Taiqiang Wu

According to our database, Taiqiang Wu authored at least 30 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation.

Wenyong Zhou, Boyu Li, Jiachen Ren, Taiqiang Wu, Zhilin Ai, Zhengwu Liu, Ngai Wong

CoRR, August, 2025

Distribution-Aware Hadamard Quantization for Hardware-Efficient Implicit Neural Representations.

Wenyong Zhou, Jiachen Ren, Taiqiang Wu, Yuxin Cheng, Zhengwu Liu, Ngai Wong

CoRR, August, 2025

SwingArena: Competitive Programming Arena for Long-context GitHub Issue Solving.

Wendong Xu, Jing Xiong, Chenyang Zhao, Qiujiang Chen, Haoran Wang, Hui Shen, Zhongwei Wan, Jianbo Dai, Taiqiang Wu, He Xiao, Chaofan Tao, Z. Morley Mao, Ying Sheng, Zhijiang Guo, Hongxia Yang, Bei Yu, Lingpeng Kong, Quanquan Gu, Ngai Wong

CoRR, May, 2025

PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Hui Shen, Taiqiang Wu, Qi Han, Yunta Hsieh, Jizhou Wang, Yuyue Zhang, Yuxin Cheng, Zijian Hao, Yuansheng Ni, Xin Wang, Zhongwei Wan, Kai Zhang, Wendong Xu, Jing Xiong, Ping Luo, Wenhu Chen, Chaofan Tao, Zhuoqing Mao, Ngai Wong

CoRR, May, 2025

Shadow-FT: Tuning Instruct via Base.

Taiqiang Wu, Runming Yang, Jiayi Li, Pengfei Hu, Ngai Wong, Yujiu Yang

CoRR, May, 2025

HaLoRA: Hardware-aware Low-Rank Adaptation for Large Language Models Based on Hybrid Compute-in-Memory Architecture.

Taiqiang Wu, Chenchen Ding, Wenyong Zhou, Yuxin Cheng, Xincheng Feng, Shuqi Wang, Chufan Shi, Zhengwu Liu, Ngai Wong

CoRR, February, 2025

LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation.

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

CoRR, January, 2025

Autoregressive Models in Vision: A Survey.

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

Trans. Mach. Learn. Res., 2025

A Survey on the Honesty of Large Language Models.

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

Trans. Mach. Learn. Res., 2025

MINR: Efficient Implicit Neural Representations for Multi-Image Encoding.

Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Yuxin Cheng, Chen Zhang, Ngai Wong

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations.

Wenyong Zhou, Yuxin Cheng, Zhengwu Liu, Taiqiang Wu, Chen Zhang, Ngai Wong

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Towards Robust RRAM-Based Vision Transformer Models with Noise-Aware Knowledge Distillation.

Wenyong Zhou, Zhengwu Liu, Taiqiang Wu, Chenchen Ding, Yuan Ren, Ngai Wong

Proceedings of the Design, Automation & Test in Europe Conference, 2025

Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models.

Taiqiang Wu, Chaofan Tao, Jiahao Wang, Runming Yang, Zhe Zhao, Ngai Wong

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs.

Taiqiang Wu, Zhe Zhao, Jiahao Wang, Xingyu Bai, Lei Wang, Ngai Wong, Yujiu Yang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

LLM-Neo: Parameter Efficient Knowledge Distillation for Large Language Models.

Runming Yang, Taiqiang Wu, Jiahao Wang, Pengfei Hu, Ngai Wong, Yujiu Yang

CoRR, 2024

Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models.

Taiqiang Wu, Chaofan Tao, Jiahao Wang, Zhe Zhao, Ngai Wong

CoRR, 2024

Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast.

Chufan Shi, Cheng Yang, Xinyu Zhu, Jiahao Wang, Taiqiang Wu, Siheng Li, Deng Cai, Yujiu Yang, Yu Meng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Weight-Inherited Distillation for Task-Agnostic BERT Compression.

Taiqiang Wu, Cheng Hou, Shanshan Lao, Jiayi Li, Ngai Wong, Zhe Zhao, Yujiu Yang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers.

Zebin Yang, Renze Chen, Taiqiang Wu, Ngai Wong, Yun Liang, Runsheng Wang, Ru Huang, Meng Li

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

Mixture-of-Subspaces in Low-Rank Adaptation.

Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LoCa: Logit Calibration for Knowledge Distillation.

Runming Yang, Taiqiang Wu, Yujiu Yang

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer.

Jiahao Wang, Songyang Zhang, Yong Liu, Taiqiang Wu, Yujiu Yang, Xihui Liu, Kai Chen, Ping Luo, Dahua Lin

CoRR, 2023

Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval.

Taiqiang Wu, Xingyu Bai, Weigang Guo, Weijie Liu, Siheng Li, Yujiu Yang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Syngen: A Syntactic Plug-And-Play Module for Generative Aspect-Based Sentiment Analysis.

Chengze Yu, Taiqiang Wu, Jiayi Li, Xingyu Bai, Yujiu Yang

Proceedings of the IEEE International Conference on Acoustics, 2023

Recouple Event Field via Probabilistic Bias for Event Extraction.

Xingyu Bai, Taiqiang Wu, Han Guo, Zhe Zhao, Xuefeng Yang, Jiayi Li, Weijie Liu, Qi Ju, Weigang Guo, Yujiu Yang

Proceedings of the IEEE International Conference on Acoustics, 2023

RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer.

Jiahao Wang, Songyang Zhang, Yong Liu, Taiqiang Wu, Yujiu Yang, Xihui Liu, Kai Chen, Ping Luo, Dahua Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities.

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching.

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Prompt-based Model for Acronym Disambiguation via Negative Sampling.

Taiqiang Wu, Xingyu Bai, Yujiu Yang

Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

2021

Overview of the NLPCC 2021 Shared Task: AutoIE2.

Weigang Guo, Xuefeng Yang, Xingyu Bai, Taiqiang Wu, Weijie Liu, Zhe Zhao, Qi Ju, Yujiu Yang

Proceedings of the Natural Language Processing and Chinese Computing, 2021