Fu, Jie

52 publications

TMLR 2025 A Survey of Recent Backdoor Attacks and Defenses in Large Language Models Shuai Zhao, Meihuizi Jia, Zhongliang Guo, Leilei Gan, Xiaoyu Xu, Xiaobao Wu, Jie Fu, Feng Yichao, Fengjun Pan, Anh Tuan Luu

TMLR 2025 Adaptive Incentive Design for Markov Decision Processes with Unknown Rewards Haoxiang Ma, Shuo Han, Ahmed Hemida, Charles A Kamhoua, Jie Fu

ICLRW 2025 CodeEditorBench: Evaluating Code Editing Capability of LLMs 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

TMLR 2025 Generating Symbolic World Models via Test-Time Scaling of Large Language Models Zhouliang Yu, Yuhuan Yuan, Tim Z. Xiao, Fuxiang Frank Xia, Jie Fu, Ge Zhang, Ge Lin, Weiyang Liu

ICLRW 2025 Generating Symbolic World Models via Test-Time Scaling of Large Language Models Zhouliang Yu, Yuhuan Yuan, Tim Z. Xiao, Fuxiang Frank Xia, Jie Fu, Ge Zhang, Ge Lin, Weiyang Liu

ICLRW 2025 Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation Tianyu Zheng, Shuyue Guo, Xingwei Qu, Jiawei Guo, Xeron Du, Chenghua Lin, Stephen Huang, Jie Fu, Ge Zhang

ICLR 2025 Layerwise Recurrent Router for Mixture-of-Experts Zihan Qiu, Zeyu Huang, Shuang Cheng, Yizhi Zhou, Zili Wang, Ivan Titov, Jie Fu

AAAI 2025 Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization Songtao Feng, Michael Dorothy, Jie Fu

ICLR 2025 MAP: Low-Compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio

ICLR 2025 MuPT: A Generative Symbolic Music Pretrained Transformer Xingwei Qu, Yuelin Bai, Yinghao Ma, Ziya Zhou, Ka Man Lo, Jiaheng Liu, Ruibin Yuan, Lejun Min, Xueling Liu, Tianyu Zhang, Xeron 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, Wenhao Huang, Jie Fu, Ge Zhang

ICML 2025 PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs Jianqing Zhang, Yang Liu, Jie Fu, Yang Hua, Tianyuan Zou, Jian Cao, Qiang Yang

JAIR 2025 Robust Reward Design for Markov Decision Processes Shuo Wu, Haoxiang Ma, Jie Fu, Shuo Han

AAAI 2025 Sequential Decision Making in Stochastic Games with Incomplete Preferences over Temporal Objectives Abhishek Ninad Kulkarni, Jie Fu, Ufuk Topcu

NeurIPS 2025 Thinker: Learning to Think Fast and Slow Stephen Chung, Wenyu Du, Jie Fu

ICLR 2025 VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio

IJCAI 2024 AutoAgents: A Framework for Automatic Agent Generation Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje Karlsson, Jie Fu, Yemin Shi

ICLR 2024 Can LLMs Express Their Uncertainty? an Empirical Evaluation of Confidence Elicitation in LLMs Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi

ICLR 2024 ChatEval: Towards Better LLM-Based Evaluators Through Multi-Agent Debate Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu

NeurIPS 2024 D-CPT Law: Domain-Specific Continual Pre-Training Scaling Law for Large Language Models Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, Zhiqi Bai, Jiakai Wang, Yuanxing Zhang, Xu Tan, Jie Fu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng

IJCAI 2024 Information-Theoretic Opacity-Enforcement in Markov Decision Processes Chongyang Shi, Yuheng Bu, Jie Fu

NeurIPSW 2024 MAP: Model Merging with Amortized Pareto Front Using Limited Computation Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio

ICLR 2024 MERT: Acoustic Music Understanding Model with Large-Scale Self-Supervised Training Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghao Xiao, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Zili Wang, Yike Guo, Jie Fu

ICLR 2024 Massive Editing for Large Language Models via Meta Learning Chenmien Tan, Ge Zhang, Jie Fu

AAAI 2024 Scalable Geometric Fracture Assembly via Co-Creation Space Among Assemblers Ruiyuan Zhang, Jiaxiang Liu, Zexi Li, Hao Dong, Jie Fu, Chao Wu

NeurIPS 2024 Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training Wenyu Du, Tongxu Luo, Zihan Qiu, Zeyu Huang, Yikang Shen, Reynold Cheng, Yike Guo, Jie Fu

ICML 2024 Think Before You Act: Decision Transformers with Working Memory Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xue Liu, Jie Fu

ECCV 2024 UniIR: Training and Benchmarking Universal Multimodal Information Retrievers Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen

NeurIPSW 2024 VCR: Visual Caption Restoration Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio

NeurIPS 2023 GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning Haiteng Zhao, Shengchao Liu, Ma Chang, Hannan Xu, Jie Fu, Zhihong Deng, Lingpeng Kong, Qi Liu

NeurIPS 2023 MARBLE: Music Audio Representation Benchmark for Universal Evaluation Ruibin Yuan, Yinghao Ma, Yizhi Li, Ge Zhang, Xingran Chen, Hanzhi Yin, Zhuo Le, Yiqi Liu, Jiawen Huang, Zeyue Tian, Binyue Deng, Ningzhi Wang, Chenghua Lin, Emmanouil Benetos, Anton Ragni, Norbert Gyenge, Roger Dannenberg, Wenhu Chen, Gus Xia, Wei Xue, Si Liu, Shi Wang, Ruibo Liu, Yike Guo, Jie Fu

LoG 2023 MUDiff: Unified Diffusion for Complete Molecule Generation Chenqing Hua, Sitao Luan, Minkai Xu, Zhitao Ying, Jie Fu, Stefano Ermon, Doina Precup

NeurIPS 2023 Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán-Casas, Rossella Arcucci

IJCAI 2023 Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives Lening Li, Hazhar Rahmani, Jie Fu

NeurIPSW 2023 Sample-Efficient Antibody Design Through Protein Language Model for Risk-Aware Batch Bayesian Optimization Yanzheng Wang, Boyue Wang, Tianyu Shi, Jie Fu, Yi Zhou, Zhizhuo Zhang

NeurIPS 2023 When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup

NeurIPS 2022 Bidirectional Learning for Offline Infinite-Width Model-Based Optimization Can Chen, Yingxueff Zhang, Jie Fu, Xue Liu, Mark Coates

ICML 2022 Biological Sequence Design with GFlowNets Moksh Jain, Emmanuel Bengio, Alex Hernandez-Garcia, Jarrid Rector-Brooks, Bonaventure F. P. Dossou, Chanakya Ajit Ekbote, Jie Fu, Tianyu Zhang, Michael Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio

TMLR 2022 Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Jie Fu, Yang Cao, Yu Kang, Haifeng Wang

CoRL 2022 Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang, Miao Liu, Abhinav Gupta, Christopher Pal, Xue Liu, Jie Fu

NeurIPSW 2022 Structural Causal Model for Molecular Dynamics Simulation Qi Liu, Yuanqi Du, Fan Feng, Qiwei Ye, Jie Fu

ICLR 2022 Unifying Likelihood-Free Inference with Black-Box Optimization and Beyond Dinghuai Zhang, Jie Fu, Yoshua Bengio, Aaron Courville

ICLR 2021 Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Hui, Jie Fu

ICLR 2021 CoCon: A Self-Supervised Approach for Controlled Text Generation Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu

ICCV 2021 FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters Yuwei Cheng, Jiannan Zhu, Mengxin Jiang, Jie Fu, Changsong Pang, Peidong Wang, Kris Sankaran, Olawale Onabola, Yimin Liu, Dianbo Liu, Yoshua Bengio

ICLR 2020 Jacobian Adversarially Regularized Networks for Robustness Alvin Chan, Yi Tay, Yew Soon Ong, Jie Fu

AAAI 2020 Revision in Continuous Space: Unsupervised Text Style Transfer Without Adversarial Learning Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv

ICLR 2020 Role-Wise Data Augmentation for Knowledge Distillation Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong

IJCAI 2020 Semi-Dynamic Hypergraph Neural Network for 3D Pose Estimation Shengyuan Liu, Pei Lv, Yuzhen Zhang, Jie Fu, Junjin Cheng, Wanqing Li, Bing Zhou, Mingliang Xu

IJCAI 2020 Synthesis of Deceptive Strategies in Reachability Games with Action Misperception Abhishek Ninad Kulkarni, Jie Fu

AAAI 2019 Learning Multi-Task Communication with Message Passing for Sequence Learning Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung

IJCAI 2016 DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks Jie Fu, Hongyin Luo, Jiashi Feng, Kian Hsiang Low, Tat-Seng Chua

AAAI 2015 AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis Erik Cambria, Jie Fu, Federica Bisio, Soujanya Poria