no code implementations • 5 Mar 2024 • Zhiding Liang, Gang Liu, Zheyuan Liu, Jinglei Cheng, Tianyi Hao, Kecheng Liu, Hang Ren, Zhixin Song, Ji Liu, Fanny Ye, Yiyu Shi
In recent years, quantum computing has emerged as a transformative force in the field of combinatorial optimization, offering novel approaches to tackling complex problems that have long challenged classical computational methods.
no code implementations • 15 Feb 2024 • Zheyuan Liu, Xiaoxin He, Yijun Tian, Nitesh V. Chawla
Graph plays an important role in representing complex relationships in real-world applications such as social networks, biological data and citation networks.
no code implementations • 15 Feb 2024 • Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang
To address this gap, we introduce Selective Knowledge negation Unlearning (SKU), a novel unlearning framework for LLMs, designed to eliminate harmful knowledge while preserving utility on normal prompts.
no code implementations • 12 Feb 2024 • Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla
In light of this, we propose UGMAE, a unified framework for graph masked autoencoders to address these issues from the perspectives of adaptivity, integrity, complementarity, and consistency.
no code implementations • 6 Feb 2024 • Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang
OPPU integrates parametric user knowledge in the personal PEFT parameters with the non-parametric knowledge acquired through retrieval and profile.
1 code implementation • 28 Oct 2023 • Zheyuan Liu, Guangyao Dou, Yijun Tian, Chunhui Zhang, Eli Chien, Ziwei Zhu
Exploring the full spectrum of trade-offs between privacy, model utility, and runtime efficiency is critical for practical unlearning scenarios.
1 code implementation • 10 Aug 2023 • Pan Mu, Hanning Xu, Zheyuan Liu, Zheng Wang, Sixian Chan, Cong Bai
To tackle these challenges, we design a Generalized Underwater image enhancement method via a Physical-knowledge-guided Dynamic Model (short for GUPDM), consisting of three parts: Atmosphere-based Dynamic Structure (ADS), Transmission-guided Dynamic Structure (TDS), and Prior-based Multi-scale Structure (PMS).
no code implementations • 9 Aug 2023 • Zheyuan Liu, Pan Mu, Hanning Xu, Cong Bai
Video colorization, aiming at obtaining colorful and plausible results from grayish frames, has aroused a lot of interest recently.
1 code implementation • 8 Aug 2023 • Weixuan Sun, Yanhao Zhang, Zhen Qin, Zheyuan Liu, Lin Cheng, Fanyi Wang, Yiran Zhong, Nick Barnes
Given a pair of augmented views, our approach regularizes the activation intensities between a pair of augmented views, while also ensuring that the affinity across regions within each view remains consistent.
Ranked #15 on Weakly-Supervised Semantic Segmentation on COCO 2014 val
Object Localization Weakly supervised Semantic Segmentation +1
2 code implementations • 25 May 2023 • Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould
An alternative approach is to allow interactions between the query and every possible candidate, i. e., reference-text-candidate triplets, and pick the best from the entire set.
Ranked #2 on Image Retrieval on CIRR
1 code implementation • 2 May 2023 • Weixuan Sun, Zheyuan Liu, Yanhao Zhang, Yiran Zhong, Nick Barnes
The Segment Anything Model (SAM) has demonstrated exceptional performance and versatility, making it a promising tool for various related tasks.
Ranked #3 on Weakly-Supervised Semantic Segmentation on COCO 2014 val (using extra training data)
1 code implementation • 29 Mar 2023 • Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould
Composed image retrieval searches for a target image based on a multi-modal user query comprised of a reference image and modification text describing the desired changes.
Ranked #6 on Image Retrieval on Fashion IQ
1 code implementation • CVPR 2023 • Weixuan Sun, Jiayi Zhang, Jianyuan Wang, Zheyuan Liu, Yiran Zhong, Tianpeng Feng, Yandong Guo, Yanhao Zhang, Nick Barnes
Based on this observation, we propose a new learning strategy named False Negative Aware Contrastive (FNAC) to mitigate the problem of misleading the training with such false negative samples.
1 code implementation • 6 Dec 2021 • Weixuan Sun, Jing Zhang, Zheyuan Liu, Yiran Zhong, Nick Barnes
To bridge their gap, a Class Activation Map (CAM) is usually generated to provide pixel level pseudo labels.
Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation
3 code implementations • ICCV 2021 • Zheyuan Liu, Cristian Rodriguez-Opazo, Damien Teney, Stephen Gould
We demonstrate that with a relatively simple architecture, CIRPLANT outperforms existing methods on open-domain images, while matching state-of-the-art accuracy on the existing narrow datasets, such as fashion.
Ranked #10 on Image Retrieval on CIRR
no code implementations • 29 May 2019 • Adriana-Simona Mihaita, Zheyuan Liu, Chen Cai, Marian-Andrei Rizoiu
Predicting traffic incident duration is a major challenge for many traffic centres around the world.
no code implementations • EMNLP 2017 • Ross Mechanic, Dean Fulgoni, Hannah Cutler, Sneha Rajana, Zheyuan Liu, Bradley Jackson, Anne Cocos, Chris Callison-Burch, Marianna Apidianaki
Semantic relation knowledge is crucial for natural language understanding.