Load Balancing for Flow-Based Parallel Processing Systems in CMP Architecture. - Tingwen Liu; Yong Sun; Zhibin Zhang; Li Guo 001 (GLOBECOM, 2009)

Fast and Memory-Efficient Traffic Classification with Deep Packet Inspection in CMP Architecture. - Tingwen Liu; Yong Sun; Li Guo 001 (NAS, 2010)

An efficient regular expressions compression algorithm from a new perspective. - Tingwen Liu; Yifu Yang; Yanbing Liu; Yong Sun; Li Guo 001 (INFOCOM, 2011)

Improving matching performance of DPI traffic classifier. - Tingwen Liu; Yong Sun; Li Guo 001; Binxing Fang (SAC, 2011)

A Prefiltering Approach to Regular Expression Matching for Network Security Systems. - Tingwen Liu; Yong Sun; Alex X. Liu; Li Guo 001; Binxing Fang (ACNS, 2012)

EFA for Efficient Regular Expression Matching in NIDS (Poster Abstract). - Dengke Qiao; Tingwen Liu; Yong Sun; Li Guo 001 (RAID, 2012)

SDFA: Series DFA for Memory-Efficient Regular Expression Matching. - Tingwen Liu; Yong Sun; Li Guo 001; Binxing Fang (CIAA, 2012)

EPLogCleaner: Improving Data Quality of Enterprise Proxy Logs for Efficient Web Usage Mining. - Hongzhou Sha; Tingwen Liu; Peng Qin; Yong Sun; Qingyun Liu 001 (ITQM, 2013)

A probabilistic approach towards modeling email network with realistic features. - Quangang Li; Jinqiao Shi; Tingwen Liu; Li Guo 001; Zhiguang Qin (ICCCN, 2014)

Towards misdirected email detection for preventing information leakage. - Tingwen Liu; Yiguo Pu; Jinqiao Shi; Quangang Li; Xiaojun Chen 004 (ISCC, 2014)

Towards Fast and Optimal Grouping of Regular Expressions via DFA Size Estimation. - Tingwen Liu; Alex X. Liu; Jinqiao Shi; Yong Sun; Li Guo 001 (IEEE J. Sel. Areas Commun., 2014)

A Self-learning Rule-Based Approach for Sci-tech Compound Phrase Entity Recognition. - Tingwen Liu; Yang Zhang; Yang Yan; Jinqiao Shi; Li Guo 001 (APWeb, 2015)

Limited Dictionary Builder: An approach to select representative tokens for malicious URLs detection. - Hongzhou Sha; Zhou Zhou 007; Qingyun Liu 001; Tingwen Liu; Chao Zheng 001 (ICC, 2015)

Towards misdirected email detection based on multi-attributes. - Yiguo Pu; Jinqiao Shi; Xiaojun Chen 004; Li Guo 001; Tingwen Liu (ISCC, 2015)

An automatic approach to extract the formats of network and security log messages. - Jing Ya; Tingwen Liu; Haoliang Zhang; Jinqiao Shi; Li Guo 001 (MILCOM, 2015)

Towards Personal Relation Extraction Based on Sentence Pattern Tree. - Jiapeng Zhao; Yang Yan; Tingwen Liu; Jinqiao Shi (CCKS, 2016)

Identifying Users across Different Sites using Usernames. - Yubin Wang; Tingwen Liu; Qingfeng Tan; Jinqiao Shi; Li Guo 001 (ICCS, 2016)

An Unsupervised Framework Towards Sci-Tech Compound Entity Recognition. - Yang Yan; Tingwen Liu; Li Guo 001; Jiapeng Zhao; Jinqiao Shi (KSEM, 2016)

Towards quantifying visual similarity of domain names for combating typosquatting abuse. - Tingwen Liu; Yang Zhang; Jinqiao Shi; Jing Ya; Quangang Li; Li Guo 001 (MILCOM, 2016)

Mining Host Behavior Patterns From Massive Network and Security Logs. - Jing Ya; Tingwen Liu; Quangang Li; Jinqiao Shi; Haoliang Zhang; Pin Lv; Li Guo 001 (ICCS, 2017)

Recognizing Compound Entity Phrases in Hybrid Academic Domains in View of Community Division. - Yang Yan; Tingwen Liu; Quangang Li; Jinqiao Shi; Li Guo 001; Yubin Wang (ICCS, 2017)

Domain Watcher: Detecting Malicious Domains Based on Local and Global Textual Features. - Panpan Zhang; Tingwen Liu; Yang Zhang; Jing Ya; Jinqiao Shi; Yubin Wang (ICCS, 2017)

Flexible Expert Finding on the Web via Semantic Hypergraph Learning and Affinity Propagation Model. - Yang Yan; Tingwen Liu; Jinqiao Shi; Qiuyan Wang; Li Guo 001 (ICTAI, 2017)

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 (ACML, 2018)

Detection of Malicious Domain Names Based on Hidden Markov Model. - Pin Lv; Lingling Bai; Tingwen Liu; Zhenhu Ning; Jinqiao Shi; Binxing Fang (DSC, 2018)

You Have More Abbreviations Than You Know: A Study of AbbrevSquatting Abuse. - Pin Lv; Jing Ya; Tingwen Liu; Jinqiao Shi; Binxing Fang; Zhaojun Gu (ICCS (1), 2018)

Fast and Accurate Typosquatting Domains Evaluation with Siamese Networks. - Jing Ya; Tingwen Liu; Quangang Li; Pin Lv; Jinqiao Shi; Li Guo 001 (MILCOM, 2018)

Revising Attention with Position for Aspect-Level Sentiment Classification. - Dong Wang 029; Tingwen Liu; Bin Wang 004 (ICANN (4), 2019)

Improving Academic Homepage Identification from the Web Using Neural Networks. - Jiapeng Zhao; Tingwen Liu; Jinqiao Shi (ICCS (5), 2019)

Beyond Word Attention: Using Segment Attention in Neural Relation Extraction. - Bowen Yu 002; Zhenyu Zhang 006; Tingwen Liu; Bin Wang 004; Sujian Li; Quangang Li (IJCAI, 2019)

ICNet: Incorporating Indicator Words and Contexts to Identify Functional Description Information. - Qu Liu; Zhenyu Zhang 006; Yanzeng Li; Tingwen Liu; Diying Li; Jinqiao Shi (IJCNN, 2019)

NeuralAS: Deep Word-Based Spoofed URLs Detection Against Strong Similar Samples. - Jing Ya; Tingwen Liu; Panpan Zhang; Jinqiao Shi; Li Guo 001; Zhaojun Gu (IJCNN, 2019)

SignalCookie: Discovering Guard Relays of Hidden Services in Parallel. - Muqian Chen; Xuebin Wang; Tingwen Liu; Jinqiao Shi; Zelin Yin; Binxing Fang (ISCC, 2019)

iMCircle: Automatic Mining of Indicators of Compromise from the Web. - Panpan Zhang; Jing Ya; Tingwen Liu; Quangang Li; Jinqiao Shi; Zhaojun Gu (ISCC, 2019)

SFV-CNN: Deep Text Sentiment Classification with Scenario Feature Representation. - Haoliang Zhang; Hongbo Xu; Jinqiao Shi; Tingwen Liu; Jing Ya (MACIS, 2019)

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. - Bowen Yu 002; Zhenyu Zhang 006; Jianlin Su; Yubin Wang; Tingwen Liu; Bin Wang 004; Sujian Li (CoRR, 2019)

Porous Lattice-based Transformer Encoder for Chinese NER. - Mengge Xue; Bowen Yu 002; Tingwen Liu; Bin Wang 004; Erli Meng; Quangang Li (CoRR, 2019)

Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction. - Zhenyu Zhang 006; Xiaobo Shu; Bowen Yu 002; Tingwen Liu; Jiapeng Zhao; Quangang Li; Li Guo 001 (AAAI, 2020)

Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention. - Yanzeng Li; Bowen Yu 002; Mengge Xue; Tingwen Liu (ACL, 2020)

TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking. - Yucheng Wang; Bowen Yu 002; Yueyang Zhang; Tingwen Liu; Hongsong Zhu; Limin Sun 001 (COLING, 2020)

Porous Lattice Transformer Encoder for Chinese NER. - Mengge Xue; Bowen Yu 002; Tingwen Liu; Yue Zhang; Erli Meng; Bin Wang 004 (COLING, 2020)

Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction. - Bowen Yu 002; Mengge Xue; Zhenyu Zhang 006; Tingwen Liu; Yubin Wang; Bin Wang 004 (COLING, 2020)

Document-level Relation Extraction with Dual-tier Heterogeneous Graph. - Zhenyu Zhang 006; Bowen Yu 002; Xiaobo Shu; Tingwen Liu; Hengzhu Tang; Yubin Wang; Li Guo 001 (COLING, 2020)

Word Level Domain-Diversity Attention Based LSTM Model for Sentiment Classification. - Haoliang Zhang; Hongbo Xu; Jinqiao Shi; Tingwen Liu; Chun Liao (DSC, 2020)

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. - Bowen Yu 002; Zhenyu Zhang 006; Xiaobo Shu; Tingwen Liu; Yubin Wang; Bin Wang 004; Sujian Li (ECAI, 2020)

Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation. - Shiyao Cui; Bowen Yu 002; Tingwen Liu; Zhenyu Zhang 006; Xuebin Wang; Jinqiao Shi (EMNLP (Findings), 2020)

Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. - Jiawei Sheng; Shu Guo; Zhenyu Chen; Juwei Yue; Lihong Wang; Tingwen Liu; Hongbo Xu (EMNLP (1), 2020)

Coarse-to-Fine Pre-training for Named Entity Recognition. - Mengge Xue; Bowen Yu 002; Zhenyu Zhang 006; Tingwen Liu; Yue Zhang; Bin Wang 004 (EMNLP (1), 2020)

Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population. - Zhenyu Zhang 006; Xiaobo Sind; Tingwen Liu; Zheng Fang 002; Quangang Li (IJCNN, 2020)

Label Noise Robust Curriculum for Deep Paraphrase Identification. - Boxin Li; Tingwen Liu; Bin Wang 004; Lihong Wang (IJCNN, 2020)

DRG2vec: Learning Word Representations from Definition Relational Graph. - Xiaobo Shu; Bowen Yu 002; Zhenyu Zhang 006; Tingwen Liu (IJCNN, 2020)

BiG-Transformer: Integrating Hierarchical Features for Transformer via Bipartite Graph. - Xiaobo Shu; Mengge Xue; Yanzeng Li; Zhenyu Zhang 006; Tingwen Liu (IJCNN, 2020)

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 (ISCC, 2020)

Strong Baselines for Author Name Disambiguation with and Without Neural Networks. - Zhenyu Zhang 006; Bowen Yu 002; Tingwen Liu; Dong Wang 029 (PAKDD (1), 2020)

SLGAT: Soft Labels Guided Graph Attention Networks. - Yubin Wang; Zhenyu Zhang 006; Tingwen Liu; Li Guo 001 (PAKDD (1), 2020)

Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering. - Xin Cong; Bowen Yu 002; Tingwen Liu; Shiyao Cui; Hengzhu Tang; Bin Wang 004 (ECML/PKDD (2), 2020)

Aspect level sentiment classification with unbiased attention and target enhanced representations. - Peng Liu; Tingwen Liu; Jinqiao Shi; Xuebin Wang; Zelin Yin; Can Zhao 005 (SAC, 2020)

Fine-Grained Semantics-Aware Heterogeneous Graph Neural Networks. - Yubin Wang; Zhenyu Zhang 006; Tingwen Liu; Hongbo Xu; Jingjing Wang; Li Guo 001 (WISE (1), 2020)

A Compare-Aggregate Model with External Knowledge for Query-Focused Summarization. - Jing Ya; Tingwen Liu; Li Guo 001 (WISE (2), 2020)

Event Detection with Relation-Aware Graph Convolutional Neural Networks. - Shiyao Cui; Bowen Yu 002; Tingwen Liu; Zhenyu Zhang 006; Xuebin Wang; Jinqiao Shi (CoRR, 2020)

Label Enhanced Event Detection with Heterogeneous Graph Attention Networks. - Shiyao Cui; Bowen Yu 002; Xin Cong; Tingwen Liu; Quangang Li; Jinqiao Shi (CoRR, 2020)

Few-Shot Event Detection with Prototypical Amortized Conditional Random Field. - Xin Cong; Shiyao Cui; Bowen Yu 002; Tingwen Liu; Yubin Wang; Bin Wang 004 (ACL/IJCNLP (Findings), 2021)

CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction. - Jiawei Sheng; Shu Guo; Bowen Yu 002; Qian Li 033; Yiming Hei; Lihong Wang; Tingwen Liu; Hongbo Xu (ACL/IJCNLP (Findings), 2021)

Discontinuous Named Entity Recognition as Maximal Clique Discovery. - Yucheng Wang; Bowen Yu 002; Hongsong Zhu; Tingwen Liu; Nan Yu; Limin Sun 001 (ACL/IJCNLP (1), 2021)

From What to Why: Improving Relation Extraction with Rationale Graph. - Zhenyu Zhang 006; Bowen Yu 002; Xiaobo Shu; Mengge Xue; Tingwen Liu; Li Guo 001 (ACL/IJCNLP (Findings), 2021)

Identifying Reply Relationships from Telegram Groups Using Multi-Features Fusion. - Panpan Zhang; Yao Qi; Yanzeng Li; Jing Ya; Xuebin Wang; Tingwen Liu; Jinqiao Shi (DSC, 2021)

Mining Open-Source Cyber Threat Intelligence with Distant Supervision from the Web. - Panpan Zhang; Jing Ya; Tingwen Liu; Jinqiao Shi (DSC, 2021)

Relation Extraction based on Data Partition and Representation Integration. - Jiapeng Zhao; Panpan Zhang; Tingwen Liu; Zhenyu Zhang 006; Yanzeng Li; Jinqiao Shi (DSC, 2021)

Maximal Clique Based Non-Autoregressive Open Information Extraction. - Bowen Yu 002; Yucheng Wang; Tingwen Liu; Hongsong Zhu; Limin Sun 001; Bin Wang 004 (EMNLP (1), 2021)

Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. - Xinghua Zhang 001; Bowen Yu 002; Tingwen Liu; Zhenyu Zhang 006; Jiawei Sheng; Mengge Xue; Hongbo Xu (EMNLP (1), 2021)

Enhancing Deep Paraphrase Identification via Leveraging Word Alignment Information. - Boxin Li; Tingwen Liu; Bin Wang 004; Lihong Wang (ICASSP, 2021)

Darknet Public Hazard Entity Recognition Based on Deep Learning. - Panpan Zhang; Xuebin Wang; Jing Ya; Jiapeng Zhao; Tingwen Liu; Jinqiao Shi (ICEA, 2021)

FITAnnotator: A Flexible and Intelligent Text Annotation System. - Yanzeng Li; Bowen Yu 002; Quangang Li; Tingwen Liu (NAACL-HLT (Demonstrations), 2021)

SEPC: Improving Joint Extraction of Entities and Relations by Strengthening Entity Pairs Connection. - Jiapeng Zhao; Panpan Zhang; Tingwen Liu; Jinqiao Shi (PAKDD (1), 2021)

Deep Structural Point Process for Learning Temporal Interaction Networks. - Jiangxia Cao; Xixun Lin; Xin Cong; Shu Guo; Hengzhu Tang; Tingwen Liu; Bin Wang 004 (ECML/PKDD (1), 2021)

NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction. - Zhenyu Zhang 006; Bowen Yu 002; Xiaobo Shu; Tingwen Liu (ECML/PKDD (3), 2021)

Heterogeneous Graph Neural Networks for Query-focused Summarization. - Jing Ya; Tingwen Liu; Jiangxia Cao; Li Guo (SDM, 2021)

Bipartite Graph Embedding via Mutual Information Maximization. - Jiangxia Cao; Xixun Lin; Shu Guo; Luchen Liu; Tingwen Liu; Bin Wang 004 (WSDM, 2021)

Semi-Open Information Extraction. - Bowen Yu 002; Zhenyu Zhang 006; Jiawei Sheng; Tingwen Liu; Yubin Wang; Yucheng Wang; Bin Wang 004 (WWW, 2021)

A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task. - Jiawei Sheng; Qian Li 033; Yiming Hei; Shu Guo; Bowen Yu 002; Lihong Wang; Min He; Tingwen Liu; Hongbo Xu (Data Intell., 2021)

Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph. - Yanzeng Li; Jiangxia Cao; Xin Cong; Zhenyu Zhang 006; Bowen Yu 002; Hongsong Zhu; Tingwen Liu (ACL (1), 2022)

Contrastive Cross-Domain Sequential Recommendation. - Jiangxia Cao; Xin Cong; Jiawei Sheng; Tingwen Liu; Bin Wang 004 (CIKM, 2022)

Event Causality Extraction with Event Argument Correlations. - Shiyao Cui; Jiawei Sheng; Xin Cong; Quangang Li; Tingwen Liu; Jinqiao Shi (COLING, 2022)

Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence. - Mengxiao Song; Bowen Yu 002; Quangang Li; Yubin Wang; Tingwen Liu; Hongbo Xu (EMNLP, 2022)

Document-Level Event Extraction via Human-Like Reading Process. - Shiyao Cui; Xin Cong; Bowen Yu 002; Tingwen Liu; Yucheng Wang; Jinqiao Shi (ICASSP, 2022)

Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck. - Jiangxia Cao; Jiawei Sheng; Xin Cong; Tingwen Liu; Bin Wang 004 (ICDE, 2022)

Learning-to-Learn Agent Adaptation Policy for Abstractive Summarization. - Hongzhang Mu; Tingwen Liu; Hongbo Xu (IJCNN, 2022)

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration. - Zhenyu Zhang 006; Bowen Yu 002; Haiyang Yu 003; Tingwen Liu; Cheng Fu 003; Jingyang Li; Chengguang Tang; Jian Sun 021; Yongbin Li (ACM Multimedia, 2022)

Multi-interest Extraction Joint with Contrastive Learning for News Recommendation. - Shicheng Wang; Shu Guo; Lihong Wang; Tingwen Liu; Hongbo Xu (ECML/PKDD (1), 2022)

Enhancing Pre-Trained Language Representations Based on Contrastive Learning for Unsupervised Keyphrase Extraction. - Zhaohui Wang; Xinghua Zhang 001; Yanzeng Li; Yubin Wang; Jiawei Sheng; Tingwen Liu; Hongbo Xu (SEKE, 2022)

Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition. - Xinghua Zhang 001; Bowen Yu 002; Yubin Wang; Tingwen Liu; Taoyu Su; Hongbo Xu (SIGIR, 2022)

Item Similarity Mining for Multi-Market Recommendation. - Jiangxia Cao; Xin Cong; Tingwen Liu; Bin Wang 004 (SIGIR, 2022)

DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation. - Jiangxia Cao; Xixun Lin; Xin Cong; Jing Ya; Tingwen Liu; Bin Wang 004 (SIGIR, 2022)

Relation-Guided Few-Shot Relational Triple Extraction. - Xin Cong; Jiawei Sheng; Shiyao Cui; Bowen Yu 002; Tingwen Liu; Bin Wang 004 (SIGIR, 2022)

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 (SIGIR, 2022)

Towards Generalized Open Information Extraction. - Bowen Yu 002; Zhenyu Zhang 006; Jingyang Li; Haiyang Yu 003; Tingwen Liu; Jian Sun 021; Yongbin Li; Bin Wang 004 (CoRR, 2022)

Universal Information Extraction with Meta-Pretrained Self-Retrieval. - Xin Cong; Bowen Yu 002; Mengcheng Fang; Tingwen Liu; Haiyang Yu 003; Zhongkai Hu; Fei Huang 002; Yongbin Li; Bin Wang 004 (ACL (Findings), 2023)

ID-MixGCL: Identity Mixup for Graph Contrastive Learning. - Gehang Zhang; Bowen Yu 002; Jiangxia Cao; Xinghua Zhang 001; Jiawei Sheng; Chuan Zhou 001; Tingwen Liu (IEEE Big Data, 2023)

Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification. - Jiawei Sheng; Xin Cong; Jiangxia Cao; Shu Guo; Chen Li 046; Lihong Wang; Tingwen Liu; Hongbo Xu (ECAI, 2023)

Adapt-to-Learn Policy Network for Abstractive Multi-document Summarization. - Hongzhang Mu; Shuili Zhang; Quangang Li; Tingwen Liu; Hongbo Xu (IJCNN, 2023)

Enhancing Table Retrieval with Dual Graph Representations. - Tianyun Liu; Xinghua Zhang 001; Zhenyu Zhang 006; Yubin Wang; Quangang Li; Shuai Zhang; Tingwen Liu (ECML/PKDD (4), 2023)

Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition. - Xinghua Zhang 001; Bowen Yu 002; Jiangxia Cao; Quangang Li; Xuebin Wang; Tingwen Liu; Hongbo Xu (SIGIR, 2023)

HDNR: A Hyperbolic-Based Debiased Approach for Personalized News Recommendation. - Shicheng Wang; Shu Guo; Lihong Wang; Tingwen Liu; Hongbo Xu (SIGIR, 2023)

Towards Universal Cross-Domain Recommendation. - Jiangxia Cao; Shaoshuai Li; Bowen Yu 002; Xiaobo Guo; Tingwen Liu; Bin Wang 004 (WSDM, 2023)

Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings. - Zhenyu Zhang 006; Bowen Yu 002; Tingwen Liu; Tianyun Liu; Yubin Wang; Li Guo 001 (WWW, 2023)

ID-MixGCL: Identity Mixup for Graph Contrastive Learning. - Gehang Zhang; Bowen Yu 002; Jiangxia Cao; Xinghua Zhang 001; Tingwen Liu; Chuan Zhou 001 (CoRR, 2023)

Wider and Deeper LLM Networks are Fairer LLM Evaluators. - Xinghua Zhang 001; Bowen Yu 002; Haiyang Yu 003; Yangyu Lv; Tingwen Liu; Fei Huang 002; Hongbo Xu; Yongbin Li (CoRR, 2023)

Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction. - Shiyao Cui; Xin Cong; Jiawei Sheng; Xuebin Wang; Tingwen Liu; Jinqiao Shi (CoRR, 2023)

FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity. - Shiyao Cui; Zhenyu Zhang 006; Yilong Chen; Wenyuan Zhang 002; Tianyun Liu; Siqi Wang; Tingwen Liu (CoRR, 2023)

LEMON: Reviving Stronger and Smaller LMs from Larger LMs with Linear Parameter Fusion. - Yilong Chen; Junyuan Shang; Zhenyu Zhang 006; Shiyao Cui; Tingwen Liu; Shuohuan Wang; Yu Sun 029; Hua Wu 003 (ACL (1), 2024)

NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time. - Yilong Chen; Guoxia Wang; Junyuan Shang; Shiyao Cui; Zhenyu Zhang 006; Tingwen Liu; Shuohuan Wang; Yu Sun; Dianhai Yu; Hua Wu 003 (ACL (1), 2024)

Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking. - Zefeng Zhang; Jiawei Sheng; Chuang Zhang; Liangyunzhi Liangyunzhi; Wenyuan Zhang 002; Siqi Wang; Tingwen Liu (ACL (Findings), 2024)

Empowering LLMs for Multi-Page Layout Generation via Consistency-Oriented In-Context Learning. - Mengyao Chen; Xinghua Zhang 001; Junhao Zhang; Quangang Li; Tingwen Liu (CIKM, 2024)

MSKR: Advancing Multi-modal Structured Knowledge Representation with Synergistic Hard Negative Samples. - Shuili Zhang; Hongzhang Mu; Tingwen Liu; Qianqian Tong; Jiawei Sheng (CIKM, 2024)

LoginMEA: Local-to-Global Interaction Network for Multi-Modal Entity Alignment. - Taoyu Su; Xinghua Zhang 001; Jiawei Sheng; Zhenyu Zhang 006; Tingwen Liu (ECAI, 2024)

Towards Persona-Oriented LLM-Generated Text Detection: Benchmark Dataset and Method. - Siqi Wang; Shiyao Cui; Chuang Zhang; Zefeng Zhang; Jing Wang; Tingwen Liu (ICANN (7), 2024)

Improving Chinese Spelling Correction with Text-Phonetics Differentiation and Adaptive Fusion. - Wenhao Zhang; Shiyao Cui; Wenyuan Zhang 002; Xinghua Zhang 001; Tingwen Liu; Hongbo Xu (ICASSP, 2024)

Fine-Grained Features Alignment and Fusion for Text-Video Cross-Modal Retrieval. - Shuili Zhang; Hongzhang Mu; Quangang Li; Chenglong Xiao; Tingwen Liu (ICASSP, 2024)

Noise-Disentangled Graph Contrastive Learning via Low-Rank and Sparse Subspace Decomposition. - Gehang Zhang; Jiawei Sheng; Shicheng Wang; Tingwen Liu (ICASSP, 2024)

Adaptive Data Augmentation for Aspect Sentiment Quad Prediction. - Wenyuan Zhang 002; Xinghua Zhang 001; Shiyao Cui; Kun Huang; Xuebin Wang; Tingwen Liu (ICASSP, 2024)

Dynamic Multi-Modal Representation Learning For Topic Modeling. - Hongzhang Mu; Shuili Zhang; Quangang Li; Tingwen Liu; Hongbo Xu (ICME, 2024)

News Topic Sentence Generation Based on Two-stage Summarization. - Jingwen Lin; Shunan Zang; Taoyu Su; Chuang Zhang; Tingwen Liu (IJCNN, 2024)

Prog-TAPAS: Enabling Table and Program Representation Consistency for Fact Verification. - Siqi Wang; Chuang Zhang; Tingwen Liu (IJCNN, 2024)

Improving Accuracy and Generalizability via Multi-Modal Large Language Models Collaboration. - Shuili Zhang; Hongzhang Mu; Tingwen Liu (IJCNN, 2024)

IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment. - Taoyu Su; Jiawei Sheng; Shicheng Wang; Xinghua Zhang 001; Hongbo Xu; Tingwen Liu (ACM Multimedia, 2024)

DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion. - Yilong Chen; Linhao Zhang; Junyuan Shang; Zhenyu Zhang; Tingwen Liu; Shuohuan Wang; Yu Sun (NeurIPS, 2024)

Exploring the Trade-Off within Visual Information for MultiModal Sentence Summarization. - Minghuan Yuan; Shiyao Cui; Xinghua Zhang 001; Shicheng Wang; Hongbo Xu; Tingwen Liu (SIGIR, 2024)

Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition. - Xinghua Zhang 001; Gaode Chen; Shiyao Cui; Jiawei Sheng; Tingwen Liu; Hongbo Xu (SIGIR, 2024)

CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process. - Xiaodong Li 012; Jiawei Sheng; Jiangxia Cao; Wenyuan Zhang 002; Quangang Li; Tingwen Liu (WSDM, 2024)

Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking. - Zefeng Zhang; Jiawei Sheng; Chuang Zhang; Yunzhi Liang; Wenyuan Zhang 002; Siqi Wang; Tingwen Liu (CoRR, 2024)

DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion. - Yilong Chen; Linhao Zhang; Junyuan Shang; Zhenyu Zhang 006; Tingwen Liu; Shuohuan Wang; Yu Sun 029 (CoRR, 2024)

NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time. - Yilong Chen; Guoxia Wang; Junyuan Shang; Shiyao Cui; Zhenyu Zhang 006; Tingwen Liu; Shuohuan Wang; Yu Sun 029; Dianhai Yu; Hua Wu 003 (CoRR, 2024)

Revealing the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing. - Wenyuan Zhang 002; Jiawei Sheng; Shuaiyi Nie; Zefeng Zhang; Xinghua Zhang 001; Yongquan He; Tingwen Liu (CoRR, 2024)

MoR: Mixture of Ranks for Low-Rank Adaptation Tuning. - Chuanyu Tang; Yilong Chen; Zhenyu Zhang 006; Junyuan Shang; Wenyuan Zhang 002; Yong Huang; Tingwen Liu (CoRR, 2024)

Mixture of Hidden-Dimensions Transformer. - Yilong Chen; Junyuan Shang; Zhengyu Zhang; Jiawei Sheng; Tingwen Liu; Shuohuan Wang; Yu Sun 029; Hua Wu 003; Haifeng Wang 001 (CoRR, 2024)

Enhancing Multimodal Entity and Relation Extraction With Variational Information Bottleneck. - Shiyao Cui; Jiangxia Cao; Xin Cong; Jiawei Sheng; Quangang Li; Tingwen Liu; Jinqiao Shi (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Label-Aware Chinese Event Detection with Heterogeneous Graph Attention Network. - Shiyao Cui; Bo-Wen Yu; Xin Cong; Tingwen Liu; Qingfeng Tan; Jinqiao Shi (J. Comput. Sci. Technol., 2024)

Cross-Domain NER under a Divide-and-Transfer Paradigm. - Xinghua Zhang 001; Bowen Yu 002; Xin Cong; Taoyu Su; Quangang Li; Tingwen Liu; Hongbo Xu (ACM Trans. Inf. Syst., 2024)

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 (AAAI, 2025)

Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking. - Yilong Chen; Junyuan Shang; Zhenyu Zhang 006; Yanxi Xie; Jiawei Sheng; Tingwen Liu; Shuohuan Wang; Yu Sun 029; Hua Wu 003; Haifeng Wang 001 (ACL (1), 2025)

SOTOPIA-: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agents. - Wenyuan Zhang; Tianyun Liu; Mengxiao Song; Xiaodong Li; Tingwen Liu (ACL (1), 2025)

Relation Logical Reasoning and Relation-aware Entity Encoding for Temporal Knowledge Graph Reasoning. - Longzhou Liu; Chenglong Xiao; Shanshan Wang; Tingwen Liu (COLING, 2025)

Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization. - Zefeng Zhang; Hengzhu Tang; Jiawei Sheng; Zhenyu Zhang 006; Yiming Ren; Zhenyang Li; Dawei Yin; Duohe Ma; Tingwen Liu (CVPR, 2025)

Translational Generative Retrieval via Potential Query Generation. - Yihan Guo; Tingwen Liu; Jiawei Sheng; Duohe Ma; Ming Sun; Ling Tian (ICASSP, 2025)

Zero-Shot Cross-Domain Slot Filling with Retrieval Augmented In-Context Learning. - Mengxiao Song; Tingwen Liu; Quangang Li; Duohe Ma; Ming Sun; Ling Tian (ICASSP, 2025)

Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users. - Xiaodong Li 012; Jiawei Sheng; Jiangxia Cao; Xinghua Zhang 001; Wenyuan Zhang 002; Yong Sun; Shirui Pan; Zhihong Tian; Tingwen Liu (ICDE, 2025)

Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. - Xiaodong Li 012; Hengzhu Tang; Jiawei Sheng; Xinghua Zhang 001; Li Gao; Suqi Cheng; Dawei Yin; Tingwen Liu (KDD (1), 2025)

Dual-perspective Data Augmentation and Curriculum Learning Framework for Low-resource Complex Named Entity Recognition. - Mengxiao Song; Tianyun Liu; Wenyuan Zhang 002; Quangang Li; Tingwen Liu (SIGIR, 2025)

Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective. - Taoyu Su; Jiawei Sheng; Duohe Ma; Xiaodong Li 012; Juwei Yue; Mengxiao Song; Yingkai Tang; Tingwen Liu (SIGIR, 2025)

Graph Wave Networks. - Juwei Yue; Haikuo Li; Jiawei Sheng; Yihan Guo; Xinghua Zhang 001; Chuan Zhou 001; Tingwen Liu; Li Guo 001 (WWW, 2025)

FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation. - Xiaodong Li 012; Ruochen Yang; Shuang Wen 008; Shen Wang; Yueyang Liu; Guoquan Wang; Weisong Hu; Qiang Luo; Jiawei Sheng; Tingwen Liu; Jiangxia Cao; Shuang Yang; et al. (CoRR, 2025)

SOTOPIA-Ω: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agents. - Wenyuan Zhang; Tianyun Liu; Mengxiao Song; Xiaodong Li; Tingwen Liu (CoRR, 2025)

S1-Bench: A Simple Benchmark for Evaluating System 1 Thinking Capability of Large Reasoning Models. - Wenyuan Zhang 002; Shuaiyi Nie; Xinghua Zhang 001; Zefeng Zhang; Tingwen Liu (CoRR, 2025)

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 012; Taoyu Su; Tingwen Liu; Li Guo 001 (CoRR, 2025)