Jiang, Yong

48 publications

ICLRW 2025 Agentic Knowledgeable Self-Awareness Shuofei Qiao, Zhisong Qiu, Baochang Ren, Xiaobin Wang, Xiangyuan Ru, Ningyu Zhang, Xiang Chen, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

ICLR 2025 Benchmarking Agentic Workflow Generation Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

ICLRW 2025 Benchmarking Agentic Workflow Generation Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

ICLR 2025 Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-Adaptive Planning Agent Yangning Li, Yinghui Li, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinran Zheng, Hui Wang, Hai-Tao Zheng, Fei Huang, Jingren Zhou, Philip S. Yu

AAAI 2025 CALF: Aligning LLMs for Time Series Forecasting via Cross-Modal Fine-Tuning Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia

IJCAI 2025 Efficient Differentiable Approximation of Generalized Low-Rank Regularization Naiqi Li, Yuqiu Xie, Peiyuan Liu, Tao Dai, Yong Jiang, Shutao Xia

AAAI 2025 EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models Guanghao Meng, Sunan He, Jinpeng Wang, Tao Dai, Letian Zhang, Jieming Zhu, Qing Li, Gang Wang, Rui Zhang, Yong Jiang

ICML 2025 LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs – No Silver Bullet for LC or RAG Routing Kuan Li, Liwen Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Shuai Wang, Minhao Cheng

NeurIPS 2025 WebDancer: Towards Autonomous Information Seeking Agency Jialong Wu, Baixuan Li, Runnan Fang, Wenbiao Yin, Liwen Zhang, Zhenglin Wang, Zhengwei Tao, Ding-Chu Zhang, Zekun Xi, Xiangru Tang, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou

ICLRW 2025 WebWalker: Benchmarking LLMs in Web Traversal Jialong Wu, Wenbiao Yin, Yong Jiang, Zhenglin Wang, Zekun Xi, Runnan Fang, Linhai Zhang, Yulan He, Deyu Zhou, Pengjun Xie, Fei Huang

NeurIPS 2024 Agent Planning with World Knowledge Model Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

NeurIPS 2024 Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection Yu Zhang, Ruoyu Li, Nengwu Wu, Qing Li, Xinhan Lin, Yang Hu, Tao Li, Yong Jiang

AAAI 2024 EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-Commerce Yangning Li, Shirong Ma, Xiaobin Wang, Shen Huang, Chengyue Jiang, Haitao Zheng, Pengjun Xie, Fei Huang, Yong Jiang

IJCAI 2024 FactCHD: Benchmarking Fact-Conflicting Hallucination Detection Xiang Chen, Duanzheng Song, Honghao Gui, Chenxi Wang, Ningyu Zhang, Yong Jiang, Fei Huang, Chengfei Lyu, Dan Zhang, Huajun Chen

NeurIPSW 2024 MPLoRA: Orthogonal Multi-Path Low-Rank Adaptation for Parameter Efficient Fine-Tuning Junhan Shi, Fulin Wang, Qing Li, Yong Jiang

ICLR 2024 Periodicity Decoupling Framework for Long-Term Series Forecasting Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia

AAAI 2024 SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang

AAAI 2024 Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network Xuming Hu, Zhaochen Hong, Yong Jiang, Zhichao Lin, Xiaobin Wang, Pengjun Xie, Philip S. Yu

ICLR 2024 Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark Mengxi Ya, Yiming Li, Tao Dai, Bin Wang, Yong Jiang, Shu-Tao Xia

NeurIPS 2024 WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

NeurIPSW 2024 WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

ICLR 2024 What Makes Good Data for Alignment? a Comprehensive Study of Automatic Data Selection in Instruction Tuning Wei Liu, Weihao Zeng, Keqing He, Yong Jiang, Junxian He

ICLRW 2023 BackdoorBox: A Python Toolbox for Backdoor Learning Yiming Li, Mengxi Ya, Yang Bai, Yong Jiang, Shu-Tao Xia

AAAI 2023 Covariate-Shift Generalization via Random Sample Weighting Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui

NeurIPS 2023 Interpreting Unsupervised Anomaly Detection in Security via Rule Extraction Ruoyu Li, Qing Li, Yu Zhang, Dan Zhao, Yong Jiang, Yong Yang

NeurIPS 2023 Metis: Understanding and Enhancing In-Network Regular Expressions Zhengxin Zhang, Yucheng Huang, Guanglin Duan, Qing Li, Dan Zhao, Yong Jiang, Lianbo Ma, Xi Xiao, Hengyang Xu

IJCAI 2023 One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen

ICCV 2023 Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia

NeurIPSW 2022 BAAT: Towards Sample-Specific Backdoor Attack with Clean Labels Yiming Li, Mingyan Zhu, Chengxiao Luo, Haiqin Weng, Yong Jiang, Tao Wei, Shu-Tao Xia

UAI 2022 Deep Dirichlet Process Mixture Models Naiqi Li, Wenjie Li, Yong Jiang, Shu-Tao Xia

AAAI 2022 Defending Against Model Stealing via Verifying Embedded External Features Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao

ICLR 2022 Few-Shot Backdoor Attacks on Visual Object Tracking Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia

NeurIPS 2022 Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li

NeurIPS 2021 Clustering Effect of Adversarial Robust Models Yang Bai, Xin Yan, Yong Jiang, Shu-Tao Xia, Yisen Wang

ICMLW 2021 Defending Against Model Stealing via Verifying Embedded External Features Linghui Zhu, Yiming Li, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao

ICLR 2021 Improving Adversarial Robustness via Channel-Wise Activation Suppressing Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang

ICLR 2021 Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li

WACV 2021 Reducing the Annotation Effort for Video Object Segmentation Datasets Paul Voigtlaender, Lishu Luo, Chun Yuan, Yong Jiang, Bastian Leibe

ECCV 2020 Improving Query Efficiency of Black-Box Adversarial Attack Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo

NeurIPS 2020 Optimistic Dual Extrapolation for Coherent Non-Monotone Variational Inequalities Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma

NeurIPS 2020 Stochastic Deep Gaussian Processes over Graphs Naiqi Li, Wenjie Li, Jifeng Sun, Yinghua Gao, Yong Jiang, Shu-Tao Xia

NeurIPS 2020 Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization Chaobing Song, Yong Jiang, Yi Ma

IJCAI 2019 Automatic Grassland Degradation Estimation Using Deep Learning Xiyu Yan, Yong Jiang, Shuai Chen, Zihao He, Chunmei Li, Shu-Tao Xia, Tao Dai, Shuo Dong, Feng Zheng

AAAI 2019 Bidirectional Transition-Based Dependency Parsing Yunzhe Yuan, Yong Jiang, Kewei Tu

ICCVW 2019 Image Super-Resolution via Residual Block Attention Networks Tao Dai, Hua Zha, Yong Jiang, Shu-Tao Xia

AAAI 2018 Maximum a Posteriori Inference in Sum-Product Networks Jun Mei, Yong Jiang, Kewei Tu

NeurIPS 2017 Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex Chaobing Song, Shaobo Cui, Yong Jiang, Shu-Tao Xia

AAAI 2017 Latent Dependency Forest Models Shanbo Chu, Yong Jiang, Kewei Tu