· [ml/dm] D. He, L. Shan, J. Zhao, H. Zhang, Z. Wang, W. Zhang, Exploitation of a latent mechanism in graph contrastive learning: Representation scattering, Proc 38-th Conf on Neural Information Processing Systems (NeurIPS 2024).
· [ml/dm] Y. Zhou, D. Jin, J. Wei, D. He, Z. Yu, and W. Zhang, Generalized taxonomy-guided graph neural networks, Proc 33-rd Intern. Joint Conf. on AI (IJCAI-24).
· [ml/dm] D. He, J. Zhao, R. Guo, Z. Feng, D. Jin, Y. Huang , Z. Wang and W. Zhang, Contrastive learning meets homophily: Two birds with one stone. Conf. on Machine Learning (ICML-2023)
· [ml/dm] D. Jin, R. Wang, M. Ge, H. He, X. Li, W. Lin and W. Zhang, RAW-GNN: Random Walk Aggregation based graph neural network, Proc 31-st Intern. Joint Conf. on AI(IJCAI-22).
· [ml/dm] D. He, Y. Song, D. Jin, Z. Feng, B. Zhang, Z. Yu and W. Zhang, Community-centric graph Convolutional Network for unsupervised community detection, Proc 29-th Intern. Joint Conf. on AI (IJCAI-20).
· [AI] X. Zhang, J. Gao, Y. Lv and W. Zhang, Early and efficient identification of useless constraint propagation for alldifferent constraints, Proc 29-th Intern. Joint Conf. on AI (IJCAI-20).
· [ml/dm] D. Jin, B. Li, P. Jiao, D. He and W. Zhang, Network-specific variational Auto-Encoder for embedding of attribute networks, Proc 28-th Intern. Joint Conf. on AI (IJCAI-19).
· [ml/dm] D. Jin, Z. Liu, W. Li, D. He and W. Zhang, Graph convolutional networks meet Markov Random Fields: Semi-supervised community detection in attribute networks, Proc 33-th AAAI Conf on AI (AAAI-19).
· [ml/dm] G. Meng, D. Jin and W. Zhang, Integrative network embedding via deep joint reconstruction, Proc 27-th Intern. Joint Conf. on AI (IJCAI-18).
· [AI] X. Zhang and W. Zhang, A fast algorithm for generalized arc consistency of the alldifferent constraint, Proc 27-th Intern. Joint Conf. on AI (IJCAI-18)
· [ml/dm] D. He, X. You, Z. Feng, D. Jin, X. Yang and W. Zhang, A network-specific Markov Random Field approach to community detection, Proc 32-nd AAAI Conf on AI (AAAI-18).
· [ml/dm] D. Jin, X. Wang, R. He, D. He and W. Zhang, Robust detection of link communities in large social networks by exploiting link semantics, Proc 32-nd AAAI Conf on AI (AAAI-18).
· [ml/dm] D. He, D. Jin and W. Zhang, Joint identification of network communities and semantics via integrative modeling of network topologies and node contents, Proc 31-st AAAI Conf on AI (AAAI-17).
· [ml/dm] L. Yang, X. Cao, D. He, W. Zhang, Modularity based community detection with deep learning, Proc 25-th Intern. Joint Conf. on AI (IJCAI-16), Buenos Aires, July 25-31, 2016
· [ml/dm] D. Jin, H. Wang, J. Dang, D. He and W. Zhang, Detect overlapping communities via ranking node popularities, Proc 30-th AAAI Conf on AI (AAAI-16)
· [ml/dm] X. Wang, D. Jin, X. Cao, L. Yang and W. Zhang, Semantic community identification in large attribute networks, Proc 30-th AAAI Conf on AI(AAAI-16)
· [ml/dm] Z. Chen, M. Chen, K. Weinberger and W. Zhang, Marginalized denoising for link prediction and multi-label learning, Proc. 29th AAAI Conf on Artificial Intelligence (AAAI-15)
· [ml/dm] D. Jin, Z. Chen, D. He and W. Zhang, Modeling with node degree preservation can accurately find communities, Proc. 29th AAAI Conf on Artificial Intelligence (AAAI-15)
· [ml/dm] D. He, D. Liu, D. Jin and W. Zhang, A stochastic model for the detection of heterogeneous link communities in complex networks, Proc. 29th AAAI Conf on Artificial Intelligence (AAAI-15)
· [ml/dm] Z. Chen and W. Zhang (2014) A marginalized denoising method for link prediction in relational data, Proc. SIAM Intern. Conf. on Data Mining (SDM-14)
· [ml/dm] Z. Chen and W. Zhang (2013) Domain adaptation with topical correspondence learning, Proc. 23rd Intern. Joint Conf. on Artificial Intelligence (IJCAI-13)
· [ml/dm] X. Zhou, J. Ruan and W. Zhang (2010) Promoter prediction based on a multiple instance learning scheme, ACM Intern. Conf. on Bioinformatics and Computational Biology, Aug. 2-4, 2010
· [ml/dm] S. Climer, A. Templeton and W. Zhang (2010) SplittingHeirs: Inferring haplotypes by optimizing resultant dense graphs, ACM Intern. Conf. on Bioinformatics and Computational Biology, 2010
· [AI] R. Huang, Y. Chen and W. Zhang (2010) A novel transition based encoding scheme for planning as Satisfiability, Proc. 24th AAAI Conf on Artificial Intelligence (AAAI-10).Outstanding Paper Award.
· [AI] R. Huang, Y. Chen and W. Zhang (2009) An optimal temporally expressive planner: Initial results and application to P2P network optimization, Proc. 19th Intern. Conf. on Automated Planning and Scheduling (ICAPS-09)
· [AI] Y. Chen, R. Huang and W. Zhang(2008) Fast planning by search in domain transition graphs, Proc. 23rd AAAI Conf on Artificial Intelligence(AAAI-2008)
· [ml/dm] J. Ruan and W. Zhang (2007) An efficient spectral algorithm for network community discovery and its applications to biological and social networks, Proc. IEEE Intern. Conf. on Data Mining (ICDM-2007), 2007.
· [AI] Z. Xing, Y. Chen and W. Zhang (2007) Long-distance mutual exclusion for propositional planning, Proc. 20th Intern. Joint Conf. on Artificial Intelligence (IJCAI-2007)
· [ml/dm] J. Ruan and W. Zhang (2006) Identification and evaluation of weak community structures in networks, Proc. 21st National Conf. on Artificial Intelligence, (AAAI-2006)
· [AI] Z. Xing, Y. Chen and W. Zhang (2006) An efficient hybrid strategy for temporal planning, Proc. 3rd Intern. Conf. on Integration of AI and OR Techniques for Constraint Programming for Combinatorial Optimization Problems (CP-AI-OR 2006)
· [AI] Z. Xing, Y. Chen and W. Zhang (2006) Optimal STRIPS planning by maximum satisfiability and accumulative learning, Proc. Intern. Conf. on Automated Planning and Scheduling (ICAPS-2006)
· [AI] Z. Xing, Y. Chen and W. Zhang (2006) MaxPlan: Optimal planning by decomposed satisfiability and backward reduction, Proc. 5-th Intern. Planning Competition, Intern. Conf. on Automated Planning and Scheduling (ICAPS-2006) (First Place Award, Optimal Planning Track)
· [ml/dm] G. Wang and W. Zhang* (2005) Build a dictionary, learn a grammar, decipher stegoscripts, and discover genomic regulatory elements,Proc. of 1st Annual RECOMB Satellite Workshop on Systems Biology and the Second Annual RECOMB Satellite Workshop on Regulatory Genomics, 2005.
· [ml/dm] X. Zhou, J. Ruan, G. Wang and W. Zhang* (2005) Computational characterization and identification of core promoters of microRNA genes in C. elegans, H. sapiens and A. thaliana, Proc. of 1st Annual RECOMB Satellite Workshop on Systems Biology and the Second Annual RECOMB Satellite Workshop on Regulatory Genomics, 2005.
· [AI] W. Zhangand M. Looks (2005) A novel local search algorithm for the Traveling Salesman Problem that exploits backbones, Proc. 19th Intern. Joint Conf. on Artificial Intelligence (IJCAI-2005)
· [ml/dm] S. Climer and W. Zhang (2004) Take a walk and cluster genes: A TSP-based approach to optimal rearrangement clustering, Proc. Intern. Conf. on Machine Learning (ICML-2004)
· [ml/dm] J. Buhler, R. Souvenir, W. Zhang and R. Mitra (2004) Design of a high-throughput assay for alternative splicing using polymerase colonies, Proc. Pacific Symposium on Biocomputing, (PSB-2004), 2004
· [AI] Z. Xing and W. Zhang (2004) Efficient strategies for (weighted) maximum satisfiability, Proc. 10th Intern. Conf. on Principles and Practice of Constraint Programming (CP-2004)
· [AI] S. Climer and W. Zhang (2004) A linear search strategy with bounds, Proc. 14th Intern. Conf. on Automated Planning and Scheduling(ICAPS-2004)
· [AI] X. Zhang and W. Zhang (2004) An improved integer local search for complex scheduling problems, Proc. 14-th Intern. Conf. on Automated Planning and Scheduling(ICAPS-2004)
· [ml/dm] R. Souvenir, J. Buhler, G. Stormo and W. Zhang*(2003) Selecting degenerate multiplex PCR primers, Proc. Workshop on Algorithms in Bioinformatics (WABI-2003), 2003.
· [AI] W. Zhang (2003) Phase transitions of the asymmetric Traveling Salesman, Proc. 18th Intern. Joint Conf. on AI (IJCAI-2003)
· [AI] W. Zhang, A. Rangan and M. Looks (2003) Backbone guided local search for maximum satisfiability, Proc. 18-th Intern. Joint Conf. on AI (IJCAI-2003)
· [AI] W. Zhang, Z. Xing, G. Wang and L. Wittenburg (2003) An analysis and application of distributed constraint satisfaction and optimization algorithms in sensor networks, Proc. 2nd Intern. Joint Conf. on Autonomous Agents and Multi Agent Systems (AAMAS-2003), 2003
· [AI] W. Zhang and L. Wittenburg (2002) Distributed implicit coordination in sensor networks, in Proc of 1st Intern. Joint Conf on Autonomous Agents and Multi-Agent Systems(AAMAS-2002)
· [AI] W. Zhang and L. Wittenburg (2002) Distributed breakout revisited, in Proc of 18th National Conf on Artificial Intelligence (AAAI-2002)
· [AI] S. Climer and W. Zhang (2002) Search for backbones and fat: A limiting-crossing approach with applications, in Proc of 18th National Conf on Artificial Intelligence(AAAI-2002)
· [AI] A. K. Sen, A. Bagchi and W. Zhang (2002) An Average-case analysis of graph search, in Proc. 18th National Conf on Artificial Intelligence(AAAI-2002)
· [AI] W. Zhang (2001) Phase transitions and backbones of 3-SAT and MAX3-SAT, in Proc. 7th Intern. Conf on Principles and Practice of Constraint Programming (CP-2001)
· [AI] J. Cirasella, D.S. Johnson, L. A. McGeoch and W. Zhang (2001) The asymmetric Traveling Salesman Problem: Algorithms, instance generators, and tests, in Proc 3rd Workshop on Algorithm Engineering and Experiments (ALENEX-2001)
· [ml/dm] W. Zhang (2000) Association-based multiple imputation in multivariate datasets: A summary, Proc of 16th Intern. Conf on Data Engineering (ICDE-2000), 2000
· [AI] W. Zhang (2000) Depth-first branch-and-bound vs. local search: A case study, Proc of 17th National Conf on Artificial Intelligence (AAAI-2000)
· [AI] R. E. Korf and W. Zhang (2000) Divide-and-conquer frontier search applied to multiple sequence alignment, Proc of 17th National Conf on Artificial Intelligence (AAAI-2000)
· [AI] H. Jung, M. Tambe, W. Zhang, and W-M. Shen (2000) Towards large-scale conflict resolution: Initial results, Proc of Intern. Conf on Multi-Agent Systems (ICMAS-2000)
· [AI] W. Zhang and R.Hill (2000) A template-based and pattern-driven approach to situation awareness and assessment in virtual humans, Proc of 4th Intern. Conf on Autonomous Agents (Agents 2000)
· [AI] K.S. Tso, G.K. Tharp, W. Zhang and A.T. Tai (1999) A multi-agent operator Interface for unmanned aerial vehicles, Proc of 18th Digital Avionics Systems Conf. Best paper award
· [AI] W. Zhang (1998) Complete Anytime Beam Search, Proc 15th National Conf on Artificial Intelligence (AAAI-1998).
· [AI] W. Zhang (1998) Flexible and approximate computation through state-space reduction, Proc of 14th Annual Conf on Uncertainty in Artificial Intelligence (UAI-1998)
· [AI] M. Tambe and W. Zhang (1998) Towards flexible teamwork in persistent teams, Proc of Intern. Conf on Multi-Agent Systems (ICMAS-1998). Selected as the Best of ICMAS-98.
· [AI] Y. Arens, W. Zhang, Y. Lee, J. Dukes-Schlossberg, and Marc Zev (1998) Warfighter’s information package, Proc of 10th Innovative Applications of Artificial Intelligence Conf (AAAI/IAAI-1998).
· [AI] W. Zhang (1996) Forward estimation for game-tree search, Proc of 13th National Conf on Artificial Intelligence (AAAI-1996)
· [AI] W. Zhang and J.C. Pemberton (1994) Epsilon-transformation: Exploiting complexity transitions to solve combinatorial optimization problems -Initial results, Proc of 12th National Conf on Artificial Intelligence (AAAI-1994)
· [AI] W. Zhang and R.E. Korf (1993) Depth-first vs. best-first search: New results, Proc of 11th National Conf on Artificial Intelligence (AAAI-1993)
· [AI] W. Zhang and R.E. Korf (1992) An average-case analysis of branch-and-bound with applications: Summary of results, Proc of 10th National Conf on Artificial Intelligence (AAAI-1992)