Yongsen Zheng

According to our database, Yongsen Zheng authored at least 34 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

MemMorph: Tool Hijacking in LLM Agents via Memory Poisoning.

Xuanye Zhang, Yongsen Zheng, Zhuqin Xu, Kaiyu Zhou, Bowen Shen, Haoran Ou, Tianwei Zhang, Kwok-Yan Lam

CoRR, May, 2026

How Do Document Parsers Break? Auditing Structural Vulnerability in Document Intelligence.

Yue Chen, Yihao Wang, Ziyi Tang, Yongsen Zheng, Keze Wang

CoRR, May, 2026

Process-of-Thought Reasoning for Videos.

Jusheng Zhang, Kaitong Cai, Jian Wang, Yongsen Zheng, Kwok-Yan Lam, Keze Wang

CoRR, February, 2026

Spectral Gating Networks.

Jusheng Zhang, Yijia Fan, Kaitong Cai, Jing Yang, Yongsen Zheng, Kwok-Yan Lam, Liang Lin, Keze Wang

CoRR, February, 2026

CIREC: Causal Intervention-Inspired Policy Learning to Mitigate Exposure Bias for Interactive Recommendation.

Yongsen Zheng, Guohua Wang, Jinghui Qin, Ziliang Chen, Junfan Lin, Pengxu Wei, Liang Lin, Kwok-Yan Lam

IEEE Trans. Knowl. Data Eng., January, 2026

The Shadow Self: Intrinsic Value Misalignment in Large Language Model Agents.

Chen Chen, Kim Young Il, Yuan Yang, Wenhao Su, Yilin Zhang, Xueluan Gong, Qian Wang, Yongsen Zheng, Ziyao Liu, Kwok-Yan Lam

CoRR, January, 2026

Improving Methodologies for LLM Evaluations Across Global Languages.

Akriti Vij, Benjamin Chua, Darshini Ramiah, En Qi Ng, Mahran Morsidi, Naga Nikshith Gangarapu, Sharmini Johnson, Vanessa Wilfred, Vikneswaran Kumaran, Wan Sie Lee, Wenzhuo Yang, Yongsen Zheng, Bill Black, Boming Xia, Frank Sun, Hao Zhang, Qinghua Lu, Suyu Ma, Yue Liu, Chi-kiu Lo, Fatemeh Azadi, Isar Nejadgholi, Sowmya Vajjala, Agnès Delaborde, Nicolas Rolin, Tom Seimandi, Akiko Murakami, Haruto Ishi, Satoshi Sekine, Takayuki Semitsu, Tasuku Sasaki, Angela Kinuthia, Jean Wangari, Michael Michie, Stephanie Kasaon, Hankyul Baek, Jaewon Noh, Kihyuk Nam, Sang Seo, Sungpil Shin, Taewhi Lee, Yongsu Kim, Daisy Newbold-Harrop, Jessica Wang, Mahmoud Ghanem, Vy Hong

CoRR, January, 2026

Improving Methodologies for Agentic Evaluations Across Domains: Leakage of Sensitive Information, Fraud and Cybersecurity Threats.

Ee Wei Seah, Yongsen Zheng, Naga Nikshith, Mahran Morsidi, Gabriel Waikin Loh Matienzo, Nigel Gay, Akriti Vij, Benjamin Chua, En Qi Ng, Sharmini Johnson, Vanessa Wilfred, Wan Sie Lee, Anna Davidson, Catherine Devine, Erin Zorer, Gareth Holvey, Harry Coppock, James Walpole, Jerome Wynee, Magda Dubois, Michael Schmatz, Patrick Keane, Sam Deverett, Bill Black, Bo Yan, Bushra Sabir, Frank Sun, Hao Zhang, Harriet Farlow, Helen Zhou, Lingming Dong, Qinghua Lu, Seung Jang, Sharif Abuadbba, Simon O'Callaghan, Suyu Ma, Tom Howroyd, Cyrus Fung, Fatemeh Azadi, Isar Nejadgholi, Krishnapriya Vishnubhotla, Pulei Xiong, Saeedeh Lohrasbi, Scott Buffett, Shahrear Iqbal, Sowmya Vajjala, Anna Safont-Andreu, Luca Massarelli, Oskar van der Wal, Simon Möller, Agnès Delaborde, Joris Duguépéroux, Nicolas Rolin, Romane Gallienne, Sarah Behanzin, Tom Seimandi, Akiko Murakami, Takayuki Semitsu, Teresa Tsukiji, Angela Kinuthia, Michael Michie, Stephanie Kasaon, Jean Wangari, Hankyul Baek, Jaewon Noh, Kihyuk Nam, Sang Seo, Sungpil Shin, Taewhi Lee, Yongsu Kim

CoRR, January, 2026

Beyond Max Tokens: Stealthy Resource Amplification via Tool Calling Chains in LLM Agents.

Kaiyu Zhou, Yongsen Zheng, Yicheng He, Meng Xue, Xueluan Gong, Yuji Wang, Kwok-Yan Lam

CoRR, January, 2026

Attribution Techniques for Mitigating Hallucinated Information in RAG Systems: A Survey.

Yuqing Zhao, Ziyao Liu, Yongsen Zheng, Kwok-Yan Lam

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026

FROC: A Unified Framework with Risk-Optimized Control for Machine Unlearning in LLMs.

Si Qi Goh, Yongsen Zheng, Ziyao Liu, Sami Hormi, Kwok-Yan Lam

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026

2025

Understanding Hardness of Vision-Language Compositionality from A Token-level Causal Lens.

Ziliang Chen, Tianang Xiao, Jusheng Zhang, Yongsen Zheng, Xipeng Chen

CoRR, October, 2025

ODMixer: Fine-Grained Spatial-Temporal MLP for Metro Origin-Destination Prediction.

Yang Liu, Binglin Chen, Yongsen Zheng, Lechao Cheng, Guanbin Li, Liang Lin

IEEE Trans. Knowl. Data Eng., September, 2025

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution.

Chen Chen, Yuchen Sun, Jiaxin Gao, Xueluan Gong, Qian Wang, Ziyao Wang, Yongsen Zheng, Kwok-Yan Lam

CoRR, August, 2025

Learning to See and Act: Task-Aware View Planning for Robotic Manipulation.

Yongjie Bai, Zhouxia Wang, Yang Liu, Weixing Chen, Ziliang Chen, Mingtong Dai, Yongsen Zheng, Lingbo Liu, Guanbin Li, Liang Lin

CoRR, August, 2025

Threats, Attacks, and Defenses in Machine Unlearning: A Survey.

Ziyao Liu, Huanyi Ye, Chen Chen, Yongsen Zheng, Kwok-Yan Lam

IEEE Open J. Comput. Soc., 2025

AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay.

Ziyi Tang, Zechuan Chen, Jiarui Yang, Jiayao Mai, Yongsen Zheng, Keze Wang, Jinrui Chen, Liang Lin

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Cross-modal Causal Relation Alignment for Video Question Grounding.

Weixing Chen, Yang Liu, Binglin Chen, Jiandong Su, Yongsen Zheng, Liang Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System.

Yongsen Zheng, Zongxuan Xie, Guohua Wang, Ziyao Liu, Liang Lin, Kwok-Yan Lam

Proceedings of the Findings of the Association for Computational Linguistics, 2025

HyperCRS: Hypergraph-Aware Multi-Grained Preference Learning to Burst Filter Bubbles in Conversational Recommendation System.

Yongsen Zheng, Mingjie Qian, Guohua Wang, Yang Liu, Ziliang Chen, Mingzhi Mao, Liang Lin, Kwok-Yan Lam

Proceedings of the Findings of the Association for Computational Linguistics, 2025

CMHKF: Cross-Modality Heterogeneous Knowledge Fusion for Weakly Supervised Video Anomaly Detection.

Guohua Wang, Shengping Song, Wuchun He, Yongsen Zheng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

CIPL: Counterfactual Interactive Policy Learning to Eliminate Popularity Bias for Online Recommendation.

Yongsen Zheng, Jinghui Qin, Pengxu Wei, Ziliang Chen, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Routing User-Interest Markov Tree for Scalable Personalized Knowledge-Aware Recommendation.

Yongsen Zheng, Pengxu Wei, Ziliang Chen, Chengpei Tang, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Fine-grained Spatial-temporal MLP Architecture for Metro Origin-Destination Prediction.

Yang Liu, Binglin Chen, Yongsen Zheng, Guanbin Li, Liang Lin

CoRR, 2024

An Order-Complexity Aesthetic Assessment Model for Aesthetic-aware Music Recommendation.

Xin Jin, Wu Zhou, Jingyu Wang, Duo Xu, Yongsen Zheng

CoRR, 2024

Diversity Matters: User-Centric Multi-Interest Learning for Conversational Movie Recommendation.

Yongsen Zheng, Guohua Wang, Yang Liu, Liang Lin

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation.

Yongsen Zheng, Ruilin Xu, Guohua Wang, Liang Lin, Kwok-Yan Lam

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation.

Yongsen Zheng, Ruilin Xu, Ziliang Chen, Guohua Wang, Mingjie Qian, Jinghui Qin, Liang Lin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System.

Yongsen Zheng, Ziliang Chen, Jinghui Qin, Liang Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach.

Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Graph-Convolved Factorization Machines for Personalized Recommendation.

Yongsen Zheng, Pengxu Wei, Ziliang Chen, Yang Cao, Liang Lin

IEEE Trans. Knowl. Data Eng., 2023

An Order-Complexity Aesthetic Assessment Model for Aesthetic-aware Music Recommendation.

Xin Jin, Wu Zhou, Jinyu Wang, Duo Xu, Yongsen Zheng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System.

Mingjie Qian, Yongsen Zheng, Jinghui Qin, Liang Lin

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2016

Far-infrared pedestrians detection based on adaptive template matching and heterogeneous-feature-based classification.

Guohua Wang, Qiong Liu, Yongsen Zheng, Shaowu Peng

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016