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ORCIDChenliang Li 0005
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- affiliation: Wuhan University, Wuhan, China
Other persons with the same name
- Chenliang Li — disambiguation page
- Chenliang Li 0001
![[0000-0001-8166-0243]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8166-0243")
— Guilin University of Electronic Technology, Guilin, Guangxi, China - Chenliang Li 0002 — University of Science and Technology of China, Hefei, China
- Chenliang Li 0003 — Alibaba DAMO Academy, Hangzhou, China
- Chenliang Li 0004 — Beijing Jiaotong University, Beijing, China
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2020 – today
- 2026
[j42]Xixun Lin, Qing Yu, Yanan Cao, Lixin Zou, Chuan Zhou, Jia Wu, Chenliang Li, Peng Zhang, Shirui Pan:
Generative Causality-Driven Network for Graph Multi-Task Learning. IEEE Trans. Pattern Anal. Mach. Intell. 48(1): 1029-1044 (2026)- 2025
- [j41]Min Tang, Shujie Cui, Zhe Jin, Shiuan-Ni Liang, Chenliang Li, Lixin Zou:
Sequential recommendation by reprogramming pretrained transformer. Inf. Process. Manag. 62(1): 103938 (2025) - [j40]Zihao Li, Lixin Zou, Chao Ma, Chenliang Li:
Efficient and explainable sequential recommendation with language model. Inf. Process. Manag. 62(5): 104122 (2025) - [j39]Xiaokun Zhang, Bo Xu, Chenliang Li, Bowei He, Hongfei Lin, Chen Ma, Fenglong Ma:
A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective. IEEE Trans. Knowl. Data Eng. 37(8): 4411-4431 (2025) - [j38]Bulou Liu, Yiran Hu, Qingyao Ai, Yueyue Wu, Yiqun Liu, Chenliang Li, Fan Zhang, Weixing Shen, Chong Chen, Qi Tian:
Structure-Aware Conversational Legal Case Retrieval. ACM Trans. Inf. Syst. 43(3): 65:1-65:28 (2025) - [j37]Shirui Hu, Weichang Wu, Zuoli Tang, Zhaoxin Huan, Lin Wang, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li:
HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation. ACM Trans. Inf. Syst. 43(4): 88:1-88:29 (2025) - [j36]Qing Yu, Lixin Zou, Xiangyang Luo, Xiangyu Zhao, Chenliang Li:
Uniform Graph Pre-training and Prompting for Transferable Recommendation. ACM Trans. Inf. Syst. 43(4): 101:1-101:26 (2025) - [j35]Bulou Liu, Yiran Hu, Qingyao Ai, Yiqun Liu, Yueyue Wu, Chenliang Li, Weixing Shen:
Generating Clarifying Questions for Conversational Legal Case Retrieval without External Knowledge. ACM Trans. Inf. Syst. 43(4): 102:1-102:26 (2025) - [j34]Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Lixin Zou, Chenliang Li:
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems. ACM Trans. Inf. Syst. 43(5): 118:1-118:27 (2025) - [c65]Yunfan Xie, Lixin Zou, Dan Luo, Min Tang, Chenliang Li:
Weak-to-Strong Honesty Alignment via Learning-to-Rank Supervision. ACL (Findings) 2025: 10154-10168 - [c64]Wenhua Zhang, Weicheng Li, Xuanrong Rao, Lixin Zou, Xiangyang Luo, Chubin Zhuang, Yongjie Hong, Zhen Qin, Hengyun Chang, Chenliang Li, Bo Zheng:
AIGuard: A Benchmark and Lightweight Detection for E-commerce AIGC Risks. ACL (Findings) 2025: 12437-12450 - [c63]Zihao Li, Xuekong Xu, Ziyao Chen, Lixin Zou, Ethanhjwu Ethanhjwu, Qiang Chen, Chenliang Li:
Token-level Preference Self-Alignment Optimization for Multi-style Outline Controllable Generation. ACL (Findings) 2025: 15974-16007 - [c62]Yunfan Xie, Lixin Zou, Dan Luo, Min Tang, Chenliang Li, Liming Dong, Xiangyang Luo:
Mitigating Language Confusion through Inference-time Intervention. COLING 2025: 8418-8431 - [c61]Weicheng Li, Lixin Zou, Min Tang, Qing Yu, Wanli Li, Chenliang Li:
META-LORA: Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models. COLING 2025: 8504-8517 - [c60]Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li:
Flow Matching Based Sequential Recommender Model. IJCAI 2025: 3108-3116 - [c59]Na Li, Zihao Li, Zuoli Tang, Yuqing Yu, Lixin Zou, Chenliang Li:
Bridging the Gap: Consistent Image Outpainting via Training-Free Noise Optimization. ACM Multimedia 2025: 9969-9977 - [c58]Yaqiong Qiao, Aobo Jiao, Xiangyang Luo, Chenliang Li, Jiangtao Ma, Chenkai Guo:
Towards Accurate Social User Geolocation: Mean Shift, Incremental Learning and Graph Convolutional Networks. SIGIR 2025: 276-285 - [d1]Xuan Ma, Zepeng Bao, Ming Zhong, Yuanyuan Zhu, Chenliang Li, Jiawei Jiang, Qing Li, Tieyun Qian:
Data4RACTC. IEEE DataPort, 2025
- [i35]Xiaokun Zhang, Bo Xu, Chenliang Li, Bowei He, Hongfei Lin, Chen Ma, Fenglong Ma:
A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective. CoRR abs/2505.12279 (2025) - [i34]Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li:
Flow Matching based Sequential Recommender Model. CoRR abs/2505.16298 (2025) - [i33]Zihao Li, Qiang Chen, Lixin Zou, Aixin Sun, Chenliang Li:
Multi-Interest Recommendation: A Survey. CoRR abs/2506.15284 (2025) - [i32]Yang Sun, Lixin Zou, Dan Luo, Zhiyong Xie, Long Zhang, Liming Dong, Yunwei Zhao, Xixun Lin, Yanxiong Lu, Chenliang Li:
LFD: Layer Fused Decoding to Exploit External Knowledge in Retrieval-Augmented Generation. CoRR abs/2508.19614 (2025) - 2024
- [j33]Zihao Li, Yunfan Xie, Wei Emma Zhang, Pengfei Wang, Lixin Zou, Fei Li, Xiangyang Luo, Chenliang Li:
Disentangle interest trend and diversity for sequential recommendation. Inf. Process. Manag. 61(2): 103619 (2024) - [j32]Leiyang Chen, Ying Xi, Liang Dong, Manjun Zhao, Chenliang Li, Xiao Liu, Xiaohui Cui:
Identifying influential nodes in complex networks via Transformer. Inf. Process. Manag. 61(5): 103775 (2024) - [j31]Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin:
Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation. IEEE Trans. Knowl. Data Eng. 36(4): 1450-1462 (2024) - [j30]Zihao Li, Aixin Sun, Chenliang Li:
DiffuRec: A Diffusion Model for Sequential Recommendation. ACM Trans. Inf. Syst. 42(3): 66:1-66:28 (2024) - [j29]Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin:
Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. ACM Trans. Inf. Syst. 42(3): 68:1-68:28 (2024) - [j28]Zhidan Wang, Lixin Zou, Chenliang Li, Shuaiqiang Wang, Xu Chen, Dawei Yin, Weidong Liu:
Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework. ACM Trans. Inf. Syst. 42(6): 142:1-142:30 (2024) - [j27]Ke Sun, Chenliang Li, Tieyun Qian:
City Matters! A Dual-Target Cross-City Sequential POI Recommendation Model. ACM Trans. Inf. Syst. 42(6): 153:1-153:27 (2024) - [c57]Chaoran Zhang, Lixin Zou, Dan Luo, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li:
Efficient Sparse Attention needs Adaptive Token Release. ACL (Findings) 2024: 14081-14094 - [c56]Zihao Li, Xuekong Xu, Zuoli Tang, Lixin Zou, Qian Wang, Chenliang Li:
Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation. CIKM 2024: 1336-1345 - [c55]Zuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li:
TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference. CIKM 2024: 2240-2249 - [c54]Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li:
LT2R: Learning to Online Learning to Rank for Web Search. ICDE 2024: 4733-4746 - [c53]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:
Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR 2024: 1232-1241 - [c52]Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison:
Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. SIGIR 2024: 1535-1545 - [c51]Zhichao Feng, Pengfei Wang, Kaiyuan Li, Chenliang Li, Shangguang Wang:
Contextual MAB Oriented Embedding Denoising for Sequential Recommendation. WSDM 2024: 199-207 - [c50]Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li:
Unified Visual Preference Learning for User Intent Understanding. WSDM 2024: 816-825 - [i31]Xiaokun Zhang, Bo Xu, Chenliang Li, Yao Zhou, Liangyue Li, Hongfei Lin:
Side Information-Driven Session-based Recommendation: A Survey. CoRR abs/2402.17129 (2024) - [i30]Chaoran Zhang, Lixin Zou, Dan Luo, Min Tang, Xiangyang Luo, Zihao Li, Chenliang Li:
Efficient Sparse Attention needs Adaptive Token Release. CoRR abs/2407.02328 (2024) - [i29]Xuan Ma, Zepeng Bao, Ming Zhong, Yuanyuan Zhu, Chenliang Li, Jiawei Jiang, Qing Li, Tieyun Qian:
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective. CoRR abs/2412.00167 (2024) - 2023
- [j26]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [j25]Xiaofei Zhu, Gu Tang, Pengfei Wang, Chenliang Li, Jiafeng Guo, Stefan Dietze:
Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation. Inf. Sci. 624: 324-343 (2023) - [j24]Hao Fei, Tat-Seng Chua, Chenliang Li, Donghong Ji, Meishan Zhang, Yafeng Ren:
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training. ACM Trans. Inf. Syst. 41(2): 50:1-50:32 (2023) - [j23]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Critical Study on Data Leakage in Recommender System Offline Evaluation. ACM Trans. Inf. Syst. 41(3): 75:1-75:27 (2023) - [j22]Ke Sun, Tieyun Qian, Chenliang Li, Xuan Ma, Qing Li, Ming Zhong, Yuanyuan Zhu, Mengchi Liu:
Pre-Training Across Different Cities for Next POI Recommendation. ACM Trans. Web 17(4): 31:1-31:27 (2023) - [c49]Qizhi Wan, Changxuan Wan, Keli Xiao, Dexi Liu, Chenliang Li, Bolong Zheng, Xiping Liu, Rong Hu:
Joint Document-Level Event Extraction via Token-Token Bidirectional Event Completed Graph. ACL (1) 2023: 10481-10492 - [c48]Bulou Liu, Yiran Hu, Qingyao Ai, Yiqun Liu, Yueyue Wu, Chenliang Li, Weixing Shen:
Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval. CIKM 2023: 1513-1522 - [c47]Pengfei Wang, Chenliang Li, Lixin Zou, Zhichao Feng, Kaiyuan Li, Xiaochen Li, Xialong Liu, Shangguang Wang:
Tutorial: Data Denoising Metrics in Recommender Systems. CIKM 2023: 5224-5227 - [c46]Bulou Liu, Yiran Hu, Yueyue Wu, Yiqun Liu, Fan Zhang, Chenliang Li, Min Zhang, Shaoping Ma, Weixing Shen:
Investigating Conversational Agent Action in Legal Case Retrieval. ECIR (1) 2023: 622-635 - [c45]Jing Li, Aixin Sun, Jianglei Han, Chenliang Li:
A Survey on Deep Learning for Named Entity Recognition : Extended Abstract. ICDE 2023: 3817-3818 - [c44]Yanling Wang, Yuchen Liu, Qian Wang, Cong Wang, Chenliang Li:
Poisoning Self-supervised Learning Based Sequential Recommendations. SIGIR 2023: 300-310 - [c43]Zuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li:
Towards Multi-Interest Pre-training with Sparse Capsule Network. SIGIR 2023: 311-320 - [c42]Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li:
Multi-Scenario Ranking with Adaptive Feature Learning. SIGIR 2023: 517-526 - [c41]Hongyu Shan, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Chenliang Li:
Beyond Two-Tower: Attribute Guided Representation Learning for Candidate Retrieval. WWW 2023: 3173-3181 - [i28]Zihao Li, Aixin Sun, Chenliang Li:
DiffuRec: A Diffusion Model for Sequential Recommendation. CoRR abs/2304.00686 (2023) - [i27]Hao Fei, Tat-Seng Chua, Chenliang Li, Donghong Ji, Meishan Zhang, Yafeng Ren:
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training. CoRR abs/2304.09563 (2023) - [i26]Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison:
Unconfounded Propensity Estimation for Unbiased Ranking. CoRR abs/2305.09918 (2023) - [i25]Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li:
Multi-Scenario Ranking with Adaptive Feature Learning. CoRR abs/2306.16732 (2023) - [i24]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - [i23]Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin:
Beyond Co-occurrence: Multi-modal Session-based Recommendation. CoRR abs/2309.17037 (2023) - [i22]Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Chenliang Li:
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems. CoRR abs/2310.14304 (2023) - [i21]You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng:
On the Opportunities of Green Computing: A Survey. CoRR abs/2311.00447 (2023) - [i20]Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin:
Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. CoRR abs/2311.01125 (2023) - 2022
- [j21]Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li, Yuan Lin, Haifeng Liu, Fenglong Ma:
Dynamic intent-aware iterative denoising network for session-based recommendation. Inf. Process. Manag. 59(3): 102936 (2022) - [j20]Jiangtao Ma, Duanyang Li, Haodong Zhu, Chenliang Li, Qiuwen Zhang, Yaqiong Qiao:
GAFM: A Knowledge Graph Completion Method Based on Graph Attention Faded Mechanism. Inf. Process. Manag. 59(5): 103004 (2022) - [j19]Bulou Liu, Yueyue Wu, Fan Zhang, Yiqun Liu, Zhihong Wang, Chenliang Li, Min Zhang, Shaoping Ma:
Query Generation and Buffer Mechanism: Towards a better conversational agent for legal case retrieval. Inf. Process. Manag. 59(5): 103051 (2022) - [j18]Ming Dong, Bolong Zheng, Guohui Li, Chenliang Li, Kai Zheng, Xiaofang Zhou:
Wavefront-Based Multiple Rumor Sources Identification by Multi-Task Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1068-1078 (2022) - [j17]Jing Li, Aixin Sun, Jianglei Han, Chenliang Li:
A Survey on Deep Learning for Named Entity Recognition. IEEE Trans. Knowl. Data Eng. 34(1): 50-70 (2022) - [c40]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective. ICTIR 2022: 92-97 - [c39]Hao Fei, Jingye Li, Shengqiong Wu, Chenliang Li, Donghong Ji, Fei Li:
Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction. IJCAI 2022: 4107-4113 - [c38]Hao Fei, Fei Li, Chenliang Li, Shengqiong Wu, Jingye Li, Donghong Ji:
Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis. IJCAI 2022: 4121-4128 - [c37]Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li:
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. KDD 2022: 2263-2274 - [c36]Zhihong Chen, Jiawei Wu, Chenliang Li, Jingxu Chen, Rong Xiao, Binqiang Zhao:
Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders. SIGIR 2022: 60-69 - [c35]Zheng Chai, Zhihong Chen, Chenliang Li, Rong Xiao, Houyi Li, Jiawei Wu, Jingxu Chen, Haihong Tang:
User-Aware Multi-Interest Learning for Candidate Matching in Recommenders. SIGIR 2022: 1326-1335 - [c34]Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li:
Knowledge Graph Contrastive Learning for Recommendation. SIGIR 2022: 1434-1443 - [c33]Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, Aixin Sun:
Automatic Expert Selection for Multi-Scenario and Multi-Task Search. SIGIR 2022: 1535-1544 - [c32]Hao Fei, Chenliang Li, Donghong Ji, Fei Li:
Mutual Disentanglement Learning for Joint Fine-Grained Sentiment Classification and Controllable Text Generation. SIGIR 2022: 1555-1565 - [c31]Kaiyuan Li, Pengfei Wang, Chenliang Li:
Multi-Agent RL-based Information Selection Model for Sequential Recommendation. SIGIR 2022: 1622-1631 - [c30]Yu Tian, Jianxin Chang, Yanan Niu, Yang Song, Chenliang Li:
When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation. SIGIR 2022: 1632-1641 - [c29]Siqi Lai, Erli Meng, Fan Zhang, Chenliang Li, Bin Wang, Aixin Sun:
An Attribute-Driven Mirror Graph Network for Session-based Recommendation. SIGIR 2022: 1674-1683 - [c28]Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin:
Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. SIGIR 2022: 1684-1693 - [c27]Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang:
Is News Recommendation a Sequential Recommendation Task? SIGIR 2022: 2382-2386 - [c26]Teng-Yue Han, Pengfei Wang, Shaozhang Niu, Chenliang Li:
Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation. WWW 2022: 2058-2066 - [i19]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
Recommender May Not Favor Loyal Users. CoRR abs/2204.05927 (2022) - [i18]Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li:
Knowledge Graph Contrastive Learning for Recommendation. CoRR abs/2205.00976 (2022) - [i17]Yu Tian, Jianxin Chang, Yanan Niu, Yang Song, Chenliang Li:
When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation. CoRR abs/2205.01286 (2022) - [i16]Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin:
Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation. CoRR abs/2205.04181 (2022) - [i15]Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, Aixin Sun:
Automatic Expert Selection for Multi-Scenario and Multi-Task Search. CoRR abs/2205.14321 (2022) - [i14]Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li:
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. CoRR abs/2207.05584 (2022) - 2021
- [j16]Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu, Min Zhang, Peng Zhang, Qi Zhang:
Information retrieval: a view from the Chinese IR community. Frontiers Comput. Sci. 15(1): 151601 (2021) - [c25]Yiyu Liu, Qian Liu, Yu Tian, Changping Wang, Yanan Niu, Yang Song, Chenliang Li:
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation. CIKM 2021: 1099-1108 - [c24]Zhong Yang, Bolong Zheng, Chengdong Tong, Lianggui Weng, Chenliang Li, Guohui Li:
HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data. CIKM 2021: 2363-2372 - [c23]Xiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, Shaozhang Niu:
Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation. IJCAI 2021: 1593-1599 - [c22]Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li:
Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation. SIGIR 2021: 51-60 - [c21]Yuqi Qin, Pengfei Wang, Chenliang Li:
The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation. SIGIR 2021: 859-868 - [c20]Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang:
Path-based Deep Network for Candidate Item Matching in Recommenders. SIGIR 2021: 1493-1502 - [c19]Bulou Liu, Yueyue Wu, Yiqun Liu, Fan Zhang, Yunqiu Shao, Chenliang Li, Min Zhang, Shaoping Ma:
Conversational vs Traditional: Comparing Search Behavior and Outcome in Legal Case Retrieval. SIGIR 2021: 1622-1626 - [c18]Xichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao, Hongbo Deng:
Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. WSDM 2021: 1038-1046 - [i13]Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang:
Path-based Deep Network for Candidate Item Matching in Recommenders. CoRR abs/2105.08246 (2021) - [i12]Yiyu Liu, Qian Liu, Yu Tian, Changping Wang, Yanan Niu, Yang Song, Chenliang Li:
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation. CoRR abs/2109.13527 (2021) - 2020
- [j15]Zhiqian Zhang, Chenliang Li, Zhiyong Wu, Aixin Sun, Dengpan Ye, Xiangyang Luo:
NEXT: a neural network framework for next POI recommendation. Frontiers Comput. Sci. 14(2): 314-333 (2020) - [j14]Yaqiong Qiao, Xiangyang Luo, Chenliang Li, Hechan Tian, Jiangtao Ma:
Heterogeneous graph-based joint representation learning for users and POIs in location-based social network. Inf. Process. Manag. 57(2): 102151 (2020) - [j13]Xiangyang Luo, Yaqiong Qiao, Chenliang Li, Jiangtao Ma, Yimin Liu:
An overview of microblog user geolocation methods. Inf. Process. Manag. 57(6): 102375 (2020) - [j12]Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi, Chenliang Li:
Adversarial Attacks on Deep-learning Models in Natural Language Processing: A Survey. ACM Trans. Intell. Syst. Technol. 11(3): 24:1-24:41 (2020) - [j11]Bulou Liu, Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen:
An Attention-based Deep Relevance Model for Few-shot Document Filtering. ACM Trans. Inf. Syst. 39(1): 6:1-6:35 (2020) - [c17]Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi:
CASE: Context-Aware Semantic Expansion. AAAI 2020: 7871-7878 - [c16]Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Honggang Wang, Hongbo Deng, Zhenzhong Chen:
Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce. CIKM 2020: 2165-2168 - [c15]Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Hongbo Deng, Zhenzhong Chen:
A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce. KDD 2020: 3405-3415 - [c14]Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun:
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. SIGIR 2020: 229-238 - [c13]Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng:
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. SIGIR 2020: 579-588 - [c12]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Re-visit of the Popularity Baseline in Recommender Systems. SIGIR 2020: 1749-1752 - [i11]Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng:
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. CoRR abs/2005.10545 (2020) - [i10]Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun:
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. CoRR abs/2005.10549 (2020) - [i9]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Re-visit of the Popularity Baseline in Recommender Systems. CoRR abs/2005.13829 (2020) - [i8]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
On Offline Evaluation of Recommender Systems. CoRR abs/2010.11060 (2020)
2010 – 2019
- 2019
- [j10]Daochen Zha, Chenliang Li:
Multi-label dataless text classification with topic modeling. Knowl. Inf. Syst. 61(1): 137-160 (2019) - [j9]Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li:
Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All. IEEE Trans. Knowl. Data Eng. 31(7): 1383-1396 (2019) - [j8]Chenliang Li, Shiqian Chen, Jian Xing, Aixin Sun, Zongyang Ma:
Seed-Guided Topic Model for Document Filtering and Classification. ACM Trans. Inf. Syst. 37(1): 9:1-9:37 (2019) - [j7]Libing Wu, Cong Quan, Chenliang Li, Qian Wang, Bolong Zheng, Xiangyang Luo:
A Context-Aware User-Item Representation Learning for Item Recommendation. ACM Trans. Inf. Syst. 37(2): 22:1-22:29 (2019) - [j6]Bolong Zheng, Kai Zheng, Peter Scheuermann, Xiaofang Zhou, Quoc Viet Hung Nguyen, Chenliang Li:
Searching activity trajectory with keywords. World Wide Web 22(3): 967-1000 (2019) - [c11]Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji:
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. WWW 2019: 3391-3397 - [i7]Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji:
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. CoRR abs/1901.07005 (2019) - [i6]Jiaxin Pei, Aixin Sun, Chenliang Li:
Targeted Sentiment Analysis: A Data-Driven Categorization. CoRR abs/1905.03423 (2019) - [i5]Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi:
CASE: Context-Aware Semantic Expansion. CoRR abs/1912.13194 (2019) - 2018
- [c10]Minghui Li, Mingxue Zhang, Qian Wang, Sherman S. M. Chow, Minxin Du, Yanjiao Chen, Chenliang Li:
InstantCryptoGram: Secure Image Retrieval Service. INFOCOM 2018: 2222-2230 - [e2]Shichao Zhang, Tie-Yan Liu, Xianxian Li, Jiafeng Guo, Chenliang Li:
Information Retrieval - 24th China Conference, CCIR 2018, Guilin, China, September 27-29, 2018, Proceedings. Lecture Notes in Computer Science 11168, Springer 2018, ISBN 978-3-030-01011-9 [contents] - [i4]Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li:
Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All. CoRR abs/1802.01074 (2018) - [i3]Jing Li, Aixin Sun, Jianglei Han, Chenliang Li:
A Survey on Deep Learning for Named Entity Recognition. CoRR abs/1812.09449 (2018) - 2017
- [j5]Chenliang Li, Aixin Sun:
Extracting fine-grained location with temporal awareness in tweets: A two-stage approach. J. Assoc. Inf. Sci. Technol. 68(7): 1652-1670 (2017) - [j4]Chenliang Li, Yu Duan, Haoran Wang, Zhiqian Zhang, Aixin Sun, Zongyang Ma:
Enhancing Topic Modeling for Short Texts with Auxiliary Word Embeddings. ACM Trans. Inf. Syst. 36(2): 11:1-11:30 (2017) - [c9]Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li:
NeuPL: Attention-based Semantic Matching and Pair-Linking for Entity Disambiguation. CIKM 2017: 1667-1676 - [e1]Ee-Peng Lim, Marianne Winslett, Mark Sanderson, Ada Wai-Chee Fu, Jimeng Sun, J. Shane Culpepper, Eric Lo, Joyce C. Ho, Debora Donato, Rakesh Agrawal, Yu Zheng, Carlos Castillo, Aixin Sun, Vincent S. Tseng, Chenliang Li:
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017. ACM 2017, ISBN 978-1-4503-4918-5 [contents] - [i2]Zhiqian Zhang, Chenliang Li, Zhiyong Wu, Aixin Sun, Dengpan Ye, Xiangyang Luo:
NEXT: A Neural Network Framework for Next POI Recommendation. CoRR abs/1704.04576 (2017) - [i1]Libing Wu, Cong Quan, Chenliang Li, Qian Wang, Bolong Zheng:
A Context-Aware User-Item Representation Learning for Item Recommendation. CoRR abs/1712.02342 (2017) - 2016
- [c8]Chenliang Li, Jian Xing, Aixin Sun, Zongyang Ma:
Effective Document Labeling with Very Few Seed Words: A Topic Model Approach. CIKM 2016: 85-94 - [c7]Chenliang Li, Haoran Wang, Zhiqian Zhang, Aixin Sun, Zongyang Ma:
Topic Modeling for Short Texts with Auxiliary Word Embeddings. SIGIR 2016: 165-174 - 2015
- [j3]Chenliang Li, Aixin Sun, Jianshu Weng, Qi He:
Tweet Segmentation and Its Application to Named Entity Recognition. IEEE Trans. Knowl. Data Eng. 27(2): 558-570 (2015) - 2014
- [c6]Chenliang Li, Aixin Sun:
Fine-grained location extraction from tweets with temporal awareness. SIGIR 2014: 43-52 - 2013
- [j2]Chenliang Li, Aixin Sun, Anwitaman Datta:
TSDW: Two-stage word sense disambiguation using Wikipedia. J. Assoc. Inf. Sci. Technol. 64(6): 1203-1223 (2013) - [c5]Chenliang Li, Aixin Sun, Jianshu Weng, Qi He:
Exploiting hybrid contexts for Tweet segmentation. SIGIR 2013: 523-532 - 2012
- [j1]Chenliang Li, Anwitaman Datta, Aixin Sun:
Mining latent relations in peer-production environments: a case study with Wikipedia article similarity and controversy. Soc. Netw. Anal. Min. 2(3): 265-278 (2012) - [c4]Chenliang Li, Aixin Sun, Anwitaman Datta:
Twevent: segment-based event detection from tweets. CIKM 2012: 155-164 - [c3]Chenliang Li, Jianshu Weng, Qi He, Yuxia Yao, Anwitaman Datta, Aixin Sun, Bu-Sung Lee:
TwiNER: named entity recognition in targeted twitter stream. SIGIR 2012: 721-730 - 2011
- [c2]Chenliang Li, Aixin Sun, Anwitaman Datta:
A Generalized Method for Word Sense Disambiguation Based on Wikipedia. ECIR 2011: 653-664 - [c1]Chenliang Li, Anwitaman Datta, Aixin Sun:
Semantic tag recommendation using concept model. SIGIR 2011: 1159-1160
Coauthor Index
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