Song, Shiji

51 publications

NeurIPS 2025 Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning Shenzhi Wang, Le Yu, Chang Gao, Chujie Zheng, Shixuan Liu, Rui Lu, Kai Dang, Xiong-Hui Chen, Jianxin Yang, Zhenru Zhang, Yuqiong Liu, An Yang, Andrew Zhao, Yang Yue, Shiji Song, Bowen Yu, Gao Huang, Junyang Lin

CVPR 2025 CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning Yang Yue, Yulin Wang, Chenxin Tao, Pan Liu, Shiji Song, Gao Huang

NeurIPS 2025 Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? Yang Yue, Zhiqi Chen, Rui Lu, Andrew Zhao, Zhaokai Wang, Yang Yue, Shiji Song, Gao Huang

CVPR 2025 EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance Yang Yue, Yulin Wang, Haojun Jiang, Pan Liu, Shiji Song, Gao Huang

CVPR 2025 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

ICLR 2025 GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling Honghui Wang, Shiji Song, Gao Huang

AAAI 2024 A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation Haofeng Yuan, Lichang Fang, Shiji Song

ECCV 2024 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

NeurIPS 2024 Bridging the Divide: Reconsidering SoftMax and Linear Attention Dongchen Han, Yifan Pu, Zhuofan Xia, Yizeng Han, Xuran Pan, Xiu Li, Jiwen Lu, Shiji Song, Gao Huang

NeurIPS 2024 DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang

NeurIPS 2024 Demystify Mamba in Vision: A Linear Attention Perspective Dongchen Han, Ziyi Wang, Zhuofan Xia, Yizeng Han, Yifan Pu, Chunjiang Ge, Jun Song, Shiji Song, Bo Zheng, Gao Huang

ECCV 2024 DyFADet: Dynamic Feature Aggregation for Temporal Action Detection Le Yang, Ziwei Zheng, Yizeng Han, Hao Cheng, Shiji Song, Gao Huang, Fan Li

ECCV 2024 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

CVPR 2024 GSVA: Generalized Segmentation via Multimodal Large Language Models Zhuofan Xia, Dongchen Han, Yizeng Han, Xuran Pan, Shiji Song, Gao Huang

CVPR 2024 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

ECCV 2024 Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation Without Manual Labels Rui Huang, Songyou Peng, Ayca Takmaz, Federico Tombari, Marc Pollefeys, Shiji Song, Gao Huang, Francis Engelmann

CVPR 2024 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

ICCV 2023 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

ICML 2023 Boosting Offline Reinforcement Learning with Action Preference Query Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang

ICLR 2023 Budgeted Training for Vision Transformer Zhuofan Xia, Xuran Pan, Xuan Jin, Yuan He, Hui Xue', Shiji Song, Gao Huang

AAAI 2023 Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism Chunjiang Ge, Shiji Song, Gao Huang

ICCV 2023 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

ICCV 2023 EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang

ICCV 2023 FLatten Transformer: Vision Transformer Using Focused Linear Attention Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang

CVPR 2023 Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention Xuran Pan, Tianzhu Ye, Zhuofan Xia, Shiji Song, Gao Huang

NeurIPS 2023 Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning Shenzhi Wang, Qisen Yang, Jiawei Gao, Matthieu Lin, Hao Chen, Liwei Wu, Ning Jia, Shiji Song, Gao Huang

NeurIPS 2023 Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang

CVPR 2023 Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning Jiayi Guo, Chaofei Wang, You Wu, Eric Zhang, Kai Wang, Xingqian Xu, Shiji Song, Humphrey Shi, Gao Huang

ECCV 2022 ActiveNeRF: Learning Where to See with Uncertainty Estimation Xuran Pan, Zihang Lai, Shiji Song, Gao Huang

ECCV 2022 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

NeurIPS 2022 Contrastive Language-Image Pre-Training with Knowledge Graphs Xuran Pan, Tianzhu Ye, Dongchen Han, Shiji Song, Gao Huang

NeurIPS 2022 Efficient Knowledge Distillation from Model Checkpoints Chaofei Wang, Qisen Yang, Rui Huang, Shiji Song, Gao Huang

CVPR 2022 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

NeurIPS 2022 Latency-Aware Spatial-Wise Dynamic Networks Yizeng Han, Zhihang Yuan, Yifan Pu, Chenhao Xue, Shiji Song, Guangyu Sun, Gao Huang

ECCV 2022 Learning to Weight Samples for Dynamic Early-Exiting Networks Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfeng Cao, Wenhui Huang, Chao Deng, Gao Huang

CVPR 2022 On the Integration of Self-Attention and Convolution Xuran Pan, Chunjiang Ge, Rui Lu, Shiji Song, Guanfu Chen, Zeyi Huang, Gao Huang

CVPR 2022 Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding Haojun Jiang, Yuanze Lin, Dongchen Han, Shiji Song, Gao Huang

CVPR 2022 Vision Transformer with Deformable Attention Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang

CVPR 2021 3D Object Detection with Pointformer Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, Gao Huang

ICCV 2021 Adaptive Focus for Efficient Video Recognition Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang

CVPR 2021 CondenseNet V2: Sparse Feature Reactivation for Deep Networks Le Yang, Haojun Jiang, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian

NeurIPS 2021 Not All Images Are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition Yulin Wang, Rui Huang, Shiji Song, Zeyi Huang, Gao Huang

ICLR 2021 Revisiting Locally Supervised Learning: An Alternative to End-to-End Training Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang

ICCV 2021 Towards Learning Spatially Discriminative Feature Representations Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang

NeurIPS 2020 Glance and Focus: A Dynamic Approach to Reducing Spatial Redundancy in Image Classification Yulin Wang, Kangchen Lv, Rui Huang, Shiji Song, Le Yang, Gao Huang

NeurIPS 2019 Implicit Semantic Data Augmentation for Deep Networks Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Gao Huang, Cheng Wu

NeurIPS 2019 Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning Wenjie Shi, Shiji Song, Hui Wu, Ya-Chu Hsu, Cheng Wu, Gao Huang

IJCAI 2019 Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning Wenjie Shi, Shiji Song, Cheng Wu

AAAI 2015 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

AAAI 2015 Maximin Separation Probability Clustering Gao Huang, Jianwen Zhang, Shiji Song, Zheng Chen

ECML-PKDD 2014 Transductive Minimax Probability Machine Gao Huang, Shiji Song, Zhixiang Eddie Xu, Kilian Q. Weinberger