Liu, Jin

20 publications

IJCAI 2025 A Survey on the Feedback Mechanism of LLM-Based AI Agents Zhipeng Liu, Xuefeng Bai, Kehai Chen, Xinyang Chen, Xiucheng Li, Yang Xiang, Jin Liu, Hong-Dong Li, Yaowei Wang, Liqiang Nie, Min Zhang

ICML 2025 Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction Yinfeng Chen, Jin Liu, Rui Qiu

ICML 2025 Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging Junkang Liu, Yuanyuan Liu, Fanhua Shang, Hongying Liu, Jin Liu, Wei Feng

IJCAI 2025 OMS: One More Step Noise Searching to Enhance Membership Inference Attacks for Diffusion Models Xiaomeng Fu, Xi Wang, Qiao Li, Jin Liu, Jiao Dai, Jizhong Han, Xingyu Gao

IJCAI 2025 Stability and Generalization for Stochastic (Compositional) Optimizations Xiaokang Pan, Jin Liu, Hulin Kuang, Youqi Li, Lixing Chen, Zhe Qu

CoRL 2025 UniTac2Pose: A Unified Approach Learned in Simulation for Category-Level Visuotactile In-Hand Pose Estimation Mingdong Wu, Long Yang, Jin Liu, Weiyao Huang, Lehong Wu, Zelin Chen, Daolin Ma, Hao Dong

IJCAI 2025 Volumetric Axial Disentanglement Enabling Advancing in Medical Image Segmentation Xingru Huang, Jian Huang, Yihao Guo, Tianyun Zhang, Zhao Huang, Yaqi Wang, Ruipu Tang, Guangliang Cheng, Shaowei Jiang, Zhiwen Zheng, Jin Liu, Renjie Ruan, Xiaoshuai Zhang

ICLR 2024 Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption Through Multi-Armed Bandit Duanyi Yao, Songze Li, Ye Xue, Jin Liu

AAAI 2024 Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization Jin Liu, Xiaokang Pan, Junwen Duan, Hongdong Li, Youqi Li, Zhe Qu

NeurIPS 2024 Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation Hongbo Wang, Jie Cao, Jin Liu, Xiaoqiang Zhou, Huaibo Huang, Ran He

JMLR 2024 Inference on High-Dimensional Single-Index Models with Streaming Data Dongxiao Han, Jinhan Xie, Jin Liu, Liuquan Sun, Jian Huang, Bei Jiang, Linglong Kong

AAAI 2024 Region-Aware Exposure Consistency Network for Mixed Exposure Correction Jin Liu, Huiyuan Fu, Chuanming Wang, Huadong Ma

ICML 2024 Stability and Generalization for Stochastic Recursive Momentum-Based Algorithms for (Strongly-)Convex One to $k$-Level Stochastic Optimizations Xiaokang Pan, Xingyu Li, Jin Liu, Tao Sun, Kai Sun, Lixing Chen, Zhe Qu

CVPR 2023 Adaptive Graph Convolutional Subspace Clustering Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu

ICML 2023 FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models Songze Li, Duanyi Yao, Jin Liu

ACML 2022 Circulant-Interactive Transformer with Dimension-Aware Fusion for Multimodal Sentiment Analysis Peizhu Gong, Jin Liu, Xiliang Zhang, Xingye Li, Zijun Yu

ICCV 2021 Rational Polynomial Camera Model Warping for Deep Learning Based Satellite Multi-View Stereo Matching Jian Gao, Jin Liu, Shunping Ji

IJCAI 2020 Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models Pingchuan Ma, Shuai Wang, Jin Liu

ICCV 2017 Saliency Pattern Detection by Ranking Structured Trees Lei Zhu, Haibin Ling, Jin Wu, Huiping Deng, Jin Liu

CVPR 1993 Using Topological Information of Images to Improve Stereo Matching Jin Liu, Shaoguang Huang