| 2026 | AAAI | Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion. | Jiawei Sheng, Taoyu Su, Weiyi Yang, Linghui Wang, Yongxiu Xu, Tingwen Liu |
| 2026 | AAAI | Fashion Microscope: Pixel-Level Attribute Perception via Optimal Transport and Neural Semantic Aggregation. | Shuili Zhang, Hongzhang Mu, Jiawei Sheng, Qianqian Tong, Wenyuan Zhang, Quangang Li, Tingwen Liu |
| 2026 | ACL | Sparse Growing Transformer: Training-Time Sparse Depth Allocation via Progressive Attention Looping. | Yao Chen, Yilong Chen, Yinqi Yang, Junyuan Shang, Zhenyu Zhang, Zefeng Zhang, Shuaiyi Nie, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang, Tingwen Liu |
| 2026 | ACL | Polymorphic Universal Transformer. | Yilong Chen, Zitian Gao, Yihao Xiao, Jason Klein Liu, Xinyu Yang, Yifan Luo, Haoming Luo, Zhengmao Ye, Tingwen Liu, Ran Tao, Bryan Dai |
| 2026 | ACL | Uncertainty-Aware Routing for Principled Alignment with MoE Dynamics. | Yilong Chen, Junyuan Shang, Yuchen Feng, Zhenyu Zhang, Naibin Gu, Ziqi Wang, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang |
| 2026 | ACL | AttnPO: Attention-Guided Process Supervision for Efficient Reasoning. | Shuaiyi Nie, Siyu Ding, Wenyuan Zhang, Linhao Yu, Tianmeng Yang, Yao Chen, Weichong Yin, Yu Sun, Hua Wu, Tingwen Liu |
| 2026 | ACL | Detecting RAG Extraction Attack via Dual-Path Runtime Integrity Game. | Yuanbo Xie, Yingjie Zhang, Yulin Li, Shouyou Song, Xiaokun Chen, Zhihan Liu, Liya Su, Tingwen Liu |
| 2026 | ACL | HyperMem: Hypergraph Memory for Long-Term Conversations. | Juwei Yue, Chuanrui Hu, Jiawei Sheng, Zuyi Zhou, Wenyuan Zhang, Tingwen Liu, Li Guo, Yafeng Deng |
| 2026 | ACL | ExpSeek: Self-Triggered Experience Seeking for Web Agents. | Wenyuan Zhang, Xinghua Zhang, Haiyang Yu, Shuaiyi Nie, Bingli Wu, Juwei Yue, Tingwen Liu, Yongbin Li |
| 2026 | KDD | FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation. | Xiaodong Li, Ruochen Yang, Shuang Wen, Shen Wang, Yueyang Liu, Guoquan Wang, Weisong Hu, Qiang Luo, Jiawei Sheng, Tingwen Liu, Jiangxia Cao, Shuang Yang, Zhaojie Liu |
| 2026 | KDD | From Agnostic to Specific: Latent Preference Diffusion for Multi-Behavior Sequential Recommendation. | Ruochen Yang, Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Xinkui Lin, Shen Wang, Shuang Yang, Zhaojie Liu, Tingwen Liu |
| 2026 | WWW | S | Xiaodong Li, Juwei Yue, Xinghua Zhang, Jiawei Sheng, Wenyuan Zhang, Taoyu Su, Zefeng Zhang, Tingwen Liu |
| 2026 | WWW | Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion. | Jiawei Sheng, Taoyu Su, Xixun Lin, Xiaodong Li, Tingwen Liu |
| 2026 | WWW | Beyond Patches: Superpixel Token-based Transformers for Attribute-Specific Fashion Retrieval. | Shuili Zhang, Hongzhang Mu, Wenyuan Zhang, Duohe Ma, Tingwen Liu |
| 2025 | AAAI | Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation. | Shicheng Wang, Hengzhu Tang, Li Gao, Shu Guo, Suqi Cheng, Junfeng Wang, Dawei Yin, Tingwen Liu, Lihong Wang |
| 2025 | ACL | Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking. | Yilong Chen, Junyuan Shang, Zhenyu Zhang, Yanxi Xie, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang |
| 2025 | ACL | SOTOPIA-: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agents. | Wenyuan Zhang, Tianyun Liu, Mengxiao Song, Xiaodong Li, Tingwen Liu |
| 2025 | COLING | Relation Logical Reasoning and Relation-aware Entity Encoding for Temporal Knowledge Graph Reasoning. | Longzhou Liu, Chenglong Xiao, Shanshan Wang, Tingwen Liu |
| 2025 | CVPR | Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization. | Zefeng Zhang, Hengzhu Tang, Jiawei Sheng, Zhenyu Zhang, Yiming Ren, Zhenyang Li, Dawei Yin, Duohe Ma, Tingwen Liu |
| 2025 | EMNLP | Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information. | Yao Chen, Jiawei Sheng, Wenyuan Zhang, Tingwen Liu |
| 2025 | EMNLP | Beyond Surface Alignment: Rebuilding LLMs Safety Mechanism via Probabilistically Ablating Refusal Direction. | Yuanbo Xie, Yingjie Zhang, Tianyun Liu, Duohe Ma, Tingwen Liu |
| 2025 | EMNLP | Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing. | Wenyuan Zhang, Shuaiyi Nie, Jiawei Sheng, Zefeng Zhang, Xinghua Zhang, Yongquan He, Tingwen Liu |
| 2025 | ICASSP | Translational Generative Retrieval via Potential Query Generation. | Yihan Guo, Tingwen Liu, Jiawei Sheng, Duohe Ma, Ming Sun, Ling Tian |
| 2025 | ICASSP | Zero-Shot Cross-Domain Slot Filling with Retrieval Augmented In-Context Learning. | Mengxiao Song, Tingwen Liu, Quangang Li, Duohe Ma, Ming Sun, Ling Tian |
| 2025 | ICDE | Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users. | Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Xinghua Zhang, Wenyuan Zhang, Yong Sun, Shirui Pan, Zhihong Tian, Tingwen Liu |
| 2025 | ICML | Mixture of Hidden-Dimensions: Not All Hidden-States' Dimensions are Needed in Transformer. | Yilong Chen, Junyuan Shang, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang |
| 2025 | ICML | Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations. | Juwei Yue, Haikuo Li, Jiawei Sheng, Xiaodong Li, Taoyu Su, Tingwen Liu, Li Guo |
| 2025 | IJCNN | Language Models Understand Themselves Better: A Zero-Shot AI-Generated Text Detection Method via Reading and Writing. | Jinao Huang, Chuang Zhang, Tingwen Liu, Quangang Li, Taoyu Su, Chi Chen, Yulin Li |
| 2025 | IJCNN | Exploring Multi-aspect Information for Knowledge Graph Completion with Large Language Model. | Linghui Wang, Jiawei Sheng, Wenyuan Zhang, Tingwen Liu, Chuang Zhang |
| 2025 | KDD | Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. | Xiaodong Li, Hengzhu Tang, Jiawei Sheng, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu |
| 2025 | WWW | Graph Wave Networks. | Juwei Yue, Haikuo Li, Jiawei Sheng, Yihan Guo, Xinghua Zhang, Chuan Zhou, Tingwen Liu, Li Guo |
| 2025 | SIGIR | Dual-perspective Data Augmentation and Curriculum Learning Framework for Low-resource Complex Named Entity Recognition. | Mengxiao Song, Tianyun Liu, Wenyuan Zhang, Quangang Li, Tingwen Liu |
| 2025 | SIGIR | Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective. | Taoyu Su, Jiawei Sheng, Duohe Ma, Xiaodong Li, Juwei Yue, Mengxiao Song, Yingkai Tang, Tingwen Liu |
| 2024 | ACL | LEMON: Reviving Stronger and Smaller LMs from Larger LMs with Linear Parameter Fusion. | Yilong Chen, Junyuan Shang, Zhenyu Zhang, Shiyao Cui, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu |
| 2024 | ACL | NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time. | Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu |
| 2024 | ACL | Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking. | Zefeng Zhang, Jiawei Sheng, Chuang Zhang, Liangyunzhi Liangyunzhi, Wenyuan Zhang, Siqi Wang, Tingwen Liu |
| 2024 | CIKM | Empowering LLMs for Multi-Page Layout Generation via Consistency-Oriented In-Context Learning. | Mengyao Chen, Xinghua Zhang, Junhao Zhang, Quangang Li, Tingwen Liu |
| 2024 | CIKM | MSKR: Advancing Multi-modal Structured Knowledge Representation with Synergistic Hard Negative Samples. | Shuili Zhang, Hongzhang Mu, Tingwen Liu, Qianqian Tong, Jiawei Sheng |
| 2024 | ECAI | LoginMEA: Local-to-Global Interaction Network for Multi-Modal Entity Alignment. | Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu |
| 2024 | ICANN | Towards Persona-Oriented LLM-Generated Text Detection: Benchmark Dataset and Method. | Siqi Wang, Shiyao Cui, Chuang Zhang, Zefeng Zhang, Jing Wang, Tingwen Liu |
| 2024 | ICASSP | Improving Chinese Spelling Correction with Text-Phonetics Differentiation and Adaptive Fusion. | Wenhao Zhang, Shiyao Cui, Wenyuan Zhang, Xinghua Zhang, Tingwen Liu, Hongbo Xu |
| 2024 | ICASSP | Fine-Grained Features Alignment and Fusion for Text-Video Cross-Modal Retrieval. | Shuili Zhang, Hongzhang Mu, Quangang Li, Chenglong Xiao, Tingwen Liu |
| 2024 | ICASSP | Noise-Disentangled Graph Contrastive Learning via Low-Rank and Sparse Subspace Decomposition. | Gehang Zhang, Jiawei Sheng, Shicheng Wang, Tingwen Liu |
| 2024 | ICASSP | Adaptive Data Augmentation for Aspect Sentiment Quad Prediction. | Wenyuan Zhang, Xinghua Zhang, Shiyao Cui, Kun Huang, Xuebin Wang, Tingwen Liu |
| 2024 | IJCNN | News Topic Sentence Generation Based on Two-stage Summarization. | Jingwen Lin, Shunan Zang, Taoyu Su, Chuang Zhang, Tingwen Liu |
| 2024 | IJCNN | Prog-TAPAS: Enabling Table and Program Representation Consistency for Fact Verification. | Siqi Wang, Chuang Zhang, Tingwen Liu |
| 2024 | IJCNN | Improving Accuracy and Generalizability via Multi-Modal Large Language Models Collaboration. | Shuili Zhang, Hongzhang Mu, Tingwen Liu |
| 2024 | SIGIR | Exploring the Trade-Off within Visual Information for MultiModal Sentence Summarization. | Minghuan Yuan, Shiyao Cui, Xinghua Zhang, Shicheng Wang, Hongbo Xu, Tingwen Liu |
| 2024 | SIGIR | Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition. | Xinghua Zhang, Gaode Chen, Shiyao Cui, Jiawei Sheng, Tingwen Liu, Hongbo Xu |
| 2024 | WSDM | CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process. | Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Wenyuan Zhang, Quangang Li, Tingwen Liu |
| 2023 | ACL | Universal Information Extraction with Meta-Pretrained Self-Retrieval. | Xin Cong, Bowen Yu, Mengcheng Fang, Tingwen Liu, Haiyang Yu, Zhongkai Hu, Fei Huang, Yongbin Li, Bin Wang |
| 2023 | ECAI | Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification. | Jiawei Sheng, Xin Cong, Jiangxia Cao, Shu Guo, Chen Li, Lihong Wang, Tingwen Liu, Hongbo Xu |
| 2023 | IJCNN | Adapt-to-Learn Policy Network for Abstractive Multi-document Summarization. | Hongzhang Mu, Shuili Zhang, Quangang Li, Tingwen Liu, Hongbo Xu |
| 2023 | WWW | Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings. | Zhenyu Zhang, Bowen Yu, Tingwen Liu, Tianyun Liu, Yubin Wang, Li Guo |
| 2023 | SIGIR | Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition. | Xinghua Zhang, Bowen Yu, Jiangxia Cao, Quangang Li, Xuebin Wang, Tingwen Liu, Hongbo Xu |
| 2023 | SIGIR | HDNR: A Hyperbolic-Based Debiased Approach for Personalized News Recommendation. | Shicheng Wang, Shu Guo, Lihong Wang, Tingwen Liu, Hongbo Xu |
| 2023 | WSDM | Towards Universal Cross-Domain Recommendation. | Jiangxia Cao, Shaoshuai Li, Bowen Yu, Xiaobo Guo, Tingwen Liu, Bin Wang |
| 2022 | ACL | Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph. | Yanzeng Li, Jiangxia Cao, Xin Cong, Zhenyu Zhang, Bowen Yu, Hongsong Zhu, Tingwen Liu |
| 2022 | CIKM | Contrastive Cross-Domain Sequential Recommendation. | Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang |
| 2022 | COLING | Event Causality Extraction with Event Argument Correlations. | Shiyao Cui, Jiawei Sheng, Xin Cong, Quangang Li, Tingwen Liu, Jinqiao Shi |
| 2022 | EMNLP | Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence. | Mengxiao Song, Bowen Yu, Quangang Li, Yubin Wang, Tingwen Liu, Hongbo Xu |
| 2022 | ICASSP | Document-Level Event Extraction via Human-Like Reading Process. | Shiyao Cui, Xin Cong, Bowen Yu, Tingwen Liu, Yucheng Wang, Jinqiao Shi |
| 2022 | ICDE | Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck. | Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang |
| 2022 | IJCNN | Learning-to-Learn Agent Adaptation Policy for Abstractive Summarization. | Hongzhang Mu, Tingwen Liu, Hongbo Xu |
| 2022 | SIGIR | Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition. | Xinghua Zhang, Bowen Yu, Yubin Wang, Tingwen Liu, Taoyu Su, Hongbo Xu |
| 2022 | SIGIR | Item Similarity Mining for Multi-Market Recommendation. | Jiangxia Cao, Xin Cong, Tingwen Liu, Bin Wang |
| 2022 | SIGIR | DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation. | Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu, Bin Wang |
| 2022 | SIGIR | Relation-Guided Few-Shot Relational Triple Extraction. | Xin Cong, Jiawei Sheng, Shiyao Cui, Bowen Yu, Tingwen Liu, Bin Wang |
| 2022 | SIGIR | CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection. | Jiawei Sheng, Rui Sun, Shu Guo, Shiyao Cui, Jiangxia Cao, Lihong Wang, Tingwen Liu, Hongbo Xu |
| 2022 | SEKE | Enhancing Pre-Trained Language Representations Based on Contrastive Learning for Unsupervised Keyphrase Extraction. | Zhaohui Wang, Xinghua Zhang, Yanzeng Li, Yubin Wang, Jiawei Sheng, Tingwen Liu, Hongbo Xu |
| 2021 | ACL | Few-Shot Event Detection with Prototypical Amortized Conditional Random Field. | Xin Cong, Shiyao Cui, Bowen Yu, Tingwen Liu, Yubin Wang, Bin Wang |
| 2021 | ACL | CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction. | Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu |
| 2021 | ACL | Discontinuous Named Entity Recognition as Maximal Clique Discovery. | Yucheng Wang, Bowen Yu, Hongsong Zhu, Tingwen Liu, Nan Yu, Limin Sun |
| 2021 | ACL | From What to Why: Improving Relation Extraction with Rationale Graph. | Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Mengge Xue, Tingwen Liu, Li Guo |
| 2021 | EMNLP | Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. | Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu |
| 2021 | EMNLP | Maximal Clique Based Non-Autoregressive Open Information Extraction. | Bowen Yu, Yucheng Wang, Tingwen Liu, Hongsong Zhu, Limin Sun, Bin Wang |
| 2021 | EMNLP | Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. | Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu |
| 2021 | ICASSP | Enhancing Deep Paraphrase Identification via Leveraging Word Alignment Information. | Boxin Li, Tingwen Liu, Bin Wang, Lihong Wang |
| 2021 | NAACL | FITAnnotator: A Flexible and Intelligent Text Annotation System. | Yanzeng Li, Bowen Yu, Quangang Li, Tingwen Liu |
| 2021 | PAKDD | SEPC: Improving Joint Extraction of Entities and Relations by Strengthening Entity Pairs Connection. | Jiapeng Zhao, Panpan Zhang, Tingwen Liu, Jinqiao Shi |
| 2021 | WWW | Semi-Open Information Extraction. | Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Yubin Wang, Yucheng Wang, Bin Wang |
| 2021 | WSDM | Bipartite Graph Embedding via Mutual Information Maximization. | Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang |
| 2021 | SDM | Heterogeneous Graph Neural Networks for Query-focused Summarization. | Jing Ya, Tingwen Liu, Jiangxia Cao, Li Guo |
| 2020 | AAAI | Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction. | Zhenyu Zhang, Xiaobo Shu, Bowen Yu, Tingwen Liu, Jiapeng Zhao, Quangang Li, Li Guo |
| 2020 | ACL | Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention. | Yanzeng Li, Bowen Yu, Mengge Xue, Tingwen Liu |
| 2020 | COLING | TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking. | Yucheng Wang, Bowen Yu, Yueyang Zhang, Tingwen Liu, Hongsong Zhu, Limin Sun |
| 2020 | COLING | Porous Lattice Transformer Encoder for Chinese NER. | Mengge Xue, Bowen Yu, Tingwen Liu, Yue Zhang, Erli Meng, Bin Wang |
| 2020 | COLING | Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction. | Bowen Yu, Mengge Xue, Zhenyu Zhang, Tingwen Liu, Yubin Wang, Bin Wang |
| 2020 | COLING | Document-level Relation Extraction with Dual-tier Heterogeneous Graph. | Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu, Hengzhu Tang, Yubin Wang, Li Guo |
| 2020 | ECAI | Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. | Bowen Yu, Zhenyu Zhang, Xiaobo Shu, Tingwen Liu, Yubin Wang, Bin Wang, Sujian Li |
| 2020 | EMNLP | Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation. | Shiyao Cui, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Xuebin Wang, Jinqiao Shi |
| 2020 | EMNLP | Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. | Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu |
| 2020 | EMNLP | Coarse-to-Fine Pre-training for Named Entity Recognition. | Mengge Xue, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang, Bin Wang |
| 2020 | IJCNN | Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population. | Zhenyu Zhang, Xiaobo Sind, Tingwen Liu, Zheng Fang, Quangang Li |
| 2020 | IJCNN | Label Noise Robust Curriculum for Deep Paraphrase Identification. | Boxin Li, Tingwen Liu, Bin Wang, Lihong Wang |
| 2020 | IJCNN | DRG2vec: Learning Word Representations from Definition Relational Graph. | Xiaobo Shu, Bowen Yu, Zhenyu Zhang, Tingwen Liu |
| 2020 | IJCNN | BiG-Transformer: Integrating Hierarchical Features for Transformer via Bipartite Graph. | Xiaobo Shu, Mengge Xue, Yanzeng Li, Zhenyu Zhang, Tingwen Liu |
| 2020 | ISCC | 2ch-TCN: A Website Fingerprinting Attack over Tor Using 2-channel Temporal Convolutional Networks. | Meiqi Wang, Yanzeng Li, Xuebin Wang, Tingwen Liu, Jinqiao Shi, Muqian Chen |
| 2020 | PAKDD | Strong Baselines for Author Name Disambiguation with and Without Neural Networks. | Zhenyu Zhang, Bowen Yu, Tingwen Liu, Dong Wang |
| 2020 | PAKDD | SLGAT: Soft Labels Guided Graph Attention Networks. | Yubin Wang, Zhenyu Zhang, Tingwen Liu, Li Guo |
| 2020 | SAC | Aspect level sentiment classification with unbiased attention and target enhanced representations. | Peng Liu, Tingwen Liu, Jinqiao Shi, Xuebin Wang, Zelin Yin, Can Zhao |
| 2020 | WISE | Fine-Grained Semantics-Aware Heterogeneous Graph Neural Networks. | Yubin Wang, Zhenyu Zhang, Tingwen Liu, Hongbo Xu, Jingjing Wang, Li Guo |
| 2020 | WISE | A Compare-Aggregate Model with External Knowledge for Query-Focused Summarization. | Jing Ya, Tingwen Liu, Li Guo |
| 2019 | ICANN | Revising Attention with Position for Aspect-Level Sentiment Classification. | Dong Wang, Tingwen Liu, Bin Wang |
| 2019 | ICCS | Improving Academic Homepage Identification from the Web Using Neural Networks. | Jiapeng Zhao, Tingwen Liu, Jinqiao Shi |
| 2019 | IJCAI | Beyond Word Attention: Using Segment Attention in Neural Relation Extraction. | Bowen Yu, Zhenyu Zhang, Tingwen Liu, Bin Wang, Sujian Li, Quangang Li |
| 2019 | IJCNN | ICNet: Incorporating Indicator Words and Contexts to Identify Functional Description Information. | Qu Liu, Zhenyu Zhang, Yanzeng Li, Tingwen Liu, Diying Li, Jinqiao Shi |
| 2019 | IJCNN | NeuralAS: Deep Word-Based Spoofed URLs Detection Against Strong Similar Samples. | Jing Ya, Tingwen Liu, Panpan Zhang, Jinqiao Shi, Li Guo, Zhaojun Gu |
| 2019 | ISCC | SignalCookie: Discovering Guard Relays of Hidden Services in Parallel. | Muqian Chen, Xuebin Wang, Tingwen Liu, Jinqiao Shi, Zelin Yin, Binxing Fang |
| 2019 | ISCC | iMCircle: Automatic Mining of Indicators of Compromise from the Web. | Panpan Zhang, Jing Ya, Tingwen Liu, Quangang Li, Jinqiao Shi, Zhaojun Gu |
| 2018 | ACML | Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction. | Yanzeng Li, Tingwen Liu, Diying Li, Quangang Li, Jinqiao Shi, Yanqiu Wang |
| 2018 | ICCS | You Have More Abbreviations Than You Know: A Study of AbbrevSquatting Abuse. | Pin Lv, Jing Ya, Tingwen Liu, Jinqiao Shi, Binxing Fang, Zhaojun Gu |
| 2017 | ICCS | Mining Host Behavior Patterns From Massive Network and Security Logs. | Jing Ya, Tingwen Liu, Quangang Li, Jinqiao Shi, Haoliang Zhang, Pin Lv, Li Guo |
| 2017 | ICCS | Recognizing Compound Entity Phrases in Hybrid Academic Domains in View of Community Division. | Yang Yan, Tingwen Liu, Quangang Li, Jinqiao Shi, Li Guo, Yubin Wang |
| 2017 | ICCS | Domain Watcher: Detecting Malicious Domains Based on Local and Global Textual Features. | Panpan Zhang, Tingwen Liu, Yang Zhang, Jing Ya, Jinqiao Shi, Yubin Wang |
| 2017 | ICTAI | Flexible Expert Finding on the Web via Semantic Hypergraph Learning and Affinity Propagation Model. | Yang Yan, Tingwen Liu, Jinqiao Shi, Qiuyan Wang, Li Guo |
| 2016 | ICCS | Identifying Users across Different Sites using Usernames. | Yubin Wang, Tingwen Liu, Qingfeng Tan, Jinqiao Shi, Li Guo |
| 2016 | KSEM | An Unsupervised Framework Towards Sci-Tech Compound Entity Recognition. | Yang Yan, Tingwen Liu, Li Guo, Jiapeng Zhao, Jinqiao Shi |
| 2015 | APWEB | A Self-learning Rule-Based Approach for Sci-tech Compound Phrase Entity Recognition. | Tingwen Liu, Yang Zhang, Yang Yan, Jinqiao Shi, Li Guo |
| 2015 | ISCC | Towards misdirected email detection based on multi-attributes. | Yiguo Pu, Jinqiao Shi, Xiaojun Chen, Li Guo, Tingwen Liu |
| 2014 | ICCCN | A probabilistic approach towards modeling email network with realistic features. | Quangang Li, Jinqiao Shi, Tingwen Liu, Li Guo, Zhiguang Qin |
| 2014 | ISCC | Towards misdirected email detection for preventing information leakage. | Tingwen Liu, Yiguo Pu, Jinqiao Shi, Quangang Li, Xiaojun Chen |
| 2012 | ACNS | A Prefiltering Approach to Regular Expression Matching for Network Security Systems. | Tingwen Liu, Yong Sun, Alex X. Liu, Li Guo, Binxing Fang |
| 2012 | RAID | EFA for Efficient Regular Expression Matching in NIDS (Poster Abstract). | Dengke Qiao, Tingwen Liu, Yong Sun, Li Guo |
| 2011 | INFOCOM | An efficient regular expressions compression algorithm from a new perspective. | Tingwen Liu, Yifu Yang, Yanbing Liu, Yong Sun, Li Guo |
| 2011 | SAC | Improving matching performance of DPI traffic classifier. | Tingwen Liu, Yong Sun, Li Guo, Binxing Fang |
| 2009 | GLOBECOM | Load Balancing for Flow-Based Parallel Processing Systems in CMP Architecture. | Tingwen Liu, Yong Sun, Zhibin Zhang, Li Guo |