Search Results for author: Zijian Gao

Found 15 papers, 1 papers with code

NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment

no code implementations22 May 2025 Shuhao Han, Haotian Fan, Fangyuan Kong, Wenjie Liao, Chunle Guo, Chongyi Li, Radu Timofte, Liang Li, Tao Li, Junhui Cui, Yunqiu Wang, Yang Tai, Jingwei Sun, Jianhui Sun, Xinli Yue, Tianyi Wang, Huan Hou, Junda Lu, Xinyang Huang, Zitang Zhou, Zijian Zhang, Xuhui Zheng, Xuecheng Wu, Chong Peng, Xuezhi Cao, Trong-Hieu Nguyen-Mau, Minh-Hoang Le, Minh-Khoa Le-Phan, Duy-Nam Ly, Hai-Dang Nguyen, Minh-Triet Tran, Yukang Lin, Yan Hong, Chuanbiao Song, Siyuan Li, Jun Lan, Zhichao Zhang, Xinyue Li, Wei Sun, ZiCheng Zhang, Yunhao Li, Xiaohong Liu, Guangtao Zhai, Zitong Xu, Huiyu Duan, Jiarui Wang, Guangji Ma, Liu Yang, Lu Liu, Qiang Hu, Xiongkuo Min, Zichuan Wang, Zhenchen Tang, Bo Peng, Jing Dong, Fengbin Guan, Zihao Yu, Yiting Lu, Wei Luo, Xin Li, Minhao Lin, Haofeng Chen, Xuanxuan He, Kele Xu, Qisheng Xu, Zijian Gao, Tianjiao Wan, Bo-Cheng Qiu, Chih-Chung Hsu, Chia-Ming Lee, Yu-Fan Lin, Bo Yu, Zehao Wang, Da Mu, Mingxiu Chen, Junkang Fang, Huamei Sun, Wending Zhao, Zhiyu Wang, Wang Liu, Weikang Yu, Puhong Duan, Bin Sun, Xudong Kang, Shutao Li, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Jiarong He, Zhishan Qiao, Yongqing Huang, Zewen Chen, Zhe Pang, Juan Wang, Jian Guo, Zhizhuo Shao, Ziyu Feng, Bing Li, Weiming Hu, Hesong Li, Dehua Liu, Zeming Liu, Qingsong Xie, Ruichen Wang, Zhihao LI, Yuqi Liang, Jianqi Bi, Jun Luo, Junfeng Yang, Can Li, Jing Fu, Hongwei Xu, Mingrui Long, Lulin Tang

A total of 211 participants have registered in the structure track.

Image Restoration Text to Image Generation +1

Hardware Architecture Design of Model-Based Image Reconstruction Towards Palm-size Photoacoustic Tomography

no code implementations12 Aug 2024 Yuwei Zheng, Zijian Gao, Yuting Shen, Jiadong Zhang, Daohuai Jiang, Fengyu Liu, Feng Gao, Fei Gao

We conducted experiments by FPGA implementation of the algorithm, using both phantoms and in vivo human finger data to verify the feasibility of the proposed method.

Image Reconstruction

Chemical Shift Encoding based Double Bonds Quantification in Triglycerides using Deep Image Prior

no code implementations2 Jul 2024 Chaoxing Huang, Ziqiang Yu, Zijian Gao, Qiuyi Shen, Queenie Chan, Vincent Wai-Sun Wong, Winnie Chiu-Wing Chu, Weitian Chen

Fatty acid can potentially serve as biomarker for evaluating metabolic disorder and inflammation condition, and quantifying the double bonds is the key for revealing fatty acid information.

Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning

no code implementations24 Aug 2022 Zijian Gao, Kele Xu, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, Huaimin Wang

Our method involves training a self-supervised prediction model, saving snapshots of the model parameters, and using nuclear norm to evaluate the temporal inconsistency between the predictions of different snapshots as intrinsic rewards.

reinforcement-learning Reinforcement Learning +1

Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration

no code implementations24 Aug 2022 Zijian Gao, Yiying Li, Kele Xu, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, Huaimin Wang

The curiosity arouses if memorized information can not deal with the current state, and the information gap between dual learners can be formulated as the intrinsic reward for agents, and then such state information can be consolidated into the dynamic memory.

Reinforcement Learning (RL)

Nuclear Norm Maximization Based Curiosity-Driven Learning

no code implementations21 May 2022 Chao Chen, Zijian Gao, Kele Xu, Sen yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang

To handle the sparsity of the extrinsic rewards in reinforcement learning, researchers have proposed intrinsic reward which enables the agent to learn the skills that might come in handy for pursuing the rewards in the future, such as encouraging the agent to visit novel states.

Atari Games

CLIP2TV: Align, Match and Distill for Video-Text Retrieval

no code implementations10 Nov 2021 Zijian Gao, Jingyu Liu, Weiqi Sun, Sheng Chen, Dedan Chang, Lili Zhao

Modern video-text retrieval frameworks basically consist of three parts: video encoder, text encoder and the similarity head.

Ranked #13 on Video Retrieval on MSR-VTT-1kA (using extra training data)

Representation Learning Text Retrieval +1

Coarse to Fine: Video Retrieval before Moment Localization

no code implementations14 Oct 2021 Zijian Gao, Huanyu Liu, Jingyu Liu

The current state-of-the-art methods for video corpus moment retrieval (VCMR) often use similarity-based feature alignment approach for the sake of convenience and speed.

Moment Retrieval Retrieval +2

KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning

no code implementations25 May 2021 Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang, Yiying Li, Hongda Jia

In this paper, we present an adaptation method of the majority of multi-agent reinforcement learning (MARL) algorithms called KnowSR which takes advantage of the differences in learning between agents.

Deep Reinforcement Learning Knowledge Distillation +3

KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning

no code implementations27 Mar 2021 Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang, Yiying Li, Hongda Jia

In this paper, we propose a method, named "KnowRU" for knowledge reusing which can be easily deployed in the majority of the multi-agent reinforcement learning algorithms without complicated hand-coded design.

Deep Reinforcement Learning Knowledge Distillation +3

Random forest model identifies serve strength as a key predictor of tennis match outcome

no code implementations8 Oct 2019 Zijian Gao, Amanda Kowalczyk

We compiled, cleaned, and used the largest database of tennis match information to date to predict match outcome using fairly simple machine learning methods.

BIG-bench Machine Learning Sports Analytics

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