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 mentored by Prof Rada Mihalcea at University of Michigan, and we promote NLP for social good. I am also an ELLIS PhD (<5% acceptance rate) at MPI and ETH, and my ETH co-supervisors are Prof Mrinmaya Sachan and Prof Ryan Cotterell. 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 the Publications Chair for the 1st conference on Causal Learning and Reasoning (CLeaR). 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! Prof Rada Mihalcea and I are actively collecting NLP researchers’ opinions on social good by this form: bit.ly/nlp4sg-survey. We are happy to learn about how you think and let’s make NLP better together ❤️💪! You are also welcome to join our slack channel to discuss :)!
[For research mentees 🎉👋] I can (remotely) mentor research mentees 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. It is unpaid w.r.t. money, but fruitful w.r.t. research experience and fun :).
[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 “How Good is NLP” 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, CFP in Oct 2021) I will be the Publications Chair at the 1st conference on Causal Learning and Reasoning (CLeaR). Organizers include Bernhard Schölkopf, Caroline Uhler, and Kun Zhang. And Yoshua Bengio, Judea Pearl, and Max Welling will be on the advisory board.
- (Upcoming) Aug 5, 9am-8:45pm (ET): 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.
- (Upcoming) Aug 3, 7pm-8:30pm (Berlin time) ACL 2021 BoF/Meetup: NLP for Social Good: Hosted by Alex Cristia, Mrinmaya Sachan, Rada Mihalcea, Sam Bowman, Zhijing Jin. Gather town link is on Underline [Backup Zoom link] [Homepage]
- July 15, 2021: I delivered a talk at CyberValley, Germany on “AI/NLP for Social Good.” I will overview existing directions on AI for social good, and promising new research direction to pursue (see our paper on NLP4SG). Register link: https://lnkd.in/dJN2fRQ
- June 8, 2021: I hosted 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 gave 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 attended NAACL 2021, CHAI Workshop@Berkeley, and ICASSP 2021. Happy to grab a chat!
- June 10, 2021: My work on NLP&Causality (independent causal mechanisms) is 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 presented 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 attended 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