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2020 – today
- 2025
[c14]Taiqiang Wu, Zhe Zhao, Jiahao Wang, Xingyu Bai, Lei Wang, Ngai Wong, Yujiu Yang:
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs. COLING 2025: 5656-5667- [c13]Taiqiang Wu, Chaofan Tao, Jiahao Wang, Runming Yang, Zhe Zhao, Ngai Wong:
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. COLING 2025: 5737-5755 - [i17]Jiahao Wang, Ning Kang, Lewei Yao, Mengzhao Chen, Chengyue Wu, Songyang Zhang, Shuchen Xue, Yong Liu, Taiqiang Wu, Xihui Liu, Kaipeng Zhang, Shifeng Zhang, Wenqi Shao, Zhenguo Li, Ping Luo:
LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation. CoRR abs/2501.12976 (2025) - [i16]Taiqiang Wu, Chenchen Ding, Wenyong Zhou, Yuxin Cheng, Xincheng Feng, Shuqi Wang, Chufan Shi, Zhengwu Liu, Ngai Wong:
HaLoRA: Hardware-aware Low-Rank Adaptation for Large Language Models Based on Hybrid Compute-in-Memory Architecture. CoRR abs/2502.19747 (2025) - 2024
- [c12]Runming Yang, Taiqiang Wu, Yujiu Yang:
LoCa: Logit Calibration for Knowledge Distillation. ECAI 2024: 2410-2417 - [c11]Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong:
Mixture-of-Subspaces in Low-Rank Adaptation. EMNLP 2024: 7880-7899 - [c10]Taiqiang Wu, Cheng Hou, Shanshan Lao, Jiayi Li, Ngai Wong, Zhe Zhao, Yujiu Yang:
Weight-Inherited Distillation for Task-Agnostic BERT Compression. NAACL-HLT (Findings) 2024: 13-28 - [c9]Chufan Shi, Cheng Yang, Xinyu Zhu, Jiahao Wang, Taiqiang Wu, Siheng Li, Deng Cai, Yujiu Yang, Yu Meng:
Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast. NeurIPS 2024 - [i15]Taiqiang Wu, Chaofan Tao, Jiahao Wang, Zhe Zhao, Ngai Wong:
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. CoRR abs/2404.02657 (2024) - [i14]Chufan Shi, Cheng Yang, Xinyu Zhu, Jiahao Wang, Taiqiang Wu, Siheng Li, Deng Cai, Yujiu Yang, Yu Meng:
Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast. CoRR abs/2405.14507 (2024) - [i13]Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong:
Mixture-of-Subspaces in Low-Rank Adaptation. CoRR abs/2406.11909 (2024) - [i12]Runming Yang, Taiqiang Wu, Yujiu Yang:
LoCa: Logit Calibration for Knowledge Distillation. CoRR abs/2409.04778 (2024) - [i11]Siheng Li, Cheng Yang, Taiqiang Wu, Chufan Shi, Yuji Zhang, Xinyu Zhu, Zesen Cheng, Deng Cai, Mo Yu, Lemao Liu, Jie Zhou, Yujiu Yang, Ngai Wong, Xixin Wu, Wai Lam:
A Survey on the Honesty of Large Language Models. CoRR abs/2409.18786 (2024) - [i10]Zebin Yang, Renze Chen, Taiqiang Wu, Ngai Wong, Yun Liang, Runsheng Wang, Ru Huang, Meng Li:
MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers. CoRR abs/2410.17957 (2024) - [i9]Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo
, Ping Luo, Ngai Wong:
Autoregressive Models in Vision: A Survey. CoRR abs/2411.05902 (2024) - [i8]Runming Yang, Taiqiang Wu, Jiahao Wang, Pengfei Hu, Ngai Wong, Yujiu Yang:
LLM-Neo: Parameter Efficient Knowledge Distillation for Large Language Models. CoRR abs/2411.06839 (2024) - 2023
- [c8]Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan:
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. ACL (demo) 2023: 217-225 - [c7]Jiahao Wang, Songyang Zhang, Yong Liu, Taiqiang Wu, Yujiu Yang, Xihui Liu, Kai Chen, Ping Luo, Dahua Lin:
RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer. CVPR 2023: 14443-14452 - [c6]Xingyu Bai, Taiqiang Wu, Han Guo, Zhe Zhao, Xuefeng Yang, Jiayi Li, Weijie Liu, Qi Ju, Weigang Guo, Yujiu Yang:
Recouple Event Field via Probabilistic Bias for Event Extraction. ICASSP 2023: 1-5 - [c5]Chengze Yu, Taiqiang Wu, Jiayi Li, Xingyu Bai, Yujiu Yang:
Syngen: A Syntactic Plug-And-Play Module for Generative Aspect-Based Sentiment Analysis. ICASSP 2023: 1-5 - [c4]Taiqiang Wu, Xingyu Bai, Weigang Guo, Weijie Liu, Siheng Li, Yujiu Yang:
Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval. WSDM 2023: 1021-1029 - [i7]Chengze Yu, Taiqiang Wu, Jiayi Li, Xingyu Bai, Yujiu Yang:
SynGen: A Syntactic Plug-and-play Module for Generative Aspect-based Sentiment Analysis. CoRR abs/2302.13032 (2023) - [i6]Taiqiang Wu, Zhe Zhao, Jiahao Wang, Xingyu Bai, Lei Wang, Ngai Wong, Yujiu Yang:
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs. CoRR abs/2303.13763 (2023) - [i5]Jiahao Wang, Songyang Zhang, Yong Liu, Taiqiang Wu, Yujiu Yang, Xihui Liu, Kai Chen, Ping Luo, Dahua Lin:
RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer. CoRR abs/2304.05659 (2023) - [i4]Taiqiang Wu, Cheng Hou, Zhe Zhao, Shanshan Lao, Jiayi Li, Ngai Wong, Yujiu Yang:
Weight-Inherited Distillation for Task-Agnostic BERT Compression. CoRR abs/2305.09098 (2023) - [i3]Xingyu Bai, Taiqiang Wu, Han Guo, Zhe Zhao, Xuefeng Yang, Jiayi Li, Weijie Liu, Qi Ju, Weigang Guo, Yujiu Yang:
Recouple Event Field via Probabilistic Bias for Event Extraction. CoRR abs/2305.11498 (2023) - 2022
- [c3]Taiqiang Wu, Xingyu Bai, Yujiu Yang:
Prompt-based Model for Acronym Disambiguation via Negative Sampling. SDU@AAAI 2022 - [c2]Kunbo Ding, Weijie Liu, Yuejian Fang, Zhe Zhao, Qi Ju, Xuefeng Yang, Rong Tian, Zhu Tao, Haoyan Liu, Han Guo, Xingyu Bai, Weiquan Mao, Yudong Li, Weigang Guo, Taiqiang Wu, Ningyuan Sun:
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching. NAACL-HLT (Findings) 2022: 2171-2181 - [i2]Taiqiang Wu, Xingyu Bai, Weigang Guo, Weijie Liu, Siheng Li, Yujiu Yang:
Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval. CoRR abs/2211.10991 (2022) - [i1]Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan:
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. CoRR abs/2212.06385 (2022) - 2021
- [c1]Weigang Guo, Xuefeng Yang, Xingyu Bai, Taiqiang Wu, Weijie Liu, Zhe Zhao, Qi Ju, Yujiu Yang:
Overview of the NLPCC 2021 Shared Task: AutoIE2. NLPCC (2) 2021: 519-529
Coauthor Index
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