Taiqiang Wu - RankMe

61 papers A* 5A 5B 2Misc 4Journal 39Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Reasoning in Autonomous Driving Systems: Open Challenges and Emerging Paradigms. CoRR Kejin Yu, Yuhan Sun, Taiqiang Wu, Ruixu Zhang, Zhiqiang Lin, Yuxin Meng, Junjie Wang, Yujiu Yang
2026	—	`conf`	Activation-Free Implicit Neural Representation via Finite-State-Machine Based Stochastic Computing. ASP-DAC Xincheng Feng, Wenyong Zhou, Taiqiang Wu, Meng Li, Zhengwu Liu, Ngai Wong
2026	J	`jnl`	A‌ Survey of Reasoning in Autonomous Driving Systems: Open Challenges and Emerging Paradigms. Trans. Mach. Learn. Res. Kejin Yu, Yuhan Sun, Taiqiang Wu, Ruixu Zhang, Zhiqiang Lin, Weizhi Meng, Junjie Wang, Yujiu Yang
2026	J	`jnl`	BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models. CoRR Junyu Chen, Jungang Li, Jing Xiong, Wenjie Wang, Qingyao Yang, He Xiao, Zhen Li, Taiqiang Wu, Mengzhao Chen, Zhen Peng, Chaofan Tao, Long Shi, Hongxia Yang, Ngai Wong
2026	J	`jnl`	Can We Trust LLMs on Memristors? Diving into Reasoning Ability under Non-Ideality. CoRR Taiqiang Wu, Yuxin Cheng, Chenchen Ding, Runming Yang, Xincheng Feng, Wenyong Zhou, Zhengwu Liu, Ngai Wong
2026	J	`jnl`	LINA: Linear Autoregressive Image Generative Models with Continuous Tokens. CoRR Jiahao Wang, Ting Pan, Haoge Deng, Dongchen Han, Taiqiang Wu, Xinlong Wang, Ping Luo
2026	J	`jnl`	MMFormalizer: Multimodal Autoformalization in the Wild. CoRR Jing Xiong, Qi Han, Yunta Hsieh, Hui Shen, Huajian Xin, Chaofan Tao, Chenyang Zhao, Hengyuan Zhang, Taiqiang Wu, Zhen Zhang, Haochen Wang, Zhongwei Wan, Lingpeng Kong, Ngai Wong
2026	J	`jnl`	ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection. CoRR Tao Liu, Taiqiang Wu, Runming Yang, Shaoning Sun, Junjie Wang, Yujiu Yang
2026	J	`jnl`	The Art of Efficient Reasoning: Data, Reward, and Optimization. CoRR Taiqiang Wu, Zenan Xu, Bo Zhou, Ngai Wong
2025	J	`jnl`	A Survey on the Honesty of Large Language Models. Trans. Mach. Learn. Res. 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
2025	J	`jnl`	Autoregressive Models in Vision: A Survey. Trans. Mach. Learn. Res. 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
2025	A	`conf`	Distribution-Aware Hadamard Quantization for Hardware-Efficient Implicit Neural Representations. ICME Wenyong Zhou, Jiachen Ren, Taiqiang Wu, Yuxin Cheng, Zhengwu Liu, Ngai Wong
2025	J	`jnl`	Distribution-Aware Hadamard Quantization for Hardware-Efficient Implicit Neural Representations. CoRR Wenyong Zhou, Jiachen Ren, Taiqiang Wu, Yuxin Cheng, Zhengwu Liu, Ngai Wong
2025	B	`conf`	Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs. COLING Taiqiang Wu, Zhe Zhao, Jiahao Wang, Xingyu Bai, Lei Wang, Ngai Wong, Yujiu Yang
2025	Misc	`conf`	Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations. ICASSP Wenyong Zhou, Yuxin Cheng, Zhengwu Liu, Taiqiang Wu, Chen Zhang, Ngai Wong
2025	J	`jnl`	Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations. CoRR Wenyong Zhou, Yuxin Cheng, Zhengwu Liu, Taiqiang Wu, Chen Zhang, Ngai Wong
2025	J	`jnl`	HaLoRA: Hardware-aware Low-Rank Adaptation for Large Language Models Based on Hybrid Compute-in-Memory Architecture. CoRR Taiqiang Wu, Chenchen Ding, Wenyong Zhou, Yuxin Cheng, Xincheng Feng, Shuqi Wang, Chufan Shi, Zhengwu Liu, Ngai Wong
2025	J	`jnl`	LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation. CoRR 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
2025	Misc	`conf`	MINR: Efficient Implicit Neural Representations for Multi-Image Encoding. ICASSP Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Yuxin Cheng, Chen Zhang, Ngai Wong
2025	J	`jnl`	MINR: Efficient Implicit Neural Representations for Multi-Image Encoding. CoRR Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Yuxin Cheng, Chen Zhang, Ngai Wong
2025	A*	`conf`	NoiseZO: RRAM Noise-Driven Zeroth-Order Optimization for Efficient Forward-Only Training. DAC Shuqi Wang, Zhengwu Liu, Chenchen Ding, Chen Zhang, Taiqiang Wu, Jiajun Zhou, Ngai Wong
2025	J	`jnl`	Perspective-aware 3D Gaussian Inpainting with Multi-view Consistency. CoRR Yuxin Cheng, Binxiao Huang, Taiqiang Wu, Wenyong Zhou, Chenchen Ding, Zhengwu Liu, Graziano Chesi, Ngai Wong
2025	J	`jnl`	PhyX: Does Your Model Have the "Wits" for Physical Reasoning? CoRR 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
2025	J	`jnl`	QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation. CoRR Wenyong Zhou, Boyu Li, Jiachen Ren, Taiqiang Wu, Zhilin Ai, Zhengwu Liu, Ngai Wong
2025	J	`jnl`	QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation. IEEE Trans. Circuits Syst. II Express Briefs Wenyong Zhou, Boyu Li, Jiachen Ren, Taiqiang Wu, Zhilin Ai, Zhengwu Liu, Ngai Wong
2025	A*	`conf`	Re-Activating Frozen Primitives for 3D Gaussian Splatting. ACM Multimedia Yuxin Cheng, Binxiao Huang, Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Graziano Chesi, Ngai Wong
2025	J	`jnl`	Re-Activating Frozen Primitives for 3D Gaussian Splatting. CoRR Yuxin Cheng, Binxiao Huang, Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Graziano Chesi, Ngai Wong
2025	B	`conf`	Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. COLING Taiqiang Wu, Chaofan Tao, Jiahao Wang, Runming Yang, Zhe Zhao, Ngai Wong
2025	J	`jnl`	Revisiting Model Interpolation for Efficient Reasoning. CoRR Taiqiang Wu, Runming Yang, Tao Liu, Jiahao Wang, Ngai Wong
2025	J	`jnl`	Shadow-FT: Tuning Instruct via Base. CoRR Taiqiang Wu, Runming Yang, Jiayi Li, Pengfei Hu, Ngai Wong, Yujiu Yang
2025	J	`jnl`	SwingArena: Competitive Programming Arena for Long-context GitHub Issue Solving. CoRR 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
2025	J	`jnl`	Timber: Training-free Instruct Model Refining with Base via Effective Rank. CoRR Taiqiang Wu, Runming Yang, Tao Liu, Jiahao Wang, Zenan Xu, Ngai Wong
2025	A	`conf`	Towards Robust RRAM-Based Vision Transformer Models with Noise-Aware Knowledge Distillation. DATE Wenyong Zhou, Zhengwu Liu, Taiqiang Wu, Chenchen Ding, Yuan Ren, Ngai Wong
2024	J	`jnl`	A Survey on the Honesty of Large Language Models. CoRR 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
2024	J	`jnl`	Autoregressive Models in Vision: A Survey. CoRR 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
2024	J	`jnl`	LLM-Neo: Parameter Efficient Knowledge Distillation for Large Language Models. CoRR Runming Yang, Taiqiang Wu, Jiahao Wang, Pengfei Hu, Ngai Wong, Yujiu Yang
2024	A	`conf`	LoCa: Logit Calibration for Knowledge Distillation. ECAI Runming Yang, Taiqiang Wu, Yujiu Yang
2024	J	`jnl`	LoCa: Logit Calibration for Knowledge Distillation. CoRR Runming Yang, Taiqiang Wu, Yujiu Yang
2024	A	`conf`	MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers. ICCAD Zebin Yang, Renze Chen, Taiqiang Wu, Ngai Wong, Yun Liang, Runsheng Wang, Ru Huang, Meng Li
2024	J	`jnl`	MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers. CoRR Zebin Yang, Renze Chen, Taiqiang Wu, Ngai Wong, Yun Liang, Runsheng Wang, Ru Huang, Meng Li
2024	A*	`conf`	Mixture-of-Subspaces in Low-Rank Adaptation. EMNLP Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong
2024	J	`jnl`	Mixture-of-Subspaces in Low-Rank Adaptation. CoRR Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong
2024	J	`jnl`	Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. CoRR Taiqiang Wu, Chaofan Tao, Jiahao Wang, Zhe Zhao, Ngai Wong
2024	A*	`conf`	Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast. NeurIPS Chufan Shi, Cheng Yang, Xinyu Zhu, Jiahao Wang, Taiqiang Wu, Siheng Li, Deng Cai, Yujiu Yang, Yu Meng
2024	J	`jnl`	Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast. CoRR Chufan Shi, Cheng Yang, Xinyu Zhu, Jiahao Wang, Taiqiang Wu, Siheng Li, Deng Cai, Yujiu Yang, Yu Meng
2024	—	`conf`	Weight-Inherited Distillation for Task-Agnostic BERT Compression. NAACL-HLT (Findings) Taiqiang Wu, Cheng Hou, Shanshan Lao, Jiayi Li, Ngai Wong, Zhe Zhao, Yujiu Yang
2023	J	`jnl`	Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs. CoRR Taiqiang Wu, Zhe Zhao, Jiahao Wang, Xingyu Bai, Lei Wang, Ngai Wong, Yujiu Yang
2023	A	`conf`	Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval. WSDM Taiqiang Wu, Xingyu Bai, Weigang Guo, Weijie Liu, Siheng Li, Yujiu Yang
2023	A*	`conf`	RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer. CVPR Jiahao Wang, Songyang Zhang, Yong Liu, Taiqiang Wu, Yujiu Yang, Xihui Liu, Kai Chen, Ping Luo, Dahua Lin
2023	J	`jnl`	RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer. CoRR Jiahao Wang, Songyang Zhang, Yong Liu, Taiqiang Wu, Yujiu Yang, Xihui Liu, Kai Chen, Ping Luo, Dahua Lin
2023	Misc	`conf`	Recouple Event Field via Probabilistic Bias for Event Extraction. ICASSP Xingyu Bai, Taiqiang Wu, Han Guo, Zhe Zhao, Xuefeng Yang, Jiayi Li, Weijie Liu, Qi Ju, Weigang Guo, Yujiu Yang
2023	J	`jnl`	Recouple Event Field via Probabilistic Bias for Event Extraction. CoRR Xingyu Bai, Taiqiang Wu, Han Guo, Zhe Zhao, Xuefeng Yang, Jiayi Li, Weijie Liu, Qi Ju, Weigang Guo, Yujiu Yang
2023	J	`jnl`	SynGen: A Syntactic Plug-and-play Module for Generative Aspect-based Sentiment Analysis. CoRR Chengze Yu, Taiqiang Wu, Jiayi Li, Xingyu Bai, Yujiu Yang
2023	Misc	`conf`	Syngen: A Syntactic Plug-And-Play Module for Generative Aspect-Based Sentiment Analysis. ICASSP Chengze Yu, Taiqiang Wu, Jiayi Li, Xingyu Bai, Yujiu Yang
2023	—	`conf`	TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. ACL (demo) 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
2023	J	`jnl`	Weight-Inherited Distillation for Task-Agnostic BERT Compression. CoRR Taiqiang Wu, Cheng Hou, Zhe Zhao, Shanshan Lao, Jiayi Li, Ngai Wong, Yujiu Yang
2022	J	`jnl`	Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval. CoRR Taiqiang Wu, Xingyu Bai, Weigang Guo, Weijie Liu, Siheng Li, Yujiu Yang
2022	—	`conf`	Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching. NAACL-HLT (Findings) 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
2022	—	`conf`	Prompt-based Model for Acronym Disambiguation via Negative Sampling. SDU@AAAI Taiqiang Wu, Xingyu Bai, Yujiu Yang
2022	J	`jnl`	TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. CoRR 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
2021	—	`conf`	Overview of the NLPCC 2021 Shared Task: AutoIE2. NLPCC (2) Weigang Guo, Xuefeng Yang, Xingyu Bai, Taiqiang Wu, Weijie Liu, Zhe Zhao, Qi Ju, Yujiu Yang