Yi Chang

379 papers A* 92A 45B 7C 2Misc 1Journal 185Unranked 42
YearRankTypeTitle / Venue / Authors
2026 J jnl
Calibrating Tabular Anomaly Detection via Optimal Transport.
CoRR
Hangting Ye, He Zhao, Wei Fan, Xiaozhuang Song, Dandan Guo, Yi Chang, Hongyuan Zha
2026 J jnl
Compact exploration for continuous action reinforcement learning.
Pattern Recognit.
Xing Chen, Hechang Chen, Yi Chang
2026 J jnl
Deep Tabular Representation Corrector.
CoRR
Hangting Ye, Peng Wang, Wei Fan, Xiaozhuang Song, He Zhao, Dandan Gun, Yi Chang
2026 J jnl
Deep Tabular Representation Corrector.
IEEE Trans. Pattern Anal. Mach. Intell.
Hangting Ye, Peng Wang, Wei Fan, Xiaozhuang Song, He Zhao, Dandan Guo, Yi Chang
2026 J jnl
DualAdaptNet: Enhancing domain adaptation regression with error accumulation reduction and dual-head heterogeneous learning.
Pattern Recognit.
Xin Wang, Yuan Wu, Xingyu Zhu, Yi Chang, Yixing Gao
2026 — conf
Enhancing Multimodal Recommendation via Multimodal Representation Calibration in Spectral Domain.
KDD (1)
Minghui Wang, Tingting Zhang, Yu Li, Yi Chang
2026 J jnl
Fix Before Search: Benchmarking Agentic Query Visual Pre-processing in Multimodal Retrieval-augmented Generation.
CoRR
Jiankun Zhang, Shenglai Zeng, Kai Guo, Xinnan Dai, Hui Liu, Jiliang Tang, Yi Chang
2026 J jnl
Instructed Diffuser With Temporal Condition Guidance for Offline Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao
2026 J jnl
PRISM: Purified Representation and Integrated Semantic Modeling for Generative Sequential Recommendation.
CoRR
Dengzhao Fang, Jingtong Gao, Yu Li, Xiangyu Zhao, Yi Chang
2026 J jnl
Research on adaptive neural networks spatial trajectory tracking control problem of an underactuated AUV under disturbances.
J. Frankl. Inst.
Yi Chang, Yiqi Wang, Zhiguang Feng, Ruifeng Zhu
2026 J jnl
Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem.
CoRR
Lichang Song, Ting Long, Yi Chang
2026 J jnl
State transition difference prediction for deep reinforcement learning.
Pattern Recognit.
Haotian Chi, Zhaogeng Liu, Xing Chen, Bohao Qu, Jifeng Hu, Yuan Jiang, Hechang Chen, Yi Chang
2026 J jnl
Universal Stabilization for Maximum Entropy Optimization in Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xing Chen, Yewen Li, Xiaofeng Cao, Hechang Chen, Hengshuai Yao, Bo An, Yi Chang
2025 J jnl
A survey of RWKV.
Neurocomputing
Zhiyuan Li, Tingyu Xia, Yi Chang, Yuan Wu
2025 J jnl
ADAC: Actor-Double-Attention-Critic for Multi-Agent Cooperation in Mixed Cooperative-Competitive Environments.
IEEE Trans. Intell. Transp. Syst.
He Kong, Qianli Xing, Qi Wang, Runliang Niu, Hechang Chen, Yu Wang, Shiqi Wang, Zhiyi Duan, Yi Chang
2025 J jnl
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning.
CoRR
Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2025 A* conf
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation.
EMNLP
Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Yi Chang
2025 J jnl
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation.
CoRR
Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Yi Chang
2025 A* conf
Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning.
CVPR
Hairui Ren, Fan Tang, He Zhao, Zixuan Wang, Dandan Guo, Yi Chang
2025 J jnl
Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning.
CoRR
Hairui Ren, Fan Tang, He Zhao, Zixuan Wang, Dandan Guo, Yi Chang
2025 J jnl
Biological Regulatory Network Inference through Circular Causal Structure Learning.
CoRR
Hongyang Jiang, Yuezhu Wang, Ke Feng, Chaoyi Yin, Yi Chang, Huiyan Sun
2025 J jnl
Boosting Weak-to-Strong Agents in Multiagent Reinforcement Learning via Balanced PPO.
IEEE Trans. Neural Networks Learn. Syst.
Sili Huang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang, Lichao Sun, Bo Yang
2025 A* conf
CGMatch: A Different Perspective of Semi-supervised Learning.
CVPR
Bo Cheng, Jueqing Lu, Yuan Tian, Haifeng Zhao, Yi Chang, Lan Du
2025 J jnl
CGMatch: A Different Perspective of Semi-supervised Learning.
CoRR
Bo Cheng, Jueqing Lu, Yuan Tian, Haifeng Zhao, Yi Chang, Lan Du
2025 A* conf
Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models.
ICLR
Hualin Zhang, Haozhen Zhang, Zhekai Liu, Bin Gu, Yi Chang
2025 — ed.
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
WWW (Companion Volume)
Guodong Long, Michale Blumestein, Yi Chang, Liane Lewin-Eytan, Zi Helen Huang, Elad Yom-Tov
2025 A* conf
Concept Matching with Agent for Out-of-Distribution Detection.
AAAI
Yuxiao Lee, Xiaofeng Cao, Jingcai Guo, Wei Ye, Qing Guo, Yi Chang
2025 J jnl
Continual Diffuser (CoD): Mastering Continual Offline RL With Experience Rehearsal.
IEEE Trans. Neural Networks Learn. Syst.
Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2025 A* conf
ContraDiff: Planning Towards High Return States via Contrastive Learning.
ICLR
Yixiang Shan, Zhengbang Zhu, Ting Long, Qifan Liang, Yi Chang, Weinan Zhang, Liang Yin
2025 A* conf
DRL: Decomposed Representation Learning for Tabular Anomaly Detection.
ICLR
Hangting Ye, He Zhao, Wei Fan, Mingyuan Zhou, Dandan Guo, Yi Chang
2025 J jnl
Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning.
CoRR
Xiao Han, Zimo Zhao, Wanyu Wang, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao
2025 J jnl
Decision Flow Policy Optimization.
CoRR
Jifeng Hu, Sili Huang, Siyuan Guo, Zhaogeng Liu, Li Shen, Lichao Sun, Hechang Chen, Yi Chang, Dacheng Tao
2025 — conf
Enhancing Black-Box Adversarial Attacks on Discrete Sequential Data via Bilevel Bayesian Optimization in Hybrid Spaces.
KDD (1)
Tianxing Man, Xingchen Li, Zhaogeng Liu, Haozhen Zhang, Bin Gu, Yi Chang
2025 A* conf
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors.
CVPR
Changlong Shi, He Zhao, Bingjie Zhang, Mingyuan Zhou, Dandan Guo, Yi Chang
2025 J jnl
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors.
CoRR
Changlong Shi, He Zhao, Bingjie Zhang, Mingyuan Zhou, Dandan Guo, Yi Chang
2025 A* conf
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking.
ICLR
Changlong Shi, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang
2025 J jnl
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking.
CoRR
Changlong Shi, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang
2025 A* conf
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning.
ICML
Ganyu Wang, Jinjie Fang, Maxwell J. Yin, Bin Gu, Xi Chen, Boyu Wang, Yi Chang, Charles Ling
2025 J jnl
Global Model Selection for Semi-Supervised Support Vector Machine via Solution Paths.
IEEE Trans. Neural Networks Learn. Syst.
Yajing Fan, Shuyang Yu, Bin Gu, Ziran Xiong, Zhou Zhai, Heng Huang, Yi Chang
2025 J jnl
Graph Federated Learning for Personalized Privacy Recommendation.
CoRR
Ce Na, Kai Yang, Dengzhao Fang, Yu Li, Jingtong Gao, Chengcheng Zhu, Jiale Zhang, Xiaobing Sun, Yi Chang
2025 J jnl
Graph contrastive learning of subcellular-resolution spatial transcriptomics improves cell type annotation and reveals critical molecular pathways.
Briefings Bioinform.
Qiaolin Lu, Jiayuan Ding, Lingxiao Li, Yi Chang
2025 J jnl
HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs.
CoRR
Dengzhao Fang, Jingtong Gao, Chengcheng Zhu, Yu Li, Xiangyu Zhao, Yi Chang
2025 J jnl
HiPPO: Enhancing proximal policy optimization with highlight replay.
Pattern Recognit.
Shutong Zhang, Xing Chen, Zhaogeng Liu, Hechang Chen, Yi Chang
2025 J jnl
High-Resolution Spatiotemporal Modeling with Global-Local State Space Models for Video-Based Human Pose Estimation.
CoRR
Runyang Feng, Hyung Jin Chang, Tze Ho Elden Tse, Boeun Kim, Yi Chang, Yixing Gao
2025 J jnl
LLM Empowered Prototype Learning for Zero and Few-Shot Tasks on Tabular Data.
CoRR
Peng Wang, Dongsheng Wang, He Zhao, Hangting Ye, Dandan Guo, Yi Chang
2025 J jnl
LLM Meeting Decision Trees on Tabular Data.
CoRR
Hangting Ye, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang
2025 J jnl
LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis.
CoRR
Hangting Ye, Jinmeng Li, He Zhao, Mingchen Zhuge, Dandan Guo, Yi Chang, Hongyuan Zha
2025 — conf
Large Language Model Evaluation via Matrix Nuclear-Norm.
EMNLP (Findings)
Yahan Li, Tingyu Xia, Yuan Wu, Yi Chang
2025 J jnl
Learn to explain transformer via interpretation path by reinforcement learning.
Neural Networks
Runliang Niu, Qi Wang, He Kong, Qianli Xing, Yi Chang, Philip S. Yu
2025 J jnl
Length-Controlled Margin-Based Preference Optimization without Reference Model.
CoRR
Gengxu Li, Tingyu Xia, Yi Chang, Yuan Wu
2025 A* conf
Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization.
AAAI
Haozhen Zhang, Zhaogeng Liu, Bin Gu, Yi Chang
2025 — conf
LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization.
EMNLP (Findings)
Yupeng Chang, Chenlu Guo, Yi Chang, Yuan Wu
2025 J jnl
MeTA-LoRA: Data-Efficient Multi-Task Fine-Tuning for Large Language Models.
CoRR
Bo Cheng, Xu Wang, Jinda Liu, Yi Chang, Yuan Wu
2025 A* conf
MicroEdit: Neuron-level Knowledge Disentanglement and Localization in Lifelong Model Editing.
EMNLP
Shiqi Wang, Qi Wang, Runliang Niu, He Kong, Yi Chang
2025 J jnl
Modality-Consistent Prompt Tuning With Optimal Transport.
IEEE Trans. Circuits Syst. Video Technol.
Hairui Ren, Fan Tang, Huangjie Zheng, He Zhao, Dandan Guo, Yi Chang
2025 — conf
Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models.
KDD (2)
Siyuan Guo, Huiwu Liu, Xiaolong Chen, Yuming Xie, Liang Zhang, Tao Han, Hechang Chen, Yi Chang, Jun Wang
2025 J jnl
Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models.
CoRR
Siyuan Guo, Huiwu Liu, Xiaolong Chen, Yuming Xie, Liang Zhang, Tao Han, Hechang Chen, Yi Chang, Jun Wang
2025 A* ed.
Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
WWW
Guodong Long, Michale Blumestein, Yi Chang, Liane Lewin-Eytan, Zi Helen Huang, Elad Yom-Tov
2025 A* conf
Query Efficient Black-Box Visual Prompting with Subspace Learning.
CVPR
Zhaogeng Liu, Haozhen Zhang, Hualin Zhang, Xingchen Li, Wanli Shi, Bin Gu, Yi Chang
2025 J jnl
RAD: Retrieval High-quality Demonstrations to Enhance Decision-making.
CoRR
Lu Guo, Yixiang Shan, Zhengbang Zhu, Qifan Liang, Lichang Song, Ting Long, Weinan Zhang, Yi Chang
2025 — conf
Rethinking Data Selection at Scale: Random Selection is Almost All You Need.
EMNLP (Findings)
Tingyu Xia, Bowen Yu, Kai Dang, An Yang, Yuan Wu, Yuan Tian, Yi Chang, Junyang Lin
2025 A* conf
SIGMA: Selective Gated Mamba for Sequential Recommendation.
AAAI
Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao
2025 A* conf
STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation.
SIGIR
Maolin Wang, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Xuetao Wei, Zitao Liu, Hongzhi Yin, Yi Chang, Xiangyu Zhao
2025 J jnl
STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation.
CoRR
Maolin Wang, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Xuetao Wei, Zitao Liu, Hongzhi Yin, Yi Chang, Xiangyu Zhao
2025 J jnl
Selective fine-tuning for large language models via matrix nuclear norm.
Inf. Process. Manag.
Tingyu Xia, Yahan Li, Yuan Wu, Yi Chang
2025 A* conf
Simulating Question-answering Correctness with a Conditional Diffusion.
WWW
Ting Long, Li'ang Yin, Yi Chang, Wei Xia, Yong Yu
2025 J jnl
THINK-Bench: Evaluating Thinking Efficiency and Chain-of-Thought Quality of Large Reasoning Models.
CoRR
Zhiyuan Li, Yi Chang, Yuan Wu
2025 J jnl
Towards a structured analysis of domain perturbations in Tubular Geometry.
Pattern Recognit.
Yang Tao, Xiaofeng Cao, Yi Chang
2025 — conf
Training-free LLM Merging for Multi-task Learning.
ACL (1)
Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao
2025 J jnl
Training-free LLM Merging for Multi-task Learning.
CoRR
Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao
2024 J jnl
A Novel Composite Graph Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
Zhaogeng Liu, Jielong Yang, Xionghu Zhong, Wenwu Wang, Hechang Chen, Yi Chang
2024 J jnl
A Survey of RWKV.
CoRR
Zhiyuan Li, Tingyu Xia, Yi Chang, Yuan Wu
2024 J jnl
A Survey on Data Augmentation in Large Model Era.
CoRR
Yue Zhou, Chenlu Guo, Xu Wang, Yi Chang, Yuan Wu
2024 J jnl
A Survey on Evaluation of Large Language Models.
ACM Trans. Intell. Syst. Technol.
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
2024 J jnl
AiFed: An Adaptive and Integrated Mechanism for Asynchronous Federated Data Mining.
IEEE Trans. Knowl. Data Eng.
Linlin You, Sheng Liu, Tao Wang, Bingran Zuo, Yi Chang, Chau Yuen
2024 A* conf
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series.
ICML
Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu
2024 J jnl
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series.
CoRR
Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu
2024 J jnl
Bias-Aware Low-Rank Adaptation: Mitigating Catastrophic Inheritance of Large Language Models.
CoRR
Yupeng Chang, Yi Chang, Yuan Wu
2024 J jnl
Bidirectional Gated Mamba for Sequential Recommendation.
CoRR
Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao
2024 J jnl
Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective.
Inf. Sci.
Yang Tao, Kai Guo, Yizhen Zheng, Shirui Pan, Xiaofeng Cao, Yi Chang
2024 J jnl
CHBench: A Chinese Dataset for Evaluating Health in Large Language Models.
CoRR
Chenlu Guo, Nuo Xu, Yi Chang, Yuan Wu
2024 J jnl
CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-level Anomaly Detection.
CoRR
Jindong Li, Qianli Xing, Qi Wang, Yi Chang
2024 J jnl
CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy.
Inf. Process. Manag.
Zhiwei Yang, Jing Ma, Kang Yang, Huiru Lin, Hechang Chen, Ruichao Yang, Yi Chang
2024 J jnl
Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Zhiwei Yang, Jing Ma, Hechang Chen, Jiawei Zhang, Yi Chang
2024 J jnl
Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal.
CoRR
Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2024 J jnl
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning.
CoRR
Yixiang Shan, Zhengbang Zhu, Ting Long, Qifan Liang, Yi Chang, Weinan Zhang, Liang Yin
2024 J jnl
Copyright Protection in Generative AI: A Technical Perspective.
CoRR
Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang
2024 A* conf
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning.
ICML
Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang
2024 J jnl
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning.
CoRR
Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang
2024 J jnl
Discovering Expert-Level Air Combat Knowledge via Deep Excitatory-Inhibitory Factorized Reinforcement Learning.
ACM Trans. Intell. Syst. Technol.
Haiyin Piao, Shengqi Yang, Hechang Chen, Junnan Li, Jin Yu, Xuanqi Peng, Xin Yang, Zhen Yang, Zhixiao Sun, Yi Chang
2024 J jnl
Diversifying Policies With Non-Markov Dispersion to Expand the Solution Space.
IEEE Trans. Pattern Anal. Mach. Intell.
Bohao Qu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang, Yew-Soon Ong
2024 A* conf
Double Momentum Method for Lower-Level Constrained Bilevel Optimization.
ICML
Wanli Shi, Yi Chang, Bin Gu
2024 J jnl
Double Momentum Method for Lower-Level Constrained Bilevel Optimization.
CoRR
Wanli Shi, Yi Chang, Bin Gu
2024 J jnl
Eliminating Negative Word Similarities for Measuring Document Distances: A Thoroughly Empirical Study on Word Mover's Distance.
IEEE Trans. Neural Networks Learn. Syst.
Bo Cheng, Ximing Li, Yi Chang
2024 J jnl
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement.
IEEE Trans. Knowl. Data Eng.
Yu Wang, Liang Hu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang
2024 B conf
Estimating Individual Causal Treatment Effect by Variable Decomposition.
IJCNN
Hongyang Jiang, Yonghe Zhao, Qiang Huang, Yangkun Cao, Huiyan Sun, Yi Chang
2024 J jnl
Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom.
CoRR
Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang
2024 A* conf
Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom.
WWW
Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang
2024 J jnl
FANFOLD: Graph Normalizing Flows-driven Asymmetric Network for Unsupervised Graph-Level Anomaly Detection.
CoRR
Rui Cao, Shijie Xue, Jindong Li, Qi Wang, Yi Chang
2024 A conf
Fast and Adversarial Robust Kernelized SDU Learning.
AISTATS
Yajing Fan, Wanli Shi, Yi Chang, Bin Gu
2024 J jnl
Generalized multi-agent competitive reinforcement learning with differential augmentation.
Expert Syst. Appl.
Tianyi Liu, Hechang Chen, Jifeng Hu, Zhejian Yang, Bo Yu, Xinqi Du, Yinxiao Miao, Yi Chang
2024 A* conf
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective.
KDD
Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang
2024 J jnl
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective.
CoRR
Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang
2024 — conf
Language Models can Evaluate Themselves via Probability Discrepancy.
ACL (Findings)
Tingyu Xia, Bowen Yu, Yuan Wu, Yi Chang, Chang Zhou
2024 J jnl
Language Models can Evaluate Themselves via Probability Discrepancy.
CoRR
Tingyu Xia, Bowen Yu, Yuan Wu, Yi Chang, Chang Zhou
2024 J jnl
Large Language Model Evaluation via Matrix Nuclear-Norm.
CoRR
Yahan Li, Tingyu Xia, Yi Chang, Yuan Wu
2024 A conf
Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization.
AISTATS
Zhou Zhai, Wanli Shi, Heng Huang, Yi Chang, Bin Gu
2024 J jnl
Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness.
CoRR
Kai Guo, Zewen Liu, Zhikai Chen, Hongzhi Wen, Wei Jin, Jiliang Tang, Yi Chang
2024 J jnl
Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data.
ACM Trans. Knowl. Discov. Data
Qiang Huang, Jing Ma, Jundong Li, Ruocheng Guo, Huiyan Sun, Yi Chang
2024 A* conf
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli.
IJCAI
Xu Wang, Cheng Li, Yi Chang, Jindong Wang, Yuan Wu
2024 J jnl
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli.
CoRR
Xu Wang, Cheng Li, Yi Chang, Jindong Wang, Yuan Wu
2024 J jnl
Obtaining Lower Query Complexities Through Lightweight Zeroth-Order Proximal Gradient Algorithms.
Neural Comput.
Bin Gu, Xiyuan Wei, Hualin Zhang, Yi Chang, Heng Huang
2024 J jnl
Obtaining Lower Query Complexities through Lightweight Zeroth-Order Proximal Gradient Algorithms.
CoRR
Bin Gu, Xiyuan Wei, Hualin Zhang, Yi Chang, Heng Huang
2024 A* conf
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration.
ICLR
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
2024 J jnl
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration.
CoRR
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
2024 J jnl
Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Zhaogeng Liu, Feng Ji, Jielong Yang, Xiaofeng Cao, Muhan Zhang, Hechang Chen, Yi Chang
2024 J jnl
Rethinking Data Selection at Scale: Random Selection is Almost All You Need.
CoRR
Tingyu Xia, Bowen Yu, Kai Dang, An Yang, Yuan Wu, Yuan Tian, Yi Chang, Junyang Lin
2024 J jnl
Robust multi-agent reinforcement learning via Bayesian distributional value estimation.
Pattern Recognit.
Xinqi Du, Hechang Chen, Che Wang, Yongheng Xing, Jielong Yang, Philip S. Yu, Yi Chang, Lifang He
2024 J jnl
SLIVER: Unveiling large scale gene regulatory networks of single-cell transcriptomic data through causal structure learning and modules aggregation.
Comput. Biol. Medicine
Hongyang Jiang, Yuezhu Wang, Chaoyi Yin, Hao Pan, Liqun Chen, Ke Feng, Yi Chang, Huiyan Sun
2024 J jnl
SLMFed: A Stage-Based and Layerwise Mechanism for Incremental Federated Learning to Assist Dynamic and Ubiquitous IoT.
IEEE Internet Things J.
Linlin You, Zihan Guo, Bingran Zuo, Yi Chang, Chau Yuen
2024 J jnl
Sample Efficient Offline-to-Online Reinforcement Learning.
IEEE Trans. Knowl. Data Eng.
Siyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang
2024 A* conf
ScreenAgent: A Vision Language Model-driven Computer Control Agent.
IJCAI
Runliang Niu, Jindong Li, Shiqi Wang, Yali Fu, Xiyu Hu, Xueyuan Leng, He Kong, Yi Chang, Qi Wang
2024 J jnl
ScreenAgent: A Vision Language Model-driven Computer Control Agent.
CoRR
Runliang Niu, Jindong Li, Shiqi Wang, Yali Fu, Xiyu Hu, Xueyuan Leng, He Kong, Yi Chang, Qi Wang
2024 J jnl
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces.
CoRR
Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Yi Chang, Dacheng Tao, Lichao Sun
2024 J jnl
SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology.
J. Comput. Biol.
Jiayuan Ding, Lingxiao Li, Qiaolin Lu, Julian Venegas, Yixin Wang, Lidan Wu, Wei Jin, Hongzhi Wen, Renming Liu, Wenzhuo Tang, Xinnan Dai, Zhaoheng Li, Wangyang Zuo, Yi Chang, Yu Leo Lei, Lulu Shang, Patrick Danaher, Yuying Xie, Jiliang Tang
2024 A* conf
Subspace Selection based Prompt Tuning with Nonconvex Nonsmooth Black-Box Optimization.
KDD
Haozhen Zhang, Hualin Zhang, Bin Gu, Yi Chang
2024 — conf
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).
ACL (Findings)
Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024 J jnl
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).
CoRR
Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang
2024 J jnl
Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond.
CoRR
Qi Wang, Jindong Li, Shiqi Wang, Qianli Xing, Runliang Niu, He Kong, Rui Li, Guodong Long, Yi Chang, Chengqi Zhang
2024 J jnl
Transductive Reward Inference on Graph.
CoRR
Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang, Chengqi Zhang
2024 J jnl
Transductive Reward Inference on Graph.
IEEE Trans. Knowl. Data Eng.
Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang, Chengqi Zhang
2024 J jnl
XTRUST: On the Multilingual Trustworthiness of Large Language Models.
CoRR
Yahan Li, Yi Wang, Yi Chang, Yuan Wu
2023 J jnl
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning.
CoRR
Siyuan Guo, Yanchao Sun, Jifeng Hu, Sili Huang, Hechang Chen, Haiyin Piao, Lichao Sun, Yi Chang
2023 J jnl
A Survey on Evaluation of Large Language Models.
CoRR
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
2023 J jnl
A novel relation aware wrapper method for feature selection.
Pattern Recognit.
Zhaogeng Liu, Jielong Yang, Li Wang, Yi Chang
2023 J jnl
AdaNS: Adaptive negative sampling for unsupervised graph representation learning.
Pattern Recognit.
Yu Wang, Liang Hu, Wanfu Gao, Xiaofeng Cao, Yi Chang
2023 — conf
CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-Level Anomaly Detection.
ECML/PKDD (1)
Jindong Li, Qianli Xing, Qi Wang, Yi Chang
2023 J jnl
Careful at Estimation and Bold at Exploration.
CoRR
Xing Chen, Yijun Liu, Zhaogeng Liu, Hechang Chen, Hengshuai Yao, Yi Chang
2023 J jnl
GLAE: A graph-learnable auto-encoder for single-cell RNA-seq analysis.
Inf. Sci.
Yixiang Shan, Jielong Yang, Xiangtao Li, Xionghu Zhong, Yi Chang
2023 J jnl
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Yi Chang
2023 J jnl
Hyperspectral Image Denoising via Weighted Multidirectional Low-Rank Tensor Recovery.
IEEE Trans. Cybern.
Yanchi Su, Haoran Zhu, Ka-Chun Wong, Yi Chang, Xiangtao Li
2023 J jnl
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community.
CoRR
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
2023 J jnl
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open
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
2023 J jnl
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning.
CoRR
Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao
2023 — conf
Knowing Before Seeing: Incorporating Post-retrieval Information into Pre-retrieval Query Intention Classification.
KSEM (2)
Xueqing Ma, Xiaochi Wei, Yixing Gao, Runyang Feng, Dawei Yin, Yi Chang
2023 J jnl
Learning Generalizable Agents via Saliency-Guided Features Decorrelation.
CoRR
Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
2023 A* conf
Learning Generalizable Agents via Saliency-guided Features Decorrelation.
NeurIPS
Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
2023 A* conf
Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships.
ICML
Yaming Guo, Kai Guo, Xiaofeng Cao, Tieru Wu, Yi Chang
2023 A* conf
Signed Laplacian Graph Neural Networks.
AAAI
Yu Li, Meng Qu, Jian Tang, Yi Chang
2023 J jnl
Taming over-smoothing representation on heterophilic graphs.
Inf. Sci.
Kai Guo, Xiaofeng Cao, Zhining Liu, Yi Chang
2023 A* conf
The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure.
AAAI
Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Haiyin Piao, Zhixiao Sun, Zhiwei Yang, Randy Goebel, Bei Jiang, Yi Chang
2023 A* conf
UADB: Unsupervised Anomaly Detection Booster.
ICDE
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
2023 J jnl
UADB: Unsupervised Anomaly Detection Booster.
CoRR
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
2023 A* conf
Web-based Long-term Spine Treatment Outcome Forecasting.
KDD
Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu
2022 B conf
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.
COLING
Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang
2022 J jnl
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.
CoRR
Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang
2022 J jnl
A Survey of Learning on Small Data.
CoRR
Xiaofeng Cao, Weixin Bu, Shengjun Huang, Ying-Peng Tang, Yaming Guo, Yi Chang, Ivor W. Tsang
2022 J jnl
A Triple-Step Asynchronous Federated Learning Mechanism for Client Activation, Interaction Optimization, and Aggregation Enhancement.
IEEE Internet Things J.
Linlin You, Sheng Liu, Yi Chang, Chau Yuen
2022 J jnl
A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems.
IEEE Trans. Knowl. Data Eng.
Yuanbo Xu, En Wang, Yongjian Yang, Yi Chang
2022 J jnl
A Unified Collaborative Representation Learning for Neural-Network based Recommender Systems.
CoRR
Yuanbo Xu, En Wang, Yongjian Yang, Yi Chang
2022 J jnl
Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization.
ACM Trans. Inf. Syst.
Jiashu Zhao, Jimmy Xiangji Huang, Hongbo Deng, Yi Chang, Long Xia
2022 — conf
Cross-Domain Representation Learning for Clothes Unfolding in Robot-Assisted Dressing.
ECCV Workshops (6)
Jinge Qie, Yixing Gao, Runyang Feng, Xin Wang, Jielong Yang, Esha Dasgupta, Hyung Jin Chang, Yi Chang
2022 J jnl
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning.
CoRR
Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun
2022 A* conf
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning.
NeurIPS
Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun
2022 J jnl
Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification.
IEEE Trans. Cybern.
Yunhe Wang, Xiangtao Li, Ka-Chun Wong, Yi Chang, Shengxiang Yang
2022 A* conf
FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification.
EMNLP
Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang
2022 J jnl
FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification.
CoRR
Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang
2022 A* conf
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables.
EMNLP
Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang
2022 J jnl
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables.
CoRR
Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang
2022 J jnl
One-shot Machine Teaching: Cost Very Few Examples to Converge Faster.
CoRR
Chen Zhang, Xiaofeng Cao, Yi Chang, Ivor W. Tsang
2022 A* conf
Orthogonal Graph Neural Networks.
AAAI
Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang
2022 — conf
SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training.
ECML/PKDD (4)
Qiang Huang, Jing Ma, Jundong Li, Huiyan Sun, Yi Chang
2022 J jnl
Sigmoidally Preconditioned Off-policy Learning: a new exploration method for reinforcement learning.
CoRR
Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Jielong Yang, Haiyin Piao, Zhixiao Sun, Bei Jiang, Yi Chang
2022 — conf
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning.
AACL/IJCNLP (1)
Zhepei Wei, Yue Wang, Jinnan Li, Zhining Liu, Erxin Yu, Yuan Tian, Xin Wang, Yi Chang
2021 J jnl
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection.
CoRR
Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang
2021 J jnl
Bringing order to episodes: Mining timeline in social media.
Neurocomputing
Shang Wang, Zhiwei Yang, Yi Chang
2021 J jnl
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks.
CoRR
Haotian Xue, Kaixiong Zhou, Tianlong Chen, Kai Guo, Xia Hu, Yi Chang, Xin Wang
2021 B conf
Cost-Effective Knowledge Graph Reasoning for Complex Factoid Questions.
IJCNN
Xia Yang, Meng-Fen Chiang, Wang-Chien Lee, Yi Chang
2021 — conf
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction.
EMNLP (Findings)
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
2021 J jnl
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction.
CoRR
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
2021 A* conf
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation.
SIGIR
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
2021 J jnl
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation.
CoRR
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
2021 — conf
HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition.
EMNLP (Findings)
Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang
2021 J jnl
IMBENS: Ensemble Class-imbalanced Learning in Python.
CoRR
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
2021 J jnl
Orthogonal Graph Neural Networks.
CoRR
Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang
2021 J jnl
Predicting Skipjack Tuna Fishing Grounds in the Western and Central Pacific Ocean Based on High-Spatial-Temporal-Resolution Satellite Data.
Remote. Sens.
Tung-Yao Hsu, Yi Chang, Ming-An Lee, Ren-Fen Wu, Shih-Chun Hsiao
2021 A* conf
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion.
WWW
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang
2021 J jnl
Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning.
CoRR
Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
2021 A conf
Unbiased Learning to Rank in Feeds Recommendation.
WSDM
Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang
2021 A* conf
Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks.
WWW
Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang
2021 J jnl
Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks.
CoRR
Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang
2020 A* conf
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction.
ACL
Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang
2020 — conf
A Two-Level Noise-Tolerant Model for Relation Extraction with Reinforcement Learning.
ICKG
Erxin Yu, Yantao Jia, Yuan Tian, Yi Chang
2020 A* conf
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection.
ICDM
Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang
2020 A* conf
Attention-based Multi-level Feature Fusion for Named Entity Recognition.
IJCAI
Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang
2020 — conf
Context and Type Enhanced Representation Learning for Relation Extraction.
ICKG
Erxin Yu, Yantao Jia, Shang Wang, Fengfu Li, Yi Chang
2020 J jnl
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks.
CoRR
Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Dawei Yin, Yi Chang
2020 A* conf
Learning Signed Network Embedding via Graph Attention.
AAAI
Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang
2020 — conf
MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning.
KSEM (2)
Sili Huang, Bo Yang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang
2020 A* conf
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler.
NeurIPS
Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
2020 J jnl
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler.
CoRR
Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
2020 A* ed.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
SIGIR
Jimmy X. Huang, Yi Chang, Xueqi Cheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, Yiqun Liu
2020 A* conf
Self-paced Ensemble for Highly Imbalanced Massive Data Classification.
ICDE
Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
2020 J jnl
Semantic Triple Encoder for Fast Open-Set Link Prediction.
CoRR
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
2020 B conf
ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction.
COLING
Erxin Yu, Wenjuan Han, Yuan Tian, Yi Chang
2020 A* conf
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks.
AAAI
Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang
2020 J jnl
node2hash: Graph aware deep semantic text hashing.
Inf. Process. Manag.
Suthee Chaidaroon, Dae Hoon Park, Yi Chang, Yi Fang
2019 J jnl
A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations.
CoRR
Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang
2019 A* conf
Adversarial Sampling and Training for Semi-Supervised Information Retrieval.
WWW
Dae Hoon Park, Yi Chang
2019 A conf
Balance in Signed Bipartite Networks.
CIKM
Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang
2019 J jnl
Balance in Signed Bipartite Networks.
CoRR
Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang
2019 J jnl
Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty.
CoRR
Chao-Lin Liu, Yi Chang
2019 — conf
Disentangling Aspect and Opinion Words in Sentiment Analysis Using Lifelong PU Learning.
NFMCP@PKDD/ECML
Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang
2019 A conf
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System.
CIKM
Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
2019 J jnl
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System.
CoRR
Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
2019 J jnl
JIM: Joint Influence Modeling for Collective Search Behavior.
CoRR
Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai
2019 J jnl
Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model.
CoRR
Zhepei Wei, Yantao Jia, Yuan Tian, Mohammad Javad Hosseini, Mark Steedman, Yi Chang
2019 A* conf
Learning Network Embedding with Community Structural Information.
IJCAI
Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang
2019 — conf
Multi-Classification of Cancer Samples Based on Co-Expression Analyses.
BIBM
Hongyang Jiang, Qiang Huang, Liang Chen, Zhi Li, Ying Xu, Huiyan Sun, Yi Chang
2019 J jnl
Self-paced Ensemble for Highly Imbalanced Massive Data Classification.
CoRR
Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
2019 — conf
Vectors of Pairwise Item Preferences.
ECIR (1)
Gaurav Pandey, Shuaiqiang Wang, Zhaochun Ren, Yi Chang
2018 — conf
Abstract Meaning Representation for Paraphrase Detection.
NAACL-HLT
Fuad Issa, Marco Damonte, Shay B. Cohen, Xiaohui Yan, Yi Chang
2018 J jnl
Adversarial Sampling and Training for Semi-Supervised Information Retrieval.
CoRR
Dae Hoon Park, Yi Chang
2018 — conf
Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty.
DH
Chao-Lin Liu, Yi Chang
2018 J jnl
Contextual and Position-Aware Factorization Machines for Sentiment Classification.
CoRR
Shuai Wang, Mianwei Zhou, Geli Fei, Yi Chang, Bing Liu
2018 J jnl
Destriping Remote Sensing Image via Low-Rank Approximation and Nonlocal Total Variation.
IEEE Geosci. Remote. Sens. Lett.
Wenfei Cao, Yi Chang, Guodong Han, Junbing Li
2018 J jnl
Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning.
CoRR
Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang
2018 — conf
Document Modeling with External Attention for Sentence Extraction.
ACL (1)
Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu, Yi Chang
2018 B conf
Exploiting User Actions for App Recommendations.
ASONAM
Kai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo
2018 J jnl
Gradient-Coherent Strong Regularization for Deep Neural Networks.
CoRR
Dae Hoon Park, Chiu Man Ho, Yi Chang, Huaqing Zhang
2018 A conf
JIM: Joint Influence Modeling for Collective Search Behavior.
CIKM
Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai
2018 A* conf
Leveraging Fine-Grained Wikipedia Categories for Entity Search.
WWW
Denghao Ma, Yueguo Chen, Kevin Chen-Chuan Chang, Xiaoyong Du, Chuanfei Xu, Yi Chang
2018 J jnl
Optimizing Whole-Page Presentation for Web Search.
ACM Trans. Web
Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei
2018 A ed.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018
WSDM
Yi Chang, ChengXiang Zhai, Yan Liu, Yoelle Maarek
2018 J jnl
Sequenced-Replacement Sampling for Deep Learning.
CoRR
Chiu Man Ho, Dae Hoon Park, Wei Yang, Yi Chang
2018 — conf
Target-Sensitive Memory Networks for Aspect Sentiment Classification.
ACL (1)
Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, Yi Chang
2018 J jnl
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data.
IEEE Trans. Knowl. Data Eng.
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
2018 A* conf
Understanding and Predicting Delay in Reciprocal Relations.
WWW
Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu
2018 A* conf
Zero-shot User Intent Detection via Capsule Neural Networks.
EMNLP
Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
2018 J jnl
Zero-shot User Intent Detection via Capsule Neural Networks.
CoRR
Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
2017 A conf
Attributed Network Embedding for Learning in a Dynamic Environment.
CIKM
Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu
2017 J jnl
Attributed Network Embedding for Learning in a Dynamic Environment.
CoRR
Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu
2017 — conf
Connecting emerging relationships from news via tensor factorization.
IEEE BigData
Jingyuan Zhang, Chun-Ta Lu, Bokai Cao, Yi Chang, Philip S. Yu
2017 J jnl
Constructing click models for search users.
Inf. Retr. J.
Yiqun Liu, Jian-Yun Nie, Yi Chang
2017 A* conf
Convex Factorization Machine for Toxicogenomics Prediction.
KDD
Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang
2017 A* conf
Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation.
AAAI
Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang
2017 A* conf
Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion.
WWW
Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Ricardo Baeza-Yates, Hongyuan Zha
2017 C conf
Feasibility study of RFID-Mounted drone application in management of oyster farms.
IGARSS
Jen-Han Yang, Yi Chang
2017 J jnl
Large-Scale Location Prediction for Web Pages.
IEEE Trans. Knowl. Data Eng.
Yuening Hu, Changsung Kang, Jiliang Tang, Dawei Yin, Yi Chang
2017 J jnl
Learning Online Trends for Interactive Query Auto-Completion.
IEEE Trans. Knowl. Data Eng.
Yingfei Wang, Hua Ouyang, Hongbo Deng, Yi Chang
2017 A conf
Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes.
WSDM
Liangda Li, Hongbo Deng, Jianhui Chen, Yi Chang
2017 A* conf
Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation.
ICDE
Jiawei Zhang, Jianhui Chen, Shi Zhi, Yi Chang, Philip S. Yu, Jiawei Han
2017 A conf
Link Prediction with Cardinality Constraint.
WSDM
Jiawei Zhang, Jianhui Chen, Junxing Zhu, Yi Chang, Philip S. Yu
2017 — conf
Modeling the Influence of Popular Trending Events on User Search Behavior.
WWW (Companion Volume)
Shubhra Kanti Karmaker Santu, Liangda Li, Dae Hoon Park, Yi Chang, ChengXiang Zhai
2017 C conf
Modeling the habitat suitability index of skipjack tuna (katsuwonus pelamis) in the western and central pacific ocean.
IGARSS
Tung-Yao Hsu, Yi Chang
2017 J jnl
Preference-driven Similarity Join.
CoRR
Chuancong Gao, Jiannan Wang, Jian Pei, Rui Li, Yi Chang
2017 B conf
Preference-driven similarity join.
WI
Chuancong Gao, Jiannan Wang, Jian Pei, Rui Li, Yi Chang
2017 A conf
Scaling Submodular Maximization via Pruned Submodularity Graphs.
AISTATS
Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin
2017 Misc conf
Schemaless Join for Result Set Preferences.
IRI
Chuancong Gao, Jian Pei, Jiannan Wang, Yi Chang
2017 J jnl
Search, Mining, and Their Applications on Mobile Devices: Introduction to the Special Issue.
ACM Trans. Inf. Syst.
Hongning Wang, Rui Li, Milad Shokouhi, Hang Li, Yi Chang
2017 A conf
Signed Network Embedding in Social Media.
SDM
Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu
2017 A* conf
Streaming Recommender Systems.
WWW
Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2017 — conf
Towards Privacy-Preserving Evaluation for Information Retrieval Models Over Industry Data Sets.
AIRS
Peilin Yang, Mianwei Zhou, Yi Chang, ChengXiang Zhai, Hui Fang
2017 A* conf
Understanding and Discovering Deliberate Self-harm Content in Social Media.
WWW
Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang
2017 J jnl
Understanding and Predicting Delay in Reciprocal Relations.
CoRR
Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu
2016 J jnl
A Survey of Signed Network Mining in Social Media.
ACM Comput. Surv.
Jiliang Tang, Yi Chang, Charu C. Aggarwal, Huan Liu
2016 A* conf
Abusive Language Detection in Online User Content.
WWW
Chikashi Nobata, Joel R. Tetreault, Achint Thomas, Yashar Mehdad, Yi Chang
2016 A* conf
Behavior Driven Topic Transition for Search Task Identification.
WWW
Liangda Li, Hongbo Deng, Yunlong He, Anlei Dong, Yi Chang, Hongyuan Zha
2016 A conf
Beyond Ranking: Optimizing Whole-Page Presentation.
WSDM
Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei
2016 A* conf
Blind Men and The Elephant: Thurstonian Pairwise Preference for Ranking in Crowdsourcing.
ICDM
Xiaolong Wang, Jingjing Wang, Luo Jie, ChengXiang Zhai, Yi Chang
2016 — conf
HEER: Heterogeneous graph embedding for emerging relation detection from news.
IEEE BigData
Jingyuan Zhang, Chun-Ta Lu, Mianwei Zhou, Sihong Xie, Yi Chang, Philip S. Yu
2016 J jnl
Hierarchical Attention Network for Action Recognition in Videos.
CoRR
Yilin Wang, Suhang Wang, Jiliang Tang, Neil O'Hare, Yi Chang, Baoxin Li
2016 — ed.
Information Retrieval Technology - 12th Asia Information Retrieval Societies Conference, AIRS 2016, Beijing, China, November 30 - December 2, 2016, Proceedings
AIRS
Shaoping Ma, Ji-Rong Wen, Yiqun Liu, Zhicheng Dou, Min Zhang, Yi Chang, Wayne Xin Zhao
2016 A* conf
Learning Hostname Preference to Enhance Search Relevance.
IJCAI
Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han
2016 A* conf
Learning Query and Document Relevance from a Web-scale Click Graph.
SIGIR
Shan Jiang, Yuening Hu, Changsung Kang, Tim Daly Jr., Dawei Yin, Yi Chang, ChengXiang Zhai
2016 A conf
Learning to Rewrite Queries.
CIKM
Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin, Yi Chang
2016 A* conf
Leveraging User Interaction Signals for Web Image Search.
SIGIR
Neil O'Hare, Paloma de Juan, Rossano Schifanella, Yunlong He, Dawei Yin, Yi Chang
2016 J jnl
Lifecycle Modeling for Buzz Temporal Pattern Discovery.
ACM Trans. Knowl. Discov. Data
Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu
2016 A conf
Optimal Stochastic Strongly Convex Optimization with a Logarithmic Number of Projections.
UAI
Jianhui Chen, Tianbao Yang, Qihang Lin, Lijun Zhang, Yi Chang
2016 A* conf
Positive-Unlabeled Learning in Streaming Networks.
KDD
Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2016 A ed.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016
CIKM
Snehasis Mukhopadhyay, ChengXiang Zhai, Elisa Bertino, Fabio Crestani, Javed Mostafa, Jie Tang, Luo Si, Xiaofang Zhou, Yi Chang, Yunyao Li, Parikshit Sondhi
2016 A conf
Query Understanding for Search on All Devices at WSDM 2016.
WSDM
Amit Goyal, Jianfeng Gao, Hongbo Deng, Yi Chang
2016 A* conf
Ranking Relevance in Yahoo Search.
KDD
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
2016 A* conf
Recommendation with Social Dimensions.
AAAI
Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu
2016 J jnl
Scaling Submodular Maximization via Pruned Submodularity Graphs.
CoRR
Tianyi Zhou, Hua Ouyang, Yi Chang, Jeff A. Bilmes, Carlos Guestrin
2016 J jnl
Streaming Recommender Systems.
CoRR
Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2016 A* conf
Timeline Summarization from Social Media with Life Cycle Models.
IJCAI
Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu
2016 A* conf
Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach.
WWW
Aston Zhang, Amit Goyal, Ricardo Baeza-Yates, Yi Chang, Jiawei Han, Carl A. Gunter, Hongbo Deng
2015 J jnl
A Survey of Signed Network Mining in Social Media.
CoRR
Jiliang Tang, Yi Chang, Charu C. Aggarwal, Huan Liu
2015 J jnl
Active Learning for Ranking through Expected Loss Optimization.
IEEE Trans. Knowl. Data Eng.
Bo Long, Jiang Bian, Olivier Chapelle, Ya Zhang, Yoshiyuki Inagaki, Yi Chang
2015 A* conf
Analyzing User's Sequential Behavior in Query Auto-Completion via Markov Processes.
SIGIR
Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha, Ricardo Baeza-Yates
2015 A* conf
Causal Inference via Sparse Additive Models with Application to Online Advertising.
AAAI
Wei Sun, Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang
2015 A conf
Consistent Collective Matrix Completion under Joint Low Rank Structure.
AISTATS
Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang
2015 J jnl
Convex Factorization Machine for Regression.
CoRR
Makoto Yamada, Amit Goyal, Yi Chang
2015 J jnl
Cross-Domain Matching with Squared-Loss Mutual Information.
IEEE Trans. Pattern Anal. Mach. Intell.
Makoto Yamada, Leonid Sigal, Michalis Raptis, Machiko Toyoda, Yi Chang, Masashi Sugiyama
2015 A* conf
From Web Search Relevance to Vertical Search Relevance.
SIGIR
Yi Chang
2015 A conf
Learning Entity Types from Query Logs via Graph-Based Modeling.
CIKM
Jingyuan Zhang, Luo Jie, Altaf Rahman, Sihong Xie, Yi Chang, Philip S. Yu
2015 J jnl
Learning to rank related entities in Web search.
Neurocomputing
Changsung Kang, Dawei Yin, Ruiqiang Zhang, Nicolas Torzec, Jianzhang He, Yi Chang
2015 A* conf
Predicting Search Intent Based on Pre-Search Context.
SIGIR
Weize Kong, Rui Li, Jie Luo, Aston Zhang, Yi Chang, James Allan
2015 J jnl
Predicting primary categories of business listings for local search ranking.
Neurocomputing
Changsung Khan, Jeehaeng Lee, Roi Blanco, Yi Chang
2015 A conf
Propagation-based Sentiment Analysis for Microblogging Data.
SDM
Jiliang Tang, Chikashi Nobata, Anlei Dong, Yi Chang, Huan Liu
2015 — conf
Rethink Targeting: Detect 'Smart Cheating' in Online Advertising through Causal Inference.
WWW (Companion Volume)
Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang, Marsha Meytlis
2015 A conf
Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis.
WSDM
Pengyuan Wang, Wei Sun, Dawei Yin, Jian Yang, Yi Chang
2015 A conf
The 2nd workshop on Vertical Search Relevance at WSDM 2015.
WSDM
Dawei Yin, Chih-Chieh Hung, Rui Li, Yi Chang
2015 A* conf
adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback.
SIGIR
Aston Zhang, Amit Goyal, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang, Carl A. Gunter, Jiawei Han
2014 A* conf
A hierarchical Dirichlet model for taxonomy expansion for search engines.
WWW
Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han
2014 A* conf
A two-dimensional click model for query auto-completion.
SIGIR
Yanen Li, Anlei Dong, Hongning Wang, Hongbo Deng, Yi Chang, ChengXiang Zhai
2014 J jnl
Consistent Collective Matrix Completion under Joint Low Rank Structure.
CoRR
Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang
2014 J jnl
Domain Adaptation for Structured Regression.
Int. J. Comput. Vis.
Makoto Yamada, Leonid Sigal, Yi Chang
2014 J jnl
Exploiting User Preference for Online Learning in Web Content Optimization Systems.
ACM Trans. Intell. Syst. Technol.
Jiang Bian, Bo Long, Lihong Li, Taesup Moon, Anlei Dong, Yi Chang
2014 A* conf
Identifying and labeling search tasks via query-based hawkes processes.
KDD
Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha
2014 J jnl
Learning the Gain Values and Discount Factors of Discounted Cumulative Gains.
IEEE Trans. Knowl. Data Eng.
Ke Zhou, Hongyuan Zha, Yi Chang, Gui-Rong Xue
2014 J jnl
N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data.
CoRR
Makoto Yamada, Avishek Saha, Hua Ouyang, Dawei Yin, Yi Chang
2014 A conf
NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites.
CIKM
Jingyuan Zhang, Xiangnan Kong, Roger Jie Luo, Yi Chang, Philip S. Yu
2014 A conf
Predictability of Distrust with Interaction Data.
CIKM
Jiliang Tang, Xia Hu, Yi Chang, Huan Liu
2014 — ch.
Probabilistic Models for Classification.
Data Classification: Algorithms and Applications
Hongbo Deng, Yizhou Sun, Yi Chang, Jiawei Han
2014 — conf
Scalable Heterogeneous Transfer Ranking.
BigMine
Mohammad Taha Bahadori, Yi Chang, Bo Long, Yan Liu
2014 A* conf
Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery.
ICDM
Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu
2014 A conf
User modeling in search logs via a nonparametric bayesian approach.
WSDM
Hongning Wang, ChengXiang Zhai, Feng Liang, Anlei Dong, Yi Chang
2014 J jnl
What is Tumblr: A Statistical Overview and Comparison.
CoRR
Yi Chang, Lei Tang, Yoshiyuki Inagaki, Yan Liu
2014 J jnl
What is Tumblr: a statistical overview and comparison.
SIGKDD Explor.
Yi Chang, Lei Tang, Yoshiyuki Inagaki, Yan Liu
2013 A* conf
A unified search federation system based on online user feedback.
KDD
Luo Jie, Sudarshan Lamkhede, Rochit Sapra, Evans Hsu, Helen Song, Yi Chang
2013 — conf
An effective general framework for localized content optimization.
WWW (Companion Volume)
Yoshiyuki Inagaki, Jiang Bian, Yi Chang
2013 A* conf
Content-aware click modeling.
WWW
Hongning Wang, ChengXiang Zhai, Anlei Dong, Yi Chang
2013 — conf
Framework for evaluation of text captchas.
WWW (Companion Volume)
Achint Thomas, Kunal Punera, Lyndon Kennedy, Belle L. Tseng, Yi Chang
2013 J jnl
Improving recency ranking using twitter data.
ACM Trans. Intell. Syst. Technol.
Yi Chang, Anlei Dong, Pranam Kolari, Ruiqiang Zhang, Yoshiyuki Inagaki, Fernando Diaz, Hongyuan Zha, Yan Liu
2013 J jnl
Mining social media with social theories: a survey.
SIGKDD Explor.
Jiliang Tang, Yi Chang, Huan Liu
2013 A conf
Temporal web dynamics and its application to information retrieval.
WSDM
Kira Radinsky, Fernando Diaz, Susan T. Dumais, Milad Shokouhi, Anlei Dong, Yi Chang
2013 A conf
Towards Twitter context summarization with user influence models.
WSDM
Yi Chang, Xuanhui Wang, Qiaozhu Mei, Yan Liu
2013 J jnl
User Action Interpretation for Online Content Optimization.
IEEE Trans. Knowl. Data Eng.
Jiang Bian, Anlei Dong, Xiaofeng He, Srihari Reddy, Yi Chang
2012 J jnl
An Online Learning Framework for Refining Recency Search Results with User Click Feedback.
ACM Trans. Inf. Syst.
Taesup Moon, Wei Chu, Lihong Li, Zhaohui Zheng, Yi Chang
2012 A conf
Enhancing product search by best-selling prediction in e-commerce.
CIKM
Bo Long, Jiang Bian, Anlei Dong, Yi Chang
2012 A* conf
Friend or frenemy?: predicting signed ties in social networks.
SIGIR
Shuang-Hong Yang, Alexander J. Smola, Bo Long, Hongyuan Zha, Yi Chang
2012 — conf
Iterative Viterbi A* Algorithm for K-Best Sequential Decoding.
ACL (1)
Zhiheng Huang, Yi Chang, Bo Long, Jean-François Crespo, Anlei Dong, S. Sathiya Keerthi, Su-Lin Wu
2012 A* conf
Joint relevance and freshness learning from clickthroughs for news search.
WWW
Hongning Wang, Anlei Dong, Lihong Li, Yi Chang, Evgeniy Gabrilovich
2012 J jnl
Learning to blend vitality rankings from heterogeneous social networks.
Neurocomputing
Jiang Bian, Yi Chang, Yun Fu, Wen-Yen Chen
2012 A conf
Learning to rank with multi-aspect relevance for vertical search.
WSDM
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. Tseng
2012 — conf
Model news relatedness through user comments.
WWW (Companion Volume)
Xuanhui Wang, Jiang Bian, Yi Chang, Belle L. Tseng
2012 J jnl
Multi-task learning to rank for web search.
Pattern Recognit. Lett.
Yi Chang, Jing Bai, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Zhaohui Zheng
2012 A conf
Pairwise cross-domain factor model for heterogeneous transfer ranking.
WSDM
Bo Long, Yi Chang, Anlei Dong, Jianzhang He
2012 A conf
Predicting primary categories of business listings for local search.
CIKM
Changsung Kang, Jeehaeng Lee, Yi Chang
2012 J jnl
Toward Automated Definition Acquisition From Operations Law.
IEEE Trans. Syst. Man Cybern. Part C
Yi Chang, Jana Diesner, Kathleen M. Carley
2011 A conf
A taxonomy of local search: semi-supervised query classification driven by information needs.
CIKM
Jiang Bian, Yi Chang
2011 A* conf
Detecting Multilingual and Multi-Regional Query Intent in Web Search.
AAAI
Yi Chang, Ruiqiang Zhang, Srihari Reddy, Yan Liu
2011 A* conf
Enhancing mobile search using web search log data.
SIGIR
Yoshiyuki Inagaki, Jiang Bian, Yi Chang, Motoko Maki
2011 — conf
Future directions in learning to rank.
Yahoo! Learning to Rank Challenge
Olivier Chapelle, Yi Chang, Tie-Yan Liu
2011 A* conf
Learning to model relatedness for news recommendation.
WWW
Yuanhua Lv, Taesup Moon, Pranam Kolari, Zhaohui Zheng, Xuanhui Wang, Yi Chang
2011 A conf
Learning to re-rank web search results with multiple pairwise features.
WSDM
Changsung Kang, Xuanhui Wang, Jiang Chen, Ciya Liao, Yi Chang, Belle L. Tseng, Zhaohui Zheng
2011 J jnl
Modeling Perceived Relevance for Tail Queries without Click-Through Data
CoRR
Changsung Kang, Xiaotong Lin, Xuanhui Wang, Yi Chang, Belle L. Tseng
2011 — ed.
Proceedings of the Yahoo! Learning to Rank Challenge, held at ICML 2010, Haifa, Israel, June 25, 2010
Yahoo! Learning to Rank Challenge
Olivier Chapelle, Yi Chang, Tie-Yan Liu
2011 — conf
Ranking related entities for web search queries.
WWW (Companion Volume)
Changsung Kang, Srinivas Vadrevu, Ruiqiang Zhang, Roelof van Zwol, Lluis Garcia Pueyo, Nicolas Torzec, Jianzhang He, Yi Chang
2011 J jnl
Refining Recency Search Results with User Click Feedback
CoRR
Taesup Moon, Wei Chu, Lihong Li, Zhaohui Zheng, Yi Chang
2011 A conf
Scalable clustering of news search results.
WSDM
Srinivas Vadrevu, Choon Hui Teo, Suju Rajan, Kunal Punera, Byron Dom, Alexander J. Smola, Yi Chang, Zhaohui Zheng
2011 A conf
User action interpretation for personalized content optimization in recommender systems.
CIKM
Anlei Dong, Jiang Bian, Xiaofeng He, Srihari Reddy, Yi Chang
2011 — conf
Yahoo! Learning to Rank Challenge Overview.
Yahoo! Learning to Rank Challenge
Olivier Chapelle, Yi Chang
2010 A* conf
Active learning for ranking through expected loss optimization.
SIGIR
Bo Long, Olivier Chapelle, Ya Zhang, Yi Chang, Zhaohui Zheng, Belle L. Tseng
2010 — conf
Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking.
COLING (Posters)
Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Keke Chen
2010 A conf
IntervalRank: isotonic regression with listwise and pairwise constraints.
WSDM
Taesup Moon, Alexander J. Smola, Yi Chang, Zhaohui Zheng
2010 A* conf
Learning Recurrent Event Queries for Web Search.
EMNLP
Ruiqiang Zhang, Yuki Konda, Anlei Dong, Pranam Kolari, Yi Chang, Zhaohui Zheng
2010 A conf
Learning to blend rankings: a monotonic transformation to blend rankings from heterogeneous domains.
CIKM
Zhenzhen Kou, Yi Chang, Zhaohui Zheng, Hongyuan Zha
2010 A conf
Online learning for recency search ranking using real-time user feedback.
CIKM
Taesup Moon, Lihong Li, Wei Chu, Ciya Liao, Zhaohui Zheng, Yi Chang
2010 A conf
Ranking with auxiliary data.
CIKM
Bo Long, Yi Chang, Srinivas Vadrevu, Shuang-Hong Yang, Zhaohui Zheng
2010 A* conf
Session Based Click Features for Recency Ranking.
AAAI
Yoshiyuki Inagaki, Narayanan Sadagopan, Georges Dupret, Anlei Dong, Ciya Liao, Yi Chang, Zhaohui Zheng
2010 A conf
Temporal query log profiling to improve web search ranking.
CIKM
Alexander Kotov, Pranam Kolari, Lei Duan, Yi Chang
2010 A* conf
Time is of the essence: improving recency ranking using Twitter data.
WWW
Anlei Dong, Ruiqiang Zhang, Pranam Kolari, Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Hongyuan Zha
2010 A conf
Towards recency ranking in web search.
WSDM
Anlei Dong, Yi Chang, Zhaohui Zheng, Gilad Mishne, Jing Bai, Ruiqiang Zhang, Karolina Buchner, Ciya Liao, Fernando Diaz
2009 J jnl
An image-based automatic Arabic translation system.
Pattern Recognit.
Yi Chang, Datong Chen, Ying Zhang, Jie Yang
2009 A* conf
Empirical Exploitation of Click Data for Task Specific Ranking.
EMNLP
Anlei Dong, Yi Chang, Shihao Ji, Ciya Liao, Xin Li, Zhaohui Zheng
2009 A* conf
Enhancing topical ranking with preferences from click-through data.
SIGIR
Yi Chang, Anlei Dong, Ciya Liao, Zhaohui Zheng
2009 A conf
Incorporating robustness into web ranking evaluation.
CIKM
Xin Li, Fan Li, Shihao Ji, Zhaohui Zheng, Yi Chang, Anlei Dong
2009 A conf
Multi-task learning for learning to rank in web search.
CIKM
Jing Bai, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Gordon Sun, Belle L. Tseng, Zhaohui Zheng, Yi Chang
2009 — ch.
Protecting Personal Identification in Video.
Protecting Privacy in Video Surveillance
Datong Chen, Yi Chang, Rong Yan, Jie Yang
2009 — conf
Search Engine Adaptation by Feedback Control Adjustment for Time-sensitive Query.
HLT-NAACL (Short Papers)
Ruiqiang Zhang, Yi Chang, Zhaohui Zheng, Donald Metzler, Jian-Yun Nie
2009 A conf
Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions.
CIKM
Mingrui Wu, Yi Chang, Zhaohui Zheng, Hongyuan Zha
2008 A* conf
Investigation of partial query proximity in web search.
WWW
Jing Bai, Yi Chang, Hang Cui, Zhaohui Zheng, Gordon Sun, Xin Li
2007 J jnl
Tools for Protecting the Privacy of Specific Individuals in Video.
EURASIP J. Adv. Signal Process.
Datong Chen, Yi Chang, Rong Yan, Jie Yang
2006 A conf
People Identification with Limited Labels in Privacy-Protected Video.
ICME
Yi Chang, Rong Yan, Datong Chen, Jie Yang
2004 B conf
A Re-examination of IR Techniques in QA System.
IJCNLP
Yi Chang, Hongbo Xu, Shuo Bai
2003 — conf
TREC 2003 Question Answering Track at CAS-ICT.
TREC
Yi Chang, Hongbo Xu, Shuo Bai