Jiang, Jing

76 publications

AAAI 2025 Bridge Then Begin Anew: Generating Target-Relevant Intermediate Model for Source-Free Visual Emotion Adaptation Jiankun Zhu, Sicheng Zhao, Jing Jiang, Wenbo Tang, Zhaopan Xu, Tingting Han, Pengfei Xu, Hongxun Yao

ICLR 2025 Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin

CVPR 2025 DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models Haoyang Li, Liang Wang, Chao Wang, Jing Jiang, Yan Peng, Guodong Long

AAAI 2025 Federated Foundation Models on Heterogeneous Time Series Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang

IJCAI 2025 Federated Low-Rank Adaptation for Foundation Models: A Survey Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang, Chengqi Zhang

NeurIPS 2025 PIVNO: Particle Image Velocimetry Neural Operator Jie Xu, Xuesong Zhang, Jing Jiang, Qinghua Cui

AAAI 2025 Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang

ICLR 2025 RegMix: Data Mixture as Regression for Language Model Pre-Training Qian Liu, Xiaosen Zheng, Niklas Muennighoff, Guangtao Zeng, Longxu Dou, Tianyu Pang, Jing Jiang, Min Lin

AAAI 2025 SPASCA: Social Presence and Support with Conversational Agent for Persons Living with Dementia Ali Köksal, Jingjing Gu, Kotaro Hara, Jing Jiang, Joo-Hwee Lim, Qianli Xu

NeurIPS 2025 WALL-E: World Alignment by NeuroSymbolic Learning Improves World Model-Based LLM Agents Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang

ICML 2024 Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast Xiangming Gu, Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Ye Wang, Jing Jiang, Min Lin

ICLRW 2024 Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast Xiangming Gu, Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Ye Wang, Jing Jiang, Min Lin

NeurIPSW 2024 Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin

NeurIPS 2024 Dual-Personalizing Adapter for Federated Foundation Models Yiyuan Yang, Guodong Long, Tao Shen, Jing Jiang, Michael Blumenstein

CVPR 2024 Embodied Multi-Modal Agent Trained by an LLM from a Parallel TextWorld Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi

IJCAI 2024 Federated Prompt Learning for Weather Foundation Models on Devices Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang

ICML 2024 GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding Cunxiao Du, Jing Jiang, Xu Yuanchen, Jiawei Wu, Sicheng Yu, Yongqi Li, Shenggui Li, Kai Xu, Liqiang Nie, Zhaopeng Tu, Yang You

NeurIPS 2024 Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin

ICMLW 2024 Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin

ICLR 2024 Intriguing Properties of Data Attribution on Diffusion Models Xiaosen Zheng, Tianyu Pang, Chao Du, Jing Jiang, Min Lin

NeurIPS 2024 Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang

IJCAI 2024 Social Learning Through Interactions with Other Agents: A Survey Dylan Hillier, Cheston Tan, Jing Jiang

IJCAI 2024 What Hides Behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang

AAAI 2023 Adaptive Policy Learning for Offline-to-Online Reinforcement Learning Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang

TMLR 2023 Causal Reinforcement Learning: A Survey Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang

ICML 2023 Continual Task Allocation in Meta-Policy Network via Sparse Prompting Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi

ICML 2023 Does Continual Learning Equally Forget All Parameters? Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

AAAI 2023 Federated Learning on Non-IID Graphs via Structural Knowledge Sharing Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang

IJCAI 2023 Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang

NeurIPS 2023 Structured Federated Learning Through Clustered Additive Modeling Jie Ma, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

NeurIPS 2023 Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin

ECML-PKDD 2023 Voting from Nearest Tasks: Meta-Vote Pruning of Pre-Trained Models for Downstream Tasks Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

ICML 2022 EAT-C: Environment-Adversarial Sub-Task Curriculum for Efficient Reinforcement Learning Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang

TMLR 2022 Extracting Local Reasoning Chains of Deep Neural Networks Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

AAAI 2022 FedProto: Federated Prototype Learning Across Heterogeneous Clients Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang

NeurIPS 2022 Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang

ICMLW 2022 Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang

ICLR 2022 Omni-Scale CNNs: A Simple and Effective Kernel Size Configuration for Time Series Classification Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang

ICLR 2022 Pareto Policy Pool for Model-Based Offline Reinforcement Learning Yijun Yang, Jing Jiang, Tianyi Zhou, Jie Ma, Yuhui Shi

IJCAI 2022 Personalized Federated Learning with a Graph Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang

TMLR 2022 SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long

ICMLW 2022 Vote for Nearest Neighbors Meta-Pruning of Self-Supervised Networks Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

IJCAI 2021 A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen

ICLR 2021 A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle

ICMLW 2021 Attention-Guided Black-Box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization Jie Wang, Zhaoxia Yin, Jing Jiang, Yang Du

NeurIPS 2021 CO-PILOT: COllaborative Planning and reInforcement Learning on Sub-Task Curriculum Shuang Ao, Tianyi Zhou, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang

ICLR 2021 Isometric Propagation Network for Generalized Zero-Shot Learning Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang

ICML 2021 Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation Cunxiao Du, Zhaopeng Tu, Jing Jiang

AAAI 2020 Attribute Propagation Network for Graph Zero-Shot Learning Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

ECML-PKDD 2020 Confusable Learning for Large-Class Few-Shot Classification Bingcong Li, Bo Han, Zhuowei Wang, Jing Jiang, Guodong Long

NeurIPS 2020 Cooperative Heterogeneous Deep Reinforcement Learning Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang

IJCAI 2020 Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang

AAAI 2020 Going Deep: Graph Convolutional Ladder-Shape Networks Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang

AAAI 2020 Interpretable Rumor Detection in Microblogs by Attending to User Interactions Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian, Jing Jiang

NeurIPS 2020 MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

AAAI 2020 Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu

ECML-PKDD 2020 Self-Attention Enhanced Patient Journey Understanding in Healthcare System Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang

AAAI 2020 Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang

IJCAI 2019 Adapting BERT for Target-Oriented Multimodal Sentiment Classification Jianfei Yu, Jing Jiang

IJCAI 2019 Attributed Graph Clustering: A Deep Attentional Embedding Approach Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang

ICCVW 2019 Factorizing and Reconstituting Large-Kernel MBConv for Lightweight Face Recognition Yaqi Lyu, Jing Jiang, Kun Zhang, Yilun Hua, Miao Cheng

IJCAI 2019 Graph WaveNet for Deep Spatial-Temporal Graph Modeling Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang

IJCAI 2019 Knowledge Base Question Answering with Topic Units Yunshi Lan, Shuohang Wang, Jing Jiang

NeurIPS 2019 Learning to Propagate for Graph Meta-Learning Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

IJCAI 2019 Prototype Propagation Networks (PPN) for Weakly-Supervised Few-Shot Learning on Category Graph Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang

IJCAI 2018 Adversarially Regularized Graph Autoencoder for Graph Embedding Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang

ICLR 2018 Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

AAAI 2018 DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang

ICLR 2018 Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell

AAAI 2018 R3: Reinforced Ranker-Reader for Open-Domain Question Answering Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang

IJCAI 2018 Reinforced Self-Attention Network: A Hybrid of Hard and Soft Attention for Sequence Modeling Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang

ICLR 2017 A Compare-Aggregate Model for Matching Text Sequences Shuohang Wang, Jing Jiang

ICLR 2017 Machine Comprehension Using Match-LSTM and Answer Pointer Shuohang Wang, Jing Jiang

AAAI 2017 Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target Extraction Ying Ding, Jianfei Yu, Jing Jiang

IJCAI 2015 Topic Modeling with Document Relative Similarities Jianguang Du, Jing Jiang, Dandan Song, Lejian Liao

AAAI 2014 Lifetime Lexical Variation in Social Media Lizi Liao, Jing Jiang, Ying Ding, Heyan Huang, Ee-Peng Lim