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Qihuang Zhong
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2020 – today
- 2024
- [j7]Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao:
AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. Neural Networks 169: 506-519 (2024) - [j6]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation. IEEE Trans. Knowl. Data Eng. 36(9): 4835-4848 (2024) - [j5]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation. IEEE Trans. Knowl. Data Eng. 36(12): 8037-8050 (2024) - [c11]Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao:
Revisiting Knowledge Distillation for Autoregressive Language Models. ACL (1) 2024: 10900-10913 - [c10]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. ACL (Findings) 2024: 13721-13736 - [c9]Qihuang Zhong, Kunfeng Chen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL. EMNLP (Findings) 2024: 6874-6885 - [i20]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. CoRR abs/2402.11889 (2024) - [i19]Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao:
Revisiting Knowledge Distillation for Autoregressive Language Models. CoRR abs/2402.11890 (2024) - [i18]Qihuang Zhong, Kang Wang, Ziyang Xu, Juhua Liu, Liang Ding, Bo Du, Dacheng Tao:
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Reasoners. CoRR abs/2404.14963 (2024) - [i17]Haiyun Li, Qihuang Zhong, Ke Zhu, Juhua Liu, Bo Du, Dacheng Tao:
Iterative Data Augmentation with Large Language Models for Aspect-based Sentiment Analysis. CoRR abs/2407.00341 (2024) - [i16]Qihuang Zhong, Kunfeng Chen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL. CoRR abs/2410.11371 (2024) - 2023
- [j4]Qihuang Zhong, Fanzhou Zeng, Fei Liao, Juhua Liu, Bo Du, Jedi S. Shang:
Joint image and feature adaptative attention-aware networks for cross-modality semantic segmentation. Neural Comput. Appl. 35(5): 3665-3676 (2023) - [j3]Juhua Liu, Qihuang Zhong, Liang Ding, Hua Jin, Bo Du, Dacheng Tao:
Unified Instance and Knowledge Alignment Pretraining for Aspect-Based Sentiment Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2629-2642 (2023) - [j2]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Hua Jin, Dacheng Tao:
Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 35(10): 10098-10111 (2023) - [c8]Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, Dacheng Tao:
Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. ACL (2) 2023: 841-850 - [c7]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
Self-Evolution Learning for Discriminative Language Model Pretraining. ACL (Findings) 2023: 4130-4145 - [c6]Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao:
Revisiting Token Dropping Strategy in Efficient BERT Pretraining. ACL (1) 2023: 10391-10405 - [c5]Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Towards Making the Most of ChatGPT for Machine Translation. EMNLP (Findings) 2023: 5622-5633 - [c4]Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao:
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. EMNLP 2023: 8964-8974 - [c3]Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models. EMNLP 2023: 11305-11327 - [i15]Qihuang Zhong, Liang Ding, Keqin Peng, Juhua Liu, Bo Du, Li Shen, Yibing Zhan, Dacheng Tao:
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE. CoRR abs/2302.09268 (2023) - [i14]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT. CoRR abs/2302.10198 (2023) - [i13]Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao:
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks. CoRR abs/2303.00565 (2023) - [i12]Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Towards Making the Most of ChatGPT for Machine Translation. CoRR abs/2303.13780 (2023) - [i11]Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Dongsheng Li, Dacheng Tao:
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. CoRR abs/2305.13547 (2023) - [i10]Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao:
Revisiting Token Dropping Strategy in Efficient BERT Pretraining. CoRR abs/2305.15273 (2023) - [i9]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
Self-Evolution Learning for Discriminative Language Model Pretraining. CoRR abs/2305.15275 (2023) - [i8]Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models. CoRR abs/2310.13315 (2023) - 2022
- [c2]Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao:
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis. COLING 2022: 6691-6704 - [c1]Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao:
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. EMNLP (Findings) 2022: 4064-4085 - [i7]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Hua Jin, Dacheng Tao:
Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis. CoRR abs/2201.04831 (2022) - [i6]Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao:
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis. CoRR abs/2204.07832 (2022) - [i5]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation. CoRR abs/2205.14912 (2022) - [i4]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation. CoRR abs/2208.10160 (2022) - [i3]Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao:
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. CoRR abs/2210.05497 (2022) - [i2]Qihuang Zhong, Liang Ding, Yibing Zhan, Yu Qiao, Yonggang Wen, Li Shen, Juhua Liu, Baosheng Yu, Bo Du, Yixin Chen, Xinbo Gao, Chunyan Miao, Xiaoou Tang, Dacheng Tao:
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. CoRR abs/2212.01853 (2022) - 2021
- [i1]Juhua Liu, Qihuang Zhong, Liang Ding, Hua Jin, Bo Du, Dacheng Tao:
Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysis. CoRR abs/2110.13398 (2021) - 2020
- [j1]Juhua Liu, Qihuang Zhong, Yuan Yuan, Hai Su, Bo Du:
SemiText: Scene text detection with semi-supervised learning. Neurocomputing 407: 343-353 (2020)
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