Junkang Wu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Efficient Optimization

Graph Embedding

Sampling Strategy

Agent Oriented Programming Language

Top Venues

Publications

Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng
Direct Multi-Turn Preference Optimization for Language Agents. CoRR (2024)
Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. CoRR (2024)
Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. CoRR (2024)
Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. WWW (2024)
Yanchen Luo, Sihang Li, Yongduo Sui, Junkang Wu, Jiancan Wu, Xiang Wang
Masked Graph Modeling with Multi- View Contrast. ICDE (2024)
Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
β-DPO: Direct Preference Optimization with Dynamic β. CoRR (2024)
Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang
BSL: Understanding and Improving Softmax Loss for Recommendation. ICDE (2024)
Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He
Understanding Contrastive Learning via Distributionally Robust Optimization. CoRR (2023)
Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He
Discriminative-Invariant Representation Learning for Unbiased Recommendation. IJCAI (2023)
Wentao Shi, Junkang Wu, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Wei Wu, Xiangnan He
FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion. CoRR (2023)
Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He
On the Theories Behind Hard Negative Sampling for Recommendation. WWW (2023)
Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He
Understanding Contrastive Learning via Distributionally Robust Optimization. NeurIPS (2023)
Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang
BSL: Understanding and Improving Softmax Loss for Recommendation. CoRR (2023)
Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He
Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. WWW (2023)
Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He
On the Theories Behind Hard Negative Sampling for Recommendation. CoRR (2023)
Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, Xiangnan He
Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation. CoRR (2023)
Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. CIKM (2021)
Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. CoRR (2021)