Hongning Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
158
Venues
23
Active years
2008–2026
Best venue rank
A*
Where they publish
- A*SIGIR25 papers
- A*ACL21 papers
- A*WWW19 papers
- A*KDD13 papers
- A*AAAI11 papers
- A*ICLR11 papers
- AWSDM10 papers
- UnrankedSENSYS9 papers
- ACIKM9 papers
- A*EMNLP7 papers
- A*ICML5 papers
- AAISTATS3 papers
- ARecSys3 papers
- A*ICDM2 papers
- ASDM2 papers
- A*ICCV1 paper
- BSmartComp1 paper
- A*IJCAI1 paper
- NationalCOMAD1 paper
- BCHASE1 paper
- A*PERCOM1 paper
- A*ICDE1 paper
- BCOLING1 paper
Papers
158 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs' Toxicity. | Shiyao Cui, Xijia Feng, Yingkang Wang, Junxiao Yang, Zhexin Zhang, Biplab Sikdar, Hongning Wang, Han Qiu, Minlie Huang |
| 2026 | ACL | Glyph: Scaling Context Windows via Visual-Text Compression. | Jiale Cheng, Yusen Liu, Xinyu Zhang, Yulin Fei, Wenyi Hong, Ruiliang Lyu, Weihan Wang, Zhe Su, Xiaotao Gu, Xiao Liu, Yushi Bai, Jie Tang, Hongning Wang, Minlie Huang |
| 2026 | ACL | HoWToBench: Holistic Evaluation for LLM's Capability in Human-level Writing using Tree of Writing. | Andrew Zhuoer Feng, Cunxiang Wang, Yu Luo, Lin Fan, Irene Zhou, Zikang Wang, Xiaotao Gu, Jie Tang, Hongning Wang, Minlie Huang |
| 2026 | ACL | IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation. | Bosi Wen, Yilin Niu, Cunxiang Wang, Pei Ke, Xiaoying Ling, Ying Zhang, Aohan Zeng, Hongning Wang, Minlie Huang |
| 2026 | ACL | IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation. | Bosi Wen, Yilin Niu, Cunxiang Wang, Xiaoying Ling, Ying Zhang, Pei Ke, Hongning Wang, Minlie Huang |
| 2026 | ACL | LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety. | Junxiao Yang, Haoran Liu, Jinzhe Tu, Jiale Cheng, Zhexin Zhang, Shiyao Cui, Jiaqi Weng, Jialing Tao, Hui Xue, Hongning Wang, Han Qiu, Minlie Huang |
| 2026 | ACL | How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study. | Zhexin Zhang, Xian Qi Loye, Victor Shea-Jay Huang, Junxiao Yang, Qi Zhu, Shiyao Cui, Fei Mi, Lifeng Shang, Yingkang Wang, Hongning Wang, Minlie Huang |
| 2026 | ACL | Data Efficient RLVR via Off-Policy Influence Guidance. | Erle Zhu, Dazhi Jiang, Yuan Wang, Xujun Li, Jiale Cheng, Yuxian Gu, Yilin Niu, Aohan Zeng, Jie Tang, Minlie Huang, Hongning Wang |
| 2025 | AAAI | SocialSim: Towards Socialized Simulation of Emotional Support Conversation. | Zhuang Chen, Yaru Cao, Guanqun Bi, Jincenzi Wu, Jinfeng Zhou, Xiyao Xiao, Si Chen, Hongning Wang, Minlie Huang |
| 2025 | AAAI | CharacterBench: Benchmarking Character Customization of Large Language Models. | Jinfeng Zhou, Yongkang Huang, Bosi Wen, Guanqun Bi, Yuxuan Chen, Pei Ke, Zhuang Chen, Xiyao Xiao, Libiao Peng, Kuntian Tang, Rongsheng Zhang, Le Zhang, Tangjie Lv, Zhipeng Hu, Hongning Wang, Minlie Huang |
| 2025 | ACL | LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models. | Jiayi Gui, Yiming Liu, Jiale Cheng, Xiaotao Gu, Xiao Liu, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang |
| 2025 | ACL | LongSafety: Evaluating Long-Context Safety of Large Language Models. | Yida Lu, Jiale Cheng, Zhexin Zhang, Shiyao Cui, Cunxiang Wang, Xiaotao Gu, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang |
| 2025 | ACL | Tree-KG: An Expandable Knowledge Graph Construction Framework for Knowledge-intensive Domains. | Songjie Niu, Kaisen Yang, Rui Zhao, Yichao Liu, Zonglin Li, Hongning Wang, Wenguang Chen |
| 2025 | ACL | HPSS: Heuristic Prompting Strategy Search for LLM Evaluators. | Bosi Wen, Pei Ke, Yufei Sun, Cunxiang Wang, Xiaotao Gu, Jinfeng Zhou, Jie Tang, Hongning Wang, Minlie Huang |
| 2025 | ACL | Guiding not Forcing: Enhancing the Transferability of Jailbreaking Attacks on LLMs via Removing Superfluous Constraints. | Junxiao Yang, Zhexin Zhang, Shiyao Cui, Hongning Wang, Minlie Huang |
| 2025 | ACL | SocialEval: Evaluating Social Intelligence of Large Language Models. | Jinfeng Zhou, Yuxuan Chen, Yihan Shi, Xuanming Zhang, Leqi Lei, Yi Feng, Zexuan Xiong, Miao Yan, Xunzhi Wang, Yaru Cao, Jianing Yin, Shuai Wang, Quanyu Dai, Zhenhua Dong, Hongning Wang, Minlie Huang |
| 2025 | EMNLP | SelfRACG: Enabling LLMs to Self-Express and Retrieve for Code Generation. | Qian Dong, Jia Chen, Qingyao Ai, Hongning Wang, Haitao Li, Yi Wu, Yao Hu, Yiqun Liu, Shaoping Ma |
| 2025 | EMNLP | Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues. | Jinfeng Zhou, Yuxuan Chen, Jianing Yin, Yongkang Huang, Yihan Shi, Xikun Zhang, Libiao Peng, Rongsheng Zhang, Tangjie Lv, Zhipeng Hu, Hongning Wang, Minlie Huang |
| 2025 | ICCV | VPO: Aligning Text-to-Video Generation Models with Prompt Optimization. | Jiale Cheng, Ruiliang Lyu, Xiaotao Gu, Xiao Liu, Jiazheng Xu, Yida Lu, Jiayan Teng, Zhuoyi Yang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang |
| 2025 | ICLR | SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models. | Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang |
| 2025 | ICLR | Data Selection via Optimal Control for Language Models. | Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang |
| 2025 | ICLR | RecFlow: An Industrial Full Flow Recommendation Dataset. | Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai |
| 2025 | ICLR | CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning. | Jiaxin Wen, Jian Guan, Hongning Wang, Wei Wu, Minlie Huang |
| 2025 | ICLR | MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science. | Erle Zhu, Yadi Liu, Zhe Zhang, Xujun Li, Jin Zhou, Xinjie Yu, Minlie Huang, Hongning Wang |
| 2025 | KDD | Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models. | Shangqing Tu, Zhuoran Pan, Wenxuan Wang, Zhexin Zhang, Yuliang Sun, Jifan Yu, Hongning Wang, Lei Hou, Juanzi Li |
| 2025 | WWW | Decoupling Knowledge and Context: An Efficient and Effective Retrieval Augmented Generation Framework via Cross Attention. | Qian Dong, Qingyao Ai, Hongning Wang, Yiding Liu, Haitao Li, Weihang Su, Yiqun Liu, Tat-Seng Chua, Shaoping Ma |
| 2025 | SIGIR | Parametric Retrieval Augmented Generation. | Weihang Su, Yichen Tang, Qingyao Ai, Junxi Yan, Changyue Wang, Hongning Wang, Ziyi Ye, Yujia Zhou, Yiqun Liu |
| 2024 | AAAI | Meta-Reinforcement Learning via Exploratory Task Clustering. | Zhendong Chu, Renqin Cai, Hongning Wang |
| 2024 | AAAI | Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits. | Zhiwei Wang, Huazheng Wang, Hongning Wang |
| 2024 | ACL | Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. | Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang |
| 2024 | ACL | CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation. | Pei Ke, Bosi Wen, Andrew Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang |
| 2024 | ACL | AlignBench: Benchmarking Chinese Alignment of Large Language Models. | Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang |
| 2024 | ACL | Learning Task Decomposition to Assist Humans in Competitive Programming. | Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang |
| 2024 | ACL | Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. | Zhexin Zhang, Junxiao Yang, Pei Ke, Fei Mi, Hongning Wang, Minlie Huang |
| 2024 | AISTATS | Federated Linear Contextual Bandits with Heterogeneous Clients. | Ethan Blaser, Chuanhao Li, Hongning Wang |
| 2024 | EMNLP | AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. | Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang |
| 2024 | EMNLP | ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. | Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang |
| 2024 | EMNLP | CharacterGLM: Customizing Social Characters with Large Language Models. | Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Pei Ke, Guanqun Bi, Libiao Peng, Jiaming Yang, Xiyao Xiao, Sahand Sabour, Xiaohan Zhang, Wenjing Hou, Yijia Zhang, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang |
| 2024 | ICLR | Language Model Decoding as Direct Metrics Optimization. | Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang |
| 2024 | ICLR | Incentivized Truthful Communication for Federated Bandits. | Zhepei Wei, Chuanhao Li, Tianze Ren, Haifeng Xu, Hongning Wang |
| 2024 | ICML | Towards Efficient Exact Optimization of Language Model Alignment. | Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang |
| 2024 | ICML | Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? | Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu |
| 2024 | KDD | User Welfare Optimization in Recommender Systems with Competing Content Creators. | Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Jingzhou Liu, Qifan Wang, Haifeng Xu, Hongning Wang |
| 2024 | WWW | Retention Depolarization in Recommender System. | Xiaoying Zhang, Hongning Wang, Yang Liu |
| 2024 | WWW | Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. | Kai Zheng, Haijun Zhao, Rui Huang, Beichuan Zhang, Na Mou, Yanan Niu, Yang Song, Hongning Wang, Kun Gai |
| 2024 | SIGIR | The Second Workshop on Large Language Models for Individuals, Groups, and Society. | Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang |
| 2024 | SIGIR | Third Workshop on Personalization and Recommendations in Search (PaRiS). | Sudarshan Lamkhede, Hamed Zamani, Moumita Bhattacharya, Hongning Wang |
| 2024 | WSDM | WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. | Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang |
| 2023 | EMNLP | COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. | Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie |
| 2023 | ICLR | Spectral Augmentation for Self-Supervised Learning on Graphs. | Lu Lin, Jinghui Chen, Hongning Wang |
| 2023 | ICLR | Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment. | Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang |
| 2023 | ICML | How Bad is Top-K Recommendation under Competing Content Creators? | Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu |
| 2023 | KDD | Debiasing Recommendation by Learning Identifiable Latent Confounders. | Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo |
| 2023 | RecSys | Incentivizing Exploration in Linear Contextual Bandits under Information Gap. | Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang |
| 2023 | WWW | Personalization and Recommendations in Search. | Sudarshan Lamkhede, Anlei Dong, Moumita Bhattacharya, Hongning Wang |
| 2023 | SIGIR | Not Just Skipping: Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search. | Anat Hashavit, Hongning Wang, Tamar Stern, Sarit Kraus |
| 2023 | SENSYS | An End-to-End Solution for Spatial Inference in Smart Buildings. | Mingzhe Wu, Fan Yao, Hongning Wang |
| 2023 | WSDM | Meta Policy Learning for Cold-Start Conversational Recommendation. | Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu |
| 2023 | WSDM | Disentangled Representation for Diversified Recommendations. | Xiaoying Zhang, Hongning Wang, Hang Li |
| 2023 | SmartComp | E-ADDA: Unsupervised Adversarial Domain Adaptation Enhanced by a New Mahalanobis Distance Loss for Smart Computing. | Ye Gao, Brian R. Baucom, Karen Rose, Kristina Gordon, Hongning Wang, John A. Stankovic |
| 2022 | AAAI | Learning the Optimal Recommendation from Explorative Users. | Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu |
| 2022 | AISTATS | Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits. | Chuanhao Li, Hongning Wang |
| 2022 | CIKM | Rethinking Conversational Recommendations: Is Decision Tree All You Need? | A. S. M. Ahsan-Ul-Haque, Hongning Wang |
| 2022 | ICLR | Learning Neural Contextual Bandits through Perturbed Rewards. | Yiling Jia, Weitong Zhang, Dongruo Zhou, Quanquan Gu, Hongning Wang |
| 2022 | ICML | When Are Linear Stochastic Bandits Attackable? | Huazheng Wang, Haifeng Xu, Hongning Wang |
| 2022 | ICML | Learning from a Learning User for Optimal Recommendations. | Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu |
| 2022 | IJCAI | IMO^3: Interactive Multi-Objective Off-Policy Optimization. | Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier |
| 2022 | KDD | Graph Structural Attack by Perturbing Spectral Distance. | Lu Lin, Ethan Blaser, Hongning Wang |
| 2022 | RecSys | Dynamic Global Sensitivity for Differentially Private Contextual Bandits. | Huazheng Wang, David Zhao, Hongning Wang |
| 2022 | WWW | Learning Neural Ranking Models Online from Implicit User Feedback. | Yiling Jia, Hongning Wang |
| 2022 | WWW | Graph-based Extractive Explainer for Recommendations. | Peng Wang, Renqin Cai, Hongning Wang |
| 2022 | WWW | Unbiased Graph Embedding with Biased Graph Observations. | Nan Wang, Lu Lin, Jundong Li, Hongning Wang |
| 2022 | WWW | Comparative Explanations of Recommendations. | Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang |
| 2022 | SIGIR | Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback. | Yiling Jia, Hongning Wang |
| 2022 | WSDM | Graph Embedding with Hierarchical Attentive Membership. | Lu Lin, Ethan Blaser, Hongning Wang |
| 2021 | AAAI | Learning from Crowds by Modeling Common Confusions. | Zhendong Chu, Jing Ma, Hongning Wang |
| 2021 | AISTATS | Unifying Clustered and Non-stationary Bandits. | Chuanhao Li, Qingyun Wu, Hongning Wang |
| 2021 | KDD | Improve Learning from Crowds via Generative Augmentation. | Zhendong Chu, Hongning Wang |
| 2021 | WWW | PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. | Yiling Jia, Huazheng Wang, Stephen D. Guo, Hongning Wang |
| 2021 | SIGIR | Category-aware Collaborative Sequential Recommendation. | Renqin Cai, Jibang Wu, Aidan San, Chong Wang, Hongning Wang |
| 2021 | SIGIR | Understanding and Mitigating Bias in Online Health Search. | Anat Hashavit, Hongning Wang, Raz Lin, Tamar Stern, Sarit Kraus |
| 2021 | SIGIR | When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. | Chuanhao Li, Qingyun Wu, Hongning Wang |
| 2021 | SIGIR | Interactive Information Retrieval with Bandit Feedback. | Huazheng Wang, Yiling Jia, Hongning Wang |
| 2021 | SENSYS | Towards semantic search in building sensor data. | Andrew Villca-Rocha, Max Zheng, Chengzhu Duan, Hongning Wang |
| 2021 | WSDM | Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction. | Nan Wang, Zhen Qin, Xuanhui Wang, Hongning Wang |
| 2021 | WSDM | Explanation as a Defense of Recommendation. | Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang |
| 2020 | AAAI | Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning. | Shuheng Li, Dezhi Hong, Hongning Wang |
| 2020 | COMAD | Lessons and Insights from Super-Resolution of Energy Data. | Rithwik Kukunuri, Nipun Batra, Hongning Wang |
| 2020 | KDD | Graph Attention Networks over Edge Content-Based Channels. | Lu Lin, Hongning Wang |
| 2020 | KDD | Directional Multivariate Ranking. | Nan Wang, Hongning Wang |
| 2020 | KDD | Learning by Exploration: New Challenges in Real-World Environments. | Qingyun Wu, Huazheng Wang, Hongning Wang |
| 2020 | RecSys | Global and Local Differential Privacy for Collaborative Bandits. | Huazheng Wang, Qian Zhao, Qingyun Wu, Shubham Chopra, Abhinav Khaitan, Hongning Wang |
| 2020 | WWW | Dj vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation. | Jibang Wu, Renqin Cai, Hongning Wang |
| 2020 | SENSYS | A monitoring, modeling, and interactive recommendation system for in-home caregivers: demo abstract. | Ye Gao, Meiyi Ma, Kristina Gordon, Karen Rose, Hongning Wang, John A. Stankovic |
| 2020 | SENSYS | An Open Problem: Energy Data Super-Resolution. | Rithwik Kukunuri, Nipun Batra, Hongning Wang |
| 2020 | WSDM | JNET: Learning User Representations via Joint Network Embedding and Topic Embedding. | Lin Gong, Lu Lin, Weihao Song, Hongning Wang |
| 2019 | CIKM | Accounting for Temporal Dynamics in Document Streams. | Zhendong Chu, Renqin Cai, Hongning Wang |
| 2019 | CIKM | Active Collaborative Sensing for Energy Breakdown. | Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse |
| 2019 | EMNLP | Adversarial Domain Adaptation for Machine Reading Comprehension. | Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang |
| 2019 | KDD | Factorization Bandits for Online Influence Maximization. | Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang |
| 2019 | WWW | A Tree-Structured Neural Network Model for Household Energy Breakdown. | Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse |
| 2019 | WWW | Dynamic Ensemble of Contextual Bandits to Satisfy Users' Changing Interests. | Qingyun Wu, Huazheng Wang, Yanen Li, Hongning Wang |
| 2019 | SIGIR | Context Attentive Document Ranking and Query Suggestion. | Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang |
| 2019 | SIGIR | The FacT: Taming Latent Factor Models for Explainability with Factorization Trees. | Yiyi Tao, Yiling Jia, Nan Wang, Hongning Wang |
| 2019 | SIGIR | Variance Reduction in Gradient Exploration for Online Learning to Rank. | Huazheng Wang, Sonwoo Kim, Eric McCord-Snook, Qingyun Wu, Hongning Wang |
| 2019 | SENSYS | Learning from Correlated Events for Equipment Relation Inference in Buildings. | Dezhi Hong, Renqin Cai, Hongning Wang, Kamin Whitehouse |
| 2019 | SENSYS | Sequential Learning with Active Partial Labeling for Building Metadata. | Lu Lin, Zheng Luo, Dezhi Hong, Hongning Wang |
| 2019 | WSDM | Learning Personalized Topical Compositions with Item Response Theory. | Lu Lin, Lin Gong, Hongning Wang |
| 2018 | AAAI | Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions. | Nipun Batra, Yiling Jia, Hongning Wang, Kamin Whitehouse |
| 2018 | CIKM | Modeling Sequential Online Interactive Behaviors with Temporal Point Process. | Renqin Cai, Xueying Bai, Zhenrui Wang, Yuling Shi, Parikshit Sondhi, Hongning Wang |
| 2018 | ICLR | Multi-Task Learning for Document Ranking and Query Suggestion. | Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang |
| 2018 | KDD | When Sentiment Analysis Meets Social Network: A Holistic User Behavior Modeling in Opinionated Data. | Lin Gong, Hongning Wang |
| 2018 | KDD | A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware Accelerators. | Elaheh Sadredini, Deyuan Guo, Chunkun Bo, Reza Rahimi, Kevin Skadron, Hongning Wang |
| 2018 | SIGIR | Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search. | Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang |
| 2018 | SIGIR | Efficient Exploration of Gradient Space for Online Learning to Rank. | Huazheng Wang, Ramsey Langley, Sonwoo Kim, Eric McCord-Snook, Hongning Wang |
| 2018 | SIGIR | Explainable Recommendation via Multi-Task Learning in Opinionated Text Data. | Nan Wang, Hongning Wang, Yiling Jia, Yue Yin |
| 2018 | SIGIR | Learning Contextual Bandits in a Non-stationary Environment. | Qingyun Wu, Naveen Iyer, Hongning Wang |
| 2018 | SIGIR | Hide-n-Seek: An Intent-aware Privacy Protection Plugin for Personalized Web Search. | Puxuan Yu, Wasi Uddin Ahmad, Hongning Wang |
| 2018 | SENSYS | Plaster: an integration, benchmark, and development framework for metadata normalization methods. | Jason Koh, Dezhi Hong, Rajesh K. Gupta, Kamin Whitehouse, Hongning Wang, Yuvraj Agarwal |
| 2017 | AAAI | Matrix Factorisation for Scalable Energy Breakdown. | Nipun Batra, Hongning Wang, Amarjeet Singh, Kamin Whitehouse |
| 2017 | AAAI | Factorization Bandits for Interactive Recommendation. | Huazheng Wang, Qingyun Wu, Hongning Wang |
| 2017 | CHASE | DAVE: Detecting Agitated Vocal Events. | Asif Salekin, Hongning Wang, Kristine Williams, John A. Stankovic |
| 2017 | CIKM | Modeling Student Learning Styles in MOOCs. | Yuling Shi, Zhiyong Peng, Hongning Wang |
| 2017 | CIKM | Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems. | Qingyun Wu, Hongning Wang, Liangjie Hong, Yue Shi |
| 2017 | ICDM | Extracting User-Reported Mobile Application Defects from Online Reviews. | Yue Wang, Hongning Wang, Hui Fang |
| 2017 | PERCOM | Preclude: Conflict detection in textual health advice. | Sarah Masud Preum, Md. Abu Sayeed Mondol, Meiyi Ma, Hongning Wang, John A. Stankovic |
| 2017 | WWW | Clustered Model Adaption for Personalized Sentiment Analysis. | Lin Gong, Benjamin Haines, Hongning Wang |
| 2017 | SIGIR | Accounting for the Correspondence in Commented Data. | Renqin Cai, Chi Wang, Hongning Wang |
| 2017 | SIGIR | ReviewMiner: An Aspect-based Review Analytics System. | Derek Wu, Hongning Wang |
| 2016 | ACL | Modeling Social Norms Evolution for Personalized Sentiment Classification. | Lin Gong, Mohammad Al Boni, Hongning Wang |
| 2016 | CIKM | Learning Hidden Features for Contextual Bandits. | Huazheng Wang, Qingyun Wu, Hongning Wang |
| 2016 | WWW | Hidden Topic Sentiment Model. | Md. Mustafizur Rahman, Hongning Wang |
| 2016 | SIGIR | Topic Model based Privacy Protection in Personalized Web Search. | Wasi Uddin Ahmad, Md. Masudur Rahman, Hongning Wang |
| 2016 | SIGIR | Contextual Bandits in a Collaborative Environment. | Qingyun Wu, Huazheng Wang, Quanquan Gu, Hongning Wang |
| 2015 | ACL | Model Adaptation for Personalized Opinion Analysis. | Mohammad Al Boni, Keira Zhou, Hongning Wang, Matthew S. Gerber |
| 2015 | CIKM | Clustering-based Active Learning on Sensor Type Classification in Buildings. | Dezhi Hong, Hongning Wang, Kamin Whitehouse |
| 2015 | SENSYS | The Building Adapter: Towards Quickly Applying Building Analytics at Scale. | Dezhi Hong, Hongning Wang, Jorge Ortiz, Kamin Whitehouse |
| 2015 | SENSYS | Demo: KinVocal: Detecting Agitated Vocal Events. | Asif Salekin, Hongning Wang, John A. Stankovic |
| 2014 | SIGIR | A two-dimensional click model for query auto-completion. | Yanen Li, Anlei Dong, Hongning Wang, Hongbo Deng, Yi Chang, ChengXiang Zhai |
| 2014 | SIGIR | Modeling action-level satisfaction for search task satisfaction prediction. | Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ahmed Hassan Awadallah, Ryen W. White |
| 2014 | WSDM | Adapting deep RankNet for personalized search. | Yang Song, Hongning Wang, Xiaodong He |
| 2014 | WSDM | User modeling in search logs via a nonparametric bayesian approach. | Hongning Wang, ChengXiang Zhai, Feng Liang, Anlei Dong, Yi Chang |
| 2013 | ICDE | Learning to rank from distant supervision: Exploiting noisy redundancy for relational entity search. | Mianwei Zhou, Hongning Wang, Kevin Chen-Chuan Chang |
| 2013 | WWW | Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance. | Yang Song, Hao Ma, Hongning Wang, Kuansan Wang |
| 2013 | WWW | Learning to extract cross-session search tasks. | Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ryen W. White, Wei Chu |
| 2013 | WWW | Content-aware click modeling. | Hongning Wang, ChengXiang Zhai, Anlei Dong, Yi Chang |
| 2013 | WWW | Enhancing personalized search by mining and modeling task behavior. | Ryen W. White, Wei Chu, Ahmed Hassan Awadallah, Xiaodong He, Yang Song, Hongning Wang |
| 2013 | SIGIR | Personalized ranking model adaptation for web search. | Hongning Wang, Xiaodong He, Ming-Wei Chang, Yang Song, Ryen W. White, Wei Chu |
| 2013 | SDM | On the Detectability of Node Grouping in Networks. | Yuguo Chen, Jiawei Han, Ming Ji, Jialu Liu, Lu Su, Chi Wang, Hongning Wang |
| 2013 | SDM | Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous Networks. | Hongbo Deng, Jiawei Han, Heng Ji, Hao Li, Yue Lu, Hongning Wang |
| 2012 | CIKM | Unsupervised discovery of opposing opinion networks from forum discussions. | Yue Lu, Hongning Wang, ChengXiang Zhai, Dan Roth |
| 2012 | WWW | Joint relevance and freshness learning from clickthroughs for news search. | Hongning Wang, Anlei Dong, Lihong Li, Yi Chang, Evgeniy Gabrilovich |
| 2011 | ACL | Structural Topic Model for Latent Topical Structure Analysis. | Hongning Wang, Duo Zhang, ChengXiang Zhai |
| 2011 | KDD | Latent aspect rating analysis without aspect keyword supervision. | Hongning Wang, Yue Lu, ChengXiang Zhai |
| 2011 | SIGIR | Learning online discussion structures by conditional random fields. | Hongning Wang, Chi Wang, ChengXiang Zhai, Jiawei Han |
| 2010 | COLING | Exploiting Structured Ontology to Organize Scattered Online Opinions. | Yue Lu, Huizhong Duan, Hongning Wang, ChengXiang Zhai |
| 2010 | KDD | Latent aspect rating analysis on review text data: a rating regression approach. | Hongning Wang, Yue Lu, Chengxiang Zhai |
| 2008 | ICDM | A Generative Probabilistic Model for Multi-label Classification. | Hongning Wang, Minlie Huang, Xiaoyan Zhu |