Xu Zhengzhuo (许正卓)

Ph.D, Tsinghua University.

[ Google Scholar] [ Github] [Email: xzzthu@gmail.com ]

I am a CS Ph.D student at SIGS, Tsinghua University, under the supervision of Prof. Yuan Chun. Before that, I received the Bachelor degree of Electrical Engineering from Qiming College, EIC, Hua Zhong University of Science and Technology.

Research Interests

Long-tailed Visual Recognition.
Multi-modality Learning.
Parameter Efficient Fine Tuning.

Research Intern

[2022.11 - 2023.08] IDEA supervised by Dr. Jian Guo (Multi-modality LLMs), working closely with Dr. Yiyan Qi and Dr. Chengjin Xu.
[2022.11 - 2023.08] IDEA supervised by Dr. Haiqin Yang and focus on Long-Tailed Recognition and Multi-modality Learning.
[2021.07 - 2022.07] Tencent AI lab supervised by Dr. Linchao Bao and focus on 3D Face Reconstruction and Style Transfer.
[2019.12 - 2020.06] Ping An Life supervised by Dr. Haiqin Yang and focus on Data Mining.

Publications

Towards Effective Collaborative Learning in Long-Tailed Recognition
Zhengzhuo Xu, Zenghao Chai, Chengyin Xu, Chun Yuan, Haiqin Yang
IEEE Transactions on Multimedia (TMM), Aug 2023.
Accurate 3D Face Reconstruction with Facial Component Tokens
Tianke Zhang, Xuangeng Chu, Yunfei Liu, Lijian Lin, Zhendong Yang, Chengkun Cao, Zhengzhuo Xu, Fei Yu, Changyin Zhou, Chun Yuan, Yu Li
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2023.
Learning Imbalanced Data with Vision Transformers
Zhengzhuo Xu, Ruikang Liu, Shuo Yang, Zenghao Chai, Chun Yuan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023.
Rethink Long-tailed Recognition with Vision Transformers
Zhengzhuo Xu, Shuo Yang, Xingjun Wang, Chun Yuan
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 2023.
A Lightweight Approach for Network Intrusion Detection based on Self-Knowledge Distillation
Shuo Yang, Xinran Zheng, Zhengzhuo Xu, Xingjun Wang
Proceedings of the IEEE International Conference on Communications (ICC), May 2023.
HHF: Hashing-guided Hinge Function for Deep Hashing Retrieval
Chengyin Xu*, Zhengzhuo Xu*, Zenghao Chai*, Hongjia Li, Qiruyi Zuo, Lingyu Yang, Chun Yuan
IEEE Transactions on Multimedia (TMM), Nov 2022.
HyP2 Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval
Chengyin Xu, Zenghao Chai, Zhengzhuo Xu, Chun Yuan, Yanbo Fan, Jue Wang
Proceedings of ACM International Conference on Multimedia (ACM MM), Oct 2022.
REALY: Rethinking the Evaluation of 3D Face Reconstruction
Zenghao Chai, Haoxian Zhang, Jing Ren, Di Kang, Zhengzhuo Xu, Xuefei Zhe, Chun Yuan, Linchao Bao
Proceedings of the European Conference on Computer Vision (ECCV), July 2022.
Semantic-Sparse Colorization Network for Deep Exemplar-based Colorization
Yunpeng Bai, Chao Dong, Zenghao Chai, Andong Wang, Zhengzhuo Xu, Chun Yuan
Proceedings of the European Conference on Computer Vision (ECCV), July 2022.
CMS-LSTM: Context Embedding and Multi-Scale Spatiotemporal Expression LSTM for Predictive Learning
Zenghao Chai, Zhengzhuo Xu, Yunpeng Bai, Zhihui Lin, Chun Yuan
Proceedings of IEEE International Conference on Multimedia and Expo (ICME), July 2022.
MoDeRNN: Towards Fine-grained Motion Details for Spatiotemporal Predictive Learning
Zenghao Chai, Zhengzhuo Xu, Chun Yuan
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 2022.
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
Zhengzhuo Xu*, Zenghao Chai*, Chun Yuan
Proceedings of the Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS), Nov 2021.
Backscatter-assisted Hybrid Relaying Strategy for Wireless Powered IoT Communications
Yutong Xie, Zhengzhuo Xu, Shimin Gong, Jing Xu, Dinh Thai Hoang, Dusit Niyato
Proceedings of the IEEE Global Communications Conference (Globalcom), Dec 2019.
Backscatter-assisted Computation Offloading for Energy Harvesting IoT Devices via Policy-based Deep Reinforcement Learning
Yutong Xie, Zhengzhuo Xu, Yuxing Zhong, Jing Xu, Shimin Gong, Yi Wang
Proceedings of the IEEE/CIC International Conference on Communications in China (ICCC) Workshops, Aug 2019.
Backscatter-aided Hybrid Data Offloading for Mobile Edge Computing via Deep Reinforcement Learning
Yutong Xie, Zhengzhuo Xu, Jing Xu, Shimin Gong, Yi Wang
Proceedings of the International Conference on Machine Learning and Intelligent Communications (MLICOM), Aug 2019.

Patents

A Method for Long-tailed Image Recognition.
Haiqin Yang, Zhengzhuo Xu, Baogang Yao. Invention patent, CN116152612A.
Retrieval Method, Device and Equipment and Computer Readable Storage Medium.
Chengyin Xu, Zenghao Chai, Zhengzhuo Xu, Yanbo Fan. Invention patent, CN115146143A.
A Lightweight Fine-grained Spatiotemporal Predictive Method and System.
Chun Yuan, Zenghao Chai, Zhengzhuo Xu. Invention patent, CN114445463A.
A Method for Obtaining Interpretability Parameters of Deep Learning Models.
Zhengzhuo Xu, Haiqin Yang. Invention patent, CN112052957A.

Awards

University-level second-class scholarship (Tsinghua, WuHanYingCai), 2023, TOP 5%.
University-level second-class scholarship (Tsinghua, JiuJiangYingCai), 2021, TOP 5%.
Outstanding Graduate of Hua Zhong University of Science and Technology, 2020, TOP 5%.
Collegiate Computing ContestMobile Application Innovation Contest 2019, second class prize in the FINAL.
Excellent Students of QiMing College, 2018, the best honor of Hua Zhong University of Science and Technology.
HaiHang Group Scholarship, 2018, TOP 1%.
First Class Scholarship of Hua Zhong University of Science and Technology, 2016, 2017, 2019, TOP 30%.

Academic Services

Conference Reviewer: NeurIPS 2023, ACM 2023.
Journal Reviewer:
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)