I am an enthusiastic AI researcher and effective altruist. I am a 1st-year Ph.D. working on NLP & Causality with Bernhard Schoelkopf, who is a professor at Max Planck Institute for Intelligent Systems, Germany & ETH Zürich. I am co-supervised by Prof Rada Mihalcea at University of Michigan, and Prof Mrinmaya Sachan at ETH Zürich. Previously, I was a research intern at Amazon AI (2019-2020), supervised by Prof Zheng Zhang, Prof Xipeng Qiu and Dr. David Wipf.
My career goal is to be a professor in NLP, and actively promote NLP for social good. To this end, I am organizing the NLP for Positive Impact Workshop at ACL 2021, and I have organized the RobustML Workshop at ICLR 2021. I am also engaged in Effective Altruism, a social movement to involve people in doing good with high efficiency. Previously, I obtained my bachelor’s degree (1st Class Honors) from the University of Hong Kong. During undergrad, I had visiting semesters at MIT and National Taiwan University. [Here is my bio for talks]
[❤️Help with our NLP4SocialGood Survey❤️] Hi! We are trying to figure out how NLP community thinks about social good. Prof Rada Mihalcea and I are actively collecting NLP researchers’ opinions by this Google form: https://forms.gle/zMCmdkAigWQjGtc66. You are very welcome to participate! We are happy to learn about how you think😄 and let’s make NLP better together ❤️💪!
[For interns🎉👋] I can (remotely) mentor research interns with strong coding skills. If you are interested in working on NLP with me (full-time in summer, or part-time during semester), feel free to fill in this application form, and I will contact you if we can have you remotely collaborate with ETH or UMich labs.
[Apply to our ACL Year-Round Mentorship Program] We are supporting junior researchers in NLP. You can apply as a mentee👩🎓👨🎓, mentor👩🏫👨🏫, and volunteer🙋🙋♂️. By this program, you can have monthly Q&A sessions with senior NLP profs/researchers, and join a slack channel to get to know world-wide NLP researchers. I compiled a GitHub list of resources to help Global Equality for PhDs in NLP.
Here is a list of topics I work on:
- NLP & Causality (with Max Planck Institute & ETH): Two papers under review, and four ongoing projects in this promising virgin field.
- NLP for Social Good (with UMich, MIT & EA): Analyze the interaction among policies, public opinion, and media framing by NLP & Causality. For other social good directions, see my paper at ACL 2021 Findings, GitHub paper list, and our workshop on NLP for Positive Impact@ACL 2021.
- Text Generation TextGen (with Amazon AI & MIT): Graph-to-text generation; text style transfer (see our survey); adversarial generation (for NLP robustness Robust).
- Information Extraction IE (with Amazon AI & MIT): Relation Extraction (RE); Named Entity Recognition (NER).
- Medical AI Medical (with Harvard & Dana-Farber): NER on clinical notes; clinical outcome prediction.
- I also have a growing interest in epistemology, AI for policy making, and AI for life coaching. Feel free to contact me for interdisciplinary research.
Organized Events & Talks
- (Upcoming, in 2 months) Aug 5, 2021: I am co-organizing the NLP for Positive Impact workshop at ACL-IJCNLP 2021! Invited speakers/panelists include Yejin Choi, Pascale Fung, Yulia Tsvetkov, Jason Weston, etc.
- June 8, 2021: I will host a meet-up session on NLP for Social Good at CHAI Workshop@Berkeley (private event as last year; email me for the link if interested in attending).
- June 7, 2021: I will give a talk about advice on grad school applications at BrainSTEM & HKU-Robomaster (Zoom recording from 51’00: here, password: 7h1B*VZm).
- May 7, 2021: I co-organized the RobustML workshop at ICLR 2021! Invited speakers include Percy Liang, Ece Kamar, etc.
- June 6-10, 2021: I am attending NAACL 2021, CHAI Workshop@Berkeley, and ICASSP 2021. Happy to grab a chat!
- June 10 (4pm Germany time), 2021: My work on NLP&Causality (independent causal mechanisms) will be introduced in the Keynote of Bernhard Schoelkopf at ICASSP 2021. There will be YouTube streaming.
- May 5, 2021: My first-author paper on NLP for Social Good is accepted to Findings of ACL 2021!
- Jan 25, 2021: Our paper on one-to-many mapping of cycle training is accepted to AISTATS 2021!
- Dec 27, 2020: I will present our EMNLP 2020 paper ABSA robustness at CSSNLP seminar.
- Dec 18, 2020: I presented two papers at the INLG 2020 workshop, WebNLG+.
- Dec 12, 2020: Our RobustAI workshop is accepted to ICLR 2021!
- Dec 6-11, 2020: I am attending NeurIPS, and COLING. Happy to grab a chat!
- Nov 21, 2020: We achieved the 1st place at the INLG 2020 workshop, WebNLG+. Plus, our second paper, CycleGT, is admitted to the workshop too.
- Nov 17, 2020: Our ABSA robustness paper is presented at EMNLP 2020!
- Nov 7, 2020: Our 1st workshop on NLP for Positive Impact is accepted to ACL@2021!
- Sept 30, 2020: 1 paper accepted to COLING 2020: GenWiki, an unsupervised graph-to-text dataset with 1.3M data.
- For more news, please check here.
For the .bib file of my publications, please check here.
Robust Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Di Jin*, Zhijing Jin*, Tianyi Joey Zhou, Peter Szolovits
AAAI 2020 (20.6%) / Paper / Code / Slides / Poster / MIT News / ACM TechNews / WeVolver / VentureBeat / Synced (Chinese)
CogSci Prediction of Story Ending with Optimistic and Pessimistic Mindsets
Zhijing Jin, Prof. Patrick Winston (1943-2019)
Tool Word Representations for Computing Semantic Relatedness
Zhijing Jin, Xiaolong Gong, Linpeng Huang
In contribution to the AAAI 2018 paper.
Tutorial & Survey
NLP Graph Neural Net Applications for Natural Language Processing
Xipeng Qiu, Zhijing Jin, Xiangkun Hu