About me

I am currently a second-year master student (2022 - present) at Department of Computer Science and Engineering at Shanghai Jiao Tong University (SJTU), under the supervision of Prof. Rui Wang. Before that, I received my bachelor degree in Computer Science and Engineering from Shanghai Jiao Tong University (SJTU) in 2022.

I interned at Microsoft Research Asia (2023 with Dr. Shujie Liu and Long Zhou) and Tencent AI Lab (2021-2023 with Dr. Lemao Liu). Now I am a machine learning engineer intern at ByteDance, working on multimodal large language models.

🔬 Research Interest

Large Language Model: Multimodal Large Language Models, Speech Large Language Model, Video Understanding Large Language Model, etc.

Natural Language Processing: Neural Machine Translation, Open-Ended Text Generation, etc.

2024.05: 🎉🎉 Adaptive Decoding is accepted by ICML 2024.
2024.03: 🎉🎉 One paper about evaluating large language models (CLEAN-EVAL) is accepted by NAACL 2024 Findings.
2024.03: 🎉🎉 Q-Refine is accepted by ICME 2024.
2023.01: I join ByteDance as a machine learning engineer intern.
2023.10: 🎉🎉 Penalty Decoding is accepted by EMNLP 2023.
2023.05: 🎉🎉 One paper about translation memory augmented NMT is accepted by ACL 2023 Findings.
2023.04: I join Microsoft Research Asia (MSRA), Natural Language Computing group as a research intern.
2022.06: I graduate from Shanghai Jiao Tong University and receive the Bachelor of Engineering in Computer Science and Engineering (with honor of Shanghai Jiao Tong University Outstanding Graduates).
2021.12: I join Tencent AI Lab, Natural Language Processing center as a research intern.

* denotes co-first authors

Rethinking Translation Memory Augmented Neural Machine Translation

Hongkun Hao, Guoping Huang, Lemao Liu, Zhirui Zhang, Shuming Shi, Rui Wang

ACL 2023 Findings |
Penalty Decoding: Well Suppress the Self-Reinforcement Effect in Open-Ended Text Generation

Wenhong Zhu, Hongkun Hao, Rui Wang

EMNLP 2023 |
Q-Refine: A Perceptual Quality Refiner for AI-Generated Image

Chunyi Li, Haoning Wu, Zicheng Zhang, Hongkun Hao, Kaiwei Zhang, Lei Bai, Xiaohong Liu, Xiongkuo Min, Weisi Lin, Guangtao Zhai

ICME 2024 |
CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models

Wenhong Zhu, Hongkun Hao, Zhiwei He, Yunze Song, Yumeng Zhang, Hanxu Hu, Yiran Wei, Rui Wang, Hongyuan Lu

NAACL 2024 Findings |
Improving Open-Ended Text Generation via Adaptive Decoding

Wenhong Zhu, Hongkun Hao, Zhiwei He, Yiming Ai, Rui Wang

ICML 2024 |

* denotes co-first authors

Boosting Large Language Model for Speech Synthesis: An Empirical Study

Hongkun Hao, Long Zhou, Shujie Liu, Jinyu Li, Shujie Hu, Rui Wang, Furu Wei
Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models

Zhiwei He*, Binglin Zhou*, Hongkun Hao, Aiwei Liu, Xing Wang, Zhaopeng Tu, Zhuosheng Zhang, Rui Wang
Is Cognition and Action Consistent or Not: Investigating Large Language Model’s Personality

Yiming Ai, Zhiwei He, Ziyin Zhang, Wenhong Zhu, Hongkun Hao, Kai Yu, Lingjun Chen, Rui Wang
WavLLM: Towards Robust and Adaptive Speech Large Language Model

Shujie Hu, Long Zhou, Shujie Liu, Sanyuan Chen, Hongkun Hao, Jing Pan, Xunying Liu, Jinyu Li, Sunit Sivasankaran, Linquan Liu, Furu Wei
G-Refine: A General Quality Refiner for Text-to-Image Generation

Chunyi Li, Haoning Wu, Hongkun Hao, Zicheng Zhang, Tengchaun Kou, Chaofeng Chen, Lei Bai, Xiaohong Liu, Weisi Lin, Guangtao Zhai

2022.09 - 2025.03 (expected), Master of Science in Computer Science and Engineering, Shanghai Jiao Tong University.
2018.09 - 2022.06, Bachelor of Engineering in Computer Science and Engineering, Shanghai Jiao Tong University.

Reviewer: ACL Rolling Review (2024), ICME (2024), EMNLP (2023), NLPCC (2022, 2023), CCL (2022, 2023)
Teaching Assistant: Internet-based Information Extraction Technologies (CS 3307 at SJTU, Fall 2022)

2023.06: Rethinking Translation Memory Augmented Neural Machine Translation, AIS | [slide]