Pipeline Scheduling for Array Based Reconfigurable Architectures Considering Interconnect Delays. - Shanghua Gao; Kenshu Seto; Satoshi Komatsu; Masahiro Fujita (FPT, 2005)

Interconnect-aware Pipeline Synthesis for Array based Reconfigurable Architectures. - Shanghua Gao; Kenshu Seto; Satoshi Komatsu; Masahiro Fujita (IESS, 2007)

Interconnect-Aware Pipeline Synthesis for Array-Based Architectures. - Shanghua Gao; Hiroaki Yoshida; Kenshu Seto; Satoshi Komatsu; Masahiro Fujita (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

High-efficient beam-converging for UCA based radio vortex wireless communications. - Shanghua Gao; Wenchi Cheng; Hailin Zhang 001; Zan Li 001 (ICCC, 2017)

Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground. - Deng-Ping Fan; Ming-Ming Cheng; Jiang-Jiang Liu 001; Shanghua Gao; Qibin Hou; Ali Borji (ECCV (15), 2018)

Hi-Fi: Hierarchical Feature Integration for Skeleton Detection. - Kai Zhao; Wei Shen 002; Shanghua Gao; Dandan Li; Ming-Ming Cheng (IJCAI, 2018)

Optimizing the F-measure for Threshold-free Salient Object Detection. - Kai Zhao; Shanghua Gao; Qibin Hou; Dandan Li; Ming-Ming Cheng (CoRR, 2018)

Optimizing the F-Measure for Threshold-Free Salient Object Detection. - Kai Zhao; Shanghua Gao; Wenguan Wang; Ming-Ming Cheng (ICCV, 2019)

Bifocal-Lens Converging Based OAM Wireless Communications. - Shanghua Gao; Wenchi Cheng; Hailin Zhang 001 (J. Commun. Inf. Networks, 2019)

Orbital Angular Momentum for Wireless Communications. - Wenchi Cheng; Wei Zhang 001; Haiyue Jing; Shanghua Gao; Hailin Zhang 001 (IEEE Wirel. Commun., 2019)

VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction. - Yong-Qiang Tan; Shanghua Gao; Xuan-Yi Li; Ming-Ming Cheng; Bo Ren 003 (CVPR, 2020)

Highly Efficient Salient Object Detection with 100K Parameters. - Shanghua Gao; Yong-Qiang Tan; Ming-Ming Cheng; Chengze Lu; Yunpeng Chen; Shuicheng Yan (ECCV (6), 2020)

Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution. - Qiulin Zhang; Zhuqing Jiang; Qishuo Lu; Jia'nan Han; Zhengxin Zeng; Shang-hua Gao; Aidong Men (IJCAI, 2020)

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. - Yu-Huan Wu; Shanghua Gao; Jie Mei 004; Jun Xu 019; Deng-Ping Fan; Chao-Wei Zhao; Ming-Ming Cheng (CoRR, 2020)

Representative Batch Normalization With Feature Calibration. - Shang-Hua Gao; Qi Han 007; Duo Li; Ming-Ming Cheng; Pai Peng (CVPR, 2021)

Global2Local: Efficient Structure Search for Video Action Segmentation. - Shang-Hua Gao; Qi Han 007; Zhong-Yu Li 006; Pai Peng; Liang Wang 001; Ming-Ming Cheng (CVPR, 2021)

iNAS: Integral NAS for Device-Aware Salient Object Detection. - Yuchao Gu; Shang-Hua Gao; Xu-Sheng Cao; Peng Du; Shao-Ping Lu; Ming-Ming Cheng (ICCV, 2021)

Res2Net: A New Multi-Scale Backbone Architecture. - Shanghua Gao; Ming-Ming Cheng; Kai Zhao; Xin-Yu Zhang 023; Ming-Hsuan Yang 001; Philip H. S. Torr (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Lithospheric Equilibrium, Environmental Changes, and Potential Induced-Earthquake Risk around the Newly Impounded Baihetan Reservoir, China. - Guangyu Fu; Yawen She; Guoqing Zhang; Yun Wang; Shanghua Gao; Tai Liu (Remote. Sens., 2021)

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. - Yu-Huan Wu; Shanghua Gao; Jie Mei 004; Jun Xu 019; Deng-Ping Fan; Rongguo Zhang; Ming-Ming Cheng (IEEE Trans. Image Process., 2021)

Exploring Feature Self-relation for Self-supervised Transformer. - Zhong-Yu Li 006; Shanghua Gao; Ming-Ming Cheng (CoRR, 2022)

Towards Sustainable Self-supervised Learning. - Shanghua Gao; Pan Zhou 002; Ming-Ming Cheng; Shuicheng Yan (CoRR, 2022)

A Highly Efficient Model to Study the Semantics of Salient Object Detection. - Ming-Ming Cheng; Shang-Hua Gao; Ali Borji; Yong-Qiang Tan; Zheng Lin 005; Meng Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Masked Diffusion Transformer is a Strong Image Synthesizer. - Shanghua Gao; Pan Zhou 002; Ming-Ming Cheng; Shuicheng Yan (ICCV, 2023)

EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation. - Shanghua Gao; Zhijie Lin 001; Xingyu Xie; Pan Zhou 002; Ming-Ming Cheng; Shuicheng Yan (ACM Multimedia, 2023)

Enhancing Representations through Heterogeneous Self-Supervised Learning. - Zhong-Yu Li 006; Bowen Yin; Shanghua Gao; Yongxiang Liu; Li Liu 002; Ming-Ming Cheng (CoRR, 2023)

ChatAnything: Facetime Chat with LLM-Enhanced Personas. - Yilin Zhao; Xinbin Yuan; Shanghua Gao; Zhijie Lin 001; Qibin Hou; Jiashi Feng; Daquan Zhou (CoRR, 2023)

A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation. - Yunheng Li; Zhong-Yu Li 006; Shanghua Gao; Qilong Wang 001; Qibin Hou; Ming-Ming Cheng (CoRR, 2023)

RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks. - Shanghua Gao; Zhong-Yu Li 006; Qi Han 007; Ming-Ming Cheng; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Large-Scale Unsupervised Semantic Segmentation. - Shanghua Gao; Zhong-Yu Li 006; Ming-Hsuan Yang 001; Ming-Ming Cheng; Junwei Han 001; Philip H. S. Torr (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

SERE: Exploring Feature Self-Relation for Self-Supervised Transformer. - Zhong-Yu Li 006; Shanghua Gao; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MoExtend: Tuning New Experts for Modality and Task Extension. - Shanshan Zhong; Shanghua Gao; Zhongzhan Huang; Wushao Wen; Marinka Zitnik; Pan Zhou 002 (ACL (Student Research Workshop), 2024)

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation. - Shanshan Zhong; Zhongzhan Huang; Shanghua Gao; Wushao Wen; Liang Lin; Marinka Zitnik; Pan Zhou 002 (CVPR, 2024)

UniTS: A Unified Multi-Task Time Series Model. - Shanghua Gao; Teddy Koker; Owen Queen; Tom Hartvigsen; Theodoros Tsiligkaridis; Marinka Zitnik (NeurIPS, 2024)

UniTS: Building a Unified Time Series Model. - Shanghua Gao; Teddy Koker; Owen Queen; Thomas Hartvigsen; Theodoros Tsiligkaridis; Marinka Zitnik (CoRR, 2024)

Empowering Biomedical Discovery with AI Agents. - Shanghua Gao; Ada Fang; Yepeng Huang; Valentina Giunchiglia; Ayush Noori; Jonathan Richard Schwarz; Yasha Ektefaie; Jovana Kondic; Marinka Zitnik (CoRR, 2024)

Knowledge Graph Based Agent for Complex, Knowledge-Intensive QA in Medicine. - Xiaorui Su 001; Yibo Wang 001; Shanghua Gao; Xiaolong Liu; Valentina Giunchiglia; Djork-Arné Clevert; Marinka Zitnik (CoRR, 2024)

KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA. - Xiaorui Su 001; Yibo Wang 001; Shanghua Gao; Xiaolong Liu; Valentina Giunchiglia; Djork-Arné Clevert; Marinka Zitnik (ICLR, 2025)

Composable Interventions for Language Models. - Arinbjörn Kolbeinsson; Kyle O'Brien; Tianjin Huang; Shanghua Gao; Shiwei Liu 003; Jonathan Richard Schwarz; Anurag Jayant Vaidya; Faisal Mahmood 001; Marinka Zitnik; Tianlong Chen 001; Thomas Hartvigsen (ICLR, 2025)

Multimodal Medical Code Tokenizer. - Xiao-Rui Su 001; Shvat Messica; Yepeng Huang; Ruth Johnson; Lukas Fesser; Shanghua Gao; Faryad Sahneh; Marinka Zitnik (CoRR, 2025)

TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools. - Shanghua Gao; Richard Zhu; Zhenglun Kong; Ayush Noori; Xiao-Rui Su 001; Curtis Ginder; Theodoros Tsiligkaridis; Marinka Zitnik (CoRR, 2025)

A Causality-Aware Paradigm for Evaluating Creativity of Multimodal Large Language Models. - Zhongzhan Huang; Shanshan Zhong; Pan Zhou 002; Shanghua Gao; Marinka Zitnik; Liang Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Representation Entanglement for Generation:Training Diffusion Transformers Is Much Easier Than You Think. - Ge Wu; Shen Zhang; Ruijing Shi; Shanghua Gao; Zhenyuan Chen; Lei Wang; Zhaowei Chen; Hongcheng Gao; Yao Tang; Jian Yang 003; Ming-Ming Cheng; Xiang Li 041 (CoRR, 2025)