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Aixin Sun
孙爱欣
Person information
- affiliation: Nanyang Technological University, Singapore
- unicode name: 孙爱欣
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2020 – today
- 2024
- [j66]Aixin Sun:
Beyond Collaborative Filtering: A Relook at Task Formulation in Recommender Systems. SIGWEB Newsl. 2024(Spring): 1-11 (2024) - [j65]Zhe Chen, Aixin Sun:
DP-GCN: Node Classification by Connectivity and Local Topology Structure on Real-World Network. ACM Trans. Knowl. Discov. Data 18(6): 140:1-140:20 (2024) - [j64]Zihao Li, Aixin Sun, Chenliang Li:
DiffuRec: A Diffusion Model for Sequential Recommendation. ACM Trans. Inf. Syst. 42(3): 66:1-66:28 (2024) - [c179]Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun:
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. ACL (Findings) 2024: 493-516 - [c178]Mathieu Ravaut, Aixin Sun, Nancy F. Chen, Shafiq Joty:
On Context Utilization in Summarization with Large Language Models. ACL (1) 2024: 2764-2781 - [c177]Tom Bourgeade, Zongmin Li, Farah Benamara, Véronique Moriceau, Jian Su, Aixin Sun:
Humans Need Context, What about Machines? Investigating Conversational Context in Abusive Language Detection. LREC/COLING 2024: 8438-8452 - [c176]Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu:
Parameter-Efficient Conversational Recommender System as a Language Processing Task. EACL (1) 2024: 152-165 - [c175]Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun:
SciAgent: Tool-augmented Language Models for Scientific Reasoning. EMNLP 2024: 15701-15736 - [c174]Lulu Dong, Guoxiu He, Aixin Sun:
Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias. RecSys 2024: 179-188 - [c173]Jiayu Li, Aixin Sun, Weizhi Ma, Peijie Sun, Min Zhang:
Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery. RecSys 2024: 643-653 - [c172]Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan:
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. SDM 2024: 418-426 - [i82]Chongzhi Zhang, Mingyuan Zhang, Zhiyang Teng, Jiayi Li, Xizhou Zhu, Lewei Lu, Ziwei Liu, Aixin Sun:
Multi-scale 2D Temporal Map Diffusion Models for Natural Language Video Localization. CoRR abs/2401.08232 (2024) - [i81]Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu:
Parameter-Efficient Conversational Recommender System as a Language Processing Task. CoRR abs/2401.14194 (2024) - [i80]Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun, Hany Hassan Awadalla, Weizhu Chen:
SciAgent: Tool-augmented Language Models for Scientific Reasoning. CoRR abs/2402.11451 (2024) - [i79]Jiayu Li, Aixin Sun, Weizhi Ma, Peijie Sun, Min Zhang:
Recommender for Its Purpose: Repeat and Exploration in Food Delivery Recommendations. CoRR abs/2402.14440 (2024) - [i78]Siqi Fan, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang, Zhongyuan Wang:
Not all Layers of LLMs are Necessary during Inference. CoRR abs/2403.02181 (2024) - [i77]Aixin Sun:
Beyond Collaborative Filtering: A Relook at Task Formulation in Recommender Systems. CoRR abs/2404.13375 (2024) - [i76]Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Chao Wang, Xinzhang Liu, Zihan Wang, Yu Zhao, Xin Wang, Yuyao Huang, Shuangyong Song, Yongxiang Li, Zheng Zhang, Bo Zhao, Aixin Sun, Yequan Wang, Zhongjiang He, Zhongyuan Wang, Xuelong Li, Tiejun Huang:
Tele-FLM Technical Report. CoRR abs/2404.16645 (2024) - [i75]Yubo Ma, Yuhang Zang, Liangyu Chen, Meiqi Chen, Yizhu Jiao, Xinze Li, Xinyuan Lu, Ziyu Liu, Yan Ma, Xiaoyi Dong, Pan Zhang, Liangming Pan, Yu-Gang Jiang, Jiaqi Wang, Yixin Cao, Aixin Sun:
MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations. CoRR abs/2407.01523 (2024) - [i74]Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Chao Wang, Xinzhang Liu, Zihan Wang, Yu Zhao, Xin Wang, Yuyao Huang, Shuangyong Song, Yongxiang Li, Zheng Zhang, Bo Zhao, Aixin Sun, Yequan Wang, Zhongjiang He, Zhongyuan Wang, Xuelong Li, Tiejun Huang:
52B to 1T: Lessons Learned via Tele-FLM Series. CoRR abs/2407.02783 (2024) - [i73]Renjie Liang, Li Li, Chongzhi Zhang, Jing Wang, Xizhou Zhu, Aixin Sun:
TVR-Ranking: A Dataset for Ranked Video Moment Retrieval with Imprecise Queries. CoRR abs/2407.06597 (2024) - [i72]Qishuai Zhong, Yike Yun, Aixin Sun:
Cultural Value Differences of LLMs: Prompt, Language, and Model Size. CoRR abs/2407.16891 (2024) - [i71]Xin Zhou, Aixin Sun, Jie Zhang, Donghui Lin:
The Crowd in MOOCs: A Study of Learning Patterns at Scale. CoRR abs/2408.03025 (2024) - [i70]Yiqun Yao, Wenjia Ma, Xuezhi Fang, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Jing Li, Aixin Sun, Yequan Wang:
Open-domain Implicit Format Control for Large Language Model Generation. CoRR abs/2408.04392 (2024) - [i69]Lulu Dong, Guoxiu He, Aixin Sun:
Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias. CoRR abs/2408.17332 (2024) - [i68]Xin Jiang, Xiang Li, Wenjia Ma, Xuezhi Fang, Yiqun Yao, Naitong Yu, Xuying Meng, Peng Han, Jing Li, Aixin Sun, Yequan Wang:
Sketch: A Toolkit for Streamlining LLM Operations. CoRR abs/2409.03346 (2024) - 2023
- [j63]Jie Zou, Aixin Sun, Cheng Long, Mohammad Aliannejadi, Evangelos Kanoulas:
Asking Clarifying Questions: To benefit or to disturb users in Web search? Inf. Process. Manag. 60(2): 103176 (2023) - [j62]Mengying Yu, Aixin Sun:
Dataset versus reality: Understanding model performance from the perspective of information need. J. Assoc. Inf. Sci. Technol. 74(11): 1293-1306 (2023) - [j61]Ting Lin, Aixin Sun, Yequan Wang:
EDU-Capsule: aspect-based sentiment analysis at clause level. Knowl. Inf. Syst. 65(2): 517-541 (2023) - [j60]Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou:
Temporal Sentence Grounding in Videos: A Survey and Future Directions. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10443-10465 (2023) - [j59]Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Quan Z. Sheng:
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. IEEE Trans. Knowl. Data Eng. 35(10): 9878-9889 (2023) - [j58]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) - [j57]Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao:
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. Trans. Recomm. Syst. 1(2): 1-25 (2023) - [c171]Wang Jing, Aixin Sun, Hao Zhang, Xiaoli Li:
MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction. ACL (1) 2023: 1387-1400 - [c170]Yin Wu, Aixin Sun:
Negation Scope Refinement via Boundary Shift Loss. ACL (Findings) 2023: 6090-6099 - [c169]Xinze Li, Yixin Cao, Muhao Chen, Aixin Sun:
Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation. ACL (Findings) 2023: 10129-10147 - [c168]Jianzhu Bao, Rui Wang, Yasheng Wang, Aixin Sun, Yitong Li, Fei Mi, Ruifeng Xu:
A Synthetic Data Generation Framework for Grounded Dialogues. ACL (1) 2023: 10866-10882 - [c167]Yubo Ma, Zehao Wang, Yixin Cao, Aixin Sun:
Few-shot Event Detection: An Empirical Study and a Unified View. ACL (1) 2023: 11211-11236 - [c166]Chen Chen, Yufei Wang, Aixin Sun, Bing Li, Kwok-Yan Lam:
Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting. ACL (Findings) 2023: 11489-11503 - [c165]Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun:
The 1st Workshop on Recommendation with Generative Models. CIKM 2023: 5300-5303 - [c164]Yubo Ma, Yixin Cao, Yong Hong, Aixin Sun:
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! EMNLP (Findings) 2023: 10572-10601 - [c163]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
From Speculation Detection to Trustworthy Relational Tuples in Information Extraction. EMNLP (Findings) 2023: 13287-13299 - [c162]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Open Information Extraction via Chunks. EMNLP 2023: 15390-15404 - [c161]Jing Li, Aixin Sun, Jianglei Han, Chenliang Li:
A Survey on Deep Learning for Named Entity Recognition : Extended Abstract. ICDE 2023: 3817-3818 - [c160]Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You:
A Study on Transformer Configuration and Training Objective. ICML 2023: 38913-38925 - [c159]Aixin Sun:
On Challenges of Evaluating Recommender Systems in an Offline Setting. RecSys 2023: 1284-1285 - [c158]Chunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang, Ke Wang:
A Preference Learning Decoupling Framework for User Cold-Start Recommendation. SIGIR 2023: 1168-1177 - [c157]Aixin Sun:
Take a Fresh Look at Recommender Systems from an Evaluation Standpoint. SIGIR 2023: 2629-2638 - [c156]Shan Jie Yong, Kuicai Dong, Aixin Sun:
DOCoR: Document-level OpenIE with Coreference Resolution. WSDM 2023: 1204-1207 - [i67]Yubo Ma, Yixin Cao, YongChing Hong, Aixin Sun:
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! CoRR abs/2303.08559 (2023) - [i66]Yequan Wang, Hengran Zhang, Aixin Sun, Xuying Meng:
GCRE-GPT: A Generative Model for Comparative Relation Extraction. CoRR abs/2303.08601 (2023) - [i65]Zihao Li, Aixin Sun, Chenliang Li:
DiffuRec: A Diffusion Model for Sequential Recommendation. CoRR abs/2304.00686 (2023) - [i64]Xiang Li, Xin Jiang, Xuying Meng, Aixin Sun, Yequan Wang:
FreeLM: Fine-Tuning-Free Language Model. CoRR abs/2305.01616 (2023) - [i63]Yubo Ma, Zehao Wang, Yixin Cao, Aixin Sun:
Few-shot Event Detection: An Empirical Study and a Unified View. CoRR abs/2305.01901 (2023) - [i62]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Open Information Extraction via Chunks. CoRR abs/2305.03299 (2023) - [i61]Yitong Ji, Aixin Sun, Jie Zhang:
Retraining A Graph-based Recommender with Interests Disentanglement. CoRR abs/2305.03624 (2023) - [i60]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detection. CoRR abs/2305.04181 (2023) - [i59]Xinze Li, Yixin Cao, Muhao Chen, Aixin Sun:
Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation. CoRR abs/2305.10907 (2023) - [i58]Fangkai Jiao, Zhiyang Teng, Shafiq R. Joty, Bosheng Ding, Aixin Sun, Zhengyuan Liu, Nancy F. Chen:
LogicLLM: Exploring Self-supervised Logic-enhanced Training for Large Language Models. CoRR abs/2305.13718 (2023) - [i57]Jing Wang, Aixin Sun, Hao Zhang, Xiaoli Li:
MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction. CoRR abs/2305.18969 (2023) - [i56]Chen Chen, Yufei Wang, Aixin Sun, Bing Li, Kwok-Yan Lam:
Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting. CoRR abs/2307.01709 (2023) - [i55]Guoxiu He, Aixin Sun, Wei Lu:
Research Explosion: More Effort to Climb onto Shoulders of the Giant. CoRR abs/2307.06506 (2023) - [i54]Yu-chen Fan, Yitong Ji, Jie Zhang, Aixin Sun:
Our Model Achieves Excellent Performance on MovieLens: What Does it Mean? CoRR abs/2307.09985 (2023) - [i53]Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Xuying Meng, Siqi Fan, Peng Han, Jing Li, Li Du, Bowen Qin, Zheng Zhang, Aixin Sun, Yequan Wang:
FLM-101B: An Open LLM and How to Train It with $100K Budget. CoRR abs/2309.03852 (2023) - [i52]Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan:
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. CoRR abs/2309.06789 (2023) - [i51]Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun:
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. CoRR abs/2310.05634 (2023) - [i50]Mathieu Ravaut, Shafiq Joty, Aixin Sun, Nancy F. Chen:
On Position Bias in Summarization with Large Language Models. CoRR abs/2310.10570 (2023) - 2022
- [j56]Jianxin Li, Aixin Sun, Ziyu Guan, Muhammad Aamir Cheema, Geyong Min:
Real-time dynamic network learning for location inference modelling and computing. Neurocomputing 472: 198-200 (2022) - [j55]Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4252-4266 (2022) - [j54]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) - [j53]Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Xiangliang Zhang:
Point-of-Interest Recommendation With Global and Local Context. IEEE Trans. Knowl. Data Eng. 34(11): 5484-5495 (2022) - [c155]Yubo Ma, Zehao Wang, Mukai Li, Yixin Cao, Meiqi Chen, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao:
MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities. ACL (demo) 2022: 231-239 - [c154]Yequan Wang, Xiang Li, Aixin Sun, Xuying Meng, Huaming Liao, Jiafeng Guo:
CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction. COLING 2022: 2438-2449 - [c153]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Syntactic Multi-view Learning for Open Information Extraction. EMNLP 2022: 4072-4083 - [c152]Yequan Wang, Hengran Zhang, Aixin Sun, Xuying Meng:
CORT: A New Baseline for Comparative Opinion Classification by Dual Prompts. EMNLP (Findings) 2022: 7064-7075 - [c151]Fuzhao Xue, Aixin Sun, Hao Zhang, Jinjie Ni, Eng Siong Chng:
An Embarrassingly Simple Model for Dialogue Relation Extraction. ICASSP 2022: 6707-6711 - [c150]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 - [c149]Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun:
A Survey on Neural Open Information Extraction: Current Status and Future Directions. IJCAI 2022: 5694-5701 - [c148]Yiyi Liu, Yequan Wang, Aixin Sun, Xuying Meng, Jing Li, Jiafeng Guo:
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict. NAACL-HLT (Findings) 2022: 1670-1680 - [c147]Ting Lin, Aixin Sun, Yequan Wang:
Aspect-Based Sentiment Analysis Through EDU-Level Attentions. PAKDD (1) 2022: 156-168 - [c146]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 - [c145]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 - [c144]Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun, Cheng Long:
Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. SIGIR 2022: 2319-2324 - [r1]Shuai Zhang, Yi Tay, Lina Yao, Aixin Sun, Ce Zhang:
Deep Learning for Recommender Systems. Recommender Systems Handbook 2022: 173-210 - [i49]Grace E. Lee, Aixin Sun:
Towards Reducing Manual Workload in Technology-Assisted Reviews: Estimating Ranking Performance. CoRR abs/2201.05648 (2022) - [i48]Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou:
The Elements of Temporal Sentence Grounding in Videos: A Survey and Future Directions. CoRR abs/2201.08071 (2022) - [i47]Ting Lin, Aixin Sun, Yequan Wang:
Aspect-based Sentiment Analysis through EDU-level Attentions. CoRR abs/2202.02535 (2022) - [i46]Yequan Wang, Xuying Meng, Yiyi Liu, Aixin Sun, Yao Wang, Yinhe Zheng, Minlie Huang:
Chat-Capsule: A Hierarchical Capsule for Dialog-level Emotion Analysis. CoRR abs/2203.12254 (2022) - [i45]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
Recommender May Not Favor Loyal Users. CoRR abs/2204.05927 (2022) - [i44]Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Xin Jiang, Yang You:
Deeper vs Wider: A Revisit of Transformer Configuration. CoRR abs/2205.10505 (2022) - [i43]Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun:
A Survey on Neural Open Information Extraction: Current Status and Future Directions. CoRR abs/2205.11725 (2022) - [i42]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) - [i41]Yequan Wang, Xiang Li, Aixin Sun, Xuying Meng, Huaming Liao, Jiafeng Guo:
CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction. CoRR abs/2209.09432 (2022) - [i40]Aixin Sun:
From Counter-intuitive Observations to a Fresh Look at Recommender System. CoRR abs/2210.04149 (2022) - [i39]Yequan Wang, Jiawen Deng, Aixin Sun, Xuying Meng:
Perplexity from PLM Is Unreliable for Evaluating Text Quality. CoRR abs/2210.05892 (2022) - [i38]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Syntactic Multi-view Learning for Open Information Extraction. CoRR abs/2212.02068 (2022) - [i37]Mengying Yu, Aixin Sun:
Dataset vs Reality: Understanding Model Performance from the Perspective of Information Need. CoRR abs/2212.02726 (2022) - 2021
- [j52]Grace E. Lee, Aixin Sun:
Understanding the stability of medical concept embeddings. J. Assoc. Inf. Sci. Technol. 72(3): 346-356 (2021) - [j51]Feiheng Luo, Aixin Sun, Aravind Sesagiri Raamkumar, Mojisola Erdt, Yin-Leng Theng:
Will Your Paper Get Promoted by a Citation? A Case Study of Citation Promoter in Computer Science Discipline. IEEE Trans. Emerg. Top. Comput. 9(1): 238-245 (2021) - [j50]Zhe Chen, Aixin Sun, Xiaokui Xiao:
Incremental Community Detection on Large Complex Attributed Network. ACM Trans. Knowl. Discov. Data 15(6): 109:1-109:20 (2021) - [j49]Jing Li, Aixin Sun, Yukun Ma:
Neural Named Entity Boundary Detection. IEEE Trans. Knowl. Data Eng. 33(4): 1790-1795 (2021) - [c143]Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng:
GDPNet: Refining Latent Multi-View Graph for Relation Extraction. AAAI 2021: 14194-14202 - [c142]Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Parallel Attention Network with Sequence Matching for Video Grounding. ACL/IJCNLP (Findings) 2021: 776-790 - [c141]Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
DocOIE: A Document-level Context-Aware Dataset for OpenIE. ACL/IJCNLP (Findings) 2021: 2377-2389 - [c140]Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Generative Inverse Deep Reinforcement Learning for Online Recommendation. CIKM 2021: 201-210 - [c139]Yong Liu, Susen Yang, Chenyi Lei, Guoxin Wang, Haihong Tang, Juyong Zhang, Aixin Sun, Chunyan Miao:
Pre-training Graph Transformer with Multimodal Side Information for Recommendation. ACM Multimedia 2021: 2853-2861 - [c138]Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Video Corpus Moment Retrieval with Contrastive Learning. SIGIR 2021: 685-695 - [c137]Xin Zheng, Aixin Sun, Karthik Muthuswamy:
Tweet-aware News Summarization with Dual-Attention Mechanism. WWW (Companion Volume) 2021: 473-480 - [i36]Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Natural Language Video Localization: A Revisit in Span-based Question Answering Framework. CoRR abs/2102.13558 (2021) - [i35]Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng:
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. CoRR abs/2105.00822 (2021) - [i34]Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
DocOIE: A Document-level Context-Aware Dataset for OpenIE. CoRR abs/2105.04271 (2021) - [i33]Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Video Corpus Moment Retrieval with Contrastive Learning. CoRR abs/2105.06247 (2021) - [i32]Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Parallel Attention Network with Sequence Matching for Video Grounding. CoRR abs/2105.08481 (2021) - [i31]Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao:
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. CoRR abs/2107.03019 (2021) - [i30]Yiyi Liu, Yequan Wang, Aixin Sun, Zheng Zhang, Jiafeng Guo, Xuying Meng:
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict. CoRR abs/2109.03587 (2021) - [i29]Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou:
Towards Debiasing Temporal Sentence Grounding in Video. CoRR abs/2111.04321 (2021) - [i28]