Wei Ai
Assistant Professor
Studies large-scale behavioral data with machine learning and causal inference, including recommender systems and data science for social good.
Wei Ai's lab at UMD works on recommendation, search & web, data management & big data and efficient training & inference. 19 papers since 2023, 5 at top venues, mostly ICWSM and Findings of EMNLP. 4 PhD students.
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 26%
- PhD students
- 4
- MS students
- 0
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 7 papers2025 · T1 2
- 8 papers2024 · T1 3
- 2 papers2023 · T1 0
T1 venuesOtherVenues: ICWSM, Findings of EMNLP, NAACL, AAAI/ACM AIES, ACL
Research focuspaper titles that use each topic's words
- Data management & big data2 papers
- Recommendation, search & web1 paper
- Efficient training & inference1 paper
- studies large-scale0 papers
- social good0 papers
Paper list
From DBLP.
20262 papers
20257 papers
- CBMIA Survey of Information Disorder on Video-Sharing Platforms (opens in a new tab)
- SIGIR (T1)CSRec: Rethinking Sequential Recommendation from A Causal Perspective (opens in a new tab)
- Findings of EMNLPDISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data (opens in a new tab)
- ICWSMEmojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications (opens in a new tab)
- ACM Trans. Knowl. Discov. DataGFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint (opens in a new tab)
- Findings of NAACLLarge Language Models and Causal Inference in Collaboration: A Comprehensive Survey (opens in a new tab)
- NAACL (T1)MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs (opens in a new tab)
20248 papers
- ACM Trans. WebAdoption of Recurrent Innovations: A Large-Scale Case Study on Mobile App Updates (opens in a new tab)
- ICWSMEmoji Promotes Developer Participation and Issue Resolution on GitHub (opens in a new tab)
- ACL (T1)Explore Spurious Correlations at the Concept Level in Language Models for Text Classification (opens in a new tab)
- AAAI/ACM AIESKid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults (opens in a new tab)
- Findings of EMNLPMulti-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation (opens in a new tab)
- WSDM (T1)Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices (opens in a new tab)
- Findings of ACLTeaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios (opens in a new tab)
- NAACL (T1)The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UMDFall 2027
Not announced yet
UMD Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- SGNTU
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Tong Yang
- Time series, anomaly & spatio-temporal data
- CNSJTU
Guihai Chen
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- CNSJTU
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- USGeorgia Tech
Srijan Kumar
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- GBUCL
Tao Cheng
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.