Jie Fu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
105
Venues
35
Active years
1990–2026
Best venue rank
A*
Where they publish
- A*ACL21 papers
- A*EMNLP13 papers
- A*ICLR13 papers
- A*ICRA7 papers
- A*AAAI6 papers
- ANAACL6 papers
- A*IJCAI6 papers
- A*ICML3 papers
- MulticonferenceICASSP2 papers
- A*ICCV2 papers
- AIROS2 papers
- BACNS1 paper
- ADSN1 paper
- CISCAS1 paper
- A*CCS1 paper
- A*ICDM1 paper
- CWoWMoM1 paper
- BCOLING1 paper
- A*ECCV1 paper
- A*ICDE1 paper
- CICANN1 paper
- UnrankedCoRL1 paper
- BIJCNLP1 paper
- BIJCNN1 paper
- BLREC1 paper
- BTrustCom1 paper
- ACoNEXT1 paper
- AMICCAI1 paper
- BDCC1 paper
- CIGARSS1 paper
- BICIP1 paper
- CHPCC1 paper
- CTAMC1 paper
- BSMC1 paper
- BICPR1 paper
Papers
105 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACNS | FedFDP: Fairness-Aware Federated Learning with Differential Privacy. | Xinpeng Ling, Jie Fu, Kuncan Wang, Huifa Li, Tong Cheng, Zhili Chen |
| 2026 | DSN | In-Depth Exploration of Differentially Private Quantization for Privacy-Preserving and Communication-Efficient Federated Learning. | Shan Huang, Zhijing Ye, Jiamin Wang, Zhaorui Zhang, Jie Fu, Wendy Hui Wang, Sheng Di, Xiaodong Yu |
| 2026 | ISCAS | Balancing Speed and Accuracy for Robust Analog-Mixed Signal Circuit Design using Closed-Loop Reinforcement Learning with Ensemble Neural Network Surrogates. | Zuwei Guo, Jie Fu, Sumukh Prashant Bhanushali, Zehua Zeng, Imon Banerjee, Arindam Sanyal |
| 2025 | AAAI | Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization. | Songtao Feng, Michael Dorothy, Jie Fu |
| 2025 | AAAI | Sequential Decision Making in Stochastic Games with Incomplete Preferences over Temporal Objectives. | Abhishek Ninad Kulkarni, Jie Fu, Ufuk Topcu |
| 2025 | ACL | Efficient Domain Continual pretraining by Mitigating the Stability Gap. | Yiduo Guo, Jie Fu, Huishuai Zhang, Dongyan Zhao |
| 2025 | ACL | OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models. | Siming Huang, Tianhao Cheng, Jason Klein Liu, Weidi Xu, Jiaran Hao, Liuyihan Song, Yang Xu, Jian Yang, Jiaheng Liu, Chenchen Zhang, Linzheng Chai, Ruifeng Yuan, Xianzhen Luo, Qiufeng Wang, YuanTao Fan, Qingfu Zhu, Zhaoxiang Zhang, Yang Gao, Jie Fu, Qian Liu, Houyi Li, Ge Zhang, Yuan Qi, Yinghui Xu, Wei Chu, Zili Wang |
| 2025 | ACL | PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment. | Zekun Moore Wang, Shenzhi Wang, King Zhu, Jiaheng Liu, Ke Xu, Jie Fu, Wangchunshu Zhou, Wenhao Huang |
| 2025 | ACL | Finite State Automata Inside Transformers with Chain-of-Thought: A Mechanistic Study on State Tracking. | Yifan Zhang, Wenyu Du, Dongming Jin, Jie Fu, Zhi Jin |
| 2025 | CCS | Safeguarding Graph Neural Networks against Topology Inference Attacks. | Jie Fu, Yuan Hong, Zhili Chen, Wendy Hui Wang |
| 2025 | EMNLP | MIO: A Foundation Model on Multimodal Tokens. | Zekun Moore Wang, King Zhu, Chunpu Xu, Wangchunshu Zhou, Jiaheng Liu, Yibo Zhang, Jessie Jiashuo Wang, Ning Shi, Siyu Li, Yizhi Li, Haoran Que, Zhaoxiang Zhang, Yuanxing Zhang, Ge Zhang, Ke Xu, Jie Fu, Wenhao Huang |
| 2025 | ICASSP | Graph Neural Networks Meet Probabilistic Graphical Models: A Survey. | Chenqing Hua, Sitao Luan, Qian Zhang, Jie Fu, Guy Wolf |
| 2025 | ICCV | T3D: Advancing 3D Medical Vision-Language Pre-Training by Learning Multi-View Visual Consistency. | Che Liu, Cheng Ouyang, Yinda Chen, Csar Quilodrn Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci |
| 2025 | ICDM | EC-LDA: Label Distribution Inference Attack Against Federated Graph Learning with Embedding Compression. | Tong Cheng, Jie Fu, Xinpeng Ling, Huifa Li, Zhili Chen, Haifeng Qian, Junqing Gong |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Layerwise Recurrent Router for Mixture-of-Experts. | Zihan Qiu, Zeyu Huang, Shuang Cheng, Yizhi Zhou, Zili Wang, Ivan Titov, Jie Fu |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | NAACL | COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning. | Yuelin Bai, Xeron Du, Yiming Liang, Leo Jin, Junting Zhou, Ziqiang Liu, Feiteng Fang, Mingshan Chang, Tianyu Zheng, Xincheng Zhang, Nuo Ma, Zekun Moore Wang, Ruibin Yuan, Haihong Wu, Hongquan Lin, Wenhao Huang, Jiajun Zhang, Chenghua Lin, Jie Fu, Min Yang, Shiwen Ni, Ge Zhang |
| 2025 | NAACL | A Closer Look into Mixture-of-Experts in Large Language Models. | Ka Man Lo, Zeyu Huang, Zihan Qiu, Zili Wang, Jie Fu |
| 2025 | NAACL | Huatuo-26M, a Large-scale Chinese Medical QA Dataset. | Xidong Wang, Jianquan Li, Shunian Chen, Yuxuan Zhu, Xiangbo Wu, Zhiyi Zhang, Xiaolong Xu, Junying Chen, Jie Fu, Xiang Wan, Anningzhe Gao, Benyou Wang |
| 2025 | NAACL | Enhancing Language Model Hypernetworks with Restart: A Study on Optimization. | Yihan Zhang, Jie Fu, Rongrong Ji, Jie Chen |
| 2025 | WoWMoM | ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations. | Xinpeng Ling, Jie Fu, Kuncan Wang, Haitao Liu, Zhili Chen |
| 2024 | AAAI | Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers. | Ruiyuan Zhang, Jiaxiang Liu, Zexi Li, Hao Dong, Jie Fu, Chao Wu |
| 2024 | ACL | E2-LLM: Efficient and Extreme Length Extension of Large Language Models. | 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 |
| 2024 | ACL | CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. | 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 |
| 2024 | ACL | RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. | Noah Wang, Zhongyuan 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 |
| 2024 | ACL | SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. | 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 |
| 2024 | ACL | ChatMusician: Understanding and Generating Music Intrinsically with LLM. | 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 |
| 2024 | ACL | AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. | 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 |
| 2024 | ACL | HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts. | Hao Zhao, Zihan Qiu, Huijia Wu, Zili Wang, Zhaofeng He, Jie Fu |
| 2024 | ACL | OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. | Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue |
| 2024 | COLING | CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation. | Yujie Shao, Xinrong Yao, Xingwei Qu, Chenghua Lin, Shi Wang, Wenhao Huang, Ge Zhang, Jie Fu |
| 2024 | ECCV | UniIR: Training and Benchmarking Universal Multimodal Information Retrievers. | Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen |
| 2024 | EMNLP | Unlocking Continual Learning Abilities in Language Models. | Wenyu Du, Shuang Cheng, Tongxu Luo, Zihan Qiu, Zeyu Huang, Ka Chun Cheung, Reynold Cheng, Jie Fu |
| 2024 | EMNLP | LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. | Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, 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 |
| 2024 | EMNLP | PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness. | Noah Wang, Feiyu Duan, Yibo Zhang, Wangchunshu Zhou, Ke Xu, Wenhao Huang, Jie Fu |
| 2024 | ICDE | Differentially Private Graph Neural Networks for Link Prediction. | Xun Ran, Qingqing Ye, Haibo Hu, Xin Huang, Jianliang Xu, Jie Fu |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 B. Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Zili Wang, Yike Guo, Jie Fu |
| 2024 | ICLR | Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers. | Zihan Qiu, Zeyu Huang, Youcheng Huang, Jie Fu |
| 2024 | ICLR | Massive Editing for Large Language Models via Meta Learning. | Chenmien Tan, Ge Zhang, Jie Fu |
| 2024 | ICLR | 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 |
| 2024 | ICML | Think Before You Act: Decision Transformers with Working Memory. | Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xue Liu, Jie Fu |
| 2024 | IJCAI | AutoAgents: A Framework for Automatic Agent Generation. | Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Brje Karlsson, Jie Fu, Yemin Shi |
| 2024 | IJCAI | Information-Theoretic Opacity-Enforcement in Markov Decision Processes. | Chongyang Shi, Yuheng Bu, Jie Fu |
| 2024 | NAACL | Unlocking Emergent Modularity in Large Language Models. | Zihan Qiu, Zeyu Huang, Jie Fu |
| 2024 | NAACL | Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning. | Shuai Zhao, Leilei Gan, Anh Tuan Luu, Jie Fu, Lingjuan Lyu, Meihuizi Jia, Jinming Wen |
| 2023 | EMNLP | Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation. | Mingfeng Xue, Dayiheng Liu, Wenqiang Lei, Jie Fu, Jian Lan, Mei Li, Baosong Yang, Jun Xie, Yidan Zhang, Dezhong Peng, Jiancheng Lv |
| 2023 | EMNLP | Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning. | Hao Zhao, Jie Fu, Zhaofeng He |
| 2023 | EMNLP | Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models. | Shuai Zhao, Jinming Wen, Anh Tuan Luu, Junbo Zhao, Jie Fu |
| 2023 | ICANN | SR-IDS: A Novel Network Intrusion Detection System Based on Self-taught Learning and Representation Learning. | Qinghao Wang, Geying Yang, Lina Wang, Jie Fu, Xiaowen Liu |
| 2023 | IJCAI | Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives. | Lening Li, Hazhar Rahmani, Jie Fu |
| 2023 | ICRA | Probabilistic Planning with Partially Ordered Preferences over Temporal Goals. | Hazhar Rahmani, Abhishek Ninad Kulkarni, Jie Fu |
| 2022 | CoRL | Learning Multi-Objective Curricula for Robotic Policy Learning. | Jikun Kang, Miao Liu, Abhinav Gupta, Christopher Pal, Xue (Steve) Liu, Jie Fu |
| 2022 | EMNLP | Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition. | Youcheng Huang, Wenqiang Lei, Jie Fu, Jiancheng Lv |
| 2022 | EMNLP | Text Editing as Imitation Game. | Ning Shi, Bin Tang, Bo Yuan, Longtao Huang, Yewen Pu, Jie Fu, Zhouhan Lin |
| 2022 | ICLR | Unifying Likelihood-free Inference with Black-box Optimization and Beyond. | Dinghuai Zhang, Jie Fu, Yoshua Bengio, Aaron C. Courville |
| 2022 | ICML | Biological Sequence Design with GFlowNets. | Moksh Jain, Emmanuel Bengio, Alex Hernndez-Garca, Jarrid Rector-Brooks, Bonaventure F. P. Dossou, Chanakya Ajit Ekbote, Jie Fu, Tianyu Zhang, Michael Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio |
| 2022 | IJCNLP | HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models. | Yizhi Li, Ge Zhang, Bohao Yang, Chenghua Lin, Anton Ragni, Shi Wang, Jie Fu |
| 2022 | IJCNN | Combating Multi-level Adversarial Text with Pruning based Adversarial Training. | Jianpeng Ke, Lina Wang, Aoshuang Ye, Jie Fu |
| 2022 | LREC | MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare. | Shaoxiong Ji, Tianlin Zhang, Luna Ansari, Jie Fu, Prayag Tiwari, Erik Cambria |
| 2022 | TrustCom | Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise. | Jie Fu, Zhili Chen, Xiao Han |
| 2021 | ACL | GLGE: A New General Language Generation Evaluation Benchmark. | Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan |
| 2021 | ACL | On Orthogonality Constraints for Transformers. | Aston Zhang, Alvin Chan, Yi Tay, Jie Fu, Shuohang Wang, Shuai Zhang, Huajie Shao, Shuochao Yao, Roy Ka-Wei Lee |
| 2021 | CoNEXT | Floodgate: taming incast in datacenter networks. | Kexin Liu, Chen Tian, Qingyue Wang, Hao Zheng, Peiwen Yu, Wenhao Sun, Yonghui Xu, Ke Meng, Lei Han, Jie Fu, Wanchun Dou, Guihai Chen |
| 2021 | ICCV | 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 |
| 2021 | ICLR | CoCon: A Self-Supervised Approach for Controlled Text Generation. | Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu |
| 2021 | ICLR | 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 Cheung Hui, Jie Fu |
| 2021 | ICRA | Attention-Based Probabilistic Planning with Active Perception. | Haoxiang Ma, Jie Fu |
| 2021 | ICRA | Semantic SLAM with Autonomous Object-Level Data Association. | Zhentian Qian, Kartik Patath, Jie Fu, Jing Xiao |
| 2021 | MICCAI | Few-Shot Domain Adaptation with Polymorphic Transformers. | Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh |
| 2020 | AAAI | Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning. | Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv |
| 2020 | ACL | RikiNet: Reading Wikipedia Pages for Natural Question Answering. | Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan |
| 2020 | ACL | Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences. | Yi Tay, Donovan Ong, Jie Fu, Alvin Chan, Nancy F. Chen, Anh Tuan Luu, Chris Pal |
| 2020 | ACL | Interactive Machine Comprehension with Information Seeking Agents. | Xingdi Yuan, Jie Fu, Marc-Alexandre Ct, Yi Tay, Chris Pal, Adam Trischler |
| 2020 | EMNLP | Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. | Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou |
| 2020 | EMNLP | Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. | Dayiheng Liu, Yeyun Gong, Yu Yan, Jie Fu, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan |
| 2020 | ICLR | Jacobian Adversarially Regularized Networks for Robustness. | Alvin Chan, Yi Tay, Yew-Soon Ong, Jie Fu |
| 2020 | IJCAI | Synthesis of Deceptive Strategies in Reachability Games with Action Misperception. | Abhishek Ninad Kulkarni, Jie Fu |
| 2020 | IJCAI | 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 |
| 2020 | IROS | Learning to Locomote with Artificial Neural-Network and CPG-based Control in a Soft Snake Robot. | Xuan Liu, Renato Gasoto, Ziyi Jiang, Cagdas D. Onal, Jie Fu |
| 2019 | AAAI | Learning Multi-Task Communication with Message Passing for Sequence Learning. | Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung |
| 2019 | ACL | TIGS: An Inference Algorithm for Text Infilling with Gradient Search. | Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv |
| 2019 | ACL | Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. | Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang |
| 2019 | ACL | Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. | Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui |
| 2019 | ACL | Graph Neural Networks with Generated Parameters for Relation Extraction. | Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun |
| 2019 | DCC | Dataflow-Based Joint Quantization for Deep Neural Networks. | Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar |
| 2019 | EMNLP | Structure Learning for Neural Module Networks. | Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher Joseph Pal |
| 2019 | EMNLP | Interactive Language Learning by Question Answering. | Xingdi Yuan, Marc-Alexandre Ct, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio, Adam Trischler |
| 2019 | ICRA | A Validated Physical Model For Real-Time Simulation of Soft Robotic Snakes. | Renato Gasoto, Miles Macklin, Xuan Liu, Yinan Sun, Kenny Erleben, Cagdas D. Onal, Jie Fu |
| 2018 | IGARSS | Single Frame Super Resolution with Convolutional Neural Network for Remote Sensing Imagery. | Jie Fu, Yuhong Liu, Feng Li |
| 2017 | ICRA | Sampling-based approximate optimal temporal logic planning. | Lening Li, Jie Fu |
| 2016 | ICASSP | Blind image quality assessment for multiply distorted images via convolutional neural networks. | Jie Fu, Hanli Wang, Lingxuan Zuo |
| 2016 | ICIP | Screen content image quality assessment via convolutional neural network. | Lingxuan Zuo, Hanli Wang, Jie Fu |
| 2016 | IJCAI | 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 |
| 2016 | ICRA | Optimal temporal logic planning in probabilistic semantic maps. | Jie Fu, Nikolay Atanasov, Ufuk Topcu, George J. Pappas |
| 2015 | AAAI | AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis. | Erik Cambria, Jie Fu, Federica Bisio, Soujanya Poria |
| 2015 | HPCC | A Fault-Tolerant Java Virtual Machine Using Fast Rejuvenation for Soft-Error-Prone Systems. | Qi Ao, Longbing Zhang, Shuai Chen, Jie Fu, Bin Liao |
| 2015 | ICRA | Pareto efficiency in synthesizing shared autonomy policies with temporal logic constraints. | Jie Fu, Ufuk Topcu |
| 2013 | IROS | Recognizing context-aware activities of daily living using RGBD sensor. | Jie Fu, Chengyin Liu, Yen-Pin Hsu, Li-Chen Fu |
| 2011 | TAMC | An Algebraic Characterization of Strictly Piecewise Languages. | Jie Fu, Jeffrey Heinz, Herbert G. Tanner |
| 2008 | SMC | Robust stability of Markovian jumping stochastic neural networks with interval time-varying delay. | Jie Fu, Jian Feng, Huaguang Zhang |
| 1990 | ICPR | A matching algorithm based on hierarchical primitive structure. | Xiao-Jun Wang, Jie Fu, Li-De Wu |