Xuan Wang - RankMe

68 papers A* 7B 1Journal 34Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeepEvidence: Empowering Biomedical Discovery with Deep Knowledge Graph Research. CoRR Zifeng Wang, Zheng Chen, Ziwei Yang, Xuan Wang, Qiao Jin, Yifan Peng, Zhiyong Lu, Jimeng Sun
2026	J	`jnl`	EffGen: Enabling Small Language Models as Capable Autonomous Agents. CoRR Gaurav Srivastava, Aafiya Hussain, Chi Wang, Yingyan Celine Lin, Xuan Wang
2026	A*	`conf`	JudgeBoard: Benchmarking and Enhancing Small Language Models for Reasoning Evaluation. AAAI Zhenyu Bi, Gaurav Srivastava, Yang Li, Swastik Roy, Meng Lu, Morteza Ziyadi, Xuan Wang
2026	J	`jnl`	Natural language processing of biomedical text to map and prioritize protein-disease associations in HFpEF. Comput. Biol. Medicine Clodomir J. Santana Jr., Chitra Mukherjee, Arnib Quazi, Ronaldo Menezes, Vladimir Filkov, Dibakar Sigdel, Howard Choi, Imo Ebong, Padmini Sirish, Nicholas R. Anderson, Xuan Wang, Heng Ji, Jiawei Han, Baback Roshanravan, Leighton T. Izu, Thomas W. Smith, Nipavan Chiamvimonvat, Colleen E. Clancy, Martin Cadeiras, David Liem
2025	J	`jnl`	Agentic Reasoning and Refinement through Semantic Interaction. CoRR Xuxin Tang, Rehema Abulikemu, Eric Krokos, Kirsten Whitley, Xuan Wang, Chris North
2025	J	`jnl`	BeyondBench: Benchmark-Free Evaluation of Reasoning in Language Models. CoRR Gaurav Srivastava, Aafiya Hussain, Zhenyu Bi, Swastik Roy, Priya Pitre, Meng Lu, Morteza Ziyadi, Xuan Wang
2025	J	`jnl`	BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models. CoRR Yi Fang, Haoran Xu, Jiaxin Han, Sirui Ding, Yizhi Wang, Yue Wang, Xuan Wang
2025	J	`jnl`	Bridging Literature and the Universe Via A Multi-Agent Large Language Model System. CoRR Xiaowen Zhang, Zhenyu Bi, Patrick Lachance, Xuan Wang, Tiziana di Matteo, Rupert A. C. Croft
2025	—	`conf`	CONSENSAGENT: Towards Efficient and Effective Consensus in Multi-Agent LLM Interactions Through Sycophancy Mitigation. ACL (Findings) Priya Pitre, Naren Ramakrishnan, Xuan Wang
2025	—	`conf`	CROSSAGENTIE: Cross-Type and Cross-Task Multi-Agent LLM Collaboration for Zero-Shot Information Extraction. ACL (Findings) Meng Lu, Yuzhang Xie, Zhenyu Bi, Shuxiang Cao, Xuan Wang
2025	J	`jnl`	DEBATE, TRAIN, EVOLVE: Self Evolution of Language Model Reasoning. CoRR Gaurav Srivastava, Zhenyu Bi, Meng Lu, Xuan Wang
2025	A*	`conf`	DEBATE, TRAIN, EVOLVE: Self-Evolution of Language Model Reasoning. EMNLP Gaurav Srivastava, Zhenyu Bi, Meng Lu, Xuan Wang
2025	J	`jnl`	Hindsight is 20/20: Building Agent Memory that Retains, Recalls, and Reflects. CoRR Chris Latimer, Nicoló Boschi, Andrew Neeser, Chris Bartholomew, Gaurav Srivastava, Xuan Wang, Naren Ramakrishnan
2025	J	`jnl`	JudgeBoard: Benchmarking and Enhancing Small Language Models for Reasoning Evaluation. CoRR Zhenyu Bi, Gaurav Srivastava, Yang Li, Meng Lu, Swastik Roy, Morteza Ziyadi, Xuan Wang
2025	J	`jnl`	LLMThinkBench: Towards Basic Math Reasoning and Overthinking in Large Language Models. CoRR Gaurav Srivastava, Aafiya Hussain, Sriram Srinivasan, Xuan Wang
2025	—	`conf`	OPTAGENT: Optimizing Multi-Agent LLM Interactions Through Verbal Reinforcement Learning for Enhanced Reasoning. IJCNLP-AACL (Findings) Zhenyu Bi, Meng Lu, Yang Li, Swastik Roy, Weijie Guan, Morteza Ziyadi, Xuan Wang
2025	J	`jnl`	OPTAGENT: Optimizing Multi-Agent LLM Interactions Through Verbal Reinforcement Learning for Enhanced Reasoning. CoRR Zhenyu Bi, Meng Lu, Yang Li, Swastik Roy, Weijie Guan, Morteza Ziyadi, Xuan Wang
2025	J	`jnl`	Prediction of gene regulatory connections with joint single-cell foundation models and graph-based learning. Bioinform. Sindhura Kommu, Yizhi Wang, Yue Wang, Xuan Wang
2025	J	`jnl`	Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs. CoRR Meng Lu, Ran Xu, Yi Fang, Wenxuan Zhang, Yue Yu, Gaurav Srivastava, Yuchen Zhuang, Mohamed Elhoseiny, Charles Fleming, Carl Yang, Zhengzhong Tu, Yang Xie, Guanghua Xiao, Hanrui Wang, Di Jin, Wenqi Shi, Xuan Wang
2025	A*	`conf`	ThinkSLM: Towards Reasoning in Small Language Models. EMNLP Gaurav Srivastava, Shuxiang Cao, Xuan Wang
2024	J	`jnl`	AI for Biomedicine in the Era of Large Language Models. CoRR Zhenyu Bi, Sajib Acharjee Dip, Daniel Hajialigol, Sindhura Kommu, Hanwen Liu, Meng Lu, Xuan Wang
2024	—	`conf`	AI for Science in the Era of Large Language Models. EMNLP (Tutorial Abstracts) Zhenyu Bi, Minghao Xu, Jian Tang, Xuan Wang
2024	J	`jnl`	EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer. CoRR Hanwen Liu, Daniel Hajialigol, Benny Antony, Aiguo Han, Xuan Wang
2024	B	`conf`	EEG2Text: Open Vocabulary EEG-to-Text Translation with Multi-View Transformer. IEEE Big Data Hanwen Liu, Daniel Hajialigol, Benny Antony, Aiguo Han, Xuan Wang
2024	A*	`conf`	OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing. KDD Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han
2024	J	`jnl`	PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model. CoRR Sajib Acharjee Dip, Uddip Acharjee Shuvo, Tran Chau, Haoqiu Song, Petra Choi, Xuan Wang, Liqing Zhang
2024	J	`jnl`	STOC-TOT: Stochastic Tree-of-Thought with Constrained Decoding for Complex Reasoning in Multi-Hop Question Answering. CoRR Zhenyu Bi, Daniel Hajialigol, Zhongkai Sun, Jie Hao, Xuan Wang
2024	—	`conf`	TTM-RE: Memory-Augmented Document-Level Relation Extraction. ACL (1) Chufan Gao, Xuan Wang, Jimeng Sun
2024	J	`jnl`	TTM-RE: Memory-Augmented Document-Level Relation Extraction. CoRR Chufan Gao, Xuan Wang, Jimeng Sun
2023	—	`conf`	DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups. EMNLP (Demos) Daniel Hajialigol, Derek Kaknes, Tanner Barbour, Daphne Yao, Chris North, Jimeng Sun, David Liem, Xuan Wang
2023	—	`conf`	MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities. EMNLP (Findings) Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han
2023	J	`jnl`	MEGClass: Text Classification with Extremely Weak Supervision via Mutually-Enhancing Text Granularities. CoRR Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han
2023	J	`jnl`	OntoType: Ontology-Guided Zero-Shot Fine-Grained Entity Typing with Weak Supervision from Pre-Trained Language Models. CoRR Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han
2023	J	`jnl`	PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming. CoRR Chufan Gao, Xulin Fan, Jimeng Sun, Xuan Wang
2023	—	`conf`	ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. ACL (Findings) Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han
2023	J	`jnl`	ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. CoRR Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han
2023	—	`conf`	Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data. EMNLP (Demos) Ming Zhong, Siru Ouyang, Yizhu Jiao, Priyanka Kargupta, Leo Luo, Yanzhen Shen, Bobby Zhou, Xianrui Zhong, Xuan Liu, Hongxiang Li, Jinfeng Xiao, Minhao Jiang, Vivian Hu, Xuan Wang, Heng Ji, Martin D. Burke, Huimin Zhao, Jiawei Han
2023	—	`conf`	Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. ACL (Findings) Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han
2023	J	`jnl`	Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. CoRR Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han
2023	J	`jnl`	XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision. CoRR Daniel Hajialigol, Hanwen Liu, Xuan Wang
2022	—	`conf`	Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022	A*	`conf`	New Frontiers of Scientific Text Mining: Tasks, Data, and Tools. KDD Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han
2022	—	`conf`	REACTCLASS: Cross-Modal Supervision for Subword-Guided Reactant Entity Classification. BIBM Xuan Wang, Vivian Hu, Minhao Jiang, Yu Zhang, Jinfeng Xiao, Danielle Cherrice Loving, Heng Ji, Martin D. Burke, Jiawei Han
2022	—	`conf`	Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. NAACL-HLT Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han
2022	J	`jnl`	Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. CoRR Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han
2021	—	`conf`	COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. NAACL-HLT (Demonstrations) Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi R. Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed ElSayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych
2021	—	`conf`	ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision. EMNLP (1) Xuan Wang, Vivian Hu, Xiangchen Song, Shweta Garg, Jinfeng Xiao, Jiawei Han
2021	—	`conf`	Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. EMNLP (1) Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han
2021	J	`jnl`	Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. CoRR Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han
2021	—	`conf`	InterHG: an Interpretable and Accurate Model for Hypothesis Generation. BIBM Haoyu Wang, Xuan Wang, Yaqing Wang, Guangxu Xun, Kishlay Jha, Jing Gao
2020	J	`jnl`	Automatic Textual Evidence Mining in COVID-19 Literature. CoRR Xuan Wang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Jiawei Han
2020	J	`jnl`	COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. CoRR Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed ElSayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych
2020	J	`jnl`	Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision. CoRR Xuan Wang, Xiangchen Song, Yingjun Guan, Bangzheng Li, Jiawei Han
2020	—	`conf`	EVIDENCEMINER: Textual Evidence Discovery for Life Sciences. ACL (demo) Xuan Wang, Yingjun Guan, Weili Liu, Aabhas Chauhan, Enyi Jiang, Qi Li, David Liem, Dibakar Sigdel, John Caufield, Peipei Ping, Jiawei Han
2020	—	`conf`	Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature. BIBM Xuan Wang, Xiangchen Song, Bangzheng Li, Kang Zhou, Qi Li, Jiawei Han
2020	A*	`conf`	Minimally Supervised Categorization of Text with Metadata. SIGIR Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
2020	J	`jnl`	Minimally Supervised Categorization of Text with Metadata. CoRR Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
2020	—	`conf`	Pattern-enhanced Named Entity Recognition with Distant Supervision. IEEE BigData Xuan Wang, Yingjun Guan, Yu Zhang, Qi Li, Jiawei Han
2020	—	`conf`	Textual Evidence Mining via Spherical Heterogeneous Information Network Embedding. IEEE BigData Xuan Wang, Yu Zhang, Aabhas Chauhan, Qi Li, Jiawei Han
2019	J	`jnl`	Cross-type biomedical named entity recognition with deep multi-task learning. Bioinform. Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han
2019	—	`conf`	Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion. BIBM Xuan Wang, Yu Zhang, Qi Li, Xiang Ren, Jingbo Shang, Jiawei Han
2019	A*	`conf`	HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. ICDM Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han
2019	J	`jnl`	HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. CoRR Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han
2018	J	`jnl`	Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning. CoRR Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han
2018	—	`conf`	Open Information Extraction with Meta-pattern Discovery in Biomedical Literature. BCB Xuan Wang, Yu Zhang, Qi Li, Yinyin Chen, Jiawei Han
2018	—	`conf`	PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature. BIBM Xuan Wang, Yu Zhang, Qi Li, Cathy H. Wu, Jiawei Han
2018	—	`conf`	Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature. BIBM Qi Li, Xuan Wang, Yu Zhang, Fei Ling, Cathy H. Wu, 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