eaminc.github.io/intro.html at main · EaminC/eaminc.github.io · GitHub

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<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="UTF-8" />
    <title>Yiming Cheng - Academic CV</title>
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  </head>
  <body>
    <div class="header">
      <h1>YIMING CHENG</h1>
      <div>+1 (773) 690-7675 | eaminc0328@gmail.com | Chicago, Illinois</div>
    </div>

    <!-- 教育背景 -->
    <div class="section-block">
      <h2>EDUCATION</h2>
      <div>
        <span class="institution"
          >Tsinghua University, Department of Electronic Engineering</span
        >
        <span class="date">Sep 2019 - Jul 2024</span>
        <div>Bachelor of Engineering in Electronic Engineering (Major)</div>
        <div>Minor in Statistics, Minor in Laws</div>
      </div>

      <div style="margin-top: 22px">
        <span class="institution"
          >University of Chicago, Department of Computer Science</span
        >
        <span class="date">Expected Jan 2026</span>
        <div>Master in Computer Science (Pre-doc),Mlsys track</div>
        <div>GPA: <span class="highlight">3.95/4.0</span></div>
      </div>
    </div>

    <!-- 出版物 -->
    <div class="section-block">
      <h2>PUBLICATIONS</h2>
      <div class="publication-item">
        • Yang, Y., <span class="highlight">Cheng, Y.</span>, Feng, H., & Han,
        Z. "Emotion-Aware Scene Adaptation: A Bandwidth-Efficient Approach for
        Generating Animated Short". <i>MDPI Sensors 2024.</i>.
      </div>
      <div class="publication-item">
        • Lan, X., <span class="highlight">Cheng, Y.</span>, Sheng, L., Gao, C.,
        & Li, Y. "Depression detection on social media with large language
        models". <i>arXiv preprint</i> arXiv:2403.10750.
      </div>
      <div class="publication-item">
        • Lan, X., Piao, .., <span class="highlight">Cheng, Y.</span>, Gao, C.,
        Li, Y., et al. "Recommendation for Inclusivity of Underrepresented
        Producers in User-generated Content Platforms". <i>in Recycle</i>.
      </div>
      <div class="publication-item">
        • Yang, Y., Feng, H., <span class="highlight">Cheng, Y.</span>, Ma, Y.,
        & Han, Z. "Minimizing Hallucinations and Communication Cost: Adversarial
        Debate and Voting Mechanisms in LLM-Based Multi-Agents".
        <i>MDPI Applied Science 2025</i>.
      </div>
      <div class="publication-item">
        • <span class="highlight">Cheng, Y.</span> "Research on Recommendation
        System Technology Based on Large Language Models".
        <i>Tsinghua University Graduation Design</i>.
      </div>
      <div class="publication-item">
        • Patent: Yang, Y., <span class="highlight">Cheng, Y.</span>, Feng, H.,
        et al. "A Semantic Encoding and Decoding Framework for Converting Visual
        Content into Virtual Animated Visual Representations".
      </div>
    </div>

    <!-- 研究经历 -->
    <div class="section-block">
      <h2>RESEARCH EXPERIENCE</h2>
<span class="number-box">Graduate</span>
      <div>
        <span class="institution">Lmcache Team</span>
        <span class="date">Sep 2024 - Present</span>
        <div>
          Open Source Contributor
          <span class="advisor">Advisor: Prof. Junchen Jiang</span>
        </div>
        <ul>
          <li>
            LMCache: The first open-source Knowledge Delivery Network (KDN) that
            accelerates LLM applications up to 8x faster, at 8x lower cost
          </li>
          <li>
            VLLM/production stack: Scale from single vLLM instance to
            distributed vLLM deployment without changing any application code.
            Now an official project under vLLM
          </li>
          <li>
            Maintain and contribute to Open-Source repo. Working on Router
            Scheduling and cloud deployment. Contributed 1262 lines of code
          </li>
        </ul>
      </div>

      <div>
        <span class="institution">Argonne National Laboratory</span>
        <span class="date">May 2025 - Oct 2025</span>
        <div>
          Research Assistant
          <span class="advisor">Advisor: Prof. Kexin Pei</span>
        </div>
        <ul>
          <li>
            2025 Summer of Reproducibility (SoR) Fellowship under the Open
            Source Research Experience (OSRE) and REPETO programs,with United
            States National Science Foundation
          </li>
          <li>
            EnvGym: Project Leader,build and design a system-optimized agent
            system for environment setup
          </li>
        </ul>
      </div>
<span class="number-box">Undergraduate</span>
      <div>
        <span class="institution"
          >Future Intelligent Lab (FIBLAB), Tsinghua University</span
        >
        <span class="date">Jul 2022 - Jun 2024</span>
        <div>
          Research Assistant <span class="advisor">Advisor: Prof. Yong Li</span>
        </div>
        <ul>
          <li>
            Recommendation for Inclusivity of Underrepresented Producers in
            User-generated Content Platform:
          </li>
          <ul>
            <li>
              Take the pioneering step to thinking of the inclusivity issue of
              underrepresented producers in UGC (user-generated content)
              platform
            </li>
            <li>
              Propose to construct a heterogeneous graph that can enrich the
              relations of vulnerable populations, and further propose graph
              neural networks to learn representations based on enriching
              features from multi-hop neighbors
            </li>
          </ul>
          <li>City Socioeconomic Simulator based on Large Language Models:</li>
          <ul>
            <li>
              Use UE to Build a visual model scene of Beijing (CBD district)
            </li>
            <li>
              Use python to write scripts for agents to interface with LLM and
              design the agents' memory mechanism to do POI recommendation (POI
              means point of interest in the city)
            </li>
            <li>Design and plug in agent-based recommendation systems</li>
          </ul>
        </ul>
      </div>

      <div style="margin-top: 25px">
        <span class="institution"
          >Signal Processing Lab, Tsinghua University</span
        >
        <span class="date">Mar 2022 - Jun 2024</span>
        <div>
          Research Assistant
          <span class="advisor">Advisor: Aso Prof. Yi Yang</span>
        </div>
        <ul>
          <li>
            Emotion-Aware Scene Adaptation: A Bandwidth-Efficient Approach for
            Generating Animated Shorts
          </li>
          <ul>
            <li>
              Use the PyTorch framework, build an image element and emotion
              recognition model based on the CLIP model and InceptionV3, and use
              PAD (Pleasure-Arousal-Dominance) for emotion scoring
            </li>
            <li>
              Enhance the generated semantics using the EmoCap model trained
              based on PAD scores for emotion style, ultimately achieving higher
              emotional coherence than the baseline on the received new video
              frames
            </li>
          </ul>
        </ul>
      </div>

      <div style="margin-top: 25px">
        <span class="institution"
          >Wireless Networking, Signal Processing and Security Lab, University
          of Houston</span
        >
        <span class="date">Apr 2022 - Jun 2024</span>
        <div>
          Research Assistant
          <span class="advisor">Advisor: Prof. Zhu Han, Member of NAS</span>
        </div>
        <ul>
          <li>
            Scalable AI Generative Content for Vehicular Network Semantic
            Communication
          </li>
          <ul>
            <li>
              This project aims to establish a large-model-based semantic
              communication channel and test its accuracy on a vehicular dataset
            </li>
            <li>
              Build and test a channel in PyTorch that uses CLIP to convert
              original images into semantics and then uses Stable Diffusion to
              restore semantics back into images
            </li>
          </ul>
        </ul>
      </div>
    </div>

    <!-- 实习经历 -->
    <div class="section-block">
      <h2>INTERNSHIP EXPERIENCE</h2>
      <div>
        <span class="institution"
          >Beijing SmartBow Information Technology Co., Ltd.</span
        >
        <span class="date">Jun 2023 - Sep 2023</span>
        <div>Software Engineer</div>
        <ul>
          <li>
            Refactor the Sunflower library (main functions include JSON parsing,
            MQTT, B-Stack device information parsing, and data transmission
            encryption) for the company's Internet of Things (IoT) data platform
            using Go-lang
          </li>
          <li>
            Perform functional and performance testing on the refactored
            Sunflower library
          </li>
          <li>
            Collaborate with hardware interns to debug and ensure successful
            MQTT-based data transfer of bridge deflection, vibration frequency,
            and temperature data from LuZhou Bridge to the company's database
          </li>
        </ul>
      </div>

      <div style="margin-top: 25px">
        <span class="institution"
          >Beijing Thunisoft Information Technology Co., Ltd.</span
        >
        <span class="date">Jul 2022 - Sep 2022</span>
        <div>Software Engineer</div>
        <ul>
          <li>
            Use Spring Batch to develop a batch job scheduling system supporting
            complex workflows and dependency management. Scheduled tasks are
            executed as planned using Cron expression triggers
          </li>
          <li>Integrate Quartz scheduler for enhanced flexibility</li>
          <li>
            Data integrity and stability are assured with Spring transaction
            management and JDBC operations
          </li>
        </ul>
      </div>
    </div>

      <div style="margin-top: 25px">
        <span class="institution"
          >Shanghai Nonconvex Intelligent Technology Co., Ltd. </span
        >
        <span class="date">May 2025 — Sep 2025</span>
        <div>Quantitative Fin-tech Developer Intern(Remote)</div>
        <ul>
          <li>todo</li>
        </ul>
      </div>
    </div>


    <div class="section-block">
      <h2>ADDITIONAL INFORMATION</h2>
      <div class="compact-layout">
        <!-- 奖学金 -->
        <div class="compact-item">
          <span class="compact-label">Scholarship:</span>
          <span>
            Merit-based Predoc Scholarship of $40,000, University of Chicago
            (2024)<br />
            United States National Science Foundation for SoR project (2025)
          </span>
        </div>

        <!-- 研究领域 -->
        <div class="compact-item">
          <span class="compact-label">Research Fields:</span>
          <div class="field-details">
            <div>
              <strong>Undergraduate:</strong> Data mining (Recommendation
              System, Emotion Awareness, EmbodiedCity)
            </div>
            <div>
              <strong>Current/Future:</strong>
              System for machine learning (distributed LLM deployment,
              distributed KV cache, efficient ml), Machine learning for systems
              (machine learning for code generation)
            </div>
          </div>
        </div>

        <!-- 技术栈 -->
        <div class="compact-item">
          <span class="compact-label">Programming Skills:</span>
          <span
            >Python (PyTorch, CuPy), Go (Docker, K8s), Git (Github action),
            Linux, C, C++, Matlab, Verilog etc.</span
          >
        </div>

        <!-- 个人网站 -->
        <div class="compact-item">
          <span class="compact-label">Personal Website:</span>
          <a href="https://eaminc.github.io/">https://eaminc.github.io/</a>
          <span class="url-detail"
            >(includes GitHub, Google Scholar and other detailed
            information)</span
          >
        </div>
      </div>
    </div>
  </body>
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