1 code implementation • 19 Mar 2024 • Yihong Luo, Xiaolong Chen, Jing Tang
We introduce YOSO, a novel generative model designed for rapid, scalable, and high-fidelity one-step image synthesis.
1 code implementation • 23 Dec 2023 • Zhangli Lu, Chuqi Lei, Kaili Wang, Libo Qin, Jing Tang, Min Li
DTIAM, for the first time, provides a unified framework for accurate and robust prediction of drug-target interactions, binding affinities, and activation/inhibition mechanisms.
1 code implementation • 20 Dec 2023 • Jiaxi Cui, Liuzhenghao Lv, Jing Wen, Rongsheng Wang, Jing Tang, Yonghong Tian, Li Yuan
We present a novel approach for integrating Myers-Briggs Type Indicator (MBTI) personality traits into large language models (LLMs), addressing the challenges of personality consistency in personalized AI.
1 code implementation • 22 Nov 2023 • Zhicheng Yang, Yiwei Wang, Yinya Huang, Jing Xiong, Xiaodan Liang, Jing Tang
Specifically, with AlignedCoT, we observe an average +3. 2\% improvement for \texttt{gpt-3. 5-turbo} compared to the carefully handcrafted CoT on multi-step reasoning benchmarks. Furthermore, we use AlignedCoT to rewrite the CoT text style in the training set, which improves the performance of Retrieval Augmented Generation by 3. 6\%. The source code and dataset is available at https://github. com/yangzhch6/AlignedCoT
1 code implementation • 7 Nov 2023 • Yihong Luo, Siya Qiu, Xingjian Tao, Yujun Cai, Jing Tang
To address these issues, we introduce a conditional EBM for calibrating the generative direction of VAE during training, without requiring it for the generation at test time.
no code implementations • 21 Oct 2023 • Tianyuan Jin, Yu Yang, Jing Tang, Xiaokui Xiao, Pan Xu
Based on Tri-BBAI, we further propose the almost optimal batched best arm identification (Opt-BBAI) algorithm, which is the first algorithm that achieves the near-optimal sample and batch complexity in the non-asymptotic setting (i. e., $\delta>0$ is arbitrarily fixed), while enjoying the same batch and sample complexity as Tri-BBAI when $\delta$ tends to zero.
1 code implementation • 4 Oct 2023 • Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang
Dual Queries first query LLM to obtain LLM-generated knowledge such as CoT, then query the retriever to obtain the final exemplars via both question and the knowledge.
no code implementations • 21 Aug 2023 • Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Aakas Zhiyuli, Hanxiao Li
Submodular maximization has found extensive applications in various domains within the field of artificial intelligence, including but not limited to machine learning, computer vision, and natural language processing.
1 code implementation • 22 May 2023 • Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen
In principle, textual context determines the ground-truth relation and the RE models should be able to correctly identify the relations reflected by the textual context.
1 code implementation • 7 May 2023 • Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao
Motivated by it, we propose to use the local similarity (LocalSim) to learn node-level weighted fusion, which can also serve as a plug-and-play module.
no code implementations • 30 Nov 2022 • Jing Tang, Bo Tao, Zeyu Gong, Zhouping Yin
Based on the drastic changes we found of the generalization error bound under different adversarial attacks and different training states, we proposed an adaptive training method which can greatly improve the image manipulation ability of multi-scale GANs.
1 code implementation • 2 Jul 2022 • Huimin Zhu, Renyi Zhou, Jing Tang, Min Li
The rational design of novel molecules with desired bioactivity is a critical but challenging task in drug discovery, especially when treating a novel target family or understudied targets.
no code implementations • 16 Jun 2022 • Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramon Vinas Torne, Evis Sala, Pietro Lio, Mishal Patel, AIX-COVNET Collaboration, James H. F. Rudd, Tuomas Mirtti, Antti Rannikko, John A. D. Aston, Jing Tang, Carola-Bibiane Schönlieb
Classifying samples in incomplete datasets is a common aim for machine learning practitioners, but is non-trivial.
no code implementations • 6 Mar 2022 • Yinghui Pan, Hanyi Zhang, Yifeng Zeng, Biyang Ma, Jing Tang, Zhong Ming
In this article, we investigate into diversifying behaviors of other agents in the subject agent's decision model prior to their interactions.
1 code implementation • 3 Dec 2021 • Ali Amiryousefi, Ville Kinnula, Jing Tang
The marginal Bayesian predictive classifiers (mBpc) as opposed to the simultaneous Bayesian predictive classifiers (sBpc), handle each data separately and hence tacitly assumes the independence of the observations.
no code implementations • 1 Dec 2021 • Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi
Representing a label distribution as a one-hot vector is a common practice in training node classification models.
no code implementations • 31 Oct 2021 • Jehad Aldahdooh, Ziaurrehman Tanoli, Jing Tang
Drug-target interactions (DTIs) are critical for drug discovery and repurposing, which are often manually extracted from the experimental articles.
Ranked #1 on DrugProt on DrugProt
2 code implementations • NeurIPS 2021 • Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang
Moreover, the positional features are embedded through a novel cyclic positional encoding (CPE) method to allow Transformer to effectively capture the circularity and symmetry of VRP solutions (i. e., cyclic sequences).
1 code implementation • 2 Aug 2021 • Zhen Li, Jing Tang, Deqing Zou, Qian Chen, Shouhuai Xu, Chao Zhang, Yichen Li, Hai Jin
Automatically detecting software vulnerabilities in source code is an important problem that has attracted much attention.
no code implementations • 23 Sep 2020 • Kanglin Hsieh, Yinyin Wang, Luyao Chen, Zhongming Zhao, Sean Savitz, Xiaoqian Jiang, Jing Tang, Yejin Kim
In summary, we demonstrated that the integration of extensive interactions, deep neural networks, and rigorous validation can facilitate the rapid identification of candidate drugs for COVID-19 treatment.
no code implementations • 12 Aug 2020 • Jing Tang, Xueyan Tang, Andrew Lim, Kai Han, Chongshou Li, Junsong Yuan
Second, we enhance the modified greedy algorithm to derive a data-dependent upper bound on the optimum.
1 code implementation • 11 Aug 2020 • Xinke Li, Chongshou Li, Zekun Tong, Andrew Lim, Junsong Yuan, Yuwei Wu, Jing Tang, Raymond Huang
Based on it, we formulate a hierarchical learning problem for 3D point cloud segmentation and propose a measurement evaluating consistency across various hierarchies.
no code implementations • 27 May 2020 • Bilian Chen, Biyang Ma, Yifeng Zeng, Langcai Cao, Jing Tang
It is a concise knowledge representation that is well studied in a single-agent planning problem domain.
2 code implementations • 14 Apr 2020 • Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim
In this paper, we propose the first practical algorithm for the adaptive IM problem that could provide the worst-case approximation guarantee of $1-\mathrm{e}^{\rho_b(\varepsilon-1)}$, where $\rho_b=1-(1-1/b)^b$ and $\varepsilon \in (0, 1)$ is a user-specified parameter.
Social and Information Networks
no code implementations • 13 Feb 2020 • Funan Mu, Zhenting Yu, LiFeng Wang, Yequan Wang, Qingyu Yin, Yibo Sun, Liqun Liu, Teng Ma, Jing Tang, Xing Zhou
In addition, with the help of tokens, our model is able to extract overlapped keyphrases.
no code implementations • 29 Dec 2019 • Yu An, Ying Ren, Jing Tang, Jun Chen, Baisong Chang
Metal nanoclusters (NCs), typically consisting of a few to tens of metal atoms, bridge the gap between organometallic compounds and crystalline metal nanoparticles.
1 code implementation • 24 Sep 2019 • Alberto Pessia, Jing Tang
To overcome this difficulty we will rewrite the transition probability in terms of a Gaussian hypergeometric function and subsequently obtain a three-term recurrence relation for its accurate evaluation.
Numerical Analysis Numerical Analysis Probability Methodology 65Q30 (Primary), 60J80 (Secondary), 33C05, 62F10, 62M05
no code implementations • ACL 2019 • Liqun Liu, Funan Mu, Pengyu Li, Xin Mu, Jing Tang, Xingsheng Ai, Ran Fu, LiFeng Wang, Xing Zhou
In this paper, we introduce NeuralClassifier, a toolkit for neural hierarchical multi-label text classification.
General Classification Hierarchical Multi-label Classification +4
no code implementations • 18 Sep 2018 • Reda Younsi, Jing Tang, Liisa Holm
Specialised fast algorithms for efficient bubble search are needed for coloured de bruijn graph variant calling applications.
Computational Engineering, Finance, and Science Genomics
1 code implementation • ACL 2018 • Wan-Ting Hsu, Chieh-Kai Lin, Ming-Ying Lee, Kerui Min, Jing Tang, Min Sun
On the one hand, a simple extractive model can obtain sentence-level attention with high ROUGE scores but less readable.
Ranked #39 on Abstractive Text Summarization on CNN / Daily Mail