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2020 – today
- 2024
[j12]Shengyu Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, Gaoang Wang
:
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes. Int. J. Comput. Vis. 132(4): 1075-1090 (2024)- [j11]Guanhong Wang, Yang Zhou, Zhanhao He, Keyu Lu, Yang Feng, Zuozhu Liu, Gaoang Wang:
Knowledge-guided pre-training and fine-tuning: Video representation learning for action recognition. Neurocomputing 571: 127136 (2024) - [j10]Wanghui Ding, Kaiwei Sun, Mengfei Yu, Hangzheng Lin, Yang Feng, Jianhua Li, Zuozhu Liu:
Accurate estimation of 6-DoF tooth pose in 3D intraoral scans for dental applications using deep learning. Frontiers Inf. Technol. Electron. Eng. 25(9): 1240-1249 (2024) - [j9]Jiaxiang Liu, Tianxiang Hu, Yan Zhang, Yang Feng, Jin Hao, Junhui Lv, Zuozhu Liu:
Parameter-Efficient Transfer Learning for Medical Visual Question Answering. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2816-2826 (2024) - [j8]Jinhong Wang, Zhe Xu, Wenhao Zheng, Haochao Ying, Tingting Chen, Zuozhu Liu, Danny Z. Chen, Ke Yao, Jian Wu:
A Transformer-Based Knowledge Distillation Network for Cortical Cataract Grading. IEEE Trans. Medical Imaging 43(3): 1089-1101 (2024) - [c41]Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu:
Robustness-Guided Image Synthesis for Data-Free Quantization. AAAI 2024: 10971-10979 - [c40]Ruizhe Chen, Tianxiang Hu, Yang Feng, Zuozhu Liu:
Learnable Privacy Neurons Localization in Language Models. ACL (Short Papers) 2024: 256-264 - [c39]Songtao Jiang, Tuo Zheng, Yan Zhang, Yeying Jin, Li Yuan, Zuozhu Liu:
Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models. EMNLP (Findings) 2024: 3843-3860 - [c38]Jiaxiang Liu, Tianxiang Hu, Huimin Xiong, Jiawei Du, Yang Feng, Jian Wu, Joey Zhou, Zuozhu Liu:
VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis. EMNLP (Findings) 2024: 9978-9992 - [c37]Jiabao Pan, Yan Zhang, Chen Zhang, Zuozhu Liu, Hongwei Wang, Haizhou Li:
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models. EMNLP 2024: 14686-14695 - [c36]Zhiting Fan, Ruizhe Chen, Ruiling Xu, Zuozhu Liu:
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs. EMNLP 2024: 14778-14790 - [c35]Zhaopeng Feng, Ruizhe Chen, Yan Zhang, Zijie Meng, Zuozhu Liu:
Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level. EMNLP 2024: 15377-15393 - [c34]Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Zhou, Zuozhu Liu:
MedCoT: Medical Chain of Thought via Hierarchical Expert. EMNLP 2024: 17371-17389 - [c33]Chenyi Zhou, Hualiang Wang, Xiaomeng Li, Wanlu Liu, Zuozhu Liu:
Multimodal Survival Ensemble Network: Integrating Genomic and Histopathological Insights for Enhanced Cancer Prognosis. ICASSP 2024: 2330-2334 - [c32]Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Joey Tianyi Zhou, Jian Wu, Wanlu Liu, Howard Hao Yang, Zuozhu Liu:
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data. ICLR 2024 - [c31]Tuo Zheng, Jiaxiang Liu, Yang Feng, Junhui Lv, Zuozhu Liu:
Refined Individual Tooth Segmentation from Cone Beam CT Images. ISBI 2024: 1-5 - [c30]Chenyi Hong, Hualiang Wang, Zhuoxuan Wu, Zuozhu Liu, Junhui Lv:
FoTNet Enables Preoperative Differentiation of Malignant Brain Tumors with Deep Learning. CaPTion@MICCAI 2024: 14-25 - [c29]Wen Ma, Huikai Wu, Zikai Xiao, Yang Feng, Jian Wu, Zuozhu Liu:
PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-Ray. MICCAI (3) 2024: 411-421 - [c28]Tingyu Xie, Qi Li, Yan Zhang, Zuozhu Liu, Hongwei Wang:
Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models. NAACL (Short Papers) 2024: 583-593 - [i46]Zijie Meng, Yan Zhang, Zhaopeng Feng, Yang Feng, Gaoang Wang, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu:
Divide and Conquer for Large Language Models Reasoning. CoRR abs/2401.05190 (2024) - [i45]Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Jian Wu, Wanlu Liu, Joey Tianyi Zhou, Howard Hao Yang, Zuozhu Liu:
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data. CoRR abs/2401.08977 (2024) - [i44]Jianhong Bai, Tianyu He, Yuchi Wang, Junliang Guo, Haoji Hu, Zuozhu Liu, Jiang Bian:
UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing. CoRR abs/2402.13185 (2024) - [i43]Zhaopeng Feng, Yan Zhang, Hao Li, Wenqiang Liu, Jun Lang, Yang Feng, Jian Wu, Zuozhu Liu:
Improving LLM-based Machine Translation with Systematic Self-Correction. CoRR abs/2402.16379 (2024) - [i42]Songtao Jiang, Yan Zhang, Chenyi Zhou, Yeying Jin, Yang Feng, Jian Wu, Zuozhu Liu:
Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models. CoRR abs/2404.04514 (2024) - [i41]Songtao Jiang, Tuo Zheng, Yan Zhang, Yeying Jin, Zuozhu Liu:
MoE-TinyMed: Mixture of Experts for Tiny Medical Large Vision-Language Models. CoRR abs/2404.10237 (2024) - [i40]Xiaotang Gai, Chenyi Zhou, Jiaxiang Liu, Yang Feng, Jian Wu, Zuozhu Liu:
MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale. CoRR abs/2404.12372 (2024) - [i39]Ruizhe Chen, Yichen Li, Zikai Xiao, Zuozhu Liu:
Large Language Model Bias Mitigation from the Perspective of Knowledge Editing. CoRR abs/2405.09341 (2024) - [i38]Ruizhe Chen, Tianxiang Hu, Yang Feng, Zuozhu Liu:
Learnable Privacy Neurons Localization in Language Models. CoRR abs/2405.10989 (2024) - [i37]Hanjun Luo, Ziye Deng, Ruizhe Chen, Zuozhu Liu:
FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models. CoRR abs/2405.17814 (2024) - [i36]Zhaopeng Feng, Ruizhe Chen, Yan Zhang, Zijie Meng, Zuozhu Liu:
Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level. CoRR abs/2406.15741 (2024) - [i35]Jiabao Pan, Yan Zhang, Chen Zhang, Zuozhu Liu, Hongwei Wang, Haizhou Li:
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models. CoRR abs/2407.01009 (2024) - [i34]Zhiting Fan, Ruizhe Chen, Ruiling Xu, Zuozhu Liu:
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs. CoRR abs/2407.10241 (2024) - [i33]Hanjun Luo, Haoyu Huang, Ziye Deng, Xuecheng Liu, Ruizhe Chen, Zuozhu Liu:
BIGbench: A Unified Benchmark for Social Bias in Text-to-Image Generative Models Based on Multi-modal LLM. CoRR abs/2407.15240 (2024) - [i32]Hanjun Luo, Ziye Deng, Haoyu Huang, Xuecheng Liu, Ruizhe Chen, Zuozhu Liu:
VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative Adversary. CoRR abs/2407.19524 (2024) - [i31]Zhaopeng Feng, Zijie Meng, Zuozhu Liu:
EC-Guide: A Comprehensive E-Commerce Guide for Instruction Tuning and Quantization. CoRR abs/2408.02970 (2024) - [i30]Ruizhe Chen, Yichen Li, Jianfei Yang, Joey Tianyi Zhou, Zuozhu Liu:
Editable Fairness: Fine-Grained Bias Mitigation in Language Models. CoRR abs/2408.11843 (2024) - [i29]Jiao Chen, Jiayi He, Fangfang Chen, Zuohong Lv, Jianhua Tang, Weihua Li, Zuozhu Liu, Howard H. Yang, Guangjie Han:
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models. CoRR abs/2409.01207 (2024) - [i28]Hanjun Luo, Yingbin Jin, Xuecheng Liu, Tong Shang, Ruizhe Chen, Zuozhu Liu:
GEIC: Universal and Multilingual Named Entity Recognition with Large Language Models. CoRR abs/2409.11022 (2024) - [i27]Ruizhe Chen, Xiaotian Zhang, Meng Luo, Wenhao Chai, Zuozhu Liu:
PAD: Personalized Alignment at Decoding-Time. CoRR abs/2410.04070 (2024) - 2023
- [j7]Yinghao Chu, Daquan Feng, Zuozhu Liu, Lei Zhang, Zizhou Zhao, Zhenzhong Wang, Zhiyong Feng, Xiang-Gen Xia:
A Fine-Grained Attention Model for High Accuracy Operational Robot Guidance. IEEE Internet Things J. 10(2): 1066-1081 (2023) - [j6]Jiaxiang Liu, Jin Hao, Hangzheng Lin, Wei Pan, Jianfei Yang, Yang Feng, Gaoang Wang, Jin Li, Zuolin Jin, Zhihe Zhao, Zuozhu Liu:
Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction. Patterns 4(9): 100825 (2023) - [j5]Zuozhu Liu, Xiaoxuan He, Hualiang Wang, Huimin Xiong, Yan Zhang, Gaoang Wang, Jin Hao, Yang Feng, Fudong Zhu, Haoji Hu:
Hierarchical Self-Supervised Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans. IEEE Trans. Medical Imaging 42(2): 467-480 (2023) - [c27]Tingyu Xie, Qi Li, Jian Zhang, Yan Zhang, Zuozhu Liu, Hongwei Wang:
Empirical Study of Zero-Shot NER with ChatGPT. EMNLP 2023: 7935-7956 - [c26]Yan Zhang, Zhaopeng Feng, Zhiyang Teng, Zuozhu Liu, Haizhou Li:
How Well Do Text Embedding Models Understand Syntax? EMNLP (Findings) 2023: 9717-9728 - [c25]Jianhong Bai, Zuozhu Liu, Hualiang Wang, Jin Hao, Yang Feng, Huanpeng Chu, Haoji Hu:
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. ICLR 2023 - [c24]Jiaxiang Liu, Tianxiang Hu, Yang Feng, Wanghui Ding, Zuozhu Liu:
Toothsegnet: Image Degradation Meets Tooth Segmentation in CBCT Images. ISBI 2023: 1-5 - [c23]Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Haochao Ying, Jian Wu, Zuozhu Liu:
TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer. MICCAI (6) 2023: 421-432 - [c22]Ruizhe Chen, Jianfei Yang, Yang Feng, Jin Hao, Zuozhu Liu:
Model Adaptive Tooth Segmentation. MIDL 2023: 775-798 - [c21]Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu:
Towards Distribution-Agnostic Generalized Category Discovery. NeurIPS 2023 - [c20]Ruizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu:
Fast Model DeBias with Machine Unlearning. NeurIPS 2023 - [c19]Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard H. Yang, Zuozhu Liu:
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer. NeurIPS 2023 - [i26]Shenghao Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, Gaoang Wang:
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes. CoRR abs/2302.07676 (2023) - [i25]Jianhong Bai, Zuozhu Liu, Hualiang Wang, Jin Hao, Yang Feng, Huanpeng Chu, Haoji Hu:
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. CoRR abs/2306.04934 (2023) - [i24]Jiaxiang Liu, Tianxiang Hu, Yang Feng, Wanghui Ding, Zuozhu Liu:
ToothSegNet: Image Degradation meets Tooth Segmentation in CBCT Images. CoRR abs/2307.01979 (2023) - [i23]Jiaxiang Liu, Tianxiang Hu, Yan Zhang, Xiaotang Gai, Yang Feng, Zuozhu Liu:
A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis. CoRR abs/2307.01981 (2023) - [i22]Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu:
Towards Distribution-Agnostic Generalized Category Discovery. CoRR abs/2310.01376 (2023) - [i21]Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu:
Robustness-Guided Image Synthesis for Data-Free Quantization. CoRR abs/2310.03661 (2023) - [i20]Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard Hao Yang, Zuozhu Liu:
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer. CoRR abs/2310.07587 (2023) - [i19]Tingyu Xie, Qi Li, Jian Zhang, Yan Zhang, Zuozhu Liu, Hongwei Wang:
Empirical Study of Zero-Shot NER with ChatGPT. CoRR abs/2310.10035 (2023) - [i18]Ruizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu:
Fast Model Debias with Machine Unlearning. CoRR abs/2310.12560 (2023) - [i17]Yan Zhang, Zhaopeng Feng, Zhiyang Teng, Zuozhu Liu, Haizhou Li:
How Well Do Text Embedding Models Understand Syntax? CoRR abs/2311.07996 (2023) - [i16]Tingyu Xie, Qi Li, Yan Zhang, Zuozhu Liu, Hongwei Wang:
Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models. CoRR abs/2311.08921 (2023) - [i15]Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Haochao Ying, Jian Wu, Zuozhu Liu:
TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer. CoRR abs/2311.13234 (2023) - 2022
- [j4]Yinghao Chu, Daquan Feng, Zuozhu Liu, Zizhou Zhao, Zhenzhong Wang, Xiang-Gen Xia, Tony Q. S. Quek:
Hybrid-Learning-Based Operational Visual Quality Inspection for Edge-Computing-Enabled IoT System. IEEE Internet Things J. 9(7): 4958-4972 (2022) - [j3]Lize Wu, Ziwei Xue, Siqian Jin, Jinchun Zhang, Yixin Guo, Yadan Bai, Xuexiao Jin, Chaochen Wang, Lie Wang, Zuozhu Liu, James Q. Wang, Linrong Lu, Wanlu Liu:
huARdb: human Antigen Receptor database for interactive clonotype-transcriptome analysis at the single-cell level. Nucleic Acids Res. 50(D1): 1244-1254 (2022) - [c18]Hualiang Wang, Huanpeng Chu, Siming Fu, Zuozhu Liu, Haoji Hu:
Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation. AAAI 2022: 2450-2458 - [c17]Hao Chen, Yuhao Ge, Jiahao Wei, Huimin Xiong, Zuozhu Liu:
Tooth Defect Segmentation in 3D Mesh Scans Using Deep Learning. CICAI (3) 2022: 180-191 - [c16]Hualiang Wang, Siming Fu, Xiaoxuan He, Hangxiang Fang, Zuozhu Liu, Haoji Hu:
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning. ECCV (24) 2022: 179-196 - [c15]Yiming Chen, Yan Zhang, Bin Wang, Zuozhu Liu, Haizhou Li:
Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework. EMNLP 2022: 8150-8161 - [c14]Howard H. Yang, Zuozhu Liu, Yaru Fu, Tony Q. S. Quek, H. Vincent Poor:
Federated Stochastic Gradient Descent Begets Self-Induced Momentum. ICASSP 2022: 9027-9031 - [c13]Bingqiang Liu, Ziyuan Wen, Hongling Zhu, Jinsheng Lai, Jiajun Wu, Heng Ping, Wenqing Liu, Guoyi Yu, Jianmin Zhang, Zuozhu Liu, Hesong Zeng, Chao Wang:
Energy-Efficient Intelligent Pulmonary Auscultation for Post COVID-19 Era Wearable Monitoring Enabled by Two-Stage Hybrid Neural Network. ISCAS 2022: 2220-2224 - [c12]Siqi Shu, Zhengqi Chen, Zhe Yu, Shaosheng Cao, Guobin Wu, Donghai Shi, Gaoang Wang, Zuozhu Liu, Xiqun Chen, Xiaoxiang Na, Chao Wu, Simon Hu:
Modeling Freight-Sharing Platform Operations for Optimal Compensation Strategy Using Markov Decision Processes. ITSC 2022: 1006-1011 - [c11]Xiaoxuan He, Hualiang Wang, Haoji Hu, Jianfei Yang, Yang Feng, Gaoang Wang, Zuozhu Liu:
Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans. MIDL 2022: 493-507 - [i14]Howard H. Yang, Zuozhu Liu, Yaru Fu, Tony Q. S. Quek, H. Vincent Poor:
Federated Stochastic Gradient Descent Begets Self-Induced Momentum. CoRR abs/2202.08402 (2022) - [i13]Jin Hao, Jiaxiang Liu, Jin Li, Wei Pan, Ruizhe Chen, Huimin Xiong, Kaiwei Sun, Hangzheng Lin, Wanlu Liu, Wanghui Ding, Jianfei Yang, Haoji Hu, Yueling Zhang, Yang Feng, Zeyu Zhao, Huikai Wu, Youyi Zheng, Bing Fang, Zuozhu Liu, Zhihe Zhao:
AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications. CoRR abs/2203.05784 (2022) - [i12]Zihan Chen, Songshang Liu, Hualiang Wang, Howard H. Yang, Tony Q. S. Quek, Zuozhu Liu:
Towards Federated Long-Tailed Learning. CoRR abs/2206.14988 (2022) - [i11]Hualiang Wang, Siming Fu, Xiaoxuan He, Hangxiang Fang, Zuozhu Liu, Haoji Hu:
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning. CoRR abs/2208.10043 (2022) - [i10]Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Zuozhu Liu:
TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer. CoRR abs/2210.16627 (2022) - [i9]Yiming Chen, Yan Zhang, Bin Wang, Zuozhu Liu, Haizhou Li:
Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework. CoRR abs/2210.16798 (2022) - 2021
- [c10]Yan Zhang, Ruidan He, Zuozhu Liu, Lidong Bing, Haizhou Li:
Bootstrapped Unsupervised Sentence Representation Learning. ACL/IJCNLP (1) 2021: 5168-5180 - [c9]Gaoang Wang, Renshu Gu, Zuozhu Liu, Weijie Hu, Mingli Song, Jenq-Neng Hwang:
Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking. ICCV 2021: 9856-9866 - [i8]Gaoang Wang, Renshu Gu, Zuozhu Liu, Weijie Hu, Mingli Song, Jenq-Neng Hwang:
Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking. CoRR abs/2108.06029 (2021) - 2020
- [j2]Howard H. Yang, Zuozhu Liu, Tony Q. S. Quek, H. Vincent Poor:
Scheduling Policies for Federated Learning in Wireless Networks. IEEE Trans. Commun. 68(1): 317-333 (2020) - [c8]Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin:
Biologically Plausible Sequence Learning with Spiking Neural Networks. AAAI 2020: 1316-1323 - [c7]Jiajun Wu, Xuan Huang, Le Yang, Liang Wang, Jipeng Wang, Zuozhu Liu, Kwen-Siong Chong, Shaowei Lin, Chao Wang:
An Energy-efficient Multi-core Restricted Boltzmann Machine Processor with On-chip Bio-plausible Learning and Reconfigurable Sparsity. A-SSCC 2020: 1-4 - [c6]Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing:
An Unsupervised Sentence Embedding Method by Mutual Information Maximization. EMNLP (1) 2020: 1601-1610 - [c5]Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing:
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. EMNLP (1) 2020: 2162-2172 - [i7]Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing:
An Unsupervised Sentence Embedding Method byMutual Information Maximization. CoRR abs/2009.12061 (2020) - [i6]Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing:
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. CoRR abs/2010.04383 (2020)
2010 – 2019
- 2019
- [c4]Chenyuan Feng, Zuozhu Liu, Shaowei Lin, Tony Q. S. Quek:
Attention-based Graph Convolutional Network for Recommendation System. ICASSP 2019: 7560-7564 - [i5]Howard H. Yang, Zuozhu Liu, Tony Q. S. Quek, H. Vincent Poor:
Scheduling Policies for Federated Learning in Wireless Networks. CoRR abs/1908.06287 (2019) - [i4]Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin:
Biologically Plausible Sequence Learning with Spiking Neural Networks. CoRR abs/1911.10943 (2019) - 2018
- [c3]Zuozhu Liu, Tony Q. S. Quek, Shaowei Lin:
Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. AAAI 2018: 3698-3705 - 2017
- [j1]Zuozhu Liu, Wenyu Zhang, Shaowei Lin, Tony Q. S. Quek:
Heterogeneous Sensor Data Fusion By Deep Multimodal Encoding. IEEE J. Sel. Top. Signal Process. 11(3): 479-491 (2017) - [c2]Zuozhu Liu, Wenyu Zhang, Tony Q. S. Quek, Shaowei Lin:
Deep fusion of heterogeneous sensor data. ICASSP 2017: 5965-5969 - [i3]Mohammad Emtiyaz Khan, Wu Lin, Voot Tangkaratt, Zuozhu Liu, Didrik Nielsen:
Variational Adaptive-Newton Method for Explorative Learning. CoRR abs/1711.05560 (2017) - [i2]Zuozhu Liu, Tony Q. S. Quek, Shaowei Lin:
Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. CoRR abs/1711.07732 (2017) - [i1]Mohammad Emtiyaz Khan, Zuozhu Liu, Voot Tangkaratt, Yarin Gal:
Vprop: Variational Inference using RMSprop. CoRR abs/1712.01038 (2017) - 2015
- [c1]Salvador Aguiñaga, Aditya Nambiar, Zuozhu Liu, Tim Weninger:
Concept hierarchies and human navigation. IEEE BigData 2015: 38-45
Coauthor Index
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