Chenliang Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
121
Venues
22
Active years
2011–2026
Best venue rank
A*
Where they publish
- A*SIGIR32 papers
- A*ACL18 papers
- ACIKM18 papers
- A*EMNLP9 papers
- A*AAAI6 papers
- A*WWW5 papers
- BCOLING5 papers
- A*IJCAI5 papers
- AWSDM5 papers
- A*KDD3 papers
- A*ICDE2 papers
- AECIR2 papers
- A*ICCV2 papers
- AAISTATS1 paper
- A*ICLR1 paper
- UnrankedCoRL1 paper
- A*ICML1 paper
- UnrankedICTIR1 paper
- BIJCNLP1 paper
- CPKAW1 paper
- A*INFOCOM1 paper
- ANAACL1 paper
Papers
121 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | ProFuser: Progressive Fusion of Large Language Models. | Tianyuan Shi, Fanqi Wan, Canbin Huang, Xiaojun Quan, Chenliang Li, Ming Yan, Ji Zhang, Minhua Huang, Wu Kai |
| 2026 | ACL | Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning. | Xuanyu Lei, Chenliang Li, Yuning Wu, Kaiming Liu, Weizhou Shen, Peng Li, Ming Yan, Fei Huang, Ya-Qin Zhang, Yang Liu |
| 2026 | ACL | Learning to Translate by Translating: Stabilizing the Dual Loop via Semantic-Aware Self-Evolution. | Kui Liu, Mingming Yin, Zuoli Tang, Zihao Li, Chilin Fu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li |
| 2026 | ACL | MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding. | Fuwen Luo, Shengfeng Lou, Chi Chen, Ziyue Wang, Chenliang Li, Weizhou Shen, Jiyue Guo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu |
| 2026 | ACL | Incentivizing In-depth Reasoning over Long Contexts with Process Advantage Shaping. | Miao Peng, Weizhou Shen, Nuo Chen, Chenliang Li, Ming Yan, Jia Li |
| 2026 | KDD | Q-Regularized Generative Auto-Bidding: From Suboptimal Trajectories to Optimal Policies. | Mingming Zhang, Na Li, Feiqing Zhuang, Hongyang Zheng, Jiangbing Zhou, Wuyin Wang, Shengjie Sun, Xiaowei Chen, Junxiong Zhu, Lixin Zou, Chenliang Li |
| 2026 | WWW | Scaling Collaborative Filtering with Multimodal Contrastive Fine-tuning. | Liwei Jin, Dan Luo, Lixin Zou, Chenliang Li, Xiangyang Luo, Xixun Lin, Liming Dong, Yifan Zhang |
| 2026 | SIGIR | Generative Auto-Bidding with Unified Modeling and Exploration. | Mingming Zhang, Feiqing Zhuang, Na Li, Shengjie Sun, Xiaowei Chen, Junxiong Zhu, Fei Xiao, Keping Yang, Lixin Zou, Chenliang Li |
| 2025 | ACL | Token-level Preference Self-Alignment Optimization for Multi-style Outline Controllable Generation. | Zihao Li, Xuekong Xu, Ziyao Chen, Lixin Zou, Ethanhjwu Ethanhjwu, Qiang Chen, Chenliang Li |
| 2025 | ACL | Weak-to-Strong Honesty Alignment via Learning-to-Rank Supervision. | Yunfan Xie, Lixin Zou, Dan Luo, Min Tang, Chenliang Li |
| 2025 | ACL | AIGuard: A Benchmark and Lightweight Detection for E-commerce AIGC Risks. | Wenhua Zhang, Weicheng Li, Xuanrong Rao, Lixin Zou, Xiangyang Luo, Chubin Zhuang, Yongjie Hong, Zhen Qin, Hengyun Chang, Chenliang Li, Bo Zheng |
| 2025 | AISTATS | Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality. | Ruijia Zhang, Siliang Zeng, Chenliang Li, Alfredo Garca, Mingyi Hong |
| 2025 | COLING | META-LORA: Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models. | Weicheng Li, Lixin Zou, Min Tang, Qing Yu, Wanli Li, Chenliang Li |
| 2025 | COLING | Mitigating Language Confusion through Inference-time Intervention. | Yunfan Xie, Lixin Zou, Dan Luo, Min Tang, Chenliang Li, Liming Dong, Xiangyang Luo |
| 2025 | EMNLP | CharacterCraft: Bridging the Literature-Reality Dialogue Gap for Practical Role-Playing Agents. | Xuyan Yin, Xinran Yang, Zihao Li, Lixin Zou, Chenliang Li |
| 2025 | ICLR | Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment. | Chenliang Li, Siliang Zeng, Zeyi Liao, Jiaxiang Li, Dongyeop Kang, Alfredo Garca, Mingyi Hong |
| 2025 | IJCAI | Flow Matching Based Sequential Recommender Model. | Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li |
| 2025 | SIGIR | Towards Accurate Social User Geolocation: Mean Shift, Incremental Learning and Graph Convolutional Networks. | Yaqiong Qiao, Aobo Jiao, Xiangyang Luo, Chenliang Li, Jiangtao Ma, Chenkai Guo |
| 2024 | AAAI | Dependency Structure-Enhanced Graph Attention Networks for Event Detection. | Qizhi Wan, Changxuan Wan, Keli Xiao, Kun Lu, Chenliang Li, Xiping Liu, Dexi Liu |
| 2024 | ACL | SocialBench: Sociality Evaluation of Role-Playing Conversational Agents. | Hongzhan Chen, Hehong Chen, Ming Yan, Wenshen Xu, Gao Xing, Weizhou Shen, Xiaojun Quan, Chenliang Li, Ji Zhang, Fei Huang |
| 2024 | ACL | Efficient Sparse Attention needs Adaptive Token Release. | Chaoran Zhang, Lixin Zou, Dan Luo, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li |
| 2024 | CIKM | Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation. | Zihao Li, Xuekong Xu, Zuoli Tang, Lixin Zou, Qian Wang, Chenliang Li |
| 2024 | CIKM | TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference. | Zuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li |
| 2024 | COLING | Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training. | Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu |
| 2024 | COLING | Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval. | Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu |
| 2024 | EMNLP | Small LLMs Are Weak Tool Learners: A Multi-LLM Agent. | Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, Fei Huang |
| 2024 | ICDE | LT | Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li |
| 2024 | SIGIR | Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. | Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan |
| 2024 | SIGIR | Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. | Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison |
| 2024 | WSDM | Contextual MAB Oriented Embedding Denoising for Sequential Recommendation. | Zhichao Feng, Pengfei Wang, Kaiyuan Li, Chenliang Li, Shangguang Wang |
| 2024 | WSDM | Unified Visual Preference Learning for User Intent Understanding. | Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li |
| 2023 | ACL | Joint Document-Level Event Extraction via Token-Token Bidirectional Event Completed Graph. | Qizhi Wan, Changxuan Wan, Keli Xiao, Dexi Liu, Chenliang Li, Bolong Zheng, Xiping Liu, Rong Hu |
| 2023 | ACL | Transforming Visual Scene Graphs to Image Captions. | Xu Yang, Jiawei Peng, Zihua Wang, Haiyang Xu, Qinghao Ye, Chenliang Li, Songfang Huang, Fei Huang, Zhangzikang Li, Yu Zhang |
| 2023 | CIKM | Tutorial: Data Denoising Metrics in Recommender Systems. | Pengfei Wang, Chenliang Li, Lixin Zou, Zhichao Feng, Kaiyuan Li, Xiaochen Li, Xialong Liu, Shangguang Wang |
| 2023 | CIKM | Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval. | Bulou Liu, Yiran Hu, Qingyao Ai, Yiqun Liu, Yueyue Wu, Chenliang Li, Weixing Shen |
| 2023 | CoRL | A Bayesian Approach to Robust Inverse Reinforcement Learning. | Ran Wei, Siliang Zeng, Chenliang Li, Alfredo Garca, Anthony D. McDonald, Mingyi Hong |
| 2023 | ECIR | Investigating Conversational Agent Action in Legal Case Retrieval. | Bulou Liu, Yiran Hu, Yueyue Wu, Yiqun Liu, Fan Zhang, Chenliang Li, Min Zhang, Shaoping Ma, Weixing Shen |
| 2023 | EMNLP | ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models. | Chenliang Li, He Chen, Ming Yan, Weizhou Shen, Haiyang Xu, Zhikai Wu, Zhicheng Zhang, Wenmeng Zhou, Yingda Chen, Chen Cheng, Hongzhu Shi, Ji Zhang, Fei Huang, Jingren Zhou |
| 2023 | EMNLP | UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model. | Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian, Ji Zhang, Qin Jin, Liang He, Xin Lin, Fei Huang |
| 2023 | ICCV | BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization. | Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang |
| 2023 | ICCV | Learning Trajectory-Word Alignments for Video-Language Tasks. | Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang |
| 2023 | ICDE | A Survey on Deep Learning for Named Entity Recognition : Extended Abstract. | Jing Li, Aixin Sun, Jianglei Han, Chenliang Li |
| 2023 | ICML | mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. | Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou |
| 2023 | WWW | Beyond Two-Tower: Attribute Guided Representation Learning for Candidate Retrieval. | Hongyu Shan, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Chenliang Li |
| 2023 | SIGIR | Towards Multi-Interest Pre-training with Sparse Capsule Network. | Zuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li |
| 2023 | SIGIR | Multi-Scenario Ranking with Adaptive Feature Learning. | Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li |
| 2023 | SIGIR | Poisoning Self-supervised Learning Based Sequential Recommendations. | Yanling Wang, Yuchen Liu, Qian Wang, Cong Wang, Chenliang Li |
| 2022 | CIKM | Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation. | Guipeng Xv, Xinyi Liu, Chen Lin, Hui Li, Chenliang Li, Zhenhua Huang |
| 2022 | CIKM | Cross-Domain Product Search with Knowledge Graph. | Rui Zhu, Yiming Zhao, Wei Qu, Zhongyi Liu, Chenliang Li |
| 2022 | COLING | Adaptive Feature Discrimination and Denoising for Asymmetric Text Matching. | Yan Li, Chenliang Li, Junjun Guo |
| 2022 | EMNLP | TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection. | Chaoya Jiang, Haiyang Xu, Chenliang Li, Ming Yan, Wei Ye, Shikun Zhang, Bin Bi, Songfang Huang |
| 2022 | EMNLP | mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. | Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, He Chen, Guohai Xu, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou, Luo Si |
| 2022 | IJCAI | Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis. | Hao Fei, Fei Li, Chenliang Li, Shengqiong Wu, Jingye Li, Donghong Ji |
| 2022 | IJCAI | Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction. | Hao Fei, Jingye Li, Shengqiong Wu, Chenliang Li, Donghong Ji, Fei Li |
| 2022 | ICTIR | Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective. | Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li |
| 2022 | KDD | Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. | Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li |
| 2022 | WWW | Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation. | Teng-Yue Han, Pengfei Wang, Shaozhang Niu, Chenliang Li |
| 2022 | SIGIR | Mutual Disentanglement Learning for Joint Fine-Grained Sentiment Classification and Controllable Text Generation. | Hao Fei, Chenliang Li, Donghong Ji, Fei Li |
| 2022 | SIGIR | User-Aware Multi-Interest Learning for Candidate Matching in Recommenders. | Zheng Chai, Zhihong Chen, Chenliang Li, Rong Xiao, Houyi Li, Jiawei Wu, Jingxu Chen, Haihong Tang |
| 2022 | SIGIR | Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders. | Zhihong Chen, Jiawei Wu, Chenliang Li, Jingxu Chen, Rong Xiao, Binqiang Zhao |
| 2022 | SIGIR | An Attribute-Driven Mirror Graph Network for Session-based Recommendation. | Siqi Lai, Erli Meng, Fan Zhang, Chenliang Li, Bin Wang, Aixin Sun |
| 2022 | SIGIR | Multi-Agent RL-based Information Selection Model for Sequential Recommendation. | Kaiyuan Li, Pengfei Wang, Chenliang Li |
| 2022 | SIGIR | When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation. | Yu Tian, Jianxin Chang, Yanan Niu, Yang Song, Chenliang Li |
| 2022 | SIGIR | Is News Recommendation a Sequential Recommendation Task? | Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang |
| 2022 | SIGIR | Knowledge Graph Contrastive Learning for Recommendation. | Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li |
| 2022 | SIGIR | Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. | Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin |
| 2022 | SIGIR | Automatic Expert Selection for Multi-Scenario and Multi-Task Search. | Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, Aixin Sun |
| 2021 | AAAI | A Unified Pretraining Framework for Passage Ranking and Expansion. | Ming Yan, Chenliang Li, Bin Bi, Wei Wang, Songfang Huang |
| 2021 | ACL | StructuralLM: Structural Pre-training for Form Understanding. | Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si |
| 2021 | ACL | Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction. | Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang |
| 2021 | ACL | E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning. | Haiyang Xu, Ming Yan, Chenliang Li, Bin Bi, Songfang Huang, Wenming Xiao, Fei Huang |
| 2021 | CIKM | Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation. | Yiyu Liu, Qian Liu, Yu Tian, Changping Wang, Yanan Niu, Yang Song, Chenliang Li |
| 2021 | CIKM | HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data. | Zhong Yang, Bolong Zheng, Chengdong Tong, Lianggui Weng, Chenliang Li, Guohui Li |
| 2021 | IJCAI | Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation. | Xiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, Shaozhang Niu |
| 2021 | SIGIR | Adapted Graph Reasoning and Filtration for Description-Image Retrieval. | Shiqian Chen, Zhiling Luo, Yingqi Gao, Wei Zhou, Chenliang Li, Haiqing Chen |
| 2021 | SIGIR | Path-based Deep Network for Candidate Item Matching in Recommenders. | Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang |
| 2021 | SIGIR | Conversational vs Traditional: Comparing Search Behavior and Outcome in Legal Case Retrieval. | Bulou Liu, Yueyue Wu, Yiqun Liu, Fan Zhang, Yunqiu Shao, Chenliang Li, Min Zhang, Shaoping Ma |
| 2021 | SIGIR | The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation. | Yuqi Qin, Pengfei Wang, Chenliang Li |
| 2021 | SIGIR | Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation. | Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li |
| 2021 | SIGIR | AliMe DA: A Data Augmentation Framework for Question Answering in Cold-start Scenarios. | Guohai Xu, Yan Shao, Chenliang Li, Feng-Lin Li, Bin Bi, Ji Zhang, Haiqing Chen |
| 2021 | WSDM | Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. | Xichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao, Hongbo Deng |
| 2020 | AAAI | Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks. | Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li |
| 2020 | AAAI | CASE: Context-Aware Semantic Expansion. | Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi |
| 2020 | ACL | Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. | Yu Duan, Canwen Xu, Jiaxin Pei, Jialong Han, Chenliang Li |
| 2020 | ACL | Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification. | Hao Tang, Donghong Ji, Chenliang Li, Qiji Zhou |
| 2020 | ACL | MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization. | Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li |
| 2020 | CIKM | Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce. | Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Honggang Wang, Hongbo Deng, Zhenzhong Chen |
| 2020 | EMNLP | PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation. | Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si |
| 2020 | IJCNLP | UnihanLM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database. | Canwen Xu, Tao Ge, Chenliang Li, Furu Wei |
| 2020 | KDD | A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce. | Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Hongbo Deng, Zhenzhong Chen |
| 2020 | WWW | PARS: Peers-aware Recommender System. | Huiqiang Mao, Yanzhi Li, Chenliang Li, Di Chen, Xiaoqing Wang, Yuming Deng |
| 2020 | SIGIR | ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. | Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng |
| 2020 | SIGIR | A Re-visit of the Popularity Baseline in Recommender Systems. | Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li |
| 2020 | SIGIR | CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. | Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun |
| 2020 | WSDM | Context-aware Deep Model for Joint Mobility and Time Prediction. | Yile Chen, Cheng Long, Gao Cong, Chenliang Li |
| 2019 | AAAI | Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding. | Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan |
| 2019 | CIKM | A Deep Neural Framework for Sales Forecasting in E-Commerce. | Yan Qi, Chenliang Li, Han Deng, Min Cai, Yunwei Qi, Yuming Deng |
| 2019 | CIKM | Exploiting Multiple Embeddings for Chinese Named Entity Recognition. | Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li |
| 2019 | CIKM | Cross-Domain Recommendation via Preference Propagation GraphNet. | Cheng Zhao, Chenliang Li, Cong Fu |
| 2019 | EMNLP | Incorporating External Knowledge into Machine Reading for Generative Question Answering. | Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li |
| 2019 | IJCAI | A Review-Driven Neural Model for Sequential Recommendation. | Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan |
| 2019 | PKAW | Network Embedding via Link Strength Adjusted Random Walk. | Chenliang Li, Donghai Guan, Weiwei Yuan |
| 2019 | WWW | DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. | Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji |
| 2019 | SIGIR | A Capsule Network for Recommendation and Explaining What You Like and Dislike. | Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu |
| 2019 | WSDM | Review-Driven Answer Generation for Product-Related Questions in E-Commerce. | Shiqian Chen, Chenliang Li, Feng Ji, Wei Zhou, Haiqing Chen |
| 2018 | ACL | A Deep Relevance Model for Zero-Shot Document Filtering. | Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen |
| 2018 | CIKM | Dataless Text Classification: A Topic Modeling Approach with Document Manifold. | Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Chenliang Li |
| 2018 | CIKM | PARL: Let Strangers Speak Out What You Like. | Libing Wu, Cong Quan, Chenliang Li, Donghong Ji |
| 2018 | EMNLP | S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information. | Jiaxin Pei, Chenliang Li |
| 2018 | INFOCOM | InstantCryptoGram: Secure Image Retrieval Service. | Minghui Li, Mingxue Zhang, Qian Wang, Sherman S. M. Chow, Minxin Du, Yanjiao Chen, Chenliang Li |
| 2018 | NAACL | Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network. | Chenliang Li, Weiran Xu, Si Li, Sheng Gao |
| 2017 | CIKM | Modeling Language Discrepancy for Cross-Lingual Sentiment Analysis. | Qiang Chen, Chenliang Li, Wenjie Li |
| 2017 | CIKM | NeuPL: Attention-based Semantic Matching and Pair-Linking for Entity Disambiguation. | Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li |
| 2016 | CIKM | Effective Document Labeling with Very Few Seed Words: A Topic Model Approach. | Chenliang Li, Jian Xing, Aixin Sun, Zongyang Ma |
| 2016 | SIGIR | Topic Modeling for Short Texts with Auxiliary Word Embeddings. | Chenliang Li, Haoran Wang, Zhiqian Zhang, Aixin Sun, Zongyang Ma |
| 2014 | SIGIR | Fine-grained location extraction from tweets with temporal awareness. | Chenliang Li, Aixin Sun |
| 2013 | SIGIR | Exploiting hybrid contexts for Tweet segmentation. | Chenliang Li, Aixin Sun, Jianshu Weng, Qi He |
| 2012 | CIKM | Twevent: segment-based event detection from tweets. | Chenliang Li, Aixin Sun, Anwitaman Datta |
| 2012 | SIGIR | TwiNER: named entity recognition in targeted twitter stream. | Chenliang Li, Jianshu Weng, Qi He, Yuxia Yao, Anwitaman Datta, Aixin Sun, Bu-Sung Lee |
| 2011 | ECIR | A Generalized Method for Word Sense Disambiguation Based on Wikipedia. | Chenliang Li, Aixin Sun, Anwitaman Datta |
| 2011 | SIGIR | Semantic tag recommendation using concept model. | Chenliang Li, Anwitaman Datta, Aixin Sun |