Yixin Liu

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 135

Top Venues

CoRR

EMNLP

ACL (1)

IEEE Trans. Smart Grid

Publications

Zeyu Wang, Yixin Liu, Lingling Wang, Li Fu
A Mars Exploration Control Virtual Simulation Experiment Platform for Engineering Practice in Control Engineering Education. IEEE Trans. Educ. 67 (4) (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Ning Zhang, Yixin Liu, Zhongjian Li, Jun Xiang, Ruru Pan
Fabric image retrieval based on multi-modal feature fusion. Signal Image Video Process. 18 (3) (2024)
Yixin Liu, Chaohong Tan, Kunlun Wang, Wen Chen
Hybrid Task Offloading and Resource Optimization in Vehicular Edge Computing Networks. IEEE Wirel. Commun. Lett. 13 (6) (2024)
Shirui Pan, Yizhen Zheng, Yixin Liu
Integrating Graphs With Large Language Models: Methods and Prospects. IEEE Intell. Syst. 39 (1) (2024)
Yukun Huang, Yixin Liu, Raghuveer Thirukovalluru, Arman Cohan, Bhuwan Dhingra
Calibrating Long-form Generations from Large Language Models. CoRR (2024)
Yixin Liu, Zhen Liu
Smart Digital Technology Driven Experience Design of Job Seeking Social Skills Training for University Students in Campus Scenarios via Business Model Innovation. HCI (33) (2024)
Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen
Self-Supervision Improves Diffusion Models for Tabular Data Imputation. CoRR (2024)
Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua
GOODAT: Towards Test-time Graph Out-of-Distribution Detection. CoRR (2024)
Yixin Liu, Avi Singh, C. Daniel Freeman, John D. Co-Reyes, Peter J. Liu
Improving Large Language Model Fine-tuning for Solving Math Problems. CoRR (2023)
Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. CoRR (2023)
Yixin Liu, Qiangyi Li
Coverage Algorithm Based on Perceived Environment Around Nodes in Mobile Wireless Sensor Networks. Wirel. Pers. Commun. 128 (4) (2023)
Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan
On Learning to Summarize with Large Language Models as References. CoRR (2023)
Zongzheng Zhao, Yixin Liu, Li Guo, Linquan Bai, Zhongguan Wang, Chengshan Wang
Distribution Locational Marginal Pricing Under Uncertainty Considering Coordination of Distribution and Wholesale Markets. IEEE Trans. Smart Grid 14 (2) (2023)
Yixin Liu, Hongsheng Hu, Xuyun Zhang, Lichao Sun
Watermarking Text Data on Large Language Models for Dataset Copyright Protection. CoRR (2023)
Conghao Shen, Violet Z. Yao, Yixin Liu
Everybody Compose: Deep Beats To Music. CoRR (2023)
Yanteng Zhang, Xiaohai He, Yixin Liu, Charlene Zhi Lin Ong, Yan Liu, Qizhi Teng
An end-to-end multimodal 3D CNN framework with multi-level features for the prediction of mild cognitive impairment. Knowl. Based Syst. 281 (2023)
Zenghui Yuan, Yixin Liu, Kai Zhang, Pan Zhou, Lichao Sun
Backdoor Attacks to Pre-trained Unified Foundation Models. CoRR (2023)
Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Xiangru Tang, Yumo Xu, Arman Cohan, Dragomir Radev
QTSumm: A New Benchmark for Query-Focused Table Summarization. CoRR (2023)
Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan
QTSumm: Query-Focused Summarization over Tabular Data. EMNLP (2023)
Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. AAAI (2023)
Yixin Liu, Haohui Ye, Kai Zhang, Lichao Sun
Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation. CoRR (2023)
Haotian Luo, Yixin Liu, Peidong Liu, Xianggen Liu
Vector-Quantized Prompt Learning for Paraphrase Generation. CoRR (2023)
Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. ICDM (2023)
Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. AAAI (2023)
Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
SEAT: Stable and Explainable Attention. AAAI (2023)
Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu
Graph Self-Supervised Learning: A Survey. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
Improving Faithfulness for Vision Transformers. CoRR (2023)
Yijie Zhou, Kejian Shi, Wencai Zhang, Yixin Liu, Yilun Zhao, Arman Cohan
ODSum: New Benchmarks for Open Domain Multi-Document Summarization. CoRR (2023)
Qinhu Zhang, Pengrui Teng, Siguo Wang, Ying He, Zhen Cui, Zhenghao Guo, Yixin Liu, Changan Yuan, Qi Liu, De-Shuang Huang
Computational prediction and characterization of cell-type-specific and shared binding sites. Bioinform. 39 (1) (2023)
Yixin Liu, Chenrui Fan, Xun Chen, Pan Zhou, Lichao Sun
GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation. CoRR (2023)
Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Qingfeng Chen, Vincent Cheng-Siong Lee
Anomaly Detection in Dynamic Graphs via Transformer. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Conghao Tom Shen, Violet Z. Yao, Yixin Liu
MaRU: A Manga Retrieval and Understanding System Connecting Vision and Language. CoRR (2023)
Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun
Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis. CoRR (2023)
Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron Halfaker, Dragomir Radev, Ahmed Hassan Awadallah
On Improving Summarization Factual Consistency from Natural Language Feedback. ACL (1) (2023)
Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan
Towards Self-Interpretable Graph-Level Anomaly Detection. NeurIPS (2023)
Jiawen Shi, Yixin Liu, Pan Zhou, Lichao Sun
BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT. CoRR (2023)
Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla, Sunyang Fu, Xun Chen, Chen Chen, Yuyin Zhou, Xiang Li, Lifang He, Brian D. Davison, Quanzheng Li, Yong Chen, Hongfang Liu, Lichao Sun
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. CoRR (2023)
Shirui Pan, Yizhen Zheng, Yixin Liu
Integrating Graphs with Large Language Models: Methods and Prospects. CoRR (2023)
Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise. CoRR (2023)
Haotian Luo, Yixin Liu, Peidong Liu, Xianggen Liu
Vector-Quantized Prompt Learning for Paraphrase Generation. EMNLP (Findings) (2023)
Xin Zheng, Yixin Liu, Zhifeng Bao, Meng Fang, Xia Hu, Alan Wee-Chung Liew, Shirui Pan
Towards Data-centric Graph Machine Learning: Review and Outlook. CoRR (2023)
Conghao Shen, Violet Z. Yao, Yixin Liu
Everybody Compose: Deep Beats To Music. MMSys (2023)
Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. CoRR (2023)
Zhaoyu Xu, Mengjie Huang, Rui Yang, Liu Wang, Yixin Liu
Development of a 3D Modelling Gallery Based on Virtual Reality. iLRN (2023)
Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan
Towards Self-Interpretable Graph-Level Anomaly Detection. CoRR (2023)
Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. EMNLP (2023)
Yixin Liu, Kaize Ding, Jianling Wang, Vincent Lee, Huan Liu, Shirui Pan
Learning Strong Graph Neural Networks with Weak Information. CoRR (2023)
Yilun Zhao, Yitao Long, Hongjun Liu, Linyong Nan, Lyuhao Chen, Ryo Kamoi, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan
DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data. CoRR (2023)
Yixin Liu, Chenrui Fan, Pan Zhou, Lichao Sun
Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation. CoRR (2023)
Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. WSDM (2023)
Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. ACL (1) (2023)
Meng Li, Yuqian Yan, Yile Liu, Zhihao Cheng, Yixin Liu
Experience Design to Alleviate Social Anxiety in the Playground Under Smart Campus. HCI (24) (2023)
Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. CoRR (2023)
Yuanwei Wu, Xiang Li, Yixin Liu, Pan Zhou, Lichao Sun
Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts. CoRR (2023)
Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. CoRR (2023)
Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. CoRR (2023)
Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan
Learning Strong Graph Neural Networks with Weak Information. KDD (2023)
Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang
Fair Abstractive Summarization of Diverse Perspectives. CoRR (2023)
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR (2023)
Lining Zhang, Simon Mille, Yufang Hou, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Saad Mahamood, Sebastian Gehrmann, Miruna Clinciu, Khyathi Raghavi Chandu, João Sedoc
A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization. ACL (1) (2023)
Zezhou Hao, Pengchen Liang, Changyu He, Shuang Sha, Ziyuan Yang, Yixin Liu, Junfeng Shi, Zhenggang Zhu, Qing Chang
Prognostic risk assessment model and drug sensitivity analysis of colon adenocarcinoma (COAD) based on immune-related lncRNA pairs. BMC Bioinform. 23 (1) (2022)
Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
SEAT: Stable and Explainable Attention. CoRR (2022)
Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Luke Benson, Lucy Sun, Ekaterina Zubova, Yujie Qiao, Matthew Burtell, David Peng, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Shafiq R. Joty, Alexander R. Fabbri, Wojciech Kryscinski, Xi Victoria Lin, Caiming Xiong, Dragomir Radev
FOLIO: Natural Language Reasoning with First-Order Logic. CoRR (2022)
Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
Towards Unsupervised Deep Graph Structure Learning. CoRR (2022)
Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa T. Phan, Shirui Pan, Yi-Ping Phoebe Chen
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. CoRR (2022)
Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR (2022)
Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron Halfaker, Dragomir Radev, Ahmed Hassan Awadallah
On Improving Summarization Factual Consistency from Natural Language Feedback. CoRR (2022)
Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu
DataLab: A Platform for Data Analysis and Intervention. ACL (demo) (2022)
Linyong Nan, Lorenzo Jaime Yu Flores, Yilun Zhao, Yixin Liu, Luke Benson, Weijin Zou, Dragomir Radev
R2D2: Robust Data-to-Text with Replacement Detection. EMNLP (2022)
Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig
BRIO: Bringing Order to Abstractive Summarization. ACL (1) (2022)
Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev
Leveraging Locality in Abstractive Text Summarization. CoRR (2022)
Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir Radev
Leveraging Locality in Abstractive Text Summarization. EMNLP (2022)
Si Chen, Yixin Liu, Risheng Lu, Yuqian Zhou, Yi-Chieh Lee, Yun Huang
"Mirror, Mirror, on the Wall" - Promoting Self-Regulated Learning using Affective States Recognition via Facial Movements. Conference on Designing Interactive Systems (2022)
Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev
Surfer100: Generating Surveys From Web Resources, Wikipedia-style. LREC (2022)
Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. CoRR (2022)
Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu
DataLab: A Platform for Data Analysis and Intervention. CoRR (2022)
Lining Zhang, João Sedoc, Simon Mille, Yufang Hou, Sebastian Gehrmann, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Miruna Clinciu, Saad Mahamood, Khyathi Raghavi Chandu
Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization. CoRR (2022)
Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. CoRR (2022)
Linyong Nan, Lorenzo Jaime Yu Flores, Yilun Zhao, Yixin Liu, Luke Benson, Weijin Zou, Dragomir R. Radev
R2D2: Robust Data-to-Text with Replacement Detection. CoRR (2022)
Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig
BRIO: Bringing Order to Abstractive Summarization. CoRR (2022)
Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. CoRR (2022)
Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. CoRR (2022)
Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
Towards Unsupervised Deep Graph Structure Learning. WWW (2022)
Maomao Chi, Jing Zhao, Rui Huang, Yuzhu Li, Yixin Liu
Digital business strategy as an initiator of e-business value creation. Int. J. Mob. Commun. 20 (5) (2022)
Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu
Graph Neural Networks for Graphs with Heterophily: A Survey. CoRR (2022)
Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu
Cyclic label propagation for graph semi-supervised learning. World Wide Web 25 (2) (2022)
Baocheng Liu, Yixin Liu, Hu Sun, Zhongping Yang, Xianjin Huang
Analysis of the influence of train operation diagram adjustment on the working state and life of IGBT module of traction converter. IECON (2022)
Yixin Liu, Graham Neubig, John Wieting
On Learning Text Style Transfer with Direct Rewards. NAACL-HLT (2021)
Jin Li, Yixin Liu, Jingquan Wu
Identification and validation of a radiomic signature for predicting survival outcomes in non-small-cell lung cancer treated with radiation therapy. ICMLA (2021)
Yixin Liu, Yong Guo, Jiaxin Guo, Luoqian Jiang, Jian Chen
Conditional Automated Channel Pruning for Deep Neural Networks. IEEE Signal Process. Lett. 28 (2021)
Yixin Liu, Jiaxin Guo, Jieyang Dong, Luoqian Jiang, Haoyuan Ouyang
Priority prediction of Asian Hornet sighting report using machine learning methods. CoRR (2021)
Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir R. Radev
Surfer100: Generating Surveys From Web Resources on Wikipedia-style. CoRR (2021)
Jiaming Liang, Yichuan Wu, Justin K. Yim, Huimin Chen, Zicong Miao, Hanxiao Liu, Ying Liu, Yixin Liu, Dongkai Wang, Wenying Qiu, Zhichun Shao, Min Zhang, Xiaohao Wang, Junwen Zhong, Liwei Lin
Electrostatic footpads enable agile insect-scale soft robots with trajectory control. Sci. Robotics 6 (55) (2021)
Yixin Liu, Pengfei Liu
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization. ACL/IJCNLP (2) (2021)
Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. CIKM (2021)
Kai Zhou, Yixin Liu
Early-Stage Gas Identification Using Convolutional Long Short-Term Neural Network with Sensor Array Time Series Data. Sensors 21 (14) (2021)
Yixin Liu, James Ho, Yan Zhang
Reforming and Practicing of the Course Embedded System Design with CDIO Approaching. ICISCAE (ACM) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yixin Liu