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2020 – today
- 2025
[c11]Dezhi Ye
, Ye Qin, Bowen Tian, Jiabin Fan, Jie Liu, Haijin Liang, Jin Ma:
Can LLMs Really Help Query Understanding In Web Search? A Practical Perspective. CIKM 2025: 5433-5438- [c10]Dezhi Ye, Junwei Hu, Jiabin Fan, Bowen Tian, Jie Liu, Haijin Liang, Jin Ma:
Best Practices for Distilling Large Language Models into BERT for Web Search Ranking. COLING (Industry) 2025: 128-135 - [c9]Dezhi Ye, Jie Liu, Junwei Hu, Jiabin Fan, Bowen Tian, Haijin Liang, Jin Ma:
Applying Large Language Model For Relevance Search In Tencent. KDD (2) 2025: 5171-5181 - [c8]Dezhi Ye, Haomei Jia, Junwei Hu, Bowen Tian, Jie Liu, Haijin Liang, Jin Ma, Wenmin Wang:
QSpell 250K: A Large-Scale, Practical Dataset for Chinese Search Query Spell Correction. NAACL (Industry Track) 2025: 148-155 - [i6]Yongqi Fan, Xiaoyang Chen, Dezhi Ye, Jie Liu, Haijin Liang, Jin Ma, Ben He, Yingfei Sun, Tong Ruan:
TFRank: Think-Free Reasoning Enables Practical Pointwise LLM Ranking. CoRR abs/2508.09539 (2025) - [i5]Yuxuan Cai, Xiaozhuan Liang, Xinghua Wang, Jin Ma, Haijin Liang, Jinwen Luo, Xinyu Zuo, Lisheng Duan, Yuyang Yin, Xi Chen:
FastMTP: Accelerating LLM Inference with Enhanced Multi-Token Prediction. CoRR abs/2509.18362 (2025) - 2024
- [c7]Dezhi Ye, Haomei Jia, Bowen Tian, Jie Liu, Haijin Liang, Jin Ma, Wenmin Wang:
Span Confusion is All You Need for Chinese Spelling Correction. CIKM 2024: 4208-4212 - [i4]Dezhi Ye, Junwei Hu, Jiabin Fan, Bowen Tian, Jie Liu, Haijin Liang, Jin Ma:
Best Practices for Distilling Large Language Models into BERT for Web Search Ranking. CoRR abs/2411.04539 (2024) - 2023
- [c6]Jin Ma, Xinming Zhang, Yuxun Fang, Xinyu Zuo, Haijin Liang:
Topic Tracking from Classification Perspective: New Chinese Dataset and Novel Temporal Correlation Enhanced Model. NLPCC (2) 2023: 85-97 - 2022
- [c5]Bingning Wang, Feiyang Lv, Ting Yao, Jin Ma, Yu Luo, Haijin Liang:
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding. CIKM 2022: 1996-2006 - [c4]Xinyu Zuo, Haijin Liang, Ning Jing, Shuang Zeng, Zhou Fang, Yu Luo:
Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing. COLING 2022: 2405-2417 - [i3]Han Liu, Bingning Wang, Ting Yao, Haijin Liang, Jianjin Xu, Xiaolin Hu:
Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models. CoRR abs/2206.05519 (2022) - [i2]Bingning Wang, Feiyang Lv, Ting Yao, Yiming Yuan, Jin Ma, Yu Luo, Haijin Liang:
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding. CoRR abs/2208.03030 (2022) - [i1]Xinyu Zuo, Haijin Liang, Ning Jing, Shuang Zeng, Zhou Fang, Yu Luo:
Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing. CoRR abs/2208.10081 (2022) - 2020
- [c3]Xiaomin Fang, Jizhou Huang, Fan Wang, Lingke Zeng, Haijin Liang, Haifeng Wang:
ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps. KDD 2020: 2697-2705
2010 – 2019
- 2019
- [c2]Shuangjie Li, Wei He, Yabing Shi, Wenbin Jiang, Haijin Liang, Ye Jiang, Yang Zhang, Yajuan Lyu, Yong Zhu:
DuIE: A Large-Scale Chinese Dataset for Information Extraction. NLPCC (2) 2019: 791-800
2000 – 2009
- 2009
- [c1]Liping Ji, Haijin Liang, Yitao Song, Xiamu Niu:
A Normal-Traffic Network Covert Channel. CIS (1) 2009: 499-503
Coauthor Index
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