| 2025 | CVPR | Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment. | Jiayi Guo, Junhao Zhao, Chaoqun Du, Yulin Wang, Chunjiang Ge, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang |
| 2025 | CVPR | EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance. | Yang Yue, Yulin Wang, Haojun Jiang, Pan Liu, Shiji Song, Gao Huang |
| 2025 | CVPR | CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning. | Yang Yue, Yulin Wang, Chenxin Tao, Pan Liu, Shiji Song, Gao Huang |
| 2025 | ICLR | GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling. | Honghui Wang, Shiji Song, Gao Huang |
| 2025 | IJCNN | Learning to Stabilize Column Generation. | Lichang Fang, Haofeng Yuan, Shiji Song, Bokui Chen |
| 2025 | NAACL | Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing. | Huanqian Wang, Yang Yue, Rui Lu, Jingxin Shi, Andrew Zhao, Shenzhi Wang, Shiji Song, Gao Huang |
| 2024 | AAAI | A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation. | Haofeng Yuan, Lichang Fang, Shiji Song |
| 2024 | ACL | Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling. | Shenzhi Wang, Chang Liu, Zilong Zheng, Siyuan Qi, Shuo Chen, Qisen Yang, Andrew Zhao, Chaofei Wang, Shiji Song, Gao Huang |
| 2024 | ACL | PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents. | Qisen Yang, Zekun Wang, Honghui Chen, Shenzhi Wang, Yifan Pu, Xin Gao, Wenhao Huang, Shiji Song, Gao Huang |
| 2024 | CVPR | Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models. | Jiayi Guo, Xingqian Xu, Yifan Pu, Zanlin Ni, Chaofei Wang, Manushree Vasu, Shiji Song, Gao Huang, Humphrey Shi |
| 2024 | CVPR | Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. | Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang |
| 2024 | CVPR | GSVA: Generalized Segmentation via Multimodal Large Language Models. | Zhuofan Xia, Dongchen Han, Yizeng Han, Xuran Pan, Shiji Song, Gao Huang |
| 2024 | ECCV | Agent Attention: On the Integration of Softmax and Linear Attention. | Dongchen Han, Tianzhu Ye, Yizeng Han, Zhuofan Xia, Siyuan Pan, Pengfei Wan, Shiji Song, Gao Huang |
| 2024 | ECCV | Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation Without Manual Labels. | Rui Huang, Songyou Peng, Aya Takmaz, Federico Tombari, Marc Pollefeys, Shiji Song, Gao Huang, Francis Engelmann |
| 2024 | ECCV | Efficient Diffusion Transformer with Step-Wise Dynamic Attention Mediators. | Yifan Pu, Zhuofan Xia, Jiayi Guo, Dongchen Han, Qixiu Li, Duo Li, Yuhui Yuan, Ji Li, Yizeng Han, Shiji Song, Gao Huang, Xiu Li |
| 2024 | ECCV | DyFADet: Dynamic Feature Aggregation for Temporal Action Detection. | Le Yang, Ziwei Zheng, Yizeng Han, Hao Cheng, Shiji Song, Gao Huang, Fan Li |
| 2024 | IROS | Visual Attention Based Cognitive Human-Robot Collaboration for Pedicle Screw Placement in Robot-Assisted Orthopedic Surgery. | Chen Chen, Qikai Zou, Yuhang Song, Mingrui Yu, Senqiang Zhu, Shiji Song, Xiang Li |
| 2024 | IROS | A Unified Interaction Control Framework for Safe Robotic Ultrasound Scanning with Human-Intention-Aware Compliance. | Xiangjie Yan, Shaqi Luo, Yongpeng Jiang, Mingrui Yu, Chen Chen, Senqiang Zhu, Gao Huang, Shiji Song, Xiang Li |
| 2024 | IROS | In-Hand Following of Deformable Linear Objects Using Dexterous Fingers with Tactile Sensing. | Mingrui Yu, Boyuan Liang, Xiang Zhang, Xinghao Zhu, Lingfeng Sun, Changhao Wang, Shiji Song, Xiang Li, Masayoshi Tomizuka |
| 2024 | MICCAI | Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train. | Haojun Jiang, Meng Li, Zhenguo Sun, Ning Jia, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang |
| 2024 | MICCAI | Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model. | Haojun Jiang, Zhenguo Sun, Ning Jia, Meng Li, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang |
| 2023 | AAAI | Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism. | Chunjiang Ge, Shiji Song, Gao Huang |
| 2023 | CVPR | Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning. | Jiayi Guo, Chaofei Wang, You Wu, Eric J. Zhang, Kai Wang, Xingqian Xu, Shiji Song, Humphrey Shi, Gao Huang |
| 2023 | CVPR | Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention. | Xuran Pan, Tianzhu Ye, Zhuofan Xia, Shiji Song, Gao Huang |
| 2023 | ICCV | Dynamic Perceiver for Efficient Visual Recognition. | Yizeng Han, Dongchen Han, Zeyu Liu, Yulin Wang, Xuran Pan, Yifan Pu, Chao Deng, Junlan Feng, Shiji Song, Gao Huang |
| 2023 | ICCV | FLatten Transformer: Vision Transformer using Focused Linear Attention. | Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang |
| 2023 | ICCV | Adaptive Rotated Convolution for Rotated Object Detection. | Yifan Pu, Yiru Wang, Zhuofan Xia, Yizeng Han, Yulin Wang, Weihao Gan, Zidong Wang, Shiji Song, Gao Huang |
| 2023 | ICCV | EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones. | Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang |
| 2023 | ICLR | Budgeted Training for Vision Transformer. | Zhuofan Xia, Xuran Pan, Xuan Jin, Yuan He, Hui Xue, Shiji Song, Gao Huang |
| 2023 | ICML | Boosting Offline Reinforcement Learning with Action Preference Query. | Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang |
| 2023 | SMC | Accelerating Column Generation Algorithm Using Machine-Learning-Based Column Elimination. | Lichang Fang, Haofeng Yuan, Yuli Zhang, Shiji Song |
| 2022 | CVPR | Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding. | Haojun Jiang, Yuanze Lin, Dongchen Han, Shiji Song, Gao Huang |
| 2022 | CVPR | On the Integration of Self-Attention and Convolution. | Xuran Pan, Chunjiang Ge, Rui Lu, Shiji Song, Guanfu Chen, Zeyi Huang, Gao Huang |
| 2022 | CVPR | Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework. | Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai |
| 2022 | CVPR | Vision Transformer with Deformable Attention. | Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang |
| 2022 | ECCV | Learning to Weight Samples for Dynamic Early-Exiting Networks. | Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfen Cao, Wenhui Huang, Chao Deng, Gao Huang |
| 2022 | ECCV | ActiveNeRF: Learning Where to See with Uncertainty Estimation. | Xuran Pan, Zihang Lai, Shiji Song, Gao Huang |
| 2022 | ECCV | AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition. | Yulin Wang, Yang Yue, Xinhong Xu, Ali Hassani, Victor Kulikov, Nikita Orlov, Shiji Song, Humphrey Shi, Gao Huang |
| 2022 | ICPR | Learn From the Past: Experience Ensemble Knowledge Distillation. | Chaofei Wang, Shaowei Zhang, Shiji Song, Gao Huang |
| 2022 | SMC | The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems. | Haofeng Yuan, Peng Jiang, Shiji Song |
| 2021 | CVPR | 3D Object Detection With Pointformer. | Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, Gao Huang |
| 2021 | CVPR | CondenseNet V2: Sparse Feature Reactivation for Deep Networks. | Le Yang, Haojun Jiang, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian |
| 2021 | ICCV | Adaptive Focus for Efficient Video Recognition. | Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang |
| 2021 | ICCV | Towards Learning Spatially Discriminative Feature Representations. | Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang |
| 2021 | ICLR | Revisiting Locally Supervised Learning: an Alternative to End-to-end Training. | Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang |
| 2020 | CVPR | Resolution Adaptive Networks for Efficient Inference. | Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang |
| 2019 | IJCAI | Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning. | Wenjie Shi, Shiji Song, Cheng Wu |
| 2019 | IROS | End-to-end sensorimotor control problems of AUVs with deep reinforcement learning. | Hui Wu, Shiji Song, Yachu Hsu, Keyou You, Cheng Wu |
| 2018 | SMC | High-Level Tracking of Autonomous Underwater Vehicles Based on Pseudo Averaged Q-Learning. | Wenjie Shi, Shiji Song, Cheng Wu |
| 2018 | SMC | Transductive Transfer Learning Based on Broad Learning System. | Le Yang, Shiji Song, C. L. Philip Chen |
| 2016 | ICARCV | A source-seeking strategy for an autonomous underwater vehicle via on-line field estimation. | Xiaodong Ai, Keyou You, Shiji Song |
| 2015 | AAAI | Maximin Separation Probability Clustering. | Gao Huang, Jianwen Zhang, Shiji Song, Zheng Chen |
| 2015 | AAAI | A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing. | Quan Zhou, Wenlin Chen, Shiji Song, Jacob R. Gardner, Kilian Q. Weinberger, Yixin Chen |
| 2015 | CEC | A novel Block-shifting simulated annealing algorithm for the no-wait flowshop scheduling problem. | Jianya Ding, Shiji Song, Rui Zhang, Siwei Zhou, Cheng Wu |
| 2015 | CEC | Solving a Multi-Level Capacitated Lot Sizing Problem with Random Demand via a Fix-and-Optimize heuristic. | Liuxi Li, Shiji Song, Cheng Wu |
| 2015 | SMC | Dimension Reduction by Maximizing Pairwise Discriminations. | Yanshang Gong, Shiji Song, Gao Huang |
| 2015 | SMC | Incremental Extreme Learning Machine Based on Cascade Neural Networks. | Yihe Wan, Shiji Song, Gao Huang |
| 2014 | CEC | Minimizing makespan for a no-wait flowshop using tabu mechanism improved iterated greedy algorithm. | Jianya Ding, Shiji Song, Rui Zhang, Cheng Wu |
| 2014 | SMC | Non-linear neighborhood component analysis based on constructive neural networks. | Chen Qin, Shiji Song, Gao Huang |
| 2006 | ICDM | Detecting Link Spam Using Temporal Information. | Guoyang Shen, Bin Gao, Tie-Yan Liu, Guang Feng, Shiji Song, Hang Li |
| 2006 | ISNN | A Neural Network Model for Non-smooth Optimization over a Compact Convex Subset. | Guocheng Li, Shiji Song, Cheng Wu, Zifang Du |
| 2006 | ISNN | Differential Inclusions-Based Neural Networks for Nonsmooth Convex Optimization on a Closed Convex Subset. | Shiji Song, Guocheng Li, Xiaohong Guan |
| 2005 | ICNC | A Neural Network for Constrained Saddle Point Problems: An Approximation Approach. | Xisheng Shen, Shiji Song, Lixin Cheng |