A Improved Clustering Analysis Method Based on Fuzzy C-Means Algorithm by Adding PSO Algorithm. - Liang Pang; Kai Xiao; Alei Liang; Haibing Guan (HAIS (1), 2012)

Granular computing in visual haze-free task. - Hong Hu 001; Liang Pang; Dongping Tian; Zhongzhi Shi (GrC, 2013)

Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches. - Xudong Liu; Bing Xu; Yuyu Zhang; Qiang Yan; Liang Pang; Qiang Li 024; Hanxiao Sun; Bin Wang 004 (CoRR, 2013)

Artificial Noise Generated in MIMO Scenario: Optimal Power Design. - Yan Zhu; Yongkai Zhou; Shivani Patel; Xiao Chen; Liang Pang; Zhi Xue (IEEE Signal Process. Lett., 2013)

Development of high-performance GaN-based power transistors - Liang Pang (2013)

Capacity-Equivocation Region Bounds for Degraded Broadcast Channel with Action-Dependent States. - Xinxing Yin; Yan Zhu; Xiao Chen; Liang Pang; Zhi Xue (CIT, 2014)

A hybrid approach of PTSVM and ELM inspired by samples' geometric distribution structure. - Hong Hu 001; Panyi Ouyang; Liang Pang; Zhongzhi Shi (GrC, 2014)

Information embedding on actions in wiretap channel. - Xinxing Yin; Liang Pang; Zhi Xue (ICC Workshops, 2014)

Large Scale Purchase Prediction with Historical User Actions on B2C Online Retail Platform. - Yuyu Zhang; Liang Pang; Lei Shi 015; Bin Wang 004 (CoRR, 2014)

Perception granular computing in visual haze-free task. - Hong Hu 001; Liang Pang; Dongping Tian; Zhongzhi Shi (Expert Syst. Appl., 2014)

Security in MIMO wireless hybrid channel with artificial noise. - Xiao Chen; Liang Pang; Yuhuan Tang; Hongpeng Yang; Zhi Xue (SSIC, 2015)

基于增益字典查询的语音增强算法 (Speech Enhancement Based on Gain Dictionary Queries). - Liang Pang; Liang Chen; Yipeng Zhang; Qingquan Huang (计算机科学, 2015)

SPAN: Understanding a Question with Its Support Answers. - Liang Pang; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (AAAI, 2016)

Text Matching as Image Recognition. - Liang Pang; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Shengxian Wan; Xueqi Cheng (AAAI, 2016)

A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. - Shengxian Wan; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Liang Pang; Xueqi Cheng (AAAI, 2016)

Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval. - Liu Yang 005; Qingyao Ai; Damiano Spina; Ruey-Cheng Chen; Liang Pang; W. Bruce Croft; Jiafeng Guo; Falk Scholer (ECIR, 2016)

Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. - Shengxian Wan; Yanyan Lan; Jun Xu 001; Jiafeng Guo; Liang Pang; Xueqi Cheng (IJCAI, 2016)

A Study of MatchPyramid Models on Ad-hoc Retrieval. - Liang Pang; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (CoRR, 2016)

Image matting in the perception granular deep learning. - Hong Hu 001; Liang Pang; Zhongzhi Shi (Knowl. Based Syst., 2016)

Locally Smoothed Neural Networks. - Liang Pang; Yanyan Lan; Jun Xu 001; Jiafeng Guo; Xueqi Cheng (ACML, 2017)

Learning Visual Features from Snapshots for Web Search. - Yixing Fan; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Liang Pang; Xueqi Cheng (CIKM, 2017)

DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. - Liang Pang; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Jingfang Xu; Xueqi Cheng (CIKM, 2017)

A novel anti-jamming method in wireless sensor networks: Using artificial noise to actively interfere the intelligent jammer. - Liang Pang; Zhi Xue (ICSAI, 2017)

A Novel Range-Free Jammer Localization Solution in Wireless Network by Using PSO Algorithm. - Liang Pang; Xiao Chen; Zhi Xue; Rida Khatoun (ICPCSEE (2), 2017)

Tracking the Mobile Jammer Continuously in Time by Using Moving Vector. - Liang Pang; Pengze Guo; Xiao Chen; Zhi Xue (ISCID (1), 2017)

MatchZoo: A Toolkit for Deep Text Matching. - Yixing Fan; Liang Pang; Jianpeng Hou; Jiafeng Guo; Yanyan Lan; Xueqi Cheng (CoRR, 2017)

A Deep Investigation of Deep IR Models. - Liang Pang; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (CoRR, 2017)

Localization of multiple jamming attackers in vehicular ad hoc network. - Liang Pang; Xiao Chen; Yong Shi 009; Zhi Xue; Rida Khatoun (Int. J. Distributed Sens. Networks, 2017)

RI-Match: Integrating Both Representations and Interactions for Deep Semantic Matching. - Lijuan Chen; Yanyan Lan; Liang Pang; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (AIRS, 2018)

Continual Match Based Training in Pommerman: Technical Report. - Peng Peng; Liang Pang; Yufeng Yuan; Chao Gao (CoRR, 2018)

HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. - Liang Pang; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Lixin Su; Xueqi Cheng (AAAI, 2019)

ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. - Hainan Zhang; Yanyan Lan; Liang Pang; Jiafeng Guo; Xueqi Cheng (ACL (1), 2019)

An Accurate and Efficient Yield Analysis for SRAM dynamic metrics Using Differential Evolution Algorithm. - Liang Pang; Yifan Chai; Mengyun Yao; Yaqing Men; Xuexiang Wang; Longxing Shi (ASICON, 2019)

New upper degree of freedom in transmission system based on wireless G-MIMO communication channel. - Xiao Chen; Liang Pang; Pengze Guo; Xingping Sun; Zhi Xue; N. Arunkumar (Clust. Comput., 2019)

Ranking Enhanced Dialogue Generation. - Changying Hao; Liang Pang; Yanyan Lan; Fei Sun 001; Jiafeng Guo; Xueqi Cheng (CIKM, 2020)

METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis. - Bin Jiang 006; Jing Hou; Wanyue Zhou; Chao Yang 015; Shihan Wang 001; Liang Pang (COLING, 2020)

PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation. - Bin Jiang 006; Wanyue Zhou; Jingxu Yang; Chao Yang 015; Shihan Wang 001; Liang Pang (COLING, 2020)

TYMER: A Yield-based Performance Model for Timing-speculation SRAM. - Shan Shen; Liang Pang; Tianxiang Shao; Ming Ling; Xiao Shi 001; Longxing Shi (DAC, 2020)

An Efficient SRAM yield Analysis Using Scaled-Sigma Adaptive Importance Sampling. - Liang Pang; Mengyun Yao; Yifan Chai (DATE, 2020)

Beyond Language: Learning Commonsense from Images for Reasoning. - Wanqing Cui; Yanyan Lan; Liang Pang; Jiafeng Guo; Xueqi Cheng (EMNLP (Findings), 2020)

Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. - Weijie Yu 003; Chen Xu 010; Jun Xu 001; Liang Pang; Xiaopeng Gao; Xiaozhao Wang; Ji-Rong Wen (EMNLP (1), 2020)

Bursty Event Detection via Multichannel Feature Alignment. - Guangsheng Kuang; Yan Guo; Yue Liu; Liang Pang; Zhihua Yu; Xueqi Cheng; Jinlong Liu; Xiaoming Yu (ICBDC, 2020)

Evaluating Natural Language Generation via Unbalanced Optimal Transport. - Yimeng Chen; Yanyan Lan; Ruibin Xiong; Liang Pang; Zhiming Ma; Xueqi Cheng (IJCAI, 2020)

Modeling Topical Relevance for Multi-Turn Dialogue Generation. - Hainan Zhang; Yanyan Lan; Liang Pang; Hongshen Chen; Zhuoye Ding; Dawei Yin (IJCAI, 2020)

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. - Liang Pang; Jun Xu 001; Qingyao Ai; Yanyan Lan; Xueqi Cheng; Jirong Wen (SIGIR, 2020)

L2R²: Leveraging Ranking for Abductive Reasoning. - Yunchang Zhu; Liang Pang; Yanyan Lan; Xueqi Cheng (SIGIR, 2020)

L2R2: Leveraging Ranking for Abductive Reasoning. - Yunchang Zhu; Liang Pang; Yanyan Lan; Xueqi Cheng (CoRR, 2020)

Robust Reinforcement Learning with Wasserstein Constraint. - Linfang Hou; Liang Pang; Xin Hong; Yanyan Lan; Zhiming Ma; Dawei Yin (CoRR, 2020)

A Deep Look into neural ranking models for information retrieval. - Jiafeng Guo; Yixing Fan; Liang Pang; Liu Yang 005; Qingyao Ai; Hamed Zamani; Chen Wu; W. Bruce Croft; Xueqi Cheng (Inf. Process. Manag., 2020)

Knowledge Augmented Dialogue Generation with Divergent Facts Selection. - Bin Jiang 006; Jingxu Yang; Chao Yang 015; Wanyue Zhou; Liang Pang; Xiaokang Zhou (Knowl. Based Syst., 2020)

Sketch and Customize: A Counterfactual Story Generator. - Changying Hao; Liang Pang; Yanyan Lan; Yan Wang; Jiafeng Guo; Xueqi Cheng (AAAI, 2021)

Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. - Liang Pang; Yanyan Lan; Xueqi Cheng (CIKM, 2021)

Transformation Driven Visual Reasoning. - Xin Hong; Yanyan Lan; Liang Pang; Jiafeng Guo; Xueqi Cheng (CVPR, 2021)

Transductive Learning for Unsupervised Text Style Transfer. - Fei Xiao; Liang Pang; Yanyan Lan; Yan Wang; Huawei Shen; Xueqi Cheng (EMNLP (1), 2021)

Adaptive Information Seeking for Open-Domain Question Answering. - Yunchang Zhu; Liang Pang; Yanyan Lan; Huawei Shen; Xueqi Cheng (EMNLP (1), 2021)

Uncertainty Calibration for Ensemble-Based Debiasing Methods. - Ruibin Xiong; Yimeng Chen; Liang Pang; Xueqi Cheng; Zhi-Ming Ma; Yanyan Lan (NeurIPS, 2021)

Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. - Liang Pang; Qingyao Ai; Jun Xu 001 (SIGIR, 2021)

A Spline-High Dimensional Model Representation for SRAM Yield Estimation in High Sigma and High Dimensional Scenarios. - Liang Pang; Shan Shen; Mengyun Yao (IEEE Access, 2021)

Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm. - Lin Bo; Liang Pang; Gang Wang 056; Jun Xu 001; XiuQiang He 001; Ji-Rong Wen (CoRR, 2021)

Toward the Understanding of Deep Text Matching Models for Information Retrieval. - Lijuan Chen; Yanyan Lan; Liang Pang; Jiafeng Guo; Xueqi Cheng (CoRR, 2021)

Uncertainty Calibration for Ensemble-Based Debiasing Methods. - Ruibin Xiong; Yimeng Chen; Liang Pang; Xueqi Cheng; Yanyan Lan (CoRR, 2021)

Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. - Shicheng Xu; Liang Pang; Huawei Shen; Xueqi Cheng (CIKM, 2022)

Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. - Weijie Yu 003; Liang Pang; Jun Xu 001; Bing Su 001; Zhenhua Dong; Ji-Rong Wen (COLING, 2022)

Region-based Cross-modal Retrieval. - Dan Yang Hou; Liang Pang; Yanyan Lan; Huawei Shen; Xueqi Cheng (IJCNN, 2022)

Dual-Channel Localization Networks for Moment Retrieval with Natural Language. - Bolin Zhang; Bin Jiang 006; Chao Yang 015; Liang Pang (ICMR, 2022)

LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. - Yunchang Zhu; Liang Pang; Yanyan Lan; Huawei Shen; Xueqi Cheng (SIGIR, 2022)

Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. - Shicheng Xu; Liang Pang; Huawei Shen; Xueqi Cheng (CoRR, 2022)

Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. - Weijie Yu 003; Chen Xu 010; Jun Xu 001; Liang Pang; Ji-Rong Wen (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation. - Pingsheng Liu; Zhengjie Huang; Xiechi Zhang; Linlin Wang; Gerard de Melo; Xin Lin 001; Liang Pang; Liang He 001 (AAAI, 2023)

BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. - Shicheng Xu; Liang Pang; Huawei Shen; Xueqi Cheng (ACL (1), 2023)

SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. - Junkai Zhou; Liang Pang; Huawei Shen; Xueqi Cheng (ACL (1), 2023)

Design and Improvement of Airborne Ocean Radar Fault Detection Algorithm. - Liang Pang (ADHIP (2), 2023)

Numerical Simulation Model Construction of Swept Frequency Dielectric Logging Response Based on Wireless Communication. - Liang Pang (ADHIP (2), 2023)

RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. - Jingcheng Deng; Liang Pang; Huawei Shen; Xueqi Cheng (EMNLP (Findings), 2023)

MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. - Hanxing Ding; Liang Pang; Zihao Wei; Huawei Shen; Xueqi Cheng; Tat-Seng Chua (EMNLP (Findings), 2023)

LLMDet: A Third Party Large Language Models Generated Text Detection Tool. - Kangxi Wu; Liang Pang; Huawei Shen; Xueqi Cheng; Tat-Seng Chua (EMNLP (Findings), 2023)

Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. - Chenxu Yang; Zheng Lin 001; Lanrui Wang; Chong Tian; Liang Pang; Jiangnan Li; Qirong Ho; Yanan Cao 001; Weiping Wang 005 (EMNLP, 2023)

PLV-IEKF: Consistent Visual-Inertial Odometry using Points, Lines, and Vanishing Points. - Tong Hua; Tao Li 052; Liang Pang; Guoqing Liu; Wencheng Xuanyuan; Chang Shu; Ling Pei (ROBIO, 2023)

Multi-video Moment Ranking with Multimodal Clue. - Dan Yang Hou; Liang Pang; Yanyan Lan; Huawei Shen; Xueqi Cheng (CoRR, 2023)

Search-in-the-Chain: Towards the Accurate, Credible and Traceable Content Generation for Complex Knowledge-intensive Tasks. - Shicheng Xu; Liang Pang; Huawei Shen; Xueqi Cheng; Tat-Seng Chua (CoRR, 2023)

Visual Transformation Telling. - Xin Hong; Yanyan Lan; Liang Pang; Jiafeng Guo; Xueqi Cheng (CoRR, 2023)

LLMDet: A Large Language Models Detection Tool. - Kangxi Wu; Liang Pang; Huawei Shen; Xueqi Cheng; Tat-Seng Chua (CoRR, 2023)

LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts. - Sunhao Dai; Yuqi Zhou 001; Liang Pang; Weihao Liu; Xiaolin Hu; Yong Liu 018; Xiao Zhang 034; Jun Xu 001 (CoRR, 2023)

Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study. - Chen Xu 010; Wenjie Wang 007; Yuxin Li; Liang Pang; Jun Xu 001; Tat-Seng Chua (CoRR, 2023)

De-fine: Decomposing and Refining Visual Programs with Auto-Feedback. - Minghe Gao; Juncheng Li 006; Hao Fei 001; Liang Pang; Wei Ji 008; Guoming Wang; Wenqiao Zhang; Siliang Tang; Yueting Zhuang (CoRR, 2023)

AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval. - Shicheng Xu; Danyang Hou; Liang Pang; Jingcheng Deng; Jun Xu 001; Huawei Shen; Xueqi Cheng (CoRR, 2023)

Structured, Complex and Time-complete Temporal Event Forecasting. - Yunshan Ma; Chenchen Ye 001; Zijian Wu 003; Xiang Wang 010; Yixin Cao 002; Liang Pang; Tat-Seng Chua (CoRR, 2023)

Research on a Precision Calibration Model of a Flexible Strain Sensor Based on a Variable Section Cantilever Beam. - Qi Wang; Jianjun Cui; Yanhong Tang; Liang Pang; Kai Chen; Baowu Zhang (Sensors, 2023)

An efficient SRAM yield analysis method based on scaled-sigma adaptive importance sampling with meta-model accelerated. - Liang Pang; Ziqi Wang; Rui Shi; Mengyun Yao; Xiao Shi 001; Hao Yan 002; Longxin Shi (Integr., 2023)

CharTM: The dynamic stability characterization for memory based on tail distribution modeling. - Liang Pang; Mengyun Yao; Xiao Shi 001; Hao Yan 002; Longxin Shi (Microelectron. J., 2023)

Visual Reasoning: From State to Transformation. - Xin Hong; Yanyan Lan; Liang Pang; Jiafeng Guo; Xueqi Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. - Sunhao Dai; Weihao Liu; Yuqi Zhou 001; Liang Pang; Rongju Ruan; Gang Wang 056; Zhenhua Dong; Jun Xu 001; Ji-Rong Wen (ACL (Findings), 2024)

Plot Retrieval as an Assessment of Abstract Semantic Association. - Shicheng Xu; Liang Pang; Jiangnan Li; Mo Yu; Fandong Meng; Huawei Shen; Xueqi Cheng; Jie Zhou 016 (ACL (Student Research Workshop), 2024)

Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. - Shicheng Xu; Liang Pang; Mo Yu; Fandong Meng; Huawei Shen; Xueqi Cheng; Jie Zhou 016 (ACL (1), 2024)

Beyond Memorization: The Challenge of Random Memory Access in Language Models. - Tongyao Zhu; Qian Liu 012; Liang Pang; Zhengbao Jiang; Min-Yen Kan; Min Lin (ACL (1), 2024)

Qsnail: A Questionnaire Dataset for Sequential Question Generation. - Yan Lei; Liang Pang; Yuanzhuo Wang; Huawei Shen; Xueqi Cheng (LREC/COLING, 2024)

HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data. - Qifan Yu; Juncheng Li 006; Longhui Wei; Liang Pang; Wentao Ye; Bosheng Qin; Siliang Tang; Qi Tian 001; Yueting Zhuang (CVPR, 2024)

A Study of Implicit Ranking Unfairness in Large Language Models. - Chen Xu 010; Wenjie Wang 007; Yuxin Li; Liang Pang; Jun Xu 001; Tat-Seng Chua (EMNLP (Findings), 2024)

Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. - Kangxi Wu; Liang Pang; Huawei Shen; Xueqi Cheng (EMNLP, 2024)

Thermal-NeRF: Neural Radiance Fields from an Infrared Camera. - Tianxiang Ye; Qi Wu 007; Junyuan Deng; Guoqing Liu; Liu Liu 012; Songpengcheng Xia; Liang Pang; Wenxian Yu; Ling Pei (IROS, 2024)

Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era. - Sunhao Dai; Chen Xu 010; Shicheng Xu; Liang Pang; Zhenhua Dong; Jun Xu 001 (KDD, 2024)

Neural Retrievers are Biased Towards LLM-Generated Content. - Sunhao Dai; Yuqi Zhou 001; Liang Pang; Weihao Liu; Xiaolin Hu; Yong Liu 018; Xiao Zhang 034; Gang Wang 056; Jun Xu 001 (KDD, 2024)

Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. - Danyang Hou; Liang Pang; Huawei Shen; Xueqi Cheng (ICMR, 2024)

De-fine: Decomposing and Refining Visual Programs with Auto-Feedback. - Minghe Gao; Juncheng Li 006; Hao Fei 001; Liang Pang; Wei Ji 008; Guoming Wang; Zheqi Lv; Wenqiao Zhang; Siliang Tang; Yueting Zhuang (ACM Multimedia, 2024)

Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales. - Minghe Gao; Shuang Chen; Liang Pang; Yuan Yao 013; Jisheng Dang; Wenqiao Zhang; Juncheng Li 006; Siliang Tang; Yueting Zhuang; Tat-Seng Chua (ACM Multimedia, 2024)

Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue. - Junkai Zhou; Liang Pang; Huawei Shen; Xueqi Cheng (NAACL-HLT (Findings), 2024)

Information-Controllable Graph Contrastive Learning for Recommendation. - Zirui Guo; Yanhua Yu; Yuling Wang; Kangkang Lu 002; Zixuan Yang; Liang Pang; Tat-Seng Chua (RecSys, 2024)

A Taxation Perspective for Fair Re-ranking. - Chen Xu 010; Xiaopeng Ye; Wenjie Wang 007; Liang Pang; Jun Xu 001; Tat-Seng Chua (SIGIR, 2024)

Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. - Shicheng Xu; Danyang Hou; Liang Pang; Jingcheng Deng; Jun Xu 001; Huawei Shen; Xueqi Cheng (SIGIR, 2024)

Can Small Language Models be Good Reasoners for Sequential Recommendation? - Yuling Wang; Changxin Tian; Binbin Hu; Yanhua Yu; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011; Liang Pang; Xiao Wang 017 (WWW, 2024)

Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. - Shicheng Xu; Liang Pang; Huawei Shen; Xueqi Cheng; Tat-Seng Chua (WWW, 2024)

List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. - Shicheng Xu; Liang Pang; Jun Xu 001; Huawei Shen; Xueqi Cheng (WWW, 2024)

Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models. - Hanxing Ding; Liang Pang; Zihao Wei; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Stable Knowledge Editing in Large Language Models. - Zihao Wei; Liang Pang; Hanxing Ding; Jingcheng Deng; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Event-aware Video Corpus Moment Retrieval. - Danyang Hou; Liang Pang; Huawei Shen; Xueqi Cheng (CoRR, 2024)

GraphEdit: Large Language Models for Graph Structure Learning. - Zirui Guo; Lianghao Xia; Yanhua Yu; Yuling Wang; Zixuan Yang; Wei Wei 027; Liang Pang; Tat-Seng Chua; Chao Huang 001 (CoRR, 2024)

Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent. - Junkai Zhou; Liang Pang; Ya Jing; Jia Gu; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models. - Sunhao Dai; Chen Xu 010; Shicheng Xu; Liang Pang; Zhenhua Dong; Jun Xu 001 (CoRR, 2024)

A Survey of Generative Search and Recommendation in the Era of Large Language Models. - Yongqi Li 001; Xinyu Lin 001; Wenjie Wang 007; Fuli Feng; Liang Pang; Wenjie Li 002; Liqiang Nie; Xiangnan He 001; Tat-Seng Chua (CoRR, 2024)

UnKE: Unstructured Knowledge Editing in Large Language Models. - Jingcheng Deng; Zihao Wei; Liang Pang; Hanxing Ding; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. - Yuqi Zhou 001; Sunhao Dai; Liang Pang; Gang Wang 056; Zhenhua Dong; Jun Xu 001; Ji-Rong Wen (CoRR, 2024)

Unveil the Duality of Retrieval-Augmented Generation: Theoretical Analysis and Practical Solution. - Shicheng Xu; Liang Pang; Huawei Shen; Xueqi Cheng (CoRR, 2024)

A Factuality and Diversity Reconciled Decoding Method for Knowledge-Grounded Dialogue Generation. - Chenxu Yang; Zheng Lin 001; Chong Tian; Liang Pang; Lanrui Wang; Zhengyang Tong; Qirong Ho; Yanan Cao 001; Weiping Wang 005 (CoRR, 2024)

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models. - Qianchi Zhang; Hainan Zhang; Liang Pang; Hongwei Zheng 007; Zhiming Zheng 001 (CoRR, 2024)

Integration mixer: An efficient mixed neural network for memory dynamic stability analysis in high dimensional variation space. - Bowen Jiang; Liang Pang; Feng Liu (Integr., 2024)

NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. - Shicheng Xu; Liang Pang; Huawei Shen; Xueqi Cheng (ACM Trans. Inf. Syst., 2024)

Efficient Memory Circuits Yield Analysis and Optimization Framework via Meta-Learning. - Ziqi Wang; Liang Pang; Xiao Shi 001; Longxing Shi (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. - Yunchang Zhu; Liang Pang; Kangxi Wu; Yanyan Lan; Huawei Shen; Xueqi Cheng (ACM Trans. Inf. Syst., 2024)

LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph. - Tu Ao; Yanhua Yu; Yuling Wang; Yang Deng 002; Zirui Guo; Liang Pang; Pinghui Wang; Tat-Seng Chua; Xiao Zhang; Zhen Cai (AAAI, 2025)

MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models. - Yujing Wang; Hainan Zhang; Liang Pang; Binghui Guo; Hongwei Zheng 007; Zhiming Zheng 001 (AAAI, 2025)

ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models. - Hanxing Ding; Shuchang Tao; Liang Pang; Zihao Wei; Jinyang Gao; Bolin Ding; Huawei Shen; Xueqi Cheng (ACL (1), 2025)

Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation. - Jia Gu; Liang Pang; Huawei Shen; Xueqi Cheng (COLING, 2025)

MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. - Zihao Wei; Jingcheng Deng; Liang Pang; Hanxing Ding; Huawei Shen; Xueqi Cheng (COLING, 2025)

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation. - Chen Xu 010; Yuxin Li; Wenjie Wang 007; Liang Pang; Jun Xu 001; Tat-Seng Chua (ICLR, 2025)

Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models. - Jingcheng Deng; Zihao Wei; Liang Pang; Hanxing Ding; Huawei Shen; Xueqi Cheng (ICLR, 2025)

Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. - Haoyu Wang; Sunhao Dai; Haiyuan Zhao; Liang Pang; Xiao Zhang 034; Gang Wang 056; Zhenhua Dong; Jun Xu 001; Ji-Rong Wen (ICLR, 2025)

A Theory for Token-Level Harmonization in Retrieval-Augmented Generation. - Shicheng Xu; Liang Pang; Huawei Shen; Xueqi Cheng (ICLR, 2025)

Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models. - Shicheng Xu; Liang Pang; Yunchang Zhu; Huawei Shen; Xueqi Cheng (ICLR, 2025)

Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. - Yuqi Zhou 001; Sunhao Dai; Liang Pang; Gang Wang 056; Zhenhua Dong; Jun Xu 001; Ji-Rong Wen (SIGIR, 2025)

Unveiling Knowledge Boundary of Large Language Models for Trustworthy Information Access. - Yang Deng 002; Moxin Li; Liang Pang; Wenxuan Zhang 001; Wai Lam (SIGIR, 2025)

Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics. - Chen Xu 010; Jujia Zhao; Wenjie Wang 007; Liang Pang; Jun Xu 001; Tat-Seng Chua; Maarten de Rijke (SIGIR, 2025)

Mitigating Source Bias with LLM Alignment. - Sunhao Dai; Yuqi Zhou 001; Liang Pang; Zhuoyang Li; Zhaocheng Du; Gang Wang 056; Jun Xu 001 (SIGIR, 2025)

NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. - Sunhao Dai; Wenjie Wang 007; Liang Pang; Jun Xu 001; See-Kiong Ng; Ji-Rong Wen; Tat-Seng Chua (SIGIR, 2025)

Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era. - Sunhao Dai; Chen Xu 010; Shicheng Xu; Liang Pang; Zhenhua Dong; Jun Xu 001 (WSDM, 2025)

Efficient high dimensional yield analysis for SRAM circuits via stack model and adaptive sampling. - Kaijie Li; Liang Pang; Xudong Zhang; Yutao Miao; Yushi Zhang (Integr., 2025)

Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos. - Haowen Gao; Liang Pang; Shicheng Xu; Leigang Qu; Tat-Seng Chua; Huawei Shen; Xueqi Cheng (CoRR, 2025)

Revisiting Robust RAG: Do We Still Need Complex Robust Training in the Era of Powerful LLMs? - Hanxing Ding; Shuchang Tao; Liang Pang; Zihao Wei; Liwei Chen; Kun Xu; Huawei Shen; Xueqi Cheng (CoRR, 2025)

Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment. - Jingcheng Deng; Zhongtao Jiang; Liang Pang; Liwei Chen; Kun Xu; Zihao Wei; Huawei Shen; Xueqi Cheng (CoRR, 2025)

FineFilter: A Fine-grained Noise Filtering Mechanism for Retrieval-Augmented Large Language Models. - Qianchi Zhang; Hainan Zhang; Liang Pang; Hongwei Zheng 007; Yongxin Tong; Zhiming Zheng 001 (CoRR, 2025)

Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models. - Yujing Wang; Hainan Zhang; Liang Pang; Yongxin Tong; Binghui Guo; Hongwei Zheng 007; Zhiming Zheng 001 (CoRR, 2025)

Distilling the Implicit Multi-Branch Structure in LLMs' Reasoning via Reinforcement Learning. - Shicheng Xu; Liang Pang; Yunchang Zhu; Jia Gu; Zihao Wei; Jingcheng Deng; Feiyang Pan; Huawei Shen; Xueqi Cheng (CoRR, 2025)

GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace. - Zenghao Duan; Zhiyi Yin; Zhichao Shi 001; Liang Pang; Shaoling Jing; Jiayi Wu; Yu Yan; Huawei Shen; Xueqi Cheng (CoRR, 2025)

Reverse Physician-AI Relationship: Full-process Clinical Diagnosis Driven by a Large Language Model. - Shicheng Xu; Xin Huang; Zihao Wei; Liang Pang; Huawei Shen; Xueqi Cheng (CoRR, 2025)