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LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation.

Z. He, P. Cao, Y. Chen, K. Liu, R. Li, M. Sun, и J. Zhao. EMNLP (Findings), стр. 9142-9163. Association for Computational Linguistics, (2023)

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Yü-Sün Sun

Deming Sun

Yang Sun

Jianguo Sun

Shenggang Sun

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Adversarial T-Shirt! Evading Person Detectors in a Physical World.K. Xu, G. Zhang, S. Liu, Q. Fan, M. Sun, H. Chen, P. Chen, Y. Wang, и X. Lin. ECCV (5), том 12350 из Lecture Notes in Computer Science, стр. 665-681. Springer, (2020)From Post to Values: Mining Schwartz Values of Individuals from Social Media.M. Sun, H. Zhang, Y. Zhao, и J. Shang. SMP, том 489 из Communications in Computer and Information Science, стр. 206-219. Springer, (2014)ChatUIE: Exploring Chat-based Unified Information Extraction using Large Language Models.J. Xu, M. Sun, Z. Zhang, и J. Zhou. CoRR, (2024)Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices.W. Niu, M. Sun, Z. Li, J. Chen, J. Guan, X. Shen, Y. Wang, X. Lin, и B. Ren. CoRR, (2020)Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression.M. Sun, S. Lin, S. Liu, S. Li, Y. Wang, W. Jiang, и W. Wang. FCCM, стр. 1. IEEE, (2022)Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications.H. Li, G. Yuan, W. Niu, Y. Cai, M. Sun, Z. Li, B. Ren, X. Lin, и Y. Wang. ASP-DAC, стр. 581-586. ACM, (2021)FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization.M. Sun, Z. Li, A. Lu, Y. Li, S. Chang, X. Ma, X. Lin, и Z. Fang. FPGA, стр. 134-145. ACM, (2022)Hardware-efficient stochastic rounding unit design for DNN training: late breaking results.S. Chang, G. Yuan, A. Lu, M. Sun, Y. Li, X. Ma, Z. Li, Y. Xie, M. Qin, X. Lin и 2 other автор(ы). DAC, стр. 1396-1397. ACM, (2022)MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework.S. Chang, Y. Li, M. Sun, W. Jiang, R. Shi, X. Lin, и Y. Wang. CoRR, (2020)Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework.S. Chang, Y. Li, M. Sun, R. Shi, H. So, X. Qian, Y. Wang, и X. Lin. CoRR, (2020)

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