Yi Chang

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 164

Top Venues

CoRR

WWW

IEEE Trans. Knowl. Data Eng.

CIKM

Publications

Qiang Huang, Jing Ma, Jundong Li, Ruocheng Guo, Huiyan Sun, Yi Chang
Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Linlin You, Zihan Guo, Bingran Zuo, Yi Chang, Chau Yuen
SLMFed: A Stage-Based and Layerwise Mechanism for Incremental Federated Learning to Assist Dynamic and Ubiquitous IoT. IEEE Internet Things J. 11 (9) (2024)
Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective. KDD (2024)
Linlin You, Sheng Liu, Tao Wang, Bingran Zuo, Yi Chang, Chau Yuen
AiFed: An Adaptive and Integrated Mechanism for Asynchronous Federated Data Mining. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang
Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom. WWW (2024)
Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). CoRR (2024)
Tianyi Liu, Hechang Chen, Jifeng Hu, Zhejian Yang, Bo Yu, Xinqi Du, Yinxiao Miao, Yi Chang
Generalized multi-agent competitive reinforcement learning with differential augmentation. Expert Syst. Appl. 238 (Part C) (2024)
Kai Guo, Zewen Liu, Zhikai Chen, Hongzhi Wen, Wei Jin, Jiliang Tang, Yi Chang
Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness. CoRR (2024)
Hongyang Jiang, Yuezhu Wang, Chaoyi Yin, Hao Pan, Liqun Chen, Ke Feng, Yi Chang, Huiyan Sun
SLIVER: Unveiling large scale gene regulatory networks of single-cell transcriptomic data through causal structure learning and modules aggregation. Comput. Biol. Medicine 178 (2024)
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. CoRR (2024)
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective. CoRR (2024)
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. ICLR (2024)
Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. CoRR (2024)
Xu Wang, Cheng Li, Yi Chang, Jindong Wang, Yuan Wu
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli. CoRR (2024)
Zhiwei Yang, Jing Ma, Hechang Chen, Jiawei Zhang, Yi Chang
Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang
Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom. CoRR (2024)
Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). ACL (Findings) (2024)
Yu Wang, Liang Hu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Zhiwei Yang, Jing Ma, Kang Yang, Huiru Lin, Hechang Chen, Ruichao Yang, Yi Chang
CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy. Inf. Process. Manag. 61 (2) (2024)
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
UADB: Unsupervised Anomaly Detection Booster. ICDE (2023)
Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Yi Chang
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Xueqing Ma, Xiaochi Wei, Yixing Gao, Runyang Feng, Dawei Yin, Yi Chang
Knowing Before Seeing: Incorporating Post-retrieval Information into Pre-retrieval Query Intention Classification. KSEM (2) (2023)
Kai Guo, Xiaofeng Cao, Zhining Liu, Yi Chang
Taming over-smoothing representation on heterophilic graphs. Inf. Sci. 647 (2023)
Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
Learning Generalizable Agents via Saliency-guided Features Decorrelation. NeurIPS (2023)
Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu
Web-based Long-term Spine Treatment Outcome Forecasting. KDD (2023)
Yixiang Shan, Jielong Yang, Xiangtao Li, Xionghu Zhong, Yi Chang
GLAE: A graph-learnable auto-encoder for single-cell RNA-seq analysis. Inf. Sci. 621 (2023)
Yanchi Su, Haoran Zhu, Ka-Chun Wong, Yi Chang, Xiangtao Li
Hyperspectral Image Denoising via Weighted Multidirectional Low-Rank Tensor Recovery. IEEE Trans. Cybern. 53 (5) (2023)
Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning. CoRR (2022)
Yunhe Wang, Xiangtao Li, Ka-Chun Wong, Yi Chang, Shengxiang Yang
Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification. IEEE Trans. Cybern. 52 (10) (2022)
Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang
FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification. CoRR (2022)
Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection. CoRR (2022)
Zhepei Wei, Yue Wang, Jinnan Li, Zhining Liu, Erxin Yu, Yuan Tian, Xin Wang, Yi Chang
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning. AACL/IJCNLP (1) (2022)
Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. EMNLP (2022)
Yuanbo Xu, En Wang, Yongjian Yang, Yi Chang
A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
Jiashu Zhao, Jimmy Xiangji Huang, Hongbo Deng, Yi Chang, Long Xia
Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization. ACM Trans. Inf. Syst. 40 (3) (2022)
Qiang Huang, Jing Ma, Jundong Li, Huiyan Sun, Yi Chang
SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training. ECML/PKDD (4) (2022)
Linlin You, Sheng Liu, Yi Chang, Chau Yuen
A Triple-Step Asynchronous Federated Learning Mechanism for Client Activation, Interaction Optimization, and Aggregation Enhancement. IEEE Internet Things J. 9 (23) (2022)
Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang
FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification. EMNLP (2022)
Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. CoRR (2022)
Jinge Qie, Yixing Gao, Runyang Feng, Xin Wang, Jielong Yang, Esha Dasgupta, Hyung Jin Chang, Yi Chang
Cross-Domain Representation Learning for Clothes Unfolding in Robot-Assisted Dressing. ECCV Workshops (6) (2022)
Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Jielong Yang, Haiyin Piao, Zhixiao Sun, Bei Jiang, Yi Chang
Sigmoidally Preconditioned Off-policy Learning: a new exploration method for reinforcement learning. CoRR (2022)
Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang
Orthogonal Graph Neural Networks. AAAI (2022)
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. CoRR (2021)
Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang
Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks. CoRR (2021)
Tung-Yao Hsu, Yi Chang, Ming-An Lee, Ren-Fen Wu, Shih-Chun Hsiao
Predicting Skipjack Tuna Fishing Grounds in the Western and Central Pacific Ocean Based on High-Spatial-Temporal-Resolution Satellite Data. Remote. Sens. 13 (5) (2021)
Zhining Liu, Zhepei Wei, Erxin Yu, Qiang Huang, Kai Guo, Boyang Yu, Zhaonian Cai, Hangting Ye, Wei Cao, Jiang Bian, Pengfei Wei, Jing Jiang, Yi Chang
IMBENS: Ensemble Class-imbalanced Learning in Python. CoRR (2021)
Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang
HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition. EMNLP (Findings) (2021)
Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. CoRR (2021)
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. WWW (2021)
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. SIGIR (2021)
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation. CoRR (2021)
Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang
Unbiased Learning to Rank in Feeds Recommendation. WSDM (2021)
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. EMNLP (Findings) (2021)
Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. AAAI (2020)
Erxin Yu, Yantao Jia, Yuan Tian, Yi Chang
A Two-Level Noise-Tolerant Model for Relation Extraction with Reinforcement Learning. ICKG (2020)
Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang
Attention-based Multi-level Feature Fusion for Named Entity Recognition. IJCAI (2020)
Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Dawei Yin, Yi Chang
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. CoRR (2020)
Erxin Yu, Yantao Jia, Shang Wang, Fengfu Li, Yi Chang
Context and Type Enhanced Representation Learning for Relation Extraction. ICKG (2020)
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
Semantic Triple Encoder for Fast Open-Set Link Prediction. CoRR (2020)
Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang
Learning Signed Network Embedding via Graph Attention. AAAI (2020)
Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. CoRR (2020)
Erxin Yu, Wenjuan Han, Yuan Tian, Yi Chang
ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction. COLING (2020)
Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. NeurIPS (2020)
Sili Huang, Bo Yang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang
MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning. KSEM (2) (2020)
Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
Self-paced Ensemble for Highly Imbalanced Massive Data Classification. ICDE (2020)
Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. ICDM (2020)
Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. ACL (2020)
Suthee Chaidaroon, Dae Hoon Park, Yi Chang, Yi Fang
node2hash: Graph aware deep semantic text hashing. Inf. Process. Manag. 57 (6) (2020)
Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai
JIM: Joint Influence Modeling for Collective Search Behavior. CoRR (2019)
Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
Self-paced Ensemble for Highly Imbalanced Massive Data Classification. CoRR (2019)
Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang
A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations. CoRR (2019)
Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang
Balance in Signed Bipartite Networks. CoRR (2019)
Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang
Balance in Signed Bipartite Networks. CIKM (2019)
Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang
Disentangling Aspect and Opinion Words in Sentiment Analysis Using Lifelong PU Learning. NFMCP@PKDD/ECML (2019)
Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. CIKM (2019)
Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. CoRR (2019)
Zhepei Wei, Yantao Jia, Yuan Tian, Mohammad Javad Hosseini, Mark Steedman, Yi Chang
Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model. CoRR (2019)
Gaurav Pandey, Shuaiqiang Wang, Zhaochun Ren, Yi Chang
Vectors of Pairwise Item Preferences. ECIR (1) (2019)
Dae Hoon Park, Yi Chang
Adversarial Sampling and Training for Semi-Supervised Information Retrieval. WWW (2019)
Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang
Learning Network Embedding with Community Structural Information. IJCAI (2019)
Hongyang Jiang, Qiang Huang, Liang Chen, Zhi Li, Ying Xu, Huiyan Sun, Yi Chang
Multi-Classification of Cancer Samples Based on Co-Expression Analyses. BIBM (2019)
Chao-Lin Liu, Yi Chang
Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty. CoRR (2019)
Wenfei Cao, Yi Chang, Guodong Han, Junbing Li
Destriping Remote Sensing Image via Low-Rank Approximation and Nonlocal Total Variation. IEEE Geosci. Remote. Sens. Lett. 15 (6) (2018)
Chao-Lin Liu, Yi Chang
Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty. DH (2018)
Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu
Understanding and Predicting Delay in Reciprocal Relations. WWW (2018)
Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka, Süleyman Cenk Sahinalp, Predrag Radivojac, Filippo Menczer, Yi Chang
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. IEEE Trans. Knowl. Data Eng. 30 (7) (2018)
Dae Hoon Park, Chiu Man Ho, Yi Chang, Huaqing Zhang
Gradient-Coherent Strong Regularization for Deep Neural Networks. CoRR (2018)
Dae Hoon Park, Yi Chang
Adversarial Sampling and Training for Semi-Supervised Information Retrieval. CoRR (2018)
Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, Yi Chang
Target-Sensitive Memory Networks for Aspect Sentiment Classification. ACL (1) (2018)
Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu, Yi Chang
Document Modeling with External Attention for Sentence Extraction. ACL (1) (2018)
Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
Zero-shot User Intent Detection via Capsule Neural Networks. CoRR (2018)
Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai
JIM: Joint Influence Modeling for Collective Search Behavior. CIKM (2018)
Denghao Ma, Yueguo Chen, Kevin Chen-Chuan Chang, Xiaoyong Du, Chuanfei Xu, Yi Chang
Leveraging Fine-Grained Wikipedia Categories for Entity Search. WWW (2018)
Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei
Optimizing Whole-Page Presentation for Web Search. ACM Trans. Web 12 (3) (2018)
Chiu Man Ho, Dae Hoon Park, Wei Yang, Yi Chang
Sequenced-Replacement Sampling for Deep Learning. CoRR (2018)
Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
Zero-shot User Intent Detection via Capsule Neural Networks. EMNLP (2018)
Shuai Wang, Mianwei Zhou, Geli Fei, Yi Chang, Bing Liu
Contextual and Position-Aware Factorization Machines for Sentiment Classification. CoRR (2018)
Kai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo
Exploiting User Actions for App Recommendations. ASONAM (2018)
Fuad Issa, Marco Damonte, Shay B. Cohen, Xiaohui Yan, Yi Chang
Abstract Meaning Representation for Paraphrase Detection. NAACL-HLT (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yi Chang