Kevin Chen-Chuan Chang
Professor
Studies natural language processing, information retrieval and data mining for knowledge acquisition from Web and social media text.
Kevin Chen-Chuan Chang's lab at UIUC works on knowledge, QA & retrieval, language & society and recommendation, search & web. 30 papers since 2023, 18 at top venues, mostly ACL and Findings of EMNLP. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 60%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 1 papers2026 · T1 1 · collecting
- 6 papers2025 · T1 4
- 8 papers2024 · T1 3
- 15 papers2023 · T1 10
T1 venuesOtherVenues: ACL, Findings of EMNLP, EMNLP, ICDE, Findings of ACL
Research focuspaper titles that use each topic's words
- Language & society6 papers
- Knowledge, QA & retrieval4 papers
- Recommendation, search & web1 paper
- acquisition0 papers
- web0 papers
Paper list
From DBLP.
20261 paper
20256 papers
- ACL (T1)ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase Generation (opens in a new tab)
- Findings of ACLMiniELM: A Lightweight and Adaptive Query Rewriting Framework for E-Commerce Search Optimization (opens in a new tab)
- ICDE (T1)MuSha: Subgraph Matching by Multilevel Sharing (opens in a new tab)
- Findings of EMNLPQuery Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models (opens in a new tab)
- ACL (T1)Understanding Cross-Domain Adaptation in Low-Resource Topic Modeling (opens in a new tab)
- ACL (T1)Writing Like the Best: Exemplar-Based Expository Text Generation (opens in a new tab)
20248 papers
- NeurIPS (T1)Cascade Speculative Drafting for Even Faster LLM Inference (opens in a new tab)
- Findings of NAACLCitation: A Key to Building Responsible and Accountable Large Language Models (opens in a new tab)
- Findings of EMNLPConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation (opens in a new tab)
- Findings of EMNLPEnhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs (opens in a new tab)
- ICDE (T1)From Motif to Path: Connectivity and Homophily (opens in a new tab)
- Findings of NAACLGPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond (opens in a new tab)
- ICDE (T1)Large Subgraph Matching: A Comprehensive and Efficient Approach for Heterogeneous Graphs (opens in a new tab)
- Findings of EACLQuantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage (opens in a new tab)
202315 papers
- CIKM (T1)A Principled Decomposition of Pointwise Mutual Information for Intention Template Discovery (opens in a new tab)
- EMNLP (T1)Abstractive Open Information Extraction (opens in a new tab)
- Findings of EMNLPAsk To The Point: Open-Domain Entity-Centric Question Generation (opens in a new tab)
- Findings of ACLCan Language Models Be Specific? How? (opens in a new tab)
- NeurIPS (T1)Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs (opens in a new tab)
- EMNLP (T1)Descriptive Knowledge Graph in Biomedical Domain (opens in a new tab)
- ACL (T1)DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships (opens in a new tab)
- EMNLP (T1)Expository Text Generation: Imitate, Retrieve, Paraphrase (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning (opens in a new tab)
- EMNLP (T1)Text Fact Transfer (opens in a new tab)
- Findings of ACLTowards Reasoning in Large Language Models: A Survey (opens in a new tab)
- TKDE (T1)Unified and Incremental SimRank: Index-Free Approximation With Scheduled Principle (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UIUCFall 2027
UIUC Siebel Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL iBT / IELTS
- Fee
- USD 90
Not yet confirmed for this intake.
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- DBLP
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