Jie Fu

ORCID

Publication Activity (10 Years)

Years Active: 1990-2025
Publications (10 Years): 341

Top Venues

Publications

Xinpeng Ling, Jie Fu, Kuncan Wang, Haitao Liu, Zhili Chen
ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations. WoWMoM (2025)
Ge Zhang, Xinrun Du, Bei Chen, Yiming Liang, Tongxu Luo, Tianyu Zheng, Kang Zhu, Yuyang Cheng, Chunpu Xu, Shuyue Guo, Haoran Zhang, Xingwei Qu, Junjie Wang, Ruibin Yuan, Yizhi Li, Zekun Wang, Yudong Liu, Yu-Hsuan Tsai, Fengji Zhang, Chenghua Lin, Wenhao Huang, Wenhu Chen, Jie Fu
CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark. CoRR (2024)
Ka Man Lo, Yiming Liang, Wenyu Du, Yuantao Fan, Zili Wang, Wenhao Huang, Lei Ma, Jie Fu
m2mKD: Module-to-Module Knowledge Distillation for Modular Transformers. CoRR (2024)
Isabelle Mohr, Markus Krimmel, Saba Sturua, Mohammad Kalim Akram, Andreas Koukounas, Michael Günther, Georgios Mastrapas, Vinit Ravishankar, Joan Fontanals Martínez, Feng Wang, Qi Liu, Ziniu Yu, Jie Fu, Saahil Ognawala, Susana Guzman, Bo Wang, Maximilian Werk, Nan Wang, Han Xiao
Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings. CoRR (2024)
Geying Yang, Jinyu Wu, Lina Wang, Qinghao Wang, Xiaowen Liu, Jie Fu
A novel fusion feature imageization with improved extreme learning machine for network anomaly detection. Appl. Intell. 54 (19) (2024)
Siwei Wu, Yizhi Li, Kang Zhu, Ge Zhang, Yiming Liang, Kaijing Ma, Chenghao Xiao, Haoran Zhang, Bohao Yang, Wenhu Chen, Wenhao Huang, Noura Al Moubayed, Jie Fu, Chenghua Lin
SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. ACL (Findings) (2024)
Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, Zhiqi Bai, Jiakai Wang, Yuanxing Zhang, Xu Tan, Jie Fu, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models. CoRR (2024)
Jie Fu, Junyu Gao, Bing-Kun Bao, Changsheng Xu
Multimodal Imbalance-Aware Gradient Modulation for Weakly-Supervised Audio-Visual Video Parsing. IEEE Trans. Circuits Syst. Video Technol. 34 (6) (2024)
Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation. CoRR (2024)
Huifa Li, Jie Fu, Zhili Chen, Xiaomin Yang, Haitao Liu, Xinpeng Ling
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-Cell Clustering. ICIC (LNBI 1) (2024)
Haoxiang Ma, Chongyang Shi, Shuo Han, Michael R. Dorothy, Jie Fu
Covert Planning aganist Imperfect Observers. AAMAS (2024)
Wenyu Du, Shuang Cheng, Tongxu Luo, Zihan Qiu, Zeyu Huang, Ka Chun Cheung, Reynold Cheng, Jie Fu
Unlocking Continual Learning Abilities in Language Models. CoRR (2024)
Binbin Fan, Xunpeng Qin, Qiang Wu, Jie Fu, Zhongliang Hu, Zhe Wang
Instance segmentation algorithm for sorting dismantling components of end-of-life vehicles. Eng. Appl. Artif. Intell. 133 (2024)
Xun Ran, Qingqing Ye, Haibo Hu, Xin Huang, Jianliang Xu, Jie Fu
Differentially Private Graph Neural Networks for Link Prediction. ICDE (2024)
Yonggang Jin, Ge Zhang, Hao Zhao, Tianyu Zheng, Jiawei Guo, Liuyu Xiang, Shawn Yue, Stephen W. Huang, Wenhu Chen, Zhaofeng He, Jie Fu
Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction. CoRR (2024)
Yuelin Bai, Xinrun Du, Yiming Liang, Yonggang Jin, Ziqiang Liu, Junting Zhou, Tianyu Zheng, Xincheng Zhang, Nuo Ma, Zekun Wang, Ruibin Yuan, Haihong Wu, Hongquan Lin, Wenhao Huang, Jiajun Zhang, Wenhu Chen, Chenghua Lin, Jie Fu, Min Yang, Shiwen Ni, Ge Zhang
COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning. CoRR (2024)
Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Zekun Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Stephen W. Huang, Chenghua Lin, Wenhu Chen, Jie Fu
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. CoRR (2024)
Siwei Wu, Yizhi Li, Kang Zhu, Ge Zhang, Yiming Liang, Kaijing Ma, Chenghao Xiao, Haoran Zhang, Bohao Yang, Wenhu Chen, Wenhao Huang, Noura Al Moubayed, Jie Fu, Chenghua Lin
SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. CoRR (2024)
Benyou Wang, Qianqian Xie, Jiahuan Pei, Zhihong Chen, Prayag Tiwari, Zhao Li, Jie Fu
Pre-trained Language Models in Biomedical Domain: A Systematic Survey. ACM Comput. Surv. 56 (3) (2024)
Ruibin Yuan, Hanfeng Lin, Yi Wang, Zeyue Tian, Shangda Wu, Tianhao Shen, Ge Zhang, Yuhang Wu, Cong Liu, Ziya Zhou, Liumeng Xue, Ziyang Ma, Qin Liu, Tianyu Zheng, Yizhi Li, Yinghao Ma, Yiming Liang, Xiaowei Chi, Ruibo Liu, Zili Wang, Chenghua Lin, Qifeng Liu, Tao Jiang, Wenhao Huang, Wenhu Chen, Jie Fu, Emmanouil Benetos, Gus Xia, Roger B. Dannenberg, Wei Xue, Shiyin Kang, Yike Guo
ChatMusician: Understanding and Generating Music Intrinsically with LLM. ACL (Findings) (2024)
Xingwei Qu, Yuelin Bai, Yinghao Ma, Ziya Zhou, Ka Man Lo, Jiaheng Liu, Ruibin Yuan, Lejun Min, Xueling Liu, Tianyu Zhang, Xinrun Du, Shuyue Guo, Yiming Liang, Yizhi Li, Shangda Wu, Junting Zhou, Tianyu Zheng, Ziyang Ma, Fengze Han, Wei Xue, Gus Xia, Emmanouil Benetos, Xiang Yue, Chenghua Lin, Xu Tan, Stephen W. Huang, Wenhu Chen, Jie Fu, Ge Zhang
MuPT: A Generative Symbolic Music Pretrained Transformer. CoRR (2024)
Jie Fu, Yuan Hong, Xinpeng Ling, Leixia Wang, Xun Ran, Zhiyu Sun, Wendy Hui Wang, Zhili Chen, Yang Cao
Differentially Private Federated Learning: A Systematic Review. CoRR (2024)
Yujie Shao, Xinrong Yao, Xingwei Qu, Chenghua Lin, Shi Wang, Wenhao Huang, Ge Zhang, Jie Fu
CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation. LREC/COLING (2024)
Wenyu Du, Tongxu Luo, Zihan Qiu, Zeyu Huang, Yikang Shen, Reynold Cheng, Yike Guo, Jie Fu
Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training. CoRR (2024)
Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release. Proc. VLDB Endow. 17 (6) (2024)
Chongyang Shi, Yuheng Bu, Jie Fu
Information-Theoretic Opacity-Enforcement in Markov Decision Processes. CoRR (2024)
Zihan Qiu, Zeyu Huang, Youcheng Huang, Jie Fu
Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers. Tiny Papers @ ICLR (2024)
Jiaheng Liu, Zhiqi Bai, Yuanxing Zhang, Chenchen Zhang, Yu Zhang, Ge Zhang, Jiakai Wang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models. CoRR (2024)
Shuai Zhao, Luu Anh Tuan, Jie Fu, Jinming Wen, Weiqi Luo
Exploring Clean Label Backdoor Attacks and Defense in Language Models. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Shuai Zhao, Meihuizi Jia, Zhongliang Guo, Leilei Gan, Jie Fu, Yichao Feng, Fengjun Pan, Luu Anh Tuan
A Survey of Backdoor Attacks and Defenses on Large Language Models: Implications for Security Measures. CoRR (2024)
Junjie Wang, Yin Zhang, Yatai Ji, Yuxiang Zhang, Chunyang Jiang, Yubo Wang, Kang Zhu, Zekun Wang, Tiezhen Wang, Wenhao Huang, Jie Fu, Bei Chen, Qunshu Lin, Minghao Liu, Ge Zhang, Wenhu Chen
PIN: A Knowledge-Intensive Dataset for Paired and Interleaved Multimodal Documents. CoRR (2024)
Zihan Qiu, Zeyu Huang, Jie Fu
Unlocking Emergent Modularity in Large Language Models. NAACL-HLT (2024)
Haoze Wu, Zihan Qiu, Zili Wang, Hang Zhao, Jie Fu
GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theory. CoRR (2024)
Xinyu Zhou, Boris Knyazev, Alexia Jolicoeur-Martineau, Jie Fu
LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters. CoRR (2024)
Ruiyuan Zhang, Jiaxiang Liu, Zexi Li, Hao Dong, Jie Fu, Chao Wu
Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers. AAAI (2024)
Noah Wang, Z. y. Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Jian Yang, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhao Huang, Jie Fu, Junran Peng
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. ACL (Findings) (2024)
Qixin Deng, Qikai Yang, Ruibin Yuan, Yipeng Huang, Yi Wang, Xubo Liu, Zeyue Tian, Jiahao Pan, Ge Zhang, Hanfeng Lin, Yizhi Li, Yinghao Ma, Jie Fu, Chenghua Lin, Emmanouil Benetos, Wenwu Wang, Guangyu Xia, Wei Xue, Yike Guo
ComposerX: Multi-Agent Symbolic Music Composition with LLMs. CoRR (2024)
Hazhar Rahmani, Abhishek Ninad Kulkarni, Jie Fu
Preference-Based Planning in Stochastic Environments: From Partially-Ordered Temporal Goals to Most Preferred Policies. CoRR (2024)
Xingwei Qu, Yiming Liang, Yucheng Wang, Tianyu Zheng, Tommy Yue, Lei Ma, Stephen W. Huang, Jiajun Zhang, Wenhu Chen, Chenghua Lin, Jie Fu, Ge Zhang
DEEP-ICL: Definition-Enriched Experts for Language Model In-Context Learning. CoRR (2024)
Shuai Zhao, Leilei Gan, Luu Anh Tuan, Jie Fu, Lingjuan Lyu, Meihuizi Jia, Jinming Wen
Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning. CoRR (2024)
Shuo Wu, Haoxiang Ma, Jie Fu, Shuo Han
Robust Reward Design for Markov Decision Processes. CoRR (2024)
Chi-Min Chan, Chunpu Xu, Ruibin Yuan, Hongyin Luo, Wei Xue, Yike Guo, Jie Fu
RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation. CoRR (2024)
Jun Zhan, Junqi Dai, Jiasheng Ye, Yunhua Zhou, Dong Zhang, Zhigeng Liu, Xin Zhang, Ruibin Yuan, Ge Zhang, Linyang Li, Hang Yan, Jie Fu, Tao Gui, Tianxiang Sun, Yugang Jiang, Xipeng Qiu
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. CoRR (2024)
Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio
VCR: Visual Caption Restoration. CoRR (2024)
Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Noah Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Wenhao Huang, Chenghua Lin, Jie Fu
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. ACL (Findings) (2024)
Hao Zhao, Zihan Qiu, Huijia Wu, Zili Wang, Zhaofeng He, Jie Fu
HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts. ACL (1) (2024)
Ruibin Yuan, Hanfeng Lin, Yi Wang, Zeyue Tian, Shangda Wu, Tianhao Shen, Ge Zhang, Yuhang Wu, Cong Liu, Ziya Zhou, Ziyang Ma, Liumeng Xue, Ziyu Wang, Qin Liu, Tianyu Zheng, Yizhi Li, Yinghao Ma, Yiming Liang, Xiaowei Chi, Ruibo Liu, Zili Wang, Pengfei Li, Jingcheng Wu, Chenghua Lin, Qifeng Liu, Tao Jiang, Wenhao Huang, Wenhu Chen, Emmanouil Benetos, Jie Fu, Gus Xia, Roger B. Dannenberg, Wei Xue, Shiyin Kang, Yike Guo
ChatMusician: Understanding and Generating Music Intrinsically with LLM. CoRR (2024)
Alex Zhuang, Ge Zhang, Tianyu Zheng, Xinrun Du, Junjie Wang, Weiming Ren, Stephen W. Huang, Jie Fu, Xiang Yue, Wenhu Chen
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding. CoRR (2024)
Jiaheng Liu, ZhiqiBai ZhiqiBai, Yuanxing Zhang, Chenchen Zhang, YuangZh YuangZh, Ge Zhang, JiakaiWang JiakaiWang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng
E2-LLM: Efficient and Extreme Length Extension of Large Language Models. ACL (Findings) (2024)
Yuanhao Cheng, Yunhe Cao, Tat Soon Yeo, Yulin Zhang, Jie Fu
Variation Bayesian Interference for Multiple Extended Targets or Unresolved Group Targets Tracking. CoRR (2024)
Dongying Gao, Renjie Su, Helin Zhang, Jie Fu, Hang Zhang
A data tamper-proof method of cloud computing platform based on blockchain. Int. J. Inf. Commun. Technol. 24 (4) (2024)
Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. CoRR (2024)
Chenghao Xiao, Zhuoxu Huang, Danlu Chen, G. Thomas Hudson, Yizhi Li, Haoran Duan, Chenghua Lin, Jie Fu, Jungong Han, Noura Al Moubayed
Pixel Sentence Representation Learning. CoRR (2024)
Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs. ICLR (2024)
Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. ICLR (2024)
Yujie Shao, Xinrong Yao, Xingwei Qu, Chenghua Lin, Shi Wang, Stephen W. Huang, Ge Zhang, Jie Fu
CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation. CoRR (2024)
Xinpeng Ling, Jie Fu, Zhili Chen, Kuncan Wang, Huifa Li, Tong Cheng, Guanying Xu, Qin Li
FedFDP: Federated Learning with Fairness and Differential Privacy. CoRR (2024)
Songyang Han, Shanglin Zhou, Jiangwei Wang, Lynn Pepin, Caiwen Ding, Jie Fu, Fei Miao
A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 25 (5) (2024)
Lukas Vierling, Jie Fu, Kai Chen
Input Conditioned Graph Generation for Language Agents. CoRR (2024)
Yiduo Guo, Jie Fu, Huishuai Zhang, Dongyan Zhao, Yikang Shen
Efficient Continual Pre-training by Mitigating the Stability Gap. CoRR (2024)
Jianzhi Liu, Hexiang Gu, Tianyu Zheng, Liuyu Xiang, Huijia Wu, Jie Fu, Zhaofeng He
Dynamic Generation of Personalities with Large Language Models. CoRR (2024)
Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. ACL (Findings) (2024)
Jiawei Guo, Ziming Li, Xueling Liu, Kaijing Ma, Tianyu Zheng, Zhouliang Yu, Ding Pan, Yizhi Li, Ruibo Liu, Yue Wang, Shuyue Guo, Xingwei Qu, Xiang Yue, Ge Zhang, Wenhu Chen, Jie Fu
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models. CoRR (2024)
Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR (2024)
Tianyu Zheng, Shuyue Guo, Xingwei Qu, Jiawei Guo, Weixu Zhang, Xinrun Du, Chenghua Lin, Wenhao Huang, Wenhu Chen, Jie Fu, Ge Zhang
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation. CoRR (2024)
Sumukha Udupa, Jie Fu
Planning with Probabilistic Opacity and Transparency: A Computational Model of Opaque/Transparent Observations. CoRR (2024)
Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghao Xiao, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger B. Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Zili Wang, Yike Guo, Jie Fu
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. ICLR (2024)
Chenmien Tan, Ge Zhang, Jie Fu
Massive Editing for Large Language Models via Meta Learning. ICLR (2024)
Abhishek Ninad Kulkarni, Matthew S. Cohen, Charles A. Kamhoua, Jie Fu
Integrated Resource Allocation and Strategy Synthesis in Safety Games on Graphs with Deception. CoRR (2024)
Hao Zhao, Zihan Qiu, Huijia Wu, Zili Wang, Zhaofeng He, Jie Fu
HyperMoE: Paying Attention to Unselected Experts in Mixture of Experts via Dynamic Transfer. CoRR (2024)
Zihan Qiu, Zeyu Huang, Youcheng Huang, Jie Fu
Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers. CoRR (2024)
Yufan Hu, Jie Fu, Mengyuan Chen, Junyu Gao, Jianfeng Dong, Bin Fan, Hongmin Liu
Learning Proposal-Aware Re-Ranking for Weakly-Supervised Temporal Action Localization. IEEE Trans. Circuits Syst. Video Technol. 34 (1) (2024)
Ka Man Lo, Zeyu Huang, Zihan Qiu, Zili Wang, Jie Fu
A Closer Look into Mixture-of-Experts in Large Language Models. CoRR (2024)
Jun Zhan, Junqi Dai, Jiasheng Ye, Yunhua Zhou, Dong Zhang, Zhigeng Liu, Xin Zhang, Ruibin Yuan, Ge Zhang, Linyang Li, Hang Yan, Jie Fu, Tao Gui, Tianxiang Sun, Yu-Gang Jiang, Xipeng Qiu
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. ACL (1) (2024)
Chen Yang, Junzhuo Li, Xinyao Niu, Xinrun Du, Songyang Gao, Haoran Zhang, Zhaoliang Chen, Xingwei Qu, Ruibin Yuan, Yizhi Li, Jiaheng Liu, Stephen W. Huang, Shawn Yue, Wenhu Chen, Jie Fu, Ge Zhang
The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis. CoRR (2024)
Xiaowen Liu, Geying Yang, Lina Wang, Jie Fu, Qinghao Wang
A novel immune detector training method for network anomaly detection. Appl. Intell. 54 (2) (2024)
Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, Mi Zhang
Electrocardiogram Instruction Tuning for Report Generation. CoRR (2024)
Xinrun Du, Zhouliang Yu, Songyang Gao, Ding Pan, Yuyang Cheng, Ziyang Ma, Ruibin Yuan, Xingwei Qu, Jiaheng Liu, Tianyu Zheng, Xinchen Luo, Guorui Zhou, Binhang Yuan, Wenhu Chen, Jie Fu, Ge Zhang
Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model. CoRR (2024)
Shuai Zhao, Jinming Wen, Luu Anh Tuan, Junbo Zhao, Jie Fu
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models. CoRR (2023)
Haoxiang Ma, Shuo Han, Nandi Leslie, Charles A. Kamhoua, Jie Fu
Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs. CoRR (2023)
Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. NeurIPS (2023)
Zejun Li, Ye Wang, Mengfei Du, Qingwen Liu, Binhao Wu, Jiwen Zhang, Chengxing Zhou, Zhihao Fan, Jie Fu, Jingjing Chen, Xuanjing Huang, Zhongyu Wei
ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks. CoRR (2023)
Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability. CoRR (2023)
Abhishek Ninad Kulkarni, Jie Fu
Opportunistic Qualitative Planning in Stochastic Systems with Incomplete Preferences over Reachability Objectives. ACC (2023)
Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci
T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training. CoRR (2023)
Jikun Kang, Romain Laroche, Xindi Yuan, Adam Trischler, Xue Liu, Jie Fu
Think Before You Act: Decision Transformers with Internal Working Memory. CoRR (2023)
Jie Fu, Zhiyu Sun, Haitao Liu, Zhili Chen
Truncated Laplace and Gaussian mechanisms of RDP. CoRR (2023)
Haoxiang Ma, Chongyang Shi, Shuo Han, Michael R. Dorothy, Jie Fu
Covert Planning against Imperfect Observers. CoRR (2023)
Lening Li, Haoxiang Ma, Shuo Han, Jie Fu
Synthesis of Proactive Sensor Placement In Probabilistic Attack Graphs. ACC (2023)
Chongyang Shi, Abhishek Ninad Kulkarni, Hazhar Rahmani, Jie Fu
Synthesis of Opacity-Enforcing Winning Strategies Against Colluded Opponent. CDC (2023)
Chongyang Shi, Shuo Han, Jie Fu
Quantitative Planning with Action Deception in Concurrent Stochastic Games. CoRR (2023)
Jie Fu, Junyu Gao, Changsheng Xu
Semantic and Temporal Contextual Correlation Learning for Weakly-Supervised Temporal Action Localization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Lening Li, Hazhar Rahmani, Jie Fu
Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives. CoRR (2023)
Zekun Moore Wang, Zhongyuan Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhu Chen, Jie Fu, Junran Peng
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. CoRR (2023)
Hao Zhao, Jie Fu, Zhaofeng He
Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning. EMNLP (2023)
Huifa Li, Jie Fu, Zhili Chen, Xiaomin Yang, Haitao Liu, Xinpeng Ling
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering. CoRR (2023)
Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. CoRR (2023)
Chongyang Shi, Abhishek Ninad Kulkarni, Hazhar Rahmani, Jie Fu
Synthesis of Opacity-Enforcing Winning Strategies Against Colluded Opponent. CoRR (2023)
Haiteng Zhao, Shengchao Liu, Chang Ma, Hannan Xu, Jie Fu, Zhihong Deng, Lingpeng Kong, Qi Liu
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning. NeurIPS (2023)
Yonggang Jin, Chenxu Wang, Liuyu Xiang, Yaodong Yang, Jie Fu, Zhaofeng He
Deep Reinforcement Learning with Multitask Episodic Memory Based on Task-Conditioned Hypernetwork. CoRR (2023)

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Publication Activity (10 Years)

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Jie Fu