aoxue Li, Zhiqiang Hu, Liwei Wang |