IJCAI

History repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting

Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schuelke, Heiner Stuckenschmidt

Comments Accepted at IJCAI 2024

Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis

Zhengyang Lu, Stefan Siemer, Piyush Jha, Joel Day, Florin Manea, Vijay Ganesh

Comments Accepted at IJCAI 2024

AutoAgents: A Framework for Automatic Agent Generation

Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje F. Karlsson, Jie Fu, Yemin Shi

Comments IJCAI 2024

Dual Expert Distillation Network for Generalized Zero-Shot Learning

Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao

Comments 9 pages, 4 figures; Accepted to IJCAI 2024

Allocating Mixed Goods with Customized Fairness and Indivisibility Ratio

Bo Li, Zihao Li, Shengxin Liu, Zekai Wu

Comments Appears in the 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024

Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling

Di Wu, Shicai Fan, Xue Zhou, Li Yu, Yuzhong Deng, Jianxiao Zou, Baihong Lin

Journal ref International Joint Conference on Artificial Intelligence 2024

Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics

Xiaoshuai Wu, Xin Liao, Bo Ou, Yuling Liu, Zheng Qin

Comments Accepted by IJCAI 2024

Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target

Zitong Zhang, Yang Liu, Hao Sun

Comments 17 pages

Journal ref IJCAI 2024

Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction

Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu

Comments IJCAI 2024

Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors

Guozheng Li, Peng Wang, Jiajun Liu, Yikai Guo, Ke Ji, Ziyu Shang, Zijie Xu

Comments IJCAI 2024

Empirical Analysis of Dialogue Relation Extraction with Large Language Models

Guozheng Li, Zijie Xu, Ziyu Shang, Jiajun Liu, Ke Ji, Yikai Guo

Comments IJCAI 2024

FedPFT: Federated Proxy Fine-Tuning of Foundation Models

Zhaopeng Peng, Xiaoliang Fan, Yufan Chen, Zheng Wang, Shirui Pan, Chenglu Wen, Ruisheng Zhang, Cheng Wang

Comments Accepted by IJCAI'24

What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning

Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang

Comments 13 pages, 9 figures, accepted by IJCAI 2024

InstructEdit: Instruction-based Knowledge Editing for Large Language Models

Ningyu Zhang, Bozhong Tian, Siyuan Cheng, Xiaozhuan Liang, Yi Hu, Kouying Xue, Yanjie Gou, Xi Chen, Huajun Chen

Comments IJCAI 2024; the project website is at https://www.zjukg.org/project/InstructEdit/

A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment

Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Hanlin Kong, Yanchen Guan, Guofa Li, Zhiyong Cui, Chengzhong Xu

Comments Accepted by IJCAI 2024

Agentive Permissions in Multiagent Systems

Qi Shi

Comments The 33rd International Joint Conference on Artificial Intelligence (IJCAI-24)

The Trembling-Hand Problem for LTLf Planning

Pian Yu, Shufang Zhu, Giuseppe De Giacomo, Marta Kwiatkowska, Moshe Vardi

Comments The paper is accepted by IJCAI 2024

FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning

Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li

Comments Accepted by IJCAI 2024

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders

Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu

Comments 9 pages, 3 Figures. Accepted by IJCAI 2024

Gradformer: Graph Transformer with Exponential Decay

Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu

Comments 9 pages, 7 figures. Accepted by IJCAI 2024

Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward

Arnav Chavan, Raghav Magazine, Shubham Kushwaha, Mérouane Debbah, Deepak Gupta

Comments Accepted at IJCAI '24 (Survey Track), Updated TGI results

A Survey of Graph Meets Large Language Model: Progress and Future Directions

Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu

Comments IJCAI 2024 Survey Track

A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning

Lang Qin, Rui Yan, Huajin Tang

Comments Accepted at IJCAI 2023. 9 pages, 6 figures, and 4 tables. Codes are available at https://github.com/StillWolf/ACSF-SNN

Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It

Yuta Saito, Masahiro Nomura

Comments IJCAI'24

Beyond the Speculative Game: A Survey of Speculative Execution in Large Language Models

Chen Zhang, Zhuorui Liu, Dawei Song

Comments 10 pages, 4 figures, 1 table, rejected from IJCAI 2024, revision in progress

A Dataset and Model for Realistic License Plate Deblurring

Haoyan Gong, Yuzheng Feng, Zhenrong Zhang, Xianxu Hou, Jingxin Liu, Siqi Huang, Hongbin Liu

Comments Accepted by IJCAI 2024

Continual Learning with Pre-Trained Models: A Survey

Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan

Comments Accepted to IJCAI 2024. Code is available at: https://github.com/sun-hailong/LAMDA-PILOT

Individual Rationality in Topological Distance Games is Surprisingly Hard

Argyrios Deligkas, Eduard Eiben, Dušan Knop, Šimon Schierreich

Comments A preliminary version appeared in IJCAI '24

Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning

Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang

Comments The paper has been accepted by IJCAI 2024

Trends, Applications, and Challenges in Human Attention Modelling

Giuseppe Cartella, Marcella Cornia, Vittorio Cuculo, Alessandro D'Amelio, Dario Zanca, Giuseppe Boccignone, Rita Cucchiara

Comments Accepted at IJCAI 2024 Survey Track