Haijin Liang

According to our database, Haijin Liang authored at least 19 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Omni IIE Bench: Benchmarking the Practical Capabilities of Image Editing Models.

Yujia Yang, Yuanxiang Wang, Zhenyu Guan, Tiankun Yang, Chenxi Bao, Haopeng Jin, Jinwen Luo, Xinyu Zuo, Lisheng Duan, Haijin Liang, Jin Ma, Xinming Wang, Ruiwen Tao, Hongzhu Yi

CoRR, March, 2026

Beyond Closed-Pool Video Retrieval: A Benchmark and Agent Framework for Real-World Video Search and Moment Localization.

Tao Yu, Yujia Yang, Haopeng Jin, Junhao Gong, Xinlong Chen, Yuxuan Zhou, Shanbin Zhang, Jiabing Yang, Xinming Wang, Hongzhu Yi, Ping Nie, Kai Zou, Zhang Zhang, Yan Huang, Liang Wang, Yeshani, Ruiwen Tao, Jin Ma, Haijin Liang, Jinwen Luo

CoRR, February, 2026

VDE Bench: Evaluating The Capability of Image Editing Models to Modify Visual Documents.

Hongzhu Yi, Yujia Yang, Yuanxiang Wang, Zhenyu Guan, Jiahuan Chen, Chenxi Bao, Tiankun Yang, Yixuan Yuan, Tianyu Zong, Xinming Wang, Tao Yu, Ruiwen Tao, Haijin Liang, Jin Ma, Jinwen Luo, Xinyu Zuo, Jungang Xu

CoRR, February, 2026

Rank4Gen: RAG-Preference-Aligned Document Set Selection and Ranking.

Yongqi Fan, Yuxiang Chu, Zhentao Xia, Xiaoyang Chen, Jie Liu, Haijin Liang, Jin Ma, Ben He, Yingfei Sun, Dezhi Ye, Tong Ruan

CoRR, January, 2026

TFRank: Think-Free Reasoning Enables Practical Pointwise LLM Ranking.

Yongqi Fan, Xiaoyang Chen, Dezhi Ye, Jie Liu, Haijin Liang, Jin Ma, Ben He, Yingfei Sun, Tong Ruan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

FastMTP: Accelerating LLM Inference with Enhanced Multi-Token Prediction.

Yuxuan Cai, Xiaozhuan Liang, Xinghua Wang, Jin Ma, Haijin Liang, Jinwen Luo, Xinyu Zuo, Lisheng Duan, Yuyang Yin, Xi Chen

CoRR, September, 2025

QSpell 250K: A Large-Scale, Practical Dataset for Chinese Search Query Spell Correction.

Dezhi Ye, Haomei Jia, Junwei Hu, Bowen Tian, Jie Liu, Haijin Liang, Jin Ma, Wenmin Wang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Applying Large Language Model For Relevance Search In Tencent.

Dezhi Ye, Jie Liu, Junwei Hu, Jiabin Fan, Bowen Tian, Haijin Liang, Jin Ma

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Best Practices for Distilling Large Language Models into BERT for Web Search Ranking.

Dezhi Ye, Junwei Hu, Jiabin Fan, Bowen Tian, Jie Liu, Haijin Liang, Jin Ma

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Can LLMs Really Help Query Understanding In Web Search? A Practical Perspective.

Dezhi Ye, Ye Qin, Bowen Tian, Jiabin Fan, Jie Liu, Haijin Liang, Jin Ma

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Span Confusion is All You Need for Chinese Spelling Correction.

Dezhi Ye, Haomei Jia, Bowen Tian, Jie Liu, Haijin Liang, Jin Ma, Wenmin Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Topic Tracking from Classification Perspective: New Chinese Dataset and Novel Temporal Correlation Enhanced Model.

Jin Ma, Xinming Zhang, Yuxun Fang, Xinyu Zuo, Haijin Liang

Proceedings of the Natural Language Processing and Chinese Computing, 2023

2022

ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding.

Bingning Wang, Feiyang Lv, Ting Yao, Yiming Yuan, Jin Ma, Yu Luo, Haijin Liang

CoRR, 2022

Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models.

Han Liu, Bingning Wang, Ting Yao, Haijin Liang, Jianjin Xu, Xiaolin Hu

CoRR, 2022

Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing.

Xinyu Zuo, Haijin Liang, Ning Jing, Shuang Zeng, Zhou Fang, Yu Luo

Proceedings of the 29th International Conference on Computational Linguistics, 2022

ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding.

Bingning Wang, Feiyang Lv, Ting Yao, Jin Ma, Yu Luo, Haijin Liang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps.

Xiaomin Fang, Jizhou Huang, Fan Wang, Lingke Zeng, Haijin Liang, Haifeng Wang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

DuIE: A Large-Scale Chinese Dataset for Information Extraction.

Shuangjie Li, Wei He, Yabing Shi, Wenbin Jiang, Haijin Liang, Ye Jiang, Yang Zhang, Yajuan Lyu, Yong Zhu

Proceedings of the Natural Language Processing and Chinese Computing, 2019

2009

A Normal-Traffic Network Covert Channel.

Liping Ji, Haijin Liang, Yitao Song, Xiamu Niu

Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009