| 2026 | AAAI | Spatio-Temporal Context Learning with Temporal Difference Convolution for Moving Infrared Small Target Detection. | Houzhang Fang, Shukai Guo, Qiuhuan Chen, Yi Chang, Luxin Yan |
| 2026 | AAAI | Blur-Robust Detection via Feature Restoration: An End-to-End Framework for Prior-Guided Infrared UAV Target Detection. | Xiaolin Wang, Houzhang Fang, Qingshan Li, Lu Wang, Yi Chang, Luxin Yan |
| 2026 | ACL | SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling. | Yupeng Chang, Yuan Wu, Yi Chang |
| 2026 | ACL | BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards. | Yupeng Chang, Yuan Wu, Yi Chang |
| 2026 | ACL | SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering. | Yuqing Fu, Yimin Deng, Wanyu Wang, Yuhao Wang, Yejing Wang, Hongshi Liu, Yiqi Wang, Xiao Han, Maolin Wang, Guoshuai Zhao, Yi Chang, Xiangyu Zhao |
| 2026 | ACL | AGGC: Adaptive Group Gradient Clipping for Stabilizing Large Language Model Training. | Zhiyuan Li, Yuan Wu, Yi Chang |
| 2026 | ACL | When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents. | Liang-Bo Ning, Yuchen Zhu, Heqing Huang, Xin Wang, Yi Chang, Qing Li, Wenqi Fan |
| 2026 | ACL | Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem. | Lichang Song, Ting Long, Yi Chang |
| 2026 | ACL | A Survey of Retentive Network. | Haiqi Yang, Zhiyuan Li, Yi Chang, Yuan Wu |
| 2026 | DASFAA | Improving Question Recommendation Through Oracle Recommendation Imitation. | Haipeng Liu, Ting Long, Yixiang Shan, Liang Yin, Yi Chang |
| 2026 | KDD | Enhancing Multimodal Recommendation via Multimodal Representation Calibration in Spectral Domain. | Minghui Wang, Tingting Zhang, Yu Li, Yi Chang |
| 2025 | AAAI | Concept Matching with Agent for Out-of-Distribution Detection. | Yuxiao Lee, Xiaofeng Cao, Jingcai Guo, Wei Ye, Qing Guo, Yi Chang |
| 2025 | AAAI | SIGMA: Selective Gated Mamba for Sequential Recommendation. | Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao |
| 2025 | AAAI | Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization. | Haozhen Zhang, Zhaogeng Liu, Bin Gu, Yi Chang |
| 2025 | ACL | Training-free LLM Merging for Multi-task Learning. | Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao |
| 2025 | ACL | StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following. | Jinnan Li, Jinzhe Li, Yue Wang, Yi Chang, Yuan Wu |
| 2025 | CVPR | CGMatch: A Different Perspective of Semi-supervised Learning. | Bo Cheng, Jueqing Lu, Yuan Tian, Haifeng Zhao, Yi Chang, Lan Du |
| 2025 | CVPR | OmniStereo: Real-time Omnidireactional Depth Estimation with Multiview Fisheye Cameras. | Jiaxi Deng, Yushen Wang, Haitao Meng, Zuoxun Hou, Yi Chang, Gang Chen |
| 2025 | CVPR | Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAV Target Detection. | Houzhang Fang, Xiaolin Wang, Zengyang Li, Lu Wang, Qingshan Li, Yi Chang, Luxin Yan |
| 2025 | CVPR | TimeTracker: Event-based Continuous Point Tracking for Video Frame Interpolation with Non-linear Motion. | Haoyue Liu, Jinghan Xu, Yi Chang, Hanyu Zhou, Haozhi Zhao, Lin Wang, Luxin Yan |
| 2025 | CVPR | Query Efficient Black-Box Visual Prompting with Subspace Learning. | Zhaogeng Liu, Haozhen Zhang, Hualin Zhang, Xingchen Li, Wanli Shi, Bin Gu, Yi Chang |
| 2025 | CVPR | Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning. | Hairui Ren, Fan Tang, He Zhao, Zixuan Wang, Dandan Guo, Yi Chang |
| 2025 | CVPR | FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors. | Changlong Shi, He Zhao, Bingjie Zhang, Mingyuan Zhou, Dandan Guo, Yi Chang |
| 2025 | CVPR | Bridge Frame and Event: Common Spatiotemporal Fusion for High-Dynamic Scene Optical Flow. | Hanyu Zhou, Haonan Wang, Haoyue Liu, Yuxing Duan, Yi Chang, Luxin Yan |
| 2025 | ECAI | Faster Lifting for Ordered Domains with Predecessor Relations. | Kuncheng Zou, Jiahao Mai, Yonggang Zhang, Yuyi Wang, Ondrej Kuzelka, Yuanhong Wang, Yi Chang |
| 2025 | EMNLP | LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization. | Yupeng Chang, Chenlu Guo, Yi Chang, Yuan Wu |
| 2025 | EMNLP | NLoRA: Nystrm-Initiated Low-Rank Adaptation for Large Language Models. | Chenlu Guo, Yi Chang, Yuan Wu |
| 2025 | EMNLP | Don't Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models. | Jinzhe Li, Gengxu Li, Yi Chang, Yuan Wu |
| 2025 | EMNLP | R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-task Learning. | Jinda Liu, Yi Chang, Yuan Wu |
| 2025 | EMNLP | Large Language Model Evaluation via Matrix Nuclear-Norm. | Yahan Li, Tingyu Xia, Yuan Wu, Yi Chang |
| 2025 | EMNLP | MicroEdit: Neuron-level Knowledge Disentanglement and Localization in Lifelong Model Editing. | Shiqi Wang, Qi Wang, Runliang Niu, He Kong, Yi Chang |
| 2025 | EMNLP | Rethinking Data Selection at Scale: Random Selection is Almost All You Need. | Tingyu Xia, Bowen Yu, Kai Dang, An Yang, Yuan Wu, Yuan Tian, Yi Chang, Junyang Lin |
| 2025 | EMNLP | Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. | Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Hui Liu, Yi Chang |
| 2025 | EMNLP | Detoxifying Large Language Models via the Diversity of Toxic Samples. | Ying Zhao, Yuanzhao Guo, Xuemeng Weng, Yuan Tian, Wei Wang, Yi Chang |
| 2025 | ICCV | High-Resolution Spatiotemporal Modeling with Global-Local State Space Models for Video-Based Human Pose Estimation. | Runyang Feng, Hyung Jin Chang, Tze Ho Elden Tse, Boeun Kim, Yi Chang, Yixing Gao |
| 2025 | ICCV | Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis. | Peng Zheng, Junke Wang, Yi Chang, Yizhou Yu, Rui Ma, Zuxuan Wu |
| 2025 | ICLR | ContraDiff: Planning Towards High Return States via Contrastive Learning. | Yixiang Shan, Zhengbang Zhu, Ting Long, Qifan Liang, Yi Chang, Weinan Zhang, Liang Yin |
| 2025 | ICLR | FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking. | Changlong Shi, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang |
| 2025 | ICLR | DRL: Decomposed Representation Learning for Tabular Anomaly Detection. | Hangting Ye, He Zhao, Wei Fan, Mingyuan Zhou, Dandan Guo, Yi Chang |
| 2025 | ICLR | Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models. | Hualin Zhang, Haozhen Zhang, Zhekai Liu, Bin Gu, Yi Chang |
| 2025 | ICML | FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning. | Ganyu Wang, Jinjie Fang, Maxwell J. Yin, Bin Gu, Xi Chen, Boyu Wang, Yi Chang, Charles Ling |
| 2025 | Interspeech | Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation. | Yi Chang, Zhao Ren, Zhonghao Zhao, Thanh Tam Nguyen, Kun Qian, Tanja Schultz, Bjrn W. Schuller |
| 2025 | KDD | Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models. | Siyuan Guo, Huiwu Liu, Xiaolong Chen, Yuming Xie, Liang Zhang, Tao Han, Hechang Chen, Yi Chang, Jun Wang |
| 2025 | KDD | Enhancing Black-Box Adversarial Attacks on Discrete Sequential Data via Bilevel Bayesian Optimization in Hybrid Spaces. | Tianxing Man, Xingchen Li, Zhaogeng Liu, Haozhen Zhang, Bin Gu, Yi Chang |
| 2025 | WWW | Simulating Question-answering Correctness with a Conditional Diffusion. | Ting Long, Li'ang Yin, Yi Chang, Wei Xia, Yong Yu |
| 2025 | SIGIR | STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation. | Maolin Wang, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Xuetao Wei, Zitao Liu, Hongzhi Yin, Yi Chang, Xiangyu Zhao |
| 2024 | AAAI | EPSD: Early Pruning with Self-Distillation for Efficient Model Compression. | Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang |
| 2024 | ACL | Language Models can Evaluate Themselves via Probability Discrepancy. | Tingyu Xia, Bowen Yu, Yuan Wu, Yi Chang, Chang Zhou |
| 2024 | ACL | The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). | Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang |
| 2024 | AISTATS | Fast and Adversarial Robust Kernelized SDU Learning. | Yajing Fan, Wanli Shi, Yi Chang, Bin Gu |
| 2024 | AISTATS | Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization. | Zhou Zhai, Wanli Shi, Heng Huang, Yi Chang, Bin Gu |
| 2024 | CVPR | Seeing Motion at Nighttime with an Event Camera. | Haoyue Liu, Shihan Peng, Lin Zhu, Yi Chang, Hanyu Zhou, Luxin Yan |
| 2024 | CVPR | Bring Event into RGB and LiDAR: Hierarchical Visual-Motion Fusion for Scene Flow. | Hanyu Zhou, Yi Chang, Zhiwei Shi |
| 2024 | ECCV | Long-Range Turbulence Mitigation: A Large-Scale Dataset and A Coarse-to-Fine Framework. | Shengqi Xu, Run Sun, Yi Chang, Shuning Cao, Xueyao Xiao, Luxin Yan |
| 2024 | ICLR | PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. | Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang |
| 2024 | ICLR | Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow. | Hanyu Zhou, Yi Chang, Haoyue Liu, Wending Yan, Yuxing Duan, Zhiwei Shi, Luxin Yan |
| 2024 | ICML | DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. | Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang |
| 2024 | ICML | An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. | Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu |
| 2024 | ICML | Double Momentum Method for Lower-Level Constrained Bilevel Optimization. | Wanli Shi, Yi Chang, Bin Gu |
| 2024 | IJCAI | ScreenAgent: A Vision Language Model-driven Computer Control Agent. | Runliang Niu, Jindong Li, Shiqi Wang, Yali Fu, Xiyu Hu, Xueyuan Leng, He Kong, Yi Chang, Qi Wang |
| 2024 | IJCAI | NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli. | Xu Wang, Cheng Li, Yi Chang, Jindong Wang, Yuan Wu |
| 2024 | IJCNN | Estimating Individual Causal Treatment Effect by Variable Decomposition. | Hongyang Jiang, Yonghe Zhao, Qiang Huang, Yangkun Cao, Huiyan Sun, Yi Chang |
| 2024 | ICRA | JSTR: Joint Spatio-Temporal Reasoning for Event-based Moving Object Detection. | Hanyu Zhou, Zhiwei Shi, Hao Dong, Shihan Peng, Yi Chang, Luxin Yan |
| 2024 | KDD | Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective. | Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang |
| 2024 | KDD | Subspace Selection based Prompt Tuning with Nonconvex Nonsmooth Black-Box Optimization. | Haozhen Zhang, Hualin Zhang, Bin Gu, Yi Chang |
| 2024 | WWW | Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom. | Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang |
| 2023 | AAAI | The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure. | Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Haiyin Piao, Zhixiao Sun, Zhiwei Yang, Randy Goebel, Bei Jiang, Yi Chang |
| 2023 | AAAI | TC-DWA: Text Clustering with Dual Word-Level Augmentation. | Bo Cheng, Ximing Li, Yi Chang |
| 2023 | AAAI | Signed Laplacian Graph Neural Networks. | Yu Li, Meng Qu, Jian Tang, Yi Chang |
| 2023 | AAAI | Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow. | Hanyu Zhou, Yi Chang, Gang Chen, Luxin Yan |
| 2023 | CVPR | Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words. | Chuan Tang, Xi Yang, Bojian Wu, Zhizhong Han, Yi Chang |
| 2023 | CVPR | Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow. | Hanyu Zhou, Yi Chang, Wending Yan, Luxin Yan |
| 2023 | ICASSP | Knowledge Transfer for on-Device Speech Emotion Recognition With Neural Structured Learning. | Yi Chang, Zhao Ren, Thanh Tam Nguyen, Kun Qian, Bjrn W. Schuller |
| 2023 | ICASSP | Fast Yet Effective Speech Emotion Recognition with Self-Distillation. | Zhao Ren, Thanh Tam Nguyen, Yi Chang, Bjrn W. Schuller |
| 2023 | ICCV | From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal. | Yun Guo, Xueyao Xiao, Yi Chang, Shumin Deng, Luxin Yan |
| 2023 | ICCV | Both Diverse and Realism Matter: Physical Attribute and Style Alignment for Rainy Image Generation. | Changfeng Yu, Shiming Chen, Yi Chang, Yibing Song, Luxin Yan |
| 2023 | ICDE | UADB: Unsupervised Anomaly Detection Booster. | Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian |
| 2023 | ICML | Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships. | Yaming Guo, Kai Guo, Xiaofeng Cao, Tieru Wu, Yi Chang |
| 2023 | KDD | Web-based Long-term Spine Treatment Outcome Forecasting. | Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu |
| 2023 | KSEM | Knowing Before Seeing: Incorporating Post-retrieval Information into Pre-retrieval Query Intention Classification. | Xueqing Ma, Xiaochi Wei, Yixing Gao, Runyang Feng, Dawei Yin, Yi Chang |
| 2022 | AAAI | Orthogonal Graph Neural Networks. | Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang |
| 2022 | AAAI | Close the Loop: A Unified Bottom-Up and Top-Down Paradigm for Joint Image Deraining and Segmentation. | Yi Li, Yi Chang, Changfeng Yu, Luxin Yan |
| 2022 | COLING | A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection. | Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang |
| 2022 | CVPR | Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. | Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian |
| 2022 | CVPR | Physically Disentangled Intra- and Inter-domain Adaptation for Varicolored Haze Removal. | Yi Li, Yi Chang, Yan Gao, Changfeng Yu, Luxin Yan |
| 2022 | CVPR | Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity. | Yuntong Ye, Changfeng Yu, Yi Chang, Lin Zhu, Xi-Le Zhao, Luxin Yan, Yonghong Tian |
| 2022 | ECCV | Cross-Domain Representation Learning for Clothes Unfolding in Robot-Assisted Dressing. | Jinge Qie, Yixing Gao, Runyang Feng, Xin Wang, Jielong Yang, Esha Dasgupta, Hyung Jin Chang, Yi Chang |
| 2022 | EMNLP | FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification. | Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang |
| 2022 | EMNLP | Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. | Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang |
| 2022 | IJCNLP | Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning. | Zhepei Wei, Yue Wang, Jinnan Li, Zhining Liu, Erxin Yu, Yuan Tian, Xin Wang, Yi Chang |
| 2022 | Interspeech | Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis. | Yi Chang, Zhao Ren, Thanh Tam Nguyen, Wolfgang Nejdl, Bjrn W. Schuller |
| 2021 | CVPR | Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation. | Yuntong Ye, Yi Chang, Hanyu Zhou, Luxin Yan |
| 2021 | EMNLP | HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition. | Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang |
| 2021 | EMNLP | Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. | Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang |
| 2021 | ICIG | Skeleton-Aware Network for Aircraft Landmark Detection. | Yuntong Ye, Yi Chang, Yi Li, Luxin Yan |
| 2021 | ICLR | Robust early-learning: Hindering the memorization of noisy labels. | Xiaobo Xia, Tongliang Liu, Bo Han, Chen Gong, Nannan Wang, Zongyuan Ge, Yi Chang |
| 2021 | IJCNN | Cost-Effective Knowledge Graph Reasoning for Complex Factoid Questions. | Xia Yang, Meng-Fen Chiang, Wang-Chien Lee, Yi Chang |
| 2021 | WWW | Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. | Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang |
| 2021 | WWW | Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks. | Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang |
| 2021 | SIGIR | Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. | Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang |
| 2021 | WSDM | Unbiased Learning to Rank in Feeds Recommendation. | Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang |
| 2020 | AAAI | Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. | Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang |
| 2020 | AAAI | Learning Signed Network Embedding via Graph Attention. | Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang |
| 2020 | ACL | A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. | Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang |
| 2020 | COLING | ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction. | Erxin Yu, Wenjuan Han, Yuan Tian, Yi Chang |
| 2020 | ICASSP | Learning Blind Denoising Network for Noisy Image Deblurring. | Meiya Chen, Yi Chang, Shuning Cao, Luxin Yan |
| 2020 | ICDE | Self-paced Ensemble for Highly Imbalanced Massive Data Classification. | Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu |
| 2020 | ICDM | Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. | Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang |
| 2020 | IJCAI | Attention-based Multi-level Feature Fusion for Named Entity Recognition. | Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang |
| 2020 | KSEM | MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning. | Sili Huang, Bo Yang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang |
| 2019 | CIKM | Balance in Signed Bipartite Networks. | Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang |
| 2019 | CIKM | Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. | Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu |
| 2019 | ECIR | Vectors of Pairwise Item Preferences. | Gaurav Pandey, Shuaiqiang Wang, Zhaochun Ren, Yi Chang |
| 2019 | ICIP | Directional-Aware Automatic Defect Detection in High-Speed Railway Catenary System. | Huimin Liu, Yi Chang, Ziqin Li, Sheng Zhong, Luxin Yan |
| 2019 | IJCAI | Learning Network Embedding with Community Structural Information. | Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang |
| 2019 | Interspeech | Follow-Up Question Generation Using Neural Tensor Network-Based Domain Ontology Population in an Interview Coaching System. | Ming-Hsiang Su, Chung-Hsien Wu, Yi Chang |
| 2019 | WWW | Adversarial Sampling and Training for Semi-Supervised Information Retrieval. | Dae Hoon Park, Yi Chang |
| 2018 | ACL | Target-Sensitive Memory Networks for Aspect Sentiment Classification. | Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, Yi Chang |
| 2018 | ACL | Document Modeling with External Attention for Sentence Extraction. | Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu, Yi Chang |
| 2018 | CIKM | JIM: Joint Influence Modeling for Collective Search Behavior. | Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai |
| 2018 | EMNLP | Zero-shot User Intent Detection via Capsule Neural Networks. | Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu |
| 2018 | ICASSP | Fast-Convergence Singular Value Decomposition for Tracking Time-Varying Channels in Massive Mimo Systems. | Pei-Yun Tsai, Yi Chang, Jian-Lin Li |
| 2018 | IGARSS | Intrusion of the Kuroshio Into Northeast of Taiwan. | Yun-Chan Tsai, Ming-Chee Wu, Yi Chang |
| 2018 | NAACL | Abstract Meaning Representation for Paraphrase Detection. | Fuad Issa, Marco Damonte, Shay B. Cohen, Xiaohui Yan, Yi Chang |
| 2018 | WWW | Understanding and Predicting Delay in Reciprocal Relations. | Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu |
| 2018 | WWW | Leveraging Fine-Grained Wikipedia Categories for Entity Search. | Denghao Ma, Yueguo Chen, Kevin Chen-Chuan Chang, Xiaoyong Du, Chuanfei Xu, Yi Chang |
| 2017 | AAAI | Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation. | Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang |
| 2017 | AISTATS | Scaling Submodular Maximization via Pruned Submodularity Graphs. | Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin |
| 2017 | CIKM | Attributed Network Embedding for Learning in a Dynamic Environment. | Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu |
| 2017 | CVPR | Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising. | Yi Chang, Luxin Yan, Sheng Zhong |
| 2017 | ICCV | Transformed Low-Rank Model for Line Pattern Noise Removal. | Yi Chang, Luxin Yan, Sheng Zhong |
| 2017 | ICDE | Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation. | Jiawei Zhang, Jianhui Chen, Shi Zhi, Yi Chang, Philip S. Yu, Jiawei Han |
| 2017 | IGARSS | Feasibility study of RFID-Mounted drone application in management of oyster farms. | Jen-Han Yang, Yi Chang |
| 2017 | IGARSS | Joint local and non-local priors for ground-based astronomical image denoising. | Luxin Yan, Wenshan Liao, Yi Chang, Chunan Luo |
| 2017 | IRI | Schemaless Join for Result Set Preferences. | Chuancong Gao, Jian Pei, Jiannan Wang, Yi Chang |
| 2017 | IGARSS | Satellite observation on coastal change in the Western Hunching Peninsula, Southern Taiwan. | Yi Chang, Ming-Chee Wu |
| 2017 | IGARSS | Hyperspectral image denoising via spectral and spatial low-rank approximation. | Yi Chang, Luxin Yan, Sheng Zhong |
| 2017 | IGARSS | Modeling the habitat suitability index of skipjack tuna (katsuwonus pelamis) in the western and central pacific ocean. | Tung-Yao Hsu, Yi Chang |
| 2017 | KDD | Convex Factorization Machine for Toxicogenomics Prediction. | Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang |
| 2017 | WWW | Streaming Recommender Systems. | Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang |
| 2017 | WWW | Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion. | Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Ricardo Baeza-Yates, Hongyuan Zha |
| 2017 | WWW | Modeling the Influence of Popular Trending Events on User Search Behavior. | Shubhra Kanti Karmaker Santu, Liangda Li, Dae Hoon Park, Yi Chang, ChengXiang Zhai |
| 2017 | WWW | Understanding and Discovering Deliberate Self-harm Content in Social Media. | Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang |
| 2017 | WSDM | Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes. | Liangda Li, Hongbo Deng, Jianhui Chen, Yi Chang |
| 2017 | WSDM | Link Prediction with Cardinality Constraint. | Jiawei Zhang, Jianhui Chen, Junxing Zhu, Yi Chang, Philip S. Yu |
| 2017 | SDM | Signed Network Embedding in Social Media. | Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu |
| 2016 | AAAI | Recommendation with Social Dimensions. | Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu |
| 2016 | CIKM | Learning to Rewrite Queries. | Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin, Yi Chang |
| 2016 | ICDM | Blind Men and The Elephant: Thurstonian Pairwise Preference for Ranking in Crowdsourcing. | Xiaolong Wang, Jingjing Wang, Luo Jie, Chengxiang Zhai, Yi Chang |
| 2016 | IJCAI | Timeline Summarization from Social Media with Life Cycle Models. | Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu |
| 2016 | IJCAI | Learning Hostname Preference to Enhance Search Relevance. | Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han |
| 2016 | KDD | Positive-Unlabeled Learning in Streaming Networks. | Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang |
| 2016 | KDD | Ranking Relevance in Yahoo Search. | 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 | WWW | Behavior Driven Topic Transition for Search Task Identification. | Liangda Li, Hongbo Deng, Yunlong He, Anlei Dong, Yi Chang, Hongyuan Zha |
| 2016 | WWW | Abusive Language Detection in Online User Content. | Chikashi Nobata, Joel R. Tetreault, Achint Thomas, Yashar Mehdad, Yi Chang |
| 2016 | WWW | Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach. | Aston Zhang, Amit Goyal, Ricardo Baeza-Yates, Yi Chang, Jiawei Han, Carl A. Gunter, Hongbo Deng |
| 2016 | SIGIR | Learning Query and Document Relevance from a Web-scale Click Graph. | Shan Jiang, Yuening Hu, Changsung Kang, Tim Daly Jr., Dawei Yin, Yi Chang, ChengXiang Zhai |
| 2016 | SIGIR | Leveraging User Interaction Signals for Web Image Search. | Neil O'Hare, Paloma de Juan, Rossano Schifanella, Yunlong He, Dawei Yin, Yi Chang |
| 2016 | UAI | Optimal Stochastic Strongly Convex Optimization with a Logarithmic Number of Projections. | Jianhui Chen, Tianbao Yang, Qihang Lin, Lijun Zhang, Yi Chang |
| 2016 | WSDM | Query Understanding for Search on All Devices at WSDM 2016. | Amit Goyal, Jianfeng Gao, Hongbo Deng, Yi Chang |
| 2016 | WSDM | Beyond Ranking: Optimizing Whole-Page Presentation. | Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei |
| 2015 | AAAI | Causal Inference via Sparse Additive Models with Application to Online Advertising. | Wei Sun, Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang |
| 2015 | AISTATS | Consistent Collective Matrix Completion under Joint Low Rank Structure. | Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang |
| 2015 | CIKM | Learning Entity Types from Query Logs via Graph-Based Modeling. | Jingyuan Zhang, Luo Jie, Altaf Rahman, Sihong Xie, Yi Chang, Philip S. Yu |
| 2015 | ICIP | Destriping algorithm with L0 sparsity prior for remote sensing images. | Hai Liu, Zhaoli Zhang, Sanya Liu, Tingting Liu, Yi Chang |
| 2015 | WWW | Rethink Targeting: Detect 'Smart Cheating' in Online Advertising through Causal Inference. | Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang, Marsha Meytlis |
| 2015 | SIGIR | From Web Search Relevance to Vertical Search Relevance. | Yi Chang |
| 2015 | SIGIR | Predicting Search Intent Based on Pre-Search Context. | Weize Kong, Rui Li, Jie Luo, Aston Zhang, Yi Chang, James Allan |
| 2015 | SIGIR | Analyzing User's Sequential Behavior in Query Auto-Completion via Markov Processes. | Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha, Ricardo Baeza-Yates |
| 2015 | SIGIR | adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback. | Aston Zhang, Amit Goyal, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang, Carl A. Gunter, Jiawei Han |
| 2015 | WSDM | Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis. | Pengyuan Wang, Wei Sun, Dawei Yin, Jian Yang, Yi Chang |
| 2015 | WSDM | The 2nd workshop on Vertical Search Relevance at WSDM 2015. | Dawei Yin, Chih-Chieh Hung, Rui Li, Yi Chang |
| 2015 | SDM | Propagation-based Sentiment Analysis for Microblogging Data. | Jiliang Tang, Chikashi Nobata, Anlei Dong, Yi Chang, Huan Liu |
| 2014 | CIKM | Predictability of Distrust with Interaction Data. | Jiliang Tang, Xia Hu, Yi Chang, Huan Liu |
| 2014 | CIKM | NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites. | Jingyuan Zhang, Xiangnan Kong, Roger Jie Luo, Yi Chang, Philip S. Yu |
| 2014 | ICDM | Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery. | Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu |
| 2014 | KDD | Scalable Heterogeneous Transfer Ranking. | Mohammad Taha Bahadori, Yi Chang, Bo Long, Yan Liu |
| 2014 | KDD | Identifying and labeling search tasks via query-based hawkes processes. | Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha |
| 2014 | WWW | A hierarchical Dirichlet model for taxonomy expansion for search engines. | Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han |
| 2014 | SIGIR | A two-dimensional click model for query auto-completion. | Yanen Li, Anlei Dong, Hongning Wang, Hongbo Deng, Yi Chang, ChengXiang Zhai |
| 2014 | WSDM | User modeling in search logs via a nonparametric bayesian approach. | Hongning Wang, ChengXiang Zhai, Feng Liang, Anlei Dong, Yi Chang |
| 2013 | ICIP | Joint blind deblurring and destriping for remote sensing images. | Yi Chang, Houzhang Fang, Luxin Yan, Hai Liu |
| 2013 | KDD | A unified search federation system based on online user feedback. | Luo Jie, Sudarshan Lamkhede, Rochit Sapra, Evans Hsu, Helen Song, Yi Chang |
| 2013 | WWW | An effective general framework for localized content optimization. | Yoshiyuki Inagaki, Jiang Bian, Yi Chang |
| 2013 | WWW | Framework for evaluation of text captchas. | Achint Thomas, Kunal Punera, Lyndon Kennedy, Belle L. Tseng, Yi Chang |
| 2013 | WWW | Content-aware click modeling. | Hongning Wang, ChengXiang Zhai, Anlei Dong, Yi Chang |
| 2013 | WSDM | Towards Twitter context summarization with user influence models. | Yi Chang, Xuanhui Wang, Qiaozhu Mei, Yan Liu |
| 2013 | WSDM | Temporal web dynamics and its application to information retrieval. | Kira Radinsky, Fernando Diaz, Susan T. Dumais, Milad Shokouhi, Anlei Dong, Yi Chang |
| 2012 | ACL | Iterative Viterbi A* Algorithm for K-Best Sequential Decoding. | Zhiheng Huang, Yi Chang, Bo Long, Jean-Franois Crespo, Anlei Dong, S. Sathiya Keerthi, Su-Lin Wu |
| 2012 | CIKM | Predicting primary categories of business listings for local search. | Changsung Kang, Jeehaeng Lee, Yi Chang |
| 2012 | CIKM | Enhancing product search by best-selling prediction in e-commerce. | Bo Long, Jiang Bian, Anlei Dong, Yi Chang |
| 2012 | WWW | Model news relatedness through user comments. | Xuanhui Wang, Jiang Bian, Yi Chang, Belle L. Tseng |
| 2012 | WWW | Joint relevance and freshness learning from clickthroughs for news search. | Hongning Wang, Anlei Dong, Lihong Li, Yi Chang, Evgeniy Gabrilovich |
| 2012 | SIGIR | Friend or frenemy?: predicting signed ties in social networks. | Shuang-Hong Yang, Alexander J. Smola, Bo Long, Hongyuan Zha, Yi Chang |
| 2012 | WSDM | Learning to rank with multi-aspect relevance for vertical search. | Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. Tseng |
| 2012 | WSDM | Pairwise cross-domain factor model for heterogeneous transfer ranking. | Bo Long, Yi Chang, Anlei Dong, Jianzhang He |
| 2011 | AAAI | Detecting Multilingual and Multi-Regional Query Intent in Web Search. | Yi Chang, Ruiqiang Zhang, Srihari Reddy, Yan Liu |
| 2011 | CIKM | A taxonomy of local search: semi-supervised query classification driven by information needs. | Jiang Bian, Yi Chang |
| 2011 | CIKM | User action interpretation for personalized content optimization in recommender systems. | Anlei Dong, Jiang Bian, Xiaofeng He, Srihari Reddy, Yi Chang |
| 2011 | WWW | Ranking related entities for web search queries. | Changsung Kang, Srinivas Vadrevu, Ruiqiang Zhang, Roelof van Zwol, Lluis Garcia Pueyo, Nicolas Torzec, Jianzhang He, Yi Chang |
| 2011 | WWW | Learning to model relatedness for news recommendation. | Yuanhua Lv, Taesup Moon, Pranam Kolari, Zhaohui Zheng, Xuanhui Wang, Yi Chang |
| 2011 | SIGIR | Enhancing mobile search using web search log data. | Yoshiyuki Inagaki, Jiang Bian, Yi Chang, Motoko Maki |
| 2011 | WSDM | Learning to re-rank web search results with multiple pairwise features. | Changsung Kang, Xuanhui Wang, Jiang Chen, Ciya Liao, Yi Chang, Belle L. Tseng, Zhaohui Zheng |
| 2011 | WSDM | Scalable clustering of news search results. | Srinivas Vadrevu, Choon Hui Teo, Suju Rajan, Kunal Punera, Byron Dom, Alexander J. Smola, Yi Chang, Zhaohui Zheng |
| 2010 | AAAI | Session Based Click Features for Recency Ranking. | Yoshiyuki Inagaki, Narayanan Sadagopan, Georges Dupret, Anlei Dong, Ciya Liao, Yi Chang, Zhaohui Zheng |
| 2010 | CIKM | Temporal query log profiling to improve web search ranking. | Alexander Kotov, Pranam Kolari, Lei Duan, Yi Chang |
| 2010 | CIKM | Learning to blend rankings: a monotonic transformation to blend rankings from heterogeneous domains. | Zhenzhen Kou, Yi Chang, Zhaohui Zheng, Hongyuan Zha |
| 2010 | CIKM | Ranking with auxiliary data. | Bo Long, Yi Chang, Srinivas Vadrevu, Shuang-Hong Yang, Zhaohui Zheng |
| 2010 | CIKM | Online learning for recency search ranking using real-time user feedback. | Taesup Moon, Lihong Li, Wei Chu, Ciya Liao, Zhaohui Zheng, Yi Chang |
| 2010 | COLING | Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking. | Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Keke Chen |
| 2010 | EMNLP | Learning Recurrent Event Queries for Web Search. | Ruiqiang Zhang, Yuki Konda, Anlei Dong, Pranam Kolari, Yi Chang, Zhaohui Zheng |
| 2010 | WWW | Time is of the essence: improving recency ranking using Twitter data. | Anlei Dong, Ruiqiang Zhang, Pranam Kolari, Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Hongyuan Zha |
| 2010 | SIGIR | Active learning for ranking through expected loss optimization. | Bo Long, Olivier Chapelle, Ya Zhang, Yi Chang, Zhaohui Zheng, Belle L. Tseng |
| 2010 | WSDM | Towards recency ranking in web search. | Anlei Dong, Yi Chang, Zhaohui Zheng, Gilad Mishne, Jing Bai, Ruiqiang Zhang, Karolina Buchner, Ciya Liao, Fernando Diaz |
| 2010 | WSDM | IntervalRank: isotonic regression with listwise and pairwise constraints. | Taesup Moon, Alexander J. Smola, Yi Chang, Zhaohui Zheng |
| 2009 | CIKM | Multi-task learning for learning to rank in web search. | Jing Bai, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Gordon Sun, Belle L. Tseng, Zhaohui Zheng, Yi Chang |
| 2009 | CIKM | Incorporating robustness into web ranking evaluation. | Xin Li, Fan Li, Shihao Ji, Zhaohui Zheng, Yi Chang, Anlei Dong |
| 2009 | CIKM | Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions. | Mingrui Wu, Yi Chang, Zhaohui Zheng, Hongyuan Zha |
| 2009 | EMNLP | Empirical Exploitation of Click Data for Task Specific Ranking. | Anlei Dong, Yi Chang, Shihao Ji, Ciya Liao, Xin Li, Zhaohui Zheng |
| 2009 | NAACL | Search Engine Adaptation by Feedback Control Adjustment for Time-sensitive Query. | Ruiqiang Zhang, Yi Chang, Zhaohui Zheng, Donald Metzler, Jian-Yun Nie |
| 2009 | SIGIR | Enhancing topical ranking with preferences from click-through data. | Yi Chang, Anlei Dong, Ciya Liao, Zhaohui Zheng |
| 2008 | WWW | Investigation of partial query proximity in web search. | Jing Bai, Yi Chang, Hang Cui, Zhaohui Zheng, Gordon Sun, Xin Li |
| 2005 | IGARSS | A satellite and field view of the winter SST variability in the taiwan strait. | Ming-An Lee, Yi Chang, Kuo-Tien Lee, Jui-Wen Chan, Don-Chung Liu, Wei-Cheng Su |
| 2004 | IJCNLP | A Re-examination of IR Techniques in QA System. | Yi Chang, Hongbo Xu, Shuo Bai |