Yongsen Zheng

38 papers A* 7Journal 23Unranked 8
YearRankTypeTitle / Venue / Authors
2026 — conf
Attribution Techniques for Mitigating Hallucinated Information in RAG Systems: A Survey.
ICAIIC
Yuqing Zhao, Ziyao Liu, Yongsen Zheng, Kwok-Yan Lam
2026 J jnl
Attribution Techniques for Mitigating Hallucinated Information in RAG Systems: A Survey.
CoRR
Yuqing Zhao, Ziyao Liu, Yongsen Zheng, Kwok-Yan Lam
2026 J jnl
Beyond Max Tokens: Stealthy Resource Amplification via Tool Calling Chains in LLM Agents.
CoRR
Kaiyu Zhou, Yongsen Zheng, Yicheng He, Meng Xue, Xueluan Gong, Yuji Wang, Kwok-Yan Lam
2026 J jnl
CIREC: Causal Intervention-Inspired Policy Learning to Mitigate Exposure Bias for Interactive Recommendation.
IEEE Trans. Knowl. Data Eng.
Yongsen Zheng, Guohua Wang, Jinghui Qin, Ziliang Chen, Junfan Lin, Pengxu Wei, Liang Lin, Kwok-Yan Lam
2026 — conf
FROC: A Unified Framework with Risk-Optimized Control for Machine Unlearning in LLMs.
ICAIIC
Si Qi Goh, Yongsen Zheng, Ziyao Liu, Sami Hormi, Kwok-Yan Lam
2026 J jnl
Improving Methodologies for Agentic Evaluations Across Domains: Leakage of Sensitive Information, Fraud and Cybersecurity Threats.
CoRR
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
2026 J jnl
Improving Methodologies for LLM Evaluations Across Global Languages.
CoRR
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
2026 J jnl
Process-of-Thought Reasoning for Videos.
CoRR
Jusheng Zhang, Kaitong Cai, Jian Wang, Yongsen Zheng, Kwok-Yan Lam, Keze Wang
2026 J jnl
Spectral Gating Networks.
CoRR
Jusheng Zhang, Yijia Fan, Kaitong Cai, Jing Yang, Yongsen Zheng, Kwok-Yan Lam, Liang Lin, Keze Wang
2026 J jnl
The Shadow Self: Intrinsic Value Misalignment in Large Language Model Agents.
CoRR
Chen Chen, Kim Young Il, Yuan Yang, Wenhao Su, Yilin Zhang, Xueluan Gong, Qian Wang, Yongsen Zheng, Ziyao Liu, Kwok-Yan Lam
2025 — conf
AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay.
KDD (2)
Ziyi Tang, Zechuan Chen, Jiarui Yang, Jiayao Mai, Yongsen Zheng, Keze Wang, Jinrui Chen, Liang Lin
2025 J jnl
AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay.
CoRR
Ziyi Tang, Zechuan Chen, Jiarui Yang, Jiayao Mai, Yongsen Zheng, Keze Wang, Jinrui Chen, Liang Lin
2025 — conf
CMHKF: Cross-Modality Heterogeneous Knowledge Fusion for Weakly Supervised Video Anomaly Detection.
ACL (1)
Guohua Wang, Shengping Song, Wuchun He, Yongsen Zheng
2025 A* conf
Cross-modal Causal Relation Alignment for Video Question Grounding.
CVPR
Weixing Chen, Yang Liu, Binglin Chen, Jiandong Su, Yongsen Zheng, Liang Lin
2025 J jnl
Cross-modal Causal Relation Alignment for Video Question Grounding.
CoRR
Weixing Chen, Yang Liu, Binglin Chen, Jiandong Su, Yongsen Zheng, Liang Lin
2025 J jnl
FROC: A Unified Framework with Risk-Optimized Control for Machine Unlearning in LLMs.
CoRR
Si Qi Goh, Yongsen Zheng, Ziyao Liu, Sami Hormi, Kwok-Yan Lam
2025 — conf
HyperCRS: Hypergraph-Aware Multi-Grained Preference Learning to Burst Filter Bubbles in Conversational Recommendation System.
ACL (Findings)
Yongsen Zheng, Mingjie Qian, Guohua Wang, Yang Liu, Ziliang Chen, Mingzhi Mao, Liang Lin, Kwok-Yan Lam
2025 J jnl
Learning to See and Act: Task-Aware View Planning for Robotic Manipulation.
CoRR
Yongjie Bai, Zhouxia Wang, Yang Liu, Weixing Chen, Ziliang Chen, Mingtong Dai, Yongsen Zheng, Lingbo Liu, Guanbin Li, Liang Lin
2025 J jnl
Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution.
CoRR
Chen Chen, Yuchen Sun, Jiaxin Gao, Xueluan Gong, Qian Wang, Ziyao Wang, Yongsen Zheng, Kwok-Yan Lam
2025 J jnl
ODMixer: Fine-Grained Spatial-Temporal MLP for Metro Origin-Destination Prediction.
IEEE Trans. Knowl. Data Eng.
Yang Liu, Binglin Chen, Yongsen Zheng, Lechao Cheng, Guanbin Li, Liang Lin
2025 J jnl
Threats, Attacks, and Defenses in Machine Unlearning: A Survey.
IEEE Open J. Comput. Soc.
Ziyao Liu, Huanyi Ye, Chen Chen, Yongsen Zheng, Kwok-Yan Lam
2025 J jnl
Understanding Hardness of Vision-Language Compositionality from A Token-level Causal Lens.
CoRR
Ziliang Chen, Tianang Xiao, Jusheng Zhang, Yongsen Zheng, Xipeng Chen
2025 — conf
Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System.
ACL (Findings)
Yongsen Zheng, Zongxuan Xie, Guohua Wang, Ziyao Liu, Liang Lin, Kwok-Yan Lam
2025 J jnl
Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System.
CoRR
Yongsen Zheng, Zongxuan Xie, Guohua Wang, Ziyao Liu, Liang Lin, Kwok-Yan Lam
2024 J jnl
An Order-Complexity Aesthetic Assessment Model for Aesthetic-aware Music Recommendation.
CoRR
Xin Jin, Wu Zhou, Jingyu Wang, Duo Xu, Yongsen Zheng
2024 J jnl
CIPL: Counterfactual Interactive Policy Learning to Eliminate Popularity Bias for Online Recommendation.
IEEE Trans. Neural Networks Learn. Syst.
Yongsen Zheng, Jinghui Qin, Pengxu Wei, Ziliang Chen, Liang Lin
2024 A* conf
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach.
AAAI
Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin
2024 A* conf
Diversity Matters: User-Centric Multi-Interest Learning for Conversational Movie Recommendation.
ACM Multimedia
Yongsen Zheng, Guohua Wang, Yang Liu, Liang Lin
2024 A* conf
FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System.
AAAI
Yongsen Zheng, Ziliang Chen, Jinghui Qin, Liang Lin
2024 J jnl
Fine-grained Spatial-temporal MLP Architecture for Metro Origin-Destination Prediction.
CoRR
Yang Liu, Binglin Chen, Yongsen Zheng, Guanbin Li, Liang Lin
2024 — conf
HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation.
ACL (1)
Yongsen Zheng, Ruilin Xu, Ziliang Chen, Guohua Wang, Mingjie Qian, Jinghui Qin, Liang Lin
2024 A* conf
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation.
EMNLP
Yongsen Zheng, Ruilin Xu, Guohua Wang, Liang Lin, Kwok-Yan Lam
2024 J jnl
Routing User-Interest Markov Tree for Scalable Personalized Knowledge-Aware Recommendation.
IEEE Trans. Neural Networks Learn. Syst.
Yongsen Zheng, Pengxu Wei, Ziliang Chen, Chengpei Tang, Liang Lin
2023 A* conf
An Order-Complexity Aesthetic Assessment Model for Aesthetic-aware Music Recommendation.
ACM Multimedia
Xin Jin, Wu Zhou, Jinyu Wang, Duo Xu, Yongsen Zheng
2023 J jnl
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach.
CoRR
Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin
2023 J jnl
Graph-Convolved Factorization Machines for Personalized Recommendation.
IEEE Trans. Knowl. Data Eng.
Yongsen Zheng, Pengxu Wei, Ziliang Chen, Yang Cao, Liang Lin
2023 A* conf
HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System.
EMNLP
Mingjie Qian, Yongsen Zheng, Jinghui Qin, Liang Lin
2016 — conf
Far-infrared pedestrians detection based on adaptive template matching and heterogeneous-feature-based classification.
I2MTC
Guohua Wang, Qiong Liu, Yongsen Zheng, Shaowu Peng