Hongning Wang
Associate Professor
Works on reinforcement learning and online learning for personalized decision-making in information retrieval and recommendation.
Hongning Wang's lab at Tsinghua works on reinforcement learning, learning theory & optimization and recommendation, search & web. 57 papers since 2023, 1 at top venues, mostly AAAI. Applications close .
At a glance
- papers, 2023–2026
- 15/ year
- at T1 venues
- 2%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 1 · collecting
- 20 papers2025 · T1 0
- 22 papers2024 · T1 0
- 14 papers2023 · T1 0
T1 venuesOtherVenues: AAAI
Research focuspaper titles that use each topic's words
- Learning theory & optimization14 papers
- Recommendation, search & web12 papers
- Reinforcement learning9 papers
- recommendation6 papers
- personalized1 paper
Paper list
From the lab homepage.
20261 paper
- AAAI (T1)When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs' Toxicity
202520 papers
- The Annual AAAI Conference on Artificial Intelligence (AAAI'CharacterBench: Benchmarking Character Customization of Large Language Models
- The Thirteenth International Conference on Learning Representations (ICLR'CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning
- The Conference on Empirical Methods in Natural Language Processing (EMNLP )CRISP: Cognitive Restructuring of Negative Thoughts through Multi-Turn Supportive Dialogues
- The Thirteenth International Conference on Learning Representations (ICLR' , Oral presentationData Selection via Optimal Control for Language Models
- The Annual Meeting of the Association for Computational Linguistics (ACL'Guiding not Forcing: Enhancing the Transferability of Jailbreaking Attacks on LLMs via Removing Superfluous Constraints
- The Annual Meeting of the Association for Computational Linguistics (ACL'HPSS: Heuristic Prompting Strategy Search for LLM Evaluators
- The ACM International Conference on Multimedia (MM'JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering
- The ACM SIGKDD Conference On Knowledge Discovery And Data Mining (KDD'Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models
- The Annual Meeting of the Association for Computational Linguistics (ACL'LogicGame: Benchmarking rule-based reasoning abilities of large language models
- The Annual Meeting of the Association for Computational Linguistics (ACL'LongSafety: Evaluating Long-Context Safety of Large Language Models
- The Thirteenth International Conference on Learning Representations (ICLR'MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science
- The International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'Parametric Retrieval Augmented Generation
202422 papers
- The Annual Meeting of the Association for Computational Linguistics (ACLAlignBench: Benchmarking Chinese Alignment of Large Language Models
- The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS'AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
- The Conference on Empirical Methods in Natural Language Processing (EMNLP' )AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
- The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS'Benchmarking Complex Instruction-Following with Multiple Constraints Composition
- The Annual Meeting of the Association for Computational Linguistics (ACLBlack-Box Prompt Optimization: Aligning Large Language Models without Model Training
- The Conference on Empirical Methods in Natural Language Processing (EMNLP' )CharacterGLM: Customizing Social Characters with Large Language Models
- The Annual Meeting of the Association for Computational Linguistics (ACLCritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
- The Annual Meeting of the Association for Computational Linguistics (ACLDefending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
- The International Conference on Artificial Intelligence and Statistics (AISTATS' , p631-639Federated Linear Contextual Bandits with Heterogeneous Clients
- The Web Conference (WWW' ), p3621-3631Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems
- The Forty- International Conference on Machine Learning (ICML'Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?
- The Eleventh International Conference on Learning Representations (ICLR'Incentivized Truthful Communication for Federated Bandits
202314 papers
- PDFCOFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
- 29TH ACM SIGKDD Conference On Knowledge Discovery And Data Mining (KDD'Debiasing Recommendation by Learning Identifiable Latent Confounders
- The International Conference on Web Search and Data Mining (WSDM' , p490-498Disentangled Representation for Diversified Recommendations
- The Fortieth International Conference on Machine Learning (ICML' , Oral presentationHow Bad is Top-K Recommendation under Competing Content Creators?
- Thirty-Seventh Conference on Neural Information Processing Systems (NeurIPS'Incentivized Communication for Federated Bandits
- ACM Conference on Recommender Systems (RecSys'Incentivizing Exploration in Linear Bandits under Information Gap
- The Tenth International Conference on Learning Representations (ICLR'Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment
- The International Conference on Web Search and Data Mining (WSDM' , p220-230Meta Policy Learning for Cold-Start Conversational Recommendation
- Thirty-Seventh Conference on Neural Information Processing Systems (NeurIPS'Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems
- An End-to-End Solution for Spatial Inference in Smart BuildingsNominated for the Best Paper Award
- The International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'Not Just Skipping. Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search
- Thirty-Seventh Conference on Neural Information Processing Systems (NeurIPS'Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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