1 code implementation • Findings (ACL) 2022 • Zhen Wang, Yating Yang, Zhou Xi, Bo Ma, Lei Wang, Rui Dong, Azmat Anwar
We also propose a stable semi-supervised method named stair learning (SL) that orderly distills knowledge from better models to weaker models.
no code implementations • NAACL (SUKI) 2022 • Lingbo Mo, Zhen Wang, Jie Zhao, Huan Sun
More fine-grained analyses on transfer behaviors reveal the types of transferred knowledge and transfer patterns.
1 code implementation • ICML 2020 • Zhen Wang, Liu Liu, DaCheng Tao
In order to fill in these research gaps, we propose a novel deep neural network (DNN) based framework, Deep Streaming Label Learning (DSLL), to classify instances with newly emerged labels effectively.
no code implementations • 16 Jun 2025 • Zhen Wang, Hongyi Liu, Zhihui Wei
We introduce a likelihood-guided noise refinement mechanism that derives a closed-form approximation of the likelihood score, simplifying score estimation and avoiding expensive gradient computations.
no code implementations • 10 Jun 2025 • Runze Li, Di Jin, Xiaobao Wang, Dongxiao He, Bingdao Feng, Zhen Wang
To address these challenges, this paper proposes a novel graph backdoor attack method that aims to enhance the exposure of target items to the target user in a covert manner, without affecting other unrelated nodes.
no code implementations • 30 May 2025 • Chenyou Fan, Fangzheng Yan, Chenjia Bai, Jiepeng Wang, Chi Zhang, Zhen Wang, Xuelong Li
However, transferring knowledge from single-arm datasets or pre-trained VLA models often fails to generalize effectively, primarily due to the scarcity of bimanual data and the fundamental differences between single-arm and bimanual manipulation.
1 code implementation • 26 May 2025 • Yiqun Zhang, Hao Li, Chenxu Wang, Linyao Chen, Qiaosheng Zhang, Peng Ye, Shi Feng, Daling Wang, Zhen Wang, Xinrun Wang, Jia Xu, Lei Bai, Wanli Ouyang, Shuyue Hu
The top-performing model(s) within that cluster are selected to generate the response using the Self-Consistency or its multi-model variant.
1 code implementation • 20 May 2025 • Shiyin Tan, Dongyuan Li, Renhe Jiang, Zhen Wang, Xingtong Yu, Manabu Okumura
To address these issues, we propose a novel method called CausalEPP (Causal Intervention on Evolving Personal Popularity) for taming recommendation bias, which accounts for the evolving personal popularity of users.
1 code implementation • 20 May 2025 • Jingqi Tong, Jixin Tang, Hangcheng Li, Yurong Mou, Ming Zhang, Jun Zhao, Yanbo Wen, Fan Song, Jiahao Zhan, Yuyang Lu, Chaoran Tao, Zhiyuan Guo, Jizhou Yu, Tianhao Cheng, Changhao Jiang, Zhen Wang, Tao Liang, Zhihui Fei, Mingyang Wan, Guojun Ma, Weifeng Ge, Guanhua Chen, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang
Our approach leverages Large Language Models (LLMs) to adapt game code, enabling automatic acquisition of reasoning processes and results through code execution.
no code implementations • 19 May 2025 • Le Cheng, Peican Zhu, Yangming Guo, Chao GAO, Zhen Wang, Keke Tang
Source detection on graphs has demonstrated high efficacy in identifying rumor origins.
no code implementations • 19 May 2025 • Le Cheng, Peican Zhu, Yangming Guo, Keke Tang, Chao GAO, Zhen Wang
Hypergraphs offer superior modeling capabilities for social networks, particularly in capturing group phenomena that extend beyond pairwise interactions in rumor propagation.
1 code implementation • 19 May 2025 • Yanbin Yin, Kun Zhou, Zhen Wang, Xiangdong Zhang, Yifei Shao, Shibo Hao, Yi Gu, Jieyuan Liu, Somanshu Singla, Tianyang Liu, Eric P. Xing, Zhengzhong Liu, Haojian Jin, Zhiting Hu
The recent explosion of large language models (LLMs), each with its own general or specialized strengths, makes scalable, reliable benchmarking more urgent than ever.
no code implementations • 9 May 2025 • Anjie Qiao, Hao Zhang, Qianmu Yuan, Qirui Deng, Jingtian Su, Weifeng Huang, Huihao Zhou, Guo-Bo Li, Zhen Wang, Jinping Lei
Generating molecules that bind to specific protein targets via diffusion models has shown good promise for structure-based drug design and molecule optimization.
no code implementations • 8 May 2025 • Siyue Ren, Wanli Fu, Xinkun Zou, Chen Shen, Yi Cai, Chen Chu, Zhen Wang, Shuyue Hu
The tragedy of the commons, where individual self-interest leads to collectively disastrous outcomes, is a pervasive challenge in human society.
1 code implementation • 7 Apr 2025 • Haoren Zhao, Tianyi Chen, Zhen Wang
Graphical User Interface (GUI) grounding models are crucial for enabling intelligent agents to understand and interact with complex visual interfaces.
no code implementations • CVPR 2025 • Shijie Zhou, Hui Ren, Yijia Weng, Shuwang Zhang, Zhen Wang, Dejia Xu, Zhiwen Fan, Suya You, Zhangyang Wang, Leonidas Guibas, Achuta Kadambi
In this paper, we introduce Feature4X, a universal framework designed to extend any functionality from 2D vision foundation model into the 4D realm, using only monocular video input, which is widely available from user-generated content.
1 code implementation • 23 Mar 2025 • Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Yuxiao Huang, Zhen Wang
To answer this, we explore the role of negative nodes in the commonly used InfoNCE loss for GCL and observe that: (1) Counterintuitively, a large number of negative nodes can actually hinder the model's ability to distinguish nodes with different semantics.
1 code implementation • 9 Mar 2025 • Ming Zhang, Yuhui Wang, Yujiong Shen, Tingyi Yang, Changhao Jiang, Yilong Wu, Shihan Dou, Qinhao Chen, Zhiheng Xi, Zhihao Zhang, Yi Dong, Zhen Wang, Zhihui Fei, Mingyang Wan, Tao Liang, Guojun Ma, Qi Zhang, Tao Gui, Xuanjing Huang
Additionally, the 8B model can surpass GPT-4o up to 43. 88% with an average of 11. 00%.
no code implementations • 24 Feb 2025 • Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Liancheng Fang, Zhen Wang, Philip S. Yu
Autonomous Driving Systems (ADSs) are revolutionizing transportation by reducing human intervention, improving operational efficiency, and enhancing safety.
no code implementations • 12 Feb 2025 • Hangfan Zhang, Zhiyao Cui, Xinrun Wang, Qiaosheng Zhang, Zhen Wang, Dinghao Wu, Shuyue Hu
Multi-agent debate (MAD) has emerged as a promising approach to enhance the factual accuracy and reasoning quality of large language models (LLMs) by engaging multiple agents in iterative discussions during inference.
1 code implementation • 6 Feb 2025 • Changhao Jiang, Ming Zhang, Junjie Ye, Xiaoran Fan, Yifei Cao, Jiajun Sun, Zhiheng Xi, Shihan Dou, Yi Dong, Yujiong Shen, Jingqi Tong, Zhen Wang, Tao Liang, Zhihui Fei, Mingyang Wan, Guojun Ma, Qi Zhang, Tao Gui, Xuanjing Huang
The GPT-4 technical report highlights the possibility of predicting model performance on downstream tasks using only pre-training signals, though detailed methodologies are absent.
no code implementations • 30 Dec 2024 • Jiaojiao Ye, Zhen Wang, Linnan Jiang
Experimental results show that our proposed method is able to directly quantize full-precision diffusion models into 8-bit or 4-bit models while maintaining comparable performance in a training-free manner, achieving a few FID change on ImageNet for unconditional image generation.
1 code implementation • 20 Dec 2024 • Zhongtian Ma, Qiaosheng Zhang, Bocheng Zhou, Yexin Zhang, Shuyue Hu, Zhen Wang
Specifically, by appropriately defining \emph{structure noise} and \emph{feature noise} in graphs, we show that graph attention mechanisms can enhance classification performance when structure noise exceeds feature noise.
no code implementations • 15 Dec 2024 • Qingwen Tian, Yuxin Xu, Yixuan Yang, Zhen Wang, Ziqi Liu, Pengju Yan, Xiaolin Li
EquiFlow uniquely applies conditional flow matching in molecular 3D conformation prediction, leveraging simulation-free training to address slow training speeds.
no code implementations • 27 Nov 2024 • Jieshan Chen, Zhen Wang, Jiamou Sun, Wenbo Zou, Zhenchang Xing, Qinghua Lu, Qing Huang, Xiwei Xu
While some studies targeted at automated detection, they are constrained to static patterns and still necessitate manual app exploration.
no code implementations • CVPR 2025 • Biqing Qi, Fangyuan Li, Zhen Wang, Junqi Gao, Dong Li, Peng Ye, BoWen Zhou
However, existing methods face challenges of redundant parameter conflicts and the excessive storage burden of parameters.
no code implementations • CVPR 2025 • Hongxu Chen, Runshi Li, Bowei Zhu, Zhen Wang, Long Chen
Prior works on LoRA merging primarily frame it as an optimization problem, yet these approaches face several limitations, including the rough assumption about input features utilized in optimization, massive sample requirements, and the unbalanced optimization objective.
1 code implementation • 13 Nov 2024 • Somanshu Singla, Zhen Wang, Tianyang Liu, Abdullah Ashfaq, Zhiting Hu, Eric P. Xing
To further lower costs and achieve alignment without any expensive tuning or annotations, we introduce a new tuning-free approach for self-alignment, Dynamic Rewarding with Prompt Optimization (DRPO).
1 code implementation • 3 Nov 2024 • Haotong Du, Quanming Yao, Juzheng Zhang, Yang Liu, Zhen Wang
Subgraph-based methods have proven to be effective and interpretable in predicting drug-drug interactions (DDIs), which are essential for medical practice and drug development.
no code implementations • 11 Oct 2024 • Lilin Fan, Xuqing Chai, Zhixiong Tian, Yihang Qiao, Zhen Wang, Yifan Zhang
Analysis of the genome sequence of Perccottus glenii, the only fish known to possess freeze tolerance, holds significant importance for understanding how organisms adapt to extreme environments, Traditional biological analysis methods are time-consuming and have limited accuracy, To address these issues, we will employ machine learning techniques to analyze the gene sequences of Perccottus glenii, with Neodontobutis hainanens as a comparative group, Firstly, we have proposed five gene sequence vectorization methods and a method for handling ultra-long gene sequences, We conducted a comparative study on the three vectorization methods: ordinal encoding, One-Hot encoding, and K-mer encoding, to identify the optimal encoding method, Secondly, we constructed four classification models: Random Forest, LightGBM, XGBoost, and Decision Tree, The dataset used by these classification models was extracted from the National Center for Biotechnology Information database, and we vectorized the sequence matrices using the optimal encoding method, K-mer, The Random Forest model, which is the optimal model, achieved a classification accuracy of up to 99, 98 , Lastly, we utilized SHAP values to conduct an interpretable analysis of the optimal classification model, Through ten-fold cross-validation and the AUC metric, we identified the top 10 features that contribute the most to the model's classification accuracy, This demonstrates that machine learning methods can effectively replace traditional manual analysis in identifying genes associated with the freeze tolerance phenotype in Perccottus glenii.
no code implementations • 10 Oct 2024 • Leyi Zhu, Weihuang Liu, Xinyi Chen, Zimeng Li, Xuhang Chen, Zhen Wang, Chi-Man Pun
Shadow detection is crucial for accurate scene understanding in computer vision, yet it is challenged by the diverse appearances of shadows caused by variations in illumination, object geometry, and scene context.
no code implementations • 7 Oct 2024 • Zhen Wang, Dongyuan Li, Yaozu Wu, Tianyu He, Jiang Bian, Renhe Jiang
In recent years, 3D vision has become a crucial field within computer vision, powering a wide range of applications such as autonomous driving, robotics, augmented reality, and medical imaging.
no code implementations • 4 Oct 2024 • Ziqi Jiang, Zhen Wang, Long Chen
To address these issues, we proposed \textbf{CLIPDrag}, a novel image editing method that is the first to combine text and drag signals for precise and ambiguity-free manipulations on diffusion models.
no code implementations • 3 Oct 2024 • Zhen Wang, Yilei Jiang, Dong Zheng, Jun Xiao, Long Chen
To extend customized image generation to more complex scenes for general real-world applications, we propose a new task: event-customized image generation.
no code implementations • 30 Sep 2024 • Chenyou Fan, Chenjia Bai, Zhao Shan, Haoran He, Yang Zhang, Zhen Wang
Then for downstream tasks, we adopt RL-based fine-tuning with task-specific rewards to quickly refine the diffusion planner, which aims to generate action sequences with higher task-specific returns.
no code implementations • 29 Sep 2024 • Zhen Wang, Ruiqi Song, Chen Shen, Shiya Yin, Zhao Song, Balaraju Battu, Lei Shi, Danyang Jia, Talal Rahwan, Shuyue Hu
Despite rapid technological progress, effective human-machine cooperation remains a significant challenge.
no code implementations • 21 Sep 2024 • Fuyang Yu, Runze Tian, Zhen Wang, Xiaochuan Wang, Xiaohui Liang
To ease the difficulty of acquiring annotation labels in 3D data, a common method is using unsupervised and open-vocabulary semantic segmentation, which leverage 2D CLIP semantic knowledge.
Open Vocabulary Semantic Segmentation
Open-Vocabulary Semantic Segmentation
+1
no code implementations • 6 Sep 2024 • Shang Xiang, Lin Yao, Zhen Wang, Qifan Yu, Wentan Liu, Wentao Guo, Guolin Ke
The field of computer-aided synthesis planning (CASP) has seen rapid advancements in recent years, achieving significant progress across various algorithmic benchmarks.
no code implementations • 5 Sep 2024 • Zhe Wang, Zhen Wang, Jianwen Wu, Wangzhong Xiao, Yidong Chen, Zihua Feng, Dian Yang, Hongchen Liu, Bo Liang, Jiaojiao Fu
In order to accurately identify the performance status of mobile devices and finely adjust the user experience, a real-time performance perception evaluation method based on TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) combined with entropy weighting method and time series model construction was studied.
no code implementations • 27 Aug 2024 • Gengmo Zhou, Zhen Wang, Feng Yu, Guolin Ke, Zhewei Wei, Zhifeng Gao
Virtual Screening is an essential technique in the early phases of drug discovery, aimed at identifying promising drug candidates from vast molecular libraries.
no code implementations • 23 Aug 2024 • Chongyan Sun, Ken Lin, Shiwei Wang, Hulong Wu, Chengfei Fu, Zhen Wang
This paper introduces LalaEval, a holistic framework designed for the human evaluation of domain-specific large language models (LLMs).
1 code implementation • 22 Aug 2024 • Cheng Zhao, Bin Wang, Zhen Wang
Additionally, evaluating literary works is often complex and hard to fully quantify, which directly hinders the further development of AI creation.
no code implementations • 21 Aug 2024 • Hao Wang, Yongqiang Han, Kefan Wang, Kai Cheng, Zhen Wang, Wei Guo, Yong liu, Defu Lian, Enhong Chen
Its objective is to extract knowledge from extensive pre-training data and fine-tune the model for downstream tasks.
no code implementations • 20 Aug 2024 • Hong Xie, Mingze Zhong, Defu Lian, Zhen Wang, Enhong Chen
We also study the speed of convergence numerically and reveal trade-offs in selecting rating aggregation rules and review selection mechanisms.
1 code implementation • 9 Aug 2024 • Wenwen Min, Zhen Wang, Fangfang Zhu, Taosheng Xu, Shunfang Wang
Single-cell RNA sequencing (scRNA-seq) data analysis is pivotal for understanding cellular heterogeneity.
no code implementations • 1 Aug 2024 • Wenzhe Tian, Haijin Zeng, Yin-Ping Zhao, Yongyong Chen, Zhen Wang, Xuelong Li
Current CNN-based methods are limited in modeling long-range dependencies, while Transformer-based models face high computational complexity.
no code implementations • 22 Jul 2024 • Zhen Wang, Dylan G. Ildefonzo, Linbing Wang
The first objective of the proposed neural network is to classify presence of fatigue cracking based on pavement surface images.
no code implementations • 3 Jul 2024 • Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen
Recent advancements in graph learning have revolutionized the way to understand and analyze data with complex structures.
no code implementations • 25 Jun 2024 • Ke Wang, Weikang Li, Shibo Xu, Mengyao Hu, Jiachen Chen, Yaozu Wu, Chuanyu Zhang, Feitong Jin, Xuhao Zhu, Yu Gao, Ziqi Tan, Aosai Zhang, Ning Wang, Yiren Zou, TingTing Li, Fanhao Shen, Jiarun Zhong, Zehang Bao, Zitian Zhu, Zixuan Song, Jinfeng Deng, Hang Dong, Xu Zhang, Pengfei Zhang, Wenjie Jiang, Zhide Lu, Zheng-Zhi Sun, Hekang Li, Qiujiang Guo, Zhen Wang, Patrick Emonts, Jordi Tura, Chao Song, H. Wang, Dong-Ling Deng
As an illustrating example, we variationally prepare the low-energy state of a two-dimensional honeycomb model with 73 qubits and certify its Bell correlations by measuring an energy that surpasses the corresponding classical bound with up to 48 standard deviations.
2 code implementations • 21 Jun 2024 • Xiaohong Ji, Zhen Wang, Zhifeng Gao, Hang Zheng, Linfeng Zhang, Guolin Ke, Weinan E
In recent years, pretraining models have made significant advancements in the fields of natural language processing (NLP), computer vision (CV), and life sciences.
no code implementations • 17 Jun 2024 • Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob Hansen, James Glass, David Cox, Rameswar Panda, Rogerio Feris, Alan Ritter
Our findings highlight the critical role of modularity, the applicability of Self-MoE to multiple base LLMs, and the potential of self-improvement in achieving efficient, scalable, and adaptable systems.
no code implementations • 23 May 2024 • Youcan Xu, Zhen Wang, Jun Xiao, Wei Liu, Long Chen
With the advance of diffusion models, various personalized image generation methods have been proposed.
no code implementations • 23 May 2024 • Yang Zhang, Shixin Yang, Chenjia Bai, Fei Wu, Xiu Li, Zhen Wang, Xuelong Li
In this paper, we propose a novel framework for multi-agent collaboration that introduces Reinforced Advantage feedback (ReAd) for efficient self-refinement of plans.
no code implementations • 21 May 2024 • Mingjia Yin, Hao Wang, Wei Guo, Yong liu, Zhi Li, Sirui Zhao, Zhen Wang, Defu Lian, Enhong Chen
Cross-domain sequential recommendation (CDSR) aims to uncover and transfer users' sequential preferences across multiple recommendation domains.
no code implementations • 13 May 2024 • Yiqun Duan, Xianda Guo, Zheng Zhu, Zhen Wang, Yu-Kai Wang, Chin-Teng Lin
The masked training enhances the fusion representation by reconstruction on masked tokens.
no code implementations • 12 May 2024 • Changhong Wang, Xudong Yu, Chenjia Bai, Qiaosheng Zhang, Zhen Wang
To address this problem, our work builds upon the investigation of successor representations for task generalization in online RL and extends the framework to incorporate offline-to-online learning.
1 code implementation • 10 May 2024 • Xiaoyu Wen, Chenjia Bai, Kang Xu, Xudong Yu, Yang Zhang, Xuelong Li, Zhen Wang
In this paper, we propose a novel representation-based approach to measure the domain gap, where the representation is learned through a contrastive objective by sampling transitions from different domains.
no code implementations • 1 May 2024 • Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding, Manabu Okumura
Active learning seeks to achieve strong performance with fewer training samples.
1 code implementation • 30 Apr 2024 • Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
We further provide theoretical analysis, which shows that the optimality gap of our method is only related to the expected data coverage of the shared dataset, thus resolving the distribution shift issue in data sharing.
no code implementations • 30 Apr 2024 • Qiaosheng Zhang, Chenjia Bai, Shuyue Hu, Zhen Wang, Xuelong Li
Finally, we extend Reg-MAIDS to multi-player general-sum MGs and prove that it can learn either the Nash equilibrium or coarse correlated equilibrium in a sample efficient manner.
no code implementations • 24 Apr 2024 • Peican Zhu, Zechen Pan, Yang Liu, Jiwei Tian, Keke Tang, Zhen Wang
Specifically, as sharing is an important social interaction for GNN-based fake news detectors to construct the graph, we simulate sharing behaviors to fool the detectors.
no code implementations • 9 Apr 2024 • Xudong Yu, Chenjia Bai, Hongyi Guo, Changhong Wang, Zhen Wang
Offline Reinforcement Learning (RL) faces distributional shift and unreliable value estimation, especially for out-of-distribution (OOD) actions.
1 code implementation • 8 Apr 2024 • Shibo Hao, Yi Gu, Haotian Luo, Tianyang Liu, Xiyan Shao, Xinyuan Wang, Shuhua Xie, Haodi Ma, Adithya Samavedhi, Qiyue Gao, Zhen Wang, Zhiting Hu
(2) We develop LLM Reasoners, a library for standardized modular implementation of existing and new reasoning algorithms, under a unified formulation of the search, reward, and world model components.
no code implementations • CVPR 2024 • Shiwei Jin, Zhen Wang, Lei Wang, Peng Liu, Ning Bi, Truong Nguyen
Our experiments demonstrate AUEditNet's superior accuracy in editing AU intensities, affirming its capability in disentangling facial attributes and identity within a limited subject pool.
no code implementations • 16 Mar 2024 • Zhen Wang, Wenwen Min
Nonnegative Matrix Factorization (NMF) is a widely applied technique in the fields of machine learning and data mining.
1 code implementation • 13 Mar 2024 • Siyue Ren, Zhiyao Cui, Ruiqi Song, Zhen Wang, Shuyue Hu
Our experiments deployed in the Smallville sandbox game environment demonstrate the capability of our architecture to establish social norms and reduce social conflicts within generative MASs.
no code implementations • 27 Feb 2024 • Le Cheng, Peican Zhu, Keke Tang, Chao GAO, Zhen Wang
In this paper, we address a more challenging task, rumor source detection with incomplete user data, and propose a novel framework, i. e., Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion (GIN-SD), to tackle this challenge.
no code implementations • 27 Feb 2024 • Chunjiang Mu, Hao Guo, Yang Chen, Chen Shen, Shuyue Hu, Zhen Wang
Third, we review the emergent field of leveraging AI agents to enhance cooperation among humans.
no code implementations • 19 Feb 2024 • Jian Wu, Linyi Yang, Zhen Wang, Manabu Okumura, Yue Zhang
Although previous counterfactual QA benchmarks can separate the internal memory of LLMs, they focus solely on final QA performance, which is insufficient for reporting LLMs' real reasoning abilities.
no code implementations • 7 Feb 2024 • Jiahua Rao, Jiancong Xie, Hanjing Lin, Shuangjia Zheng, Zhen Wang, Yuedong Yang
While such methods could improve GNN predictions, they usually don't perform well on explanations.
no code implementations • 28 Jan 2024 • Yuhang Zheng, Zhen Wang, Long Chen
Compared to training on the entire augmented dataset, our ECL strategy can further enhance VQA models' performance with fewer training samples.
no code implementations • 25 Jan 2024 • Zhen Wang, Yuelei Li, Jia Wan, Nuno Vasconcelos
Our proposed smoothed density map input for ControlNet significantly improves ControlNet's performance in generating crowds in the correct locations.
no code implementations • 17 Jan 2024 • Yexin Zhang, Zhongtian Ma, Qiaosheng Zhang, Zhen Wang, Xuelong Li
This paper considers the problem of community detection on multiple potentially correlated graphs from an information-theoretical perspective.
1 code implementation • 17 Jan 2024 • Hong Wang, Zhongkai Hao, Jie Wang, Zijie Geng, Zhen Wang, Bin Li, Feng Wu
To the best of our knowledge, SKR is the first attempt to address the time-consuming nature of data generation for learning neural operators.
no code implementations • 16 Jan 2024 • Zhongtian Ma, Qiaosheng Zhang, Zhen Wang
Theoretical analyses show that our algorithm succeeds with high probability as long as the sample probability exceeds the aforementioned threshold, and this theoretical result is further validated by synthetic experiments.
no code implementations • CVPR 2024 • Jiaming Zhuo, Feiyang Qin, Can Cui, Kun fu, bingxin niu, Mengzhu Wang, Yuanfang Guo, Chuan Wang, Zhen Wang, Xiaochun Cao, Liang Yang
Graph Contrastive Learning (GCL) a Self-Supervised Learning (SSL) architecture tailored for graphs has shown notable potential for mitigating label scarcity.
no code implementations • 19 Dec 2023 • Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun
In reinforcement learning, the optimism in the face of uncertainty (OFU) is a mainstream principle for directing exploration towards less explored areas, characterized by higher uncertainty.
no code implementations • 18 Dec 2023 • Zhihao Zhu, Chenwang Wu, Rui Fan, Yi Yang, Zhen Wang, Defu Lian, Enhong Chen
Recent research demonstrates that GNNs are vulnerable to the model stealing attack, a nefarious endeavor geared towards duplicating the target model via query permissions.
no code implementations • 12 Dec 2023 • Yuanbin Wang, Shaofei Huang, Yulu Gao, Zhen Wang, Rui Wang, Kehua Sheng, Bo Zhang, Si Liu
In this work, we focus on zero-shot point cloud semantic segmentation and propose a simple yet effective baseline to transfer the visual-linguistic knowledge implied in CLIP to point cloud encoder at both feature and output levels.
1 code implementation • 10 Dec 2023 • Shu Yin, Chao GAO, Zhen Wang
With the rise of social media, the spread of fake news has become a significant concern, potentially misleading public perceptions and impacting social stability.
no code implementations • 8 Dec 2023 • Zhen Wang, Qiangeng Xu, Feitong Tan, Menglei Chai, Shichen Liu, Rohit Pandey, Sean Fanello, Achuta Kadambi, yinda zhang
State-of-the-art results from extensive experiments demonstrate MVDD's excellent ability in 3D shape generation, depth completion, and its potential as a 3D prior for downstream tasks.
no code implementations • 27 Nov 2023 • Zhen Wang, Kaihua Xi, Aijie Cheng, Hai Xiang Lin, Jan H. van Schuppen
How to determine the vector of power supplies of a stochastic power system for the next short horizon, such that the probability is less than a prespecified value that any phase-angle difference of a power line of the power network exits from a safe set?
no code implementations • 25 Nov 2023 • Zhen Wang, Xinyun Jiang, Jun Xiao, Tao Chen, Long Chen
The denoising process involves the explicit predictions of edit operations and corresponding content words, refining reference captions through iterative step-wise editing.
2 code implementations • 5 Nov 2023 • Zeren Chen, Ziqin Wang, Zhen Wang, Huayang Liu, Zhenfei Yin, Si Liu, Lu Sheng, Wanli Ouyang, Yu Qiao, Jing Shao
While this phenomenon has been overlooked in previous work, we propose a novel and extensible framework, called Octavius, for comprehensive studies and experimentation on multimodal learning with Multimodal Large Language Models (MLLMs).
2 code implementations • 25 Oct 2023 • Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu
Highly effective, task-specific prompts are often heavily engineered by experts to integrate detailed instructions and domain insights based on a deep understanding of both instincts of large language models (LLMs) and the intricacies of the target task.
1 code implementation • 11 Oct 2023 • Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, DaCheng Tao
Plasticity, the ability of a neural network to evolve with new data, is crucial for high-performance and sample-efficient visual reinforcement learning (VRL).
1 code implementation • 29 Sep 2023 • Xiaoyu Wen, Xudong Yu, Rui Yang, HaoYuan Chen, Chenjia Bai, Zhen Wang
Experimental results illustrate the superiority of RO2O in facilitating stable offline-to-online learning and achieving significant improvement with limited online interactions.
1 code implementation • 27 Sep 2023 • Lin Yao, Wentao Guo, Zhen Wang, Shang Xiang, Wentan Liu, Guolin Ke
Single-step retrosynthesis (SSR) in organic chemistry is increasingly benefiting from deep learning (DL) techniques in computer-aided synthesis design.
Ranked #1 on
Single-step retrosynthesis
on USPTO-50k
2 code implementations • 19 Sep 2023 • Shaocong Xu, Pengfei Li, Qianpu Sun, Xinyu Liu, Yang Li, Shihui Guo, Zhen Wang, Bo Jiang, Rui Wang, Kehua Sheng, Bo Zhang, Li Jiang, Hao Zhao, Yilun Chen
We demonstrate that learning different abstaining penalties, apart from point-wise penalty, for different types of (synthesized) outliers can further improve the performance.
no code implementations • 31 Aug 2023 • Shuai Wang, Zhen Wang, Yuan-Hai Shao
Furthermore, we propose some different memory impact functions for the MIMM and WIMM.
1 code implementation • 17 Aug 2023 • Zhen Wang, Da Li, Yulin Su, Min Yang, Minghui Qiu, Walton Wang
Instead, we view this as a multimodal task, using text as auxiliary information to facilitate the visual model's understanding of the logo.
no code implementations • 14 Aug 2023 • Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang
Humans have the ability to reuse previously learned policies to solve new tasks quickly, and reinforcement learning (RL) agents can do the same by transferring knowledge from source policies to a related target task.
1 code implementation • 29 Jul 2023 • Lingbo Mo, Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Sunit Singh, Samuel Stevens, Chang-You Tai, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun
We introduce TacoBot, a user-centered task-oriented digital assistant designed to guide users through complex real-world tasks with multiple steps.
no code implementations • 28 Jul 2023 • Ziyang Zhou, Yingtie Lei, Xuhang Chen, Shenghong Luo, Wenjun Zhang, Chi-Man Pun, Zhen Wang
Shadows in scanned documents pose significant challenges for document analysis and recognition tasks due to their negative impact on visual quality and readability.
no code implementations • 17 Jul 2023 • Rongke Liu, Dong Wang, Yizhi Ren, Zhen Wang, Kaitian Guo, Qianqian Qin, Xiaolei Liu
Therefore, the attack models in existing MIAs are difficult to effectively train with the knowledge of the target model, resulting in sub-optimal attacks.
no code implementations • 28 Jun 2023 • Dongpeng Hou, Zhen Wang, Chao GAO, Xuelong Li
Snapshot observation based source localization has been widely studied due to its accessibility and low cost.
no code implementations • 27 Jun 2023 • Zhehua Zhong, Tianyi Chen, Zhen Wang
Fine-tuning large-scale pre-trained language models has been demonstrated effective for various natural language processing (NLP) tasks.
no code implementations • 28 May 2023 • Kang Xu, Chenjia Bai, Shuang Qiu, Haoran He, Bin Zhao, Zhen Wang, Wei Li, Xuelong Li
Leveraging learned strategies in unfamiliar scenarios is fundamental to human intelligence.
3 code implementations • 24 May 2023 • Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu
RAP on LLAMA-33B surpasses CoT on GPT-4 with 33% relative improvement in a plan generation setting.
no code implementations • 22 May 2023 • De Cheng, Lingfeng He, Nannan Wang, Shizhou Zhang, Zhen Wang, Xinbo Gao
To this end, we propose a novel bilateral cluster matching-based learning framework to reduce the modality gap by matching cross-modality clusters.
no code implementations • CVPR 2023 • Shiwei Jin, Zhen Wang, Lei Wang, Ning Bi, Truong Nguyen
Then both the initial and edited embeddings are projected back (deprojected) to the initial latent space as residuals to modify the input latent vectors by subtraction and addition, representing old status removal and new status addition.
1 code implementation • NeurIPS 2023 • Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu
Augmenting large language models (LLMs) with external tools has emerged as a promising approach to solving complex problems.
1 code implementation • 8 May 2023 • Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li
Under mild assumptions, our objective maximizes the MI between different behaviors based on the same skill, which serves as an upper bound of the previous MI objective.
no code implementations • 4 May 2023 • Dayuan Chen, Jian Zhang, Yuqian Lv, Jinhuan Wang, Hongjie Ni, Shanqing Yu, Zhen Wang, Qi Xuan
Furthermore, most methods concentrate on a single attack goal and lack a generalizable adversary to develop distinct attack strategies for diverse goals, thus limiting precise control over victim model behavior in real-world scenarios.
1 code implementation • CVPR 2023 • Xinyu Liu, Beiwen Tian, Zhen Wang, Rui Wang, Kehua Sheng, Bo Zhang, Hao Zhao, Guyue Zhou
Thanks to the impressive progress of large-scale vision-language pretraining, recent recognition models can classify arbitrary objects in a zero-shot and open-set manner, with a surprisingly high accuracy.
no code implementations • 11 Apr 2023 • Anda Cheng, Zhen Wang, Yaliang Li, Jian Cheng
The client encoding is calculated with a random projection-based procedure to protect each client's privacy.
no code implementations • 25 Mar 2023 • Ana Jojic, Zhen Wang, Nebojsa Jojic
We demonstrate that, through appropriate prompting, GPT-3 family of models can be triggered to perform iterative behaviours necessary to execute (rather than just write or recall) programs that involve loops, including several popular algorithms found in computer science curricula or software developer interviews.
1 code implementation • 24 Mar 2023 • Qian Tao, Zhen Wang, Wenyuan Yu, Yaliang Li, Zhewei Wei
In recent years, a plethora of spectral graph neural networks (GNN) methods have utilized polynomial basis with learnable coefficients to achieve top-tier performances on many node-level tasks.
no code implementations • 11 Mar 2023 • Zhen Wang, Jun Xiao, Yueting Zhuang, Fei Gao, Jian Shao, Long Chen
To this end, we propose a novel prompt-based framework for CIC by learning Combinatorial Prompts, dubbed as ComPro.
no code implementations • 6 Mar 2023 • Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogerio Feris, Huan Sun, Yoon Kim
Prompt tuning, in which a base pretrained model is adapted to each task via conditioning on learned prompt vectors, has emerged as a promising approach for efficiently adapting large language models to multiple downstream tasks.
no code implementations • 10 Feb 2023 • Zhen Wang, Peide Zhu, Jie Yang
Controversy is widespread online.
no code implementations • 12 Jan 2023 • Chen Shen, Zhao Song, Lei Shi, Jun Tanimoto, Zhen Wang
Altruistic punishment, where individuals incur personal costs to punish others who have harmed third parties, presents an evolutionary conundrum as it undermines individual fitness.
2 code implementations • 16 Dec 2022 • Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen
Moreover, under the guidance of the carefully collected high-confidence clustering information, our proposed weight modulating function will first recognize the positive and negative samples and then dynamically up-weight the hard sample pairs while down-weighting the easy ones.
no code implementations • CVPR 2023 • Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas Guibas, Achuta Kadambi
One school of thought is to encode a latent vector for each point (point latents).
no code implementations • 30 Nov 2022 • De Cheng, Haichun Tai, Nannan Wang, Zhen Wang, Xinbo Gao
In this paper, we propose a Neighbour Consistency guided Pseudo Label Refinement (NCPLR) framework, which can be regarded as a transductive form of label propagation under the assumption that the prediction of each example should be similar to its nearest neighbours'.
1 code implementation • 25 Nov 2022 • Zhen Wang, Zheng Feng, Yanjun Li, Bowen Li, Yongrui Wang, Chulin Sha, Min He, Xiaolin Li
Although substantial efforts have been made using graph neural networks (GNNs) for AI-driven drug discovery (AIDD), effective molecular representation learning remains an open challenge, especially in the case of insufficient labeled molecules.
1 code implementation • 30 Oct 2022 • Zhen Wang, Haotong Du, Quanming Yao, Xuelong Li
In particular, we develop a generalized framework to explore topological and temporal information in TKGs.
Ranked #1 on
Link Prediction
on GDELT
2 code implementations • 12 Oct 2022 • Janvijay Singh, Fan Bai, Zhen Wang
Cross-task knowledge transfer via multi-task learning has recently made remarkable progress in general NLP tasks.
1 code implementation • 10 Oct 2022 • Guozheng Ma, Zhen Wang, Zhecheng Yuan, Xueqian Wang, Bo Yuan, DaCheng Tao
Visual reinforcement learning (RL), which makes decisions directly from high-dimensional visual inputs, has demonstrated significant potential in various domains.
no code implementations • 4 Oct 2022 • Batu Ozturkler, Nikolay Malkin, Zhen Wang, Nebojsa Jojic
Our results suggest that because the probabilistic inference in ThinkSum is performed outside of calls to the LLM, ThinkSum is less sensitive to prompt design, yields more interpretable predictions, and can be flexibly combined with latent variable models to extract structured knowledge from LLMs.
1 code implementation • 1 Oct 2022 • Yiqun Duan, Zhen Wang, Yi Li, Jianhang Tang, Yu-Kai Wang, Chin-Teng Lin
Recently, various neural network approaches have been proposed to improve the accuracy of EEG signal recognition.
1 code implementation • ICCV 2023 • Zhigang Su, Dawei Zhou, Nannan Wangu, Decheng Li, Zhen Wang, Xinbo Gao
Growing leakage and misuse of visual information raise security and privacy concerns, which promotes the development of information protection.
no code implementations • The Astrophysical Journal 2022 • Hao Shan, Jianping Yuan, Na Wang, Zhen Wang
In pulsar signal processing, two primary difficulties are (1) radio-frequency interference (RFI) mitigation and (2) information loss due to preprocessing and mitigation itself.
no code implementations • 7 Aug 2022 • Chang Yang, Ruiyu Wang, Xinrun Wang, Zhen Wang
However, there is not a unified formulation of the various schemes, as well as the comprehensive comparisons of methods across different schemes.
no code implementations • 25 Jul 2022 • Yajing Kong, Liu Liu, Zhen Wang, DaCheng Tao
Continual learning is a learning paradigm that learns tasks sequentially with resources constraints, in which the key challenge is stability-plasticity dilemma, i. e., it is uneasy to simultaneously have the stability to prevent catastrophic forgetting of old tasks and the plasticity to learn new tasks well.
no code implementations • 24 Jul 2022 • Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, DaCheng Tao
Based on the learnable focuses, we design a focal contrastive loss to rebalance contrastive learning between new and past classes and consolidate previously learned representations.
1 code implementation • 20 Jul 2022 • Zhen Wang, Long Chen, Wenbo Ma, Guangxing Han, Yulei Niu, Jian Shao, Jun Xiao
Given an image and a reference caption, the image caption editing task aims to correct the misalignment errors and generate a refined caption.
no code implementations • 11 Jul 2022 • Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Lingbo Mo, Samuel Stevens, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun
We present TacoBot, a task-oriented dialogue system built for the inaugural Alexa Prize TaskBot Challenge, which assists users in completing multi-step cooking and home improvement tasks.
1 code implementation • 8 Jul 2022 • Zhen Wang, Yuan-Hai Shao
Under this mechanism, error-based learning machines improve their memorization abilities of training data without over-fitting.
no code implementations • 30 Jun 2022 • Zhen Wang
Question Answering (QA) is one of the most important natural language processing (NLP) tasks.
1 code implementation • 8 Jun 2022 • Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li
Due to this uniqueness, existing HPO benchmarks no longer satisfy the need to compare HPO methods in the FL setting.
1 code implementation • 7 Jun 2022 • Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li
To investigate the heterogeneity in federated learning in real-world scenarios, we generalize the classic federated learning to federated hetero-task learning, which emphasizes the inconsistency across the participants in federated learning in terms of both data distribution and learning tasks.
1 code implementation • 27 May 2022 • Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei
Despite their extraordinary predictive accuracy, existing approaches, such as GCN and GPRGNN, are not robust in the face of homophily changes on test graphs, rendering these models vulnerable to graph structural attacks and with limited capacity in generalizing to graphs of varied homophily levels.
no code implementations • 24 May 2022 • Binwei Yao, Chao Shi, Likai Zou, Lingfeng Dai, Mengyue Wu, Lu Chen, Zhen Wang, Kai Yu
In a depression-diagnosis-directed clinical session, doctors initiate a conversation with ample emotional support that guides the patients to expose their symptoms based on clinical diagnosis criteria.
no code implementations • 16 May 2022 • Yang Liu, Xiaoqi Wang, Xi Wang, Zhen Wang, Jürgen Kurths
We assume that the state of a number of nodes in a network could be investigated if necessary, and study what configuration of those nodes could facilitate a better solution for the diffusion-source-localization (DSL) problem.
1 code implementation • 15 Apr 2022 • Linyi Yang, Zhen Wang, Yuxiang Wu, Jie Yang, Yue Zhang
Understanding causality is key to the success of NLP applications, especially in high-stakes domains.
1 code implementation • 12 Apr 2022 • Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
The incredible development of federated learning (FL) has benefited various tasks in the domains of computer vision and natural language processing, and the existing frameworks such as TFF and FATE has made the deployment easy in real-world applications.
1 code implementation • 11 Apr 2022 • Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
Although remarkable progress has been made by existing federated learning (FL) platforms to provide infrastructures for development, these platforms may not well tackle the challenges brought by various types of heterogeneity, including the heterogeneity in participants' local data, resources, behaviors and learning goals.
1 code implementation • 6 Apr 2022 • Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang
In online adaptation phase, with the environment context inferred from few experiences collected in new environments, the policy is optimized by gradient ascent with respect to the PDVF.
no code implementations • 4 Apr 2022 • Wenhui Ren, Weikang Li, Shibo Xu, Ke Wang, Wenjie Jiang, Feitong Jin, Xuhao Zhu, Jiachen Chen, Zixuan Song, Pengfei Zhang, Hang Dong, Xu Zhang, Jinfeng Deng, Yu Gao, Chuanyu Zhang, Yaozu Wu, Bing Zhang, Qiujiang Guo, Hekang Li, Zhen Wang, Jacob Biamonte, Chao Song, Dong-Ling Deng, H. Wang
Our results reveal experimentally a crucial vulnerability aspect of quantum learning systems under adversarial scenarios and demonstrate an effective defense strategy against adversarial attacks, which provide a valuable guide for quantum artificial intelligence applications with both near-term and future quantum devices.
1 code implementation • 16 Mar 2022 • Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang, Fazl Barez
However, we reveal sub-optimal collaborative behaviors also emerge with strong correlations, and simply maximizing the MI can, surprisingly, hinder the learning towards better collaboration.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
no code implementations • 10 Mar 2022 • Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang, Jianye Hao
To break this curse, we propose a unified agent permutation framework that exploits the permutation invariance (PI) and permutation equivariance (PE) inductive biases to reduce the multiagent state space.
no code implementations • 26 Feb 2022 • Jianhua Zhao, Haiye Liang, Shulan Li, Zhiji Yang, Zhen Wang
To address the two problems, we propose RBLDA for MTS data classification, where each of the two within-class matrices is regularized via one parameter.
1 code implementation • 11 Feb 2022 • Jiwei Tian, Buhong Wang, Jing Li, Zhen Wang, Mete Ozay
To this end, we first propose a signal-specific method and a universal signal-agnostic method to attack power systems using generated adversarial examples.
no code implementations • 31 Jan 2022 • Peican Zhu, Xin Hou, Keke Tang, Zhen Wang, Feiping Nie
For feature engineering, feature selection seems to be an important research content in which is anticipated to select "excellent" features from candidate ones.
no code implementations • 11 Jan 2022 • Shoutong Wang, Jinglin Liu, Yi Ren, Zhen Wang, Changliang Xu, Zhou Zhao
However, they face several challenges: 1) the fixed-size speaker embedding is not powerful enough to capture full details of the target timbre; 2) single reference audio does not contain sufficient timbre information of the target speaker; 3) the pitch inconsistency between different speakers also leads to a degradation in the generated voice.
no code implementations • CVPR 2022 • Zhen Wang, Yunhao Ba, Pradyumna Chari, Oyku Deniz Bozkurt, Gianna Brown, Parth Patwa, Niranjan Vaddi, Laleh Jalilian, Achuta Kadambi
Accelerated by telemedicine, advances in Remote Photoplethysmography (rPPG) are beginning to offer a viable path toward non-contact physiological measurement.
no code implementations • CVPR 2022 • Zhen Wang, Liu Liu, Yiqun Duan, Yajing Kong, DaCheng Tao
Continual learning methods aim at training a neural network from sequential data with streaming labels, relieving catastrophic forgetting.
1 code implementation • 6 Dec 2021 • Jianye Hao, Yifu Yuan, Cong Wang, Zhen Wang
Model-based reinforcement learning (MBRL) achieves significant sample efficiency in practice in comparison to model-free RL, but its performance is often limited by the existence of model prediction error.
1 code implementation • 24 Nov 2021 • Yao Lu, Wen Yang, Yunzhe Zhang, Zuohui Chen, Jinyin Chen, Qi Xuan, Zhen Wang, Xiaoniu Yang
Specifically, we model the process of class separation of intermediate representations in pre-trained DNNs as the evolution of communities in dynamic graphs.
1 code implementation • 22 Nov 2021 • Zuohui Chen, Yao Lu, Jinxuan Hu, Wen Yang, Qi Xuan, Zhen Wang, Xiaoniu Yang
Understanding the black-box representations in Deep Neural Networks (DNN) is an essential problem in deep learning.
1 code implementation • ACL 2022 • Nikolay Malkin, Zhen Wang, Nebojsa Jojic
Long-range semantic coherence remains a challenge in automatic language generation and understanding.
no code implementations • 29 Sep 2021 • Weirui Kuang, Zhen Wang, Yaliang Li, Zhewei Wei, Bolin Ding
We get rid of these obstacles by exploiting the complementary natures of GNN and Transformer, and trade the fine-grained long-range information for the efficiency of Transformer.
no code implementations • ICLR 2022 • Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding
However, our further studies uncover that the design of the loss function of Flooding can lead to a discrepancy between its objective and implementation, and cause the instability issue.
no code implementations • 14 Sep 2021 • Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang
In addition to algorithmic analysis, we provide a comprehensive and unified empirical comparison of different exploration methods for DRL on a set of commonly used benchmarks.
1 code implementation • ICLR 2022 • Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
Discrete-continuous hybrid action space is a natural setting in many practical problems, such as robot control and game AI.
1 code implementation • LREC 2022 • Zhen Wang, Xu Shan, Xiangxie Zhang, Jie Yang
Current news datasets merely focus on text features on the news and rarely leverage the feature of images, excluding numerous essential features for news classification.
Ranked #1 on
News Classification
on N15News
no code implementations • 9 Aug 2021 • Zhen Wang, Kaihua Xi, Aijie Cheng, Hai Xiang Lin, André C. M. Ran, Jan H. van Schuppen, Chenghui Zhang
The synchronization of power generators is an important condition for the proper functioning of a power system, in which the fluctuations in frequency and the phase angle differences between the generators are sufficiently small when subjected to stochastic disturbances.
no code implementations • SEMEVAL 2021 • Zhen Wang, Hongjie Fan, Junfei Liu
This paper describes the system submitted to SemEval 2021 Task 5: Toxic Spans Detection.
no code implementations • 10 Jun 2021 • Yunhao Ba, Zhen Wang, Kerim Doruk Karinca, Oyku Deniz Bozkurt, Achuta Kadambi
Camera-based remote photoplethysmography (rPPG) provides a non-contact way to measure physiological signals (e. g., heart rate) using facial videos.
no code implementations • 18 Apr 2021 • Zhen Wang, Xiangxie Zhang, Yicong Tan
Measuring sentence similarity is a key research area nowadays as it allows machines to better understand human languages.
1 code implementation • 17 Apr 2021 • Zhen Wang, Shan-Shan Wang, Lan Bai, Wen-Si Wang, Yuan-Hai Shao
In semi-supervised fuzzy clustering, this paper extends the traditional pairwise constraint (i. e., must-link or cannot-link) to fuzzy pairwise constraint.
no code implementations • 28 Jan 2021 • Zhen Wang, Cheryl Yang, Liwei Liu, Yiqiang Q. Zhao
The numerical scenarios illustrate the influence of parameters on the equilibrium strategy and socially optimal strategy under two information levels.
Probability 60K25, 91B50, 91A35
no code implementations • 6 Jan 2021 • Rong Wang, Yihang Lu, Qianrong Zhang, Feiping Nie, Zhen Wang, Xuelong Li
To alleviate this problem, we proposed a novel ensemble and random collaborative representation-based detector (ERCRD) for HAD, which comprises two closely related stages.
no code implementations • 1 Jan 2021 • Zhen Wang, Liu Liu, Yiqun Duan, DaCheng Tao
In this work, we formulate and study few-shot streaming label learning (FSLL), which models emerging new labels with only a few annotated examples by utilizing the knowledge learned from past labels.
no code implementations • 18 Dec 2020 • Jinyin Chen, Zhen Wang, Haibin Zheng, Jun Xiao, Zhaoyan Ming
This work proposes a generic evaluation metric ROBY, a novel attack-independent robustness measure based on the model's decision boundaries.
1 code implementation • 9 Dec 2020 • Qi Zhou, Haipeng Chen, Yitao Zheng, Zhen Wang
As one of the most powerful topic models, Latent Dirichlet Allocation (LDA) has been used in a vast range of tasks, including document understanding, information retrieval and peer-reviewer assignment.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Zhen Wang, Siwei Rao, Jie Zhang, Zhen Qin, Guangjian Tian, Jun Wang
However, question generation is actually a one-to-many problem, as it is possible to raise questions with different focuses on contexts and various means of expression.
no code implementations • 26 Oct 2020 • Linlin Hou, Ji Zhang, Ou wu, Ting Yu, Zhen Wang, Zhao Li, Jianliang Gao, Yingchun Ye, Rujing Yao
We finally apply our model on PAKDD papers published from 2009-2019 to mine insightful results from scientific papers published in a longer time span.
no code implementations • 23 Oct 2020 • Hanshuang Tong, Yun Zhou, Zhen Wang
Knowledge tracing is a fundamental task in the computer-aid educational system.
no code implementations • 23 Oct 2020 • Zhen Wang, Ben Teng, Yun Zhou, Hanshuang Tong, Guangtong Liu
We assume that the characteristics matrix of students' is composed of two parts: one is a low-rank matrix representing the common characteristics of students; the other is a sparse matrix representing individual characteristics of students.
1 code implementation • 12 Oct 2020 • Zhen Wang, Qiansheng Wang, Chengguo Lv, Xue Cao, Guohong Fu
Although stance detection has made great progress in the past few years, it is still facing the problem of unseen targets.
1 code implementation • 10 Oct 2020 • Qiansheng Wang, Yuxin Liu, Chengguo Lv, Zhen Wang, Guohong Fu
Open-domain response generation is the task of generating sensible and informative re-sponses to the source sentence.
no code implementations • 29 Jul 2020 • Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei. Lin, Jingren Zhou
Then we instantiate this search strategy by optimizing both a dedicated graph neural network (GNN) and the adjacency tensor associated with the defined feature graph.
no code implementations • 13 Jun 2020 • Hanshuang Tong, Zhen Wang, Yun Zhou, Shiwei Tong, Wenyuan Han, Qi Liu
To solve the above problems, we propose a hierarchical graph knowledge tracing model called HGKT to explore the latent hierarchical relations between exercises.
1 code implementation • CVPR 2020 • Zhen Wang, Guosheng Hu, Qinghua Hu
Label noise may significantly degrade the performance of Deep Neural Networks (DNNs).
1 code implementation • ACL 2020 • Zhen Wang, Jennifer Lee, Simon Lin, Huan Sun
Nowadays, the interpretability of machine learning models is becoming increasingly important, especially in the medical domain.
1 code implementation • 28 Feb 2020 • Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, Yuan Qi
Additionally, among the network, only very few of the users are labelled, which also poses a great challenge for only utilizing labeled data to achieve a satisfied performance on fraud detection.
1 code implementation • 23 Feb 2020 • Wei Ye, Zhen Wang, Rachel Redberg, Ambuj Singh
At the heart of Tree++ is a graph kernel called the path-pattern graph kernel.
no code implementations • 17 Feb 2020 • Lan Bai, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng
In this paper, we propose a Multiple Flat Projections Clustering (MFPC) to deal with cross-manifold clustering problems.
no code implementations • 4 Feb 2020 • Yuting Hu, Zhen Wang, Ghassan AlRegib
In this paper, we present an efficient and distinctive local descriptor, namely block intensity and gradient difference (BIGD).
1 code implementation • 13 Jan 2020 • Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei. Lin, Jingren Zhou
Motivated by the necessity and benefits of task-oriented BERT compression, we propose a novel compression method, AdaBERT, that leverages differentiable Neural Architecture Search to automatically compress BERT into task-adaptive small models for specific tasks.
no code implementations • 18 Oct 2019 • Manirupa Das, Zhen Wang, Evan Jaffe, Madhuja Chattopadhyay, Eric Fosler-Lussier, Rajiv Ramnath
Online customer reviews on large-scale e-commerce websites, represent a rich and varied source of opinion data, often providing subjective qualitative assessments of product usage that can help potential customers to discover features that meet their personal needs and preferences.
1 code implementation • 17 Sep 2019 • Hui Hu, Yijun Liu, Zhen Wang, Chao Lan
In this paper, we propose a distributed fair learning framework for protecting the privacy of demographic data.
1 code implementation • 21 Jun 2019 • Zhen Wang, Xiang Yue, Soheil Moosavinasab, Yungui Huang, Simon Lin, Huan Sun
To solve the problem, we propose a new framework SurfCon that leverages two important types of information in the privacy-aware clinical data, i. e., the surface form information, and the global context information for synonym discovery.
4 code implementations • 12 Jun 2019 • Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun
Our experimental results demonstrate that the recent graph embedding methods achieve promising results and deserve more attention in the future biomedical graph analysis.
1 code implementation • 11 Mar 2019 • Ke Sun, Piotr Koniusz, Zhen Wang
We try to minimize the loss wrt the perturbed $G+\Delta{G}$ while making $\Delta{G}$ to be effective in terms of the Fisher information of the neural network.
1 code implementation • 7 Feb 2019 • Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty, Jennifer Hicks, Sean F. Carroll, Bo Zhou, Hongsheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaśkowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy Watson, Marcel Salathé, Sergey Levine, Scott Delp
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a given time-varying velocity vector.
no code implementations • 30 Jan 2019 • Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi, Motaz Al Farraj, Zhen Wang, Asjad Amin, Mohamed Deriche, Ghassan AlRegib
It is our hope that this comparative study will help acquaint the seismic interpretation community with the many available powerful image texture analysis techniques, providing more alternative attributes for their seismic exploration.
no code implementations • 26 Jan 2019 • Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu
In this paper, we propose a general model for plane-based clustering.
no code implementations • 19 Dec 2018 • Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi, Yuting Hu, Zhen Wang, Motaz Alfarraj, Ghassan AlRegib, Asjad Amin, Mohamed Deriche, Suhail Al-Dharrab, Haibin Di
We focus on spatial attributes in this study and examine them in a new application for seismic interpretation, i. e., seismic volume labeling.
no code implementations • 10 Dec 2018 • Zhen Wang, Xu Chen, Chun-Na Li, Yuan-Hai Shao
Traditional plane-based clustering methods measure the cost of within-cluster and between-cluster by quadratic, linear or some other unbounded functions, which may amplify the impact of cost.
no code implementations • 6 Nov 2018 • Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
In this paper, we propose a novel linear discriminant analysis criterion via the Bhattacharyya error bound estimation based on a novel L1-norm (L1BLDA) and L2-norm (L2BLDA).
no code implementations • ACL 2018 • Zhen Wang, Jiachen Liu, Xinyan Xiao, Yajuan Lyu, Tian Wu
While sophisticated neural-based techniques have been developed in reading comprehension, most approaches model the answer in an independent manner, ignoring its relations with other answer candidates.
no code implementations • 3 Mar 2018 • Hongwei Ge, Mingde Zhao, Liang Sun, Zhen Wang, Guozhen Tan, Qiang Zhang, C. L. Philip Chen
This paper proposes a many-objective optimization algorithm with two interacting processes: cascade clustering and reference point incremental learning (CLIA).
no code implementations • 23 Jan 2018 • Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng
However, 2DLDA may encounter the singularity issue theoretically and the sensitivity to outliers.
3 code implementations • 18 Dec 2017 • Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, Stephen Paul Smolley
To overcome such a problem, we propose in this paper the Least Squares Generative Adversarial Networks (LSGANs) which adopt the least squares loss for both the discriminator and the generator.
no code implementations • 19 Apr 2017 • Zhen Wang, Yuan-Hai Shao, Lan Bai, Li-Ming Liu, Nai-Yang Deng
In this paper, stochastic gradient descent algorithm is investigated to twin support vector machines for classification.
24 code implementations • ICCV 2017 • Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, Stephen Paul Smolley
To overcome such a problem, we propose in this paper the Least Squares Generative Adversarial Networks (LSGANs) which adopt the least squares loss function for the discriminator.