Jiaming Shen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
55
Venues
14
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
55 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | KSEM | RiskGNN: A Recall-First Two-Stage Framework for TBT Notification Impact Assessment. | Danqing Liu, Junwen Ye, Lexiang Zhang, Jiaming Shen |
| 2025 | AAAI | HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning. | Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen |
| 2025 | ICLR | RRM: Robust Reward Model Training Mitigates Reward Hacking. | Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasia Makarova, Jeremiah Zhe Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh |
| 2025 | ICLR | Building Math Agents with Multi-Turn Iterative Preference Learning. | Wei Xiong, Chengshuai Shi, Jiaming Shen, Aviv Rosenberg, Zhen Qin, Daniele Calandriello, Misha Khalman, Rishabh Joshi, Bilal Piot, Mohammad Saleh, Chi Jin, Tong Zhang, Tianqi Liu |
| 2025 | NAACL | LiPO: Listwise Preference Optimization through Learning-to-Rank. | Tianqi Liu, Zhen Qin, Junru Wu, Jiaming Shen, Misha Khalman, Rishabh Joshi, Yao Zhao, Mohammad Saleh, Simon Baumgartner, Jialu Liu, Peter J. Liu, Xuanhui Wang |
| 2025 | WWW | TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision. | Yunyi Zhang, Ruozhen Yang, Xueqiang Xu, Rui Li, Jinfeng Xiao, Jiaming Shen, Jiawei Han |
| 2025 | SOSP | IC-Cache: Efficient Large Language Model Serving via In-context Caching. | Yifan Yu, Yu Gan, Nikhil Sarda, Lillian Tsai, Jiaming Shen, Yanqi Zhou, Arvind Krishnamurthy, Fan Lai, Hank Levy, David E. Culler |
| 2024 | ACL | Predicting Text Preference Via Structured Comparative Reasoning. | Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Charumathi Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky |
| 2024 | ACL | Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. | Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky |
| 2024 | ACL | PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. | Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang |
| 2024 | ADMA | Secure Privacy-Preserving SMOTE for Vertical Federated Learning. | Wenyou Du, Haihang Wang, Jiaming Shen, Guanglei Meng, Yuming Guo, Wei Zhou |
| 2024 | EMNLP | Multilingual Fine-Grained News Headline Hallucination Detection. | Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky |
| 2024 | KDD | Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. | Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang |
| 2024 | NAACL | Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. | Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky |
| 2023 | ACL | Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters. | Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer, Huan Sun |
| 2023 | ACL | Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach. | Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang |
| 2023 | ACL | ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. | Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang |
| 2023 | KDD | Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. | Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2023 | KDD | Local Boosting for Weakly-Supervised Learning. | Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang |
| 2023 | WWW | Unsupervised Event Chain Mining from Multiple Documents. | Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han |
| 2023 | WWW | "Why is this misleading?": Detecting News Headline Hallucinations with Explanations. | Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Mike Bendersky, Marc Najork |
| 2023 | SIGIR | HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. | Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang |
| 2022 | ACL | Phrase-aware Unsupervised Constituency Parsing. | Xiaotao Gu, Yikang Shen, Jiaming Shen, Jingbo Shang, Jiawei Han |
| 2022 | ACL | Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion. | Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han |
| 2022 | EMNLP | Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. | Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han |
| 2022 | KDD | Unsupervised Key Event Detection from Massive Text Corpora. | Yunyi Zhang, Fang Guo, Jiaming Shen, Jiawei Han |
| 2022 | WWW | TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. | Dongha Lee, Jiaming Shen, Seongku Kang, Susik Yoon, Jiawei Han, Hwanjo Yu |
| 2021 | AAAI | Taxonomy Completion via Triplet Matching Network. | Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li |
| 2021 | ACL | Training ELECTRA Augmented with Multi-word Selection. | Jiaming Shen, Jialu Liu, Tianqi Liu, Cong Yu, Jiawei Han |
| 2021 | EMNLP | Corpus-based Open-Domain Event Type Induction. | Jiaming Shen, Yunyi Zhang, Heng Ji, Jiawei Han |
| 2021 | NAACL | TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. | Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han |
| 2020 | ACL | Empower Entity Set Expansion via Language Model Probing. | Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han |
| 2020 | EMNLP | Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. | Jiaming Shen, Heng Ji, Jiawei Han |
| 2020 | EMNLP | SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. | Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han |
| 2020 | ICTIR | Leveraging Personalized Sentiment Lexicons for Sentiment Analysis. | Dominic Seyler, Jiaming Shen, Jinfeng Xiao, Yiren Wang, ChengXiang Zhai |
| 2020 | KDD | STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths. | Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang |
| 2020 | WWW | Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. | Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han |
| 2020 | WWW | TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. | Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han |
| 2019 | AAAI | Weakly-Supervised Hierarchical Text Classification. | Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han |
| 2019 | AAAI | Mining Entity Synonyms with Efficient Neural Set Generation. | Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han |
| 2019 | ACL | Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis. | Junyi Du, He Jiang, Jiaming Shen, Xiang Ren |
| 2019 | CIKM | Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. | Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han |
| 2019 | CIKM | Query-Specific Knowledge Summarization with Entity Evolutionary Networks. | Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han |
| 2019 | KDD | Constructing and Mining Heterogeneous Information Networks from Massive Text. | Jingbo Shang, Jiaming Shen, Liyuan Liu, Jiawei Han |
| 2018 | ACL | End-to-End Reinforcement Learning for Automatic Taxonomy Induction. | Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han |
| 2018 | CIKM | Weakly-Supervised Neural Text Classification. | Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han |
| 2018 | CIKM | Investigating Rumor News Using Agreement-Aware Search. | Jingbo Shang, Jiaming Shen, Tianhang Sun, Xingbang Liu, Anja Gruenheid, Flip Korn, dm D. Lelkes, Cong Yu, Jiawei Han |
| 2018 | CIKM | Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. | Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler |
| 2018 | KDD | HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. | Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han |
| 2018 | KDD | TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. | Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han |
| 2018 | SIGIR | Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. | Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han |
| 2017 | ACL | Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. | Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard M. Weinshilboum, Jiawei Han |
| 2016 | AAAI | Modeling Topic-Level Academic Influence in Scientific Literatures. | Jiaming Shen, Zhenyu Song, Shitao Li, Zhaowei Tan, Yuning Mao, Luoyi Fu, Li Song, Xinbing Wang |
| 2016 | ICDM | Text Network Exploration via Heterogeneous Web of Topics. | Junxian He, Ying Huang, Changfeng Liu, Jiaming Shen, Yuting Jia, Xinbing Wang |
| 2016 | WWW | AceMap: A Novel Approach towards Displaying Relationship among Academic Literatures. | Zhaowei Tan, Changfeng Liu, Yuning Mao, Yunqi Guo, Jiaming Shen, Xinbing Wang |