Zhengzhuo Xu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Reinforcement Learning

Approximate Nearest Neighbor

Visual Recognition

Top Venues

IEEE Trans. Multim.

Publications

Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. CoRR (2024)
Zhengzhuo Xu, Zenghao Chai, Chengyin Xu, Chun Yuan, Haiqin Yang
Towards Effective Collaborative Learning in Long-Tailed Recognition. IEEE Trans. Multim. 26 (2024)
Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. ACL (Findings) (2024)
Tianke Zhang, Xuangeng Chu, Yunfei Liu, Lijian Lin, Zhendong Yang, Zhengzhuo Xu, Chengkun Cao, Fei Yu, Changyin Zhou, Chun Yuan, Yu Li
Accurate 3D Face Reconstruction with Facial Component Tokens. ICCV (2023)
Zhengzhuo Xu, Sinan Du, Yiyan Qi, Chengjin Xu, Chun Yuan, Jian Guo
ChartBench: A Benchmark for Complex Visual Reasoning in Charts. CoRR (2023)
Zhengzhuo Xu, Zenghao Chai, Chengyin Xu, Chun Yuan, Haiqin Yang
Towards Effective Collaborative Learning in Long-Tailed Recognition. CoRR (2023)
Zhengzhuo Xu, Ruikang Liu, Shuo Yang, Zenghao Chai, Chun Yuan
Learning Imbalanced Data with Vision Transformers. CVPR (2023)
Zhengzhuo Xu, Shuo Yang, Xingjun Wang, Chun Yuan
Rethink Long-tailed Recognition with Vision Transforms. CoRR (2023)
Zhengzhuo Xu, Shuo Yang, Xingjun Wang, Chun Yuan
Rethink Long-Tailed Recognition with Vision Transforms. ICASSP (2023)
Shuo Yang, Xinran Zheng, Zhengzhuo Xu, Xingjun Wang
A Lightweight Approach for Network Intrusion Detection based on Self-Knowledge Distillation. CoRR (2023)
Shuo Yang, Xinran Zheng, Zhengzhuo Xu, Xingjun Wang
A Lightweight Approach for Network Intrusion Detection Based on Self-Knowledge Distillation. ICC (2023)
Chengyin Xu, Zenghao Chai, Zhengzhuo Xu, Hongjia Li, Qiruyi Zuo, Lingyu Yang, Chun Yuan
HHF: Hashing-Guided Hinge Function for Deep Hashing Retrieval. IEEE Trans. Multim. 25 (2023)
Chengyin Xu, Zenghao Chai, Zhengzhuo Xu, Chun Yuan, Yanbo Fan, Jue Wang
Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval. CoRR (2022)
Yunpeng Bai, Chao Dong, Zenghao Chai, Andong Wang, Zhengzhuo Xu, Chun Yuan
Semantic-Sparse Colorization Network for Deep Exemplar-Based Colorization. ECCV (6) (2022)
Chengyin Xu, Zenghao Chai, Zhengzhuo Xu, Chun Yuan, Yanbo Fan, Jue Wang
Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval. ACM Multimedia (2022)
Zenghao Chai, Haoxian Zhang, Jing Ren, Di Kang, Zhengzhuo Xu, Xuefei Zhe, Chun Yuan, Linchao Bao
REALY: Rethinking the Evaluation of 3D Face Reconstruction. ECCV (8) (2022)
Zhengzhuo Xu, Ruikang Liu, Shuo Yang, Zenghao Chai, Chun Yuan
Learning Imbalanced Data with Vision Transformers. CoRR (2022)
Zenghao Chai, Haoxian Zhang, Jing Ren, Di Kang, Zhengzhuo Xu, Xuefei Zhe, Chun Yuan, Linchao Bao
REALY: Rethinking the Evaluation of 3D Face Reconstruction. CoRR (2022)
Zenghao Chai, Zhengzhuo Xu, Yunpeng Bai, Zhihui Lin, Chun Yuan
CMS-LSTM: Context Embedding and Multi-Scale Spatiotemporal Expression LSTM for Predictive Learning. ICME (2022)
Zenghao Chai, Zhengzhuo Xu, Chun Yuan
Modernn: Towards Fine-Grained Motion Details for Spatiotemporal Predictive Learning. ICASSP (2022)
Chengyin Xu, Zhengzhuo Xu, Zenghao Chai, Hongjia Li, Qiruyi Zuo, Lingyu Yang, Chun Yuan
HHF: Hashing-guided Hinge Function for Deep Hashing Retrieval. CoRR (2021)
Zhengzhuo Xu, Zenghao Chai, Chun Yuan
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective. CoRR (2021)
Zenghao Chai, Zhengzhuo Xu, Chun Yuan
MoDeRNN: Towards Fine-grained Motion Details for Spatiotemporal Predictive Learning. CoRR (2021)
Zhengzhuo Xu, Zenghao Chai, Chun Yuan
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective. NeurIPS (2021)
Yunpeng Bai, Chao Dong, Zenghao Chai, Andong Wang, Zhengzhuo Xu, Chun Yuan
Semantic-Sparse Colorization Network for Deep Exemplar-based Colorization. CoRR (2021)
Yutong Xie, Zhengzhuo Xu, Shimin Gong, Jing Xu, Dinh Thai Hoang, Dusit Niyato
Backscatter-Assisted Hybrid Relaying Strategy for Wireless Powered IoT Communications. GLOBECOM (2019)
Yutong Xie, Zhengzhuo Xu, Jing Xu, Shimin Gong, Yi Wang
Backscatter-Aided Hybrid Data Offloading for Mobile Edge Computing via Deep Reinforcement Learning. MLICOM (2019)
Yutong Xie, Zhengzhuo Xu, Yuxing Zhong, Jing Xu, Shimin Gong, Yi Wang
Backscatter-Assisted Computation Offloading for Energy Harvesting IoT Devices via Policy-based Deep Reinforcement Learning. ICCC Workshops (2019)