Jiaming Shen - RankMe

125 papers A* 26A 5B 1Misc 1Journal 63Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Building Math Agents with Multi-Turn Iterative Preference Learning. ICLR 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	J	`jnl`	EchoLM: Accelerating LLM Serving with Real-time Knowledge Distillation. CoRR Yifan Yu, Yu Gan, Lillian Tsai, Nikhil Sarda, Jiaming Shen, Yanqi Zhou, Arvind Krishnamurthy, Fan Lai, Henry M. Levy, David E. Culler
2025	A*	`conf`	HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning. AAAI Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen
2025	A*	`conf`	IC-Cache: Efficient Large Language Model Serving via In-context Caching. SOSP Yifan Yu, Yu Gan, Nikhil Sarda, Lillian Tsai, Jiaming Shen, Yanqi Zhou, Arvind Krishnamurthy, Fan Lai, Hank Levy, David E. Culler
2025	—	`conf`	LiPO: Listwise Preference Optimization through Learning-to-Rank. NAACL (Long Papers) 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	J	`jnl`	Network Security Scheme for Discrete-Time T-S Fuzzy Nonlinear Active Suspension Systems Based on Multiswitching Control Mechanism. IEEE Trans. Fuzzy Syst. Jiaming Shen, Yang Liu, Mohammed Chadli
2025	A*	`conf`	RRM: Robust Reward Model Training Mitigates Reward Hacking. ICLR 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	J	`jnl`	Research on optimisation of fresh product closed-loop supply chain based on DWOA algorithm in mobile environment. Int. J. Wirel. Mob. Comput. Jiaming Shen
2025	A*	`conf`	TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision. WWW Yunyi Zhang, Ruozhen Yang, Xueqiang Xu, Rui Li, Jinfeng Xiao, Jiaming Shen, Jiawei Han
2024	J	`jnl`	Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation. CoRR Jiaming Shen, Ran Xu, Yennie Jun, Zhen Qin, Tianqi Liu, Carl Yang, Yi Liang, Simon Baumgartner, Michael Bendersky
2024	A*	`conf`	Bridging the Gap: Sketch-Aware Interpolation Network for High-Quality Animation Sketch Inbetweening. ACM Multimedia Jiaming Shen, Kun Hu, Wei Bao, Chang Wen Chen, Zhiyong Wang
2024	J	`jnl`	Building Math Agents with Multi-Turn Iterative Preference Learning. CoRR 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
2024	J	`jnl`	ELLK-Net: An Efficient Lightweight Large Kernel Network for SAR Ship Detection. IEEE Trans. Geosci. Remote. Sens. Jiaming Shen, Lin Bai, Yunqi Zhang, Moslema Chowdhuray Momi, Siwen Quan, Zhen Ye
2024	—	`conf`	Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. ACL (1) Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
2024	J	`jnl`	HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multitask Learning. CoRR Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen
2024	B	`conf`	Insurance Anti-fraud based on FL-WOE Encoding for Vertical Federated Learning. IEEE Big Data Wenyou Du, Haihang Wang, Jiaming Shen, Guanglei Meng, He Li, Wei Zhou
2024	J	`jnl`	Integrating Planning into Single-Turn Long-Form Text Generation. CoRR Yi Liang, You Wu, Honglei Zhuang, Li Chen, Jiaming Shen, Yiling Jia, Zhen Qin, Sumit Sanghai, Xuanhui Wang, Carl Yang, Michael Bendersky
2024	A*	`conf`	Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. KDD Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
2024	J	`jnl`	LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification. CoRR Zhen Qin, Junru Wu, Jiaming Shen, Tianqi Liu, Xuanhui Wang
2024	—	`conf`	Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. NAACL-HLT (Findings) Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
2024	J	`jnl`	LiPO: Listwise Preference Optimization through Learning-to-Rank. CoRR 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
2024	—	`conf`	Multilingual Fine-Grained News Headline Hallucination Detection. EMNLP (Findings) Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky
2024	J	`jnl`	Multilingual Fine-Grained News Headline Hallucination Detection. CoRR Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky
2024	—	`conf`	PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. ACL (Findings) Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
2024	J	`jnl`	PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. CoRR Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
2024	—	`conf`	Predicting Text Preference Via Structured Comparative Reasoning. ACL (1) 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	J	`jnl`	RRM: Robust Reward Model Training Mitigates Reward Hacking. CoRR Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasiia Makarova, Jeremiah Z. Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh
2024	J	`jnl`	Research on electromagnetic interference resistance performance of three kinds of CMOS inverters. Frontiers Inf. Technol. Electron. Eng. Fangjun Liu, Jiaming Shen, Jizhong Shen
2024	—	`conf`	Secure Privacy-Preserving SMOTE for Vertical Federated Learning. ADMA (2) Wenyou Du, Haihang Wang, Jiaming Shen, Guanglei Meng, Yuming Guo, Wei Zhou
2024	J	`jnl`	TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision. CoRR Yunyi Zhang, Ruozhen Yang, Xueqiang Xu, Jinfeng Xiao, Jiaming Shen, Jiawei Han
2023	A*	`conf`	"Why is this misleading?": Detecting News Headline Hallucinations with Explanations. WWW Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Mike Bendersky, Marc Najork
2023	J	`jnl`	"Why is this misleading?": Detecting News Headline Hallucinations with Explanations. CoRR Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Michael Bendersky, Marc Najork
2023	—	`conf`	A Lightweight Anchor-Free Detector Using Cross-Dimensional Interactive Feature Balance for SAR Ship Detection. VSIP Jiaming Shen, Lin Bai, Haijuan Wang, Bo Ji, Wenming Cheng, Guocai Zhang
2023	J	`jnl`	Bridging the Gap: Fine-to-Coarse Sketch Interpolation Network for High-Quality Animation Sketch Inbetweening. CoRR Jiaming Shen, Kun Hu, Wei Bao, Chang Wen Chen, Zhiyong Wang
2023	—	`conf`	Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach. ACL (1) Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang
2023	—	`conf`	Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns. ECML/PKDD (4) Sizhe Zhou, Suyu Ge, Jiaming Shen, Jiawei Han
2023	J	`jnl`	Design of current steering logic CMOS circuit. Microelectron. J. Jiaming Shen, Fangjun Liu, Jizhong Shen
2023	J	`jnl`	Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation. CoRR Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
2023	J	`jnl`	Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. CoRR Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
2023	A*	`conf`	HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. SIGIR Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang
2023	J	`jnl`	HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. CoRR Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang
2023	A*	`conf`	Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. NeurIPS Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
2023	J	`jnl`	Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. CoRR Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
2023	J	`jnl`	Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. CoRR Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
2023	A*	`conf`	Local Boosting for Weakly-Supervised Learning. KDD Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang
2023	J	`jnl`	Local Boosting for Weakly-Supervised Learning. CoRR Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang
2023	J	`jnl`	On What Basis? Predicting Text Preference Via Structured Comparative Reasoning. CoRR Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Yao Zhao, Charu Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky
2023	—	`conf`	ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. ACL (Findings) Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
2023	J	`jnl`	ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. CoRR Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
2023	A*	`conf`	Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. KDD Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
2023	—	`conf`	Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters. ACL (1) Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer, Huan Sun
2023	A*	`conf`	Unsupervised Event Chain Mining from Multiple Documents. WWW Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han
2022	—	`book`	Automated Taxonomy Discovery and Exploration Jiaming Shen, Jiawei Han
2022	J	`jnl`	Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach. CoRR Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang
2022	—	`conf`	Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion. ACL (Findings) Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han
2022	J	`jnl`	OmniNeRF: Hybriding Omnidirectional Distance and Radiance fields for Neural Surface Reconstruction. CoRR Jiaming Shen, Bolin Song, Zirui Wu, Yi Xu
2022	—	`conf`	Phrase-aware Unsupervised Constituency Parsing. ACL (1) Xiaotao Gu, Yikang Shen, Jiaming Shen, Jingbo Shang, Jiawei Han
2022	A*	`conf`	TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. WWW Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu
2022	J	`jnl`	TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. CoRR Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu
2022	—	`conf`	Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. EMNLP (Findings) Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han
2022	J	`jnl`	Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. CoRR Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han
2022	J	`jnl`	Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. CoRR Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	J	`jnl`	Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters. CoRR Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer, Huan Sun
2022	A*	`conf`	Unsupervised Key Event Detection from Massive Text Corpora. KDD Yunyi Zhang, Fang Guo, Jiaming Shen, Jiawei Han
2022	J	`jnl`	Unsupervised Key Event Detection from Massive Text Corpora. CoRR Yunyi Zhang, Fang Guo, Jiaming Shen, Jiawei Han
2021	—	`conf`	Corpus-based Open-Domain Event Type Induction. EMNLP (1) Jiaming Shen, Yunyi Zhang, Heng Ji, Jiawei Han
2021	J	`jnl`	Corpus-based Open-Domain Event Type Induction. CoRR Jiaming Shen, Yunyi Zhang, Heng Ji, Jiawei Han
2021	J	`jnl`	Eider: Evidence-enhanced Document-level Relation Extraction. CoRR Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han
2021	J	`jnl`	Integrated Scheduling Strategy for Private Electric Vehicles and Electric Taxis. IEEE Trans. Ind. Informatics Jiaming Shen, Laili Wang, Jialei Zhang
2021	—	`conf`	TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. NAACL-HLT Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han
2021	A*	`conf`	Taxonomy Completion via Triplet Matching Network. AAAI Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li
2021	J	`jnl`	Taxonomy Completion via Triplet Matching Network. CoRR Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li
2021	—	`conf`	Training ELECTRA Augmented with Multi-word Selection. ACL/IJCNLP (Findings) Jiaming Shen, Jialu Liu, Tianqi Liu, Cong Yu, Jiawei Han
2021	J	`jnl`	Training ELECTRA Augmented with Multi-word Selection. CoRR Jiaming Shen, Jialu Liu, Tianqi Liu, Cong Yu, Jiawei Han
2021	J	`jnl`	Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion. CoRR Xiangchen Song, Jiaming Shen, Jieyu Zhang, Jiawei Han
2020	J	`jnl`	Charging Strategy Unifying Spatial-Temporal Coordination of Electric Vehicles. IEEE Access Jialei Zhang, Yunqing Pei, Jiaming Shen, Laili Wang, Tao Ding, Sen Wang
2020	A*	`conf`	Empower Entity Set Expansion via Language Model Probing. ACL Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han
2020	J	`jnl`	Empower Entity Set Expansion via Language Model Probing. CoRR Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han
2020	—	`conf`	FUSE: Multi-faceted Set Expansion by Coherent Clustering of Skip-Grams. ECML/PKDD (3) Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han
2020	A*	`conf`	Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. WWW Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han
2020	J	`jnl`	Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. CoRR Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han
2020	Misc	`conf`	Leveraging Personalized Sentiment Lexicons for Sentiment Analysis. ICTIR Dominic Seyler, Jiaming Shen, Jinfeng Xiao, Yiren Wang, ChengXiang Zhai
2020	—	`conf`	Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. EMNLP (1) Jiaming Shen, Heng Ji, Jiawei Han
2020	J	`jnl`	Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. CoRR Jiaming Shen, Heng Ji, Jiawei Han
2020	A*	`conf`	STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths. KDD Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang
2020	J	`jnl`	STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths. CoRR Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang
2020	—	`conf`	SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. EMNLP (1) Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han
2020	J	`jnl`	SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. CoRR Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han
2020	A*	`conf`	TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. WWW Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han
2020	J	`jnl`	TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. CoRR Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han
2019	A*	`conf`	Constructing and Mining Heterogeneous Information Networks from Massive Text. KDD Jingbo Shang, Jiaming Shen, Liyuan Liu, Jiawei Han
2019	J	`jnl`	CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. CoRR Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han
2019	A	`conf`	Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. CIKM Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han
2019	J	`jnl`	Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. CoRR Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han
2019	—	`conf`	Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis. ACL (1) Junyi Du, He Jiang, Jiaming Shen, Xiang Ren
2019	J	`jnl`	Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis. CoRR Junyi Du, He Jiang, Jiaming Shen, Xiang Ren
2019	J	`jnl`	FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams. CoRR Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han
2019	J	`jnl`	HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. CoRR Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han
2019	A*	`conf`	Mining Entity Synonyms with Efficient Neural Set Generation. AAAI Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han
2019	A	`conf`	Query-Specific Knowledge Summarization with Entity Evolutionary Networks. CIKM Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han
2019	J	`jnl`	Query-Specific Knowledge Summarization with Entity Evolutionary Networks. CoRR Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han
2019	J	`jnl`	SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. CoRR Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han
2019	A*	`conf`	Weakly-Supervised Hierarchical Text Classification. AAAI Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
2018	—	`conf`	End-to-End Reinforcement Learning for Automatic Taxonomy Induction. ACL (1) Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han
2018	J	`jnl`	End-to-End Reinforcement Learning for Automatic Taxonomy Induction. CoRR Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han
2018	A*	`conf`	Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. SIGIR Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han
2018	J	`jnl`	Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. CoRR Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han
2018	A*	`conf`	HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. KDD Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han
2018	A	`conf`	Investigating Rumor News Using Agreement-Aware Search. CIKM Jingbo Shang, Jiaming Shen, Tianhang Sun, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han
2018	J	`jnl`	Investigating Rumor News Using Agreement-Aware Search. CoRR Jingbo Shang, Tianhang Sun, Jiaming Shen, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han
2018	J	`jnl`	Mining Entity Synonyms with Efficient Neural Set Generation. CoRR Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han
2018	A	`conf`	Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CIKM Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler
2018	J	`jnl`	Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CoRR Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler
2018	A*	`conf`	TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. KDD Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han
2018	J	`jnl`	TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. CoRR Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han
2018	J	`jnl`	Weakly-Supervised Hierarchical Text Classification. CoRR Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
2018	A	`conf`	Weakly-Supervised Neural Text Classification. CIKM Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
2018	J	`jnl`	Weakly-Supervised Neural Text Classification. CoRR Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
2017	—	`conf`	Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. ACL (System Demonstrations) 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
2017	—	`conf`	SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. ECML/PKDD (1) Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han
2017	J	`jnl`	Wikidata Vandalism Detection - The Loganberry Vandalism Detector at WSDM Cup 2017. CoRR Qi Zhu, Hongwei Ng, Liyuan Liu, Ziwei Ji, Bingjie Jiang, Jiaming Shen, Huan Gui
2016	—	`conf`	AceMap: A Novel Approach towards Displaying Relationship among Academic Literatures. WWW (Companion Volume) Zhaowei Tan, Changfeng Liu, Yuning Mao, Yunqi Guo, Jiaming Shen, Xinbing Wang
2016	—	`conf`	Modeling Topic-Level Academic Influence in Scientific Literatures. AAAI Workshop: Scholarly Big Data Jiaming Shen, Zhenyu Song, Shitao Li, Zhaowei Tan, Yuning Mao, Luoyi Fu, Li Song, Xinbing Wang
2016	—	`conf`	Text Network Exploration via Heterogeneous Web of Topics. ICDM Workshops Junxian He, Ying Huang, Changfeng Liu, Jiaming Shen, Yuting Jia, Xinbing Wang
2016	J	`jnl`	Text Network Exploration via Heterogeneous Web of Topics. CoRR Junxian He, Ying Huang, Changfeng Liu, Jiaming Shen, Yuting Jia, Xinbing Wang