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  <title>Zeman Li — Publications</title>
  <subtitle>Publications by Zeman Li, auto-synced daily from Semantic Scholar.</subtitle>
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  <updated>2026-08-31T14:35:15+00:00</updated>
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  <author>
    <name>Zeman Li</name><email>zemanli@usc.edu</email>
    <uri>https://lizeman.github.io</uri>
  </author>
  <rights>Bibliographic metadata only; rights to each paper belong to its publisher / authors.</rights>
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    <title>Mem3R: Streaming 3D Reconstruction with Hybrid Memory via Test-Time Training</title>
    <id>https://arxiv.org/abs/2604.07279</id>
    <link rel="alternate" href="https://arxiv.org/abs/2604.07279" type="text/html"/>
    <updated>2026-01-01T00:00:09Z</updated>
    <published>2026-01-01T00:00:09Z</published>
    
    <author><name>Changkun Liu</name><uri>https://lck666666.github.io</uri></author>
    
    <author><name>Jiezhi Yang</name><uri>https://www.semanticscholar.org/author/2118579647</uri></author>
    
    <author><name>Zeman Li</name><uri>https://sites.google.com/corp/usc.edu/zemanli/</uri></author>
    
    <author><name>Yuan Deng</name><uri>https://www.semanticscholar.org/author/2325194132</uri></author>
    
    <author><name>Jiancong Guo</name><uri>https://www.semanticscholar.org/author/2331192154</uri></author>
    
    <author><name>Luca Ballan</name><uri>https://www.semanticscholar.org/author/2565514</uri></author>
    
    <category term="arXiv (preprint)" label="arXiv (preprint)"/>
    <category term="2026" label="Year 2026"/>
    <summary>arXiv (preprint) · 2026</summary>
  </entry>
  <entry>
    <title>Memory Caching: RNNs with Growing Memory</title>
    <id>https://arxiv.org/abs/2602.24281</id>
    <link rel="alternate" href="https://arxiv.org/abs/2602.24281" type="text/html"/>
    <updated>2026-01-01T00:00:08Z</updated>
    <published>2026-01-01T00:00:08Z</published>
    
    <author><name>Ali Behrouz</name><uri>https://www.semanticscholar.org/author/46211294</uri></author>
    
    <author><name>Zeman Li</name><uri>https://sites.google.com/corp/usc.edu/zemanli/</uri></author>
    
    <author><name>Yuan Deng</name><uri>https://www.semanticscholar.org/author/2325194132</uri></author>
    
    <author><name>Peilin Zhong</name><uri>https://www.semanticscholar.org/author/2249561001</uri></author>
    
    <author><name>Meisam Razaviyayn</name><uri>https://www.semanticscholar.org/author/1800298</uri></author>
    
    <author><name>V. Mirrokni</name><uri>https://www.semanticscholar.org/author/1728881</uri></author>
    
    <category term="arXiv (preprint)" label="arXiv (preprint)"/>
    <category term="2026" label="Year 2026"/>
    <summary>arXiv (preprint) · 2026</summary>
  </entry>
  <entry>
    <title>Online Neural Space Time Memory for Dynamic Novel View Synthesis</title>
    <id>https://arxiv.org/abs/2607.15271</id>
    <link rel="alternate" href="https://arxiv.org/abs/2607.15271" type="text/html"/>
    <updated>2026-01-01T00:00:07Z</updated>
    <published>2026-01-01T00:00:07Z</published>
    
    <author><name>Baback Elmieh</name><uri>https://www.semanticscholar.org/author/2989298</uri></author>
    
    <author><name>Lynn Tsai</name><uri>https://www.semanticscholar.org/author/2271487790</uri></author>
    
    <author><name>Zeman Li</name><uri>https://sites.google.com/corp/usc.edu/zemanli/</uri></author>
    
    <author><name>Srinivas Kaza</name><uri>https://www.semanticscholar.org/author/2332241925</uri></author>
    
    <author><name>Tiancheng Sun</name><uri>https://www.semanticscholar.org/author/2274202611</uri></author>
    
    <author><name>Gabor Csapo</name><uri>https://www.semanticscholar.org/author/2450229370</uri></author>
    
    <author><name>Ali Behrouz</name><uri>https://www.semanticscholar.org/author/46211294</uri></author>
    
    <author><name>Yuan Deng</name><uri>https://www.semanticscholar.org/author/2325194132</uri></author>
    
    <author><name>Stephen Lombardi</name><uri>https://www.semanticscholar.org/author/2274101898</uri></author>
    
    <author><name>S. Seitz</name><uri>https://www.semanticscholar.org/author/1679223</uri></author>
    
    <author><name>Xuan Luo</name><uri>https://www.semanticscholar.org/author/2332307362</uri></author>
    
    <category term="arXiv (preprint)" label="arXiv (preprint)"/>
    <category term="2026" label="Year 2026"/>
    <summary>arXiv (preprint) · 2026</summary>
  </entry>
  <entry>
    <title>PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts</title>
    <id>https://arxiv.org/abs/2502.06244</id>
    <link rel="alternate" href="https://arxiv.org/abs/2502.06244" type="text/html"/>
    <updated>2026-01-01T00:00:06Z</updated>
    <published>2026-01-01T00:00:06Z</published>
    
    <author><name>Zeman Li</name><uri>https://sites.google.com/corp/usc.edu/zemanli/</uri></author>
    
    <author><name>Yuan Deng</name><uri>https://www.semanticscholar.org/author/2325194132</uri></author>
    
    <author><name>Peilin Zhong</name><uri>https://www.semanticscholar.org/author/2249561001</uri></author>
    
    <author><name>Meisam Razaviyayn</name><uri>https://www.semanticscholar.org/author/1800298</uri></author>
    
    <author><name>V. Mirrokni</name><uri>https://www.semanticscholar.org/author/1728881</uri></author>
    
    <category term="NeurIPS 2026 (Spotlight)" label="NeurIPS 2026 (Spotlight)"/>
    <category term="2026" label="Year 2026"/>
    <summary>NeurIPS 2026 (Spotlight) · 2026</summary>
  </entry>
  <entry>
    <title>TNT: Improving Chunkwise Training for Test-Time Memorization</title>
    <id>https://arxiv.org/abs/2511.07343</id>
    <link rel="alternate" href="https://arxiv.org/abs/2511.07343" type="text/html"/>
    <updated>2026-01-01T00:00:05Z</updated>
    <published>2026-01-01T00:00:05Z</published>
    
    <author><name>Zeman Li</name><uri>https://sites.google.com/corp/usc.edu/zemanli/</uri></author>
    
    <author><name>Ali Behrouz</name><uri>https://www.semanticscholar.org/author/46211294</uri></author>
    
    <author><name>Yuan Deng</name><uri>https://www.semanticscholar.org/author/2325194132</uri></author>
    
    <author><name>Peilin Zhong</name><uri>https://www.semanticscholar.org/author/2249561001</uri></author>
    
    <author><name>Praneeth Kacham</name><uri>https://www.semanticscholar.org/author/1471876925</uri></author>
    
    <author><name>Mahdi Karami</name><uri>https://www.semanticscholar.org/author/2332101471</uri></author>
    
    <author><name>Meisam Razaviyayn</name><uri>https://www.semanticscholar.org/author/1800298</uri></author>
    
    <author><name>V. Mirrokni</name><uri>https://www.semanticscholar.org/author/1728881</uri></author>
    
    <category term="ICLR 2026 (Spotlight)" label="ICLR 2026 (Spotlight)"/>
    <category term="2026" label="Year 2026"/>
    <summary>ICLR 2026 (Spotlight) · 2026</summary>
  </entry>
  <entry>
    <title>Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models</title>
    <id>https://arxiv.org/abs/2410.06441</id>
    <link rel="alternate" href="https://arxiv.org/abs/2410.06441" type="text/html"/>
    <updated>2025-01-01T00:00:04Z</updated>
    <published>2025-01-01T00:00:04Z</published>
    
    <author><name>Zeman Li</name><uri>https://sites.google.com/corp/usc.edu/zemanli/</uri></author>
    
    <author><name>Xinwei Zhang</name><uri>https://www.semanticscholar.org/author/2324989955</uri></author>
    
    <author><name>Peilin Zhong</name><uri>https://www.semanticscholar.org/author/2249561001</uri></author>
    
    <author><name>Yuan Deng</name><uri>https://www.semanticscholar.org/author/2325194132</uri></author>
    
    <author><name>Meisam Razaviyayn</name><uri>https://www.semanticscholar.org/author/1800298</uri></author>
    
    <author><name>V. Mirrokni</name><uri>https://www.semanticscholar.org/author/1728881</uri></author>
    
    <category term="ICLR 2025" label="ICLR 2025"/>
    <category term="2025" label="Year 2025"/>
    <summary>ICLR 2025 · 2025</summary>
  </entry>
  <entry>
    <title>ATLAS: Learning to Optimally Memorize the Context at Test Time</title>
    <id>https://arxiv.org/abs/2505.23735</id>
    <link rel="alternate" href="https://arxiv.org/abs/2505.23735" type="text/html"/>
    <updated>2025-01-01T00:00:03Z</updated>
    <published>2025-01-01T00:00:03Z</published>
    
    <author><name>Ali Behrouz</name><uri>https://www.semanticscholar.org/author/46211294</uri></author>
    
    <author><name>Zeman Li</name><uri>https://sites.google.com/corp/usc.edu/zemanli/</uri></author>
    
    <author><name>Praneeth Kacham</name><uri>https://www.semanticscholar.org/author/1471876925</uri></author>
    
    <author><name>Majid Daliri</name><uri>https://www.semanticscholar.org/author/2353379209</uri></author>
    
    <author><name>Yuan Deng</name><uri>https://www.semanticscholar.org/author/2325194132</uri></author>
    
    <author><name>Peilin Zhong</name><uri>https://www.semanticscholar.org/author/2249561001</uri></author>
    
    <author><name>Meisam Razaviyayn</name><uri>https://www.semanticscholar.org/author/1800298</uri></author>
    
    <author><name>V. Mirrokni</name><uri>https://www.semanticscholar.org/author/1728881</uri></author>
    
    <category term="arXiv (preprint)" label="arXiv (preprint)"/>
    <category term="2025" label="Year 2025"/>
    <summary>arXiv (preprint) · 2025</summary>
  </entry>
  <entry>
    <title>Synthetic Text Generation for Training Large Language Models via Gradient Matching</title>
    <id>https://arxiv.org/abs/2502.17607</id>
    <link rel="alternate" href="https://arxiv.org/abs/2502.17607" type="text/html"/>
    <updated>2025-01-01T00:00:02Z</updated>
    <published>2025-01-01T00:00:02Z</published>
    
    <author><name>Dang Nguyen</name><uri>https://www.semanticscholar.org/author/2349078275</uri></author>
    
    <author><name>Zeman Li</name><uri>https://sites.google.com/corp/usc.edu/zemanli/</uri></author>
    
    <author><name>M. Bateni</name><uri>https://www.semanticscholar.org/author/70638610</uri></author>
    
    <author><name>V. Mirrokni</name><uri>https://www.semanticscholar.org/author/1728881</uri></author>
    
    <author><name>Meisam Razaviyayn</name><uri>https://www.semanticscholar.org/author/1800298</uri></author>
    
    <author><name>Baharan Mirzasoleiman</name><uri>https://www.semanticscholar.org/author/2389094</uri></author>
    
    <category term="ICML 2025" label="ICML 2025"/>
    <category term="2025" label="Year 2025"/>
    <summary>ICML 2025 · 2025</summary>
  </entry>
  <entry>
    <title>Optimal Differentially Private Model Training with Public Data</title>
    <id>https://arxiv.org/abs/2306.15056</id>
    <link rel="alternate" href="https://arxiv.org/abs/2306.15056" type="text/html"/>
    <updated>2024-01-01T00:00:01Z</updated>
    <published>2024-01-01T00:00:01Z</published>
    
    <author><name>Andrew Lowy</name><uri>https://www.semanticscholar.org/author/2079049762</uri></author>
    
    <author><name>Zeman Li</name><uri>https://sites.google.com/corp/usc.edu/zemanli/</uri></author>
    
    <author><name>Tianjian Huang</name><uri>https://www.semanticscholar.org/author/9410572</uri></author>
    
    <author><name>Meisam Razaviyayn</name><uri>https://www.semanticscholar.org/author/1800298</uri></author>
    
    <category term="ICML 2024" label="ICML 2024"/>
    <category term="2024" label="Year 2024"/>
    <summary>ICML 2024 · 2024</summary>
  </entry>
  
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