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ORCIDYao Fu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j50]Jiang Liu, Huasheng Wang
, Katarzyna Stawarz, Shiyin Li, Yao Fu, Hantao Liu:
Vision-based human action quality assessment: A systematic review. Expert Syst. Appl. 263: 125642 (2025)- 2024
- [j49]Runtao Yang, Yao Fu, Qian Zhang, Lina Zhang:
GCNGAT: Drug-disease association prediction based on graph convolution neural network and graph attention network. Artif. Intell. Medicine 150: 102805 (2024) - [j48]Zhan Si, Deguang Liu, Wan Nie, Jingjing Hu, Chen Wang, Tingting Jiang, Haizhu Yu, Yao Fu:
Data-Based Prediction of Redox Potentials via Introducing Chemical Features into the Transformer Architecture. J. Chem. Inf. Model. 64(22): 8453-8463 (2024) - [j47]Yao Fu, Biao Huang, Yujun Wen, Pengzhou Zhang:
FDR-MSA: Enhancing multimodal sentiment analysis through feature disentanglement and reconstruction. Knowl. Based Syst. 297: 111965 (2024) - [j46]Alejandro Rico, Satyaprakash Pareek, Javier Cabezas, David Clarke, Baris Özgül, Francisco Barat, Yao Fu, Stephan Münz, Dylan Stuart, Patrick Schlangen, Pedro Duarte, Sneha Date, Indrani Paul, Jian Weng, Sonal Santan, Vinod Kathail, Ashish Sirasao, Juanjo Noguera:
AMD XDNA NPU in Ryzen AI Processors. IEEE Micro 44(6): 73-82 (2024) - [j45]Chengrui Yu, Xiaonan Jiang, Fanlu Wu, Yao Fu, Junyan Pei, Yu Zhang, Xiangzhi Li, Tianjiao Fu:
A Multi-Scale Feature Fusion Based Lightweight Vehicle Target Detection Network on Aerial Optical Images. Remote. Sens. 16(19): 3637 (2024) - [j44]Yao Fu, Kai Zhou, Guangya Zhu, Zerui Li, Yuan Li, Pengfei Meng, Yefei Xu, Lu Lu:
A Partial Discharge Signal Separation Method Applicable for Various Sensors Based on Time-Frequency Feature Extraction of t-SNE. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [j43]Pengfei Meng, Tengfei Li, Kai Zhou, Guangya Zhu, Zhirong Tang, Yao Fu:
Online Monitoring of the Cable Insulation State Based on the Impulse Impedance Spectrum. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j42]Yunxiao Shan, Yao Fu, Xiangchun Chen, Hongquan Lin, Ziquan Zhang, Jun Lin, Kai Huang:
LiDAR Based Traversable Regions Identification Method for Off-Road UGV Driving. IEEE Trans. Intell. Veh. 9(2): 3544-3557 (2024) - [c55]Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen:
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning. ICLR 2024 - [c54]Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng:
Data Engineering for Scaling Language Models to 128K Context. ICML 2024 - [c53]Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, Yang You:
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models. ICML 2024 - [c52]Yuan Li, Jianbin Zhu, Yao Fu, Yu Lei, Toshio Nagata, Ryan Braidwood, Haohuan Fu, Juepeng Zheng, Wayne Luk, Hongxiang Fan:
Circular Reconfigurable Parallel Processor for Edge Computing : Industrial Product ✶. ISCA 2024: 863-875 - [c51]Yuye Feng, Wei Zhang, Yao Fu, Weihao Jiang, Jiang Zhu, Wenqi Ren:
SensitiveHUE: Multivariate Time Series Anomaly Detection by Enhancing the Sensitivity to Normal Patterns. KDD 2024: 782-793 - [c50]Yao Fu, Leyang Xue, Yeqi Huang, Andrei-Octavian Brabete, Dmitrii Ustiugov, Yuvraj Patel, Luo Mai:
ServerlessLLM: Low-Latency Serverless Inference for Large Language Models. OSDI 2024: 135-153 - [i53]Xuekai Zhu, Yao Fu, Bowen Zhou, Zhouhan Lin:
Critical Data Size of Language Models from a Grokking Perspective. CoRR abs/2401.10463 (2024) - [i52]Yao Fu, Leyang Xue, Yeqi Huang, Andrei-Octavian Brabete, Dmitrii Ustiugov, Yuvraj Patel, Luo Mai:
ServerlessLLM: Locality-Enhanced Serverless Inference for Large Language Models. CoRR abs/2401.14351 (2024) - [i51]Leyang Xue, Yao Fu, Zhan Lu, Luo Mai, Mahesh K. Marina:
MoE-Infinity: Activation-Aware Expert Offloading for Efficient MoE Serving. CoRR abs/2401.14361 (2024) - [i50]Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, Yang You:
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models. CoRR abs/2402.01739 (2024) - [i49]Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng:
Data Engineering for Scaling Language Models to 128K Context. CoRR abs/2402.10171 (2024) - [i48]Yao Fu, Dong-Ki Kim, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, Honglak Lee:
AutoGuide: Automated Generation and Selection of State-Aware Guidelines for Large Language Model Agents. CoRR abs/2403.08978 (2024) - [i47]Longfei Yun, Yonghao Zhuang, Yao Fu, Eric P. Xing, Hao Zhang:
Toward Inference-optimal Mixture-of-Expert Large Language Models. CoRR abs/2404.02852 (2024) - [i46]Wenhao Wu, Yizhong Wang, Guangxuan Xiao, Hao Peng, Yao Fu:
Retrieval Head Mechanistically Explains Long-Context Factuality. CoRR abs/2404.15574 (2024) - [i45]Wenhao Wu, Yizhong Wang, Yao Fu, Xiang Yue, Dawei Zhu, Sujian Li:
Long Context Alignment with Short Instructions and Synthesized Positions. CoRR abs/2405.03939 (2024) - [i44]Yao Fu:
Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis. CoRR abs/2405.08944 (2024) - [i43]Hanmei Yang, Jin Zhou, Yao Fu, Xiaoqun Wang, Ramine Roane, Hui Guan, Tongping Liu:
ProTrain: Efficient LLM Training via Memory-Aware Techniques. CoRR abs/2406.08334 (2024) - [i42]Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, Junxian Guo, Shang Yang, Haotian Tang, Yao Fu, Song Han:
DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads. CoRR abs/2410.10819 (2024) - [i41]Anthony Z. Liu, Xinhe Wang, Jacob Sansom, Yao Fu, Jongwook Choi, Sungryull Sohn, Jaekyeom Kim, Honglak Lee:
Interactive and Expressive Code-Augmented Planning with Large Language Models. CoRR abs/2411.13826 (2024) - [i40]Yao Fu, Yin Yu, Xiaotian Han, Runchao Li, Xianxuan Long, Haotian Yu, Pan Li:
Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models. CoRR abs/2411.16991 (2024) - [i39]Yao Fu, Yinsicheng Jiang, Yeqi Huang, Ping Nie, Zhan Lu, Leyang Xue, Congjie He, Man-Kit Sit, Jilong Xue, Li Dong, Ziming Miao, Kai Zou, Edoardo M. Ponti, Luo Mai:
MoE-CAP: Cost-Accuracy-Performance Benchmarking for Mixture-of-Experts Systems. CoRR abs/2412.07067 (2024) - [i38]Alexander D. Zemskov, Yao Fu, Runchao Li, Xufei Wang, Vispi Karkaria, Ying-Kuan Tsai, Wei Chen, Jianjing Zhang, Robert Gao, Jian Cao, Kenneth A. Loparo, Pan Li:
Security and Privacy of Digital Twins for Advanced Manufacturing: A Survey. CoRR abs/2412.13939 (2024) - 2023
- [j41]Yuanzhong Xu, Tao Ke, Wenjun Cao, Yao Fu, Zhangqing He:
Reliable and Efficient Chip-PCB Hybrid PUF and Lightweight Key Generator. IEICE Trans. Electron. 106(8): 432-441 (2023) - [j40]Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang:
TorchOpt: An Efficient Library for Differentiable Optimization. J. Mach. Learn. Res. 24: 367:1-367:14 (2023) - [j39]Ke Liu, Honglin Wang, Yao Fu, Guanzheng Wen, Binyu Wang:
A Dynamic Path-Planning Method for Obstacle Avoidance Based on the Driving Safety Field. Sensors 23(22): 9180 (2023) - [j38]Yipeng Zhou, Xuezheng Liu, Yao Fu, Di Wu, Jessie Hui Wang, Shui Yu:
Optimizing the Numbers of Queries and Replies in Convex Federated Learning With Differential Privacy. IEEE Trans. Dependable Secur. Comput. 20(6): 4823-4837 (2023) - [j37]Guangya Zhu, Kai Zhou, Lu Lu, Yao Fu, Zhaogui Liu, Xiaomin Yang:
Partial Discharge Data Augmentation Based on Improved Wasserstein Generative Adversarial Network With Gradient Penalty. IEEE Trans. Ind. Informatics 19(5): 6565-6575 (2023) - [j36]Yao Fu, Runtao Yang, Lina Zhang, Xu Fu:
HGECDA: A Heterogeneous Graph Embedding Model for CircRNA-Disease Association Prediction. IEEE J. Biomed. Health Informatics 27(10): 5177-5186 (2023) - [j35]Jiarong Xu, Yang Yang, Shiliang Pu, Yao Fu, Jun Feng, Weihao Jiang, Jiangang Lu, Chunping Wang:
NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(1): 810-823 (2023) - [c49]Yao Fu, Junhong Wan, Junlan Yu, Weihao Jiang, Shiliang Pu:
Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion. CIKM 2023: 524-534 - [c48]Zhihui Hu, Yao Fu, Hong Zhao, Xiaoyu Cai, Weihao Jiang, Shiliang Pu:
Liberate Pseudo Labels from Over-Dependence: Label Information Migration on Sparsely Labeled Graphs. CIKM 2023: 833-842 - [c47]Junhong Wan, Yao Fu, Junlan Yu, Weihao Jiang, Shiliang Pu, Ruiheng Yang:
GraphFADE: Field-aware Decorrelation Neural Network for Graphs with Tabular Features. CIKM 2023: 2502-2511 - [c46]Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot:
Complexity-Based Prompting for Multi-step Reasoning. ICLR 2023 - [c45]Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal:
Decomposed Prompting: A Modular Approach for Solving Complex Tasks. ICLR 2023 - [c44]Yao Fu, Run Peng, Honglak Lee:
Go Beyond Imagination: Maximizing Episodic Reachability with World Models. ICML 2023: 10405-10420 - [c43]Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot:
Specializing Smaller Language Models towards Multi-Step Reasoning. ICML 2023: 10421-10430 - [c42]Huizhao Wang, Yao Fu, Tao Yu, Linghui Hu, Weihao Jiang, Shiliang Pu:
PROSE: Graph Structure Learning via Progressive Strategy. KDD 2023: 2337-2348 - [c41]Jing Wan, Minghui Yuan, Danya Wang, Yao Fu:
Citation Recommendation Based on Knowledge Graph and Multi-task Learning. KSEM (3) 2023: 383-398 - [c40]Yuan Li, Xinyu Nie, Yao Fu, Yonggang Shi:
FASSt: Filtering via Symmetric Autoencoder for Spherical Superficial White Matter Tractography. CDMRI@MICCAI 2023: 129-139 - [c39]Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Yao Fu, Maosong Sun, Junxian He:
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models. NeurIPS 2023 - [c38]Fuzhao Xue, Yao Fu, Wangchunshu Zhou, Zangwei Zheng, Yang You:
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis. NeurIPS 2023 - [e1]Vishakh Padmakumar, Gisela Vallejo, Yao Fu:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, ACL 2023, Toronto, Canada, July 9-14, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-69-2 [contents] - [i37]Bing-Hong Li, Yuan-Mei Xie, Xiao-Yu Cao, Chen-Long Li, Yao Fu, Hua-Lei Yin, Zeng-Bing Chen:
One-Time Universal Hashing Quantum Digital Signatures without Perfect Keys. CoRR abs/2301.01132 (2023) - [i36]Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot:
Specializing Smaller Language Models towards Multi-Step Reasoning. CoRR abs/2301.12726 (2023) - [i35]Shan-Feng Shao, Xiao-Yu Cao, Yuan-Mei Xie, Jie Gu, Wen-Bo Liu, Yao Fu, Hua-Lei Yin, Zeng-Bing Chen:
Experimental Phase-Matching Quantum Key Distribution without Intensity Modulation. CoRR abs/2303.11585 (2023) - [i34]Ao Shen, Xiao-Yu Cao, Yang Wang, Yao Fu, Jie Gu, Wen-Bo Liu, Chen-Xun Weng, Hua-Lei Yin, Zeng-Bing Chen:
Experimental quantum secret sharing based on phase encoding of coherent states. CoRR abs/2303.14622 (2023) - [i33]Jun-Lin Bai, Yuan-Mei Xie, Yao Fu, Hua-Lei Yin, Zeng-Bing Chen:
Asynchronous measurement-device-independent quantum key distribution with hybrid source. CoRR abs/2304.04569 (2023) - [i32]Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Yao Fu, Maosong Sun, Junxian He:
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models. CoRR abs/2305.08322 (2023) - [i31]Yao Fu, Hao Peng, Tushar Khot, Mirella Lapata:
Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback. CoRR abs/2305.10142 (2023) - [i30]Fuzhao Xue, Yao Fu, Wangchunshu Zhou, Zangwei Zheng, Yang You:
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis. CoRR abs/2305.13230 (2023) - [i29]Yao Fu, Litu Ou, Mingyu Chen, Yuhao Wan, Hao Peng, Tushar Khot:
Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance. CoRR abs/2305.17306 (2023) - [i28]Xiao-Yu Cao, Bing-Hong Li, Yang Wang, Yao Fu, Hua-Lei Yin, Zeng-Bing Chen:
Experimental quantum e-commerce. CoRR abs/2308.08821 (2023) - [i27]Yao Fu, Run Peng, Honglak Lee:
Go Beyond Imagination: Maximizing Episodic Reachability with World Models. CoRR abs/2308.13661 (2023) - [i26]Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen:
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning. CoRR abs/2309.05653 (2023) - [i25]Tianxiao Shen, Hao Peng, Ruoqi Shen, Yao Fu, Zaïd Harchaoui, Yejin Choi:
FiLM: Fill-in Language Models for Any-Order Generation. CoRR abs/2310.09930 (2023) - 2022
- [j34]Qing Liu, Jiayi Yang, Yao Fu, Yuhe Huang:
Transmission Line Fault Location Based on Improved Algorithm of Electromagnetic Time Reversal. IEEE Access 10: 37839-37847 (2022) - [j33]Xin Han, Fengna Cheng, Shan Tang, Yuyan Zhang, Yao Fu, Weiguo Cheng, Liang Xu:
Synchronization Analysis of Fractional-Order Neural Networks With Adaptive Intermittent-Active Control. IEEE Access 10: 75097-75104 (2022) - [j32]Yao Fu, Runtao Yang, Lina Zhang:
Association prediction of CircRNAs and diseases using multi-homogeneous graphs and variational graph auto-encoder. Comput. Biol. Medicine 151(Part): 106289 (2022) - [j31]Tian Wang, Shiye Lei, Youyou Jiang, Chang Choi, Hichem Snoussi, Guangcun Shan, Yao Fu:
Accelerating temporal action proposal generation via high performance computing. Frontiers Comput. Sci. 16(4): 164317 (2022) - [j30]Danyu Bai, Ali Diabat, Xinyue Wang, Dandan Yang, Yao Fu, Zhi-Hai Zhang, Chin-Chia Wu:
Competitive bi-agent flowshop scheduling to minimise the weighted combination of makespans. Int. J. Prod. Res. 60(22): 6750-6771 (2022) - [j29]Wan Nie, Deguang Liu, Shuaicheng Li, Haizhu Yu, Yao Fu:
Nucleophilicity Prediction Using Graph Neural Networks. J. Chem. Inf. Model. 62(18): 4319-4328 (2022) - [j28]Qingdan Li, Yao Fu, Zehui Zhang, Abdul Joseph Fofanah, Tiegang Gao:
Medical images lossless recovery based on POB number system and image compression. Multim. Tools Appl. 81(8): 11415-11440 (2022) - [j27]Ratish Puduppully, Yao Fu, Mirella Lapata:
Data-to-text Generation with Variational Sequential Planning. Trans. Assoc. Comput. Linguistics 10: 697-715 (2022) - [j26]Souvik Kundu, Yao Fu, Bill Ye, Peter A. Beerel, Massoud Pedram:
Toward Adversary-aware Non-iterative Model Pruning through Dynamic Network Rewiring of DNNs. ACM Trans. Embed. Comput. Syst. 21(5): 52:1-52:24 (2022) - [j25]Zerui Li, Kai Zhou, Yuan Li, Pengfei Meng, Yao Fu, Guangya Zhu, Shakeel Akram:
A Pulse Interference Suppression Method Based on Double-Sensor Detection for PD Measurement in Frequency-Tuned Resonant Tests. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - [j24]Kai Zhou, Yao Fu, Guangya Zhu, Shilin Zhao, Lu Lu, Xianjin Wang, Yuan Li, Pengfei Meng, Shiyu Ma:
Partial Discharge Localization on Power Cables Based on a Novel Signal Relay System. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [j23]Yipeng Zhou, Yao Fu, Zhenxiao Luo, Miao Hu, Di Wu, Quan Z. Sheng, Shui Yu:
The Role of Communication Time in the Convergence of Federated Edge Learning. IEEE Trans. Veh. Technol. 71(3): 3241-3254 (2022) - [c37]Xiaoyu Cai, Yao Fu, Hong Zhao, Weihao Jiang, Shiliang Pu:
Memory Graph with Message Rehearsal for Multi-Turn Dialogue Generation. CIKM 2022: 108-117 - [c36]Tao Yu, Yao Fu, Linghui Hu, Huizhao Wang, Weihao Jiang, Shiliang Pu:
Cognize Yourself: Graph Pre-Training via Core Graph Cognizing and Differentiating. CIKM 2022: 2413-2422 - [c35]Yao Fu, Ranran Li, Jingyu Zhang, Zizheng Guo, Guo Feng:
Social Exposure and Burnout During the Pandemic: An Investigation on Three Different Positions of Frontline Metro Staffs. HCI (6) 2022: 179-188 - [c34]Yao Fu, John P. Cunningham, Mirella Lapata:
Scaling Structured Inference with Randomization. ICML 2022: 6811-6828 - [c33]Weihao Jiang, Yao Fu, Hong Zhao, Junhong Wan, Shiliang Pu:
Graph Intention Neural Network for Knowledge Graph Reasoning. IJCNN 2022: 1-8 - [c32]Junhong Wan, Yao Fu, Weihao Jiang, Shiliang Pu, Junlan Yu:
Tackling Over-Smoothing: Graph Hollow Convolution Network with Topological Layer Fusion. IJCNN 2022: 1-9 - [c31]Lajanugen Logeswaran, Yao Fu, Moontae Lee, Honglak Lee:
Few-shot Subgoal Planning with Language Models. NAACL-HLT 2022: 5493-5506 - [c30]Chijun Sima, Yao Fu, Man-Kit Sit, Liyi Guo, Xuri Gong, Feng Lin, Junyu Wu, Yongsheng Li, Haidong Rong, Pierre-Louis Aublin, Luo Mai:
Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update. OSDI 2022: 821-839 - [c29]Hong Zhao, Yao Fu, Weihao Jiang, Shiliang Pu, Xiaoyu Cai:
Simulate Human Thinking: Cognitive Knowledge Graph Reasoning for Complex Question Answering. PAKDD (1) 2022: 522-534 - [c28]Huizhao Wang, Yao Fu, Linghui Hu, Weihao Jiang, Shiliang Pu:
Separate then Constrain: A Hierarchical Network for End-to-End Triples Extraction. PAKDD (1) 2022: 535-547 - [i24]Ratish Puduppully, Yao Fu, Mirella Lapata:
Data-to-text Generation with Variational Sequential Planning. CoRR abs/2202.13756 (2022) - [i23]Jie Gu, Xiao-Yu Cao, Yao Fu, Zong-Wu He, Ze-Jie Yin, Hua-Lei Yin, Zeng-Bing Chen:
Experimental twin-field quantum key distribution with flawed and correlated sources. CoRR abs/2204.08323 (2022) - [i22]Wen-Bo Liu, Yu-Shuo Lu, Yao Fu, Si-Cheng Huang, Ze-Jie Yin, Kun Jiang, Hua-Lei Yin, Zeng-Bing Chen:
Source-independent quantum random number generator against detector blinding attacks. CoRR abs/2204.12156 (2022) - [i21]Lajanugen Logeswaran, Yao Fu, Moontae Lee, Honglak Lee:
Few-shot Subgoal Planning with Language Models. CoRR abs/2205.14288 (2022) - [i20]Yao Fu, Mirella Lapata:
Latent Topology Induction for Understanding Contextualized Representations. CoRR abs/2206.01512 (2022) - [i19]Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot:
Complexity-Based Prompting for Multi-Step Reasoning. CoRR abs/2210.00720 (2022) - [i18]Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal:
Decomposed Prompting: A Modular Approach for Solving Complex Tasks. CoRR abs/2210.02406 (2022) - [i17]Yuling Gu, Yao Fu, Valentina Pyatkin, Ian Magnusson, Bhavana Dalvi Mishra, Peter Clark:
Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE. CoRR abs/2210.16407 (2022) - [i16]Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang:
TorchOpt: An Efficient Library for Differentiable Optimization. CoRR abs/2211.06934 (2022) - [i15]Chen-Long Li, Yao Fu, Wen-Bo Liu, Yuan-Mei Xie, Bing-Hong Li, Min-Gang Zhou, Hua-Lei Yin, Zeng-Bing Chen:
Breaking universal limitations on quantum conference key agreement without quantum memory. CoRR abs/2212.05226 (2022) - [i14]Chen-Long Li, Yao Fu, Wen-Bo Liu, Yuan-Mei Xie, Bing-Hong Li, Min-Gang Zhou, Hua-Lei Yin, Zeng-Bing Chen:
Breaking Rate-Distance Limitation of Measurement-Device-Independent Quantum Secret Sharing. CoRR abs/2212.06148 (2022) - 2021
- [j22]Yao Fu, Tingting Guo, Xingfang Zhao:
Intelligent Splicing Method of Virtual Reality Lingnan Cultural Heritage Panorama Based on Automatic Machine Learning. Mob. Inf. Syst. 2021: 8693436:1-8693436:10 (2021) - [j21]Haifang Wang, Zhiying Tu, Yao Fu, Zhongjie Wang, Xiaofei Xu:
Time-aware user profiling from personal service ecosystem. Neural Comput. Appl. 33(8): 3597-3619 (2021) - [c27]Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang:
Nested Named Entity Recognition with Partially-Observed TreeCRFs. AAAI 2021: 12839-12847 - [c26]Sanmukh R. Kuppannagari, Yao Fu, Chung Ming Cheung, Viktor K. Prasanna:
Spatio-Temporal Missing Data Imputation for Smart Power Grids. e-Energy 2021: 458-465 - [c25]Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing:
Probing BERT in Hyperbolic Spaces. ICLR 2021 - [c24]Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Haitao Zheng, Rui Zhang:
Prototypical Representation Learning for Relation Extraction. ICLR 2021 - [c23]Tianming Shao, Mingcang Zhu, Yong He, Boya Yang, Zhanyong He, Fangrong Zhou, Juan Ren, Hongqiong Tang, Yao Fu, Zezhong Zheng, Zhongnian Li, Guoqing Zhou, Zhiyong Wang, Mingqi Li, Ling Jiang:
Deformation of Chengdu Downtown with Sentinel-1A. IGARSS 2021: 5346-5349 - [c22]Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao:
Noisy-Labeled NER with Confidence Estimation. NAACL-HLT 2021: 3437-3445 - [c21]Souvik Kundu, Qirui Sun, Yao Fu, Massoud Pedram, Peter A. Beerel:
Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation. NeurIPS 2021: 9181-9192 - [i13]Yao Fu, Yipeng Zhou, Di Wu, Shui Yu, Yonggang Wen, Chao Li:
On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times. CoRR abs/2101.04163 (2021) - [i12]Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, Rui Zhang:
Prototypical Representation Learning for Relation Extraction. CoRR abs/2103.11647 (2021) - [i11]Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing:
Probing BERT in Hyperbolic Spaces. CoRR abs/2104.03869 (2021) - [i10]Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao:
Noisy-Labeled NER with Confidence Estimation. CoRR abs/2104.04318 (2021) - [i9]Yipeng Zhou, Xuezheng Liu, Yao Fu, Di Wu, Chao Li, Shui Yu:
Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy. CoRR abs/2107.01895 (2021) - [i8]Yao Fu, Mirella Lapata:
Scaling Structured Inference with Randomization. CoRR abs/2112.03638 (2021) - [i7]Min-Gang Zhou, Xiao-Yu Cao, Yu-Shuo Lu, Yang Wang, Yu Bao, Zhao-Ying Jia, Yao Fu, Hua-Lei Yin, Zeng-Bing Chen:
Experimental quantum advantage with quantum coupon collector. CoRR abs/2112.07884 (2021) - [i6]