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ORCIDLiang Dou 0001
Person information
- affiliation: East China Normal University, School of Computer Science and Technology, Shanghai, China
Other persons with the same name
- Liang Dou — disambiguation page
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2020 – today
- 2026
[c22]Dongliang Chen, Xinlin Zhuang, Junjie Xu, Luojian Xie, Zehui Wang, Jiaxi Zhuang, Haolin Yang, Liang Dou, Xiao He, Xingjiao Wu, Ying Qian:
APEX: Learning Adaptive Priorities for Multi-Objective Alignment in Vision-Language Generation. ACL (Findings) 2026: 4922-4939- [c21]Ziwei Wang, Jie Zhou, Qin Chen, Bo Jiang, Qingchun Bai, Liang Dou, Liang He:
LLM-KT: Enhancing Large Language Models with Knowledge Tracing via Multi-Level Plug-and-Play Alignment. ACL (Findings) 2026: 35775-35792 - [i9]Dongliang Chen, Xinlin Zhuang, Junjie Xu, Luojian Xie, Zehui Wang, Jiaxi Zhuang, Haolin Yang, Liang Dou, Xiao He, Xingjiao Wu, Ying Qian:
APEX: Learning Adaptive Priorities for Multi-Objective Alignment in Vision-Language Generation. CoRR abs/2601.06574 (2026) - [i8]Shihao Zhang, Ziwei Wang, Jie Zhou, Yulan Wu, Qin Chen, Zhikai Lei, Liyang Yu, Liang Dou, Liang He:
From Prediction to Justification: Aligning Sentiment Reasoning with Human Rationale via Reinforcement Learning. CoRR abs/2604.13398 (2026) - [i7]Hong Qian, Xiang Shu, Xiang Xia, Xuhui Liu, Yangde Fu, Bei Liang, Huibin Wang, Liang Dou:
Automated Random Embedding for Practical Bayesian Optimization with Unknown Effective Dimension. CoRR abs/2605.23473 (2026) - [i6]Hong Qian, Yuanhao Liu, Zihan Zhou, Zongbao Zhang, Hanjie Ge, Haotian Shi, Liang Dou, Xiangfeng Wang, Jingwen Yang, Aimin Zhou:
CollabBench: Benchmarking and Unleashing Collaborative Ability of LLMs with Diverse Players via Proactive Engagement. CoRR abs/2606.05793 (2026) - [i5]Yiyi Zhu, Yaolin Wen, Xiang Xia, Xin An, Hanyi Si, Xiang Shu, Yangde Fu, Liang Dou, Hong Qian:
Diversity-Driven Offline Multi-Objective Optimization via Nested Pareto Set Learning. CoRR abs/2606.15115 (2026) - [i4]Jiacheng Wang, Xinjia He, Qi Ding, Yutao Yang, Jie Zhou, Liyang Yu, Liang Dou, Qin Chen:
Task-Differentiated Atomic Skill Expansion and Routing for Continual Learning Across Highly Heterogeneous Tasks. CoRR abs/2606.21307 (2026) - 2025
- [c20]Jiaxi Zhuang, Yu Zhang, Liang Dou, Aimin Zhou, Ying Qian:
Copy-Augmented Representation for Structure Invariant Template-Free Retrosynthesis. BIBM 2025: 5115-5122 - 2024
- [c19]Xuanwen Ding
, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Arlene Chen, Liang He:
Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis. EMNLP (Findings) 2024: 4367-4377 - [c18]Xuanwen Ding, Qingshun Wang, Dan Liu, Lihua Xu, Jun Xiao, Bojun Zhang, Xue Li, Liang Dou, Liang He, Tao Xie:
FinHunter: Improved Search-Based Test Generation for Structural Testing of FinTech Systems. SIGSOFT FSE Companion 2024: 10-20 - [i3]Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Chengcai Chen, Liang He:
Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis. CoRR abs/2405.05496 (2024) - 2023
- [j3]Liang Dou, Zhen Zhang, Dan Liu, Ying Qian, Qian Zhang:
BCM-DTI: A fragment-oriented method for drug-target interaction prediction using deep learning. Comput. Biol. Chem. 104: 107844 (2023) - [c17]Guang Yang, Tiancheng Jin, Liang Dou:
Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification. SEKE 2023: 274-279 - [i2]Guang Yang, Tiancheng Jin, Liang Dou:
Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification. CoRR abs/2305.04228 (2023) - 2022
- [c16]Zhenjie Shao, Ying Qian, Liang Dou:
TBPM-DDIE: Transformer Based Pretrained Method for predicting Drug-Drug Interactions Events. COMPSAC 2022: 229-234 - [c15]Yuan Zeng, Tiancheng Jin, Liang Dou:
Difficulty-aware Convolutional Knowledge Tracing for Student Performance Prediction. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1232-1238 - 2021
- [c14]Xinyi Li, Yiyuan Wang, Ying Qian, Liang Dou:
Use Machine Learning to Predict the Running Time of the Program. CSAI 2021: 260-266 - [c13]Fengyun Hao, Liang Dou, Jian Jin:
Mixture Density Networks for Tropical Cyclone Tracks Prediction in South China Sea. IJCNN 2021: 1-8 - [c12]Qingshun Wang, Lihua Xu, Jun Xiao, Qi Guo, Haotian Zhang, Liang Dou, Liang He, Tao Xie:
FinFuzzer: One Step Further in Fuzzing Fintech Systems. ASE 2021: 1111-1115 - 2020
- [c11]Jian Liu, Xusheng Xiao, Lihua Xu, Liang Dou, Andy Podgurski:
DroidMutator: an effective mutation analysis tool for Android applications. ICSE (Companion Volume) 2020: 77-80
2010 – 2019
- 2019
- [c10]Wei Hao, Hanglong Zhan, Xiaojing Bao, Yanmin Lu, Yue Zhou, Liang Dou, Jian Jin:
Bond transaction link prediction based on dynamic network embedding and time series analysis. ICSAI 2019: 1471-1477 - [c9]Chongbin Tang, Sen Chen, Lingling Fan, Lihua Xu, Yang Liu, Zhushou Tang, Liang Dou:
A large-scale empirical study on industrial fake apps. ICSE (SEIP) 2019: 183-192 - [c8]Yang Song, Wenxin Hu, Liang He, Liang Dou:
Enhancing the Healthcare Retrieval with a Self-adaptive Saturated Density Function. PAKDD (1) 2019: 501-513 - [c7]Tiancheng Jin, Qingshun Wang, Lihua Xu, Chunmei Pan, Liang Dou, Haifeng Qian, Liang He, Tao Xie:
FinExpert: domain-specific test generation for FinTech systems. ESEC/SIGSOFT FSE 2019: 853-862 - [i1]Chongbin Tang, Sen Chen, Lingling Fan, Lihua Xu, Yang Liu, Zhushou Tang, Liang Dou:
A Large-Scale Empirical Study on Industrial Fake Apps. CoRR abs/1902.00647 (2019) - 2018
- [c6]Hanwu Luo, Wenzhen Li, Ying Qian, Liang Dou:
Mitigating SDN Flow Table Overflow. COMPSAC (1) 2018: 821-822 - [c5]Yi Chen, Aimin Zhou, Liang Dou:
An evolutionary algorithm with a new operator and an adaptive strategy for large-scale portfolio problems. GECCO (Companion) 2018: 247-248 - [c4]Qingshun Wang, Lintao Gu, Minhui Xue, Lihua Xu, Wenyu Niu, Liang Dou, Liang He, Tao Xie:
FACTS: automated black-box testing of FinTech systems. ESEC/SIGSOFT FSE 2018: 839-844 - 2017
- [j2]Feng Sheng, Liang Dou, Zongyuan Yang:
Mechanized semantics and refinement of UML-Statecharts. Frontiers Inf. Technol. Electron. Eng. 18(11): 1773-1783 (2017) - 2015
- [c3]Lu Fang, Liang Dou, Guoqing Xu:
PerfBlower: Quickly Detecting Memory-Related Performance Problems via Amplification. ECOOP 2015: 296-320 - 2014
- [c2]Chao Li, Liang Dou, Zongyuan Yang:
A metamodeling level transformation from UML sequence diagrams to Coq. ICTCS 2014: 147-157 - 2013
- [j1]Liang Dou, Qiang Liu, Zongyuan Yang:
A metamodeling approach for pattern specification and management. J. Zhejiang Univ. Sci. C 14(10): 743-755 (2013) - 2012
- [c1]Liang Dou, Qiang Liu, Zongyuan Yang, Jinkui Xie:
A Situation Calculus-based semantic framework for UML. ICCIT 2012: 73-79
Coauthor Index
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