I’m an incoming CS Ph.D. student in the NLP Lab at UC Santa Barbara (UCSB), advised by Prof. Shiyu Chang. Previously, I earned my bachelor’s degree from Nanjing University and my master’s degree from Johns Hopkins University. Before starting my Ph.D., I spent several years as a full-time applied scientist at Amazon Alexa AI and Amazon AGI.

My research focuses on natural language processing, information retrieval, and speech recognition.

I’m always open to collaboration opportunities. If you’re interested, feel free to reach out to me via ziyanjiang528@gmail.com

🔥 News

• 2025.04: I’ve moved my personal homepage to this new site; the old one is now deprecated.

📝 Publications (*: equal contribution/co-first author)

Full publications on Google Scholar.

• Computer-use Agents@ICML 2025 Universal Retrieval for Multimodal Trajectory Modeling
  Xuan Zhang, Ziyan Jiang, Rui Meng, Yifei Leng, Zhenbang Xiao, Zora Zhiruo Wang, Yanyi Shang, Dehan Kong
  Paper

• Preprint VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents
  Rui Meng*, Ziyan Jiang*, Ye Liu, Mingyi Su, Xinyi Yang, Yuepeng Fu, Can Qin, Zeyuan Chen, Ran Xu, Caiming Xiong, Yingbo Zhou, Wenhu Chen, Semih Yavuz
  Paper Website

• Preprint StructEval: Benchmarking LLMs’ Capabilities to Generate Structural Outputs
  Jialin Yang, Dongfu Jiang, Lipeng He, Sherman Siu, Yuxuan Zhang, Disen Liao, Zhuofeng Li, Huaye Zeng, Yiming Jia, Haozhe Wang, Benjamin Schneider, Chi Ruan, Wentao Ma, Zhiheng Lyu, Yifei Wang, Yi Lu, Quy Duc Do, Ziyan Jiang, Ping Nie, Wenhu Chen
  Paper Website

• ICLR 2025 VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
  Ziyan Jiang, Rui Meng, Xinyi Yang, Semih Yavuz, Yingbo Zhou, Wenhu Chen
  Paper Website

• ICLR 2025 MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks
  Jiacheng Chen, Tianhao Liang, Sherman Siu, Zhengqing Wang, Kai Wang, Yubo Wang, Yuansheng Ni, Wang Zhu, Ziyan Jiang, Bohan Lyu, Dongfu Jiang, Xuan He, Yuan Liu, Hexiang Hu, Xiang Yue, Wenhu Chen
  Paper Website

• ICASSP 2025 Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application
  Elan Markowitz, Ziyan Jiang, Fan Yang, Xing Fan, Zheng Chen, Greg Ver Steeg, Aram Galstyan
  Paper

• Preprint LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
  Ziyan Jiang, Xueguang Ma, Wenhu Chen
  Paper

• NeurIPS 2024 MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
  Yubo Wang, Xueguang Ma, Ge Zhang, Yuansheng Ni, Abhranil Chandra, Shiguang Guo, Weiming Ren, Aaran Arulraj, Xuan He, Ziyan Jiang, Tianle Li, Max Ku, Kai Wang, Alex Zhuang, Rongqi Fan, Xiang Yue, Wenhu Chen
  Paper Code

• EMNLP 2024 VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation
  Xuan He, Dongfu Jiang, Ge Zhang, Max Ku, Achint Soni, Sherman Siu, Haonan Chen, Abhranil Chandra, Ziyan Jiang, Aaran Arulraj, Kai Wang, Quy Duc Do, Yuansheng Ni, Bohan Lyu, Yaswanth Narsupalli, Rongqi Fan, Zhiheng Lyu, Yuchen Lin, Wenhu Chen
  Paper Website

• EMNLP 2024 (Findings) Semi-Supervised Reward Modeling via Iterative Self-Training
  Yifei He, Haoxiang Wang, Ziyan Jiang, Alexandros Papangelis, Han Zhao
  Paper Code

• NAACL 2024 (Findings) RecMind: Large Language Model Powered Agent For Recommendation
  Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, Yingzhen Yang
  Paper

• EMNLP 2023 (Industry) Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding
  Zheng Chen*, Ziyan Jiang*, Fan Yang*, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, Aram Galstyan
  Paper

• Gen-IR@SIGIR 2023 PALR: Personalization Aware LLMs for Recommendation
  Fan Yang*, Zheng Chen*, Ziyan Jiang*, Eunah Cho, Xiaojiang Huang, Yanbin Lu
  Paper

• ICASSP 2023 KG-ECO: Knowledge Graph Enhanced Entity Correction for Query Rewriting
  Jinglun Cai, Mingda Li, Ziyan Jiang, Eunah Cho, Zheng Chen, Yang Liu, Xing Fan, Chenlei Guo
  Paper

• EMNLP 2022 (Industry) PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based cOnversational uNderstanding
  Niranjan Uma Naresh*, Ziyan Jiang*, Ankit*, Sungjin Lee, Jie Hao, Xing Fan, Chenlei Guo
  Paper

• NLP4ConvAI@EMNLP 2021 Personalized search-based query rewrite system for conversational ai
  Eunah Cho, Ziyan Jiang, Jie Hao, Zheng Chen, Saurabh Gupta, Xing Fan, Chenlei Guo
  Paper

• EMNLP 2021 #HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention
  Yuji Zhang, Yubo Zhang, Chunpu Xu, Jing Li, Ziyan Jiang, Baolin Peng
  Paper Code

• Interspeech 2020 Black-box Attacks on Spoofing Countermeasures Using Transferability of Adversarial Examples
  Yuekai Zhang, Ziyan Jiang, Jesús Villalba, Najim Dehak
  Paper Demo

• ASRU 2019 A Comparative Study on Transformer vs RNN in Speech Applications
  Shigeki Karita, Nanxin Chen, Tomoki Hayashi, Takaaki Hori, Hirofumi Inaguma, Ziyan Jiang, Masao Someki, Nelson Enrique Yalta Soplin, Ryuichi Yamamoto, Xiaofei Wang, Shinji Watanabe, Takenori Yoshimura, Wangyou Zhang
  Paper

📖 Educations

• 2018.08 - 2020.05
• Johns Hopkins University
• Electrical and Computer Engineering, M.S.

• 2014.09 - 2018.07
• Nanjing University
• Acoustics & Physics, B.S.

💻 Working Experiences

• 2020.07 - 2024.08
• Amazon Alexa AI & AGI
• Applied Scientist I -> Applied Scientist II

🧐 Services

• Conference Reviewer: NeurIPS(2024-Present), ICLR(2024-Present), ACL ARR(2023-Present), ICASSP(2024-Present)
• Journal Reviewer: IEEE Access, TOIS
• Workshop Organizer: The First Workshop on Personalized Generative AI (@CIKM2023), The Second Workshop on Generative Information Retrieval (@SIGIR2024)