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ORCIDYi Chang 0001
Person information
- affiliation: Jilin University, School of Artificial Intelligence, China
- affiliation (former): Huawei Research America
- affiliation (former): Yahoo Research
Other persons with the same name
- Yi Chang — disambiguation page
- Yi Chang 0002
![[0000-0001-8542-5937]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8542-5937")
— Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, Wuhan, China - Yi Chang 0003 — National Tsing Hua University, Department of Electrical Engineering, Hsinchu, Taiwan
- Yi Chang 0004 — Imperial College London, Group on Language, Audio, and Music, GLAM, Department of Computing, UK
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Journal Articles
- 2024
[j55]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: 108690 (2024)- [j54]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): 121760 (2024) - [j53]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): 16364-16381 (2024) - [j52]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): 103657 (2024) - [j51]Yang Tao, Kai Guo, Yizhen Zheng, Shirui Pan, Xiaofeng Cao, Yi Chang:
Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective. Inf. Sci. 657: 119952 (2024) - [j50]Bin Gu, Xiyuan Wei, Hualin Zhang, Yi Chang, Heng Huang:
Obtaining Lower Query Complexities Through Lightweight Zeroth-Order Proximal Gradient Algorithms. Neural Comput. 36(5): 897-935 (2024) - [j49]Xinqi Du, Hechang Chen, Che Wang, Yongheng Xing, Jielong Yang, Philip S. Yu, Yi Chang, Lifang He:
Robust multi-agent reinforcement learning via Bayesian distributional value estimation. Pattern Recognit. 145: 109917 (2024) - [j48]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): 39:1-39:45 (2024) - [j47]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): 48:1-48:21 (2024) - [j46]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): 1099-1112 (2024) - [j45]Siyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang:
Sample Efficient Offline-to-Online Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36(3): 1299-1310 (2024) - [j44]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): 4411-4427 (2024) - [j43]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): 973-984 (2024) - [j42]Bo Cheng, Ximing Li, Yi Chang:
Eliminating Negative Word Similarities for Measuring Document Distances: A Thoroughly Empirical Study on Word Mover's Distance. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7936-7948 (2024) - [j41]Zhaogeng Liu, Feng Ji, Jielong Yang, Xiaofeng Cao, Muhan Zhang, Hechang Chen, Yi Chang:
Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11720-11733 (2024) - 2023
- [j40]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [j39]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: 88-103 (2023) - [j38]Kai Guo, Xiaofeng Cao, Zhining Liu, Yi Chang:
Taming over-smoothing representation on heterophilic graphs. Inf. Sci. 647: 119463 (2023) - [j37]Yu Wang, Liang Hu, Wanfu Gao, Xiaofeng Cao, Yi Chang:
AdaNS: Adaptive negative sampling for unsupervised graph representation learning. Pattern Recognit. 136: 109266 (2023) - [j36]Zhaogeng Liu, Jielong Yang, Li Wang, Yi Chang:
A novel relation aware wrapper method for feature selection. Pattern Recognit. 140: 109566 (2023) - [j35]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): 2753-2766 (2023) - [j34]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): 6968-6972 (2023) - 2022
- [j33]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): 24199-24211 (2022) - [j32]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): 11027-11040 (2022) - [j31]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): 5126-5139 (2022) - [j30]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): 51:1-51:24 (2022) - 2021
- [j29]Shang Wang, Zhiwei Yang, Yi Chang:
Bringing order to episodes: Mining timeline in social media. Neurocomputing 450: 80-90 (2021) - [j28]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): 861 (2021) - 2020
- [j27]Suthee Chaidaroon, Dae Hoon Park, Yi Chang, Yi Fang:
node2hash: Graph aware deep semantic text hashing. Inf. Process. Manag. 57(6): 102143 (2020) - 2018
- [j26]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): 848-852 (2018) - [j25]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): 1352-1365 (2018) - [j24]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): 19:1-19:25 (2018) - 2017
- [j23]Yiqun Liu, Jian-Yun Nie, Yi Chang:
Constructing click models for search users. Inf. Retr. J. 20(1): 1-3 (2017) - [j22]Yuening Hu, Changsung Kang, Jiliang Tang, Dawei Yin, Yi Chang:
Large-Scale Location Prediction for Web Pages. IEEE Trans. Knowl. Data Eng. 29(9): 1902-1915 (2017) - [j21]Yingfei Wang, Hua Ouyang, Hongbo Deng, Yi Chang:
Learning Online Trends for Interactive Query Auto-Completion. IEEE Trans. Knowl. Data Eng. 29(11): 2442-2454 (2017) - [j20]Hongning Wang, Rui Li, Milad Shokouhi, Hang Li, Yi Chang:
Search, Mining, and Their Applications on Mobile Devices: Introduction to the Special Issue. ACM Trans. Inf. Syst. 35(4): 29:1-29:17 (2017) - 2016
- [j19]Jiliang Tang, Yi Chang, Charu C. Aggarwal, Huan Liu:
A Survey of Signed Network Mining in Social Media. ACM Comput. Surv. 49(3): 42:1-42:37 (2016) - [j18]Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu:
Lifecycle Modeling for Buzz Temporal Pattern Discovery. ACM Trans. Knowl. Discov. Data 11(2): 20:1-20:24 (2016) - 2015
- [j17]Changsung Kang, Dawei Yin, Ruiqiang Zhang, Nicolas Torzec, Jianzhang He, Yi Chang:
Learning to rank related entities in Web search. Neurocomputing 166: 309-318 (2015) - [j16]Changsung Khan, Jeehaeng Lee, Roi Blanco, Yi Chang:
Predicting primary categories of business listings for local search ranking. Neurocomputing 168: 961-969 (2015) - [j15]Makoto Yamada, Leonid Sigal, Michalis Raptis, Machiko Toyoda, Yi Chang, Masashi Sugiyama:
Cross-Domain Matching with Squared-Loss Mutual Information. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1764-1776 (2015) - [j14]Bo Long, Jiang Bian, Olivier Chapelle, Ya Zhang, Yoshiyuki Inagaki, Yi Chang:
Active Learning for Ranking through Expected Loss Optimization. IEEE Trans. Knowl. Data Eng. 27(5): 1180-1191 (2015) - 2014
- [j13]Makoto Yamada, Leonid Sigal, Yi Chang:
Domain Adaptation for Structured Regression. Int. J. Comput. Vis. 109(1-2): 126-145 (2014) - [j12]Yi Chang, Lei Tang, Yoshiyuki Inagaki, Yan Liu:
What is Tumblr: a statistical overview and comparison. SIGKDD Explor. 16(1): 21-29 (2014) - [j11]Jiang Bian, Bo Long, Lihong Li, Taesup Moon, Anlei Dong, Yi Chang:
Exploiting User Preference for Online Learning in Web Content Optimization Systems. ACM Trans. Intell. Syst. Technol. 5(2): 33:1-33:23 (2014) - [j10]Ke Zhou, Hongyuan Zha, Yi Chang, Gui-Rong Xue:
Learning the Gain Values and Discount Factors of Discounted Cumulative Gains. IEEE Trans. Knowl. Data Eng. 26(2): 391-404 (2014) - 2013
- [j9]Jiliang Tang, Yi Chang, Huan Liu:
Mining social media with social theories: a survey. SIGKDD Explor. 15(2): 20-29 (2013) - [j8]Yi Chang, Anlei Dong, Pranam Kolari, Ruiqiang Zhang, Yoshiyuki Inagaki, Fernando Diaz, Hongyuan Zha, Yan Liu:
Improving recency ranking using twitter data. ACM Trans. Intell. Syst. Technol. 4(1): 4:1-4:24 (2013) - [j7]Jiang Bian, Anlei Dong, Xiaofeng He, Srihari Reddy, Yi Chang:
User Action Interpretation for Online Content Optimization. IEEE Trans. Knowl. Data Eng. 25(9): 2161-2174 (2013) - 2012
- [j6]Jiang Bian, Yi Chang, Yun Fu, Wen-Yen Chen:
Learning to blend vitality rankings from heterogeneous social networks. Neurocomputing 97: 390-397 (2012) - [j5]Yi Chang, Jing Bai, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Zhaohui Zheng:
Multi-task learning to rank for web search. Pattern Recognit. Lett. 33(2): 173-181 (2012) - [j4]Taesup Moon, Wei Chu, Lihong Li, Zhaohui Zheng, Yi Chang:
An Online Learning Framework for Refining Recency Search Results with User Click Feedback. ACM Trans. Inf. Syst. 30(4): 20:1-20:28 (2012) - [j3]Yi Chang, Jana Diesner, Kathleen M. Carley:
Toward Automated Definition Acquisition From Operations Law. IEEE Trans. Syst. Man Cybern. Part C 42(2): 223-232 (2012) - 2009
- [j2]Yi Chang, Datong Chen, Ying Zhang, Jie Yang:
An image-based automatic Arabic translation system. Pattern Recognit. 42(9): 2127-2134 (2009) - 2007
- [j1]Datong Chen, Yi Chang, Rong Yan, Jie Yang:
Tools for Protecting the Privacy of Specific Individuals in Video. EURASIP J. Adv. Signal Process. 2007 (2007)
Conference and Workshop Papers
- 2024
- [c158]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: 4505-4524 - [c157]Tingyu Xia, Bowen Yu, Yuan Wu, Yi Chang, Chang Zhou:
Language Models can Evaluate Themselves via Probability Discrepancy. ACL (Findings) 2024: 4889-4901 - [c156]Yajing Fan, Wanli Shi, Yi Chang, Bin Gu:
Fast and Adversarial Robust Kernelized SDU Learning. AISTATS 2024: 1153-1161 - [c155]Zhou Zhai, Wanli Shi, Heng Huang, Yi Chang, Bin Gu:
Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization. AISTATS 2024: 1162-1170 - [c154]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 - [c153]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. ICML 2024 - [c152]Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu:
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. ICML 2024 - [c151]Wanli Shi, Yi Chang, Bin Gu:
Double Momentum Method for Lower-Level Constrained Bilevel Optimization. ICML 2024 - [c150]Hongyang Jiang, Yonghe Zhao, Qiang Huang, Yangkun Cao, Huiyan Sun, Yi Chang:
Estimating Individual Causal Treatment Effect by Variable Decomposition. IJCNN 2024: 1-10 - [c149]Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang:
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective. KDD 2024: 932-943 - [c148]Haozhen Zhang, Hualin Zhang, Bin Gu, Yi Chang:
Subspace Selection based Prompt Tuning with Nonconvex Nonsmooth Black-Box Optimization. KDD 2024: 4179-4190 - [c147]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: 2452-2463 - 2023
- [c146]Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Haiyin Piao, Zhixiao Sun, Zhiwei Yang, Randy Goebel, Bei Jiang, Yi Chang:
The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure. AAAI 2023: 7078-7086 - [c145]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: 2593-2606 - [c144]Yaming Guo, Kai Guo, Xiaofeng Cao, Tieru Wu, Yi Chang:
Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships. ICML 2023: 11905-11933 - [c143]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: 3082-3092 - [c142]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: 3-15 - [c141]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 - 2022
- [c140]Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang:
Orthogonal Graph Neural Networks. AAAI 2022: 3996-4004 - [c139]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. COLING 2022: 2608-2621 - [c138]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: 658-671 - [c137]Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang:
FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification. EMNLP 2022: 4746-4758 - [c136]Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang:
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. EMNLP 2022: 4937-4948 - [c135]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: 240-253 - [c134]Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun:
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning. NeurIPS 2022 - [c133]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: 400-417 - 2021
- [c132]Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang:
HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition. EMNLP (Findings) 2021: 124-132 - [c131]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: 3002-3012 - [c130]Xia Yang, Meng-Fen Chiang, Wang-Chien Lee, Yi Chang:
Cost-Effective Knowledge Graph Reasoning for Complex Factoid Questions. IJCNN 2021: 1-8 - [c129]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: 275-284 - [c128]Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang:
Unbiased Learning to Rank in Feeds Recommendation. WSDM 2021: 490-498 - [c127]Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang:
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. WWW 2021: 1737-1748 - [c126]Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang:
Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks. WWW 2021: 2466-2475 - 2020
- [c125]Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang:
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. AAAI 2020: 4182-4189 - [c124]Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang:
Learning Signed Network Embedding via Graph Attention. AAAI 2020: 4772-4779 - [c123]Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang:
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. ACL 2020: 1476-1488 - [c122]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: 1665-1676 - [c121]Erxin Yu, Yantao Jia, Shang Wang, Fengfu Li, Yi Chang:
Context and Type Enhanced Representation Learning for Relation Extraction. ICKG 2020: 329-335 - [c120]Erxin Yu, Yantao Jia, Yuan Tian, Yi Chang:
A Two-Level Noise-Tolerant Model for Relation Extraction with Reinforcement Learning. ICKG 2020: 367-373 - [c119]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: 841-852 - [c118]Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang:
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. ICDM 2020: 452-461 - [c117]Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang:
Attention-based Multi-level Feature Fusion for Named Entity Recognition. IJCAI 2020: 3594-3600 - [c116]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: 3-14 - [c115]Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang:
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. NeurIPS 2020 - 2019
- [c114]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: 197-201 - [c113]Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang:
Balance in Signed Bipartite Networks. CIKM 2019: 1221-1230 - [c112]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: 1643-1652 - [c111]Gaurav Pandey, Shuaiqiang Wang, Zhaochun Ren, Yi Chang:
Vectors of Pairwise Item Preferences. ECIR (1) 2019: 323-336 - [c110]Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang:
Learning Network Embedding with Community Structural Information. IJCAI 2019: 2937-2943 - [c109]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: 100-115 - [c108]Dae Hoon Park, Yi Chang:
Adversarial Sampling and Training for Semi-Supervised Information Retrieval. WWW 2019: 1443-1453 - 2018
- [c107]Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, Yi Chang:
Target-Sensitive Memory Networks for Aspect Sentiment Classification. ACL (1) 2018: 957-967 - [c106]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: 2020-2030 - [c105]Kai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo:
Exploiting User Actions for App Recommendations. ASONAM 2018: 139-142 - [c104]Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai:
JIM: Joint Influence Modeling for Collective Search Behavior. CIKM 2018: 637-646 - [c103]Chao-Lin Liu, Yi Chang:
Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty. DH 2018: 231-234 - [c102]Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Zero-shot User Intent Detection via Capsule Neural Networks. EMNLP 2018: 3090-3099 - [c101]Fuad Issa, Marco Damonte, Shay B. Cohen, Xiaohui Yan, Yi Chang:
Abstract Meaning Representation for Paraphrase Detection. NAACL-HLT 2018: 442-452 - [c100]Denghao Ma, Yueguo Chen, Kevin Chen-Chuan Chang, Xiaoyong Du, Chuanfei Xu, Yi Chang:
Leveraging Fine-Grained Wikipedia Categories for Entity Search. WWW 2018: 1623-1632 - [c99]Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu:
Understanding and Predicting Delay in Reciprocal Relations. WWW 2018: 1643-1652 - 2017
- [c98]Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang:
Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation. AAAI 2017: 2746-2753 - [c97]Peilin Yang, Mianwei Zhou, Yi Chang, Chengxiang Zhai, Hui Fang:
Towards Privacy-Preserving Evaluation for Information Retrieval Models Over Industry Data Sets. AIRS 2017: 210-221 - [c96]Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin:
Scaling Submodular Maximization via Pruned Submodularity Graphs. AISTATS 2017: 316-324 - [c95]Jingyuan Zhang, Chun-Ta Lu, Bokai Cao, Yi Chang, Philip S. Yu:
Connecting emerging relationships from news via tensor factorization. IEEE BigData 2017: 1223-1232 - [c94]Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu:
Attributed Network Embedding for Learning in a Dynamic Environment. CIKM 2017: 387-396 - [c93]Jiawei Zhang, Jianhui Chen, Shi Zhi, Yi Chang, Philip S. Yu, Jiawei Han:
Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation. ICDE 2017: 971-982 - [c92]Tung-Yao Hsu, Yi Chang:
Modeling the habitat suitability index of skipjack tuna (katsuwonus pelamis) in the western and central pacific ocean. IGARSS 2017: 2950-2953 - [c91]Jen-Han Yang, Yi Chang:
Feasibility study of RFID-Mounted drone application in management of oyster farms. IGARSS 2017: 3610-3613 - [c90]Chuancong Gao, Jian Pei, Jiannan Wang, Yi Chang:
Schemaless Join for Result Set Preferences. IRI 2017: 569-578 - [c89]Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang:
Convex Factorization Machine for Toxicogenomics Prediction. KDD 2017: 1215-1224 - [c88]Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu:
Signed Network Embedding in Social Media. SDM 2017: 327-335 - [c87]Chuancong Gao, Jiannan Wang, Jian Pei, Rui Li, Yi Chang:
Preference-driven similarity join. WI 2017: 97-105 - [c86]Jiawei Zhang, Jianhui Chen, Junxing Zhu, Yi Chang, Philip S. Yu:
Link Prediction with Cardinality Constraint. WSDM 2017: 121-130 - [c85]Liangda Li, Hongbo Deng, Jianhui Chen, Yi Chang:
Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes. WSDM 2017: 131-139 - [c84]Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang:
Understanding and Discovering Deliberate Self-harm Content in Social Media. WWW 2017: 93-102 - [c83]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. WWW 2017: 381-389 - [c82]Shubhra Kanti Karmaker Santu, Liangda Li, Dae Hoon Park, Yi Chang, ChengXiang Zhai:
Modeling the Influence of Popular Trending Events on User Search Behavior. WWW (Companion Volume) 2017: 535-544 - [c81]Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Ricardo Baeza-Yates, Hongyuan Zha:
Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion. WWW 2017: 539-548 - 2016
- [c80]Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu:
Recommendation with Social Dimensions. AAAI 2016: 251-257 - [c79]Jingyuan Zhang, Chun-Ta Lu, Mianwei Zhou, Sihong Xie, Yi Chang, Philip S. Yu:
HEER: Heterogeneous graph embedding for emerging relation detection from news. IEEE BigData 2016: 803-812 - [c78]Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin, Yi Chang:
Learning to Rewrite Queries. CIKM 2016: 1443-1452 - [c77]Xiaolong Wang, Jingjing Wang, Luo Jie, Chengxiang Zhai, Yi Chang:
Blind Men and The Elephant: Thurstonian Pairwise Preference for Ranking in Crowdsourcing. ICDM 2016: 509-518 - [c76]Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu:
Timeline Summarization from Social Media with Life Cycle Models. IJCAI 2016: 3698-3704 - [c75]Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han:
Learning Hostname Preference to Enhance Search Relevance. IJCAI 2016: 3903-3909 - [c74]Dawei Yin, Yuening Hu, Jiliang Tang, Tim Daly Jr., Mianwei Zhou, Hua Ouyang, Jianhui Chen, Changsung Kang, Hongbo Deng, Chikashi Nobata, Jean-Marc Langlois, Yi Chang:
Ranking Relevance in Yahoo Search. KDD 2016: 323-332 - [c73]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Positive-Unlabeled Learning in Streaming Networks. KDD 2016: 755-764 - [c72]Shan Jiang, Yuening Hu, Changsung Kang, Tim Daly Jr., Dawei Yin, Yi Chang, ChengXiang Zhai:
Learning Query and Document Relevance from a Web-scale Click Graph. SIGIR 2016: 185-194 - [c71]Neil O'Hare, Paloma de Juan, Rossano Schifanella, Yunlong He, Dawei Yin, Yi Chang:
Leveraging User Interaction Signals for Web Image Search. SIGIR 2016: 559-568 - [c70]Jianhui Chen, Tianbao Yang, Qihang Lin, Lijun Zhang, Yi Chang:
Optimal Stochastic Strongly Convex Optimization with a Logarithmic Number of Projections. UAI 2016 - [c69]Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei:
Beyond Ranking: Optimizing Whole-Page Presentation. WSDM 2016: 103-112 - [c68]Amit Goyal, Jianfeng Gao, Hongbo Deng, Yi Chang:
Query Understanding for Search on All Devices at WSDM 2016. WSDM 2016: 691-692 - [c67]Chikashi Nobata, Joel R. Tetreault, Achint Thomas, Yashar Mehdad, Yi Chang:
Abusive Language Detection in Online User Content. WWW 2016: 145-153 - [c66]Liangda Li, Hongbo Deng, Yunlong He, Anlei Dong, Yi Chang, Hongyuan Zha:
Behavior Driven Topic Transition for Search Task Identification. WWW 2016: 555-565 - [c65]Aston Zhang, Amit Goyal, Ricardo Baeza-Yates, Yi Chang, Jiawei Han, Carl A. Gunter, Hongbo Deng:
Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach. WWW 2016: 579-590 - 2015
- [c64]Wei Sun, Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang:
Causal Inference via Sparse Additive Models with Application to Online Advertising. AAAI 2015: 297-303 - [c63]Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang:
Consistent Collective Matrix Completion under Joint Low Rank Structure. AISTATS 2015 - [c62]Jingyuan Zhang, Luo Jie, Altaf Rahman, Sihong Xie, Yi Chang, Philip S. Yu:
Learning Entity Types from Query Logs via Graph-Based Modeling. CIKM 2015: 603-612 - [c61]Jiliang Tang, Chikashi Nobata, Anlei Dong, Yi Chang, Huan Liu:
Propagation-based Sentiment Analysis for Microblogging Data. SDM 2015: 577-585 - [c60]Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha, Ricardo Baeza-Yates:
Analyzing User's Sequential Behavior in Query Auto-Completion via Markov Processes. SIGIR 2015: 123-132 - [c59]Aston Zhang, Amit Goyal, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang, Carl A. Gunter, Jiawei Han:
adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback. SIGIR 2015: 143-152 - [c58]Weize Kong, Rui Li, Jie Luo, Aston Zhang, Yi Chang, James Allan:
Predicting Search Intent Based on Pre-Search Context. SIGIR 2015: 503-512 - [c57]Yi Chang:
From Web Search Relevance to Vertical Search Relevance. SIGIR 2015: 1073 - [c56]Pengyuan Wang, Wei Sun, Dawei Yin, Jian Yang, Yi Chang:
Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis. WSDM 2015: 67-76 - [c55]Dawei Yin, Chih-Chieh Hung, Rui Li, Yi Chang:
The 2nd workshop on Vertical Search Relevance at WSDM 2015. WSDM 2015: 427-428 - [c54]Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang, Marsha Meytlis:
Rethink Targeting: Detect 'Smart Cheating' in Online Advertising through Causal Inference. WWW (Companion Volume) 2015: 133-134 - 2014
- [c53]Jiliang Tang, Xia Hu, Yi Chang, Huan Liu:
Predictability of Distrust with Interaction Data. CIKM 2014: 181-190 - [c52]Jingyuan Zhang, Xiangnan Kong, Roger Jie Luo, Yi Chang, Philip S. Yu:
NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites. CIKM 2014: 709-718 - [c51]Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu:
Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery. ICDM 2014: 749-754 - [c50]Mohammad Taha Bahadori, Yi Chang, Bo Long, Yan Liu:
Scalable Heterogeneous Transfer Ranking. BigMine 2014: 214-228 - [c49]Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha:
Identifying and labeling search tasks via query-based hawkes processes. KDD 2014: 731-740 - [c48]Yanen Li, Anlei Dong, Hongning Wang, Hongbo Deng, Yi Chang, ChengXiang Zhai:
A two-dimensional click model for query auto-completion. SIGIR 2014: 455-464 - [c47]Hongning Wang, ChengXiang Zhai, Feng Liang, Anlei Dong, Yi Chang:
User modeling in search logs via a nonparametric bayesian approach. WSDM 2014: 203-212 - [c46]Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han:
A hierarchical Dirichlet model for taxonomy expansion for search engines. WWW 2014: 961-970 - 2013
- [c45]Luo Jie, Sudarshan Lamkhede, Rochit Sapra, Evans Hsu, Helen Song, Yi Chang:
A unified search federation system based on online user feedback. KDD 2013: 1195-1203 - [c44]Yi Chang, Xuanhui Wang, Qiaozhu Mei, Yan Liu:
Towards Twitter context summarization with user influence models. WSDM 2013: 527-536 - [c43]Kira Radinsky, Fernando Diaz, Susan T. Dumais, Milad Shokouhi, Anlei Dong, Yi Chang:
Temporal web dynamics and its application to information retrieval. WSDM 2013: 781-782 - [c42]Yoshiyuki Inagaki, Jiang Bian, Yi Chang:
An effective general framework for localized content optimization. WWW (Companion Volume) 2013: 65-66 - [c41]Achint Thomas, Kunal Punera, Lyndon Kennedy, Belle L. Tseng, Yi Chang:
Framework for evaluation of text captchas. WWW (Companion Volume) 2013: 159-160 - [c40]Hongning Wang, ChengXiang Zhai, Anlei Dong, Yi Chang:
Content-aware click modeling. WWW 2013: 1365-1376 - 2012
- [c39]Zhiheng Huang, Yi Chang, Bo Long, Jean-François Crespo, Anlei Dong, S. Sathiya Keerthi, Su-Lin Wu:
Iterative Viterbi A* Algorithm for K-Best Sequential Decoding. ACL (1) 2012: 611-619 - [c38]Bo Long, Jiang Bian, Anlei Dong, Yi Chang:
Enhancing product search by best-selling prediction in e-commerce. CIKM 2012: 2479-2482 - [c37]Changsung Kang, Jeehaeng Lee, Yi Chang:
Predicting primary categories of business listings for local search. CIKM 2012: 2591-2594 - [c36]Shuang-Hong Yang, Alexander J. Smola, Bo Long, Hongyuan Zha, Yi Chang:
Friend or frenemy?: predicting signed ties in social networks. SIGIR 2012: 555-564 - [c35]Bo Long, Yi Chang, Anlei Dong, Jianzhang He:
Pairwise cross-domain factor model for heterogeneous transfer ranking. WSDM 2012: 113-122 - [c34]Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. Tseng:
Learning to rank with multi-aspect relevance for vertical search. WSDM 2012: 453-462 - [c33]Hongning Wang, Anlei Dong, Lihong Li, Yi Chang, Evgeniy Gabrilovich:
Joint relevance and freshness learning from clickthroughs for news search. WWW 2012: 579-588 - [c32]Xuanhui Wang, Jiang Bian, Yi Chang, Belle L. Tseng:
Model news relatedness through user comments. WWW (Companion Volume) 2012: 629-630 - 2011
- [c31]Yi Chang, Ruiqiang Zhang, Srihari Reddy, Yan Liu:
Detecting Multilingual and Multi-Regional Query Intent in Web Search. AAAI 2011: 1134-1139 - [c30]Anlei Dong, Jiang Bian, Xiaofeng He, Srihari Reddy, Yi Chang:
User action interpretation for personalized content optimization in recommender systems. CIKM 2011: 2129-2132 - [c29]Jiang Bian, Yi Chang:
A taxonomy of local search: semi-supervised query classification driven by information needs. CIKM 2011: 2425-2428 - [c28]Yoshiyuki Inagaki, Jiang Bian, Yi Chang, Motoko Maki:
Enhancing mobile search using web search log data. SIGIR 2011: 1201-1202 - [c27]Srinivas Vadrevu, Choon Hui Teo, Suju Rajan, Kunal Punera, Byron Dom, Alexander J. Smola, Yi Chang, Zhaohui Zheng:
Scalable clustering of news search results. WSDM 2011: 675-684 - [c26]Changsung Kang, Xuanhui Wang, Jiang Chen, Ciya Liao, Yi Chang, Belle L. Tseng, Zhaohui Zheng:
Learning to re-rank web search results with multiple pairwise features. WSDM 2011: 735-744 - [c25]Yuanhua Lv, Taesup Moon, Pranam Kolari, Zhaohui Zheng, Xuanhui Wang, Yi Chang:
Learning to model relatedness for news recommendation. WWW 2011: 57-66 - [c24]Changsung Kang, Srinivas Vadrevu, Ruiqiang Zhang, Roelof van Zwol, Lluis Garcia Pueyo, Nicolas Torzec, Jianzhang He, Yi Chang:
Ranking related entities for web search queries. WWW (Companion Volume) 2011: 67-68 - [c23]Olivier Chapelle, Yi Chang:
Yahoo! Learning to Rank Challenge Overview. Yahoo! Learning to Rank Challenge 2011: 1-24 - [c22]Olivier Chapelle, Yi Chang, Tie-Yan Liu:
Future directions in learning to rank. Yahoo! Learning to Rank Challenge 2011: 91-100 - 2010
- [c21]Yoshiyuki Inagaki, Narayanan Sadagopan, Georges Dupret, Anlei Dong, Ciya Liao, Yi Chang, Zhaohui Zheng:
Session Based Click Features for Recency Ranking. AAAI 2010: 1334-1339 - [c20]Alexander Kotov, Pranam Kolari, Lei Duan, Yi Chang:
Temporal query log profiling to improve web search ranking. CIKM 2010: 1149-1158 - [c19]Bo Long, Yi Chang, Srinivas Vadrevu, Shuang-Hong Yang, Zhaohui Zheng:
Ranking with auxiliary data. CIKM 2010: 1489-1492 - [c18]Taesup Moon, Lihong Li, Wei Chu, Ciya Liao, Zhaohui Zheng, Yi Chang:
Online learning for recency search ranking using real-time user feedback. CIKM 2010: 1501-1504 - [c17]Zhenzhen Kou, Yi Chang, Zhaohui Zheng, Hongyuan Zha:
Learning to blend rankings: a monotonic transformation to blend rankings from heterogeneous domains. CIKM 2010: 1921-1924 - [c16]Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Keke Chen:
Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking. COLING (Posters) 2010: 18-26 - [c15]Ruiqiang Zhang, Yuki Konda, Anlei Dong, Pranam Kolari, Yi Chang, Zhaohui Zheng:
Learning Recurrent Event Queries for Web Search. EMNLP 2010: 1129-1139 - [c14]Bo Long, Olivier Chapelle, Ya Zhang, Yi Chang, Zhaohui Zheng, Belle L. Tseng:
Active learning for ranking through expected loss optimization. SIGIR 2010: 267-274 - [c13]Anlei Dong, Yi Chang, Zhaohui Zheng, Gilad Mishne, Jing Bai, Ruiqiang Zhang, Karolina Buchner, Ciya Liao, Fernando Diaz:
Towards recency ranking in web search. WSDM 2010: 11-20 - [c12]Taesup Moon, Alexander J. Smola, Yi Chang, Zhaohui Zheng:
IntervalRank: isotonic regression with listwise and pairwise constraints. WSDM 2010: 151-160 - [c11]Anlei Dong, Ruiqiang Zhang, Pranam Kolari, Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Hongyuan Zha:
Time is of the essence: improving recency ranking using Twitter data. WWW 2010: 331-340 - 2009
- [c10]Jing Bai, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Gordon Sun, Belle L. Tseng, Zhaohui Zheng, Yi Chang:
Multi-task learning for learning to rank in web search. CIKM 2009: 1549-1552 - [c9]Mingrui Wu, Yi Chang, Zhaohui Zheng, Hongyuan Zha:
Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions. CIKM 2009: 1923-1926 - [c8]Xin Li, Fan Li, Shihao Ji, Zhaohui Zheng, Yi Chang, Anlei Dong:
Incorporating robustness into web ranking evaluation. CIKM 2009: 2007-2010 - [c7]Anlei Dong, Yi Chang, Shihao Ji, Ciya Liao, Xin Li, Zhaohui Zheng:
Empirical Exploitation of Click Data for Task Specific Ranking. EMNLP 2009: 1086-1095 - [c6]Ruiqiang Zhang, Yi Chang, Zhaohui Zheng, Donald Metzler, Jian-Yun Nie:
Search Engine Adaptation by Feedback Control Adjustment for Time-sensitive Query. HLT-NAACL (Short Papers) 2009: 165-168 - [c5]Yi Chang, Anlei Dong, Ciya Liao, Zhaohui Zheng:
Enhancing topical ranking with preferences from click-through data. SIGIR 2009: 666-667 - 2008
- [c4]Jing Bai, Yi Chang, Hang Cui, Zhaohui Zheng, Gordon Sun, Xin Li:
Investigation of partial query proximity in web search. WWW 2008: 1183-1184 - 2006
- [c3]Yi Chang, Rong Yan, Datong Chen, Jie Yang:
People Identification with Limited Labels in Privacy-Protected Video. ICME 2006: 1005-1008 - 2004
- [c2]Yi Chang, Hongbo Xu, Shuo Bai:
A Re-examination of IR Techniques in QA System. IJCNLP 2004: 71-80 - 2003
- [c1]Yi Chang, Hongbo Xu, Shuo Bai:
TREC 2003 Question Answering Track at CAS-ICT. TREC 2003: 147-151
Parts in Books or Collections
- 2014
- [p2]Hongbo Deng, Yizhou Sun, Yi Chang, Jiawei Han:
Probabilistic Models for Classification. Data Classification: Algorithms and Applications 2014: 65-86 - 2009
- [p1]Datong Chen, Yi Chang, Rong Yan, Jie Yang:
Protecting Personal Identification in Video. Protecting Privacy in Video Surveillance 2009: 115-128
Editorship
- 2020
- [e5]Jimmy X. Huang, Yi Chang, Xueqi Cheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, Yiqun Liu:
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020. ACM 2020, ISBN 978-1-4503-8016-4 [contents] - 2018
- [e4]Yi Chang, Chengxiang Zhai, Yan Liu, Yoelle Maarek:
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018. ACM 2018, ISBN 978-1-4503-5581-0 [contents] - 2016
- [e3]Shaoping Ma, Ji-Rong Wen, Yiqun Liu, Zhicheng Dou, Min Zhang, Yi Chang, Wayne Xin Zhao:
Information Retrieval Technology - 12th Asia Information Retrieval Societies Conference, AIRS 2016, Beijing, China, November 30 - December 2, 2016, Proceedings. Lecture Notes in Computer Science 9994, Springer 2016, ISBN 978-3-319-48050-3 [contents] - [e2]Snehasis Mukhopadhyay, ChengXiang Zhai, Elisa Bertino, Fabio Crestani, Javed Mostafa, Jie Tang, Luo Si, Xiaofang Zhou, Yi Chang, Yunyao Li, Parikshit Sondhi:
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016. ACM 2016, ISBN 978-1-4503-4073-1 [contents] - 2011
- [e1]Olivier Chapelle, Yi Chang, Tie-Yan Liu:
Proceedings of the Yahoo! Learning to Rank Challenge, held at ICML 2010, Haifa, Israel, June 25, 2010. JMLR Proceedings 14, JMLR.org 2011 [contents]
Informal and Other Publications
- 2024
- [i67]Yue Zhou, Chenlu Guo, Xu Wang, Yi Chang, Yuan Wu:
A Survey on Data Augmentation in Large Model Era. CoRR abs/2401.15422 (2024) - [i66]Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang:
Copyright Protection in Generative AI: A Technical Perspective. CoRR abs/2402.02333 (2024) - [i65]Yixiang Shan, Zhengbang Zhu, Ting Long, Qifan Liang, Yi Chang, Weinan Zhang, Liang Yin:
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning. CoRR abs/2402.02772 (2024) - [i64]Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang, Chengqi Zhang:
Transductive Reward Inference on Graph. CoRR abs/2402.03661 (2024) - [i63]Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang:
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective. CoRR abs/2402.08228 (2024) - [i62]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 abs/2402.16893 (2024) - [i61]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 abs/2402.17453 (2024) - [i60]Xu Wang, Cheng Li, Yi Chang, Jindong Wang, Yuan Wu:
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli. CoRR abs/2405.02814 (2024) - [i59]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 abs/2405.03371 (2024) - [i58]Tingyu Xia, Bowen Yu, Yuan Wu, Yi Chang, Chang Zhou:
Language Models can Evaluate Themselves via Probability Discrepancy. CoRR abs/2405.10516 (2024) - [i57]Wanli Shi, Yi Chang, Bin Gu:
Double Momentum Method for Lower-Level Constrained Bilevel Optimization. CoRR abs/2406.17386 (2024) - [i56]Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang:
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. CoRR abs/2407.05364 (2024) - [i55]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 abs/2407.12068 (2024) - [i54]Yupeng Chang, Yi Chang, Yuan Wu:
Bias-Aware Low-Rank Adaptation: Mitigating Catastrophic Inheritance of Large Language Models. CoRR abs/2408.04556 (2024) - [i53]Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu:
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. CoRR abs/2408.08815 (2024) - 2023
- [i52]Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian:
UADB: Unsupervised Anomaly Detection Booster. CoRR abs/2306.01997 (2023) - [i51]Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao:
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning. CoRR abs/2306.04875 (2023) - [i50]Siyuan Guo, Yanchao Sun, Jifeng Hu, Sili Huang, Hechang Chen, Haiyin Piao, Lichao Sun, Yi Chang:
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning. CoRR abs/2306.07541 (2023) - [i49]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, 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. CoRR abs/2307.03109 (2023) - [i48]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - [i47]Xing Chen, Yijun Liu, Zhaogeng Liu, Hechang Chen, Hengshuai Yao, Yi Chang:
Careful at Estimation and Bold at Exploration. CoRR abs/2308.11348 (2023) - [i46]Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang:
Learning Generalizable Agents via Saliency-Guided Features Decorrelation. CoRR abs/2310.05086 (2023) - 2022
- [i45]Yuanbo Xu, En Wang, Yongjian Yang, Yi Chang:
A Unified Collaborative Representation Learning for Neural-Network based Recommender Systems. CoRR abs/2205.09670 (2022) - [i44]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 abs/2205.10047 (2022) - [i43]Xiaofeng Cao, Weixin Bu, Shengjun Huang, Ying-Peng Tang, Yaming Guo, Yi Chang, Ivor W. Tsang:
A Survey of Learning on Small Data. CoRR abs/2207.14443 (2022) - [i42]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 abs/2209.14642 (2022) - [i41]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 abs/2210.07636 (2022) - [i40]Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang:
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. CoRR abs/2211.03616 (2022) - [i39]Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang:
FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification. CoRR abs/2212.05506 (2022) - [i38]Chen Zhang, Xiaofeng Cao, Yi Chang, Ivor W. Tsang:
One-shot Machine Teaching: Cost Very Few Examples to Converge Faster. CoRR abs/2212.06416 (2022) - 2021
- [i37]Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang:
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. CoRR abs/2101.11206 (2021) - [i36]Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang:
Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks. CoRR abs/2102.10934 (2021) - [i35]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 abs/2105.13623 (2021) - [i34]Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang:
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. CoRR abs/2109.02403 (2021) - [i33]Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang:
Orthogonal Graph Neural Networks. CoRR abs/2109.11338 (2021) - [i32]Haotian Xue, Kaixiong Zhou, Tianlong Chen, Kai Guo, Xia Hu, Yi Chang, Xin Wang:
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks. CoRR abs/2110.14855 (2021) - [i31]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 abs/2111.12776 (2021) - [i30]Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang:
Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning. CoRR abs/2111.12791 (2021) - 2020
- [i29]Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Dawei Yin, Yi Chang:
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. CoRR abs/2001.06216 (2020) - [i28]Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang:
Semantic Triple Encoder for Fast Open-Set Link Prediction. CoRR abs/2004.14781 (2020) - [i27]Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang:
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. CoRR abs/2010.08830 (2020) - 2019
- [i26]Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai:
JIM: Joint Influence Modeling for Collective Search Behavior. CoRR abs/1903.00562 (2019) - [i25]Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. CoRR abs/1908.05604 (2019) - [i24]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 abs/1908.08672 (2019) - [i23]Chao-Lin Liu, Yi Chang:
Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty. CoRR abs/1908.10606 (2019) - [i22]Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang:
A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations. CoRR abs/1909.03227 (2019) - [i21]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 abs/1909.03500 (2019) - [i20]Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang:
Balance in Signed Bipartite Networks. CoRR abs/1909.06073 (2019) - 2018
- [i19]Shuai Wang, Mianwei Zhou, Geli Fei, Yi Chang, Bing Liu:
Contextual and Position-Aware Factorization Machines for Sentiment Classification. CoRR abs/1801.06172 (2018) - [i18]Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang:
Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning. CoRR abs/1802.05818 (2018) - [i17]Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Zero-shot User Intent Detection via Capsule Neural Networks. CoRR abs/1809.00385 (2018) - [i16]Chiu Man Ho, Dae Hoon Park, Wei Yang, Yi Chang:
Sequenced-Replacement Sampling for Deep Learning. CoRR abs/1810.08322 (2018) - [i15]Dae Hoon Park, Yi Chang:
Adversarial Sampling and Training for Semi-Supervised Information Retrieval. CoRR abs/1811.04155 (2018) - [i14]Dae Hoon Park, Chiu Man Ho, Yi Chang, Huaqing Zhang:
Gradient-Coherent Strong Regularization for Deep Neural Networks. CoRR abs/1811.08056 (2018) - 2017
- [i13]Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu:
Understanding and Predicting Delay in Reciprocal Relations. CoRR abs/1703.01393 (2017) - [i12]Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu:
Attributed Network Embedding for Learning in a Dynamic Environment. CoRR abs/1706.01860 (2017) - [i11]Chuancong Gao, Jiannan Wang, Jian Pei, Rui Li, Yi Chang:
Preference-driven Similarity Join. CoRR abs/1706.04266 (2017) - 2016
- [i10]Tianyi Zhou, Hua Ouyang, Yi Chang, Jeff A. Bilmes, Carlos Guestrin:
Scaling Submodular Maximization via Pruned Submodularity Graphs. CoRR abs/1606.00399 (2016) - [i9]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. CoRR abs/1607.06182 (2016) - [i8]Yilin Wang, Suhang Wang, Jiliang Tang, Neil O'Hare, Yi Chang, Baoxin Li:
Hierarchical Attention Network for Action Recognition in Videos. CoRR abs/1607.06416 (2016) - 2015
- [i7]Makoto Yamada, Amit Goyal, Yi Chang:
Convex Factorization Machine for Regression. CoRR abs/1507.01073 (2015) - [i6]Jiliang Tang, Yi Chang, Charu C. Aggarwal, Huan Liu:
A Survey of Signed Network Mining in Social Media. CoRR abs/1511.07569 (2015) - 2014
- [i5]Yi Chang, Lei Tang, Yoshiyuki Inagaki, Yan Liu:
What is Tumblr: A Statistical Overview and Comparison. CoRR abs/1403.5206 (2014) - [i4]Makoto Yamada, Avishek Saha, Hua Ouyang, Dawei Yin, Yi Chang:
N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data. CoRR abs/1411.2331 (2014) - [i3]Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang:
Consistent Collective Matrix Completion under Joint Low Rank Structure. CoRR abs/1412.2113 (2014) - 2011
- [i2]Taesup Moon, Wei Chu, Lihong Li, Zhaohui Zheng, Yi Chang:
Refining Recency Search Results with User Click Feedback. CoRR abs/1103.3735 (2011) - [i1]Changsung Kang, Xiaotong Lin, Xuanhui Wang, Yi Chang, Belle L. Tseng:
Modeling Perceived Relevance for Tail Queries without Click-Through Data. CoRR abs/1110.1112 (2011)
Coauthor Index
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