Qi He

According to our database, Qi He authored at least 83 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks.

Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zheng Li, Xianfeng Tang, Qi He, Suhang Wang

CoRR, August, 2025

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary.

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

CoRR, July, 2025

Does Multimodal Large Language Model Truly Unlearn? Stealthy MLLM Unlearning Attack.

Xianren Zhang, Hui Liu, Delvin Ce Zhang, Xianfeng Tang, Qi He, Dongwon Lee, Suhang Wang

CoRR, June, 2025

Attention Knows Whom to Trust: Attention-based Trust Management for LLM Multi-Agent Systems.

Pengfei He, Zhenwei Dai, Xianfeng Tang, Yue Xing, Hui Liu, Jingying Zeng, Qiankun Peng, Shrivats Agrawal, Samarth Varshney, Suhang Wang, Jiliang Tang, Qi He

CoRR, June, 2025

Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy.

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, Hui Liu

CoRR, June, 2025

UXAgent: A System for Simulating Usability Testing of Web Design with LLM Agents.

Yuxuan Lu, Bingsheng Yao, Hansu Gu, Jing Huang, Jessie Wang, Yang Li, Jiri Gesi, Qi He, Toby Jia-Jun Li, Dakuo Wang

CoRR, April, 2025

Beyond Believability: Accurate Human Behavior Simulation with Fine-Tuned LLMs.

Yuxuan Lu, Jing Huang, Yan Han, Bennet Bei, Yaochen Xie, Dakuo Wang, Zheshen Jessie Wang, Qi He

CoRR, March, 2025

Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce.

Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zheng Li, Qi He, Xianfeng Tang

CoRR, March, 2025

Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents.

Jingying Zeng, Hui Liu, Zhenwei Dai, Xianfeng Tang, Chen Luo, Samarth Varshney, Zhen Li, Qi He

CoRR, March, 2025

How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities.

Minhua Lin, Hui Liu, Xianfeng Tang, Jingying Zeng, Zhenwei Dai, Chen Luo, Zheng Li, Xiang Zhang, Qi He, Suhang Wang

CoRR, February, 2025

A General Framework to Enhance Fine-tuning-based LLM Unlearning.

Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He

CoRR, February, 2025

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models.

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

CoRR, February, 2025

UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design.

Yuxuan Lu, Bingsheng Yao, Hansu Gu, Jing Huang, Zheshen Jessie Wang, Laurence Li, Jiri Gesi, Qi He, Toby Jia-Jun Li, Dakuo Wang

CoRR, February, 2025

Retrieval-Augmented Generation with Graphs (GraphRAG).

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

CoRR, January, 2025

Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce.

Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zhen Li, Qi He, Xianfeng Tang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Language Model Alignment for Conversational Shopping at Amazon.

Chen Luo, Dimitri Papadimitriou, Hariharan Muralidharan, Dhineshkumar Ramasubbu, Aakash Kolekar, Wenju Xu, Cong Xu, Anirudh Srinivasan, Mukesh Jain, Qi He

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.

Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data.

Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Catastrophic Failure of LLM Unlearning via Quantization.

Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design.

Yuxuan Lu, Bingsheng Yao, Hansu Gu, Jing Huang, Zheshen Jessie Wang, Yang Li, Jiri Gesi, Qi He, Toby Jia-Jun Li, Dakuo Wang

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration.

Yingqian Cui, Pengfei He, Xianfeng Tang, Qi He, Chen Luo, Jiliang Tang, Yue Xing

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions?

Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models.

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

A General Framework to Enhance Fine-tuning-based LLM Unlearning.

Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning.

Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently.

Zicun Cong, Baoxu Shi, Shan Li, Jaewon Yang, Qi He, Jian Pei

IEEE Trans. Knowl. Data Eng., April, 2024

A Survey of Calibration Process for Black-Box LLMs.

Liangru Xie, Hui Liu, Jingying Zeng, Xianfeng Tang, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Qi He

CoRR, 2024

Intention Knowledge Graph Construction for User Intention Relation Modeling.

Jiaxin Bai, Zhaobo Wang, Junfei Cheng, Dan Yu, Zerui Huang, Weiqi Wang, Xin Liu, Chen Luo, Qi He, Yanming Zhu, Bo Li, Yangqiu Song

CoRR, 2024

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness.

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

CoRR, 2024

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.

Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He

CoRR, 2024

Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge.

Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang

CoRR, 2024

Divide-Verify-Refine: Aligning LLM Responses with Complex Instructions.

Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang

CoRR, 2024

Large Language Models for Social Networks: Applications, Challenges, and Solutions.

Jingying Zeng, Richard Huang, Waleed Malik, Langxuan Yin, Bojan Babic, Danny Shacham, Xiao Yan, Jaewon Yang, Qi He

CoRR, 2024

Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting.

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Exploring Query Understanding for Amazon Product Search.

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

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling.

Jingying Zeng, Jaewon Yang, Waleed Malik, Xiao Yan, Richard Huang, Qi He

CoRR, 2023

2021

Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks.

Minji Yoon, Théophile Gervet, Baoxu Shi, Sufeng Niu, Qi He, Jaewon Yang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Contextual Skill Proficiency via Multi-task Learning at LinkedIn.

Xiao Yan, Ada Ma, Jaewon Yang, Lin Zhu, How Jing, Jacob Bollinger, Qi He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Constructing Knowledge Graph for Social Networks in A Deep and Holistic Way.

Qi He, Jaewon Yang, Baoxu Shi

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Learning to Ask Screening Questions for Job Postings.

Baoxu Shi, Shan Li, Jaewon Yang, Mustafa Emre Kazdagli, Qi He

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Deep Job Understanding at LinkedIn.

Shan Li, Baoxu Shi, Jaewon Yang, Ji Yan, Shuai Wang, Fei Chen, Qi He

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Salience and Market-aware Skill Extraction for Job Targeting.

Baoxu Shi, Jaewon Yang, Feng Guo, Qi He

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Social Skill Validation at LinkedIn.

Xiao Yan, Jaewon Yang, Mikhail Obukhov, Lin Zhu, Joey Bai, Shiqi Wu, Qi He

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections.

Baoxu Shi, Jaewon Yang, Tim Weninger, How Jing, Qi He

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

NEMO: Next Career Move Prediction with Contextual Embedding.

Liangyue Li, How Jing, Hanghang Tong, Jaewon Yang, Qi He, Bee-Chung Chen

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2016

It takes two to tango: Exploring social tie development with both online and offline interactions.

Peifeng Yin, Qi He, Xingjie Liu, Wang-Chien Lee

Stat. Anal. Data Min., 2016

2015

Tweet Segmentation and Its Application to Named Entity Recognition.

Chenliang Li, Aixin Sun, Jianshu Weng, Qi He

IEEE Trans. Knowl. Data Eng., 2015

Mining strong relevance between heterogeneous entities from unstructured biomedical data.

Ming Ji, Qi He, Jiawei Han, W. Scott Spangler

Data Min. Knowl. Discov., 2015

Personalizing LinkedIn Feed.

Deepak Agarwal, Bee-Chung Chen, Qi He, Zhenhao Hua, Guy Lebanon, Yiming Ma, Pannagadatta Shivaswamy, Hsiao-Ping Tseng, Jaewon Yang, Liang Zhang

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Task Trail: An Effective Segmentation of User Search Behavior.

Zhen Liao, Yang Song, Yalou Huang, Li-wei He, Qi He

IEEE Trans. Knowl. Data Eng., 2014

Introduction to the Special Issue on Linking Social Granularity and Functions.

Qi He, Juanzi Li, Rong Yan, John Yen, Haizheng Zhang

ACM Trans. Intell. Syst. Technol., 2014

Activity ranking in LinkedIn feed.

Deepak Agarwal, Bee-Chung Chen, Rupesh Gupta, Joshua Hartman, Qi He, Anand Iyer, Sumanth Kolar, Yiming Ma, Pannagadatta Shivaswamy, Ajit Singh, Liang Zhang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Distributed Graph Summarization.

Xingjie Liu, Yuanyuan Tian, Qi He, Wang-Chien Lee, John McPherson

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Exploiting hybrid contexts for Tweet segmentation.

Chenliang Li, Aixin Sun, Jianshu Weng, Qi He

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

2012

Prospective Client Driven Technology Recommendation.

Qi He, W. Scott Spangler, Bin He, Ying Chen, Linda Kato

Proceedings of the 2012 Annual SRII Global Conference, San Jose, CA, USA, July 24-27, 2012, 2012

TwiNER: named entity recognition in targeted twitter stream.

Chenliang Li, Jianshu Weng, Qi He, Yuxia Yao, Anwitaman Datta, Aixin Sun, Bu-Sung Lee

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Event-based social networks: linking the online and offline social worlds.

Xingjie Liu, Qi He, Yuanyuan Tian, Wang-Chien Lee, John McPherson, Jiawei Han

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

A scalable approach for performing proximal search for verbose patent search queries.

Sumit Bhatia, Bin He, Qi He, W. Scott Spangler

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Citation recommendation without author supervision.

Qi He, Daniel Kifer, Jian Pei, Prasenjit Mitra, C. Lee Giles

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Evolution of Node Behavior in Link Prediction.

Baojun Qiu, Qi He, John Yen

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Keep It Simple with Time: A Reexamination of Probabilistic Topic Detection Models.

Qi He, Kuiyu Chang, Ee-Peng Lim, Arindam Banerjee

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Context-aware citation recommendation.

Qi He, Jian Pei, Daniel Kifer, Prasenjit Mitra, C. Lee Giles

Proceedings of the 19th International Conference on World Wide Web, 2010

TwitterRank: finding topic-sensitive influential twitterers.

Jianshu Weng, Ee-Peng Lim, Jing Jiang, Qi He

Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

What Do People Want in Microblogs? Measuring Interestingness of Hashtags in Twitter.

Jianshu Weng, Ee-Peng Lim, Qi He, Cane Wing-ki Leung

Proceedings of the ICDM 2010, 2010

Communication motifs: a tool to characterize social communications.

Qiankun Zhao, Yuan Tian, Qi He, Nuria Oliver, Ruoming Jin, Wang-Chien Lee

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Boosting social network connectivity with link revival.

Yuan Tian, Qi He, Qiankun Zhao, Xingjie Liu, Wang-Chien Lee

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Topical analysis of text streams

Qi He

PhD thesis, 2009

Web Query Recommendation via Sequential Query Prediction.

Qi He, Daxin Jiang, Zhen Liao, Steven C. H. Hoi, Kuiyu Chang, Ee-Peng Lim, Hang Li

Proceedings of the 25th International Conference on Data Engineering, 2009

Detecting topic evolution in scientific literature: how can citations help?

Qi He, Bi Chen, Jian Pei, Baojun Qiu, Prasenjit Mitra, C. Lee Giles

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Modeling Anticipatory Event Transitions.

Qi He, Kuiyu Chang, Ee-Peng Lim

Proceedings of the Intelligence and Security Informatics, Techniques and Applications, 2008

Context-aware query suggestion by mining click-through and session data.

Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen Liao, Enhong Chen, Hang Li

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

Anticipatory event detection via classification.

Qi He, Kuiyu Chang, Ee-Peng Lim

Inf. Syst. E Bus. Manag., 2007

Analyzing feature trajectories for event detection.

Qi He, Kuiyu Chang, Ee-Peng Lim

Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Bursty Feature Representation for Clustering Text Streams.

Qi He, Kuiyu Chang, Ee-Peng Lim, Jun Zhang

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Modeling Anticipatory Event Transitions.

Ridzwan Aminuddin, Ridzwan Suri, Kuiyu Chang, Zaki Zainudin, Qi He, Ee-Peng Lim

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Anticipatory Event Detection for Bursty Events.

Kuiyu Chang, Qi He, Ridzwan Aminuddin, Ridzwan Suri, Ee-Peng Lim

Proceedings of the Intelligence and Security Informatics, Pacific Asia Workshop, 2007

Using Burstiness to Improve Clustering of Topics in News Streams.

Qi He, Kuiyu Chang, Ee-Peng Lim

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

A new dependable exchange protocol.

Hao Wang, Heqing Guo, Manshan Lin, Jianfei Yin, Qi He, Jun Zhang

Comput. Commun., 2006

Anticipatory Event Detection via Sentence Classification.

Qi He, Kuiyu Chang, Ee-Peng Lim

Proceedings of the IEEE International Conference on Systems, 2006

A Model for Anticipatory Event Detection.

Qi He, Kuiyu Chang, Ee-Peng Lim

Proceedings of the Conceptual Modeling, 2006

2005

An information extraction engine for web discussion forums.

Hanny Yulius Limanto, Nguyen Ngoc Giang, Vo Tan Trung, Jun Zhang, Qi He, Quang Huy Nguyen

Proceedings of the 14th international conference on World Wide Web, 2005

Abuse-Free Item Exchange.

Hao Wang, Heqing Guo, Jianfei Yin, Qi He, Manshan Lin, Jun Zhang

Proceedings of the Computational Science and Its Applications, 2005

Dependable Transaction for Electronic Commerce.

Hao Wang, Heqing Guo, Manshan Lin, Jianfei Yin, Qi He, Jun Zhang

Proceedings of the Computational Science and Its Applications, 2005