Han, Jiawei

101 publications

TMLR 2026 Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong

ICLR 2025 A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts Suyu Ge, Xihui Lin, Yunan Zhang, Jiawei Han, Hao Peng

AAAI 2025 Bi-Level Contrastive Learning for Knowledge-Enhanced Molecule Representations Pengcheng Jiang, Cao Xiao, Tianfan Fu, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han

IJCAI 2025 CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantification Jimeng Shi, Bowen Jin, Jiawei Han, Sundararaman Gopalakrishnan, Giri Narasimhan

NeurIPS 2025 DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Jiashuo Sun, Xianrui Zhong, Sizhe Zhou, Jiawei Han

NeurIPS 2025 FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models Xuan Liu, Siru Ouyang, Xianrui Zhong, Jiawei Han, Huimin Zhao

CVPR 2025 GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs Yi Fang, Bowen Jin, Jiacheng Shen, Sirui Ding, Qiaoyu Tan, Jiawei Han

NeurIPS 2025 Hybrid Latent Reasoning via Reinforcement Learning Zhenrui Yue, Bowen Jin, Huimin Zeng, Honglei Zhuang, Zhen Qin, Jinsung Yoon, Lanyu Shang, Jiawei Han, Dong Wang

ICML 2025 LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan O Arik

ICLR 2025 Law of the Weakest Link: Cross Capabilities of Large Language Models Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten

ICLR 2025 Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan O Arik

CVPR 2025 Point Clouds Meets Physics: Dynamic Acoustic Field Fitting Network for Point Cloud Understanding Changshuo Wang, Shuting He, Xiang Fang, Jiawei Han, Zhonghang Liu, Xin Ning, Weijun Li, Prayag Tiwari

NeurIPS 2025 RAST: Reasoning Activation in LLMs via Small-Model Transfer Siru Ouyang, Xinyu Zhu, Zilin Xiao, Minhao Jiang, Yu Meng, Jiawei Han

ICLR 2025 Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha Kass-Hout, Jimeng Sun, Jiawei Han

ICLR 2025 RepoGraph: Enhancing AI Software Engineering with Repository-Level Code Graph Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu

ICLR 2025 Scaling Diffusion Language Models via Adaptation from Autoregressive Models Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong

NeurIPS 2025 The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning Shivam Agarwal, Zimin Zhang, Lifan Yuan, Jiawei Han, Hao Peng

ICLRW 2024 Does Data Contamination Make a Difference? Insights from Intentionally Contaminating Pre-Training Data for Language Models Minhao Jiang, Ken Liu, Ming Zhong, Rylan Schaeffer, Siru Ouyang, Jiawei Han, Sanmi Koyejo

NeurIPS 2024 InstructG2I: Synthesizing Images from Multimodal Attributed Graphs Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han

NeurIPS 2024 KG-FIT: Knowledge Graph Fine-Tuning upon Open-World Knowledge Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han

ICML 2024 Language Models as Semantic Indexers Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang

ICLR 2024 Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao

ICML 2024 MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma

TMLR 2024 Multi-LoRA Composition for Image Generation Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

ICLR 2024 Representation Deficiency in Masked Language Modeling Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer

ICML 2024 SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong

AAAI 2024 Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han

ICLR 2024 Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He

ICML 2024 Structured Chemistry Reasoning with Large Language Models Siru Ouyang, Zhuosheng Zhang, Bing Yan, Xuan Liu, Yejin Choi, Jiawei Han, Lianhui Qin

ECCV 2024 Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation Jiawei Han, Kaiqi Liu, Wei Li, Guangzhi Chen

NeurIPSW 2024 Synergistic Weak-Strong Collaboration by Aligning Preferences Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao

ECML-PKDD 2023 Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns Sizhe Zhou, Suyu Ge, Jiaming Shen, Jiawei Han

ICLR 2023 Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han

NeurIPSW 2023 Learning Multiplex Embeddings on Text-Rich Networks with One Text Encoder Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Han Zhao, Jiawei Han

NeurIPSW 2023 Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao

ICML 2023 Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek Abdelzaher, Jiawei Han

ICLR 2022 Chemical-Reaction-Aware Molecule Representation Learning Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin D. Burke

NeurIPS 2022 Generating Training Data with Language Models: Towards Zero-Shot Language Understanding Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han

ICLR 2022 Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul N. Bennett, Jiawei Han, Xia Song

NeurIPSW 2022 Shift-Robust Node Classification via Graph Clustering Co-Training Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han

NeurIPS 2021 COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song

ICLR 2021 CoDA: Contrast-Enhanced and Diversity-Promoting Data Augmentation for Natural Language Understanding Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Weizhu Chen, Jiawei Han

NeurIPS 2021 Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi

IJCAI 2021 TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract) Carl Yang, Jieyu Zhang, Jiawei Han

NeurIPS 2021 Transfer Learning of Graph Neural Networks with Ego-Graph Information Maximization Qi Zhu, Carl Yang, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han

NeurIPS 2021 Universal Graph Convolutional Networks Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han

ECML-PKDD 2020 FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-Grams Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han

ICLR 2020 On the Variance of the Adaptive Learning Rate and Beyond Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han

AAAI 2020 Unsupervised Attributed Multiplex Network Embedding Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu

IJCAI 2020 When Do GNNs Work: Understanding and Improving Neighborhood Aggregation Yiqing Xie, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han

AAAI 2019 Mining Entity Synonyms with Efficient Neural Set Generation Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han

NeurIPS 2019 Spherical Text Embedding Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance Kaplan, Jiawei Han

ECML-PKDD 2019 User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han

AAAI 2019 Weakly-Supervised Hierarchical Text Classification Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han

AAAI 2018 A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling Wanzheng Zhu, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han

AAAI 2018 Empower Sequence Labeling with Task-Aware Neural Language Model Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han

ECML-PKDD 2018 Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han

AAAI 2018 Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach Chao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han

ECML-PKDD 2017 SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han

IJCAI 2016 Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction Wei Zhang, Quan Yuan, Jiawei Han, Jianyong Wang

AAAI 2016 EKNOT: Event Knowledge from News and Opinions in Twitter Min Li, Jingjing Wang, Wenzhu Tong, Hongkun Yu, Xiuli Ma, Yucheng Chen, Haoyan Cai, Jiawei Han

IJCAI 2016 Learning Hostname Preference to Enhance Search Relevance Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han

AAAI 2016 Text Classification with Heterogeneous Information Network Kernels Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han

ICML 2016 Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation Huan Gui, Jiawei Han, Quanquan Gu

IJCAI 2015 Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han, Heng Ji, Ming Zhang

ECML-PKDD 2015 Fast Inbound Top-K Query for Random Walk with Restart Chao Zhang, Shan Jiang, Yucheng Chen, Yidan Sun, Jiawei Han

ECML-PKDD 2015 Robust Classification of Information Networks by Consistent Graph Learning Shi Zhi, Jiawei Han, Quanquan Gu

UAI 2014 Batch-Mode Active Learning via Error Bound Minimization Quanquan Gu, Tong Zhang, Jiawei Han

NeurIPS 2014 Robust Tensor Decomposition with Gross Corruption Quanquan Gu, Huan Gui, Jiawei Han

ECML-PKDD 2014 Scalable Moment-Based Inference for Latent Dirichlet Allocation Chi Wang, Xueqing Liu, Yanglei Song, Jiawei Han

AISTATS 2013 Clustered Support Vector Machines Quanquan Gu, Jiawei Han

ECML-PKDD 2013 Community Distribution Outlier Detection in Heterogeneous Information Networks Manish Gupta, Jing Gao, Jiawei Han

IJCAI 2013 Large-Scale Spectral Clustering on Graphs Jialu Liu, Chi Wang, Marina Danilevsky, Jiawei Han

AISTATS 2013 Unsupervised Link Selection in Networks Quanquan Gu, Charu C. Aggarwal, Jiawei Han

ICML 2012 A Simple Algorithm for Semi-Supervised Learning with Improved Generalization Error Bound Ming Ji, Tianbao Yang, Binbin Lin, Rong Jin, Jiawei Han

AISTATS 2012 A Variance Minimization Criterion to Active Learning on Graphs Ming Ji, Jiawei Han

ECML-PKDD 2012 Community Trend Outlier Detection Using Soft Temporal Pattern Mining Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han

AISTATS 2012 Locality Preserving Feature Learning Quanquan Gu, Marina Danilevsky, Zhenhui Li, Jiawei Han

NeurIPS 2012 Selective Labeling via Error Bound Minimization Quanquan Gu, Tong Zhang, Jiawei Han, Chris H. Ding

ECML-PKDD 2011 Efficient Mining of Top Correlated Patterns Based on Null-Invariant Measures Sangkyum Kim, Marina Barsky, Jiawei Han

UAI 2011 Generalized Fisher Score for Feature Selection Quanquan Gu, Zhenhui Li, Jiawei Han

IJCAI 2011 Joint Feature Selection and Subspace Learning Quanquan Gu, Zhenhui Li, Jiawei Han

AAAI 2011 Learning a Kernel for Multi-Task Clustering Quanquan Gu, Zhenhui Li, Jiawei Han

ECML-PKDD 2011 Linear Discriminant Dimensionality Reduction Quanquan Gu, Zhenhui Li, Jiawei Han

IJCAI 2011 On Trivial Solution and Scale Transfer Problems in Graph Regularized NMF Quanquan Gu, Chris H. Q. Ding, Jiawei Han

ECML-PKDD 2010 Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham

ECML-PKDD 2010 Graph Regularized Transductive Classification on Heterogeneous Information Networks Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao

ECML-PKDD 2010 NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification Hyungsul Kim, Sangkyum Kim, Tim Weninger, Jiawei Han, Tarek F. Abdelzaher

ECML-PKDD 2010 Structure Is Informative: On Mining Structured Information Networks Jiawei Han

NeurIPS 2009 Graph-Based Consensus Maximization Among Multiple Supervised and Unsupervised Models Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han

ECML-PKDD 2009 Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham

IJCAI 2009 Locality Preserving Nonnegative Matrix Factorization Deng Cai, Xiaofei He, Xuanhui Wang, Hujun Bao, Jiawei Han

ALT 2009 Mining Heterogeneous Information Networks by Exploring the Power of Links Jiawei Han

AAAI 2008 Sparse Projections over Graph Deng Cai, Xiaofei He, Jiawei Han

AAAI 2007 Isometric Projection Deng Cai, Xiaofei He, Jiawei Han

CVPR 2007 Learning a Spatially Smooth Subspace for Face Recognition Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thomas S. Huang

IJCAI 2007 Locality Sensitive Discriminant Analysis Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun Bao

ICCV 2007 Semi-Supervised Discriminant Analysis Deng Cai, Xiaofei He, Jiawei Han

ICCV 2007 Spectral Regression for Efficient Regularized Subspace Learning Deng Cai, Xiaofei He, Jiawei Han

IJCAI 1995 Advances of the DBLearn System for Knowledge Discovery in Large Databases Jiawei Han, Yongjian Fu, Simon Tang