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.
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
Ziyan Jiang, Rui Meng, Xinyi Yang, Semih Yavuz, Yingbo Zhou, Wenhu Chen
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
Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application
Elan Markowitz, Ziyan Jiang, Fan Yang, Xing Fan, Zheng Chen, Greg Ver Steeg
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
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
Semi-Supervised Reward Modeling via Iterative Self-Training
Yifei He, Haoxiang Wang, Ziyan Jiang, Alexandros Papangelis, Han Zhao
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
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
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
PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based cOnversational uNderstanding
Niranjan Uma Naresh*, Ziyan Jiang*, Ankit*, Sungjin Lee, Jie Hao, Xing Fan, Chenlei Guo
Black-box Attacks on Spoofing Countermeasures Using Transferability of Adversarial Examples
Yuji Zhang, Yubo Zhang, Chunpu Xu, Jing Li, Ziyan Jiang, Baolin Peng
Black-box Attacks on Spoofing Countermeasures Using Transferability of Adversarial Examples
Yuekai Zhang, Ziyan Jiang, Jesús Villalba, Najim Dehak
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
- Gen-IR@SIGIR 2023 PALR: Personalization Aware LLMs for Recommendation, Fan Yang*, Zheng Chen*, Ziyan Jiang*, Eunah Cho, Xiaojiang Huang, Yanbin Lu
- 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
📖 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)