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Hongming Zhang

Biography

I am currently a senior research scientist at Tencent AI Lab, Seattle. Before that, I was a research scholar at University of Pennsylvania, working with Prof. Prof. Dan Roth. In 2021, I got my Ph.D. degree from HKUST, supervised by Prof. Yangqiu Song. Before that, I received my MPhil. degree from the TLE program, HKUST in 2018 and B.E.degree from the ECE department, HKUST in 2016. My research interest is primarily on commonsense reasoning and multi-modal event understanding. Specifically, I aim at building a large-scale eventuality-centric knowledge graph to connect different modalities and help machines understand the event-centric commonsense. You can find me at hzhangal [AT] cse.ust.hk or learn more about me with my Google Scholar, Github, and CV (Dec, 2022).

Current Research Focus

  • Commonsense Reasoning
  • Open-domain Event Understanding
  • Selectional Preference
  • Coreference Resolution

News

  • 01/2024: Three papers are accepted to EACL 2024 findings.
  • 12/2023: Our paper on sentence representation has been awarded the outstanding paper of EMNLP 2023.
  • 10/2023: Five papers are accepted to EMNLP 2023. Topics including Open-world Information Extraction, Sentence Embedding for Information Retrieval, and story-level commonsense reasoning.
  • 09/2023: Our paper "Thrust: Adaptively Propels Large Language Models with External Knowledge" has been accepted to Neurips 2023.
  • 07/2023: Our paper "Video State-changing Object Segmentation" has been accepted to ICCV 2023.
  • 05/2023: Invited to serve as the reviewer for EMNLP 2023.
  • 05/2023: Invited to serve as the Area Chair for AACL 2023.
  • 05/2022: Two papers about event causal relation induction and faithful reasoning with LM are accepted to ACL 2023 main conferences.
  • 01/2022: Our paper "Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models" has been accepted as ICLR 2023 Spotlight.
  • 01/2022: Four papers have been accepted by EACL 2023. Topics including event relation extraction, commonsense reasoning, event argument extraction, and sentence key semantics identification.
  • 12/2022: Invited to serve as the PC for IJCAI 2023 and ACL 2023.
  • 11/2022: Invited to serve as the PC for CVPR 2023.
  • 10/2022: Seven papers are accepted to EMNLP 2022 (including findings).
  • 09/2022: Our paper "Learning Event Extraction From a Few Guideline Examples" has been accepted to IEEE/ACM Transactions on Audio, Speech, and Language Processing.
  • 08/2022: Our paper "Multilingual Word Sense Disambiguation with Unified Sense Representation" has been accepted to COLING 2022.
  • 08/2022: Invited to serve as the senior PC for AAAI 2023.
  • 05/2022: One paper about acquiring commonsense causality between daily events has been accepted to ICML 2022.
  • 05/2022: Our ASER paper has been accepted to Artificial Intelligence.
  • 05/2022: Invited to serve as the reviewer for ECCV 2022.
  • 04/2022: Our zero-shot topic classification system has been accepted as one of the NAACL 2022 Demo paper.
  • 04/2022: Two papers about reasoning over KGs and explainable QA systems were accepted to NAACL 2022 Findings.
  • 04/2022: One paper about pronoun coreference resolution was accepted to LREC 2022.
  • 02/2022: I am happy to received the HKUST Engineering PhD Research Excellence Finalist Award.
  • 02/2022: Two papers about commonsense knowledge and word sense disambiguation are accepted by ACL 2022.
  • 01/2022: One paper about applying coreference resolution for better dialogue understanding is accepted to Pattern Recognition.

Talks

  • 2021 July: Tencent. Towards Commonsense Reasoning from the Angle of Eventualities.
  • 2021 June: Mila AI Seminar. Towards Commonsense Reasoning from the Angle of Eventualities.
  • 2021 April: Amazon Search. Commonsense Reasoning from the Angle of Eventualities. [Slides]
  • 2021 February: AAAI 2021 Tutorial (with Muhao, Qiang, Manling, Heng, and Dan). Event-centric Natural Language Understanding. [Slides]
  • 2021 January: Tsinghua AI Time Forum. The Transferability from Linguistic Knowledge to Commonsense Knowledge. [Slides]
  • 2020 November: Google. Analogous Process Structure Induction for Sub-event Sequence Prediction. [Slides]
  • 2020 September: NLP with Friends. Commonsense Reasoning from the Angle of Eventualities. [Slides] [Video]
  • 2019 October: Microsoft Research Asia (MSRA). Event-centric Commonsense Reasoning with Structured Knowledge. [Slides]
[Selected Publications by Topics] [Full Publications by Year]

Commonsense Reasoning

  • Hongming Zhang*, Xin Liu*, Haojie Pan*, Yangqiu Song, and Cane Wing-Ki Leung. ASER: A Large-scale Eventuality Knowledge Graph. The Web Conference (WWW). 2020. [PAPER] [CODE & DATA] [PPT]
  • Hongming Zhang, Daniel Khashabi, Yangqiu Song, and Dan Roth. TransOMCS: From Linguistic Graphs to Commonsense Knowledge. International Joint Conference on Artificial Intelligence (IJCAI). 2020. [PAPER] [CODE & DATA] [PPT]
  • Hongming Zhang*, Xinran Zhao*, and Yangqiu Song. WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge. Annual Meeting of the Association for Computational Linguistics (ACL). 2020. [PAPER] [CODE & DATA] [PPT]
  • Tianqing Fang, Hongming Zhang, Weiqi Wang, Yangqiu Song, and Bin He. DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge. The Web Conference (WWW). 2021. [PAPER] [CODE & DATA]
  • Changlong Yu*, Hongming Zhang*, Yangqiu Song, and Wilfred Ng. CoCoLM: COmplex COmmonsense Enhanced Language Model. Annual Meeting of the Association for Computational Linguistics (ACL) Findings. 2022. [PAPER] [CODE & DATA]

Event Understanding

  • Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, and Dan Roth. Analogous Process Structure Induction for Sub-event Sequence Prediction. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020. [PAPER] [CODE & DATA] [PPT]
  • Muhao Chen, Hongming Zhang, Haoyu Wang, and Dan Roth. What Are You Trying to Do? Semantic Typing of Event Processes. The SIGNLL Conference on Computational Natural Language Learning (CoNLL). 2020. [PAPER] [CODE & DATA] (Best Paper Nomination)
  • Hongming Zhang, Yintong Huo, Xinran Zhao, Yangqiu Song, and Dan Roth. Learning Contextual Causality from Time-consecutive Images. Causality in Vision workshop at CVPR 2021. [PAPER] [CODE & DATA]

Information Extraction

  • Hongming Zhang, Haoyu Wang, and Dan Roth. Zero-shot Label-Aware Event Trigger and Argument Classification. Annual Meeting of the Association for Computational Linguistics (ACL) Findings. 2021.
  • Qing Lyu, Hongming Zhang, Elior Sulem, and Dan Roth. Zero-shot Event Extraction via Transfer Learning: Challenges and Insights. Annual Meeting of the Association for Computational Linguistics (ACL). 2021. (Short Paper)
  • Haoyu Wang, Muhao Chen, Hongming Zhang, and Dan Roth. Joint Constrained Learning for Event-Event Relation Extraction. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020. [PAPER] [CODE]

KG for NLP

  • Hongming Zhang, Yan Song, Yangqiu Song, and Dong Yu. Knowledge-aware Pronoun Coreference Resolution. Annual Meeting of the Association for Computational Linguistics (ACL). 2019. [PAPER] [CODE] [PPT]
  • Hongming Zhang, Yan Song, and Yangqiu Song. Incorporating Context and External Knowledge for Pronoun Coreference Resolution. North American Chapter of the Association for Computational Linguistics (NAACL-HLT). 2019. [PAPER] [CODE] [PPT]

Journal Publications

2022

  • Hongming Zhang*, Xin Liu*, Haojie Pan*, Haowen Ke, Tianqing Fang, Jiefu Ou, Yangqiu Song. ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities. Artificial Intelligence. [PAPER] [CODE & DATA]
  • Xintong Yu, Hongming Zhang, Ruixing Hong, Yangqiu Song, and Changshui Zhang. CD-PCR: Improving Visual Dialog with Pronoun Coreference Resolution. Pattern Recognition (PR). 2022. [PAPER] [CODE]
  • Ruixin Hong, Hongming Zhang, Xintong Yu, and Changshui Zhang. Learning Event Extraction From a Few Guideline Examples. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP). 2022. [PAPER] [CODE]

Conference Publications

2024

  • Nan Xu, Hongming Zhang, and Jianshu Chen. CEO: Corpus-based Open-Domain Event Ontology Induction. Findings of EACL 2024.
  • Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, Muhao Chen. On-the-fly Denoising for Data Augmentation in Natural Language Understanding. Findings of EACL 2024.
  • Haoyu Wang, Hongming Zhang, Kaiqiang Song, Dong Yu, Dan Roth. Event Semantic Classification in Context. Findings of EACL 2024.

2023

  • Haoyu Wang, Hongming Zhang, Yueguan Wang, Yuqian Deng, Muhao Chen, Dan Roth. Are All Steps Equally Important? Benchmarking Essentiality Detection of Events. EMNLP 2023.
  • Hongwei Wang, Hongming Zhang, and Dong Yu. On the Dimensionality of Sentence Embeddings. Findings of EMNLP 2023.
  • Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, and Jianshu Chen. PIVOINE: Instruction Tuning for Open-world Information Extraction. Findings of EMNLP 2023.
  • Jiayang Cheng, Lin Qiu, Tsz Ho CHAN, Tianqing Fang, Weiqi Wang, Chunkit Chan, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, Zheng Zhang. STORYANALOGY: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding. EMNLP 2023.
  • James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu. Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations. EMNLP 2023. (Outstanding Paper)
  • Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, and Jianshu Chen. Thrust: Adaptively Propels Large Language Models with External Knowledge. Neurips 2023.
  • Xiang Li, Jiangwei Yu, Xinran Zhao, Hongming Zhang, and Yu-Xiong Wang. Video State-changing Object Segmentation. ICCV 2023.
  • Ruixin Hong, Hongming Zhang, Hong Zhao, Dong Yu and Changshui Zhang. Faithful Question Answering with Monte-Carlo Planning. ACL 2023.
  • Zhaowei Wang, Quyet V. Do, Hongming Zhang, Jiayao Zhang, Weiqi Wang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong and Simon See. COLA: Contextualized Commonsense Causality Reasoning from the Causal Inference Perspective. ACL 2023.
  • Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, and Jianshu Chen. Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models. ICLR 2023. [PAPER]
  • Haoyu Wang, Hongming Zhang, Yuqian Deng, Jacob R Gardner, Muhao Chen, and Dan Roth. Extracting or guessing? improving faithfulness of event temporal relation extraction. EACL 2023. [PAPER]
  • Wenlin Yao, Lifeng Jin, Hongming Zhang, Xiaoman Pan, Kaiqiang Song, Dian Yu, Dong Yu, and Jianshu Chen How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method. Findings of EACL 2023.
  • Hongming Zhang, Yintong Huo, Yanai Elazar, Yangqiu Song, Yoav Goldberg, and Dan Roth. CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm. Findings of EACL 2023. [PAPER] [CODE & DATA]
  • Zizheng Lin, Hongming Zhang, and Yangqiu Song. Global Constraints with Prompting for Zero-Shot Event Argument Classification. Findings of EACL 2023.

2022

  • Yinya Huang, Hongming Zhang, Ruixin Hong, Xiaodan Liang, Changshui Zhang, and Dong Yu MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022. [PAPER] [DATA & CODE]
  • Zhaowei Wang, Hongming Zhang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, and Simon See. SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022. [PAPER] [CODE]
  • Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, and Dong Yu. Salience Allocation as Guidance for Abstractive Summarization. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022. [PAPER] [CODE]
  • Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, and Jianshu Chen. Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022. [PAPER] [CODE]
  • Hongming Zhang, Wenlin Yao, and Dong Yu. Efficient Zero-shot Event Extraction with Context-Definition Alignment. Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022. [PAPER] [CODE]
  • Tianqing Fang, Quyet V. Do, Hongming Zhang, Yangqiu Song, Ginny Y. Wong, and Simon See. PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population. Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022. [PAPER] [CODE]
  • Ying Su, Zihao Wang, Tianqing Fang, Hongming Zhang, Yangqiu Song, and Tong Zhang MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation. Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022. [PAPER] [CODE]
  • Ying Su, Hongming Zhang, Yangqiu Song, and Tong Zhang. Multilingual Word Sense Disambiguation with Unified Sense Representation. International Conference on Computational Linguistics (COLING). 2022. [PAPER] [CODE]
  • Jiayao Zhang, Hongming Zhang, Weijie Su, and Dan Roth. Causal Inference Principles for Reasoning about Commonsense Causality. International Conference of Machine Learning (ICML). 2022. [PAPER] [CODE]
  • Hantian Ding, Jinrui Yang, Yuqian Deng, Hongming Zhang, and Dan Roth. Towards Open-Domain Topic Classification. NAACL 2022 Demo Track. [PAPER] [CODE]
  • Ruixin Hong, Hongming Zhang, Xintong Yu, and Changshui Zhang. METGEN: A Module-based Entailment Tree Generation Framework for Answer Explanation. Findings of NAACL 2022. [PAPER] [CODE]
  • Jiaxin Bai, Zihao Wang, Hongming Zhang, and Yangqiu Song. Query2Particles: Knowledge Graph Reasoning with Particle Embeddings. Findings of NAACL 2022. [PAPER] [CODE]
  • Xinran Zhao, Hongming Zhang, and Yangqiu Song. PCR4ALL: A Comprehensive Evaluation Benchmark for Pronoun Coreference Resolution in English. Language Resources and Evaluation (LREC). 2022. [PAPER] [CODE & DATA]
  • Changlong Yu*, Hongming Zhang*, Yangqiu Song, and Wilfred Ng. CoCoLM: COmplex COmmonsense Enhanced Language Model. Annual Meeting of the Association for Computational Linguistics (ACL) Findings. 2022. [PAPER] [CODE & DATA]
  • Ying Su, Hongming Zhang, Yangqiu Song, and Tong Zhang. Rare and Zero-shot Word Sense Disambiguation using Z-Reweighting. Annual Meeting of the Association for Computational Linguistics (ACL). 2021. [PAPER] [CODE]
  • Yintong Huo, Yuxin Su, Hongming Zhang, and Michael Lyu. ARCLIN: Automated API Mention Resolution for Unformatted Texts. the IEEE/ACM International Conference on Software Engineering (ICSE). 2022. [PAPER]

2021

  • Haoyu Wang, Hongming Zhang, Muhao Chen and Dan Roth. Learning Constraints and Descriptive Segmentation for Subevent Detection. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2021. [PAPER] [CODE & DATA]
  • Yanai Elazar, Hongming Zhang, Yoav Goldberg and Dan Roth . Back to Square One: Bias Detection, Training and Commonsense Disentanglement in the Winograd Schema. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2021. [PAPER] [CODE & DATA]
  • Xintong Yu, Hongming Zhang, Yangqiu Song, Changshui Zhang, Kun Xu and Dong Yu . Exophoric Pronoun Resolution in Dialogues with Topic Regularization. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2021. [PAPER] [CODE & DATA]
  • Tianqing Fang, Weiqi Wang, Sehyun Choi, Shibo Hao, Hongming Zhang, Yangqiu Song and Bin He . Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2021. [PAPER] [CODE & DATA]
  • Tianqing Fang, Haojie Pan, Hongming Zhang, Yangqiu Song, Kun Xu, Dong Yu. Do Boat and Ocean Suggest Beach? Dialogue Summarization with External Knowledge. Conference on Automated Knowledge Base Construction (AKBC). 2021. [PAPER] [CODE & DATA]
  • Hongming Zhang, Haoyu Wang, and Dan Roth. Zero-shot Label-Aware Event Trigger and Argument Classification. Annual Meeting of the Association for Computational Linguistics (ACL) Findings. 2021. [PAPER] [CODE & DATA]
  • Qing Lyu, Hongming Zhang, Elior Sulem, and Dan Roth. Zero-shot Event Extraction via Transfer Learning: Challenges and Insights. Annual Meeting of the Association for Computational Linguistics (ACL). 2021. (Short Paper) [PAPER] [CODE & DATA]
  • Xinran Zhao, Esin Durmus, Hongming Zhang, and Claire Cardie. Leveraging Topic Relatedness for Argument Persuasion. Annual Meeting of the Association for Computational Linguistics (ACL) Findings. 2021. (Short Paper)
  • Hongming Zhang, Yintong Huo, Xinran Zhao, Yangqiu Song, and Dan Roth. Learning Contextual Causality from Time-consecutive Images. Causality in Vision workshop at CVPR 2021. [PAPER] [CODE & DATA]
  • Tianqing Fang, Hongming Zhang, Weiqi Wang, Yangqiu Song, and Bin He. DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge. The Web Conference (WWW). 2021. [PAPER] [CODE & DATA]
  • Jiaxin Bai, Hongming Zhang, Yangqiu Song, and Kun Xu. Joint Coreference Resolution and Character Linking for Multiparty Conversation. The European Chapter of the Association for Computational Linguistics (EACL). 2021. [PAPER] [CODE & DATA]

2020

  • Muhao Chen, Hongming Zhang, Haoyu Wang, and Dan Roth. What Are You Trying to Do? Semantic Typing of Event Processes. The SIGNLL Conference on Computational Natural Language Learning (CoNLL). 2020. [PAPER] [CODE & DATA] (Best Paper Nomination)
  • Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, and Dan Roth. Analogous Process Structure Induction for Sub-event Sequence Prediction. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020. [PAPER] [CODE & DATA] [PPT]
  • Haoyu Wang, Muhao Chen, Hongming Zhang, and Dan Roth. Joint Constrained Learning for Event-Event Relation Extraction. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020. [PAPER] [CODE]
  • Changlong Yu, Jialong Han, Peifeng Wang, Yangqiu Song, Hongming Zhang, Wilfred Ng, and Shuming Shi. When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020. [PAPER] [CODE]
  • Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng, and Lifeng Shang. Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations. Conference on Automated Knowledge Base Construction (AKBC). 2020. [PAPER] [CODE & DATA] [PPT]
  • Hongming Zhang, Daniel Khashabi, Yangqiu Song, and Dan Roth. TransOMCS: From Linguistic Graphs to Commonsense Knowledge. International Joint Conference on Artificial Intelligence (IJCAI). 2020. [PAPER] [CODE & DATA] [PPT]
  • Hongming Zhang*, Xinran Zhao*, and Yangqiu Song. WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge. Annual Meeting of the Association for Computational Linguistics (ACL). 2020. [PAPER] [CODE & DATA] [PPT]
  • Hongming Zhang*, Xin Liu*, Haojie Pan*, Yangqiu Song, and Cane Wing-Ki Leung. ASER: A Large-scale Eventuality Knowledge Graph. The Web Conference (WWW). 2020. [PAPER] [CODE & DATA] [PPT]

2019

  • Hongming Zhang*, Jiaxin Bai*, Yan Song, Kun Xu, Changlong Yu, Yangqiu Song, Wilfred Ng, and Dong Yu. Multiplex Word Embeddings for Selectional Preference Acquisition. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2019. [PAPER] [CODE]
  • Xintong Yu*, Hongming Zhang*, Yangqiu Song, Yan Song, and Changshui Zhang. What You See is What You Get: Visual Pronoun Coreference Resolution in Conversations. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2019. [PAPER] [CODE]
  • Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, and Dit-Yan Yeung. Multilingual and Multi-aspect Hate Speech Analysis. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2019. [PAPER] [CODE]
  • Hongming Zhang, Hantian Ding, and Yangqiu Song. SP-10K: A Large-Scale Evaluation Set for Selectional Preference Acquisition. Annual Meeting of the Association for Computational Linguistics (ACL). 2019. [PAPER] [CODE & DATA]
  • Hongming Zhang, Yan Song, Yangqiu Song, and Dong Yu. Knowledge-aware Pronoun Coreference Resolution. Annual Meeting of the Association for Computational Linguistics (ACL). 2019. [PAPER] [CODE] [PPT]
  • Hongming Zhang, Yan Song, and Yangqiu Song. Incorporating Context and External Knowledge for Pronoun Coreference Resolution. North American Chapter of the Association for Computational Linguistics (NAACL-HLT). 2019. [PAPER] [CODE] [PPT]

2018

  • Hongming Zhang, Liwei Qiu, Lingling Yi, and Yangqiu Song. Scalable Multiplex Network Embedding. International Joint Conference on Artificial Intelligence (IJCAI). 2018. [PAPER] [CODE] [PPT]

Ph.D. Thesis

Hongming Zhang. Towards Commonsense Reasoning with Higher-order Selectional Preference over Eventualities [PAPER]

Selected Awards

  • EMNLP 2023 Outstanding Paper (Dec 2023)
  • HKUST Engineering PhD Research Excellence Finalist Award. HKUST (Feb 2022)
  • SENG Academic Award for Continuing PhD students, HKUST (Sep 2020)
  • Microsoft Research Asia Fellowship, Microsoft (Nov 2019)
  • Tencent Rhino-Bird Scholarship, Tencent (Oct 2019)
  • Hong Kong Ph.D. Fellowship, Hong Kong Government (2018-Present)
  • Rhino-Bird Program, Tencent (Oct 2018)
  • Excellent Research Award, HKUST (Sep 2018)
  • Academic Achievement Medal, HKUST (Jun 2016)
  • Dean’s List, HKUST (2012-2015)
  • Academic Excellence Award, HKUST (Apr 2014)

Academic Service

  • Journal Editorial Board: Semantic Web Journal special edition on Commonsense Knowledge and Reasoning; Frontiers in Big Data.
  • Journal Reviewer: Applied Network Science; Computer Science and Language; IEEE Transactions on Neural Networks and Learning Systems; NeuralComputing.
  • Senior PC: AAAI'23, IJCAI'21.
  • Area Chair: AACL'23. PC: ACL'21-23; EMNLP'21-22; CVPR 22-23; NAACL'21-22; IJCAI'22-23; AAAI'21-22; COLING'20; AACL'20; CIKM'19; AKBC'21; NLPCC'19,21.
  • Conference External Reviewer: ACL'18-19; AAAI'19; KDD'18; NIPS'18; ICDM'18; CIKM'18.
  • Others: IJCAI 2019 WebMaster.

Teaching Experience

  • COMP4331: Data Mining. (Fall 2019)
  • COMP4332/RMBI4310: Big Data Mining. (Spring 2019)
  • COMP1022Q: Introduction to Computing with Excel VBA (Fall/Spring 2018)