Junkang Wu

According to our database, Junkang Wu authored at least 35 papers between 2021 and 2026.

Collaborative distances:

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

2026

AdViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization.

Jinda Lu, Jinghan Li, Yuan Gao, Junkang Wu, Jiancan Wu, Xiang Wang, Xiangnan He

Int. J. Comput. Vis., May, 2026

R^2-Mem: Reflective Experience for Memory Search.

Xinyuan Wang, Wenyu Mao, Junkang Wu, Xiang Wang, Xiangnan He

CoRR, May, 2026

Beyond Where to Look: Trajectory-Guided Reinforcement Learning for Multimodal RLVR.

Jinda Lu, Junkang Wu, Jinghan Li, Kexin Huang, Shuo Yang, Mingzhu Chen, Jiancan Wu, Kuien Liu, Xiang Wang

CoRR, March, 2026

Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs.

Jinda Lu, Junkang Wu, Jinghan Li, Kexin Huang, Shuo Yang, Guoyin Wang, Jiancan Wu, Xiang Wang, Xiangnan He

CoRR, March, 2026

On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation.

Kexin Huang, Haoming Meng, Junkang Wu, Jinda Lu, Chiyu Ma, Ziqian Chen, Xue Wang, Bolin Ding, Jiancan Wu, Xiang Wang, Xiangnan He, Guoyin Wang, Jingren Zhou

CoRR, March, 2026

Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention.

Zhe Xu, Zhicai Wang, Junkang Wu, Jinda Lu, Xiang Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Quantile Advantage Estimation for Entropy-Safe Reasoning.

Junkang Wu, Kexin Huang, Jiancan Wu, An Zhang, Xiang Wang, Xiangnan He

CoRR, September, 2025

bi-GRPO: Bidirectional Optimization for Jailbreak Backdoor Injection on LLMs.

Wence Ji, Jiancan Wu, Aiying Li, Shuyi Zhang, Junkang Wu, An Zhang, Xiang Wang, Xiangnan He

CoRR, September, 2025

On Negative-aware Preference Optimization for Recommendation.

Chenlu Ding, Daoxuan Liu, Jiancan Wu, Xingyu Hu, Junkang Wu, Haitao Wang, Yongkang Wang, Xingxing Wang, Xiang Wang

CoRR, August, 2025

AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization.

Jinda Lu, Jinghan Li, Yuan Gao, Junkang Wu, Jiancan Wu, Xiang Wang, Xiangnan He

CoRR, April, 2025

Aligning Multimodal LLM with Human Preference: A Survey.

Tao Yu, Yifan Zhang, Chaoyou Fu, Junkang Wu, Jinda Lu, Kun Wang, Xingyu Lu, Yunhang Shen, Guibin Zhang, Dingjie Song, Yibo Yan, Tianlong Xu, Qingsong Wen, Zhang Zhang, Yan Huang, Liang Wang, Tieniu Tan

CoRR, March, 2025

RePO: ReLU-based Preference Optimization.

Junkang Wu, Kexin Huang, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang

CoRR, March, 2025

Larger or Smaller Reward Margins to Select Preferences for Alignment?

Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang

CoRR, March, 2025

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment.

Yifan Zhang, Tao Yu, Haochen Tian, Chaoyou Fu, Peiyan Li, Jianshu Zeng, Wulin Xie, Yang Shi, Huanyu Zhang, Junkang Wu, Xue Wang, Yibo Hu, Bin Wen, Fan Yang, Zhang Zhang, Tingting Gao, Di Zhang, Liang Wang, Rong Jin, Tieniu Tan

CoRR, February, 2025

AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization.

Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

Proceedings of the Forty-second International Conference on Machine Learning, 2025

DAMA: Data- and Model-aware Alignment of Multi-modal LLMs.

Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?

Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment.

Yifan Zhang, Tao Yu, Haochen Tian, Chaoyou Fu, Peiyan Li, Jianshu Zeng, Wulin Xie, Yang Shi, Huanyu Zhang, Junkang Wu, Xue Wang, Yibo Hu, Bin Wen, Tingting Gao, Zhang Zhang, Fan Yang, Di Zhang, Liang Wang, Rong Jin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization.

Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LaMP-Val: Large Language Models Empower Personalized Valuation in Auction.

Jie Sun, Tianyu Zhang, Houcheng Jiang, Kexin Huang, Xiang Shu, Zhibo Zhu, Lintao Ma, Xingyu Lu, Jun Zhou, Junkang Wu, Chi Luo, An Zhang, Jiancan Wu, Xiang Wang

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

Robust Preference Optimization via Dynamic Target Margins.

Jie Sun, Junkang Wu, Jiancan Wu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Lintao Ma, Xiang Wang

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

2024

Large Language Models Empower Personalized Valuation in Auction.

Jie Sun, Tianyu Zhang, Houcheng Jiang, Kexin Huang, Chi Luo, Junkang Wu, Jiancan Wu, An Zhang, Xiang Wang

CoRR, 2024

α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs.

Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

CoRR, 2024

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation.

Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He

Proceedings of the ACM on Web Conference 2024, 2024

β-DPO: Direct Preference Optimization with Dynamic β.

Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

BSL: Understanding and Improving Softmax Loss for Recommendation.

Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Masked Graph Modeling with Multi- View Contrast.

Yanchen Luo, Sihang Li, Yongduo Sui, Junkang Wu, Jiancan Wu, Xiang Wang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Direct Multi-Turn Preference Optimization for Language Agents.

Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng

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

2023

Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation.

Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, Xiangnan He

CoRR, 2023

FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion.

Wentao Shi, Junkang Wu, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Wei Wu, Xiangnan He

CoRR, 2023

On the Theories Behind Hard Negative Sampling for Recommendation.

Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He

Proceedings of the ACM Web Conference 2023, 2023

Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation.

Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He

Proceedings of the ACM Web Conference 2023, 2023

Understanding Contrastive Learning via Distributionally Robust Optimization.

Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Discriminative-Invariant Representation Learning for Unbiased Recommendation.

Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2021

DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network.

Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021