Zhuang Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
76
Venues
36
Active years
2016–2026
Best venue rank
A*
Where they publish
- A*CVPR9 papers
- A*ICLR9 papers
- A*ICCV6 papers
- A*ICML5 papers
- CIECON4 papers
- BIJCNN3 papers
- CKSEM3 papers
- BIWCMC3 papers
- A*ACL2 papers
- AIROS2 papers
- ACIKM2 papers
- A*SP2 papers
- A*EMNLP2 papers
- CIGARSS2 papers
- A*WWW1 paper
- A*ICDE1 paper
- AMSR1 paper
- ANAACL1 paper
- BPPoPP1 paper
- ASANER1 paper
- BGLOBECOM1 paper
- CINDIN1 paper
- A*CCS1 paper
- AICDAR1 paper
- A*AAAI1 paper
- BPRICAI1 paper
- CUIC1 paper
- ADSN1 paper
- BWCNC1 paper
- AECAI1 paper
- BICCCN1 paper
- A*IJCAI1 paper
- NationalISKE1 paper
- CNLDB1 paper
- A*ECCV1 paper
- BICPR1 paper
Papers
76 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations. | Yuhe Wu, Guangyu Wang, Yuran Chen, Jiatong Zhang, Yutong Zhang, Yujie Chen, Jiaming Shang, Guang Zhang, Zhuang Liu |
| 2026 | WWW | CogAgent: Self-Evolving Cognitive Agents for Multi-Source Fraud Detection in Heterogeneous Financial Networks. | Qianyu Wang, Weiyou Tian, Rong Wang, Wei-Tek Tsai, Tianyu Shi, Zhuang Liu, Tianze Xia |
| 2025 | CVPR | Transformers without Normalization. | Jiachen Zhu, Xinlei Chen, Kaiming He, Yann LeCun, Zhuang Liu |
| 2025 | ICCV | Scaling Language-Free Visual Representation Learning. | David Fan, Shengbang Tong, Jiachen Zhu, Koustuv Sinha, Zhuang Liu, Xinlei Chen, Michael Rabbat, Nicolas Ballas, Yann LeCun, Amir Bar, Saining Xie |
| 2025 | ICCV | MetaMorph: Multimodal Understanding and Generation via Instruction Tuning. | Shengbang Tong, David Fan, Jiachen Zhu, Yunyang Xiong, Xinlei Chen, Koustuv Sinha, Michael Rabbat, Yann LeCun, Saining Xie, Zhuang Liu |
| 2025 | ICDE | Catch Me If You Can: A Multi-Agent Synthetic Fraud Detection Framework for Complex Networks. | Qianyu Wang, Wei-Tek Tsai, Tianyu Shi, Zhuang Liu, Bowen Du |
| 2025 | ICLR | A Decade's Battle on Dataset Bias: Are We There Yet? | Zhuang Liu, Kaiming He |
| 2025 | ICLR | Deconstructing Denoising Diffusion Models for Self-Supervised Learning. | Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He |
| 2025 | ICLR | A Coefficient Makes SVRG Effective. | Yida Yin, Zhiqiu Xu, Zhiyuan Li, Trevor Darrell, Zhuang Liu |
| 2025 | ICML | LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. | Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra |
| 2025 | ICML | Idiosyncrasies in Large Language Models. | Mingjie Sun, Yida Yin, Zhiqiu Xu, J. Zico Kolter, Zhuang Liu |
| 2025 | IROS | PACR: Point-Axis Constraint Reasoning for Enhanced Robotic Manipulation with Dexterity and Compliance. | Haowen Xiong, Yao Mu, Zhuang Liu, Yusi Fan, Yi Huang, Jianxing Liu |
| 2025 | IECON | A non-singular predefined-time sliding mode tracking control for PMSM Servo System. | Ruiqi Xu, Zhuang Liu, Xinpo Lin, Shun Cai, Qiaoman Zhu, Jianxing Liu |
| 2025 | MSR | From Industrial Practices to Academia: Uncovering the Gap in Vulnerability Research and Practice. | Zhuang Liu, Xing Hu, Jiayuan Zhou, Xin Xia |
| 2025 | NAACL | Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference. | Zeping Li, Xinlong Yang, Ziheng Gao, Ji Liu, Guanchen Li, Zhuang Liu, Dong Li, Jinzhang Peng, Lu Tian, Emad Barsoum |
| 2025 | PPoPP | An AI-Enhanced 1km-Resolution Seamless Global Weather and Climate Model to Achieve Year-Scale Simulation Speed using 34 Million Cores. | Xiaohui Duan, Yi Zhang, Kai Xu, Haohuan Fu, Bin Yang, Yiming Wang, Yilun Han, Siyuan Chen, Zhuangzhuang Zhou, Chenyu Wang, Dongqiang Huang, Huihai An, Xiting Ju, Haopeng Huang, Zhuang Liu, Wei Xue, Weiguo Liu, Bowen Yan, Jianye Hou, Maoxue Yu, Wenguang Chen, Jian Li, Zhao Jing, Hailong Liu, Lixin Wu |
| 2025 | SANER | Tracets4J: A Traceable Unit Test Generation Dataset. | Xuancheng Jin, Zhuang Liu, Junwei Zhang, Xing Hu, Xin Xia |
| 2024 | CVPR | Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. | Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie |
| 2024 | GLOBECOM | Toward 6G technology: Intent-Driven Autonomous Intelligent Wireless Communication Network. | Jiajun Chen, Yin Gao, Yansheng Liu, Dapeng Li, Wei Xingguang, Zhuang Liu |
| 2024 | ICLR | A Simple and Effective Pruning Approach for Large Language Models. | Mingjie Sun, Zhuang Liu, Anna Bair, J. Zico Kolter |
| 2024 | ICLR | Initializing Models with Larger Ones. | Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu |
| 2024 | ICML | ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy. | Kirill Vishniakov, Zhiqiang Shen, Zhuang Liu |
| 2024 | IJCNN | SACL: Siamese Adaptive Contrastive Learning for Recommendation. | Shikang Bao, Zhuang Liu, Chen Li, Jianfei Zhang, Guanming Chen, Yuanxin Ouyang, Wenge Rong |
| 2024 | INDIN | Neural Network-Based Terminal Sliding Mode Control for Insulator Cleaning Robots. | Jie Jin, Xiaoning Shen, Qiaoman Zhu, Weiliang Chen, Zhuang Liu, Jianxing Liu |
| 2023 | CCS | SyzDirect: Directed Greybox Fuzzing for Linux Kernel. | Xin Tan, Yuan Zhang, Jiadong Lu, Xin Xiong, Zhuang Liu, Min Yang |
| 2023 | CIKM | PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering. | Zhuang Liu, Haoxuan Li, Guanming Chen, Yuanxin Ouyang, Wenge Rong, Zhang Xiong |
| 2023 | CVPR | ImageBind One Embedding Space to Bind Them All. | Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra |
| 2023 | CVPR | ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders. | Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie |
| 2023 | ICDAR | Semantic Graph Representation Learning for Handwritten Mathematical Expression Recognition. | Zhuang Liu, Ye Yuan, Zhilong Ji, Jinfeng Bai, Xiang Bai |
| 2023 | ICML | Dropout Reduces Underfitting. | Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell |
| 2023 | IJCNN | CCH-YOLOX: Improved YOLOX for Challenging Vehicle Detection from UAV Images. | Zhuang Liu, Song Qiu, Mingsong Chen, Dingding Han, Tiantian Qi, Qingli Li, Yue Lu |
| 2023 | IECON | A Novel Fast Fixed-Time Control for Robotic Manipulator Based on Disturbance Observer. | Weiliang Chen, Yichen Niu, Ouyang Zhang, Zhuang Liu, Jianxing Liu |
| 2023 | KSEM | Multi-level and Multi-interest User Interest Modeling for News Recommendation. | Yun Hou, Yuanxin Ouyang, Zhuang Liu, Fujing Han, Wenge Rong, Zhang Xiong |
| 2023 | KSEM | Debiased Contrastive Loss for Collaborative Filtering. | Zhuang Liu, Yunpu Ma, Haoxuan Li, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong |
| 2023 | KSEM | Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs. | Siyuan Zhang, Yuanxin Ouyang, Zhuang Liu, Weijie He, Wenge Rong, Zhang Xiong |
| 2023 | SP | AEM: Facilitating Cross-Version Exploitability Assessment of Linux Kernel Vulnerabilities. | Zheyue Jiang, Yuan Zhang, Jun Xu, Xinqian Sun, Zhuang Liu, Min Yang |
| 2023 | SP | AEM: Facilitating Cross-Version Exploitability Assessment of Linux Kernel Vulnerabilities. | Zheyue Jiang, Yuan Zhang, Jun Xu, Xinqian Sun, Zhuang Liu, Min Yang |
| 2022 | AAAI | Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning. | Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Poe Xing |
| 2022 | CVPR | A ConvNet for the 2020s. | Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie |
| 2022 | CVPR | Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space. | Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric P. Xing |
| 2022 | ICLR | Anytime Dense Prediction with Confidence Adaptivity. | Zhuang Liu, Zhiqiu Xu, Hung-Ju Wang, Trevor Darrell, Evan Shelhamer |
| 2022 | IROS | Lumen Shape Reconstruction using a Soft Robotic Balloon Catheter and Electrical Impedance Tomography. | James Avery, Mark Runciman, Cristina Fiani, Elena Monfort Sanchez, Saina Akhond, Zhuang Liu, Kirill Y. Aristovich, George P. Mylonas |
| 2022 | IWCMC | Machine Learning enabled Wireless Communication Network System. | Jiajun Chen, Yin Gao, Yingjun Zhou, Zhuang Liu, Dapeng Li, Man Zhang |
| 2022 | IWCMC | Blockchain for 5G Advanced Wireless Networks. | Yingjun Zhou, Yin Gao, Jiajun Chen, Dapeng Li, Zhuang Liu, Yiran Wei, Zijiang Ma |
| 2022 | PRICAI | A Vehicle Re-ID Algorithm Based on Channel Correlation Self-attention and Lstm Local Information Loss. | Tiantian Qi, Song Qiu, Li Sun, Zhuang Liu, Mingsong Chen, Yue Lyu |
| 2022 | UIC | Reinforcement Learning-Based Explainable Recommendation over Knowledge Graphs with Negative Sampling. | Siyuan Zhang, Yuanxin Ouyang, Zhuang Liu, Wenge Rong, Zhang Xiong |
| 2021 | ACL | Enhancing Chinese Word Segmentation via Pseudo Labels for Practicability. | Kaiyu Huang, Junpeng Liu, Degen Huang, Deyi Xiong, Zhuang Liu, Jinsong Su |
| 2021 | DSN | Insight into traffic security: A correlation discovery of urban spatial features and traffic flow patterns. | Juhua Pu, Zhuang Liu, Yue Wang, Xingwu Liu |
| 2021 | ICCV | Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning. | Yinbo Chen, Zhuang Liu, Huijuan Xu, Trevor Darrell, Xiaolong Wang |
| 2021 | ICLR | Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control. | Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell |
| 2021 | IJCNN | Multi-Task Deep Neural Networks for Multi-Document Reading Comprehension. | Chang Liu, Zhuang Liu, Wayne Lin, Jun Zhao |
| 2021 | WCNC | Deep Learning based Location Prediction with Multiple Features in Communication Network. | Yin Gao, Jiajun Chen, Zhuang Liu, Liang Liu, Nan Hu |
| 2020 | CIKM | Dual Head-wise Coattention Network for Machine Comprehension with Multiple-Choice Questions. | Zhuang Liu, Kaiyu Huang, Degen Huang, Zhuang Liu, Jun Zhao |
| 2020 | CVPR | MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. | John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun |
| 2020 | CVPR | Few Sample Knowledge Distillation for Efficient Network Compression. | Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang |
| 2020 | ECAI | Semantics-Reinforced Networks for Question Generation. | Zhuang Liu, Kaiyu Huang, Degen Huang, Jun Zhao |
| 2020 | EMNLP | A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation. | Kaiyu Huang, Degen Huang, Zhuang Liu, Fengran Mo |
| 2020 | ICCCN | Predict the Next Attack Location via An Attention-based Fused-SpatialTemporal LSTM. | Zhuang Liu, Juhua Pu, Nana Zhan, Xingwu Liu |
| 2020 | ICML | Test-Time Training with Self-Supervision for Generalization under Distribution Shifts. | Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt |
| 2020 | IGARSS | Soil Moisture Retrieval Only Using Smap L-Band Radar Observations. | Panpan Yao, Hui Lu, Wenli Wang, Changkun Shao, Kun Yang, Daniel Short Gianotti, Zhuang Liu, Xiaomeng Huang, Dara Entekhabi |
| 2020 | IJCAI | FinBERT: A Pre-trained Financial Language Representation Model for Financial Text Mining. | Zhuang Liu, Degen Huang, Kaiyu Huang, Zhuang Li, Jun Zhao |
| 2020 | IGARSS | Identifying Terrestrial Vegetation-Soil Moisture Oscillation from Satellite Observations. | Qing He, Siyu Yue, Hui Lu, Zhuang Liu, Xiaomeng Huang, Dara Entekhabi |
| 2020 | IWCMC | Machine Learning based Energy Saving Scheme in Wireless Access Networks. | Yin Gao, Jiajun Chen, Zhuang Liu, Bo Zhang, Yazhu Ke, Ruiqi Liu |
| 2019 | ICCV | Few-Shot Object Detection via Feature Reweighting. | Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell |
| 2019 | ICLR | Rethinking the Value of Network Pruning. | Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell |
| 2019 | ISKE | Knowledge-Aware LSTM for Machine Comprehension. | Zhuang Liu, Kaiyu Huang, Ziyu Gao, Degen Huang |
| 2018 | IECON | Based on Virtual Generator Energy Router AC-DC Coordination Control. | Chao Wang, Xuemei Zheng, Zhuang Liu, Yangman Li, Yidan Liu |
| 2018 | IECON | Sliding Mode combined VSG Control to Microgrid Inverters. | Xuemei Zheng, Yidan Liu, Songnan Pang, Zhuang Liu, Yangman Li, Chao Wang |
| 2017 | CVPR | Densely Connected Convolutional Networks. | Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger |
| 2017 | ICCV | Learning Efficient Convolutional Networks through Network Slimming. | Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang |
| 2017 | ICCV | DSOD: Learning Deeply Supervised Object Detectors from Scratch. | Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue |
| 2017 | ICLR | Snapshot Ensembles: Train 1, Get M for Free. | Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger |
| 2017 | NLDB | A Hierarchical Iterative Attention Model for Machine Comprehension. | Zhuang Liu, Degen Huang, Yunxia Zhang, Chuan Zhang |
| 2016 | ECCV | Deep Networks with Stochastic Depth. | Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger |
| 2016 | EMNLP | Research on attention memory networks as a model for learning natural language inference. | Zhuang Liu, Degen Huang, Jing Zhang, Kaiyu Huang |
| 2016 | ICPR | Two streams Recurrent Neural Networks for Large-Scale Continuous Gesture Recognition. | Xiujuan Chai, Zhipeng Liu, Fang Yin, Zhuang Liu, Xilin Chen |