Overview of the NLPCC 2021 Shared Task: AutoIE2. - Weigang Guo; Xuefeng Yang; Xingyu Bai; Taiqiang Wu; Weijie Liu 002; Zhe Zhao 006; Qi Ju 002; Yujiu Yang (NLPCC (2), 2021)

Prompt-based Model for Acronym Disambiguation via Negative Sampling. - Taiqiang Wu; Xingyu Bai; Yujiu Yang (SDU@AAAI, 2022)

Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching. - Kunbo Ding; Weijie Liu 002; Yuejian Fang; Zhe Zhao 006; Qi Ju 002; Xuefeng Yang; Rong Tian; Zhu Tao; Haoyan Liu; Han Guo; Xingyu Bai; Weiquan Mao; et al. (NAACL-HLT (Findings), 2022)

TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. - Zhe Zhao 006; Yudong Li 001; Cheng Hou; Jing Zhao; Rong Tian; Weijie Liu 002; Yiren Chen; Ningyuan Sun; Haoyan Liu; Weiquan Mao; Han Guo; Weigang Guo; et al. (ACL (demo), 2023)

RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer. - Jiahao Wang; Songyang Zhang; Yong Liu 033; Taiqiang Wu; Yujiu Yang; Xihui Liu; Kai Chen 026; Ping Luo 002; Dahua Lin (CVPR, 2023)

Recouple Event Field via Probabilistic Bias for Event Extraction. - Xingyu Bai; Taiqiang Wu; Han Guo; Zhe Zhao 006; Xuefeng Yang; Jiayi Li 002; Weijie Liu 002; Qi Ju 002; Weigang Guo; Yujiu Yang (ICASSP, 2023)

Syngen: A Syntactic Plug-And-Play Module for Generative Aspect-Based Sentiment Analysis. - Chengze Yu; Taiqiang Wu; Jiayi Li 002; Xingyu Bai; Yujiu Yang (ICASSP, 2023)

Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval. - Taiqiang Wu; Xingyu Bai; Weigang Guo; Weijie Liu 002; Siheng Li; Yujiu Yang (WSDM, 2023)

RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer. - Jiahao Wang; Songyang Zhang; Yong Liu 033; Taiqiang Wu; Yujiu Yang; Xihui Liu; Kai Chen 026; Ping Luo 002; Dahua Lin (CoRR, 2023)

LoCa: Logit Calibration for Knowledge Distillation. - Runming Yang; Taiqiang Wu; Yujiu Yang (ECAI, 2024)

Mixture-of-Subspaces in Low-Rank Adaptation. - Taiqiang Wu; Jiahao Wang; Zhe Zhao 006; Ngai Wong 001 (EMNLP, 2024)

MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers. - Zebin Yang; Renze Chen; Taiqiang Wu; Ngai Wong 001; Yun Liang 001; Runsheng Wang; Ru Huang 001; Meng Li 004 (ICCAD, 2024)

Weight-Inherited Distillation for Task-Agnostic BERT Compression. - Taiqiang Wu; Cheng Hou; Shanshan Lao; Jiayi Li 002; Ngai Wong 001; Zhe Zhao 006; Yujiu Yang (NAACL-HLT (Findings), 2024)

Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast. - Chufan Shi; Cheng Yang 002; Xinyu Zhu; Jiahao Wang; Taiqiang Wu; Siheng Li; Deng Cai 002; Yujiu Yang; Yu Meng 001 (NeurIPS, 2024)

Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. - Taiqiang Wu; Chaofan Tao; Jiahao Wang; Zhe Zhao 006; Ngai Wong 001 (CoRR, 2024)

LLM-Neo: Parameter Efficient Knowledge Distillation for Large Language Models. - Runming Yang; Taiqiang Wu; Jiahao Wang; Pengfei Hu; Ngai Wong 001; Yujiu Yang (CoRR, 2024)

Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs. - Taiqiang Wu; Zhe Zhao 006; Jiahao Wang; Xingyu Bai; Lei Wang; Ngai Wong 001; Yujiu Yang (COLING, 2025)

Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. - Taiqiang Wu; Chaofan Tao; Jiahao Wang; Runming Yang; Zhe Zhao 006; Ngai Wong 001 (COLING, 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 001 (DATE, 2025)

Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations. - Wenyong Zhou; Yuxin Cheng; Zhengwu Liu; Taiqiang Wu; Chen Zhang; Ngai Wong 001 (ICASSP, 2025)

MINR: Efficient Implicit Neural Representations for Multi-Image Encoding. - Wenyong Zhou; Taiqiang Wu; Zhengwu Liu; Yuxin Cheng; Chen Zhang; Ngai Wong 001 (ICASSP, 2025)

A Survey on the Honesty of Large Language Models. - Siheng Li; Cheng Yang 002; Taiqiang Wu; Chufan Shi; Yuji Zhang 002; Xinyu Zhu; Zesen Cheng; Deng Cai 002; Mo Yu; Lemao Liu; Jie Zhou 016; Yujiu Yang; et al. (Trans. Mach. Learn. Res., 2025)

Autoregressive Models in Vision: A Survey. - Jing Xiong; Gongye Liu; Lun Huang; Chengyue Wu; Taiqiang Wu; Yao Mu 001; Yuan Yao; Hui Shen; Zhongwei Wan; Jinfa Huang; Chaofan Tao; Shen Yan; et al. (Trans. Mach. Learn. Res., 2025)

LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation. - Jiahao Wang; Ning Kang 001; Lewei Yao; Mengzhao Chen; Chengyue Wu; Songyang Zhang; Shuchen Xue; Yong Liu 033; Taiqiang Wu; Xihui Liu; Kaipeng Zhang; Shifeng Zhang; et al. (CoRR, 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 001 (CoRR, 2025)

Shadow-FT: Tuning Instruct via Base. - Taiqiang Wu; Runming Yang; Jiayi Li 002; Pengfei Hu; Ngai Wong 001; Yujiu Yang (CoRR, 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 033; et al. (CoRR, 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; et al. (CoRR, 2025)

Distribution-Aware Hadamard Quantization for Hardware-Efficient Implicit Neural Representations. - Wenyong Zhou; Jiachen Ren; Taiqiang Wu; Yuxin Cheng; Zhengwu Liu; Ngai Wong 001 (CoRR, 2025)

QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation. - Wenyong Zhou; Boyu Li; Jiachen Ren; Taiqiang Wu; Zhilin Ai; Zhengwu Liu; Ngai Wong 001 (CoRR, 2025)