Qi He - RankMe

108 papers A* 21A 13B 3Journal 49Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DiffKGW: Stealthy and Robust Diffusion Model Watermarking. Trans. Mach. Learn. Res. Tianxin Wei, Ruizhong Qiu, Yifan Chen, Yunzhe Qi, Jiacheng Lin, Wenxuan Bao, Wenju Xu, Sreyashi Nag, Ruirui Li, Hanqing Lu, Zhengyang Wang, Chen Luo, Hui Liu, Suhang Wang, Jingrui He, Qi He, Xianfeng Tang
2026	J	`jnl`	EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering for Enhanced Alignment and Reasoning. CoRR Mingyang Wei, Dehai Min, Zewen Liu, Yuzhang Xie, Guanchen Wu, Carl Yang, Max S. Y. Lau, Qi He, Lu Cheng, Wei Jin
2026	J	`jnl`	How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use. CoRR Minhua Lin, Enyan Dai, Hui Liu, Xianfeng Tang, Yuliang Yan, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Fali Wang, Hongcheng Gao, Chen Luo, Xiang Zhang, Qi He, Suhang Wang
2026	J	`jnl`	MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution. CoRR Minhua Lin, Zhiwei Zhang, Hanqing Lu, Hui Liu, Xianfeng Tang, Qi He, Xiang Zhang, Suhang Wang
2026	J	`jnl`	STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning. CoRR Juntong Ni, Shiyu Wang, Ming Jin, Qi He, Wei Jin
2025	J	`jnl`	A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness. ACM Trans. Intell. Syst. Technol. Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, Wanjing Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi He, Yao Ma, Ming Huang, Suhang Wang
2025	J	`jnl`	A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications. CoRR Minhua Lin, Zongyu Wu, Zhichao Xu, Hui Liu, Xianfeng Tang, Qi He, Charu C. Aggarwal, Xiang Zhang, Suhang Wang
2025	—	`conf`	A General Framework to Enhance Fine-tuning-based LLM Unlearning. ACL (Findings) Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He
2025	J	`jnl`	A General Framework to Enhance Fine-tuning-based LLM Unlearning. CoRR Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He
2025	—	`conf`	A Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness. KDD (2) Fali Wang, Minhua Lin, Yao Ma, Hui Liu, Qi He, Xianfeng Tang, Jiliang Tang, Jian Pei, Suhang Wang
2025	A	`conf`	A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration. AISTATS Yingqian Cui, Pengfei He, Xianfeng Tang, Qi He, Chen Luo, Jiliang Tang, Yue Xing
2025	J	`jnl`	AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks. CoRR Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zheng Li, Xianfeng Tang, Qi He, Suhang Wang
2025	J	`jnl`	Attention Knows Whom to Trust: Attention-based Trust Management for LLM Multi-Agent Systems. CoRR Pengfei He, Zhenwei Dai, Xianfeng Tang, Yue Xing, Hui Liu, Jingying Zeng, Qiankun Peng, Shrivats Agrawal, Samarth Varshney, Suhang Wang, Jiliang Tang, Qi He
2025	J	`jnl`	Beyond Believability: Accurate Human Behavior Simulation with Fine-Tuned LLMs. CoRR Yuxuan Lu, Jing Huang, Yan Han, Bennet Bei, Yaochen Xie, Dakuo Wang, Zheshen Jessie Wang, Qi He
2025	J	`jnl`	Bradley-Terry and Multi-Objective Reward Modeling Are Complementary. CoRR Zhiwei Zhang, Hui Liu, Xiaomin Li, Zhenwei Dai, Jingying Zeng, Fali Wang, Minhua Lin, Ramraj Chandradevan, Zheng Li, Chen Luo, Xianfeng Tang, Qi He, Suhang Wang
2025	A*	`conf`	Catastrophic Failure of LLM Unlearning via Quantization. ICLR Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
2025	J	`jnl`	Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents. CoRR Jingying Zeng, Hui Liu, Zhenwei Dai, Xianfeng Tang, Chen Luo, Samarth Varshney, Zhen Li, Qi He
2025	—	`conf`	Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions? ACL (Findings) Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang
2025	J	`jnl`	Does Multimodal Large Language Model Truly Unlearn? Stealthy MLLM Unlearning Attack. CoRR Xianren Zhang, Hui Liu, Delvin Ce Zhang, Xianfeng Tang, Qi He, Dongwon Lee, Suhang Wang
2025	A*	`conf`	Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. SIGIR Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zhen Li, Qi He, Xianfeng Tang
2025	J	`jnl`	Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. CoRR Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zheng Li, Qi He, Xianfeng Tang
2025	J	`jnl`	Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph. CoRR Fali Wang, Jihai Chen, Shuhua Yang, Runxue Bao, Tianxiang Zhao, Zhiwei Zhang, Xianfeng Tang, Hui Liu, Qi He, Suhang Wang
2025	J	`jnl`	How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities. CoRR Minhua Lin, Hui Liu, Xianfeng Tang, Jingying Zeng, Zhenwei Dai, Chen Luo, Zheng Li, Xiang Zhang, Qi He, Suhang Wang
2025	J	`jnl`	Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. CoRR Jie Ren, Zhenwei Dai, Xianfeng Tang, Yue Xing, Shenglai Zeng, Hui Liu, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu C. Aggarwal
2025	A*	`conf`	Language Model Alignment for Conversational Shopping at Amazon. SIGIR Chen Luo, Dimitri Papadimitriou, Hariharan Muralidharan, Dhineshkumar Ramasubbu, Aakash Kolekar, Wenju Xu, Cong Xu, Anirudh Srinivasan, Mukesh Jain, Qi He
2025	—	`conf`	Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data. NAACL (Findings) Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang
2025	—	`conf`	Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning. ACL (Findings) Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
2025	J	`jnl`	Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning. CoRR Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
2025	J	`jnl`	Retrieval-Augmented Generation with Graphs (GraphRAG). CoRR Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang
2025	A*	`conf`	SUA: Stealthy Multimodal Large Language Model Unlearning Attack. EMNLP Xianren Zhang, Hui Liu, Delvin Ce Zhang, Xianfeng Tang, Qi He, Dongwon Lee, Suhang Wang
2025	—	`conf`	SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. NAACL (Long Papers) Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He
2025	—	`conf`	Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. ACL (Findings) Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He
2025	J	`jnl`	Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. CoRR Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zheng Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He
2025	—	`conf`	The 2nd Workshop on Large Language Models for E-Commerce. KDD (2) Haoyu Han, Fali Wang, Chen Luo, Hui Liu, Jing Huang, Zhen Li, Zhenwei Dai, Qi He, Yiwei Sun, Dawei Yin, Suhang Wang, Jiliang Tang, Jian Pei, Xianfeng Tang
2025	—	`conf`	To Answer or Not to Answer (TAONA): A Robust Textual Graph Understanding and Question Answering Approach. EMNLP (Findings) Yuchen Yan, Aakash Kolekar, Sahika Genc, Wenju Xu, Edward W. Huang, Anirudh Srinivasan, Mukesh Jain, Qi He, Hanghang Tong
2025	J	`jnl`	UXAgent: A System for Simulating Usability Testing of Web Design with LLM Agents. CoRR Yuxuan Lu, Bingsheng Yao, Hansu Gu, Jing Huang, Jessie Wang, Yang Li, Jiri Gesi, Qi He, Toby Jia-Jun Li, Dakuo Wang
2025	—	`conf`	UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design. CHI Extended Abstracts Yuxuan Lu, Bingsheng Yao, Hansu Gu, Jing Huang, Zheshen Jessie Wang, Yang Li, Jiri Gesi, Qi He, Toby Jia-Jun Li, Dakuo Wang
2025	J	`jnl`	UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design. CoRR Yuxuan Lu, Bingsheng Yao, Hansu Gu, Jing Huang, Zheshen Jessie Wang, Laurence Li, Jiri Gesi, Qi He, Toby Jia-Jun Li, Dakuo Wang
2025	J	`jnl`	Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation. CoRR Zhiwei Zhang, Xiaomin Li, Yudi Lin, Hui Liu, Ramraj Chandradevan, Linlin Wu, Minhua Lin, Fali Wang, Xianfeng Tang, Qi He, Suhang Wang
2024	J	`jnl`	A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness. CoRR Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, Wanjing Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi He, Yao Ma, Ming Huang, Suhang Wang
2024	J	`jnl`	A Survey of Calibration Process for Black-Box LLMs. CoRR Liangru Xie, Hui Liu, Jingying Zeng, Xianfeng Tang, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Qi He
2024	J	`jnl`	A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration. CoRR Yingqian Cui, Pengfei He, Xianfeng Tang, Qi He, Chen Luo, Jiliang Tang, Yue Xing
2024	J	`jnl`	Divide-Verify-Refine: Aligning LLM Responses with Complex Instructions. CoRR Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang
2024	J	`jnl`	Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge. CoRR Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
2024	B	`conf`	Exploring Query Understanding for Amazon Product Search. IEEE Big Data Chen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He
2024	J	`jnl`	Exploring Query Understanding for Amazon Product Search. CoRR Chen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He
2024	J	`jnl`	FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently. CoRR Zicun Cong, Baoxu Shi, Shan Li, Jaewon Yang, Qi He, Jian Pei
2024	J	`jnl`	FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently. IEEE Trans. Knowl. Data Eng. Zicun Cong, Baoxu Shi, Shan Li, Jaewon Yang, Qi He, Jian Pei
2024	J	`jnl`	Intention Knowledge Graph Construction for User Intention Relation Modeling. CoRR Jiaxin Bai, Zhaobo Wang, Junfei Cheng, Dan Yu, Zerui Huang, Weiqi Wang, Xin Liu, Chen Luo, Qi He, Yanming Zhu, Bo Li, Yangqiu Song
2024	J	`jnl`	Large Language Models for Social Networks: Applications, Challenges, and Solutions. CoRR Jingying Zeng, Richard Huang, Waleed Malik, Langxuan Yin, Bojan Babic, Danny Shacham, Xiao Yan, Jaewon Yang, Qi He
2024	J	`jnl`	Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data. CoRR Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang
2024	J	`jnl`	SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. CoRR Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He
2024	—	`conf`	Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting. WWW (Companion Volume) Yan Han, Kaiqi Chen, Shan Li, Ji Yan, Baoxu Shi, Lei Zhang, Fei Chen, Jaewon Yang, Yunpeng Xu, Xiaoqiang Luo, Qi He, Ying Ding, Zhangyang Wang
2023	J	`jnl`	Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling. CoRR Jingying Zeng, Jaewon Yang, Waleed Malik, Xiao Yan, Richard Huang, Qi He
2021	A	`conf`	Contextual Skill Proficiency via Multi-task Learning at LinkedIn. CIKM Xiao Yan, Ada Ma, Jaewon Yang, Lin Zhu, How Jing, Jacob Bollinger, Qi He
2021	A*	`conf`	Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks. KDD Minji Yoon, Théophile Gervet, Baoxu Shi, Sufeng Niu, Qi He, Jaewon Yang
2020	—	`conf`	Constructing Knowledge Graph for Social Networks in A Deep and Holistic Way. WWW (Companion Volume) Qi He, Jaewon Yang, Baoxu Shi
2020	A*	`conf`	Deep Job Understanding at LinkedIn. SIGIR Shan Li, Baoxu Shi, Jaewon Yang, Ji Yan, Shuai Wang, Fei Chen, Qi He
2020	J	`jnl`	Deep Job Understanding at LinkedIn. CoRR Shan Li, Baoxu Shi, Jaewon Yang, Ji Yan, Shuai Wang, Fei Chen, Qi He
2020	A*	`conf`	Learning to Ask Screening Questions for Job Postings. SIGIR Baoxu Shi, Shan Li, Jaewon Yang, Mustafa Emre Kazdagli, Qi He
2020	J	`jnl`	Learning to Ask Screening Questions for Job Postings. CoRR Baoxu Shi, Shan Li, Jaewon Yang, Mustafa Emre Kazdagli, Qi He
2020	A*	`conf`	Salience and Market-aware Skill Extraction for Job Targeting. KDD Baoxu Shi, Jaewon Yang, Feng Guo, Qi He
2020	J	`jnl`	Salience and Market-aware Skill Extraction for Job Targeting. CoRR Baoxu Shi, Jaewon Yang, Feng Guo, Qi He
2019	—	`conf`	Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections. IEEE BigData Baoxu Shi, Jaewon Yang, Tim Weninger, How Jing, Qi He
2019	J	`jnl`	Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections. CoRR Baoxu Shi, Jaewon Yang, Tim Weninger, How Jing, Qi He
2019	A*	`conf`	Social Skill Validation at LinkedIn. KDD Xiao Yan, Jaewon Yang, Mikhail Obukhov, Lin Zhu, Joey Bai, Shiqi Wu, Qi He
2017	—	`conf`	NEMO: Next Career Move Prediction with Contextual Embedding. WWW (Companion Volume) Liangyue Li, How Jing, Hanghang Tong, Jaewon Yang, Qi He, Bee-Chung Chen
2016	J	`jnl`	It takes two to tango: Exploring social tie development with both online and offline interactions. Stat. Anal. Data Min. Peifeng Yin, Qi He, Xingjie Liu, Wang-Chien Lee
2015	J	`jnl`	Mining strong relevance between heterogeneous entities from unstructured biomedical data. Data Min. Knowl. Discov. Ming Ji, Qi He, Jiawei Han, W. Scott Spangler
2015	A*	`conf`	Personalizing LinkedIn Feed. KDD Deepak Agarwal, Bee-Chung Chen, Qi He, Zhenhao Hua, Guy Lebanon, Yiming Ma, Pannagadatta Shivaswamy, Hsiao-Ping Tseng, Jaewon Yang, Liang Zhang
2015	J	`jnl`	Tweet Segmentation and Its Application to Named Entity Recognition. IEEE Trans. Knowl. Data Eng. Chenliang Li, Aixin Sun, Jianshu Weng, Qi He
2014	A*	`conf`	Activity ranking in LinkedIn feed. KDD Deepak Agarwal, Bee-Chung Chen, Rupesh Gupta, Joshua Hartman, Qi He, Anand Iyer, Sumanth Kolar, Yiming Ma, Pannagadatta Shivaswamy, Ajit Singh, Liang Zhang
2014	A	`conf`	Distributed Graph Summarization. CIKM Xingjie Liu, Yuanyuan Tian, Qi He, Wang-Chien Lee, John McPherson
2014	J	`jnl`	Introduction to the Special Issue on Linking Social Granularity and Functions. ACM Trans. Intell. Syst. Technol. Qi He, Juanzi Li, Rong Yan, John Yen, Haizheng Zhang
2014	A	`conf`	It Takes Two to Tango: Exploring Social Tie Development with Both Online and Offline Interactions. SDM Peifeng Yin, Qi He, Xingjie Liu, Wang-Chien Lee
2014	J	`jnl`	Task Trail: An Effective Segmentation of User Search Behavior. IEEE Trans. Knowl. Data Eng. Zhen Liao, Yang Song, Yalou Huang, Li-wei He, Qi He
2013	A	`ed.`	22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013 CIKM Qi He, Arun Iyengar, Wolfgang Nejdl, Jian Pei, Rajeev Rastogi
2013	A*	`conf`	Exploiting hybrid contexts for Tweet segmentation. SIGIR Chenliang Li, Aixin Sun, Jianshu Weng, Qi He
2013	—	`ed.`	Proceedings of the 7th Workshop on Social Network Mining and Analysis, SNAKDD 2013, Chicago, IL, USA, August 11, 2013 SNAKDD Feida Zhu, Qi He, Rong Yan, John Yen
2012	A	`conf`	A scalable approach for performing proximal search for verbose patent search queries. CIKM Sumit Bhatia, Bin He, Qi He, W. Scott Spangler
2012	A*	`conf`	Event-based social networks: linking the online and offline social worlds. KDD Xingjie Liu, Qi He, Yuanyuan Tian, Wang-Chien Lee, John McPherson, Jiawei Han
2012	—	`conf`	Prospective Client Driven Technology Recommendation. SRII Global Conference Qi He, W. Scott Spangler, Bin He, Ying Chen, Linda Kato
2012	A*	`conf`	TwiNER: named entity recognition in targeted twitter stream. SIGIR Chenliang Li, Jianshu Weng, Qi He, Yuxia Yao, Anwitaman Datta, Aixin Sun, Bu-Sung Lee
2011	A	`conf`	Citation recommendation without author supervision. WSDM Qi He, Daniel Kifer, Jian Pei, Prasenjit Mitra, C. Lee Giles
2011	A*	`conf`	Evolution of Node Behavior in Link Prediction. AAAI Baojun Qiu, Qi He, John Yen
2010	A	`conf`	Boosting social network connectivity with link revival. CIKM Yuan Tian, Qi He, Qiankun Zhao, Xingjie Liu, Wang-Chien Lee
2010	A	`conf`	Communication motifs: a tool to characterize social communications. CIKM Qiankun Zhao, Yuan Tian, Qi He, Nuria Oliver, Ruoming Jin, Wang-Chien Lee
2010	A*	`conf`	Context-aware citation recommendation. WWW Qi He, Jian Pei, Daniel Kifer, Prasenjit Mitra, C. Lee Giles
2010	J	`jnl`	Keep It Simple with Time: A Reexamination of Probabilistic Topic Detection Models. IEEE Trans. Pattern Anal. Mach. Intell. Qi He, Kuiyu Chang, Ee-Peng Lim, Arindam Banerjee
2010	A	`conf`	TwitterRank: finding topic-sensitive influential twitterers. WSDM Jianshu Weng, Ee-Peng Lim, Jing Jiang, Qi He
2010	A*	`conf`	What Do People Want in Microblogs? Measuring Interestingness of Hashtags in Twitter. ICDM Jianshu Weng, Ee-Peng Lim, Qi He, Cane Wing-Ki Leung
2009	A	`conf`	Detecting topic evolution in scientific literature: how can citations help? CIKM Qi He, Bi Chen, Jian Pei, Baojun Qiu, Prasenjit Mitra, C. Lee Giles
2009	—	`—`	Topical analysis of text streams Qi He
2009	A*	`conf`	Web Query Recommendation via Sequential Query Prediction. ICDE Qi He, Daxin Jiang, Zhen Liao, Steven C. H. Hoi, Kuiyu Chang, Ee-Peng Lim, Hang Li
2008	A*	`conf`	Context-aware query suggestion by mining click-through and session data. KDD Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen Liao, Enhong Chen, Hang Li
2008	—	`ch.`	Modeling Anticipatory Event Transitions. Intelligence and Security Informatics Qi He, Kuiyu Chang, Ee-Peng Lim
2007	A*	`conf`	Analyzing feature trajectories for event detection. SIGIR Qi He, Kuiyu Chang, Ee-Peng Lim
2007	—	`conf`	Anticipatory Event Detection for Bursty Events. PAISI Kuiyu Chang, Qi He, Ridzwan Aminuddin, Ridzwan Suri, Ee-Peng Lim
2007	J	`jnl`	Anticipatory event detection via classification. Inf. Syst. E Bus. Manag. Qi He, Kuiyu Chang, Ee-Peng Lim
2007	A	`conf`	Bursty Feature Representation for Clustering Text Streams. SDM Qi He, Kuiyu Chang, Ee-Peng Lim, Jun Zhang
2007	B	`conf`	Modeling Anticipatory Event Transitions. PAKDD Ridzwan Aminuddin, Ridzwan Suri, Kuiyu Chang, Zaki Zainudin, Qi He, Ee-Peng Lim
2007	A*	`conf`	Using Burstiness to Improve Clustering of Topics in News Streams. ICDM Qi He, Kuiyu Chang, Ee-Peng Lim
2006	A	`conf`	A Model for Anticipatory Event Detection. ER Qi He, Kuiyu Chang, Ee-Peng Lim
2006	J	`jnl`	A new dependable exchange protocol. Comput. Commun. Hao Wang, Heqing Guo, Manshan Lin, Jianfei Yin, Qi He, Jun Zhang
2006	B	`conf`	Anticipatory Event Detection via Sentence Classification. SMC Qi He, Kuiyu Chang, Ee-Peng Lim
2005	—	`conf`	Abuse-Free Item Exchange. ICCSA (4) Hao Wang, Heqing Guo, Jianfei Yin, Qi He, Manshan Lin, Jun Zhang
2005	—	`conf`	An information extraction engine for web discussion forums. WWW (Special interest tracks and posters) Hanny Yulius Limanto, Nguyen Ngoc Giang, Vo Tan Trung, Jun Zhang, Qi He, Quang Huy Nguyen
2005	—	`conf`	Dependable Transaction for Electronic Commerce. ICCSA (3) Hao Wang, Heqing Guo, Manshan Lin, Jianfei Yin, Qi He, Jun Zhang