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2020 – today
- 2024
[j36]Yeqiang Luo, Jing Liang, Shanghui Lin, Tianmo Bai, Lingchuang Kong, Yan Jin, Xin Zhang, Baofeng Li
, Bei Chen:
The application of deep learning methods in knee joint sports injury diseases. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(7): 2689-2696 (2024)- [j35]Xiaoyu Yi, Gaolei Li, Bei Chen, Xi Lin, Zhiyuan Peng, Yuchen Liu, Jianhua Li:
HSESR: Hierarchical Software Execution State Representation for Ultralow-Latency Threat Alerting Over Internet of Things. IEEE Internet Things J. 11(21): 34283-34295 (2024) - [j34]Ying Zhang, Bei Chen:
Hybrid-scheduling-based sliding mode control for Markovian jump systems under transmission constraints. J. Frankl. Inst. 361(5): 106681 (2024) - [j33]Daoguang Zan, Ailun Yu, Bo Shen, Bei Chen, Wei Li, Yongshun Gong, Xiaolin Chen, Yafen Yao, Weihua Luo, Bei Guan, Yan Liu, Yongji Wang, Qianxiang Wang, Lizhen Cui:
DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises. Proc. ACM Softw. Eng. 1(FSE): 406-426 (2024) - [j32]Quan Xu, Xincheng Ding, Bei Chen, Fatemeh Parastesh, Herbert Ho-Ching Iu, Ning Wang:
A Universal Configuration Framework for Mem-Element-Emulator-Based Bionic Firing Circuits. IEEE Trans. Circuits Syst. I Regul. Pap. 71(9): 4120-4130 (2024) - [j31]Bei Chen, Fazhan Liu, Herbert Ho-Ching Iu, Han Bao, Quan Xu:
Memristive Neural Network Circuit of Operant Conditioning With Reward Delay and Variable Punishment Intensity. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1002-1006 (2024) - [j30]Zhixu Hu, Bei Chen:
Sliding Mode Control for Multi-Agent Systems Under Event-Triggering Hybrid Scheduling Strategy. IEEE Trans. Circuits Syst. II Express Briefs 71(4): 2184-2188 (2024) - [j29]Mo Chen, Ankai Wang, Huagan Wu, Bei Chen, Quan Xu:
DC-Offset Strategy for Controlling Hidden and Multistable Behaviors in Physical Circuits. IEEE Trans. Ind. Electron. 71(8): 9417-9425 (2024) - [c74]Bei Chen, Gaolei Li, Xi Lin, Zheng Wang, Jianhua Li:
BlockAgents: Towards Byzantine-Robust LLM-Based Multi-Agent Coordination via Blockchain. ACM TUR-C 2024 - [c73]Furkan Sahinuç, Thy Thy Tran, Yulia Grishina, Yufang Hou, Bei Chen, Iryna Gurevych:
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards. EMNLP 2024: 7963-7977 - [c72]Bei Chen, Jian Wang, Zichao Zhao, Xiaowen Xiong, Jianyi Yang, Ming Li, Ninghua Zhu:
Reconfigurable All-Optical Integrated Nonlinear Activator with Switchable Response Functions for Photonic Neural Networks. OFC 2024: 1-3 - [i48]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 abs/2401.11944 (2024) - [i47]Alex Young, Bei Chen, Chao Li, Chengen Huang, Ge Zhang, Guanwei Zhang, Heng Li, Jiangcheng Zhu, Jianqun Chen, Jing Chang, Kaidong Yu, Peng Liu, Qiang Liu, Shawn Yue, Senbin Yang, Shiming Yang, Tao Yu, Wen Xie, Wenhao Huang, Xiaohui Hu, Xiaoyi Ren, Xinyao Niu, Pengcheng Nie, Yuchi Xu, Yudong Liu, Yue Wang, Yuxuan Cai, Zhenyu Gu, Zhiyuan Liu, Zonghong Dai:
Yi: Open Foundation Models by 01.AI. CoRR abs/2403.04652 (2024) - [i46]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 abs/2406.13923 (2024) - [i45]Haoning Wu, Dongxu Li, Bei Chen, Junnan Li:
LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding. CoRR abs/2407.15754 (2024) - [i44]Furkan Sahinuç, Thy Thy Tran, Yulia Grishina, Yufang Hou, Bei Chen, Iryna Gurevych:
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards. CoRR abs/2409.12656 (2024) - [i43]Dongxu Li, Yudong Liu, Haoning Wu, Yue Wang, Zhiqi Shen, Bowen Qu, Xinyao Niu, Guoyin Wang, Bei Chen, Junnan Li:
Aria: An Open Multimodal Native Mixture-of-Experts Model. CoRR abs/2410.05993 (2024) - [i42]Fengji Zhang, Linquan Wu, Huiyu Bai, Guancheng Lin, Xiao Li, Xiao Yu, Yue Wang, Bei Chen, Jacky Keung:
HumanEval-V: Evaluating Visual Understanding and Reasoning Abilities of Large Multimodal Models Through Coding Tasks. CoRR abs/2410.12381 (2024) - 2023
- [j28]Quan Xu, Shoukui Ding, Han Bao, Bei Chen, Bocheng Bao:
Activation Function Effects and Simplified Implementation for Hopfield Neural Network. J. Circuits Syst. Comput. 32(18): 2350313:1-2350313:20 (2023) - [j27]Jingjian Yang, Gang Zhang, Bei Chen, Yunda Wang:
Vibration Signal Augmentation Method for Fault Diagnosis of Low-Voltage Circuit Breaker Based on W-CGAN. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [c71]Dieu-Thu Le, Gabriela Hernández, Bei Chen, Melanie Bradford:
Reducing cohort bias in natural language understanding systems with targeted self-training scheme. ACL (industry) 2023: 552-560 - [c70]Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen:
Making Language Models Better Reasoners with Step-Aware Verifier. ACL (1) 2023: 5315-5333 - [c69]Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Yongji Wang, Jian-Guang Lou:
Large Language Models Meet NL2Code: A Survey. ACL (1) 2023: 7443-7464 - [c68]Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang:
How Do In-Context Examples Affect Compositional Generalization? ACL (1) 2023: 11027-11052 - [c67]Fengji Zhang, Bei Chen, Yue Zhang, Jacky Keung, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, Weizhu Chen:
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation. EMNLP 2023: 2471-2484 - [c66]Xinyu Zhu, Cheng Yang, Bei Chen, Siheng Li, Jian-Guang Lou, Yujiu Yang:
Question Answering as Programming for Solving Time-Sensitive Questions. EMNLP 2023: 12775-12790 - [c65]Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou:
Skill-Based Few-Shot Selection for In-Context Learning. EMNLP 2023: 13472-13492 - [c64]Bei Chen, Gaolei Li, Mingzhe Chen, Yuchen Liu, Xiaoyu Yi, Jianhua Li:
PBE-Plan: Periodic Backdoor Erasing Plan for Trustworthy Federated Learning. HPCC/DSS/SmartCity/DependSys 2023: 41-48 - [c63]Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou:
Does Deep Learning Learn to Abstract? A Systematic Probing Framework. ICLR 2023 - [c62]Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen:
CodeT: Code Generation with Generated Tests. ICLR 2023 - [i41]Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou:
Does Deep Learning Learn to Abstract? A Systematic Probing Framework. CoRR abs/2302.11978 (2023) - [i40]Fengji Zhang, Bei Chen, Yue Zhang, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, Weizhu Chen:
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation. CoRR abs/2303.12570 (2023) - [i39]Sungmin Kang, Bei Chen, Shin Yoo, Jian-Guang Lou:
Explainable Automated Debugging via Large Language Model-driven Scientific Debugging. CoRR abs/2304.02195 (2023) - [i38]Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang:
How Do In-Context Examples Affect Compositional Generalization? CoRR abs/2305.04835 (2023) - [i37]Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou:
Skill-Based Few-Shot Selection for In-Context Learning. CoRR abs/2305.14210 (2023) - [i36]Xinyu Zhu, Cheng Yang, Bei Chen, Siheng Li, Jian-Guang Lou, Yujiu Yang:
Question Answering as Programming for Solving Time-Sensitive Questions. CoRR abs/2305.14221 (2023) - [i35]Daoguang Zan, Bei Chen, Yongshun Gong, Junzhi Cao, Fengji Zhang, Bingchao Wu, Bei Guan, Yilong Yin, Yongji Wang:
Private-Library-Oriented Code Generation with Large Language Models. CoRR abs/2307.15370 (2023) - [i34]Ensheng Shi, Fengji Zhang, Yanlin Wang, Bei Chen, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
SoTaNa: The Open-Source Software Development Assistant. CoRR abs/2308.13416 (2023) - [i33]Daoguang Zan, Ailun Yu, Bo Shen, Jiaxin Zhang, Taihong Chen, Bing Geng, Bei Chen, Jichuan Ji, Yafen Yao, Yongji Wang, Qianxiang Wang:
Can Programming Languages Boost Each Other via Instruction Tuning? CoRR abs/2308.16824 (2023) - 2022
- [j26]Cheng Shi, Pengju Liu, Yapeng Chen, Zhenyu Zhou, Junzhong Yang, Chenkai Zhao, Bei Chen, Sen Yang, Shahid Mumtaz:
Adversarial learning-based multi-timescale network resource management in multi-mode green IoT network for smart building. IET Commun. 16(14): 1739-1751 (2022) - [j25]Bei Chen, Xinxin Cheng, Huagan Wu, Bocheng Bao, Quan Xu:
Infinitely Many Necklace-Shaped Coexisting Attractors in a Nonautonomous Memcapacitive Oscillator. Int. J. Bifurc. Chaos 32(2): 2250028:1-2250028:14 (2022) - [j24]Yang Zhang, Jin Liu, Bo Huang, Bei Chen:
Entity Linking Method for Chinese Short Text Based on Siamese-Like Network. Inf. 13(8): 397 (2022) - [j23]Bei Chen, Tinggang Jia, Yugang Niu:
Co-design of transition rates and sliding mode switched controller for Markovian jumping systems under intermittent DoS attacks. J. Frankl. Inst. 359(8): 3549-3574 (2022) - [j22]Xuyang Li, Yu Zheng, Bei Chen, Enrang Zheng:
Dual Attention-Based Industrial Surface Defect Detection with Consistency Loss. Sensors 22(14): 5141 (2022) - [j21]Jiarui Li, Yugang Niu, Hak-Keung Lam, Bei Chen:
Sliding Mode Reliable Control Under Redundant Channel: A Novel Censored Analog Fading Measurement. IEEE Trans. Control. Netw. Syst. 9(3): 1409-1420 (2022) - [j20]Bei Chen, Yugang Niu, Hongjian Liu:
Input-to-State Stabilization of Stochastic Markovian Jump Systems Under Communication Constraints: Genetic Algorithm-Based Performance Optimization. IEEE Trans. Cybern. 52(10): 10379-10392 (2022) - [c61]Xuhang Xie, Xuesong Lu, Bei Chen:
Multi-task Learning for Paraphrase Generation With Keyword and Part-of-Speech Reconstruction. ACL (Findings) 2022: 1234-1243 - [c60]Yekai Yang, Bei Chen, Kun Xu, Yugang Niu:
Security Sliding Mode Control for Interval Type-2 Fuzzy Systems Under Hybrid Cyber-Attacks. ASCC 2022: 1033-1038 - [c59]Jose Garrido Ramas, Dieu-Thu Le, Bei Chen, Manoj Kumar, Kay Rottmann:
Unsupervised training data re-weighting for natural language understanding with local distribution approximation. EMNLP (Industry Track) 2022: 154-160 - [c58]Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou:
When Language Model Meets Private Library. EMNLP (Findings) 2022: 277-288 - [c57]Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou:
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training. EMNLP (Findings) 2022: 471-485 - [c56]Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Qiang Fu, Yan Gao, Jian-Guang Lou, Weizhu Chen:
Reasoning Like Program Executors. EMNLP 2022: 761-779 - [c55]Zhi Chen, Bei Chen, Lu Chen, Kai Yu, Jian-Guang Lou:
AdapterShare: Task Correlation Modeling with Adapter Differentiation. EMNLP 2022: 10645-10651 - [c54]Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou:
TAPEX: Table Pre-training via Learning a Neural SQL Executor. ICLR 2022 - [c53]Enrico Piovano, Dieu-Thu Le, Bei Chen, Melanie Bradford:
Online Adaptive Metrics for Model Evaluation on Non-representative Offline Test Data. ICPR 2022: 4464-4470 - [c52]Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou:
CERT: Continual Pre-training on Sketches for Library-oriented Code Generation. IJCAI 2022: 2369-2375 - [c51]Run Chen, Yuzhong Xiao, Yonggang Chen, Hua Xu, Peng Yu, Qi Peng, Xian Li, Xiaofeng Guo, Jianlong Huang, Nansong Li, Xueqing Hu, Rongde Ou, Wenzhe Liu, Bei Chen, Wen Zhang, Xiaofeng Xin, Bingcai Zhao, Zhenqi Chen:
A 6.5-to-10GHz IEEE 802.15.4/4z-Compliant 1T3R UWB Transceiver. ISSCC 2022: 396-398 - [c50]Zhi Chen, Lu Chen, Bei Chen, Libo Qin, Yuncong Liu, Su Zhu, Jian-Guang Lou, Kai Yu:
UniDU: Towards A Unified Generative Dialogue Understanding Framework. SIGDIAL 2022: 442-455 - [i32]Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou:
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training. CoRR abs/2201.08081 (2022) - [i31]Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Yan Gao, Qiang Fu, Jian-Guang Lou, Weizhu Chen:
Reasoning Like Program Executors. CoRR abs/2201.11473 (2022) - [i30]Shengnan An, Yifei Li, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou:
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models. CoRR abs/2203.03131 (2022) - [i29]Zhi Chen, Lu Chen, Bei Chen, Libo Qin, Yuncong Liu, Su Zhu, Jian-Guang Lou, Kai Yu:
UniDU: Towards A Unified Generative Dialogue Understanding Framework. CoRR abs/2204.04637 (2022) - [i28]Zhi Chen, Jijia Bao, Lu Chen, Yuncong Liu, Da Ma, Bei Chen, Mengyue Wu, Su Zhu, Jian-Guang Lou, Kai Yu:
DialogZoo: Large-Scale Dialog-Oriented Task Learning. CoRR abs/2205.12662 (2022) - [i27]Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen:
On the Advance of Making Language Models Better Reasoners. CoRR abs/2206.02336 (2022) - [i26]Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou:
CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation. CoRR abs/2206.06888 (2022) - [i25]Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen:
CodeT: Code Generation with Generated Tests. CoRR abs/2207.10397 (2022) - [i24]Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou:
When Language Model Meets Private Library. CoRR abs/2210.17236 (2022) - [i23]Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Yongji Wang, Jian-Guang Lou:
When Neural Model Meets NL2Code: A Survey. CoRR abs/2212.09420 (2022) - 2021
- [j19]Bei Chen, Quan Xu, Mo Chen, Huagan Wu, Bocheng Bao:
Initial-condition-switched boosting extreme multistability and mechanism analysis in a memcapacitive oscillator. Frontiers Inf. Technol. Electron. Eng. 22(11): 1517-1531 (2021) - [c49]Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang:
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization. AAAI 2021: 7601-7609 - [c48]Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang:
Learning Algebraic Recombination for Compositional Generalization. ACL/IJCNLP (Findings) 2021: 1129-1144 - [c47]Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang:
Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing. IJCAI 2021: 3864-3870 - [c46]Bei Chen:
Analysis on the Influencing Factors of Digital Economy Development in Chinese Cities. IPEC 2021: 916-920 - [c45]Syed Yousaf Shah, Dhaval Patel, Long Vu, Xuan-Hong Dang, Bei Chen, Peter Kirchner, Horst Samulowitz, David Wood, Gregory Bramble, Wesley M. Gifford, Giridhar Ganapavarapu, Roman Vaculín, Petros Zerfos:
AutoAI-TS: AutoAI for Time Series Forecasting. SIGMOD Conference 2021: 2584-2596 - [i22]Syed Yousaf Shah, Dhaval Patel, Long Vu, Xuan-Hong Dang, Bei Chen, Peter Kirchner, Horst Samulowitz, David Wood, Gregory Bramble, Wesley M. Gifford, Giridhar Ganapavarapu, Roman Vaculín, Petros Zerfos:
AutoAI-TS: AutoAI for Time Series Forecasting. CoRR abs/2102.12347 (2021) - [i21]Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang:
Learning Algebraic Recombination for Compositional Generalization. CoRR abs/2107.06516 (2021) - [i20]Qian Liu, Bei Chen, Jiaqi Guo, Zeqi Lin, Jian-Guang Lou:
TAPEX: Table Pre-training via Learning a Neural SQL Executor. CoRR abs/2107.07653 (2021) - 2020
- [j18]Weiwei Cui, Xiaoyu Zhang, Yun Wang, He Huang, Bei Chen, Lei Fang, Haidong Zhang, Jian-Guang Lou, Dongmei Zhang:
Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements. IEEE Trans. Vis. Comput. Graph. 26(1): 906-916 (2020) - [c44]Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang:
You Impress Me: Dialogue Generation via Mutual Persona Perception. ACL 2020: 1417-1427 - [c43]Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
Incomplete Utterance Rewriting as Semantic Segmentation. EMNLP (1) 2020: 2846-2857 - [c42]Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang:
"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL. EMNLP (1) 2020: 6913-6922 - [c41]Yekai Yang, Yugang Niu, Bei Chen, Yuanyuan Zou:
Sliding Mode Control for Interval Type-2 Fuzzy System Under Fading Channels. ICCA 2020: 1624-1629 - [c40]Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong:
A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data. IJCAI 2020: 1310-1316 - [c39]Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context. IJCAI 2020: 3580-3586 - [c38]Yu Zeng, Yan Gao, Jiaqi Guo, Bei Chen, Qian Liu, Jian-Guang Lou, Fei Teng, Dongmei Zhang:
RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task. IJCAI 2020: 3644-3650 - [c37]Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang:
Compositional Generalization by Learning Analytical Expressions. NeurIPS 2020 - [i19]Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context. CoRR abs/2002.00652 (2020) - [i18]Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang:
You Impress Me: Dialogue Generation via Mutual Persona Perception. CoRR abs/2004.05388 (2020) - [i17]Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang:
Compositional Generalization by Learning Analytical Expressions. CoRR abs/2006.10627 (2020) - [i16]Massimiliano Mattetti, Akihiro Kishimoto, Adi Botea, Elizabeth Daly, Inge Vejsbjerg, Bei Chen, Öznur Alkan:
Client Network: An Interactive Model for Predicting New Clients. CoRR abs/2007.04810 (2020) - [i15]Xiaochang Li, Bei Chen, Xuesong Lu:
Discovering Traveling Companions using Autoencoders. CoRR abs/2007.11735 (2020) - [i14]Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
Incomplete Utterance Rewriting as Semantic Segmentation. CoRR abs/2009.13166 (2020) - [i13]Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang:
"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL. CoRR abs/2011.04151 (2020) - [i12]Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang:
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization. CoRR abs/2012.04276 (2020)
2010 – 2019
- 2019
- [j17]Zhan Su, Zeshui Xu, Hua Zhao, Zhinan Hao, Bei Chen:
Entropy Measures for Probabilistic Hesitant Fuzzy Information. IEEE Access 7: 65714-65727 (2019) - [j16]Bei Chen, Yugang Niu, Yuanyuan Zou:
Security control for Markov jump system with adversarial attacks and unknown transition rates via adaptive sliding mode technique. J. Frankl. Inst. 356(6): 3333-3352 (2019) - [c36]Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang:
FANDA: A Novel Approach to Perform Follow-Up Query Analysis. AAAI 2019: 6770-6777 - [c35]Jun Song, Yugang Niu, Bei Chen:
Sliding Mode Control of State-Saturated Systems Under Dynamic Event-Triggered Protocol. ASCC 2019: 1431-1436 - [c34]Bei Chen, Wenlun Cao, Yuyao He, Zhenhong Jiao, Hong Li, Chongwu Wang:
Motor Measurement and Control System Realization in Marine Electric Propulsion. CCWC 2019: 224-226 - [c33]Haoyan Liu, Lei Fang, Qian Liu, Bei Chen, Jian-Guang Lou, Zhoujun Li:
Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL. EMNLP/IJCNLP (1) 2019: 3513-3518 - [c32]Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang Lou, Lei Fang, Bin Zhou, Dongmei Zhang:
A Split-and-Recombine Approach for Follow-up Query Analysis. EMNLP/IJCNLP (1) 2019: 5315-5325 - [c31]Bei Chen, Beat Buesser, Kelsey DiPietro:
Recurrent Neural Networks for Autoregressive Moving Average Model Selection. ICBK 2019: 33-41 - [c30]Bei Chen, Rahul Nair, Inge Vejsbjerg:
RSM: An Explainable Predictive Sales Route Selector. ICDM Workshops 2019: 1090-1093 - [c29]Bei Chen, Jiabin Yuan, Xiuping Bao:
Automatic 2D-to-3D Video Conversion using 3D Densely Connected Convolutional Networks. ICTAI 2019: 361-367 - [c28]Xiuping Bao, Jiabin Yuan, Bei Chen:
ECPNet: An Efficient Attention-Based Convolution Network with Pseudo-3D Block for Human Action Recognition. ICTAI 2019: 598-605 - [c27]Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang:
λOpt: Learn to Regularize Recommender Models in Finer Levels. KDD 2019: 978-986 - [c26]Akihiro Kishimoto, Beat Buesser, Bei Chen, Adi Botea:
Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning. NeurIPS 2019: 7224-7234 - [i11]