Guo, Song

48 publications

ICLR 2025 Causally Motivated Sycophancy Mitigation for Large Language Models Haoxi Li, Xueyang Tang, Jie Zhang, Song Guo, Sikai Bai, Peiran Dong, Yue Yu
AAAI 2025 DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement Qihua Zhou, Ruibin Li, Jingcai Guo, Yaodong Huang, Zhenda Xu, Laizhong Cui, Song Guo
NeurIPS 2025 DiEP: Adaptive Mixture-of-Experts Compression Through Differentiable Expert Pruning Sikai Bai, Haoxi Li, Jie Zhang, Zicong Hong, Song Guo
ICLR 2025 Durable Quantization Conditioned Misalignment Attack on Large Language Models Peiran Dong, Haowei Li, Song Guo
ICCV 2025 Enhancing Transferability of Targeted Adversarial Examples via Inverse Target Gradient Competition and Spatial Distance Stretching Zhankai Li, Weiping Wang, Jie Li, Shigeng Zhang, Yunan Hu, Song Guo
AAAI 2025 Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning Ziming Liu, Jingcai Guo, Song Guo, Xiaocheng Lu
ICLR 2025 Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View Xuan Liu, Jie Zhang, HaoYang Shang, Song Guo, Chengxu Yang, Quanyan Zhu
ICML 2025 FreeMesh: Boosting Mesh Generation with Coordinates Merging Jian Liu, Haohan Weng, Biwen Lei, Xianghui Yang, Zibo Zhao, Zhuo Chen, Song Guo, Tao Han, Chunchao Guo
NeurIPS 2025 ICLScan: Detecting Backdoors in Black-Box Large Language Models via Targeted In-Context Illumination Xiaoyi Pang, Xuanyi Hao, Song Guo, Qi Luo, Zhibo Wang
ICCV 2025 IRASim: A Fine-Grained World Model for Robot Manipulation Fangqi Zhu, Hongtao Wu, Song Guo, Yuxiao Liu, Chilam Cheang, Tao Kong
ICCV 2025 InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Tao Han, Wanghan Xu, Junchao Gong, Xiaoyu Yue, Song Guo, Luping Zhou, Lei Bai
NeurIPS 2025 Mesh-RFT: Enhancing Mesh Generation via Fine-Grained Reinforcement Fine-Tuning Jian Liu, Jing Xu, Song Guo, Jing Li, Guojingfeng, Jiaao Yu, Haohan Weng, Biwen Lei, Xianghui Yang, Zhuo Chen, Fangqi Zhu, Tao Han, Chunchao Guo
AAAI 2025 Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion Xuan Liu, Siqi Cai, Qihua Zhou, Song Guo, Ruibin Li, Kaiwei Lin
CVPR 2025 Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition Yang Chen, Jingcai Guo, Song Guo, Dacheng Tao
CVPR 2025 RORem: Training a Robust Object Remover with Human-in-the-Loop Ruibin Li, Tao Yang, Song Guo, Lei Zhang
IJCAI 2025 TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning Miaoge Li, Jingcai Guo, Richard Yi Da Xu, Dongsheng Wang, Xiaofeng Cao, Zhijie Rao, Song Guo
NeurIPSW 2024 A Biosafety-Aware Framework for Generative Enzyme Design with Foundation Models Xiaoyi Fu, Tao Han, Yuan Yao, Song Guo
ICML 2024 Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models Jie Zhang, Xiaosong Ma, Song Guo, Peng Li, Wenchao Xu, Xueyang Tang, Zicong Hong
CVPR 2024 C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Song Guo
ICML 2024 Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, Yue Yu
NeurIPS 2024 Cross-Modal Representation Flattening for Multi-Modal Domain Generalization Yunfeng Fan, Wenchao Xu, Haohao Wang, Song Guo
CVPR 2024 DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning Sikai Bai, Jie Zhang, Song Guo, Shuaicheng Li, Jingcai Guo, Jun Hou, Tao Han, Xiaocheng Lu
ICML 2024 Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring Jiewei Zhang, Song Guo, Peiran Dong, Jie Zhang, Ziming Liu, Yue Yu, Xiao-Ming Wu
ICLR 2024 Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients Xueyang Tang, Song Guo, Jie Zhang, Jingcai Guo
AAAI 2024 On the Robustness of Neural-Enhanced Video Streaming Against Adversarial Attacks Qihua Zhou, Jingcai Guo, Song Guo, Ruibin Li, Jie Zhang, Bingjie Wang, Zhenda Xu
ECCV 2024 Overcome Modal Bias in Multi-Modal Federated Learning via Balanced Modality Selection Yunfeng Fan, Wenchao Xu, Haozhao Wang, Fushuo Huo, Jinyu Chen, Song Guo
IJCAI 2024 ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo
ICLRW 2024 Posterior Probability-Based Label Recovery Attack in Federated Learning Rui Zhang, Song Guo, Ping Li
AAAI 2024 ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu
ECCV 2024 Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models Ruibin Li, Ruihuang Li, Song Guo, Lei Zhang
NeurIPS 2024 Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing Peiran Dong, Bingjie Wang, Song Guo, Junxiao Wang, Jie Zhang, Zicong Hong
CVPR 2023 (ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning Ziming Liu, Song Guo, Xiaocheng Lu, Jingcai Guo, Jiewei Zhang, Yue Zeng, Fushuo Huo
ICML 2023 Anchor Sampling for Federated Learning with Partial Client Participation Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao
ICCV 2023 Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso Under Information Bottleneck Principle Song Guo, Lei Zhang, Xiawu Zheng, Yan Wang, Yuchao Li, Fei Chao, Chenglin Wu, Shengchuan Zhang, Rongrong Ji
CVPR 2023 Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning Xiaocheng Lu, Song Guo, Ziming Liu, Jingcai Guo
AAAI 2023 Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo
AAAI 2023 MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract) Xuan Liu, Siqi Cai, Lin Li, Rui Zhang, Song Guo
AAAI 2023 PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Zhenda Xu, Jingren Zhou
CVPR 2023 PMR: Prototypical Modal Rebalance for Multimodal Learning Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junxiao Wang, Song Guo
NeurIPS 2023 SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models Xiaosong Ma, Jie Zhang, Song Guo, Wenchao Xu
NeurIPS 2023 Towards Test-Time Refusals via Concept Negation Peiran Dong, Song Guo, Junxiao Wang, Bingjie Wang, Jiewei Zhang, Ziming Liu
ICML 2023 Towards Unbiased Training in Federated Open-World Semi-Supervised Learning Jie Zhang, Xiaosong Ma, Song Guo, Wenchao Xu
IJCAI 2022 A Survey on Gradient Inversion: Attacks, Defenses and Future Directions Rui Zhang, Song Guo, Junxiao Wang, Xin Xie, Dacheng Tao
NeurIPS 2022 Hierarchical Channel-Spatial Encoding for Communication-Efficient Collaborative Learning Qihua Zhou, Song Guo, Yi Liu, Jie Zhang, Jiewei Zhang, Tao Guo, Zhenda Xu, Xun Liu, Zhihao Qu
CVPR 2022 Layer-Wised Model Aggregation for Personalized Federated Learning Xiaosong Ma, Jie Zhang, Song Guo, Wenchao Xu
IJCAI 2022 Personalized Federated Learning with Contextualized Generalization Xueyang Tang, Song Guo, Jingcai Guo
CVPR 2021 Online Multiple Object Tracking with Cross-Task Synergy Song Guo, Jingya Wang, Xinchao Wang, Dacheng Tao
NeurIPS 2021 Parameterized Knowledge Transfer for Personalized Federated Learning Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu