Yin, Jianwei

23 publications

ICLR 2025 Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding Yanming Liu, Xinyue Peng, Jiannan Cao, Shi Bo, Yanxin Shen, Tianyu Du, Sheng Cheng, Xun Wang, Jianwei Yin, Xuhong Zhang

ICLR 2025 CollabEdit: Towards Non-Destructive Collaborative Knowledge Editing Jiamu Zheng, Jinghuai Zhang, Tianyu Du, Xuhong Zhang, Jianwei Yin, Tao Lin

NeurIPS 2025 CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment Qinfeng Li, Tianyue Luo, Xuhong Zhang, Yangfan Xie, Zhiqiang Shen, Lijun Zhang, Yier Jin, Hao Peng, Xinkui Zhao, XianWei Zhu, Jianwei Yin

AAAI 2025 DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models Yanming Liu, Xinyue Peng, Yuwei Zhang, Xiaolan Ke, Songhang Deng, Jiannan Cao, Chen Ma, Mengchen Fu, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du

AAAI 2025 DR-VAE: Debiased and Representation-Enhanced Variational Autoencoder for Collaborative Recommendation Fan Wang, Chaochao Chen, Weiming Liu, Minye Lei, Jintao Chen, Yuwen Liu, Xiaolin Zheng, Jianwei Yin

IJCAI 2025 Empowering Quantum Serverless Circuit Deployment Optimization via Graph Contrastive Learning and Learning-to-Rank Co-Designed Approaches Tingting Li, Ziming Zhao, Jianwei Yin

IJCAI 2025 Horae: A Domain-Agnostic Language for Automated Service Regulation Yutao Sun, Mingshuai Chen, Tiancheng Zhao, Kangjia Zhao, He Li, Jintao Chen, Zhongyi Wang, Liqiang Lu, Xinkui Zhao, Shuiguang Deng, Jianwei Yin

IJCAI 2025 Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization Yuntai Bao, Xuhong Zhang, Tianyu Du, Xinkui Zhao, Jiang Zong, Hao Peng, Jianwei Yin

ICLR 2025 Tool-Planner: Task Planning with Clusters Across Multiple Tools Yanming Liu, Xinyue Peng, Jiannan Cao, Shi Bo, Yuwei Zhang, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du

NeurIPS 2025 UMU-Bench: Closing the Modality Gap in Multimodal Unlearning Evaluation Chengye Wang, Yuyuan Li, XiaoHua Feng, Chaochao Chen, Xiaolin Zheng, Jianwei Yin

NeurIPS 2025 Walking the Schrödinger Bridge: A Direct Trajectory for Text-to-3D Generation Ziying Li, Xuequan Lu, Xinkui Zhao, Guanjie Cheng, Shuiguang Deng, Jianwei Yin

AAAI 2024 ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction Mengpu Liu, Mengying Zhu, Xiuyuan Wang, Guofang Ma, Jianwei Yin, Xiaolin Zheng

NeurIPS 2024 Enhancing LLM Reasoning via Vision-Augmented Prompting Ziyang Xiao, Dongxiang Zhang, Xiongwei Han, Xiaojin Fu, Wing Yin Yu, Tao Zhong, Sai Wu, Yuan Wang, Jianwei Yin, Gang Chen

AAAI 2024 Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward Mengyuan Yang, Mengying Zhu, Yan Wang, Linxun Chen, Yilei Zhao, Xiuyuan Wang, Bing Han, Xiaolin Zheng, Jianwei Yin

AAAI 2024 GroundVLP: Harnessing Zero-Shot Visual Grounding from Vision-Language Pre-Training and Open-Vocabulary Object Detection Haozhan Shen, Tiancheng Zhao, Mingwei Zhu, Jianwei Yin

AAAI 2024 Intra- and Inter-Group Optimal Transport for User-Oriented Fairness in Recommender Systems Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin

NeurIPS 2024 NovoBench: Benchmarking Deep Learning-Based \emph{De Novo} Sequencing Methods in Proteomics Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li

IJCAI 2024 Protecting Split Learning by Potential Energy Loss Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin

IJCAI 2023 Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng

AAAI 2023 Jointly Imputing Multi-View Data with Optimal Transport Yangyang Wu, Xiaoye Miao, Xinyu Huang, Jianwei Yin

AAAI 2023 Truthful Mechanisms for Steiner Tree Problems Jinshan Zhang, Zhengyang Liu, Xiaotie Deng, Jianwei Yin

AAAI 2021 Generative Semi-Supervised Learning for Multivariate Time Series Imputation Xiaoye Miao, Yangyang Wu, Jun Wang, Yunjun Gao, Xudong Mao, Jianwei Yin

IJCAI 2020 Joint Partial Optimal Transport for Open Set Domain Adaptation Renjun Xu, Pelen Liu, Yin Zhang, Fang Cai, Jindong Wang, Shuoying Liang, Heting Ying, Jianwei Yin