Simple Life

Xiachong Feng (冯夏冲)

Natural language processing, Summarization, AI+Neuroscience

Ph.D. Student, Harbin Institute of Technology2018.9 - Present
Major: Computer Science, Supervisors: Prof. Bing Qin and A.P Xiaocheng Feng

Remote Intern, WING, National University of Singapore2020.8 - Present
Supervisor: A.P Min-Yen Kan

B.E., Harbin Institute of Technology, WEIHAI2014.9 - 2018.6
Major: Software Engineering

Recent Advances in Large Language Models, at Interactive Data Exploration System (IDEAS) lab, Shandong University. 2023.5
Dialogue Summarization, at the Alibaba DAMO Academy, Language Technology Lab, Conversational AI. 2022.1
Dialogue Summarization, at the Natural Language Processing Lab at Tsinghua University: THUNLP. 2021.6

Summarization Xiachong Feng, Xiaocheng Feng, Bing Qin. The Role of Summarization in Generative Agents: A Preliminary Perspective . arXiv Preprint 2023.

Brain-to-Text Xiachong Feng, Xiaocheng Feng, Bing Qin. Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning. arXiv Preprint 2023.

Summarization Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin. Hierarchical Catalogue Generation for Literature Review: A Benchmark. arXiv Preprint 2023.

Summarization Yichong Huang, Xiachong Feng, Xiaocheng Feng, Bing Qin. The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey. arXiv Preprint 2021. [Chinese Blog]

Summarization Xiachong Feng, Xiaocheng Feng, Bing Qin. A Survey on Dialogue Summarization: Recent Advances and New Frontiers. In Proceeding of The 31th International Joint Conference on Artificial Intelligence (IJCAI 2022). [Chinese Blog] [Google Doc]

Summarization Xiachong Feng, Xiaocheng Feng, Bing Qin. MSAMSum: Towards Benchmarking Multi-lingual Dialogue Summarization. In The 2nd DialDoc workshop on Document-grounded Dialogue and Conversational Question Answering (ACL 2022 DialDoc Workshop). [Data] [Poster] [Slides]

Summarization Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu. Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. In The 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021). [Code] [Poster] [Slides] [Chinese Blog]

Summarization Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng. Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization. In Proceeding of The 30th International Joint Conference on Artificial Intelligence (IJCAI 2021). [arXiv] [Code] [Poster] [Slides] [Chinese Blog]

Summarization Xiachong Feng, Xiaocheng Feng, Bing Qin. Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks. In The 20th China National Conference on Computational Linguistics (CCL 2021, 🏆 Best Paper Award). [Code] [Slides] [Chinese Blog]

Information Extraction Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu. Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer. In Proceeding of The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018). [Code] [Chinese Blog]


TA, NUS Natural Language Processing: Foundations Sept.2022-June.2023

Conference Reviewer: NeurIPS 2023, ACL Rolling Review, ACL 2023; EMNLP 2021; NLPCC 2021; CCL 2021;

ICASSP 2023 General Meeting Understanding and Generation Challenge
  • 🏅 Track5: Action Item Detection (AID) Rank 1st. [Report]
  • 🥈 Track2: Topic-level and Session-level Extractive Summarization Rank 2nd.

Tencent Scholarship 2022.
National Scholarship 2021.
China Scholarship Council (CSC) Scholarship 2019.
Outstanding Graduate Award at Provincial Level 2018.
Outstanding Student Cadres at Provincial Level 2017.
National Scholarship 2017.
National Scholarship 2016.

[New] Evidence of a predictive coding hierarchy in the human brain listening to speech
[New] BrainBERT: Self-supervised representation learning for Intracranial Electrodes
switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder
Memorizing Transformers
One Model, Multiple Tasks: Pathways for Natural Language Understanding
CPT Colorful Prompt Tuning for Pre-trained Vision-Language Models
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
Making Pre-trained Language Models Better Few-shot Learners
Group-wise Contrastive Learning for Neural Dialogue Generation
Heterogeneous Graph Transformer
Plug and Play Language Model- A Simple Baseline for Controlled Language Generation
Multimodal Abstractive Summarization for How2 Videos
A Simple Theoretical Model of Importance for Summarization
Text Generation from Knowledge Graphs with Graph Transformers
The Curious Case of Neural Text Degeneration
Episodic Memory in Lifelong Language Learning
DialogueGCN-A Graph Convolutional Neural Network for Emotion Recognition in Conversation
Commonsense for Generative Multi-Hop Question Answering Tasks
Commonsense Knowledge Aware Conversation Generation with Graph Attention
Deep Multitask Learning for Semantic Dependency Parsing
Dynamically Fused Graph Network for Multi-hop Reasoning
Emotional Chatting Machine Emotional Conversation Generation with Internal and External Memory
Learning Neural Templates for Text Generation
Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders
Linguistic Knowledge and Transferability of Contextual Representations
Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination
Semi-Supervised QA with Generative Domain-Adaptive Nets