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Pu Zhao

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InstructGIE: Towards Generalizable Image Editing

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Mar 08, 2024
Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang

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DiffClass: Diffusion-Based Class Incremental Learning

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Mar 08, 2024
Zichong Meng, Jie Zhang, Changdi Yang, Zheng Zhan, Pu Zhao, Yanzhi WAng

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Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides

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Feb 27, 2024
Kaikai An, Fangkai Yang, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Qi Zhang

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EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge

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Feb 16, 2024
Xuan Shen, Zhenglun Kong, Changdi Yang, Zhaoyang Han, Lei Lu, Peiyan Dong, Cheng Lyu, Chih-hsiang Li, Xuehang Guo, Zhihao Shu, Wei Niu, Miriam Leeser, Pu Zhao, Yanzhi Wang

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Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning

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Jan 30, 2024
Chenan Wang, Pu Zhao, Siyue Wang, Xue Lin

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Contrastive Learning with Negative Sampling Correction

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Jan 13, 2024
Lu Wang, Chao Du, Pu Zhao, Chuan Luo, Zhangchi Zhu, Bo Qiao, Wei Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

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TaskWeaver: A Code-First Agent Framework

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Dec 01, 2023
Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

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Self-Guard: Empower the LLM to Safeguard Itself

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Oct 24, 2023
Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong

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Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network

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Sep 28, 2023
Hao Cheng, Jiahang Cao, Erjia Xiao, Pu Zhao, Mengshu Sun, Jiaxu Wang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu

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